data
dict |
|---|
{
"proceeding": {
"id": "1r5431kxiAE",
"title": "2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)",
"acronym": "trustcom",
"groupId": "1800729",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1r549JhpD68",
"doi": "10.1109/TrustCom50675.2020.00111",
"title": "Scalable and Accurate Binary Code Search Method Based on Simhash and Partial Trace",
"normalizedTitle": "Scalable and Accurate Binary Code Search Method Based on Simhash and Partial Trace",
"abstract": "Binary code search has received much attention recently due to its impactful applications, e.g., plagiarism detection, malware detection and software vulnerability auditing. However, developing an effective binary code search tool is challenging due to the gigantic syntax and structural differences in binaries resulted from different compilers, compiler options and malware family. In this paper, we propose a scalable and accurate binary search engine which performs syntactic matching by combining a set of key techniques to address the challenges above. The key contribution is binary code searching technique which combined function filtering and partial trace method to match the function code relatively quick and accurate. In addition, a simhash and basic information based function filtering is proposed to dramatically reduce the irrelevant target functions. Besides, we introduce a partial trace method for matching the shortlisted function accurately. The experimental results show that our method can find similar functions, even with the presence of program structure distortion, in a scalable manner.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Binary code search has received much attention recently due to its impactful applications, e.g., plagiarism detection, malware detection and software vulnerability auditing. However, developing an effective binary code search tool is challenging due to the gigantic syntax and structural differences in binaries resulted from different compilers, compiler options and malware family. In this paper, we propose a scalable and accurate binary search engine which performs syntactic matching by combining a set of key techniques to address the challenges above. The key contribution is binary code searching technique which combined function filtering and partial trace method to match the function code relatively quick and accurate. In addition, a simhash and basic information based function filtering is proposed to dramatically reduce the irrelevant target functions. Besides, we introduce a partial trace method for matching the shortlisted function accurately. The experimental results show that our method can find similar functions, even with the presence of program structure distortion, in a scalable manner.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Binary code search has received much attention recently due to its impactful applications, e.g., plagiarism detection, malware detection and software vulnerability auditing. However, developing an effective binary code search tool is challenging due to the gigantic syntax and structural differences in binaries resulted from different compilers, compiler options and malware family. In this paper, we propose a scalable and accurate binary search engine which performs syntactic matching by combining a set of key techniques to address the challenges above. The key contribution is binary code searching technique which combined function filtering and partial trace method to match the function code relatively quick and accurate. In addition, a simhash and basic information based function filtering is proposed to dramatically reduce the irrelevant target functions. Besides, we introduce a partial trace method for matching the shortlisted function accurately. The experimental results show that our method can find similar functions, even with the presence of program structure distortion, in a scalable manner.",
"fno": "438000a818",
"keywords": [
"Binary Codes",
"File Organisation",
"Information Retrieval",
"Invasive Software",
"Program Compilers",
"Search Engines",
"Search Problems",
"Security Of Data",
"Software Maintenance",
"Simhash",
"Plagiarism Detection",
"Malware Detection",
"Software Vulnerability Auditing",
"Effective Binary Code Search Tool",
"Gigantic Syntax",
"Structural Differences",
"Different Compilers",
"Compiler Options",
"Malware Family",
"Scalable Search Engine",
"Accurate Binary Search Engine",
"Syntactic Matching",
"Binary Code Searching Technique",
"Partial Trace Method",
"Function Code",
"Basic Information Based Function Filtering",
"Irrelevant Target Functions",
"Shortlisted Function",
"Similar Functions",
"Scalable Manner",
"Filtering",
"Binary Codes",
"Syntactics",
"Tools",
"Distortion",
"Malware",
"Security",
"Binary Code Search",
"Malware Homology Analysisi",
"Partial Trace",
"Simhash"
],
"authors": [
{
"affiliation": "Guangdong Provincial Key Laboratory of Power System Network Security, Electric Power Research Institute, CSG, China",
"fullName": "Yunan Zhang",
"givenName": "Yunan",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Guangdong Provincial Key Laboratory of Power System Network Security, Electric Power Research Institute, CSG, China",
"fullName": "Aidong Xu Xu",
"givenName": "Aidong Xu",
"surname": "Xu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Guangdong Provincial Key Laboratory of Power System Network Security, Electric Power Research Institute, CSG, China",
"fullName": "Yixin Jiang",
"givenName": "Yixin",
"surname": "Jiang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "trustcom",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-12-01T00:00:00",
"pubType": "proceedings",
"pages": "818-826",
"year": "2020",
"issn": null,
"isbn": "978-1-6654-0392-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "438000a810",
"articleId": "1r54353SnBe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "438000a827",
"articleId": "1r54h9TQ9J6",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/compsac/2013/4986/0/4986a492",
"title": "Expose: Discovering Potential Binary Code Re-use",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2013/4986a492/12OmNxH9XeD",
"parentPublication": {
"id": "proceedings/compsac/2013/4986/0",
"title": "2013 IEEE 37th Annual Computer Software and Applications Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ase/2017/2684/0/08115647",
"title": "Towards robust instruction-level trace alignment of binary code",
"doi": null,
"abstractUrl": "/proceedings-article/ase/2017/08115647/12OmNyKrH8l",
"parentPublication": {
"id": "proceedings/ase/2017/2684/0",
"title": "2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cyberc/2012/4810/0/4810a039",
"title": "BTMD: A Framework of Binary Translation Based Malcode Detector",
"doi": null,
"abstractUrl": "/proceedings-article/cyberc/2012/4810a039/12OmNzVGcTW",
"parentPublication": {
"id": "proceedings/cyberc/2012/4810/0",
"title": "2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/2019/11/08338420",
"title": "Accurate and Scalable Cross-Architecture Cross-OS Binary Code Search with Emulation",
"doi": null,
"abstractUrl": "/journal/ts/2019/11/08338420/13rRUy3xY9Y",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/2023/01/09707874",
"title": "Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking",
"doi": null,
"abstractUrl": "/journal/ts/2023/01/09707874/1APlDoN1PAQ",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trustcom/2021/1658/0/165800b100",
"title": "BinDeep: Binary to Source Code Matching Using Deep Learning",
"doi": null,
"abstractUrl": "/proceedings-article/trustcom/2021/165800b100/1BBzAffULXG",
"parentPublication": {
"id": "proceedings/trustcom/2021/1658/0",
"title": "2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/saner/2022/3786/0/378600a601",
"title": "Cross-Language Binary-Source Code Matching with Intermediate Representations",
"doi": null,
"abstractUrl": "/proceedings-article/saner/2022/378600a601/1FbSWHbL3vq",
"parentPublication": {
"id": "proceedings/saner/2022/3786/0",
"title": "2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sp/2023/9336/0/933600a800",
"title": "PyFET: Forensically Equivalent Transformation for Python Binary Decompilation",
"doi": null,
"abstractUrl": "/proceedings-article/sp/2023/933600a800/1Js0DmsXjQQ",
"parentPublication": {
"id": "proceedings/sp/2023/9336/0/",
"title": "2023 IEEE Symposium on Security and Privacy (SP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dsn/2021/3572/0/357200a224",
"title": "Asteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection",
"doi": null,
"abstractUrl": "/proceedings-article/dsn/2021/357200a224/1vQDqTiwni8",
"parentPublication": {
"id": "proceedings/dsn/2021/3572/0",
"title": "2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icssa/2020/3246/0/324600a032",
"title": "Compiling and Analyzing Open Source Malware for Research Purposes",
"doi": null,
"abstractUrl": "/proceedings-article/icssa/2020/324600a032/1w0AMrz7exO",
"parentPublication": {
"id": "proceedings/icssa/2020/3246/0",
"title": "2020 International Conference on Software Security and Assurance (ICSSA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNBAIAQd",
"title": "2015 International Conference on Interactive Technologies and Games (iTAG)",
"acronym": "itag",
"groupId": "1804884",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNvAiSJA",
"doi": "10.1109/iTAG.2015.9",
"title": "Computer Games for User Engagement in Attention Deficit Hyperactivity Disorder (ADHD) Monitoring and Therapy",
"normalizedTitle": "Computer Games for User Engagement in Attention Deficit Hyperactivity Disorder (ADHD) Monitoring and Therapy",
"abstract": "State-of-the-art computer games and psychological tests for symptom monitoring and therapy in Attention Deficit Hyperactivity Disorder (ADHD) are explored and reviewed. Three foci for research studies are identified: task (human performance) focus, educational focus, medical/clinical focus. It is found that game designs in the literature include a variety of tests of cognition mostly dependent on attention and executive functions (inhibitory motor control, working memory, interference suppression) which involve reactions to stimuli on computer (or mobile phone) screens. In addition, based on the measurement of neural pathways that can be accessed by Brain Computer Interfaces, there are several applications of games that employ biofeedback and demand the user to control aspects of their brain activity to play them, with the aim of improving function. A number of games have been used in clinical studies for self-monitoring and therapy, some of these controlled with comparators such as treatment as usual or cognitive therapies, or with the individual as their own control, where efficacy is evaluated by measuring behavioural and functional outcomes on measurement instruments such as ADHD or behavioural trait questionnaires or other cognitive tests. Other applications of games include education and raising awareness of mental health conditions to reduce stigma. The paper then presents and proposes designs of new games that are based on psychological tests or tasks that aim to monitor or improve attention, inhibitory and/or motor activity including Continuous Performance Tests, Go/No-go and Stop-signal tasks.",
"abstracts": [
{
"abstractType": "Regular",
"content": "State-of-the-art computer games and psychological tests for symptom monitoring and therapy in Attention Deficit Hyperactivity Disorder (ADHD) are explored and reviewed. Three foci for research studies are identified: task (human performance) focus, educational focus, medical/clinical focus. It is found that game designs in the literature include a variety of tests of cognition mostly dependent on attention and executive functions (inhibitory motor control, working memory, interference suppression) which involve reactions to stimuli on computer (or mobile phone) screens. In addition, based on the measurement of neural pathways that can be accessed by Brain Computer Interfaces, there are several applications of games that employ biofeedback and demand the user to control aspects of their brain activity to play them, with the aim of improving function. A number of games have been used in clinical studies for self-monitoring and therapy, some of these controlled with comparators such as treatment as usual or cognitive therapies, or with the individual as their own control, where efficacy is evaluated by measuring behavioural and functional outcomes on measurement instruments such as ADHD or behavioural trait questionnaires or other cognitive tests. Other applications of games include education and raising awareness of mental health conditions to reduce stigma. The paper then presents and proposes designs of new games that are based on psychological tests or tasks that aim to monitor or improve attention, inhibitory and/or motor activity including Continuous Performance Tests, Go/No-go and Stop-signal tasks.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "State-of-the-art computer games and psychological tests for symptom monitoring and therapy in Attention Deficit Hyperactivity Disorder (ADHD) are explored and reviewed. Three foci for research studies are identified: task (human performance) focus, educational focus, medical/clinical focus. It is found that game designs in the literature include a variety of tests of cognition mostly dependent on attention and executive functions (inhibitory motor control, working memory, interference suppression) which involve reactions to stimuli on computer (or mobile phone) screens. In addition, based on the measurement of neural pathways that can be accessed by Brain Computer Interfaces, there are several applications of games that employ biofeedback and demand the user to control aspects of their brain activity to play them, with the aim of improving function. A number of games have been used in clinical studies for self-monitoring and therapy, some of these controlled with comparators such as treatment as usual or cognitive therapies, or with the individual as their own control, where efficacy is evaluated by measuring behavioural and functional outcomes on measurement instruments such as ADHD or behavioural trait questionnaires or other cognitive tests. Other applications of games include education and raising awareness of mental health conditions to reduce stigma. The paper then presents and proposes designs of new games that are based on psychological tests or tasks that aim to monitor or improve attention, inhibitory and/or motor activity including Continuous Performance Tests, Go/No-go and Stop-signal tasks.",
"fno": "7874a034",
"keywords": [
"Games",
"Monitoring",
"Medical Treatment",
"Electroencephalography",
"Computers",
"Neurofeedback",
"Psychology",
"Pervasive And Ubiquitous Computing",
"Healthcare",
"Gamification",
"E Health",
"M Health"
],
"authors": [
{
"affiliation": null,
"fullName": "Michael P. Craven",
"givenName": "Michael P.",
"surname": "Craven",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Madeleine J. Groom",
"givenName": "Madeleine J.",
"surname": "Groom",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "itag",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-10-01T00:00:00",
"pubType": "proceedings",
"pages": "34-40",
"year": "2015",
"issn": null,
"isbn": "978-1-4673-7874-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "7874a028",
"articleId": "12OmNyuy9NF",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "7874a041",
"articleId": "12OmNvmowTP",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cerma/2007/2974/0/29740135",
"title": "Auxiliary Neurofeedback System for Diagnostic of Attention Deficit Hyperactivity Disorder",
"doi": null,
"abstractUrl": "/proceedings-article/cerma/2007/29740135/12OmNBt3qld",
"parentPublication": {
"id": "proceedings/cerma/2007/2974/0",
"title": "2007 2nd Electronics, Robotics and Automotive Mechanics Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2014/5669/0/06999273",
"title": "Functional network disruption in attention deficit hyperactivity disorder",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2014/06999273/12OmNvRU0nA",
"parentPublication": {
"id": "proceedings/bibm/2014/5669/0",
"title": "2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itme/2015/8302/0/8302a164",
"title": "Research Hotspots Analysis of Attention-Deficit/Hyperactivity Disorder by PubMed",
"doi": null,
"abstractUrl": "/proceedings-article/itme/2015/8302a164/12OmNwO5M0W",
"parentPublication": {
"id": "proceedings/itme/2015/8302/0",
"title": "2015 7th International Conference on Information Technology in Medicine and Education (ITME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2014/4038/0/4038a561",
"title": "Adaptive Training of Children with Attention Deficit Hyperactivity Disorder through Multi-touch Surfaces",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2014/4038a561/12OmNwpXRZa",
"parentPublication": {
"id": "proceedings/icalt/2014/4038/0",
"title": "2014 IEEE 14th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgames/2012/1120/0/S4003",
"title": "Diagnosis of the attention deficit disorder using ‘D2’ and ‘Symbols Search’ tests through a game-based tool",
"doi": null,
"abstractUrl": "/proceedings-article/cgames/2012/S4003/12OmNzT7OpC",
"parentPublication": {
"id": "proceedings/cgames/2012/1120/0",
"title": "2012 17th International Conference on Computer Games (CGAMES)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2022/8402/0/840200a088",
"title": "Designing VR training systems for children with attention deficit hyperactivity disorder (ADHD)",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2022/840200a088/1CJd13g3dza",
"parentPublication": {
"id": "proceedings/vrw/2022/8402/0",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2023/02/09763310",
"title": "Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning",
"doi": null,
"abstractUrl": "/journal/tb/2023/02/09763310/1CT4OTRW73a",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2022/6845/0/684500a128",
"title": "Dynamic Network Connectivity Analysis for Understanding Attention Deficit Hyperactivity Disorder",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2022/684500a128/1GvdFacUfWU",
"parentPublication": {
"id": "proceedings/ichi/2022/6845/0",
"title": "2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sbgames/2019/4637/0/463700a091",
"title": "Development of Serious Games for Neurorehabilitation of Children with Attention-Deficit/Hyperactivity Disorder through Neurofeedback",
"doi": null,
"abstractUrl": "/proceedings-article/sbgames/2019/463700a091/1fHHqT5XWHm",
"parentPublication": {
"id": "proceedings/sbgames/2019/4637/0",
"title": "2019 18th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar-adjunct/2020/7675/0/767500a123",
"title": "A Brain-Computer Interface and Augmented Reality Neurofeedback to Treat ADHD: A Virtual Telekinesis Approach",
"doi": null,
"abstractUrl": "/proceedings-article/ismar-adjunct/2020/767500a123/1pBMhsL4rgA",
"parentPublication": {
"id": "proceedings/ismar-adjunct/2020/7675/0",
"title": "2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNs5rkLL",
"title": "2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)",
"acronym": "chase",
"groupId": "1814404",
"volume": "0",
"displayVolume": "0",
"year": "2016",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNwfKj8S",
"doi": "10.1109/CHASE.2016.42",
"title": "Developing Medical Condition Management Applications Using Manage My Condition",
"normalizedTitle": "Developing Medical Condition Management Applications Using Manage My Condition",
"abstract": "Given the increasing availability and accessibility of mobile devices, there is enormous potential to transform how healthcare is administered through the creation of highly customized smartphone-based applications for effective medical condition management. Such platforms can offer improvements for both patients and healthcare systems. However, a critical barrier to achieving these tantalizing benefits in healthcare management is the current paradigm of medical software design. Development and deployment of enterprise-wide applications is generally slow and expensive. Furthermore, each application is developed independently, even if several functionalities overlap between different applications. In this demonstration, we present our experience in the development of three mobile applications for medical condition management, namely ManageMyAsthma, ManageMyMedications and ManageMyPatients, which led to the creation of ManageMyCondition, a standard framework for the development of medical condition management applications.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Given the increasing availability and accessibility of mobile devices, there is enormous potential to transform how healthcare is administered through the creation of highly customized smartphone-based applications for effective medical condition management. Such platforms can offer improvements for both patients and healthcare systems. However, a critical barrier to achieving these tantalizing benefits in healthcare management is the current paradigm of medical software design. Development and deployment of enterprise-wide applications is generally slow and expensive. Furthermore, each application is developed independently, even if several functionalities overlap between different applications. In this demonstration, we present our experience in the development of three mobile applications for medical condition management, namely ManageMyAsthma, ManageMyMedications and ManageMyPatients, which led to the creation of ManageMyCondition, a standard framework for the development of medical condition management applications.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Given the increasing availability and accessibility of mobile devices, there is enormous potential to transform how healthcare is administered through the creation of highly customized smartphone-based applications for effective medical condition management. Such platforms can offer improvements for both patients and healthcare systems. However, a critical barrier to achieving these tantalizing benefits in healthcare management is the current paradigm of medical software design. Development and deployment of enterprise-wide applications is generally slow and expensive. Furthermore, each application is developed independently, even if several functionalities overlap between different applications. In this demonstration, we present our experience in the development of three mobile applications for medical condition management, namely ManageMyAsthma, ManageMyMedications and ManageMyPatients, which led to the creation of ManageMyCondition, a standard framework for the development of medical condition management applications.",
"fno": "0943a322",
"keywords": [
"Medical Conditions",
"Mobile Applications",
"Pediatrics",
"Computers",
"Real Time Systems",
"Conferences",
"Cloud",
"Mobile Applications",
"Mobile Development",
"Android"
],
"authors": [
{
"affiliation": null,
"fullName": "Cristiano Tapparello",
"givenName": "Cristiano",
"surname": "Tapparello",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Wendi Heinzelman",
"givenName": "Wendi",
"surname": "Heinzelman",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Kelly Conn",
"givenName": "Kelly",
"surname": "Conn",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Craig A. Mullen",
"givenName": "Craig A.",
"surname": "Mullen",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "chase",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2016-06-01T00:00:00",
"pubType": "proceedings",
"pages": "322-323",
"year": "2016",
"issn": null,
"isbn": "978-1-5090-0943-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "0943a312",
"articleId": "12OmNAoUTjm",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "0943a324",
"articleId": "12OmNCgJe7K",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ares/2008/3102/0/3102a929",
"title": "Clustering Oriented Architectures in Medical Sensor Environments",
"doi": null,
"abstractUrl": "/proceedings-article/ares/2008/3102a929/12OmNAKuoTm",
"parentPublication": {
"id": "proceedings/ares/2008/3102/0",
"title": "2008 Third International Conference on Availability, Reliability and Security",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sitis/2007/3122/0/3122b053",
"title": "Privacy Management for Medical Service Application Using Mobile Phone Collaborated with RFID Reader",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2007/3122b053/12OmNBh8gYF",
"parentPublication": {
"id": "proceedings/sitis/2007/3122/0",
"title": "2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/issrew/2014/7377/0/7377a220",
"title": "A Security Argument Pattern for Medical Device Assurance Cases",
"doi": null,
"abstractUrl": "/proceedings-article/issrew/2014/7377a220/12OmNBpmDGy",
"parentPublication": {
"id": "proceedings/issrew/2014/7377/0",
"title": "2014 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/chase/2016/0943/0/0943a048",
"title": "Manage My Condition: A Standard Framework for the Development of Cloud-Based Medical Condition Management Applications",
"doi": null,
"abstractUrl": "/proceedings-article/chase/2016/0943a048/12OmNCbU3aw",
"parentPublication": {
"id": "proceedings/chase/2016/0943/0",
"title": "2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cit-iucc-dasc-picom/2015/0154/0/07363123",
"title": "Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease",
"doi": null,
"abstractUrl": "/proceedings-article/cit-iucc-dasc-picom/2015/07363123/12OmNCd2rVm",
"parentPublication": {
"id": "proceedings/cit-iucc-dasc-picom/2015/0154/0",
"title": "2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2014/6227/0/07042529",
"title": "The care and condition monitor: Designing a tablet based tool for visualizing informal qualitative healthcare data",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2014/07042529/12OmNCxtyM8",
"parentPublication": {
"id": "proceedings/vast/2014/6227/0",
"title": "2014 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2016/5670/0/5670e324",
"title": "Does Incomplete Unlearning Impact Medical Errors?",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2016/5670e324/12OmNyKJiav",
"parentPublication": {
"id": "proceedings/hicss/2016/5670/0",
"title": "2016 49th Hawaii International Conference on System Sciences (HICSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigcom/2019/4024/0/402400a303",
"title": "Healthcare Expenditure Prediction for Crowd with Co-existing Medical Conditions",
"doi": null,
"abstractUrl": "/proceedings-article/bigcom/2019/402400a303/1f8MSKwJ9Ly",
"parentPublication": {
"id": "proceedings/bigcom/2019/4024/0",
"title": "2019 5th International Conference on Big Data Computing and Communications (BIGCOM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222264",
"title": "Humane Visual AI: Telling the Stories Behind a Medical Condition",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222264/1nTru36Z7Z6",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icphds/2021/2594/0/259400a218",
"title": "Analysis on the Influencing Factors of Medical Seeking Behavior of the Elderly Migrantfollowing Child in China",
"doi": null,
"abstractUrl": "/proceedings-article/icphds/2021/259400a218/1ymIRiYQ0Zq",
"parentPublication": {
"id": "proceedings/icphds/2021/2594/0",
"title": "2021 International Conference on Public Health and Data Science (ICPHDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNBZYToO",
"title": "Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence",
"acronym": "tai",
"groupId": "1000763",
"volume": "0",
"displayVolume": "0",
"year": "1990",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNx7ouP5",
"doi": "10.1109/TAI.1990.130397",
"title": "The state-of-art AI research in Japan",
"normalizedTitle": "The state-of-art AI research in Japan",
"abstract": "Summary form only given. The state-of-the-art of artificial intelligence (AI) in Japan is reviewed, and attention given to the current results of the fifth-generation project. The technical aspects of AI research are examined, and the computational power of the fifth-generation computer system compared to that of the current workstation in the use of various AI frameworks. The Japanese rationale for adopting the new technology into their own industrial domains and businesses is discussed. The psychological aspects of AI applications are considered, with particular attention given to the psychological barrier that nontechnical people have in the use of AI.<>",
"abstracts": [
{
"abstractType": "Regular",
"content": "Summary form only given. The state-of-the-art of artificial intelligence (AI) in Japan is reviewed, and attention given to the current results of the fifth-generation project. The technical aspects of AI research are examined, and the computational power of the fifth-generation computer system compared to that of the current workstation in the use of various AI frameworks. The Japanese rationale for adopting the new technology into their own industrial domains and businesses is discussed. The psychological aspects of AI applications are considered, with particular attention given to the psychological barrier that nontechnical people have in the use of AI.<>",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Summary form only given. The state-of-the-art of artificial intelligence (AI) in Japan is reviewed, and attention given to the current results of the fifth-generation project. The technical aspects of AI research are examined, and the computational power of the fifth-generation computer system compared to that of the current workstation in the use of various AI frameworks. The Japanese rationale for adopting the new technology into their own industrial domains and businesses is discussed. The psychological aspects of AI applications are considered, with particular attention given to the psychological barrier that nontechnical people have in the use of AI.",
"fno": "00130397",
"keywords": [
"Artificial Intelligence",
"Fifth Generation Systems",
"Research Initiatives",
"AI Research",
"Japan",
"Artificial Intelligence",
"Fifth Generation Project",
"Fifth Generation Computer System",
"Industrial Domains",
"Businesses",
"AI Applications",
"Psychological Barrier",
"Nontechnical People",
"Artificial Intelligence",
"Humans",
"Psychology",
"Computer Industry",
"Intelligent Systems",
"Laboratories",
"Concrete",
"Power Generation",
"Workstations",
"Statistics"
],
"authors": [
{
"affiliation": "Dept. of Ind. Adm., Sci. Univ. of Tokyo, Chiba, Japan",
"fullName": "F. Mizoguchi",
"givenName": "F.",
"surname": "Mizoguchi",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "tai",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "1990-01-01T00:00:00",
"pubType": "proceedings",
"pages": "552",
"year": "1990",
"issn": null,
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "00130395",
"articleId": "12OmNy50gbV",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "00130399",
"articleId": "12OmNCmpcRa",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/sbgames/2015/8843/0/8843a173",
"title": "Dynamic Difficulty Adjustment through an Adaptive AI",
"doi": null,
"abstractUrl": "/proceedings-article/sbgames/2015/8843a173/12OmNy7yEg4",
"parentPublication": {
"id": "proceedings/sbgames/2015/8843/0",
"title": "2015 14th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pccc/1991/2133/0/00113904",
"title": "The effect of AI on other fields of research",
"doi": null,
"abstractUrl": "/proceedings-article/pccc/1991/00113904/12OmNyRPgHB",
"parentPublication": {
"id": "proceedings/pccc/1991/2133/0",
"title": "1991Tenth Annual International Phoenix Conference on Computers and Communications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smap/2007/3040/0/30400241",
"title": "In-Flight Entertainment System: State of the Art and Research Directions",
"doi": null,
"abstractUrl": "/proceedings-article/smap/2007/30400241/12OmNyugyJ6",
"parentPublication": {
"id": "proceedings/smap/2007/3040/0",
"title": "Semantic Media Adaptation and Personalization, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/chase/2018/5725/0/572501a077",
"title": "On Gender, Ethnicity, and Culture in Empirical Software Engineering Research",
"doi": null,
"abstractUrl": "/proceedings-article/chase/2018/572501a077/13bd1f3HvEU",
"parentPublication": {
"id": "proceedings/chase/2018/5725/0",
"title": "2018 IEEE/ACM 11th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2004/02/x2066",
"title": "The JSAI and AI Activity in Japan",
"doi": null,
"abstractUrl": "/magazine/ex/2004/02/x2066/13rRUwInvF4",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/1994/01/x1002",
"title": "Beyond the Fifth Generation: Parallel AI Research in Japan",
"doi": null,
"abstractUrl": "/magazine/ex/1994/01/x1002/13rRUwbaqQt",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2022/4609/0/460900a993",
"title": "Persona-Based Conversational AI: State of the Art and Challenges",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2022/460900a993/1KBr4jldVW8",
"parentPublication": {
"id": "proceedings/icdmw/2022/4609/0",
"title": "2022 IEEE International Conference on Data Mining Workshops (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dependsys/2020/7651/0/765100a073",
"title": "Cognitive Privacy: AI-enabled Privacy using EEG Signals in the Internet of Things",
"doi": null,
"abstractUrl": "/proceedings-article/dependsys/2020/765100a073/1rsiWKtK2Va",
"parentPublication": {
"id": "proceedings/dependsys/2020/7651/0",
"title": "2020 IEEE 6th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application (DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icekim/2021/6834/0/683400a341",
"title": "AI Integration Study into Family Education Guided by Symbolic Interaction Theory: Exemplified by Tmall Genie and Duer in Families of Children Aged 6 to 12",
"doi": null,
"abstractUrl": "/proceedings-article/icekim/2021/683400a341/1vmLvW5plle",
"parentPublication": {
"id": "proceedings/icekim/2021/6834/0",
"title": "2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2020/6406/0/640600a234",
"title": "An Empirical Study on Factors influencing Users’ Psychological Reactance to Artificial Intelligence Applications",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2020/640600a234/1x3kvjw2ZvW",
"parentPublication": {
"id": "proceedings/icisce/2020/6406/0",
"title": "2020 7th International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAGepWO",
"title": "AGILE Conference",
"acronym": "agile",
"groupId": "1000026",
"volume": "0",
"displayVolume": "0",
"year": "2008",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxisQND",
"doi": "10.1109/Agile.2008.53",
"title": "Experience Report: The Social Nature of Agile Teams",
"normalizedTitle": "Experience Report: The Social Nature of Agile Teams",
"abstract": "Agile software development is often, but not always, associated with the term ‘project chemistry,’ or the positive team climate that can contribute to high performance. A qualitative study involving 22 participants in agile teams sought to explore this connection, and answer the question: what aspects of agile software development are related to team cohesion? The following is a discussion of participant experiences as seen through a socio-psychological lens. It draws from social-identity theory and socio-psychological literature to explain, not only how, but why agile methodologies support teamwork and collective progress. Agile practices are shown to produce a socio-psychological environment of high-performance, with many of the practical benefits of agile practices being supported and mediated by social and personal concerns.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Agile software development is often, but not always, associated with the term ‘project chemistry,’ or the positive team climate that can contribute to high performance. A qualitative study involving 22 participants in agile teams sought to explore this connection, and answer the question: what aspects of agile software development are related to team cohesion? The following is a discussion of participant experiences as seen through a socio-psychological lens. It draws from social-identity theory and socio-psychological literature to explain, not only how, but why agile methodologies support teamwork and collective progress. Agile practices are shown to produce a socio-psychological environment of high-performance, with many of the practical benefits of agile practices being supported and mediated by social and personal concerns.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Agile software development is often, but not always, associated with the term ‘project chemistry,’ or the positive team climate that can contribute to high performance. A qualitative study involving 22 participants in agile teams sought to explore this connection, and answer the question: what aspects of agile software development are related to team cohesion? The following is a discussion of participant experiences as seen through a socio-psychological lens. It draws from social-identity theory and socio-psychological literature to explain, not only how, but why agile methodologies support teamwork and collective progress. Agile practices are shown to produce a socio-psychological environment of high-performance, with many of the practical benefits of agile practices being supported and mediated by social and personal concerns.",
"fno": "3321a429",
"keywords": [
"Social Identity Theory",
"Teamwork",
"Psychology",
"Agile"
],
"authors": [
{
"affiliation": null,
"fullName": "Elizabeth Whitworth",
"givenName": "Elizabeth",
"surname": "Whitworth",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "agile",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2008-08-01T00:00:00",
"pubType": "proceedings",
"pages": "429-435",
"year": "2008",
"issn": null,
"isbn": "978-0-7695-3321-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3321a423",
"articleId": "12OmNAKuoTp",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3321a436",
"articleId": "12OmNqJq4z8",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/sbes/2015/9272/0/9272a191",
"title": "A Bayesian Network Model to Assess Agile Teams' Teamwork Quality",
"doi": null,
"abstractUrl": "/proceedings-article/sbes/2015/9272a191/12OmNrAMEMU",
"parentPublication": {
"id": "proceedings/sbes/2015/9272/0",
"title": "2015 29th Brazilian Symposium on Software Engineering (SBES)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/agile/2007/2872/0/28720026",
"title": "The Social Nature of Agile Teams",
"doi": null,
"abstractUrl": "/proceedings-article/agile/2007/28720026/12OmNvlPkzE",
"parentPublication": {
"id": "proceedings/agile/2007/2872/0",
"title": "Agile 2007",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/agile/2008/3321/0/3321a229",
"title": "Agile Teams Require Agile QA: How to Make it Work, An Experience Report",
"doi": null,
"abstractUrl": "/proceedings-article/agile/2008/3321a229/12OmNwqx45l",
"parentPublication": {
"id": "proceedings/agile/2008/3321/0",
"title": "AGILE Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/latw/2011/1489/0/05985897",
"title": "Testing in an agile product development environment: An industry experience report",
"doi": null,
"abstractUrl": "/proceedings-article/latw/2011/05985897/12OmNx6PiyH",
"parentPublication": {
"id": "proceedings/latw/2011/1489/0",
"title": "2011 12th Latin American Test Workshop (LATW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/agile/2008/3321/0/3321a121",
"title": "Scaling Agile: Finding your Agile Tribe",
"doi": null,
"abstractUrl": "/proceedings-article/agile/2008/3321a121/12OmNznkJTO",
"parentPublication": {
"id": "proceedings/agile/2008/3321/0",
"title": "AGILE Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ts/2013/03/tts2013030422",
"title": "Self-Organizing Roles on Agile Software Development Teams",
"doi": null,
"abstractUrl": "/journal/ts/2013/03/tts2013030422/13rRUwkfB17",
"parentPublication": {
"id": "trans/ts",
"title": "IEEE Transactions on Software Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/so/2015/06/mso2015060020",
"title": "Agile Compass: A Tool for Identifying Maturity in Agile Software-Development Teams",
"doi": null,
"abstractUrl": "/magazine/so/2015/06/mso2015060020/13rRUxZRbmi",
"parentPublication": {
"id": "mags/so",
"title": "IEEE Software",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/so/2012/03/mso2012030071",
"title": "Agile Practices: The Impact on Trust in Software Project Teams",
"doi": null,
"abstractUrl": "/magazine/so/2012/03/mso2012030071/13rRUy0HYPn",
"parentPublication": {
"id": "mags/so",
"title": "IEEE Software",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/so/2020/03/08911247",
"title": "Group-Development Psychology Training: The Perceived Effects on Agile Software-Development Teams",
"doi": null,
"abstractUrl": "/magazine/so/2020/03/08911247/1j30Y6oKvSw",
"parentPublication": {
"id": "mags/so",
"title": "IEEE Software",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asew/2020/8128/0/812800a053",
"title": "Towards Better Understanding of Agile Teams through Behavior Change Models",
"doi": null,
"abstractUrl": "/proceedings-article/asew/2020/812800a053/1qyxNbZKwbm",
"parentPublication": {
"id": "proceedings/asew/2020/8128/0",
"title": "2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKiqU",
"title": "2018 IEEE Symposium on Computers and Communications (ISCC)",
"acronym": "iscc",
"groupId": "1000156",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45WaTkgD",
"doi": "10.1109/ISCC.2018.8538637",
"title": "Understanding Psycholinguistic Behavior of Predominant Drunk Texters in Social Media",
"normalizedTitle": "Understanding Psycholinguistic Behavior of Predominant Drunk Texters in Social Media",
"abstract": "In the last decade, social media has evolved as one of the leading platform to create, share, or exchange information; it is commonly used as a way for individuals to maintain social connections. In this online digital world, people use to post texts or pictures to express their views socially and create user-user engagement through discussions and conversations. Thus, social media has established itself to bear signals relating to human behavior. One can easily design user characteristic network by scraping through someone’s social media profiles. In this paper, we investigate the potential of social media in characterizing and understanding predominant drunk texters from the perspective of their social, psychological and linguistic behavior as evident from the content generated by them. Our research aims to analyze the behavior of drunk texters on social media and to contrast this with non-drunk texters. We use Twitter social media to obtain the set of drunk texters and non-drunk texters and show that we can classify users into these two respective sets using various psycholinguistic features with an overall average accuracy of 96.78% with very high precision and recall. Note that such an automatic classification can have far-reaching impact – (i) on health research related to addiction prevention and control, and (ii) in eliminating abusive and vulgar contents from Twitter, borne by the tweets of drunk texters.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In the last decade, social media has evolved as one of the leading platform to create, share, or exchange information; it is commonly used as a way for individuals to maintain social connections. In this online digital world, people use to post texts or pictures to express their views socially and create user-user engagement through discussions and conversations. Thus, social media has established itself to bear signals relating to human behavior. One can easily design user characteristic network by scraping through someone’s social media profiles. In this paper, we investigate the potential of social media in characterizing and understanding predominant drunk texters from the perspective of their social, psychological and linguistic behavior as evident from the content generated by them. Our research aims to analyze the behavior of drunk texters on social media and to contrast this with non-drunk texters. We use Twitter social media to obtain the set of drunk texters and non-drunk texters and show that we can classify users into these two respective sets using various psycholinguistic features with an overall average accuracy of 96.78% with very high precision and recall. Note that such an automatic classification can have far-reaching impact – (i) on health research related to addiction prevention and control, and (ii) in eliminating abusive and vulgar contents from Twitter, borne by the tweets of drunk texters.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In the last decade, social media has evolved as one of the leading platform to create, share, or exchange information; it is commonly used as a way for individuals to maintain social connections. In this online digital world, people use to post texts or pictures to express their views socially and create user-user engagement through discussions and conversations. Thus, social media has established itself to bear signals relating to human behavior. One can easily design user characteristic network by scraping through someone’s social media profiles. In this paper, we investigate the potential of social media in characterizing and understanding predominant drunk texters from the perspective of their social, psychological and linguistic behavior as evident from the content generated by them. Our research aims to analyze the behavior of drunk texters on social media and to contrast this with non-drunk texters. We use Twitter social media to obtain the set of drunk texters and non-drunk texters and show that we can classify users into these two respective sets using various psycholinguistic features with an overall average accuracy of 96.78% with very high precision and recall. Note that such an automatic classification can have far-reaching impact – (i) on health research related to addiction prevention and control, and (ii) in eliminating abusive and vulgar contents from Twitter, borne by the tweets of drunk texters.",
"fno": "08538637",
"keywords": [
"Stress",
"Psychology",
"Twitter",
"Linguistics",
"Drugs",
"Alcoholic Beverages"
],
"authors": [
{
"affiliation": "Northwestern University",
"fullName": "Suman Kalyan Maity",
"givenName": "Suman Kalyan",
"surname": "Maity",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Microsoft, India",
"fullName": "Ankan Mullick",
"givenName": "Ankan",
"surname": "Mullick",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "IIT Kharagpur, India",
"fullName": "Surjya Ghosh",
"givenName": "Surjya",
"surname": "Ghosh",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Samsung, India",
"fullName": "Anil Kumar",
"givenName": "Anil",
"surname": "Kumar",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Adobe Research, India",
"fullName": "Sunny Dhamnani",
"givenName": "Sunny",
"surname": "Dhamnani",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Salesforce, USA",
"fullName": "Sudhansu Bahety",
"givenName": "Sudhansu",
"surname": "Bahety",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "IIT Kharagpur, India",
"fullName": "Animesh Mukherjee",
"givenName": "Animesh",
"surname": "Mukherjee",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iscc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-06-01T00:00:00",
"pubType": "proceedings",
"pages": "1096-577",
"year": "2018",
"issn": "1530-1346",
"isbn": "978-1-5386-6950-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08538576",
"articleId": "17D45W2WyAe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08538356",
"articleId": "17D45WODar6",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/asonam/2013/2240/0/06785710",
"title": "Using explicit linguistic expressions of preference in social media to predict voting behavior",
"doi": null,
"abstractUrl": "/proceedings-article/asonam/2013/06785710/12OmNBr4eqw",
"parentPublication": {
"id": "proceedings/asonam/2013/2240/0",
"title": "2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/2017/2324/0/2324a535",
"title": "Are Recent Terrorism Trends Reflected in Social Media?",
"doi": null,
"abstractUrl": "/proceedings-article/mass/2017/2324a535/12OmNqGA5jD",
"parentPublication": {
"id": "proceedings/mass/2017/2324/0",
"title": "2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/culture-computing/2013/5047/0/5047a159",
"title": "Changing Behavior Patterns of New Media Users: A Case Study in Singapore",
"doi": null,
"abstractUrl": "/proceedings-article/culture-computing/2013/5047a159/12OmNqzcvP3",
"parentPublication": {
"id": "proceedings/culture-computing/2013/5047/0",
"title": "2013 International Conference on Culture and Computing (Culture Computing)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2015/9504/0/9504a961",
"title": "Finding Time-Critical Responses for Information Seeking in Social Media",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2015/9504a961/12OmNwoPtrI",
"parentPublication": {
"id": "proceedings/icdm/2015/9504/0",
"title": "2015 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2016/4470/0/4470a526",
"title": "Mining Social Media Content for Crime Prediction",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2016/4470a526/12OmNxd4txo",
"parentPublication": {
"id": "proceedings/wi/2016/4470/0",
"title": "2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sitis/2015/9721/0/9721a428",
"title": "Following People's Behavior Across Social Media",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2015/9721a428/12OmNy3AgES",
"parentPublication": {
"id": "proceedings/sitis/2015/9721/0",
"title": "2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/lt/2014/03/06697807",
"title": "Mining Social Media Data for Understanding Students’ Learning Experiences",
"doi": null,
"abstractUrl": "/journal/lt/2014/03/06697807/13rRUwgyOcH",
"parentPublication": {
"id": "trans/lt",
"title": "IEEE Transactions on Learning Technologies",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2017/10/07919259",
"title": "Facilitating Time Critical Information Seeking in Social Media",
"doi": null,
"abstractUrl": "/journal/tk/2017/10/07919259/13rRUxBJhng",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2018/7325/0/732500a190",
"title": "Improving the Classification of Drunk Texting in Tweets Using Semantic Enrichment",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2018/732500a190/17D45WK5As0",
"parentPublication": {
"id": "proceedings/wi/2018/7325/0",
"title": "2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/avss/2018/9294/0/08639353",
"title": "Multimodal Drunk Density Estimation for Safety Assessment",
"doi": null,
"abstractUrl": "/proceedings-article/avss/2018/08639353/17PYEjuKsar",
"parentPublication": {
"id": "proceedings/avss/2018/9294/0",
"title": "2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1A8gmCnipkA",
"title": "2021 IEEE International Conference on Big Data (Big Data)",
"acronym": "big-data",
"groupId": "1802964",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1A8h8TuSfF6",
"doi": "10.1109/BigData52589.2021.9671532",
"title": "Drug Abuse Detection in Twitter-sphere: Graph-Based Approach",
"normalizedTitle": "Drug Abuse Detection in Twitter-sphere: Graph-Based Approach",
"abstract": "The rate of non-medical use of opioid drugs has increased markedly since the early 2000s. Due to this non-medical use, abusers suffer from different adverse effects that include physical and psychological problems. Many studies have been done to detect Drug Abuse (DA) events from social media data using machine learning and deep learning concepts. Moreover, Graph Neural Networks (GNNs) have recently become popular in text classification tasks due to their high accuracy and capability to handle complex structures. In this work, we collect drugs-related Twitter data (tweets) and build text graphs (corpus-level and document-level) to capture word-word, document-word, and document-document relations. Then we apply different GNN models on those text graphs and thus turn the text classification task into a node classification (for corpus-level graph) and graph classification (for document-level graph) task to detect DA events. Finally, we compare our graph-based DA detection models with different types of baselines models, including rule-based, traditional machine learning, and deep learning models. Our result shows graph-based models outperform the traditional machine learning and deep learning-based models.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The rate of non-medical use of opioid drugs has increased markedly since the early 2000s. Due to this non-medical use, abusers suffer from different adverse effects that include physical and psychological problems. Many studies have been done to detect Drug Abuse (DA) events from social media data using machine learning and deep learning concepts. Moreover, Graph Neural Networks (GNNs) have recently become popular in text classification tasks due to their high accuracy and capability to handle complex structures. In this work, we collect drugs-related Twitter data (tweets) and build text graphs (corpus-level and document-level) to capture word-word, document-word, and document-document relations. Then we apply different GNN models on those text graphs and thus turn the text classification task into a node classification (for corpus-level graph) and graph classification (for document-level graph) task to detect DA events. Finally, we compare our graph-based DA detection models with different types of baselines models, including rule-based, traditional machine learning, and deep learning models. Our result shows graph-based models outperform the traditional machine learning and deep learning-based models.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The rate of non-medical use of opioid drugs has increased markedly since the early 2000s. Due to this non-medical use, abusers suffer from different adverse effects that include physical and psychological problems. Many studies have been done to detect Drug Abuse (DA) events from social media data using machine learning and deep learning concepts. Moreover, Graph Neural Networks (GNNs) have recently become popular in text classification tasks due to their high accuracy and capability to handle complex structures. In this work, we collect drugs-related Twitter data (tweets) and build text graphs (corpus-level and document-level) to capture word-word, document-word, and document-document relations. Then we apply different GNN models on those text graphs and thus turn the text classification task into a node classification (for corpus-level graph) and graph classification (for document-level graph) task to detect DA events. Finally, we compare our graph-based DA detection models with different types of baselines models, including rule-based, traditional machine learning, and deep learning models. Our result shows graph-based models outperform the traditional machine learning and deep learning-based models.",
"fno": "09671532",
"keywords": [
"Graph Theory",
"Learning Artificial Intelligence",
"Neural Nets",
"Pattern Classification",
"Psychology",
"Social Networking Online",
"Text Analysis",
"Drug Abuse Detection",
"Twitter Sphere",
"Graph Based Approach",
"Opioid Drugs",
"Abusers",
"Different Adverse Effects",
"Drug Abuse Events",
"Social Media Data",
"Deep Learning Concepts",
"Graph Neural Networks",
"Text Classification Task",
"Handle Complex Structures",
"Drugs Related Twitter Data",
"Text Graphs",
"Word Word",
"Document Word",
"Document Document Relations",
"Different GNN Models",
"Node Classification",
"For Corpus Level Graph",
"Document Level Graph",
"Graph Based DA Detection Models",
"Deep Learning Models",
"Graph Based Models",
"Deep Learning Based Models",
"Drugs",
"Deep Learning",
"Social Networking Online",
"Text Categorization",
"Blogs",
"Semantics",
"Psychology",
"Opioid",
"Drug Abuse",
"Corpus Level Text Graph",
"Document Level Text Graph",
"Graph Neural Network"
],
"authors": [
{
"affiliation": "Oklahoma State University,Department of Computer Science,Stillwater,OK,USA,74078",
"fullName": "Khaled Mohammed Saifuddin",
"givenName": "Khaled Mohammed",
"surname": "Saifuddin",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Oklahoma State University,Department of Computer Science,Stillwater,OK,USA,74078",
"fullName": "Muhammad Ifte Khairul Islam",
"givenName": "Muhammad Ifte Khairul",
"surname": "Islam",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Oklahoma State University,Department of Computer Science,Stillwater,OK,USA,74078",
"fullName": "Esra Akbas",
"givenName": "Esra",
"surname": "Akbas",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "big-data",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-12-01T00:00:00",
"pubType": "proceedings",
"pages": "4136-4145",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3902-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09671931",
"articleId": "1A8j3zkDfsk",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09671631",
"articleId": "1A8jo3j7ACA",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icece/2010/4031/0/4031b092",
"title": "Graph-Based Chinese Text Categorization",
"doi": null,
"abstractUrl": "/proceedings-article/icece/2010/4031b092/12OmNwwd304",
"parentPublication": {
"id": "proceedings/icece/2010/4031/0",
"title": "Electrical and Control Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asonam/2015/3854/0/07403735",
"title": "Graph-based term weighting for text categorization",
"doi": null,
"abstractUrl": "/proceedings-article/asonam/2015/07403735/12OmNzZmZmr",
"parentPublication": {
"id": "proceedings/asonam/2015/3854/0",
"title": "2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2023/02/09893349",
"title": "Graph Transformer for Drug Response Prediction",
"doi": null,
"abstractUrl": "/journal/tb/2023/02/09893349/1GGLbz5UMfK",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956556",
"title": "Predicting Drug-Drug Interactions with Graph Attention Network",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956556/1IHoB8aVDCo",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2022/9062/0/09956075",
"title": "InducT-GCN: Inductive Graph Convolutional Networks for Text Classification",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2022/09956075/1IHq5LYns8U",
"parentPublication": {
"id": "proceedings/icpr/2022/9062/0",
"title": "2022 26th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2022/6819/0/09995058",
"title": "Drug-Drug Interaction Extraction Using Drug Knowledge Graph",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2022/09995058/1JC2ku7neAo",
"parentPublication": {
"id": "proceedings/bibm/2022/6819/0",
"title": "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2022/8045/0/10020645",
"title": "Graggle: A Graph-based Approach to Document Clustering",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2022/10020645/1KfSQLU3WU0",
"parentPublication": {
"id": "proceedings/big-data/2022/8045/0",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2020/6215/0/09313352",
"title": "A Graph-boosted Framework for Adverse Drug Event Detection on Twitter",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2020/09313352/1qmfTbNKGZi",
"parentPublication": {
"id": "proceedings/bibm/2020/6215/0",
"title": "2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378164",
"title": "Graph Neural Networks for COVID-19 Drug Discovery",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378164/1s64m8AxmRq",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asonam/2020/1056/0/09381473",
"title": "Graph-Based Methods to Detect Hate Speech Diffusion on Twitter",
"doi": null,
"abstractUrl": "/proceedings-article/asonam/2020/09381473/1semwUSbS4E",
"parentPublication": {
"id": "proceedings/asonam/2020/1056/0",
"title": "2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1LSOUKT8fyo",
"title": "2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS)",
"acronym": "mlcss",
"groupId": "10076542",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1LSOWLLdui4",
"doi": "10.1109/MLCSS57186.2022.00051",
"title": "Study on The Psychological Stress Biofeedback Training System Based on Multiple Physiological Parameters",
"normalizedTitle": "Study on The Psychological Stress Biofeedback Training System Based on Multiple Physiological Parameters",
"abstract": "In the development of modernization, although the innovation of information technology has brought new opportunities for the development of various fields, it has also increased the pressure of people's life and work in practice and innovation. In the long run, it will not only produce a variety of types of mental and psychological diseases, but also aggravate the difficulty of social construction and development. Nowadays, China's research on the treatment of mental illness is mainly focused on drugs. Although such research can alleviate the psychological problems of patients in a certain sense, it will also produce excessive diagnosis and treatment costs, and it is easy to make patients feel dependent for a long time. The new biofeedback technology could not only prevent patients from taking drugs for long periods of time, but also curb the side effects of medical treatments. Therefore, based on the systematic understanding of the biofeedback training system and the existing clinical application effects at home and abroad, this paper conducted an empirical analysis of the psychological stress biofeedback training system with a variety of biological parameters as the core. The final results show that it is very important to explore the application value of biofeedback technology system in depth during the study of psychological stress.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In the development of modernization, although the innovation of information technology has brought new opportunities for the development of various fields, it has also increased the pressure of people's life and work in practice and innovation. In the long run, it will not only produce a variety of types of mental and psychological diseases, but also aggravate the difficulty of social construction and development. Nowadays, China's research on the treatment of mental illness is mainly focused on drugs. Although such research can alleviate the psychological problems of patients in a certain sense, it will also produce excessive diagnosis and treatment costs, and it is easy to make patients feel dependent for a long time. The new biofeedback technology could not only prevent patients from taking drugs for long periods of time, but also curb the side effects of medical treatments. Therefore, based on the systematic understanding of the biofeedback training system and the existing clinical application effects at home and abroad, this paper conducted an empirical analysis of the psychological stress biofeedback training system with a variety of biological parameters as the core. The final results show that it is very important to explore the application value of biofeedback technology system in depth during the study of psychological stress.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In the development of modernization, although the innovation of information technology has brought new opportunities for the development of various fields, it has also increased the pressure of people's life and work in practice and innovation. In the long run, it will not only produce a variety of types of mental and psychological diseases, but also aggravate the difficulty of social construction and development. Nowadays, China's research on the treatment of mental illness is mainly focused on drugs. Although such research can alleviate the psychological problems of patients in a certain sense, it will also produce excessive diagnosis and treatment costs, and it is easy to make patients feel dependent for a long time. The new biofeedback technology could not only prevent patients from taking drugs for long periods of time, but also curb the side effects of medical treatments. Therefore, based on the systematic understanding of the biofeedback training system and the existing clinical application effects at home and abroad, this paper conducted an empirical analysis of the psychological stress biofeedback training system with a variety of biological parameters as the core. The final results show that it is very important to explore the application value of biofeedback technology system in depth during the study of psychological stress.",
"fno": "549300a233",
"keywords": [
"Diseases",
"Medical Computing",
"Patient Treatment",
"Psychology",
"Biofeedback Technology System",
"Drugs",
"Mental Diseases",
"Psychological Diseases",
"Psychological Stress Biofeedback Training System",
"Training",
"Drugs",
"Technological Innovation",
"Systematics",
"Psychology",
"Medical Treatment",
"Human Factors",
"Physiological Parameters",
"Psychological Pressure",
"Biofeedback Training System",
"Mobile Monitoring System"
],
"authors": [
{
"affiliation": "Anshan Junzhiyue Enterprise Management Consulting Co., Ltd,Anshan,China",
"fullName": "Jing Shen",
"givenName": "Jing",
"surname": "Shen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Anshan Shunda Huanneng Mechanical Equipment Co., Ltd,Anshan,China",
"fullName": "Yue Cui",
"givenName": "Yue",
"surname": "Cui",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "mlcss",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-08-01T00:00:00",
"pubType": "proceedings",
"pages": "233-237",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-5493-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "549300a229",
"articleId": "1LSP1kjttRK",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "549300a241",
"articleId": "1LSOVXuegXC",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/scamc/1978/9999/0/00679909",
"title": "Micro-Computers In Biofeedback",
"doi": null,
"abstractUrl": "/proceedings-article/scamc/1978/00679909/12OmNzZEACD",
"parentPublication": {
"id": "proceedings/scamc/1978/9999/0",
"title": "1978 The Second Annual Symposium on Computer Application in Medical Care",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2017/1710/0/1710a771",
"title": "Conceptualising a Targeted Rehabilitation Exercise Biofeedback System for a Cancer Survivorship Population",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2017/1710a771/12OmNzZmZhG",
"parentPublication": {
"id": "proceedings/cbms/2017/1710/0",
"title": "2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc2/2017/5862/0/5862a183",
"title": "A Mobile Cloud-Based Biofeedback Platform for Evaluating Medication Response",
"doi": null,
"abstractUrl": "/proceedings-article/sc2/2017/5862a183/12OmNzwHvpB",
"parentPublication": {
"id": "proceedings/sc2/2017/5862/0",
"title": "2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwecai/2022/7997/0/799700a339",
"title": "The Treatment and Development Prospect of VR Exposure Therapy for Mental Diseases",
"doi": null,
"abstractUrl": "/proceedings-article/iwecai/2022/799700a339/1Cugpye9cxW",
"parentPublication": {
"id": "proceedings/iwecai/2022/7997/0",
"title": "2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acii/2022/5908/0/09953849",
"title": "Speech Behavioral Markers Align on Symptom Factors in Psychological Distress",
"doi": null,
"abstractUrl": "/proceedings-article/acii/2022/09953849/1IAK0iLtHHy",
"parentPublication": {
"id": "proceedings/acii/2022/5908/0",
"title": "2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isaiee/2022/6357/0/635700a649",
"title": "Student Psychological Prediction and Analysis System based on Improved Apriori Algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/isaiee/2022/635700a649/1LRkW8xeLO8",
"parentPublication": {
"id": "proceedings/isaiee/2022/6357/0",
"title": "2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ta/2020/03/08319498",
"title": "Gaming Away Stress: Using Biofeedback Games to Learn Paced Breathing",
"doi": null,
"abstractUrl": "/journal/ta/2020/03/08319498/1mhPDEEhlLi",
"parentPublication": {
"id": "trans/ta",
"title": "IEEE Transactions on Affective Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icemme/2020/9144/0/914400a871",
"title": "Analysis on the Impact of Human Psychological on Economic Irrational Exuberance",
"doi": null,
"abstractUrl": "/proceedings-article/icemme/2020/914400a871/1tV99XK6efm",
"parentPublication": {
"id": "proceedings/icemme/2020/9144/0",
"title": "2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2021/4121/0/412100a213",
"title": "Recommending What Drug to Prescribe Next for Accurate and Explainable Medical Decisions",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2021/412100a213/1vb8UfzfZ0Q",
"parentPublication": {
"id": "proceedings/cbms/2021/4121/0",
"title": "2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icphds/2021/2594/0/259400a248",
"title": "Research on the Borderline Personality Disorder and Treatment",
"doi": null,
"abstractUrl": "/proceedings-article/icphds/2021/259400a248/1ymIMNZ8ltS",
"parentPublication": {
"id": "proceedings/icphds/2021/2594/0",
"title": "2021 International Conference on Public Health and Data Science (ICPHDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1grPb25cymQ",
"title": "2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)",
"acronym": "bibe",
"groupId": "1000075",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1grPgN4CBNu",
"doi": "10.1109/BIBE.2019.00109",
"title": "Normative and Fuzzy Aspects of Medical AI",
"normalizedTitle": "Normative and Fuzzy Aspects of Medical AI",
"abstract": "Normative and fuzzy aspects of Medical AI are examined and a framework is presented for the purpose of designing architectures that can accommodate the lifelong growth of data and knowledge pertaining to an individual's health, together with relevant privileges and permissions for access, growth and utilization of such a system. Considering disease through the normativistic perspective advanced by Sadegh-Zadeh, an action-theoretical analysis is adopted suitable for Medical AI. In this approach diseases are viewed as social artifacts mapped into deontic constructs. In a sense, they are action provoking states of affairs amenable to fuzzy computational approaches that in the past have found broad applicability to industrial process control.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Normative and fuzzy aspects of Medical AI are examined and a framework is presented for the purpose of designing architectures that can accommodate the lifelong growth of data and knowledge pertaining to an individual's health, together with relevant privileges and permissions for access, growth and utilization of such a system. Considering disease through the normativistic perspective advanced by Sadegh-Zadeh, an action-theoretical analysis is adopted suitable for Medical AI. In this approach diseases are viewed as social artifacts mapped into deontic constructs. In a sense, they are action provoking states of affairs amenable to fuzzy computational approaches that in the past have found broad applicability to industrial process control.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Normative and fuzzy aspects of Medical AI are examined and a framework is presented for the purpose of designing architectures that can accommodate the lifelong growth of data and knowledge pertaining to an individual's health, together with relevant privileges and permissions for access, growth and utilization of such a system. Considering disease through the normativistic perspective advanced by Sadegh-Zadeh, an action-theoretical analysis is adopted suitable for Medical AI. In this approach diseases are viewed as social artifacts mapped into deontic constructs. In a sense, they are action provoking states of affairs amenable to fuzzy computational approaches that in the past have found broad applicability to industrial process control.",
"fno": "461700a571",
"keywords": [
"Decision Making",
"Diseases",
"Fuzzy Reasoning",
"Medical Computing",
"Normative Aspects",
"Fuzzy Aspects",
"Medical AI",
"Knowledge Pertaining",
"Action Theoretical Analysis",
"Fuzzy Computational Approaches",
"Process Control",
"Computer Architecture",
"History",
"Artificial Intelligence",
"Deductive Databases",
"Medical Diagnostic Imaging",
"Diseases",
"Medical AI",
"Deontic Logic",
"Fuzzy Logic",
"Action Theory Analysis"
],
"authors": [
{
"affiliation": "University of Thessaly",
"fullName": "Aspassia Daskalopulu",
"givenName": "Aspassia",
"surname": "Daskalopulu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Thessaly",
"fullName": "Eleutherios Tsoukalas",
"givenName": "Eleutherios",
"surname": "Tsoukalas",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Thessaly",
"fullName": "Dimitrios Bargiotas",
"givenName": "Dimitrios",
"surname": "Bargiotas",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "bibe",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-10-01T00:00:00",
"pubType": "proceedings",
"pages": "571-576",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-4617-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "461700a567",
"articleId": "1grPhonJOLe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "461700a577",
"articleId": "1grPh7oVBjW",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/bibe/2015/7983/0/07367687",
"title": "A fuzzy model for supporting the diagnosis of lumbar disc herniation",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2015/07367687/12OmNAYXWL2",
"parentPublication": {
"id": "proceedings/bibe/2015/7983/0",
"title": "2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/tai/1990/2084/0/00130433",
"title": "Assessment of the reliability of AI programs",
"doi": null,
"abstractUrl": "/proceedings-article/tai/1990/00130433/12OmNvkpliS",
"parentPublication": {
"id": "proceedings/tai/1990/2084/0",
"title": "Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scamc/1983/0503/0/00764789",
"title": "Performance of a fuzzy set theoretic model for medical diagnosis",
"doi": null,
"abstractUrl": "/proceedings-article/scamc/1983/00764789/12OmNwNeYAs",
"parentPublication": {
"id": "proceedings/scamc/1983/0503/0",
"title": "1983 The Seventh Annual Symposium on Computer Applications in Medical Care",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iciev/2014/5179/0/06850715",
"title": "Fuzzy logic application in gynecology: A case study",
"doi": null,
"abstractUrl": "/proceedings-article/iciev/2014/06850715/12OmNzvQI6m",
"parentPublication": {
"id": "proceedings/iciev/2014/5179/0",
"title": "2014 International Conference on Informatics, Electronics & Vision (ICIEV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2013/03/mex2013030086",
"title": "AI's 10 to Watch",
"doi": null,
"abstractUrl": "/magazine/ex/2013/03/mex2013030086/13rRUwkfAVe",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2018/09/mco2018090028",
"title": "Toward Human-Understandable, Explainable AI",
"doi": null,
"abstractUrl": "/magazine/co/2018/09/mco2018090028/146z4GYQhXm",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/services/2018/7374/0/737400a019",
"title": "Similarity Matching for Workflows in Medical Domain Using Topic Modeling",
"doi": null,
"abstractUrl": "/proceedings-article/services/2018/737400a019/14Fq0ZnbzgC",
"parentPublication": {
"id": "proceedings/services/2018/7374/0",
"title": "2018 IEEE World Congress on Services (SERVICES)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0/199300a194",
"title": "Medical Dialogue Generation via Extracting Heterogenous Information",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2022/199300a194/1LSPJf2Zxe0",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0",
"title": "2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2021/03/09446663",
"title": "Guest Editorial: Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution",
"doi": null,
"abstractUrl": "/journal/tb/2021/03/09446663/1u8lipNF3dC",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2021/0477/0/047700c441",
"title": "DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2021/047700c441/1uqGwXjNwKk",
"parentPublication": {
"id": "proceedings/wacv/2021/0477/0",
"title": "2021 IEEE Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1ymILNQGs8g",
"title": "2021 International Conference on Public Health and Data Science (ICPHDS)",
"acronym": "icphds",
"groupId": "1840485",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1ymIMNZ8ltS",
"doi": "10.1109/ICPHDS53608.2021.00057",
"title": "Research on the Borderline Personality Disorder and Treatment",
"normalizedTitle": "Research on the Borderline Personality Disorder and Treatment",
"abstract": "Borderline personality disorder (BPD) is a severe psychological disorder that can cause a great deal of distress if left untreated. This paper describes the symptom and cause of the BPD and then identifies barriers to access to critical resources for BPD support and treatment services from the perspective of individuals seeking care. There is a growing number of effective forms of lower-intensity treatment for BPD, offering hope for improving the standard of care in general for these complex patients.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Borderline personality disorder (BPD) is a severe psychological disorder that can cause a great deal of distress if left untreated. This paper describes the symptom and cause of the BPD and then identifies barriers to access to critical resources for BPD support and treatment services from the perspective of individuals seeking care. There is a growing number of effective forms of lower-intensity treatment for BPD, offering hope for improving the standard of care in general for these complex patients.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Borderline personality disorder (BPD) is a severe psychological disorder that can cause a great deal of distress if left untreated. This paper describes the symptom and cause of the BPD and then identifies barriers to access to critical resources for BPD support and treatment services from the perspective of individuals seeking care. There is a growing number of effective forms of lower-intensity treatment for BPD, offering hope for improving the standard of care in general for these complex patients.",
"fno": "259400a248",
"keywords": [
"Health Care",
"Medical Disorders",
"Patient Treatment",
"Psychology",
"BPD Support",
"Lower Intensity Treatment",
"Borderline Personality Disorder",
"Severe Psychological Disorder",
"Drugs",
"Art",
"Medical Treatment",
"Psychology",
"Focusing",
"Data Science",
"Public Healthcare",
"Borderline Personality Disorder",
"Psychotherapy",
"Dialectical Behavior Therapy",
"Mentalization Based Treatment",
"Transference Focused Psychotherapy",
"Schema Focused Therapy",
"Medications"
],
"authors": [
{
"affiliation": "Jiangsu Province Tianyi High School,Wuxi,China,214000",
"fullName": "Xu Yao",
"givenName": "Xu",
"surname": "Yao",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icphds",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-07-01T00:00:00",
"pubType": "proceedings",
"pages": "248-251",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-2594-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "259400a240",
"articleId": "1ymIPQHPsdi",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "259400a252",
"articleId": "1ymIOAE8Gti",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icit/2008/3513/0/3513a215",
"title": "On Specification of Treatment Modules",
"doi": null,
"abstractUrl": "/proceedings-article/icit/2008/3513a215/12OmNBr4eIs",
"parentPublication": {
"id": "proceedings/icit/2008/3513/0",
"title": "2008 International Conference on Information Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scamc/1978/9999/0/00679928",
"title": "Treatment Protocols As Hierarchical Structures",
"doi": null,
"abstractUrl": "/proceedings-article/scamc/1978/00679928/12OmNrGsDrw",
"parentPublication": {
"id": "proceedings/scamc/1978/9999/0",
"title": "1978 The Second Annual Symposium on Computer Application in Medical Care",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acit-csi/2015/9642/0/9642a305",
"title": "Fuzzy Logic Controller Applied to Brain Emotional Learning Based Model of Bipolar Disorder II",
"doi": null,
"abstractUrl": "/proceedings-article/acit-csi/2015/9642a305/12OmNzSyCfs",
"parentPublication": {
"id": "proceedings/acit-csi/2015/9642/0",
"title": "2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence (ACIT-CSI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itme/2021/0679/0/067900a425",
"title": "2016–2021 domestic and foreign research progress in the treatment of cervical cancer with traditional Chinese medicine",
"doi": null,
"abstractUrl": "/proceedings-article/itme/2021/067900a425/1CAToTQPn1u",
"parentPublication": {
"id": "proceedings/itme/2021/0679/0",
"title": "2021 11th International Conference on Information Technology in Medicine and Education (ITME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itme/2022/1015/0/101500a189",
"title": "E-Learning Design for Psychologists to Implement Chatbots for Clients with Borderline Personality Disorder",
"doi": null,
"abstractUrl": "/proceedings-article/itme/2022/101500a189/1M4rjNvJ7Gg",
"parentPublication": {
"id": "proceedings/itme/2022/1015/0",
"title": "2022 12th International Conference on Information Technology in Medicine and Education (ITME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iscv/2020/8041/0/09204125",
"title": "Augmented reality for children with Autism Spectrum Disorder - A systematic review",
"doi": null,
"abstractUrl": "/proceedings-article/iscv/2020/09204125/1nmi7vlqm9q",
"parentPublication": {
"id": "proceedings/iscv/2020/8041/0",
"title": "2020 International Conference on Intelligent Systems and Computer Vision (ISCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/svr/2020/9231/0/923100a331",
"title": "Escape Room Virtual Reality: A Tool for Diagnosis and Treatment of Attention Deficit Disorder",
"doi": null,
"abstractUrl": "/proceedings-article/svr/2020/923100a331/1oZBBHshcC4",
"parentPublication": {
"id": "proceedings/svr/2020/9231/0",
"title": "2020 22nd Symposium on Virtual and Augmented Reality (SVR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icphds/2020/8571/0/857100a342",
"title": "Analysis of the Causes, Effects and Treatments of Alcohol Use Disorder",
"doi": null,
"abstractUrl": "/proceedings-article/icphds/2020/857100a342/1rxhsLfk0xi",
"parentPublication": {
"id": "proceedings/icphds/2020/8571/0",
"title": "2020 International Conference on Public Health and Data Science (ICPHDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icphds/2020/8571/0/857100a360",
"title": "Causes and Treatment of Adolescent Depression",
"doi": null,
"abstractUrl": "/proceedings-article/icphds/2020/857100a360/1rxhud7DsZO",
"parentPublication": {
"id": "proceedings/icphds/2020/8571/0",
"title": "2020 International Conference on Public Health and Data Science (ICPHDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2009/3943/0/04811017",
"title": "A Virtual Iraq System for the Treatment of Combat-Related Posttraumatic Stress Disorder",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2009/04811017/1t0I2raPC12",
"parentPublication": {
"id": "proceedings/vr/2009/3943/0",
"title": "2009 IEEE Virtual Reality Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1ymILNQGs8g",
"title": "2021 International Conference on Public Health and Data Science (ICPHDS)",
"acronym": "icphds",
"groupId": "1840485",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1ymIR6FQfm0",
"doi": "10.1109/ICPHDS53608.2021.00030",
"title": "Challenges and Countermeasures for Medical Social Workers when Serving Low-income Patients",
"normalizedTitle": "Challenges and Countermeasures for Medical Social Workers when Serving Low-income Patients",
"abstract": "Medical social work is increasingly recognized for their importance in hospital, while challenges arise when serving different groups, this study identified four main challenges when serving low-income patients: low awareness of medical social work, low acceptance of medical social work, single demand and inadequate knowledge of the policy. After a detailed analysis of the causes as well as the psychological state of the patients and their families, this study summarized the previous experience and put forward the corresponding countermeasures. This paper argues that empathy, respect and understanding are the core principles when serving low-income group, providing reference for medical social workers when they encounter similar situations.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Medical social work is increasingly recognized for their importance in hospital, while challenges arise when serving different groups, this study identified four main challenges when serving low-income patients: low awareness of medical social work, low acceptance of medical social work, single demand and inadequate knowledge of the policy. After a detailed analysis of the causes as well as the psychological state of the patients and their families, this study summarized the previous experience and put forward the corresponding countermeasures. This paper argues that empathy, respect and understanding are the core principles when serving low-income group, providing reference for medical social workers when they encounter similar situations.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Medical social work is increasingly recognized for their importance in hospital, while challenges arise when serving different groups, this study identified four main challenges when serving low-income patients: low awareness of medical social work, low acceptance of medical social work, single demand and inadequate knowledge of the policy. After a detailed analysis of the causes as well as the psychological state of the patients and their families, this study summarized the previous experience and put forward the corresponding countermeasures. This paper argues that empathy, respect and understanding are the core principles when serving low-income group, providing reference for medical social workers when they encounter similar situations.",
"fno": "259400a106",
"keywords": [
"Health Care",
"Psychology",
"Public Administration",
"Medical Social Workers",
"Low Income Patients",
"Medical Social Work",
"Patient Psychological State",
"Hospitals",
"Face Recognition",
"Psychology",
"Data Science",
"Public Healthcare",
"Social Work",
"Medical Social Workers",
"Low Income Groups",
"Patients And Their Families",
"Psychology"
],
"authors": [
{
"affiliation": "Kunming Children’s Hospital,Department of Social Work,Kunming,China",
"fullName": "Junjie Dong",
"givenName": "Junjie",
"surname": "Dong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Kunming Children’s Hospital,Department of Social Work,Kunming,China",
"fullName": "Yawen Yang",
"givenName": "Yawen",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Kunming Children’s Hospital,Department of Social Work,Kunming,China",
"fullName": "Li Liu",
"givenName": "Li",
"surname": "Liu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icphds",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-07-01T00:00:00",
"pubType": "proceedings",
"pages": "106-109",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-2594-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "259400a101",
"articleId": "1ymILVEmVMc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "259400a110",
"articleId": "1ymIQaumbg4",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/socialsens/2018/6165/0/616501a050",
"title": "Public Health and Social Media: Language Analysis of Vaccine Conversations",
"doi": null,
"abstractUrl": "/proceedings-article/socialsens/2018/616501a050/12OmNBhHt6a",
"parentPublication": {
"id": "proceedings/socialsens/2018/6165/0",
"title": "2018 International Workshop on Social Sensing (SocialSens)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2016/5670/0/5670d318",
"title": "Geographical and Socioeconomic Disparity Analysis -- An Empirical Study of Hypertension and Its Comorbidities in China",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2016/5670d318/12OmNxwnca4",
"parentPublication": {
"id": "proceedings/hicss/2016/5670/0",
"title": "2016 49th Hawaii International Conference on System Sciences (HICSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bcgin/2012/4854/0/4854a279",
"title": "Alleviating the Residents' Income Gap in China",
"doi": null,
"abstractUrl": "/proceedings-article/bcgin/2012/4854a279/12OmNzaQoCW",
"parentPublication": {
"id": "proceedings/bcgin/2012/4854/0",
"title": "2012 Second International Conference on Business Computing and Global Informatization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0/199300c159",
"title": "Factors influencing out of pocket ratio to CPS among NPC patients in Guangxi: 2014-2020",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2022/199300c159/1LSPpQeUfmg",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity-dependsys/2022/1993/0",
"title": "2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2019/2286/0/228600a007",
"title": "EVOTION – Big Data Supporting Public Hearing Health Policies",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2019/228600a007/1cdO3zvvji0",
"parentPublication": {
"id": "proceedings/cbms/2019/2286/0",
"title": "2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icphds/2020/8571/0/857100a377",
"title": "Research Progress of Chinese Public Health System Reform under COVID-19",
"doi": null,
"abstractUrl": "/proceedings-article/icphds/2020/857100a377/1rxhpKXlTS8",
"parentPublication": {
"id": "proceedings/icphds/2020/8571/0",
"title": "2020 International Conference on Public Health and Data Science (ICPHDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icphds/2020/8571/0/857100a048",
"title": "Investigation and Countermeasures on the Current Situation of Patients’ Demand for Nursing Workers in Chifeng Area",
"doi": null,
"abstractUrl": "/proceedings-article/icphds/2020/857100a048/1rxhpfOAn7i",
"parentPublication": {
"id": "proceedings/icphds/2020/8571/0",
"title": "2020 International Conference on Public Health and Data Science (ICPHDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icphds/2020/8571/0/857100a307",
"title": "Current Situation and Countermeasures of Uncontrollable Infection of Severe Acute Pancreatitis",
"doi": null,
"abstractUrl": "/proceedings-article/icphds/2020/857100a307/1rxhs2R5llK",
"parentPublication": {
"id": "proceedings/icphds/2020/8571/0",
"title": "2020 International Conference on Public Health and Data Science (ICPHDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378292",
"title": "Correlation Analysis between Median Income level of District and Quality of Medical Service in Seoul, Korea",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378292/1s64Ngspri0",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icphds/2021/2594/0/259400a197",
"title": "Effects of Changes in Rural Household Income on Health care expenditure in China",
"doi": null,
"abstractUrl": "/proceedings-article/icphds/2021/259400a197/1ymIQzHxazm",
"parentPublication": {
"id": "proceedings/icphds/2021/2594/0",
"title": "2021 International Conference on Public Health and Data Science (ICPHDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNx4Q6EK",
"title": "2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"acronym": "icmtma",
"groupId": "1002837",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNAoDibT",
"doi": "10.1109/ICMTMA.2015.249",
"title": "Structure Optimization of a Bi-planar Parallel Mechanism for Spine Surgeries",
"normalizedTitle": "Structure Optimization of a Bi-planar Parallel Mechanism for Spine Surgeries",
"abstract": "Due to the urgent needs for high precision surgical equipments in minimally invasive spine surgeries, a novel robot-assisted system for the accurate placement of pedicle screws in lumbar spinal surgeries is developed. The structure design of the robot is based on a macro-micro mechanism, which includes a serial mechanism and a bi-planar 5R parallel mechanism. The researchable workspace, kinematic model and dynamic model of the planar 5R mechanism are analyzed, based on which the links lengths of 5R mechanisms are optimized. This paper provides a reference for the structure design of new medical robots for minimally invasive spine surgeries.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Due to the urgent needs for high precision surgical equipments in minimally invasive spine surgeries, a novel robot-assisted system for the accurate placement of pedicle screws in lumbar spinal surgeries is developed. The structure design of the robot is based on a macro-micro mechanism, which includes a serial mechanism and a bi-planar 5R parallel mechanism. The researchable workspace, kinematic model and dynamic model of the planar 5R mechanism are analyzed, based on which the links lengths of 5R mechanisms are optimized. This paper provides a reference for the structure design of new medical robots for minimally invasive spine surgeries.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Due to the urgent needs for high precision surgical equipments in minimally invasive spine surgeries, a novel robot-assisted system for the accurate placement of pedicle screws in lumbar spinal surgeries is developed. The structure design of the robot is based on a macro-micro mechanism, which includes a serial mechanism and a bi-planar 5R parallel mechanism. The researchable workspace, kinematic model and dynamic model of the planar 5R mechanism are analyzed, based on which the links lengths of 5R mechanisms are optimized. This paper provides a reference for the structure design of new medical robots for minimally invasive spine surgeries.",
"fno": "7143b022",
"keywords": [
"Fasteners",
"Spine",
"Medical Robotics",
"Minimally Invasive Surgery",
"Kinematics",
"Optimal Design",
"Robot Assisted Spine Surgery",
"5 R Mechanism",
"Researchable Workspace",
"Dynamic Analysis"
],
"authors": [
{
"affiliation": null,
"fullName": "Wang Yongfeng",
"givenName": "Wang",
"surname": "Yongfeng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Yu Hongjian",
"givenName": "Yu",
"surname": "Hongjian",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Du Zhijiang",
"givenName": "Du",
"surname": "Zhijiang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Dong Wei",
"givenName": "Dong",
"surname": "Wei",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icmtma",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-06-01T00:00:00",
"pubType": "proceedings",
"pages": "1022-1025",
"year": "2015",
"issn": null,
"isbn": "978-1-4673-7143-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "7143b018",
"articleId": "12OmNwIHozJ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "7143b026",
"articleId": "12OmNAkWvAt",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/itme/2015/8302/0/8302a264",
"title": "The Analysis of Endoscopic-Assisted Neck Minimally Invasive Radical Operation of Thyroid Cancer (Experience of 402 Cases)",
"doi": null,
"abstractUrl": "/proceedings-article/itme/2015/8302a264/12OmNCm7BHY",
"parentPublication": {
"id": "proceedings/itme/2015/8302/0",
"title": "2015 7th International Conference on Information Technology in Medicine and Education (ITME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aqtr/2012/0701/0/06237744",
"title": "Kinematics and workspace of a new surgical robot with five degrees of freedom",
"doi": null,
"abstractUrl": "/proceedings-article/aqtr/2012/06237744/12OmNCwUmz7",
"parentPublication": {
"id": "proceedings/aqtr/2012/0701/0",
"title": "International Conference on Automation, Quality and Testing, Robotics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/haptics/2006/0226/0/02260016",
"title": "Design and Development of a General Purpose 7 DOF Haptic Device",
"doi": null,
"abstractUrl": "/proceedings-article/haptics/2006/02260016/12OmNqIhFYL",
"parentPublication": {
"id": "proceedings/haptics/2006/0226/0",
"title": "2006 14th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dui/2014/3624/0/06798854",
"title": "Poster: Modeling insertion point for general purpose haptic device simulations for minimally invasive surgeries",
"doi": null,
"abstractUrl": "/proceedings-article/3dui/2014/06798854/12OmNyFU6YZ",
"parentPublication": {
"id": "proceedings/3dui/2014/3624/0",
"title": "2014 IEEE Symposium on 3D User Interfaces (3DUI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iacsit-sc/2009/3653/0/3653a475",
"title": "Modeling and Simulation of Graspers Force in Minimally Invasive Surgery",
"doi": null,
"abstractUrl": "/proceedings-article/iacsit-sc/2009/3653a475/12OmNzt0IC5",
"parentPublication": {
"id": "proceedings/iacsit-sc/2009/3653/0",
"title": "Computer Science and Information Technology, International Association of",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2012/02/tth2012020131",
"title": "Haptic Detection of Artificial Tumors by Hand and with a Tool in a MIS Environment",
"doi": null,
"abstractUrl": "/journal/th/2012/02/tth2012020131/13rRUwfZBVs",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2007/02/mcg2007020054",
"title": "VR-Based Simulators for Training in Minimally Invasive Surgery",
"doi": null,
"abstractUrl": "/magazine/cg/2007/02/mcg2007020054/13rRUy2YM1c",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2022/8402/0/840200a870",
"title": "X-Ray Device Positioning with Augmented Reality Visual Feedback",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2022/840200a870/1CJfmBHBffW",
"parentPublication": {
"id": "proceedings/vrw/2022/8402/0",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wcmeim/2019/5045/0/504500a461",
"title": "A Multi-Module Soft Robotic Arm with Soft End Effector for Minimally Invasive Surgery",
"doi": null,
"abstractUrl": "/proceedings-article/wcmeim/2019/504500a461/1hHLtXvykec",
"parentPublication": {
"id": "proceedings/wcmeim/2019/5045/0",
"title": "2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a517",
"title": "A Systematic Literature Review of Research in the Surgical Field of Medical Robotics",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a517/1nkDlZenrSU",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNC8uRqY",
"title": "2010 International Conference on Computational and Information Sciences",
"acronym": "iccis",
"groupId": "1800262",
"volume": "0",
"displayVolume": "0",
"year": "2010",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNwCsdOJ",
"doi": "10.1109/ICCIS.2010.109",
"title": "Study on Cervical Spine Stresses Based on Three-Dimensional Finite Element Method",
"normalizedTitle": "Study on Cervical Spine Stresses Based on Three-Dimensional Finite Element Method",
"abstract": "To establish three dimensional finite element model of the whole cervical spine and investigate biomechanical characteristic of the human cervical spine for application of clinical diagnosis and therapy. Method: A healthy adult female was subjected, three dimensional finite element model of the whole cervical spine was established using the method of 3D interpolation with CT. Result: The model included seven vertebrae, five discs, postical structure and seven ligaments. The volume of the whole model is 74 878.34mm3, the surface area is 32 616.04mm2, which consisting of 578 007elements, 123 358nodes, comparing the simulation data with the literature, the validity of the model was verified. Conclusion: The three-dimensional finite element model simulates the structure and property of cervical spine, whose structure is whole, its elements is fine, the model is very accurate and credible. The equivalent (Von Mises) stress of centum, facet joints and intervertebral disc in flexion is higher than in extension, the result of the biomechanical study was better correlated with the available experimental data. This indicates that the model can be used to analyze the biomechanics characteristic of the human cervical spine f in different condition.",
"abstracts": [
{
"abstractType": "Regular",
"content": "To establish three dimensional finite element model of the whole cervical spine and investigate biomechanical characteristic of the human cervical spine for application of clinical diagnosis and therapy. Method: A healthy adult female was subjected, three dimensional finite element model of the whole cervical spine was established using the method of 3D interpolation with CT. Result: The model included seven vertebrae, five discs, postical structure and seven ligaments. The volume of the whole model is 74 878.34mm3, the surface area is 32 616.04mm2, which consisting of 578 007elements, 123 358nodes, comparing the simulation data with the literature, the validity of the model was verified. Conclusion: The three-dimensional finite element model simulates the structure and property of cervical spine, whose structure is whole, its elements is fine, the model is very accurate and credible. The equivalent (Von Mises) stress of centum, facet joints and intervertebral disc in flexion is higher than in extension, the result of the biomechanical study was better correlated with the available experimental data. This indicates that the model can be used to analyze the biomechanics characteristic of the human cervical spine f in different condition.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "To establish three dimensional finite element model of the whole cervical spine and investigate biomechanical characteristic of the human cervical spine for application of clinical diagnosis and therapy. Method: A healthy adult female was subjected, three dimensional finite element model of the whole cervical spine was established using the method of 3D interpolation with CT. Result: The model included seven vertebrae, five discs, postical structure and seven ligaments. The volume of the whole model is 74 878.34mm3, the surface area is 32 616.04mm2, which consisting of 578 007elements, 123 358nodes, comparing the simulation data with the literature, the validity of the model was verified. Conclusion: The three-dimensional finite element model simulates the structure and property of cervical spine, whose structure is whole, its elements is fine, the model is very accurate and credible. The equivalent (Von Mises) stress of centum, facet joints and intervertebral disc in flexion is higher than in extension, the result of the biomechanical study was better correlated with the available experimental data. This indicates that the model can be used to analyze the biomechanics characteristic of the human cervical spine f in different condition.",
"fno": "4270a420",
"keywords": [
"Finite Element Method",
"Model",
"Cervical Spine",
"Biomechanics"
],
"authors": [
{
"affiliation": null,
"fullName": "Lian-jie Zhang",
"givenName": "Lian-jie",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Qing-jun Meng",
"givenName": "Qing-jun",
"surname": "Meng",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2010-12-01T00:00:00",
"pubType": "proceedings",
"pages": "420-423",
"year": "2010",
"issn": null,
"isbn": "978-0-7695-4270-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4270a416",
"articleId": "12OmNwD1q2W",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4270a424",
"articleId": "12OmNyO8tXU",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/bibmw/2012/2746/0/06470331",
"title": "Acupuncture for neck type cervical spondylosis on Heart-Gallbladder theory",
"doi": null,
"abstractUrl": "/proceedings-article/bibmw/2012/06470331/12OmNCd2rMN",
"parentPublication": {
"id": "proceedings/bibmw/2012/2746/0",
"title": "2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2018/6060/0/606001a054",
"title": "Gender Detection from Spine X-Ray Images Using Deep Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2018/606001a054/12OmNscfHUW",
"parentPublication": {
"id": "proceedings/cbms/2018/6060/0",
"title": "2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icfcse/2011/1562/0/06041654",
"title": "Study on Cervical Spine Stresses Based on Finite Element Model",
"doi": null,
"abstractUrl": "/proceedings-article/icfcse/2011/06041654/12OmNwEJ0GF",
"parentPublication": {
"id": "proceedings/icfcse/2011/1562/0",
"title": "2011 International Conference on Future Computer Science and Education",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icfcse/2011/1562/0/06041658",
"title": "Mechanics Analysis of Lumbar Segment for the Athlete During Preparing Lifting Barbell and It's Finite Element Simulation",
"doi": null,
"abstractUrl": "/proceedings-article/icfcse/2011/06041658/12OmNwGZNI1",
"parentPublication": {
"id": "proceedings/icfcse/2011/1562/0",
"title": "2011 International Conference on Future Computer Science and Education",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2004/2104/0/21040204",
"title": "Image Analysis Techniques for the Automated Evaluation of Subaxial Subluxation in Cervical Spine X-ray Images",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2004/21040204/12OmNyNQSE6",
"parentPublication": {
"id": "proceedings/cbms/2004/2104/0",
"title": "Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibmw/2012/2746/0/06470329",
"title": "30 Cases of clinical efficacy observation on degenerative cervical spondylosis treated with needle-knife therapy",
"doi": null,
"abstractUrl": "/proceedings-article/bibmw/2012/06470329/12OmNyaXPQJ",
"parentPublication": {
"id": "proceedings/bibmw/2012/2746/0",
"title": "2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2010/4270/0/4270a760",
"title": "Study on Lumbar Spine Stresses during Manual Materials Handing Based on Finite Element Method",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2010/4270a760/12OmNyugz4r",
"parentPublication": {
"id": "proceedings/iccis/2010/4270/0",
"title": "2010 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icfcse/2011/1562/0/06041657",
"title": "Study on Lumbar Rotated and Localized Manipulation on Stress Based on Finite Element Method",
"doi": null,
"abstractUrl": "/proceedings-article/icfcse/2011/06041657/12OmNzwpU7O",
"parentPublication": {
"id": "proceedings/icfcse/2011/1562/0",
"title": "2011 International Conference on Future Computer Science and Education",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccmso/2022/3288/0/328800a177",
"title": "CLASSIFICATION OF VARIOUS STAGES OF HERNIATED CERVICAL SPINE IMAGES USING EDGE DETECTION OPERATORS",
"doi": null,
"abstractUrl": "/proceedings-article/iccmso/2022/328800a177/1Mq13GDQPPa",
"parentPublication": {
"id": "proceedings/iccmso/2022/3288/0",
"title": "2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icitbs/2020/6698/0/669800a305",
"title": "Multiscale Finite Element Model and Mechanical Analysis of a Cable-Stayed Bridge with Large Cantilever Spine Girder",
"doi": null,
"abstractUrl": "/proceedings-article/icitbs/2020/669800a305/1kuHXrkbjkk",
"parentPublication": {
"id": "proceedings/icitbs/2020/6698/0",
"title": "2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzEVRU8",
"title": "2011 International Conference on Future Computer Science and Education",
"acronym": "icfcse",
"groupId": "1800528",
"volume": "0",
"displayVolume": "0",
"year": "2011",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNwEJ0GF",
"doi": "10.1109/ICFCSE.2011.18",
"title": "Study on Cervical Spine Stresses Based on Finite Element Model",
"normalizedTitle": "Study on Cervical Spine Stresses Based on Finite Element Model",
"abstract": "Objective: To establish three dimensional finite element model of the whole cervical spine and investigate biomechanical characteristic of the human cervical spine for application of clinical diagnosis and therapy. Method: A healthy adult female was subjected, three dimensional finite element model of the whole cervical spine was established using the method of 3D interpolation with CT. Result: The model included seven vertebrae, five discs, postical structure and seven ligaments. The volume of the whole model is 74 878.34mm3, the surface area is 32 616.04mm2, which consisting of 578 007elements, 123 358nodes, comparing the simulation data with the literature, the validity of the model was verified. Conclusion: The three-dimensional finite element model simulates the structure and property of cervical spine, whose structure is whole, its elements is fine, the model is very accurate and credible. The equivalent (Von Mises) stress of centum, facet joints and intervertebral disc in flexion is higher than in extension, the result of the biomechanical study was better correlated with the available experimental data. This indicates that the model can be used to analyze the biomechanics characteristic of the human cervical spine f in different condition.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Objective: To establish three dimensional finite element model of the whole cervical spine and investigate biomechanical characteristic of the human cervical spine for application of clinical diagnosis and therapy. Method: A healthy adult female was subjected, three dimensional finite element model of the whole cervical spine was established using the method of 3D interpolation with CT. Result: The model included seven vertebrae, five discs, postical structure and seven ligaments. The volume of the whole model is 74 878.34mm3, the surface area is 32 616.04mm2, which consisting of 578 007elements, 123 358nodes, comparing the simulation data with the literature, the validity of the model was verified. Conclusion: The three-dimensional finite element model simulates the structure and property of cervical spine, whose structure is whole, its elements is fine, the model is very accurate and credible. The equivalent (Von Mises) stress of centum, facet joints and intervertebral disc in flexion is higher than in extension, the result of the biomechanical study was better correlated with the available experimental data. This indicates that the model can be used to analyze the biomechanics characteristic of the human cervical spine f in different condition.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Objective: To establish three dimensional finite element model of the whole cervical spine and investigate biomechanical characteristic of the human cervical spine for application of clinical diagnosis and therapy. Method: A healthy adult female was subjected, three dimensional finite element model of the whole cervical spine was established using the method of 3D interpolation with CT. Result: The model included seven vertebrae, five discs, postical structure and seven ligaments. The volume of the whole model is 74 878.34mm3, the surface area is 32 616.04mm2, which consisting of 578 007elements, 123 358nodes, comparing the simulation data with the literature, the validity of the model was verified. Conclusion: The three-dimensional finite element model simulates the structure and property of cervical spine, whose structure is whole, its elements is fine, the model is very accurate and credible. The equivalent (Von Mises) stress of centum, facet joints and intervertebral disc in flexion is higher than in extension, the result of the biomechanical study was better correlated with the available experimental data. This indicates that the model can be used to analyze the biomechanics characteristic of the human cervical spine f in different condition.",
"fno": "06041654",
"keywords": [
"Biomechanics",
"Bone",
"Computerised Tomography",
"Finite Element Analysis",
"Injuries",
"Interpolation",
"Orthopaedics",
"Patient Diagnosis",
"Patient Treatment",
"Physiological Models",
"Cervical Spine Stress",
"3 D Finite Element Model",
"Biomechanics",
"Clinical Diagnosis",
"Clinical Therapy",
"Postical Structure",
"Ligaments",
"Von Mises Stress",
"Centum",
"Facet Joints",
"Intervertebral Disc",
"Flexion",
"Computerised Tomography",
"3 D Interpolation",
"Finite Element Methods",
"Solid Modeling",
"Biological System Modeling",
"Biomechanics",
"Stress",
"Spine",
"Data Models",
"Finite Element Method",
"Model",
"Cervical Spine",
"Biomechanics"
],
"authors": [
{
"affiliation": null,
"fullName": "Bao Chun-yu",
"givenName": "Bao",
"surname": "Chun-yu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Meng Qing-hua",
"givenName": "Meng",
"surname": "Qing-hua",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icfcse",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2011-08-01T00:00:00",
"pubType": "proceedings",
"pages": "41-43",
"year": "2011",
"issn": null,
"isbn": "978-1-4577-1562-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "06041653",
"articleId": "12OmNA1DMmn",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06041655",
"articleId": "12OmNwbukio",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cbms/2018/6060/0/606001a054",
"title": "Gender Detection from Spine X-Ray Images Using Deep Learning",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2018/606001a054/12OmNscfHUW",
"parentPublication": {
"id": "proceedings/cbms/2018/6060/0",
"title": "2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2010/4270/0/4270a420",
"title": "Study on Cervical Spine Stresses Based on Three-Dimensional Finite Element Method",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2010/4270a420/12OmNwCsdOJ",
"parentPublication": {
"id": "proceedings/iccis/2010/4270/0",
"title": "2010 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icfcse/2011/1562/0/06041658",
"title": "Mechanics Analysis of Lumbar Segment for the Athlete During Preparing Lifting Barbell and It's Finite Element Simulation",
"doi": null,
"abstractUrl": "/proceedings-article/icfcse/2011/06041658/12OmNwGZNI1",
"parentPublication": {
"id": "proceedings/icfcse/2011/1562/0",
"title": "2011 International Conference on Future Computer Science and Education",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2004/2104/0/21040204",
"title": "Image Analysis Techniques for the Automated Evaluation of Subaxial Subluxation in Cervical Spine X-ray Images",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2004/21040204/12OmNyNQSE6",
"parentPublication": {
"id": "proceedings/cbms/2004/2104/0",
"title": "Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2010/4270/0/4270a760",
"title": "Study on Lumbar Spine Stresses during Manual Materials Handing Based on Finite Element Method",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2010/4270a760/12OmNyugz4r",
"parentPublication": {
"id": "proceedings/iccis/2010/4270/0",
"title": "2010 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icfcse/2011/1562/0/06041657",
"title": "Study on Lumbar Rotated and Localized Manipulation on Stress Based on Finite Element Method",
"doi": null,
"abstractUrl": "/proceedings-article/icfcse/2011/06041657/12OmNzwpU7O",
"parentPublication": {
"id": "proceedings/icfcse/2011/1562/0",
"title": "2011 International Conference on Future Computer Science and Education",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccmso/2022/3288/0/328800a177",
"title": "CLASSIFICATION OF VARIOUS STAGES OF HERNIATED CERVICAL SPINE IMAGES USING EDGE DETECTION OPERATORS",
"doi": null,
"abstractUrl": "/proceedings-article/iccmso/2022/328800a177/1Mq13GDQPPa",
"parentPublication": {
"id": "proceedings/iccmso/2022/3288/0",
"title": "2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icitbs/2020/6698/0/669800a305",
"title": "Multiscale Finite Element Model and Mechanical Analysis of a Cable-Stayed Bridge with Large Cantilever Spine Girder",
"doi": null,
"abstractUrl": "/proceedings-article/icitbs/2020/669800a305/1kuHXrkbjkk",
"parentPublication": {
"id": "proceedings/icitbs/2020/6698/0",
"title": "2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222085",
"title": "Visualization of Human Spine Biomechanics for Spinal Surgery",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222085/1nTqvP5vNXW",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mlise/2021/1736/0/173600a384",
"title": "Man-machine interaction simulation of four-bar linkage lumbar spine therapeutic instrument based on OpenSim and MATLAB",
"doi": null,
"abstractUrl": "/proceedings-article/mlise/2021/173600a384/1yOW5gsCgAU",
"parentPublication": {
"id": "proceedings/mlise/2021/1736/0",
"title": "2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNyFCvPc",
"title": "Intelligent Systems, Modelling and Simulation, International Conference on",
"acronym": "isms",
"groupId": "1003102",
"volume": "0",
"displayVolume": "0",
"year": "2013",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNwuvrUP",
"doi": "10.1109/ISMS.2013.101",
"title": "Neural Network Based Spinal Age Estimation Using Lumbar Spine Magnetic Resonance Images (MRI)",
"normalizedTitle": "Neural Network Based Spinal Age Estimation Using Lumbar Spine Magnetic Resonance Images (MRI)",
"abstract": "A human spine is a complicated structure of bones, joints, ligaments and muscles which all undergo a process of change with the age. This paper describes the existence of a pattern in degenerative process of human spine. Unveiling this pattern will be helpful in reassuring patients that the results of their scan are not unusual or indicative of any disease. A model based on artificial neural networks was formed with the help different spinal features such as vertebral height, disc height, disc signal and para-spinal muscles etc. These features of the lumbar spine vary with the age. Proposed model puts the degenerative changes of the lumbar spine into the context of a normal ageing process to estimate patient \"spinal age\". This research work will provide a more concrete view of spinal growth in human being with the help of statistical features. This work will be helpful in drawing a borderline between normal, under and over growth of the human spine with respect to the person's age.",
"abstracts": [
{
"abstractType": "Regular",
"content": "A human spine is a complicated structure of bones, joints, ligaments and muscles which all undergo a process of change with the age. This paper describes the existence of a pattern in degenerative process of human spine. Unveiling this pattern will be helpful in reassuring patients that the results of their scan are not unusual or indicative of any disease. A model based on artificial neural networks was formed with the help different spinal features such as vertebral height, disc height, disc signal and para-spinal muscles etc. These features of the lumbar spine vary with the age. Proposed model puts the degenerative changes of the lumbar spine into the context of a normal ageing process to estimate patient \"spinal age\". This research work will provide a more concrete view of spinal growth in human being with the help of statistical features. This work will be helpful in drawing a borderline between normal, under and over growth of the human spine with respect to the person's age.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "A human spine is a complicated structure of bones, joints, ligaments and muscles which all undergo a process of change with the age. This paper describes the existence of a pattern in degenerative process of human spine. Unveiling this pattern will be helpful in reassuring patients that the results of their scan are not unusual or indicative of any disease. A model based on artificial neural networks was formed with the help different spinal features such as vertebral height, disc height, disc signal and para-spinal muscles etc. These features of the lumbar spine vary with the age. Proposed model puts the degenerative changes of the lumbar spine into the context of a normal ageing process to estimate patient \"spinal age\". This research work will provide a more concrete view of spinal growth in human being with the help of statistical features. This work will be helpful in drawing a borderline between normal, under and over growth of the human spine with respect to the person's age.",
"fno": "4963a088",
"keywords": [
"Lumbar Spine Degenerative Changes Neural Network Spinal Age Magnetic Resonance Imaging"
],
"authors": [
{
"affiliation": null,
"fullName": "Atif Khan",
"givenName": "Atif",
"surname": "Khan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Daciana Iliescu",
"givenName": "Daciana",
"surname": "Iliescu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Evor Hines",
"givenName": "Evor",
"surname": "Hines",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Charles Hutchinson",
"givenName": "Charles",
"surname": "Hutchinson",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Robert Sneath",
"givenName": "Robert",
"surname": "Sneath",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "isms",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2013-01-01T00:00:00",
"pubType": "proceedings",
"pages": "88-93",
"year": "2013",
"issn": "2166-0662",
"isbn": "978-1-4673-5653-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4963a084",
"articleId": "12OmNzaQood",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4963a094",
"articleId": "12OmNxwENyr",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icmtma/2015/7143/0/7143b022",
"title": "Structure Optimization of a Bi-planar Parallel Mechanism for Spine Surgeries",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2015/7143b022/12OmNAoDibT",
"parentPublication": {
"id": "proceedings/icmtma/2015/7143/0",
"title": "2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/1992/2742/0/00244969",
"title": "Extracting spinal cord contours from transaxial MR images using computer vision techniques",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/1992/00244969/12OmNC2xhCY",
"parentPublication": {
"id": "proceedings/cbms/1992/2742/0",
"title": "Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isise/2010/4360/0/4360a066",
"title": "Statistic Model of the Spine in Three-Dimension Geometry",
"doi": null,
"abstractUrl": "/proceedings-article/isise/2010/4360a066/12OmNvSbBuL",
"parentPublication": {
"id": "proceedings/isise/2010/4360/0",
"title": "2010 Third International Symposium on Information Science and Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bsn/2010/4065/0/4065a009",
"title": "Quantitative Assessment of the Motion of the Lumbar Spine and Pelvis with Wearable Inertial Sensors",
"doi": null,
"abstractUrl": "/proceedings-article/bsn/2010/4065a009/12OmNxdDFGE",
"parentPublication": {
"id": "proceedings/bsn/2010/4065/0",
"title": "Wearable and Implantable Body Sensor Networks, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sbec/2016/2132/0/07459036",
"title": "A Novel Distractive and Mobility-Enabling Lumbar Spinal Orthosis",
"doi": null,
"abstractUrl": "/proceedings-article/sbec/2016/07459036/12OmNxxNbWL",
"parentPublication": {
"id": "proceedings/sbec/2016/2132/0",
"title": "2016 32nd Southern Biomedical Engineering Conference (SBEC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2014/5209/0/5209d191",
"title": "Using Shape-Aware Models for Lumbar Spine Intervertebral Disc Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2014/5209d191/12OmNykCcg3",
"parentPublication": {
"id": "proceedings/icpr/2014/5209/0",
"title": "2014 22nd International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ssiai/2016/9919/0/07459161",
"title": "Segmentation and extraction of the spinal canal in sagittal MR images",
"doi": null,
"abstractUrl": "/proceedings-article/ssiai/2016/07459161/12OmNyo1o2C",
"parentPublication": {
"id": "proceedings/ssiai/2016/9919/0",
"title": "2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-smartcity-dss/2018/6614/0/661400b449",
"title": "Development of Ground Truth Data for Automatic Lumbar Spine MRI Image Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-smartcity-dss/2018/661400b449/183rAfI3UZs",
"parentPublication": {
"id": "proceedings/hpcc-smartcity-dss/2018/6614/0",
"title": "2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mlise/2021/1736/0/173600a384",
"title": "Man-machine interaction simulation of four-bar linkage lumbar spine therapeutic instrument based on OpenSim and MATLAB",
"doi": null,
"abstractUrl": "/proceedings-article/mlise/2021/173600a384/1yOW5gsCgAU",
"parentPublication": {
"id": "proceedings/mlise/2021/1736/0",
"title": "2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibe/2021/4261/0/09635424",
"title": "Automatic Curvature Analysis for Finely Interpolated Spinal Curves",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2021/09635424/1zmvoeR0L96",
"parentPublication": {
"id": "proceedings/bibe/2021/4261/0",
"title": "2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNx4gUtL",
"title": "2016 32nd Southern Biomedical Engineering Conference (SBEC)",
"acronym": "sbec",
"groupId": "1000077",
"volume": "0",
"displayVolume": "0",
"year": "2016",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxxNbWL",
"doi": "10.1109/SBEC.2016.34",
"title": "A Novel Distractive and Mobility-Enabling Lumbar Spinal Orthosis",
"normalizedTitle": "A Novel Distractive and Mobility-Enabling Lumbar Spinal Orthosis",
"abstract": "Lumbar spinal orthoses are often used as non-surgical treatment and serve to support the spine and alleviate low back pain. More recently, dynamic orthoses claiming to decompress the spine have been introduced. A previously-developed dynamic mobility orthosis (DMO1) prototype provided mobility and spinal off-loading, but had high bending moments and did not maintain spinal off-loading throughout extended ranges of movement. The objective was to design a new orthosis prototype (DMO2) that reduced bending moment build up and sustained spinal off-loading during flexion and extension movement. A mechanical analogue upper torso model and a programmable robotic testing platform were used to design features of DMO2: a mobility-enabling component and a distractive force component. Test conditions for DMO2 were 300N of applied vertical torso load over a range of 25deg flexion to 10deg extension. Loads carried by the brace were determined throughout flexion and extension ranges. Applied moments to upper torso model and transferred moments to spine were measured. The difference in applied and transferred moments represented brace moments. DMO2 improved loadsharing capacity from 172N to 290N at end range flexion and from 247N to 293N at end range extension. End range applied moments (flexion-DMO1: 32.4Nm / DMO2: 21.7Nm, extension-DMO1: 15.0Nm / DMO2: 10.9Nm) and brace moments (flexion-DMO1: 18.6Nm / DMO2: 6.6Nm, extension-DMO1: 15.0Nm / DMO2: 4.4Nm) were reduced. A novel dynamic spinal orthosis was designed that maintained spinal off-loading and required minimal effort for movement.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Lumbar spinal orthoses are often used as non-surgical treatment and serve to support the spine and alleviate low back pain. More recently, dynamic orthoses claiming to decompress the spine have been introduced. A previously-developed dynamic mobility orthosis (DMO1) prototype provided mobility and spinal off-loading, but had high bending moments and did not maintain spinal off-loading throughout extended ranges of movement. The objective was to design a new orthosis prototype (DMO2) that reduced bending moment build up and sustained spinal off-loading during flexion and extension movement. A mechanical analogue upper torso model and a programmable robotic testing platform were used to design features of DMO2: a mobility-enabling component and a distractive force component. Test conditions for DMO2 were 300N of applied vertical torso load over a range of 25deg flexion to 10deg extension. Loads carried by the brace were determined throughout flexion and extension ranges. Applied moments to upper torso model and transferred moments to spine were measured. The difference in applied and transferred moments represented brace moments. DMO2 improved loadsharing capacity from 172N to 290N at end range flexion and from 247N to 293N at end range extension. End range applied moments (flexion-DMO1: 32.4Nm / DMO2: 21.7Nm, extension-DMO1: 15.0Nm / DMO2: 10.9Nm) and brace moments (flexion-DMO1: 18.6Nm / DMO2: 6.6Nm, extension-DMO1: 15.0Nm / DMO2: 4.4Nm) were reduced. A novel dynamic spinal orthosis was designed that maintained spinal off-loading and required minimal effort for movement.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Lumbar spinal orthoses are often used as non-surgical treatment and serve to support the spine and alleviate low back pain. More recently, dynamic orthoses claiming to decompress the spine have been introduced. A previously-developed dynamic mobility orthosis (DMO1) prototype provided mobility and spinal off-loading, but had high bending moments and did not maintain spinal off-loading throughout extended ranges of movement. The objective was to design a new orthosis prototype (DMO2) that reduced bending moment build up and sustained spinal off-loading during flexion and extension movement. A mechanical analogue upper torso model and a programmable robotic testing platform were used to design features of DMO2: a mobility-enabling component and a distractive force component. Test conditions for DMO2 were 300N of applied vertical torso load over a range of 25deg flexion to 10deg extension. Loads carried by the brace were determined throughout flexion and extension ranges. Applied moments to upper torso model and transferred moments to spine were measured. The difference in applied and transferred moments represented brace moments. DMO2 improved loadsharing capacity from 172N to 290N at end range flexion and from 247N to 293N at end range extension. End range applied moments (flexion-DMO1: 32.4Nm / DMO2: 21.7Nm, extension-DMO1: 15.0Nm / DMO2: 10.9Nm) and brace moments (flexion-DMO1: 18.6Nm / DMO2: 6.6Nm, extension-DMO1: 15.0Nm / DMO2: 4.4Nm) were reduced. A novel dynamic spinal orthosis was designed that maintained spinal off-loading and required minimal effort for movement.",
"fno": "07459036",
"keywords": [
"Torso",
"Biomedical Engineering",
"Prototypes",
"Load Modeling",
"Orthopedic Surgery",
"Spine",
"Back",
"Biomechanical Testing",
"Lumbar Spinal Orthosis",
"Low Back Pain"
],
"authors": [
{
"affiliation": null,
"fullName": "Daniel C. Hillyard",
"givenName": "Daniel C.",
"surname": "Hillyard",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Denis J. DiAngelo",
"givenName": "Denis J.",
"surname": "DiAngelo",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "sbec",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2016-03-01T00:00:00",
"pubType": "proceedings",
"pages": "133-133",
"year": "2016",
"issn": null,
"isbn": "978-1-5090-2132-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07459035",
"articleId": "12OmNzTppHk",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07459037",
"articleId": "12OmNxwnccb",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/isms/2013/4963/0/4963a088",
"title": "Neural Network Based Spinal Age Estimation Using Lumbar Spine Magnetic Resonance Images (MRI)",
"doi": null,
"abstractUrl": "/proceedings-article/isms/2013/4963a088/12OmNwuvrUP",
"parentPublication": {
"id": "proceedings/isms/2013/4963/0",
"title": "Intelligent Systems, Modelling and Simulation, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ams/2010/4062/0/4062a261",
"title": "PID Control of Knee Extension for FES-Assisted Walking with Spring Brake Orthosis",
"doi": null,
"abstractUrl": "/proceedings-article/ams/2010/4062a261/12OmNxFsmsI",
"parentPublication": {
"id": "proceedings/ams/2010/4062/0",
"title": "Asia International Conference on Modelling & Simulation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bsn/2010/4065/0/4065a009",
"title": "Quantitative Assessment of the Motion of the Lumbar Spine and Pelvis with Wearable Inertial Sensors",
"doi": null,
"abstractUrl": "/proceedings-article/bsn/2010/4065a009/12OmNxdDFGE",
"parentPublication": {
"id": "proceedings/bsn/2010/4065/0",
"title": "Wearable and Implantable Body Sensor Networks, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ssiai/2016/9919/0/07459161",
"title": "Segmentation and extraction of the spinal canal in sagittal MR images",
"doi": null,
"abstractUrl": "/proceedings-article/ssiai/2016/07459161/12OmNyo1o2C",
"parentPublication": {
"id": "proceedings/ssiai/2016/9919/0",
"title": "2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/annsim/2021/375/0/09552048",
"title": "Towards Applications of the “Surgical GPS” on Spinal Procedures",
"doi": null,
"abstractUrl": "/proceedings-article/annsim/2021/09552048/1xsdGFTFU4w",
"parentPublication": {
"id": "proceedings/annsim/2021/375/0",
"title": "2021 Annual Modeling and Simulation Conference (ANNSIM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1KaFN97eXLi",
"title": "2022 26th International Conference Information Visualisation (IV)",
"acronym": "iv",
"groupId": "1000370",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1KaGZupGF6E",
"doi": "10.1109/IV56949.2022.00079",
"title": "Biomechanical Modeling and Pre-Operative Projection of A Human Organ using an Augmented Reality Technique During Open Hepatic Surgery",
"normalizedTitle": "Biomechanical Modeling and Pre-Operative Projection of A Human Organ using an Augmented Reality Technique During Open Hepatic Surgery",
"abstract": "Augmented Reality (AR) technology offers innovative ways in order to visualize and manipulate a 3D model of an object by superimposing computer-generated images onto another object interactively. The ability to interact with digital and spatial information in real-time offers new opportunities to manipulate and process medical data easily and efficiently. During surgical interventions, surgeons face various challenges dealing with digital patient data. Several methods are used to visualize the operative areas, such as fluoroscopy and ultrasound techniques. These techniques have several limitations. Thus, the augmented reality technique could serve as a better alternative to project a three-dimensional model of the target organ into the surgeon's perspective and field of view to improve the accuracy and efficiency of the medical intervention intraoperatively. In this paper, a new AR method is proposed in order to visualize and simulate the biomechanical model of the liver organ during open hepatic surgery. In this regard, the 3D model based on the patient's preoperative CT scans is first reconstructed. Then, the reconstructed model is projected using the AR headset. After that, the biomechanical model is generated and prepared for the simulation. The proposed approach is validated using acquired CT scans of the human organ.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Augmented Reality (AR) technology offers innovative ways in order to visualize and manipulate a 3D model of an object by superimposing computer-generated images onto another object interactively. The ability to interact with digital and spatial information in real-time offers new opportunities to manipulate and process medical data easily and efficiently. During surgical interventions, surgeons face various challenges dealing with digital patient data. Several methods are used to visualize the operative areas, such as fluoroscopy and ultrasound techniques. These techniques have several limitations. Thus, the augmented reality technique could serve as a better alternative to project a three-dimensional model of the target organ into the surgeon's perspective and field of view to improve the accuracy and efficiency of the medical intervention intraoperatively. In this paper, a new AR method is proposed in order to visualize and simulate the biomechanical model of the liver organ during open hepatic surgery. In this regard, the 3D model based on the patient's preoperative CT scans is first reconstructed. Then, the reconstructed model is projected using the AR headset. After that, the biomechanical model is generated and prepared for the simulation. The proposed approach is validated using acquired CT scans of the human organ.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Augmented Reality (AR) technology offers innovative ways in order to visualize and manipulate a 3D model of an object by superimposing computer-generated images onto another object interactively. The ability to interact with digital and spatial information in real-time offers new opportunities to manipulate and process medical data easily and efficiently. During surgical interventions, surgeons face various challenges dealing with digital patient data. Several methods are used to visualize the operative areas, such as fluoroscopy and ultrasound techniques. These techniques have several limitations. Thus, the augmented reality technique could serve as a better alternative to project a three-dimensional model of the target organ into the surgeon's perspective and field of view to improve the accuracy and efficiency of the medical intervention intraoperatively. In this paper, a new AR method is proposed in order to visualize and simulate the biomechanical model of the liver organ during open hepatic surgery. In this regard, the 3D model based on the patient's preoperative CT scans is first reconstructed. Then, the reconstructed model is projected using the AR headset. After that, the biomechanical model is generated and prepared for the simulation. The proposed approach is validated using acquired CT scans of the human organ.",
"fno": "900700a446",
"keywords": [
"Augmented Reality",
"Biomechanics",
"Biomedical Optical Imaging",
"Computerised Tomography",
"Diagnostic Radiography",
"Image Registration",
"Liver",
"Medical Image Processing",
"Surgery",
"Augmented Reality Technique",
"Augmented Reality Technology",
"Biomechanical Model",
"Biomechanical Modeling",
"Computer Generated Images",
"Digital Information",
"Digital Patient Data",
"Fluoroscopy",
"Human Organ",
"Innovative Ways",
"Liver Organ",
"Medical Data",
"Medical Intervention",
"Open Hepatic Surgery",
"Operative Areas",
"Pre Operative Projection",
"Reconstructed Model",
"Spatial Information",
"Surgeon",
"Surgical Interventions",
"Target Organ",
"Three Dimensional Model",
"Ultrasound Techniques",
"Biomechanics",
"Solid Modeling",
"Three Dimensional Displays",
"Biological System Modeling",
"Computed Tomography",
"Surgery",
"Biological Systems",
"Augmented Reality",
"3 D Modeling",
"Medical Intervention",
"Open Hepatic Surgery",
"Biomechanical Model",
"CT Scans",
"Human Organ"
],
"authors": [
{
"affiliation": "University of Sousse, LATIS, ENISo,Sousse,Tunisia,4023",
"fullName": "Aicha Ben Makhlouf",
"givenName": "Aicha Ben",
"surname": "Makhlouf",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Sousse, ISSATSo,Sousse,Tunisia,4003",
"fullName": "Anass Ayed",
"givenName": "Anass",
"surname": "Ayed",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Sfax, SETIT, ISBS,Sfax,Tunisia,3000",
"fullName": "Nessrine Elloumi",
"givenName": "Nessrine",
"surname": "Elloumi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Sousse, LMS, ENISo,Sousse,Tunisia,4023",
"fullName": "Borhen Louhichi",
"givenName": "Borhen",
"surname": "Louhichi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Sahloul University Hospital,Sousse,Tunisia,4011",
"fullName": "Mehdi Jaidane",
"givenName": "Mehdi",
"surname": "Jaidane",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Universidade do Porto,Faculdade de Engenharia,Departamento de Engenharia Mecânica,Porto,Portugal",
"fullName": "João Manuel Rs Tavares",
"givenName": "João Manuel",
"surname": "Rs Tavares",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-07-01T00:00:00",
"pubType": "proceedings",
"pages": "446-450",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-9007-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "900700a442",
"articleId": "1KaH0Cb2h9K",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "900700a451",
"articleId": "1KaGZmN4xxe",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ismar/2013/2869/0/06671780",
"title": "Image-guided simulation of heterogeneous tissue deformation for augmented reality during hepatic surgery",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2013/06671780/12OmNAtK4hi",
"parentPublication": {
"id": "proceedings/ismar/2013/2869/0",
"title": "2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itcs/2009/3688/2/3688b242",
"title": "Predicting Soft Tissue Deformation Based on an Improved Biomechanical Model",
"doi": null,
"abstractUrl": "/proceedings-article/itcs/2009/3688b242/12OmNCmGO1k",
"parentPublication": {
"id": "proceedings/itcs/2009/3688/2",
"title": "Information Technology and Computer Science, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aipr/2011/0215/0/06176345",
"title": "Organ localization through anatomy-aware non-rigid registration with atlas",
"doi": null,
"abstractUrl": "/proceedings-article/aipr/2011/06176345/12OmNyo1nYK",
"parentPublication": {
"id": "proceedings/aipr/2011/0215/0",
"title": "2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/th/2015/01/06952926",
"title": "Multiscale Layered Biomechanical Model of the Pacinian Corpuscle",
"doi": null,
"abstractUrl": "/journal/th/2015/01/06952926/13rRUwIF6e0",
"parentPublication": {
"id": "trans/th",
"title": "IEEE Transactions on Haptics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06876050",
"title": "MovExp: A Versatile Visualization Tool for Human-Computer Interaction Studies with 3D Performance and Biomechanical Data",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06876050/13rRUxDqS8j",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2015/05/06987340",
"title": "Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery",
"doi": null,
"abstractUrl": "/journal/tg/2015/05/06987340/13rRUyuegp8",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmbs/2022/6770/0/677000a125",
"title": "Graph-based Regional Feature Enhancing for Abdominal Multi-Organ Segmentation in CT",
"doi": null,
"abstractUrl": "/proceedings-article/cmbs/2022/677000a125/1GhW3JPmO6A",
"parentPublication": {
"id": "proceedings/cmbs/2022/6770/0",
"title": "2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2022/9007/0/900700a442",
"title": "Preoperative Image Segmentation for Organ Visualization Using Augmented Reality Technology During Open Liver Surgery",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2022/900700a442/1KaH0Cb2h9K",
"parentPublication": {
"id": "proceedings/iv/2022/9007/0",
"title": "2022 26th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222085",
"title": "Visualization of Human Spine Biomechanics for Spinal Surgery",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222085/1nTqvP5vNXW",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2022/10/09497733",
"title": "AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?",
"doi": null,
"abstractUrl": "/journal/tp/2022/10/09497733/1vzYccnMXni",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1xsdDk9ztT2",
"title": "2021 Annual Modeling and Simulation Conference (ANNSIM)",
"acronym": "annsim",
"groupId": "1831925",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1xsdGFTFU4w",
"doi": "10.23919/ANNSIM52504.2021.9552048",
"title": "Towards Applications of the “Surgical GPS” on Spinal Procedures",
"normalizedTitle": "Towards Applications of the “Surgical GPS” on Spinal Procedures",
"abstract": "Surgical data science (SDS) and computer-assisted surgery (CAS) are becoming increasingly conventional as more physicians incorporate surgical navigation systems into their workflows. Consequently, the necessity for enhanced anatomical structure depictions during intraoperative surgical guidance is also increasing. Anatomically accurate musculoskeletal representations are particularly necessary for orthopedic operations, especially spinal procedures. Additionally, CAS system recognition of clinically relevant structures along surgical corridors is of equal importance; such recognition permits intraoperative guidance when procedures are supervised by surgical process models (SPMs). Therefore, this study outlines a comprehensive solution, termed the “Surgical GPS”, which merges patient-specific, ligamentoskeletal models and physician-designated landmarks and ontologies, to expand spinal anatomy representations and demonstrate SPM applications toward several spine procedures. Patient models are validated with Dice similarity coefficient and Hausdorff distance metrics. Anatomical landmarks are queried from SPMs using pertinent search engines and are highlighted on the patient models, potentially enhancing successful surgical outcomes through context-aware, “GPS” guided CAS.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Surgical data science (SDS) and computer-assisted surgery (CAS) are becoming increasingly conventional as more physicians incorporate surgical navigation systems into their workflows. Consequently, the necessity for enhanced anatomical structure depictions during intraoperative surgical guidance is also increasing. Anatomically accurate musculoskeletal representations are particularly necessary for orthopedic operations, especially spinal procedures. Additionally, CAS system recognition of clinically relevant structures along surgical corridors is of equal importance; such recognition permits intraoperative guidance when procedures are supervised by surgical process models (SPMs). Therefore, this study outlines a comprehensive solution, termed the “Surgical GPS”, which merges patient-specific, ligamentoskeletal models and physician-designated landmarks and ontologies, to expand spinal anatomy representations and demonstrate SPM applications toward several spine procedures. Patient models are validated with Dice similarity coefficient and Hausdorff distance metrics. Anatomical landmarks are queried from SPMs using pertinent search engines and are highlighted on the patient models, potentially enhancing successful surgical outcomes through context-aware, “GPS” guided CAS.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Surgical data science (SDS) and computer-assisted surgery (CAS) are becoming increasingly conventional as more physicians incorporate surgical navigation systems into their workflows. Consequently, the necessity for enhanced anatomical structure depictions during intraoperative surgical guidance is also increasing. Anatomically accurate musculoskeletal representations are particularly necessary for orthopedic operations, especially spinal procedures. Additionally, CAS system recognition of clinically relevant structures along surgical corridors is of equal importance; such recognition permits intraoperative guidance when procedures are supervised by surgical process models (SPMs). Therefore, this study outlines a comprehensive solution, termed the “Surgical GPS”, which merges patient-specific, ligamentoskeletal models and physician-designated landmarks and ontologies, to expand spinal anatomy representations and demonstrate SPM applications toward several spine procedures. Patient models are validated with Dice similarity coefficient and Hausdorff distance metrics. Anatomical landmarks are queried from SPMs using pertinent search engines and are highlighted on the patient models, potentially enhancing successful surgical outcomes through context-aware, “GPS” guided CAS.",
"fno": "09552048",
"keywords": [
"Bone",
"Medical Computing",
"Ontologies Artificial Intelligence",
"Orthopaedics",
"Search Engines",
"Surgery",
"Ubiquitous Computing",
"Context Aware",
"Pertinent Search Engines",
"Hausdorff Distance Metrics",
"Dice Similarity Coefficient",
"Patient Specific Ligamentoskeletal Models",
"Surgical Data Science",
"Musculoskeletal Representations",
"Anatomical Structure Depictions",
"Spine Procedures",
"SPM Applications",
"Spinal Anatomy Representations",
"Ontologies",
"Physician Designated Landmarks",
"Surgical Process Models",
"Intraoperative Guidance",
"Surgical Corridors",
"Clinically Relevant Structures",
"CAS System Recognition",
"Orthopedic Operations",
"Intraoperative Surgical Guidance",
"Surgical Navigation Systems",
"Computer Assisted Surgery",
"Spinal Procedures",
"Surgical GPS",
"Surgical Outcomes",
"Anatomical Landmarks",
"Patient Models",
"Deformable Models",
"Solid Modeling",
"Navigation",
"Computational Modeling",
"Spine",
"Biological Tissues",
"Surgery",
"Computer Assisted Surgery",
"Automatic Deformable Registration",
"Patient Specific Navigation",
"Orthopedic Surgical Process Models",
"Ontologies"
],
"authors": [
{
"affiliation": "Biomedical Engineering Institute Computational Modeling and Simulation Engineering Old Dominion University,Norfolk,VA,USA",
"fullName": "Austin Tapp",
"givenName": "Austin",
"surname": "Tapp",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Biomedical Engineering Institute Computational Modeling and Simulation Engineering Old Dominion University,Norfolk,VA,USA",
"fullName": "Michel Audette",
"givenName": "Michel",
"surname": "Audette",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "College of Arts and Sciences Neuroscience The College of William and Mary,Williamsburg,VA,USA",
"fullName": "Ava Maghouli",
"givenName": "Ava",
"surname": "Maghouli",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "annsim",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-07-01T00:00:00",
"pubType": "proceedings",
"pages": "1-12",
"year": "2021",
"issn": null,
"isbn": "978-1-56555-375-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09552167",
"articleId": "1xsdIwQmMOk",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09552058",
"articleId": "1xsdIPjZPMI",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/m2vip/1997/8025/0/80250057",
"title": "Research on innovative mechatronic tools and systems for surgical procedures involving soft tissues",
"doi": null,
"abstractUrl": "/proceedings-article/m2vip/1997/80250057/12OmNvonIKv",
"parentPublication": {
"id": "proceedings/m2vip/1997/8025/0",
"title": "Mechatronics and Machine Vision in Practice, Annual Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2015/9548/0/9548a496",
"title": "Learning the Structure of Surgical Procedures from Operative Notes",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2015/9548a496/12OmNwDSdop",
"parentPublication": {
"id": "proceedings/ichi/2015/9548/0",
"title": "2015 International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/rvsp/2011/4581/0/4581a190",
"title": "Safety Design and Control Algorithm for Robotic Spinal Surgical System",
"doi": null,
"abstractUrl": "/proceedings-article/rvsp/2011/4581a190/12OmNxQOjHo",
"parentPublication": {
"id": "proceedings/rvsp/2011/4581/0",
"title": "International Conference on Robot, Vision and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sbec/2016/2132/0/07459036",
"title": "A Novel Distractive and Mobility-Enabling Lumbar Spinal Orthosis",
"doi": null,
"abstractUrl": "/proceedings-article/sbec/2016/07459036/12OmNxxNbWL",
"parentPublication": {
"id": "proceedings/sbec/2016/2132/0",
"title": "2016 32nd Southern Biomedical Engineering Conference (SBEC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2015/9548/0/9548a223",
"title": "The Role of Semantic and Discourse Information in Learning the Structure of Surgical Procedures",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2015/9548a223/12OmNzC5T4W",
"parentPublication": {
"id": "proceedings/ichi/2015/9548/0",
"title": "2015 International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sitis/2022/6495/0/649500a330",
"title": "Detecting Spinal Alignment Through Depth Image",
"doi": null,
"abstractUrl": "/proceedings-article/sitis/2022/649500a330/1MeoGRJPDq0",
"parentPublication": {
"id": "proceedings/sitis/2022/6495/0",
"title": "2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2021/03/09112351",
"title": "Augmented Reality and Virtual Reality Transforming Spinal Imaging Landscape: A Feasibility Study",
"doi": null,
"abstractUrl": "/magazine/cg/2021/03/09112351/1kwiMGwOmTC",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/springsim/2020/370/0/09185412",
"title": "“Surgical Gps” Proof of Concept for Scoliosis Surgery",
"doi": null,
"abstractUrl": "/proceedings-article/springsim/2020/09185412/1mP63bCGUjm",
"parentPublication": {
"id": "proceedings/springsim/2020/370/0",
"title": "2020 Spring Simulation Conference (SpringSim)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222085",
"title": "Visualization of Human Spine Biomechanics for Spinal Surgery",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222085/1nTqvP5vNXW",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2021/4509/0/450900j517",
"title": "Towards Unified Surgical Skill Assessment",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2021/450900j517/1yeJPNahaj6",
"parentPublication": {
"id": "proceedings/cvpr/2021/4509/0",
"title": "2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzXFowe",
"title": "2012 IEEE 12th International Conference on Data Mining Workshops",
"acronym": "icdmw",
"groupId": "1001620",
"volume": "0",
"displayVolume": "0",
"year": "2012",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNAR1aSl",
"doi": "10.1109/ICDMW.2012.93",
"title": "Adapting Surgical Models to Individual Hospitals Using Transfer Learning",
"normalizedTitle": "Adapting Surgical Models to Individual Hospitals Using Transfer Learning",
"abstract": "Preoperative models to assess surgical mortality are important clinical tools in determining optimal patient care. The traditional approach to develop these models has been primarily centralized, i.e., it uses surgical case records aggregated across multiple hospitals. While this approach of pooling greatly increases the data size, the resulting models fail to reflect individual variations across hospitals in terms of patients and the delivery of care. We hypothesize that this process can be improved through adapting the multi-hospital data model to an individual hospital. This approach simultaneously leverages the large multi-hospital data and the patient-and-case mix at individual hospitals. We explore transfer learning to refine surgical models for individual hospitals in the framework of support vector machine by using data from both the National Surgical Quality Improvement Program and a single hospital. Our results show that transferring models trained on multi-hospital data to an individual hospital significantly improves discrimination for surgical mortality at the individual provider level.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Preoperative models to assess surgical mortality are important clinical tools in determining optimal patient care. The traditional approach to develop these models has been primarily centralized, i.e., it uses surgical case records aggregated across multiple hospitals. While this approach of pooling greatly increases the data size, the resulting models fail to reflect individual variations across hospitals in terms of patients and the delivery of care. We hypothesize that this process can be improved through adapting the multi-hospital data model to an individual hospital. This approach simultaneously leverages the large multi-hospital data and the patient-and-case mix at individual hospitals. We explore transfer learning to refine surgical models for individual hospitals in the framework of support vector machine by using data from both the National Surgical Quality Improvement Program and a single hospital. Our results show that transferring models trained on multi-hospital data to an individual hospital significantly improves discrimination for surgical mortality at the individual provider level.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Preoperative models to assess surgical mortality are important clinical tools in determining optimal patient care. The traditional approach to develop these models has been primarily centralized, i.e., it uses surgical case records aggregated across multiple hospitals. While this approach of pooling greatly increases the data size, the resulting models fail to reflect individual variations across hospitals in terms of patients and the delivery of care. We hypothesize that this process can be improved through adapting the multi-hospital data model to an individual hospital. This approach simultaneously leverages the large multi-hospital data and the patient-and-case mix at individual hospitals. We explore transfer learning to refine surgical models for individual hospitals in the framework of support vector machine by using data from both the National Surgical Quality Improvement Program and a single hospital. Our results show that transferring models trained on multi-hospital data to an individual hospital significantly improves discrimination for surgical mortality at the individual provider level.",
"fno": "4925a057",
"keywords": [
"Surgery",
"Data Models",
"Hospitals",
"Adaptation Models",
"Mathematical Model",
"Training",
"Equations",
"Transfer Learning",
"Surgical Model",
"Preoperative Model",
"Support Vector Machines"
],
"authors": [
{
"affiliation": null,
"fullName": "Gyemin Lee",
"givenName": "Gyemin",
"surname": "Lee",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Ilan Rubinfeld",
"givenName": "Ilan",
"surname": "Rubinfeld",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Zeeshan Syed",
"givenName": "Zeeshan",
"surname": "Syed",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icdmw",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2012-12-01T00:00:00",
"pubType": "proceedings",
"pages": "57-63",
"year": "2012",
"issn": null,
"isbn": "978-1-4673-5164-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4925a049",
"articleId": "12OmNz4SODF",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4925a064",
"articleId": "12OmNqFa5ph",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/asiajcis/2015/1989/0/1989a085",
"title": "Privacy-Preserving Epidemiological Analysis for a Distributed Database of Hospitals",
"doi": null,
"abstractUrl": "/proceedings-article/asiajcis/2015/1989a085/12OmNwFid2w",
"parentPublication": {
"id": "proceedings/asiajcis/2015/1989/0",
"title": "2015 10th Asia Joint Conference on Information Security (AsiaJCIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dsaa/2016/5206/0/07796931",
"title": "Detecting Inaccurate Predictions of Pediatric Surgical Durations",
"doi": null,
"abstractUrl": "/proceedings-article/dsaa/2016/07796931/12OmNxFsmJC",
"parentPublication": {
"id": "proceedings/dsaa/2016/5206/0",
"title": "2016 IEEE 3rd International Conference on Data Science and Advanced Analytics (DSAA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccit/2008/3407/1/3407a974",
"title": "Surgical Telementoring Initiation of a Regional Telemedicine Network: Projection of Surgical Expertise in the WWAMI Region",
"doi": null,
"abstractUrl": "/proceedings-article/iccit/2008/3407a974/12OmNxVV5V7",
"parentPublication": {
"id": "iccit/2008/3407/1",
"title": "Convergence Information Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigdata-congress/2015/7278/0/07207237",
"title": "Risk-Adjusted Monitoring Method for Surgical Data: Methodology for Data Analytics (Work in Progress)",
"doi": null,
"abstractUrl": "/proceedings-article/bigdata-congress/2015/07207237/12OmNxwENvg",
"parentPublication": {
"id": "proceedings/bigdata-congress/2015/7278/0",
"title": "2015 IEEE International Congress on Big Data (BigData Congress)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2016/5670/0/5670b517",
"title": "Improving Technology Investment Decisions at Hospitals through System Dynamics and Decision Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2016/5670b517/12OmNyQGS8F",
"parentPublication": {
"id": "proceedings/hicss/2016/5670/0",
"title": "2016 49th Hawaii International Conference on System Sciences (HICSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wsc/2006/0500/0/04117636",
"title": "The use of Simulation to Determine Maximum Capacity in the Surgical Suite Operating Room",
"doi": null,
"abstractUrl": "/proceedings-article/wsc/2006/04117636/12OmNz2kqku",
"parentPublication": {
"id": "proceedings/wsc/2006/0500/0",
"title": "2006 Winter Simulation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/case/2011/1732/0/06042473",
"title": "Resource allocation for healthcare organizations",
"doi": null,
"abstractUrl": "/proceedings-article/case/2011/06042473/12OmNzSQdoD",
"parentPublication": {
"id": "proceedings/case/2011/1732/0",
"title": "2011 IEEE International Conference on Automation Science and Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2011/9618/0/05718927",
"title": "RFID-Embedded Decision Support for Tracking Surgical Equipment",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2011/05718927/12OmNzd7bUo",
"parentPublication": {
"id": "proceedings/hicss/2011/9618/0",
"title": "2011 44th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/1996/01/mcg1996010046",
"title": "Assessing Craniofacial Surgical Simulation",
"doi": null,
"abstractUrl": "/magazine/cg/1996/01/mcg1996010046/13rRUy0ZzUT",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2022/8402/0/840200a410",
"title": "Towards Virtual Teaching Hospitals for Advanced Surgical Training",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2022/840200a410/1CJetJYrF3q",
"parentPublication": {
"id": "proceedings/vrw/2022/8402/0",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqIhFQ1",
"title": "2015 Second European Network Intelligence Conference (ENIC)",
"acronym": "enic",
"groupId": "1804885",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNAsk4AA",
"doi": "10.1109/ENIC.2015.30",
"title": "Contact Networks and the Spread of MRSA in Stockholm Hospitals",
"normalizedTitle": "Contact Networks and the Spread of MRSA in Stockholm Hospitals",
"abstract": "We have been studying the spread of meticillin (multi) resistant Staphylococcus Aureus (MRSA). In the course of these studies, we investigated information about all patient visits within Stockholm County during the outbreak period, with registry over all diagnosed MRSA cases. As part of this project, we developed methods for analyzing the contact network of persons who had visited the same care facility, as well as methods for analyzing the affects of network structure on the transmission of MRSA. We also studied matrixes of disease transition in hospital populations (infected patients vs. Merely contagious patients). In the stationary case: (a) we have estimator matrixes of probabilities and other statistical properties of the contact networks. In the time evolution case: (b) we divided the outbreak into smaller, periodic intervals and looked at how MRSA spread over time. The MCqMC (Markov chain quasi Monte Carlo) method and artificial networks (whose main parameter is the number of contacts during a specific time interval) help us to understand real and simulated-paths of disease transition. Probability matrices (b) were used to find the mechanism of change states (vectors of all population, 0-susceptible or 1-infected).",
"abstracts": [
{
"abstractType": "Regular",
"content": "We have been studying the spread of meticillin (multi) resistant Staphylococcus Aureus (MRSA). In the course of these studies, we investigated information about all patient visits within Stockholm County during the outbreak period, with registry over all diagnosed MRSA cases. As part of this project, we developed methods for analyzing the contact network of persons who had visited the same care facility, as well as methods for analyzing the affects of network structure on the transmission of MRSA. We also studied matrixes of disease transition in hospital populations (infected patients vs. Merely contagious patients). In the stationary case: (a) we have estimator matrixes of probabilities and other statistical properties of the contact networks. In the time evolution case: (b) we divided the outbreak into smaller, periodic intervals and looked at how MRSA spread over time. The MCqMC (Markov chain quasi Monte Carlo) method and artificial networks (whose main parameter is the number of contacts during a specific time interval) help us to understand real and simulated-paths of disease transition. Probability matrices (b) were used to find the mechanism of change states (vectors of all population, 0-susceptible or 1-infected).",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We have been studying the spread of meticillin (multi) resistant Staphylococcus Aureus (MRSA). In the course of these studies, we investigated information about all patient visits within Stockholm County during the outbreak period, with registry over all diagnosed MRSA cases. As part of this project, we developed methods for analyzing the contact network of persons who had visited the same care facility, as well as methods for analyzing the affects of network structure on the transmission of MRSA. We also studied matrixes of disease transition in hospital populations (infected patients vs. Merely contagious patients). In the stationary case: (a) we have estimator matrixes of probabilities and other statistical properties of the contact networks. In the time evolution case: (b) we divided the outbreak into smaller, periodic intervals and looked at how MRSA spread over time. The MCqMC (Markov chain quasi Monte Carlo) method and artificial networks (whose main parameter is the number of contacts during a specific time interval) help us to understand real and simulated-paths of disease transition. Probability matrices (b) were used to find the mechanism of change states (vectors of all population, 0-susceptible or 1-infected).",
"fno": "7592a150",
"keywords": [
"Hospitals",
"Diseases",
"Mathematical Model",
"Sociology",
"Probability",
"Statistics",
"Social Networks Analysis",
"Epidemiological Modelling",
"Healthcare Associated Infections"
],
"authors": [
{
"affiliation": null,
"fullName": "Andrzej Jarynowski",
"givenName": "Andrzej",
"surname": "Jarynowski",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Fredrik Liljeros",
"givenName": "Fredrik",
"surname": "Liljeros",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "enic",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-09-01T00:00:00",
"pubType": "proceedings",
"pages": "150-154",
"year": "2015",
"issn": null,
"isbn": "978-1-4673-7592-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "7592a145",
"articleId": "12OmNwp74yw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "7592a155",
"articleId": "12OmNx8wTmn",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ichi/2013/5089/0/5089a121",
"title": "Evaluating Strategies for Pandemic Response in Delhi Using Realistic Social Networks",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2013/5089a121/12OmNwbukd5",
"parentPublication": {
"id": "proceedings/ichi/2013/5089/0",
"title": "2013 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ccgrid/2017/6611/0/07973759",
"title": "Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks",
"doi": null,
"abstractUrl": "/proceedings-article/ccgrid/2017/07973759/12OmNwe2IyL",
"parentPublication": {
"id": "proceedings/ccgrid/2017/6611/0",
"title": "2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wimob/2016/0724/0/07763193",
"title": "Infection tracing in smart hospitals",
"doi": null,
"abstractUrl": "/proceedings-article/wimob/2016/07763193/12OmNynsbAE",
"parentPublication": {
"id": "proceedings/wimob/2016/0724/0",
"title": "2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cgames/2015/7921/0/07272972",
"title": "Transforming BrowserQuest into an epidemiological tool for modelling disease dissemination",
"doi": null,
"abstractUrl": "/proceedings-article/cgames/2015/07272972/12OmNzxPTN1",
"parentPublication": {
"id": "proceedings/cgames/2015/7921/0",
"title": "2015 Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games (CGAMES)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/2017/08/07558120",
"title": "Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare",
"doi": null,
"abstractUrl": "/journal/tp/2017/08/07558120/13rRUwjXZL1",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ex/2013/06/mex2013060060",
"title": "Tracking Infectious Disease Spread for Global Pandemic Containment",
"doi": null,
"abstractUrl": "/magazine/ex/2013/06/mex2013060060/13rRUx0Pqx3",
"parentPublication": {
"id": "mags/ex",
"title": "IEEE Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ec/2015/03/07029011",
"title": "Modeling Epidemics Spreading on Social Contact Networks",
"doi": null,
"abstractUrl": "/journal/ec/2015/03/07029011/13rRUzpQPHy",
"parentPublication": {
"id": "trans/ec",
"title": "IEEE Transactions on Emerging Topics in Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669663",
"title": "A Semantic Framework for Secure and Efficient Contact Tracing of Infectious Diseases",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669663/1A9WjMeuWyI",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asonam/2022/5661/0/10068686",
"title": "Quarantine in Motion: A Graph Learning Framework to Reduce Disease Transmission Without Lockdown",
"doi": null,
"abstractUrl": "/proceedings-article/asonam/2022/10068686/1LKx2S41yBa",
"parentPublication": {
"id": "proceedings/asonam/2022/5661/0",
"title": "2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09286903",
"title": "In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09286903/1por2UO3Q4M",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzBOibV",
"title": "1983 The Seventh Annual Symposium on Computer Applications in Medical Care",
"acronym": "scamc",
"groupId": "1000122",
"volume": "0",
"displayVolume": "0",
"year": "1983",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNB8TU4Y",
"doi": "10.1109/SCAMC.1983.764716",
"title": "Using drgs to conduct utilization review in naval hospitals",
"normalizedTitle": "Using drgs to conduct utilization review in naval hospitals",
"abstract": "To study length of stay practices within large hospital systems such as the Navy Medical Department, one must be able to identify groups of patients that are clinically homogeneous with respect to length of stay. This study compares the Diagnosis Related Group (DRG) patient grouping technique with traditional grouping techniques based on patient primary diagnosis code for each method's ability to explain differences in patient length of stay in naval hospitals.",
"abstracts": [
{
"abstractType": "Regular",
"content": "To study length of stay practices within large hospital systems such as the Navy Medical Department, one must be able to identify groups of patients that are clinically homogeneous with respect to length of stay. This study compares the Diagnosis Related Group (DRG) patient grouping technique with traditional grouping techniques based on patient primary diagnosis code for each method's ability to explain differences in patient length of stay in naval hospitals.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "To study length of stay practices within large hospital systems such as the Navy Medical Department, one must be able to identify groups of patients that are clinically homogeneous with respect to length of stay. This study compares the Diagnosis Related Group (DRG) patient grouping technique with traditional grouping techniques based on patient primary diagnosis code for each method's ability to explain differences in patient length of stay in naval hospitals.",
"fno": "00764716",
"keywords": [
"Hospitals",
"Surgery",
"Diseases",
"Medical Diagnostic Imaging",
"Medical Treatment",
"Patient Monitoring",
"Research And Development Management",
"Resource Management",
"Quality Assurance",
"Government"
],
"authors": [
{
"affiliation": "Research Department, Naval School of Health Sciences, Bethesda, Maryland",
"fullName": "T.L. Kay",
"givenName": "T.L.",
"surname": "Kay",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "scamc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "1983-01-01T00:00:00",
"pubType": "proceedings",
"pages": "599,600,601,602",
"year": "1983",
"issn": null,
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "00764715",
"articleId": "12OmNro0Ico",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "00764717",
"articleId": "12OmNBtCCHQ",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cbms/2010/9167/0/06042636",
"title": "Using mixed phase-type distributions to model patient pathways",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2010/06042636/12OmNAkEU2j",
"parentPublication": {
"id": "proceedings/cbms/2010/9167/0",
"title": "2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wsc/1993/1381/0/00718381",
"title": "Multi-Hospital Validation of Critical Care Simulation Model",
"doi": null,
"abstractUrl": "/proceedings-article/wsc/1993/00718381/12OmNvUaNgu",
"parentPublication": {
"id": "proceedings/wsc/1993/1381/0",
"title": "Proceedings of 1993 Winter Simulation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2008/3165/0/04562050",
"title": "A Gaussian Mixture Model Approach to Grouping Patients According to their Hospital Length of Stay",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2008/04562050/12OmNwx3Qd8",
"parentPublication": {
"id": "proceedings/cbms/2008/3165/0",
"title": "2008 21st IEEE International Symposium on Computer-Based Medical Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/case/2011/1732/0/06042470",
"title": "Modeling and analysis of care delivery services within patient rooms",
"doi": null,
"abstractUrl": "/proceedings-article/case/2011/06042470/12OmNx57HQt",
"parentPublication": {
"id": "proceedings/case/2011/1732/0",
"title": "2011 IEEE International Conference on Automation Science and Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisis/2009/3575/0/3575a955",
"title": "Modelling Medical Time and Expertise. Example of the Hospital Stay Duration in",
"doi": null,
"abstractUrl": "/proceedings-article/cisis/2009/3575a955/12OmNxFJXGA",
"parentPublication": {
"id": "proceedings/cisis/2009/3575/0",
"title": "2009 International Conference on Complex, Intelligent and Software Intensive Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2008/3165/0/3165a536",
"title": "A Random Effects Sensitivity Analysis for Patient Pathways Model",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2008/3165a536/12OmNxI0KyC",
"parentPublication": {
"id": "proceedings/cbms/2008/3165/0",
"title": "2008 21st IEEE International Symposium on Computer-Based Medical Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdh/2022/8149/0/814900a175",
"title": "MultiGRehab: Developing a Multimodal Biosignals Acquisition and Analysis Framework for Personalizing Stroke and Cardiac Rehabilitation based on Adaptive Serious Games",
"doi": null,
"abstractUrl": "/proceedings-article/icdh/2022/814900a175/1G6jIeHOgbS",
"parentPublication": {
"id": "proceedings/icdh/2022/8149/0",
"title": "2022 IEEE International Conference on Digital Health (ICDH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2022/6845/0/684500a545",
"title": "Machine Learning Models To Predict Length Of Stay In Hospitals",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2022/684500a545/1GvdscIsB2g",
"parentPublication": {
"id": "proceedings/ichi/2022/6845/0",
"title": "2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09005657",
"title": "A Machine Learning Approach for Prediction of Length of Stay for the Kid’s Inpatient Database",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09005657/1hJsiPDxftS",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378117",
"title": "Predicting Clinical Deterioration in Hospitals",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378117/1s64YzCb6OA",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqBtiE6",
"title": "2008 21st IEEE International Symposium on Computer-Based Medical Systems",
"acronym": "cbms",
"groupId": "1000153",
"volume": "0",
"displayVolume": "0",
"year": "2008",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxI0KyC",
"doi": "10.1109/CBMS.2008.49",
"title": "A Random Effects Sensitivity Analysis for Patient Pathways Model",
"normalizedTitle": "A Random Effects Sensitivity Analysis for Patient Pathways Model",
"abstract": "In this paper, we present a random effects approach to modelling of patient pathways with an application to the neonatal unit of a large metropolitan hospital. This approach could be used to identify pathways such as those resulting in high probabilities of death/survival, and to estimate cost of care or length of stay. Patient-specific discharge probabilities could also be predicted as a function of the random effect. We also investigate the sensitivity of our modelling results to random effects distribution assumptions.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper, we present a random effects approach to modelling of patient pathways with an application to the neonatal unit of a large metropolitan hospital. This approach could be used to identify pathways such as those resulting in high probabilities of death/survival, and to estimate cost of care or length of stay. Patient-specific discharge probabilities could also be predicted as a function of the random effect. We also investigate the sensitivity of our modelling results to random effects distribution assumptions.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper, we present a random effects approach to modelling of patient pathways with an application to the neonatal unit of a large metropolitan hospital. This approach could be used to identify pathways such as those resulting in high probabilities of death/survival, and to estimate cost of care or length of stay. Patient-specific discharge probabilities could also be predicted as a function of the random effect. We also investigate the sensitivity of our modelling results to random effects distribution assumptions.",
"fno": "3165a536",
"keywords": [
"Patient Flow",
"Pathways",
"Random Effects",
"Neonatal"
],
"authors": [
{
"affiliation": null,
"fullName": "Shola Adeyemi",
"givenName": "Shola",
"surname": "Adeyemi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Thierry J. Chaussalet",
"givenName": "Thierry J.",
"surname": "Chaussalet",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cbms",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2008-06-01T00:00:00",
"pubType": "proceedings",
"pages": "536-538",
"year": "2008",
"issn": "1063-7125",
"isbn": "978-0-7695-3165-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3165a518",
"articleId": "12OmNrH1PA6",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3165a539",
"articleId": "12OmNzVXNVG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cbms/2010/9167/0/06042636",
"title": "Using mixed phase-type distributions to model patient pathways",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2010/06042636/12OmNAkEU2j",
"parentPublication": {
"id": "proceedings/cbms/2010/9167/0",
"title": "2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2008/3165/0/3165a449",
"title": "Personalizing Patient Education Using Internet Health Resources and EPR Data: Pilot Evaluation of the STEPPS Prototype System",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2008/3165a449/12OmNAtK4lw",
"parentPublication": {
"id": "proceedings/cbms/2008/3165/0",
"title": "2008 21st IEEE International Symposium on Computer-Based Medical Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wsc/2006/0500/0/04117799",
"title": "Simulation and Verification for Computational Modelling of Signalling Pathways",
"doi": null,
"abstractUrl": "/proceedings-article/wsc/2006/04117799/12OmNrIJqE6",
"parentPublication": {
"id": "proceedings/wsc/2006/0500/0",
"title": "2006 Winter Simulation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2007/2905/0/29050713",
"title": "Using Markov Models to Find Interesting Patient Pathways",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2007/29050713/12OmNvnwVia",
"parentPublication": {
"id": "proceedings/cbms/2007/2905/0",
"title": "Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/etelemed/2009/3532/0/3532a036",
"title": "SEMPATH: Semantic Adaptive and Personalized Clinical Pathways",
"doi": null,
"abstractUrl": "/proceedings-article/etelemed/2009/3532a036/12OmNwcl7zE",
"parentPublication": {
"id": "proceedings/etelemed/2009/3532/0",
"title": "eHealth, Telemedicine, and Social Medicine, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2008/3165/0/3165a512",
"title": "Optimal Control of Patient Admissions to Satisfy Resource Restrictions",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2008/3165a512/12OmNxcdFXV",
"parentPublication": {
"id": "proceedings/cbms/2008/3165/0",
"title": "2008 21st IEEE International Symposium on Computer-Based Medical Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2012/4525/0/4525c790",
"title": "A Method for Modeling Health Informatics Capacity in Patient Journeys Supported by Interprofessional Teams",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2012/4525c790/12OmNyGbIe5",
"parentPublication": {
"id": "proceedings/hicss/2012/4525/0",
"title": "2012 45th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pci/2009/3788/0/3788a125",
"title": "SEMPATH: Adapting Clinical Pathways by Utilizing Semantic Technologies",
"doi": null,
"abstractUrl": "/proceedings-article/pci/2009/3788a125/12OmNz5s0T4",
"parentPublication": {
"id": "proceedings/pci/2009/3788/0",
"title": "2009 13th Panhellenic Conference on Informatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbi/2019/0650/1/065001a075",
"title": "Application of Modern Data Analysis Methods to Cluster the Clinical Pathways in Urban Medical Facilities",
"doi": null,
"abstractUrl": "/proceedings-article/cbi/2019/065001a075/1cI6v0GhMTm",
"parentPublication": {
"id": "cbi/2019/0650/1",
"title": "2019 IEEE 21st Conference on Business Informatics (CBI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09286903",
"title": "In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09286903/1por2UO3Q4M",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzUPpvk",
"title": "2010 IEEE International Conference on Data Mining Workshops",
"acronym": "icdmw",
"groupId": "1001620",
"volume": "0",
"displayVolume": "0",
"year": "2010",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyvGymA",
"doi": "10.1109/ICDMW.2010.193",
"title": "BODY -- Buckets of Disease Symptoms for Disease Outbreak Analysis",
"normalizedTitle": "BODY -- Buckets of Disease Symptoms for Disease Outbreak Analysis",
"abstract": "Active day-to-day analysis of hospital record entries can help alert possible disease outbreaks. Such information could help health authorities in planning prevention and minimizing the influence of the disease outbreak. Given a set of hospital entry records of patients, we developed a toolkit named BODY to analyse the data - historical and current - to present insights into disease outbreak patterns and abnormal patterns in symptom incidences. From the analysis, we aim to predict a possible outbreak of diseases detailing symptoms, time zones and mortality rates. We illustrate BODY's utility on the VAST 2010 Challenge Data containing hospital data entries from 11 cities across the world.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Active day-to-day analysis of hospital record entries can help alert possible disease outbreaks. Such information could help health authorities in planning prevention and minimizing the influence of the disease outbreak. Given a set of hospital entry records of patients, we developed a toolkit named BODY to analyse the data - historical and current - to present insights into disease outbreak patterns and abnormal patterns in symptom incidences. From the analysis, we aim to predict a possible outbreak of diseases detailing symptoms, time zones and mortality rates. We illustrate BODY's utility on the VAST 2010 Challenge Data containing hospital data entries from 11 cities across the world.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Active day-to-day analysis of hospital record entries can help alert possible disease outbreaks. Such information could help health authorities in planning prevention and minimizing the influence of the disease outbreak. Given a set of hospital entry records of patients, we developed a toolkit named BODY to analyse the data - historical and current - to present insights into disease outbreak patterns and abnormal patterns in symptom incidences. From the analysis, we aim to predict a possible outbreak of diseases detailing symptoms, time zones and mortality rates. We illustrate BODY's utility on the VAST 2010 Challenge Data containing hospital data entries from 11 cities across the world.",
"fno": "4257a442",
"keywords": [
"Data Analytics",
"Visual Analytics",
"Medical Data"
],
"authors": [
{
"affiliation": null,
"fullName": "Hanisha Veeramachaneni",
"givenName": "Hanisha",
"surname": "Veeramachaneni",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Soujanya Vadapalli",
"givenName": "Soujanya",
"surname": "Vadapalli",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Kamalakar Karlapalem",
"givenName": "Kamalakar",
"surname": "Karlapalem",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icdmw",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2010-12-01T00:00:00",
"pubType": "proceedings",
"pages": "442-449",
"year": "2010",
"issn": null,
"isbn": "978-0-7695-4257-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4257a434",
"articleId": "12OmNqC2uZh",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4257a450",
"articleId": "12OmNApLGs3",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/artcom/2009/3845/0/3845a506",
"title": "Real-time Early Infectious Outbreak Detection Systems Using Emerging Technologies",
"doi": null,
"abstractUrl": "/proceedings-article/artcom/2009/3845a506/12OmNB9t6uc",
"parentPublication": {
"id": "proceedings/artcom/2009/3845/0",
"title": "Advances in Recent Technologies in Communication and Computing, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2017/1710/0/1710a636",
"title": "Disease-Based Clustering of Hospital Admission: Disease Network of Hospital Networks Approach",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2017/1710a636/12OmNx4gUxH",
"parentPublication": {
"id": "proceedings/cbms/2017/1710/0",
"title": "2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2015/8493/0/8493a124",
"title": "Understanding the Impact of Socio-Economic and Environmental Factors for Disease Outbreak in Developing Countries",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2015/8493a124/12OmNxzuMJZ",
"parentPublication": {
"id": "proceedings/icdmw/2015/8493/0",
"title": "2015 IEEE International Conference on Data Mining Workshop (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2016/9005/0/07840726",
"title": "Network analysis for identifying and characterizing disease outbreak influence from voluminous epidemiology data",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2016/07840726/12OmNy1SFQk",
"parentPublication": {
"id": "proceedings/big-data/2016/9005/0",
"title": "2016 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2010/04/ttk2010040565",
"title": "Prospective Infectious Disease Outbreak Detection Using Markov Switching Models",
"doi": null,
"abstractUrl": "/journal/tk/2010/04/ttk2010040565/13rRUIJuxvE",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2009/03/mcg2009030018",
"title": "Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques",
"doi": null,
"abstractUrl": "/magazine/cg/2009/03/mcg2009030018/13rRUxBrGjm",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2021/3902/0/09671841",
"title": "Integrating Heterogeneous Data for a Multi-disease Outbreak Detection Framework",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2021/09671841/1A8j9KN0nPW",
"parentPublication": {
"id": "proceedings/big-data/2021/3902/0",
"title": "2021 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09286903",
"title": "In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09286903/1por2UO3Q4M",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mdm/2021/2845/0/284500a236",
"title": "A Large-scale Disease Outbreak Analytics System based on Wi-Fi Session Logs",
"doi": null,
"abstractUrl": "/proceedings-article/mdm/2021/284500a236/1v2Qy3ydPuo",
"parentPublication": {
"id": "proceedings/mdm/2021/2845/0",
"title": "2021 22nd IEEE International Conference on Mobile Data Management (MDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vahc/2021/2067/0/206700a025",
"title": "Towards a Comprehensive Cohort Visualization of Patients with Inflammatory Bowel Disease",
"doi": null,
"abstractUrl": "/proceedings-article/vahc/2021/206700a025/1z0ylIsUKze",
"parentPublication": {
"id": "proceedings/vahc/2021/2067/0",
"title": "2021 IEEE Workshop on Visual Analytics in Healthcare (VAHC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAle6y4",
"title": "2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC)",
"acronym": "vahc",
"groupId": "1826204",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzcPAKL",
"doi": "10.1109/VAHC.2017.8387494",
"title": "Patient-provider geographic map: An interactive visualization tool of patients' selection of health care providers",
"normalizedTitle": "Patient-provider geographic map: An interactive visualization tool of patients' selection of health care providers",
"abstract": "Advanced data visualization tools have the potential to transform raw healthcare data into actionable insights that improve patient care. This paper introduces a visualization framework to aid healthcare policy-makers and hospital administrators to visualize, identify, and optimize the geographic variations of access to care. The Patient-Provider Geographic Map provides multiple concurrent interactive choropleth maps with the capabilities of also filtering and displaying aggregated patient and provider layers. It allows users to collaborate and explore health care providers' catchment area, and the accessibility for local residents. Ideally, users interact with several interactive visualizations concurrently in a large-scale immersive environment. This unique approach enables non-technically oriented stakeholders a data immersion experience that greatly increases their comfort levels with data-driven decision making.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Advanced data visualization tools have the potential to transform raw healthcare data into actionable insights that improve patient care. This paper introduces a visualization framework to aid healthcare policy-makers and hospital administrators to visualize, identify, and optimize the geographic variations of access to care. The Patient-Provider Geographic Map provides multiple concurrent interactive choropleth maps with the capabilities of also filtering and displaying aggregated patient and provider layers. It allows users to collaborate and explore health care providers' catchment area, and the accessibility for local residents. Ideally, users interact with several interactive visualizations concurrently in a large-scale immersive environment. This unique approach enables non-technically oriented stakeholders a data immersion experience that greatly increases their comfort levels with data-driven decision making.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Advanced data visualization tools have the potential to transform raw healthcare data into actionable insights that improve patient care. This paper introduces a visualization framework to aid healthcare policy-makers and hospital administrators to visualize, identify, and optimize the geographic variations of access to care. The Patient-Provider Geographic Map provides multiple concurrent interactive choropleth maps with the capabilities of also filtering and displaying aggregated patient and provider layers. It allows users to collaborate and explore health care providers' catchment area, and the accessibility for local residents. Ideally, users interact with several interactive visualizations concurrently in a large-scale immersive environment. This unique approach enables non-technically oriented stakeholders a data immersion experience that greatly increases their comfort levels with data-driven decision making.",
"fno": "08387494",
"keywords": [
"Data Visualization",
"Hospitals",
"Stakeholders",
"Visual Analytics",
"Medical Diagnostic Imaging",
"Tools",
"Healthcare Data",
"Geospatial Visualization",
"Decision Support",
"Medicaid",
"Access To Care"
],
"authors": [
{
"affiliation": "Stevens Institute of Technology",
"fullName": "Zhongyuan Yu",
"givenName": "Zhongyuan",
"surname": "Yu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Stevens Institute of Technology",
"fullName": "Kara Pepe",
"givenName": "Kara",
"surname": "Pepe",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Florida State University",
"fullName": "George Rust",
"givenName": "George",
"surname": "Rust",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Stevens Institute of Technology",
"fullName": "Jose Emmanuel Ramirez-Marquez",
"givenName": "Jose Emmanuel",
"surname": "Ramirez-Marquez",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Morehouse School of Medicine",
"fullName": "Shun Zhang",
"givenName": "Shun",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Stevens Institute of Technology",
"fullName": "Bryan Bonnet",
"givenName": "Bryan",
"surname": "Bonnet",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vahc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-8",
"year": "2017",
"issn": null,
"isbn": "978-1-5386-3187-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08387493",
"articleId": "12OmNzZWbSj",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08387495",
"articleId": "12OmNy50gc3",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/vahc/2017/3187/0/08387499",
"title": "Visual analytics for evaluating clinical pathways",
"doi": null,
"abstractUrl": "/proceedings-article/vahc/2017/08387499/12OmNAle6wG",
"parentPublication": {
"id": "proceedings/vahc/2017/3187/0",
"title": "2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/collaboratecom/2010/2/0/05767030",
"title": "Patient-Centric Privacy: Envisioning collaboration between payers, providers & patients with the patient at the core",
"doi": null,
"abstractUrl": "/proceedings-article/collaboratecom/2010/05767030/12OmNB8CiWC",
"parentPublication": {
"id": "proceedings/collaboratecom/2010/2/0",
"title": "2010 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2010)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2013/5089/0/5089a153",
"title": "Put a Face to a Name: Providing Hospital Patients with Photographs of Their Care-Team Members May Improve Patient-Clinician Communication and Increase Overall Patient Satisfaction",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2013/5089a153/12OmNrAv3Vc",
"parentPublication": {
"id": "proceedings/ichi/2013/5089/0",
"title": "2013 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacmedtek/1998/8667/0/86670362",
"title": "A Qualitative Assessment of Patient and Provider Satisfaction with New Implementation of a Telemedicine System",
"doi": null,
"abstractUrl": "/proceedings-article/pacmedtek/1998/86670362/12OmNrH1PBn",
"parentPublication": {
"id": "proceedings/pacmedtek/1998/8667/0",
"title": "Pacific Medical Technology Symposium",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2016/6117/0/6117a102",
"title": "Linking Patient Alone Time and Provider Time to Staffing Levels and LOS at the Emergency Department: A RFID Based Study",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2016/6117a102/12OmNrK9q1q",
"parentPublication": {
"id": "proceedings/ichi/2016/6117/0",
"title": "2016 IEEE International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2015/7367/0/7367d227",
"title": "Mobile Access for Patient Centered Care: The Challenges of Activating Knowledge through Health Information Technology",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2015/7367d227/12OmNvHY2Hs",
"parentPublication": {
"id": "proceedings/hicss/2015/7367/0",
"title": "2015 48th Hawaii International Conference on System Sciences (HICSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mlds/2017/3446/0/3446a106",
"title": "Patient Journey Visualizer: A Tool for Visualizing Patient Journeys",
"doi": null,
"abstractUrl": "/proceedings-article/mlds/2017/3446a106/12OmNyv7miy",
"parentPublication": {
"id": "proceedings/mlds/2017/3446/0",
"title": "2017 International Conference on Machine learning and Data Science (MLDS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aicis/2018/9188/0/918800a023",
"title": "Facilitating Patient Registrations Using an Integrating Healthcare Management System",
"doi": null,
"abstractUrl": "/proceedings-article/aicis/2018/918800a023/17PYElVL3mI",
"parentPublication": {
"id": "proceedings/aicis/2018/9188/0",
"title": "2018 1st Annual International Conference on Information and Sciences (AiCIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/oj/2021/01/09328319",
"title": "Multi-View Deep Learning Framework for Predicting Patient Expenditure in Healthcare",
"doi": null,
"abstractUrl": "/journal/oj/2021/01/09328319/1qutNt4CiiI",
"parentPublication": {
"id": "trans/oj",
"title": "IEEE Open Journal of the Computer Society",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2021/3335/0/333500a151",
"title": "ConVIScope: Visual Analytics for Exploring Patient Conversations",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2021/333500a151/1yXul7EUtuE",
"parentPublication": {
"id": "proceedings/vis/2021/3335/0",
"title": "2021 IEEE Visualization Conference (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1s645BaTzVu",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"acronym": "big-data",
"groupId": "1802964",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1s64YzCb6OA",
"doi": "10.1109/BigData50022.2020.9378117",
"title": "Predicting Clinical Deterioration in Hospitals",
"normalizedTitle": "Predicting Clinical Deterioration in Hospitals",
"abstract": "Responding rapidly to a patient who is demonstrating signs of imminent clinical deterioration is a basic tenet of patient care. This gave rise to a patient safety intervention philosophy known as a Rapid Response System (RRS), whereby a patient who meets a pre-determined set of criteria for imminent clinical deterioration is immediately assessed and treated, with the goal of mitigating the deterioration and preventing intensive care unit (ICU) transfer, cardiac arrest, or death. While RRSs have been widely adopted, multiple systematic reviews have failed to find evidence of their effectiveness. Typically, RRS criteria are simple, expert (consensus) defined rules that identify significant physiologic abnormalities or are based on clinical observation.If one can find a pattern in the patient's data earlier than the onset of the physiologic derangement manifest in the current criteria, intervention strategies might be more effective. In this paper, we apply machine learning to electronic medical records (EMR) to infer if patients are at risk for clinical deterioration. Our models are more sensitive and offer greater advance prediction time compared with existing rule-based methods that are currently utilized in hospitals.Our results warrant further testing in the field; i f successful, hospitals can integrate our approach into their existing IT systems and use the alerts generated by the model to prevent ICU transfer, cardiac arrest, or death, or to reduce the ICU length of stay.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Responding rapidly to a patient who is demonstrating signs of imminent clinical deterioration is a basic tenet of patient care. This gave rise to a patient safety intervention philosophy known as a Rapid Response System (RRS), whereby a patient who meets a pre-determined set of criteria for imminent clinical deterioration is immediately assessed and treated, with the goal of mitigating the deterioration and preventing intensive care unit (ICU) transfer, cardiac arrest, or death. While RRSs have been widely adopted, multiple systematic reviews have failed to find evidence of their effectiveness. Typically, RRS criteria are simple, expert (consensus) defined rules that identify significant physiologic abnormalities or are based on clinical observation.If one can find a pattern in the patient's data earlier than the onset of the physiologic derangement manifest in the current criteria, intervention strategies might be more effective. In this paper, we apply machine learning to electronic medical records (EMR) to infer if patients are at risk for clinical deterioration. Our models are more sensitive and offer greater advance prediction time compared with existing rule-based methods that are currently utilized in hospitals.Our results warrant further testing in the field; i f successful, hospitals can integrate our approach into their existing IT systems and use the alerts generated by the model to prevent ICU transfer, cardiac arrest, or death, or to reduce the ICU length of stay.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Responding rapidly to a patient who is demonstrating signs of imminent clinical deterioration is a basic tenet of patient care. This gave rise to a patient safety intervention philosophy known as a Rapid Response System (RRS), whereby a patient who meets a pre-determined set of criteria for imminent clinical deterioration is immediately assessed and treated, with the goal of mitigating the deterioration and preventing intensive care unit (ICU) transfer, cardiac arrest, or death. While RRSs have been widely adopted, multiple systematic reviews have failed to find evidence of their effectiveness. Typically, RRS criteria are simple, expert (consensus) defined rules that identify significant physiologic abnormalities or are based on clinical observation.If one can find a pattern in the patient's data earlier than the onset of the physiologic derangement manifest in the current criteria, intervention strategies might be more effective. In this paper, we apply machine learning to electronic medical records (EMR) to infer if patients are at risk for clinical deterioration. Our models are more sensitive and offer greater advance prediction time compared with existing rule-based methods that are currently utilized in hospitals.Our results warrant further testing in the field; i f successful, hospitals can integrate our approach into their existing IT systems and use the alerts generated by the model to prevent ICU transfer, cardiac arrest, or death, or to reduce the ICU length of stay.",
"fno": "09378117",
"keywords": [
"Electronic Health Records",
"Health Care",
"Hospitals",
"Learning Artificial Intelligence",
"Patient Care",
"Hospitals",
"Patient Care",
"Patient Safety Intervention Philosophy",
"Rapid Response System",
"Cardiac Arrest",
"Multiple Systematic Reviews",
"RRS Criteria",
"Expert Defined Rules",
"Physiologic Abnormalities",
"Clinical Observation",
"Rule Based Methods",
"Imminent Clinical Deterioration Prediction",
"Intensive Care Unit Transfer",
"ICU Transfer",
"Electronic Medical Records",
"EMR",
"IT Systems",
"Systematics",
"Hospitals",
"Cardiac Arrest",
"Big Data",
"Predictive Models",
"Physiology",
"Testing",
"Healthcare Big Data Analytics",
"Patient Safety",
"Clinical Deterioration",
"Machine Learning"
],
"authors": [
{
"affiliation": "Hitachi America, Ltd.,Santa Clara,CA,USA",
"fullName": "Laleh Jalali",
"givenName": "Laleh",
"surname": "Jalali",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hitachi America, Ltd.,Santa Clara,CA,USA",
"fullName": "Hsiu-Khuern Tang",
"givenName": "Hsiu-Khuern",
"surname": "Tang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hitachi America, Ltd.,Santa Clara,CA,USA",
"fullName": "Richard H. Goldstein",
"givenName": "Richard H.",
"surname": "Goldstein",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hitachi America, Ltd.,Santa Clara,CA,USA",
"fullName": "Joaquín Álvarez Rodríguez",
"givenName": "Joaquín",
"surname": "Álvarez Rodríguez",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "big-data",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-12-01T00:00:00",
"pubType": "proceedings",
"pages": "3744-3752",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-6251-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09378090",
"articleId": "1s64fuH9DB6",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09377981",
"articleId": "1s64nNN98XK",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdmw/2011/4409/0/4409b042",
"title": "Medical Data Mining for Early Deterioration Warning in General Hospital Wards",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2011/4409b042/12OmNqBtj4l",
"parentPublication": {
"id": "proceedings/icdmw/2011/4409/0",
"title": "2011 IEEE 11th International Conference on Data Mining Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwcdm/2011/4585/0/4585a129",
"title": "Symbolic Dynamics Analysis of Pathological Signals",
"doi": null,
"abstractUrl": "/proceedings-article/iwcdm/2011/4585a129/12OmNrkBwtY",
"parentPublication": {
"id": "proceedings/iwcdm/2011/4585/0",
"title": "Complexity and Data Mining, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/case/2012/0430/0/06386403",
"title": "Analysis of hospital rapid response protocols using simulation",
"doi": null,
"abstractUrl": "/proceedings-article/case/2012/06386403/12OmNvzJG3S",
"parentPublication": {
"id": "proceedings/case/2012/0430/0",
"title": "2012 IEEE International Conference on Automation Science and Engineering (CASE 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/taai/2018/1229/0/122900a001",
"title": "Using Machine Learning Algorithms in Medication for Cardiac Arrest Early Warning System Construction and Forecasting",
"doi": null,
"abstractUrl": "/proceedings-article/taai/2018/122900a001/17D45X2fUEO",
"parentPublication": {
"id": "proceedings/taai/2018/1229/0",
"title": "2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669829",
"title": "Predicting Multidrug Resistance Using Temporal Clinical Data and Machine Learning Methods",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669829/1A9VGZQoRGw",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669464",
"title": "REWOC: Remote Early Warning of Out-of-ICU Crashes in COVID Care Areas using IoT Device",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669464/1A9VdBZa51e",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2022/6845/0/684500a192",
"title": "EventScore: An Automated Real-time Early Warning Score for Clinical Events",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2022/684500a192/1GvdEerfGGQ",
"parentPublication": {
"id": "proceedings/ichi/2022/6845/0",
"title": "2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2022/6845/0/684500a502",
"title": "Decompensation Prediction for Hospitalized COVID-19 Patients",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2022/684500a502/1GvdKyKB2De",
"parentPublication": {
"id": "proceedings/ichi/2022/6845/0",
"title": "2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2019/1867/0/08983177",
"title": "Predicting intensive care outcomes in traumatic brain injury using heart rate variability measures with feature extraction strategies",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2019/08983177/1hguhFZYC5y",
"parentPublication": {
"id": "proceedings/bibm/2019/1867/0",
"title": "2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2020/9429/0/942900a321",
"title": "A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2020/942900a321/1mLMlYbwZvq",
"parentPublication": {
"id": "proceedings/cbms/2020/9429/0",
"title": "2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yXu6NL4pqw",
"title": "2021 IEEE Visualization Conference (VIS)",
"acronym": "vis",
"groupId": "1001944",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yXul7EUtuE",
"doi": "10.1109/VIS49827.2021.9623269",
"title": "ConVIScope: Visual Analytics for Exploring Patient Conversations",
"normalizedTitle": "ConVIScope: Visual Analytics for Exploring Patient Conversations",
"abstract": "The proliferation of text messaging for mobile health is generating a large amount of patient-doctor conversations that can be extremely valuable to health care professionals. We present ConVIScope, a visual text analytic system that tightly integrates interactive visualization with natural language processing in analyzing patient-doctor conversations. ConVIScope was developed in collaboration with healthcare professionals following a user-centered iterative design. Case studies with six domain experts suggest the potential utility of ConVIScope and reveal lessons for further developments.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The proliferation of text messaging for mobile health is generating a large amount of patient-doctor conversations that can be extremely valuable to health care professionals. We present ConVIScope, a visual text analytic system that tightly integrates interactive visualization with natural language processing in analyzing patient-doctor conversations. ConVIScope was developed in collaboration with healthcare professionals following a user-centered iterative design. Case studies with six domain experts suggest the potential utility of ConVIScope and reveal lessons for further developments.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The proliferation of text messaging for mobile health is generating a large amount of patient-doctor conversations that can be extremely valuable to health care professionals. We present ConVIScope, a visual text analytic system that tightly integrates interactive visualization with natural language processing in analyzing patient-doctor conversations. ConVIScope was developed in collaboration with healthcare professionals following a user-centered iterative design. Case studies with six domain experts suggest the potential utility of ConVIScope and reveal lessons for further developments.",
"fno": "333500a151",
"keywords": [
"Data Visualisation",
"Health Care",
"Interactive Systems",
"Medical Information Systems",
"Mobile Computing",
"Natural Language Interfaces",
"Natural Language Processing",
"Text Analysis",
"Visual Text Analytic System",
"Interactive Visualization",
"Natural Language Processing",
"Patient Doctor Conversations",
"Con VI Scope",
"Healthcare Professionals",
"Mobile Health",
"Text Messaging",
"Visual Analytics",
"Design Methodology",
"Conferences",
"Collaboration",
"Medical Services",
"Natural Language Processing",
"Electronic Messaging",
"Human Centered Computing",
"Visualization",
"Visualization Design And Evaluation Methods"
],
"authors": [
{
"affiliation": "University of British,Department of Computer Science,Columbia",
"fullName": "Raymond Li",
"givenName": "Raymond",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "York University,School of Information Technology",
"fullName": "Enamul Hoque",
"givenName": "Enamul",
"surname": "Hoque",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of British,Department of Computer Science,Columbia",
"fullName": "Giuseppe Carenini",
"givenName": "Giuseppe",
"surname": "Carenini",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of British,Department of Medicine,Columbia",
"fullName": "Richard Lester",
"givenName": "Richard",
"surname": "Lester",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of British,Department of Medicine,Columbia",
"fullName": "Raymond Chau",
"givenName": "Raymond",
"surname": "Chau",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-10-01T00:00:00",
"pubType": "proceedings",
"pages": "151-155",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3335-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1yXukVYw9y0",
"name": "pvis202133350-09623269s1-mm_333500a151.zip",
"size": "28.7 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pvis202133350-09623269s1-mm_333500a151.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "333500a146",
"articleId": "1yXulmujdNC",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "333500a156",
"articleId": "1yXudtjcVMc",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/pacificvis/2014/2874/0/2874a342",
"title": "Visual Analytics of Malignant Blood Flow for Medical Professionals",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2014/2874a342/12OmNALUozU",
"parentPublication": {
"id": "proceedings/pacificvis/2014/2874/0",
"title": "2014 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vahc/2017/3187/0/08387499",
"title": "Visual analytics for evaluating clinical pathways",
"doi": null,
"abstractUrl": "/proceedings-article/vahc/2017/08387499/12OmNAle6wG",
"parentPublication": {
"id": "proceedings/vahc/2017/3187/0",
"title": "2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2013/4892/0/4892c416",
"title": "Visual Analytics for Public Health: Supporting Knowledge Construction and Decision-Making",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2013/4892c416/12OmNrJiCNq",
"parentPublication": {
"id": "proceedings/hicss/2013/4892/0",
"title": "2013 46th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hicss/2012/4525/0/4525b855",
"title": "Applied Visual Analytics for Exploring the National Health and Nutrition Examination Survey",
"doi": null,
"abstractUrl": "/proceedings-article/hicss/2012/4525b855/12OmNviZllM",
"parentPublication": {
"id": "proceedings/hicss/2012/4525/0",
"title": "2012 45th Hawaii International Conference on System Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vahc/2017/3187/0/08387545",
"title": "Visual analytics for radiomics: Combining medical imaging with patient data for clinical research",
"doi": null,
"abstractUrl": "/proceedings-article/vahc/2017/08387545/12OmNwdL7ku",
"parentPublication": {
"id": "proceedings/vahc/2017/3187/0",
"title": "2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08019833",
"title": "Applying Pragmatics Principles for Interaction with Visual Analytics",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08019833/13rRUNvgz9X",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2016/01/07192683",
"title": "VisOHC: Designing Visual Analytics for Online Health Communities",
"doi": null,
"abstractUrl": "/journal/tg/2016/01/07192683/13rRUxBa567",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2022/8812/0/881200a055",
"title": "Visualizing Rule-based Classifiers for Clinical Risk Prognosis",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2022/881200a055/1J6h7XhAuMo",
"parentPublication": {
"id": "proceedings/vis/2022/8812/0",
"title": "2022 IEEE Visualization and Visual Analytics (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09286903",
"title": "In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09286903/1por2UO3Q4M",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vahc/2021/2067/0/206700a030",
"title": "A Multi-Scale Visual Analytics Approach for Exploring Biomedical Knowledge",
"doi": null,
"abstractUrl": "/proceedings-article/vahc/2021/206700a030/1z0ykZQLK0w",
"parentPublication": {
"id": "proceedings/vahc/2021/2067/0",
"title": "2021 IEEE Workshop on Visual Analytics in Healthcare (VAHC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNs0kyrq",
"title": "2006 Winter Simulation Conference",
"acronym": "wsc",
"groupId": "1000674",
"volume": "0",
"displayVolume": "0",
"year": "2006",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNB836Sl",
"doi": "10.1109/WSC.2006.322939",
"title": "Modeling and Analysis of Biological Processes by Mem(Brane) Calculi and Systems",
"normalizedTitle": "Modeling and Analysis of Biological Processes by Mem(Brane) Calculi and Systems",
"abstract": "In recent years, the modeling and analysis techniques developed in the area of formal languages and of concurrent process calculi have been successfully applied to the field of systems biology. In this setting, brane calculi and membrane systems are two of the most prominent approaches for the modeling of the behaviour of biological membranes. Membrane systems have been introduced by Gh. Paun as a class of distributed parallel computing devices of a biochemical type, while brane calculi are a family of process calculi, based on a set of biologically inspired primitives of membrane interaction. In this paper we model the behaviour of a biological process - namely, the LDL cholesterol degradation pathway - in both brane calculi and membrane systems. We also provide a brief discussion on the application of analysis techniques to this case study",
"abstracts": [
{
"abstractType": "Regular",
"content": "In recent years, the modeling and analysis techniques developed in the area of formal languages and of concurrent process calculi have been successfully applied to the field of systems biology. In this setting, brane calculi and membrane systems are two of the most prominent approaches for the modeling of the behaviour of biological membranes. Membrane systems have been introduced by Gh. Paun as a class of distributed parallel computing devices of a biochemical type, while brane calculi are a family of process calculi, based on a set of biologically inspired primitives of membrane interaction. In this paper we model the behaviour of a biological process - namely, the LDL cholesterol degradation pathway - in both brane calculi and membrane systems. We also provide a brief discussion on the application of analysis techniques to this case study",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In recent years, the modeling and analysis techniques developed in the area of formal languages and of concurrent process calculi have been successfully applied to the field of systems biology. In this setting, brane calculi and membrane systems are two of the most prominent approaches for the modeling of the behaviour of biological membranes. Membrane systems have been introduced by Gh. Paun as a class of distributed parallel computing devices of a biochemical type, while brane calculi are a family of process calculi, based on a set of biologically inspired primitives of membrane interaction. In this paper we model the behaviour of a biological process - namely, the LDL cholesterol degradation pathway - in both brane calculi and membrane systems. We also provide a brief discussion on the application of analysis techniques to this case study",
"fno": "04117797",
"keywords": [
"Biology Computing",
"Biomembranes",
"Formal Languages",
"Parallel Programming",
"Process Algebra",
"Formal Languages",
"Concurrent Process Calculi",
"Systems Biology",
"Membrane Systems",
"Brane Calculi",
"Biological Membranes",
"Distributed Parallel Computing",
"Biochemical Type",
"LDL Cholesterol Degradation Pathway",
"Biological System Modeling",
"Biological Processes",
"Biomembranes",
"Calculus",
"Degradation",
"Cells Biology",
"Systems Biology",
"Parallel Processing",
"Computational Modeling",
"Computer Science"
],
"authors": [
{
"affiliation": "Department of Computer Science, University of Bologna, 40127 Bologna, ITALY. e-mail: busi@cs.unibo.it",
"fullName": "Nadia Busi",
"givenName": "Nadia",
"surname": "Busi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Informatics, Systems and Communication, University of Milano-Bicocca, 20126 Milano, ITALY. e-mail: zandron@disco.unimib.it",
"fullName": "Claudio Zandron",
"givenName": "Claudio",
"surname": "Zandron",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "wsc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2006-12-01T00:00:00",
"pubType": "proceedings",
"pages": "1646-1655",
"year": "2006",
"issn": "0891-7736",
"isbn": "1-4244-0500-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "04117781",
"articleId": "12OmNAWH9zQ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04117782",
"articleId": "12OmNvTBB4M",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/case/2007/1153/0/04341650",
"title": "Iterative Control Approach to High-Speed Force-Distance Curve Measurement Using AFM for Biological Applications",
"doi": null,
"abstractUrl": "/proceedings-article/case/2007/04341650/12OmNANBZqo",
"parentPublication": {
"id": "proceedings/case/2007/1153/0",
"title": "3rd Annual IEEE Conference on Automation Science and Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hibi/2009/3809/0/3809a105",
"title": "A Parallel Plasma Membrane Simulation",
"doi": null,
"abstractUrl": "/proceedings-article/hibi/2009/3809a105/12OmNAYGlo5",
"parentPublication": {
"id": "proceedings/hibi/2009/3809/0",
"title": "2009 International Workshop on High Performance Computational Systems Biology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2008/2174/0/04761750",
"title": "Identification of phosphorylation sites using a hybrid classifier ensemble approach",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2008/04761750/12OmNqFrGMI",
"parentPublication": {
"id": "proceedings/icpr/2008/2174/0",
"title": "ICPR 2008 19th International Conference on Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fbie/2008/3561/0/3561a329",
"title": "The Effect of Solanine on the Membrane Potential of Mitochondria in HepG2 Cells and [Ca^2+]i in the Cells",
"doi": null,
"abstractUrl": "/proceedings-article/fbie/2008/3561a329/12OmNwcCITN",
"parentPublication": {
"id": "proceedings/fbie/2008/3561/0",
"title": "2008 International Seminar on Future Biomedical Information Engineering (FBIE 2008)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibmw/2010/8303/0/05703802",
"title": "Process Calculi for Systems Biology and applications in severe asthma",
"doi": null,
"abstractUrl": "/proceedings-article/bibmw/2010/05703802/12OmNwtn3vi",
"parentPublication": {
"id": "proceedings/bibmw/2010/8303/0",
"title": "2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isspit/2015/0481/0/07394367",
"title": "The mechanism of splitting mitochondria in terms of membrane automata",
"doi": null,
"abstractUrl": "/proceedings-article/isspit/2015/07394367/12OmNx2QUMz",
"parentPublication": {
"id": "proceedings/isspit/2015/0481/0",
"title": "2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acsd/2013/5035/0/5035a180",
"title": "A Parametric Tool for Applied Process Calculi",
"doi": null,
"abstractUrl": "/proceedings-article/acsd/2013/5035a180/12OmNxXUhVM",
"parentPublication": {
"id": "proceedings/acsd/2013/5035/0",
"title": "2013 13th International Conference on Application of Concurrency to System Design (ACSD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/case/2007/1153/0/04341855",
"title": "Iterative Control Approach to High-Speed Force-Distance Curve Measurement Using AFM for Biological Applications",
"doi": null,
"abstractUrl": "/proceedings-article/case/2007/04341855/12OmNyen1sc",
"parentPublication": {
"id": "proceedings/case/2007/1153/0",
"title": "3rd Annual IEEE Conference on Automation Science and Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibe/2016/3834/0/3834a186",
"title": "Multiscale Meshfree Analysis of the Effects of Thermal Treatments on Deformability of Red Blood Cell Membrane",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2016/3834a186/12OmNzcPAz2",
"parentPublication": {
"id": "proceedings/bibe/2016/3834/0",
"title": "2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2016/04/07229308",
"title": "Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets",
"doi": null,
"abstractUrl": "/journal/tb/2016/04/07229308/13rRUxC0SuG",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxFaLqm",
"title": "2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)",
"acronym": "isspit",
"groupId": "1001026",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNx2QUMz",
"doi": "10.1109/ISSPIT.2015.7394367",
"title": "The mechanism of splitting mitochondria in terms of membrane automata",
"normalizedTitle": "The mechanism of splitting mitochondria in terms of membrane automata",
"abstract": "Bio-inspired models of computation are systems influenced by the functioning of biological systems. The mitochondrial membrane structure contains two distinct compartments separated by membranes, which act as separators and as channels of communication between compartments. Mitochondria have been observed to go through frequent fusion and fission. The balance between these opposing processes regulates mitochondrial morphology and is crucial for cell development, disease and apoptosis. The use of automata theory in the framework of Bioinformatics is widely studied. In this work we attempt to describe in a novel way a mitochondrial fission process based on membrane automata. We make use of notions from brane calculus and we present an abstracted model of the mechanisms that contribute to this biological phenomenon.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Bio-inspired models of computation are systems influenced by the functioning of biological systems. The mitochondrial membrane structure contains two distinct compartments separated by membranes, which act as separators and as channels of communication between compartments. Mitochondria have been observed to go through frequent fusion and fission. The balance between these opposing processes regulates mitochondrial morphology and is crucial for cell development, disease and apoptosis. The use of automata theory in the framework of Bioinformatics is widely studied. In this work we attempt to describe in a novel way a mitochondrial fission process based on membrane automata. We make use of notions from brane calculus and we present an abstracted model of the mechanisms that contribute to this biological phenomenon.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Bio-inspired models of computation are systems influenced by the functioning of biological systems. The mitochondrial membrane structure contains two distinct compartments separated by membranes, which act as separators and as channels of communication between compartments. Mitochondria have been observed to go through frequent fusion and fission. The balance between these opposing processes regulates mitochondrial morphology and is crucial for cell development, disease and apoptosis. The use of automata theory in the framework of Bioinformatics is widely studied. In this work we attempt to describe in a novel way a mitochondrial fission process based on membrane automata. We make use of notions from brane calculus and we present an abstracted model of the mechanisms that contribute to this biological phenomenon.",
"fno": "07394367",
"keywords": [
"Biomembranes",
"Automata",
"Computational Modeling",
"Biological System Modeling",
"Proteins",
"Biological Systems"
],
"authors": [
{
"affiliation": "Department of Informatics, Ionian University, Corfu, Greece",
"fullName": "Georgia Theocharopoulou",
"givenName": "Georgia",
"surname": "Theocharopoulou",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Informatics, Ionian University, Corfu, Greece",
"fullName": "Konstantinos Giannakis",
"givenName": "Konstantinos",
"surname": "Giannakis",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Informatics, Ionian University, Corfu, Greece",
"fullName": "Theodore Andronikos",
"givenName": "Theodore",
"surname": "Andronikos",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "isspit",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-12-01T00:00:00",
"pubType": "proceedings",
"pages": "397-402",
"year": "2015",
"issn": null,
"isbn": "978-1-5090-0481-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07394366",
"articleId": "12OmNrJiCO2",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07394368",
"articleId": "12OmNvzJG1s",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/isdea/2013/4893/0/06454635",
"title": "Adverse Effect of H2O2 Change on Morphology, Mitochondrial Membrane Permeability and Antioxidant Enzyme in Root of Dianthus Chinensis L under Salt Stress",
"doi": null,
"abstractUrl": "/proceedings-article/isdea/2013/06454635/12OmNAS9zMc",
"parentPublication": {
"id": "proceedings/isdea/2013/4893/0",
"title": "2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA 2013)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hibi/2009/3809/0/3809a105",
"title": "A Parallel Plasma Membrane Simulation",
"doi": null,
"abstractUrl": "/proceedings-article/hibi/2009/3809a105/12OmNAYGlo5",
"parentPublication": {
"id": "proceedings/hibi/2009/3809/0",
"title": "2009 International Workshop on High Performance Computational Systems Biology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibe/2015/7983/0/07367696",
"title": "Structural properties of the outer membrane of Gram-negative bacteria",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2015/07367696/12OmNzC5TdE",
"parentPublication": {
"id": "proceedings/bibe/2015/7983/0",
"title": "2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2016/05/07327157",
"title": "Prediction the Substrate Specificities of Membrane Transport Proteins Based on Support Vector Machine and Hybrid Features",
"doi": null,
"abstractUrl": "/journal/tb/2016/05/07327157/13rRUwIF6ju",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08019859",
"title": "Instant Construction and Visualization of Crowded Biological Environments",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08019859/13rRUwcAqqm",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2016/04/07229308",
"title": "Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets",
"doi": null,
"abstractUrl": "/journal/tb/2016/04/07229308/13rRUxC0SuG",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2013/03/ttb2013030760",
"title": "Studying the Role of Lipid Rafts on Protein Receptor Bindings with Cellular Automata",
"doi": null,
"abstractUrl": "/journal/tb/2013/03/ttb2013030760/13rRUxOdD6N",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itme/2018/7744/0/774400a847",
"title": "Membrane Protein Type Prediction for High-Dimensional Imbalanced Datasets",
"doi": null,
"abstractUrl": "/proceedings-article/itme/2018/774400a847/17D45WnnFWM",
"parentPublication": {
"id": "proceedings/itme/2018/7744/0",
"title": "2018 9th International Conference on Information Technology in Medicine and Education (ITME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/conielecomp/2007/2799/0/04127241",
"title": "Membrane Systems for Robot Control Architectures",
"doi": null,
"abstractUrl": "/proceedings-article/conielecomp/2007/04127241/181W9mOQlvG",
"parentPublication": {
"id": "proceedings/conielecomp/2007/2799/0",
"title": "Electronics, Communications, and Computers, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2023/02/09834316",
"title": "Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types",
"doi": null,
"abstractUrl": "/journal/tb/2023/02/09834316/1Fa9EejYsz6",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1A8gmCnipkA",
"title": "2021 IEEE International Conference on Big Data (Big Data)",
"acronym": "big-data",
"groupId": "1802964",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1A8gp5yJ4re",
"doi": "10.1109/BigData52589.2021.9671290",
"title": "A Constraint Propagation Approach for Identifying Biological Pathways in COVID-19 Knowledge Graphs",
"normalizedTitle": "A Constraint Propagation Approach for Identifying Biological Pathways in COVID-19 Knowledge Graphs",
"abstract": "Many mechanisms within biological systems can be modeled as pathways, chains of interactions between proteins, genes, chemicals, and other biological entities. These interactions can be represented using a graph structure, more specifically a knowledge graph representing known or inferred information about the entities in question. In this context, we propose a constraint propagation approach for identifying paths in a graph structure which represent potential biological pathways. We apply this approach to a knowledge graph dataset which was semantically extracted from literature on COVID-19.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Many mechanisms within biological systems can be modeled as pathways, chains of interactions between proteins, genes, chemicals, and other biological entities. These interactions can be represented using a graph structure, more specifically a knowledge graph representing known or inferred information about the entities in question. In this context, we propose a constraint propagation approach for identifying paths in a graph structure which represent potential biological pathways. We apply this approach to a knowledge graph dataset which was semantically extracted from literature on COVID-19.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Many mechanisms within biological systems can be modeled as pathways, chains of interactions between proteins, genes, chemicals, and other biological entities. These interactions can be represented using a graph structure, more specifically a knowledge graph representing known or inferred information about the entities in question. In this context, we propose a constraint propagation approach for identifying paths in a graph structure which represent potential biological pathways. We apply this approach to a knowledge graph dataset which was semantically extracted from literature on COVID-19.",
"fno": "09671290",
"keywords": [
"Bioinformatics",
"Constraint Handling",
"Diseases",
"Epidemics",
"Genetics",
"Genomics",
"Graph Theory",
"Knowledge Representation",
"Proteins",
"Semantic Networks",
"Constraint Propagation",
"Biological Systems",
"Biological Entities",
"Graph Structure",
"Knowledge Graph Dataset",
"Biological Pathway Identification",
"Proteins",
"Genes",
"Chemicals",
"COVID 19 Knowledge Graph Representation",
"COVID 19",
"Proteins",
"Conferences",
"Biological System Modeling",
"Biological Systems",
"Big Data",
"Chemicals"
],
"authors": [
{
"affiliation": "University of California, Los Angeles,Department of Mathematics,Los Angeles,California",
"fullName": "Thomas K. Tu",
"givenName": "Thomas K.",
"surname": "Tu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "big-data",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-12-01T00:00:00",
"pubType": "proceedings",
"pages": "2678-2684",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3902-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09671479",
"articleId": "1A8gYFo843m",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09671874",
"articleId": "1A8gChPJumc",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/bibm/2010/8306/0/05706642",
"title": "IsoKEGG: A logic based system for querying biological pathways in KEGG",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2010/05706642/12OmNqzu6Kc",
"parentPublication": {
"id": "proceedings/bibm/2010/8306/0",
"title": "2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2017/3050/0/08217814",
"title": "A semantic knowledge-base approach to drug-drug interaction discovery",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2017/08217814/12OmNwEJ0IS",
"parentPublication": {
"id": "proceedings/bibm/2017/3050/0",
"title": "2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2013/1309/0/06732488",
"title": "Correlating adverse drug reactions with biological pathways in humans",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2013/06732488/12OmNxFaLzr",
"parentPublication": {
"id": "proceedings/bibm/2013/1309/0",
"title": "2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dbkda/2009/3550/0/3550a022",
"title": "An Extension of XQuery for Graph Analysis of Biological Pathways",
"doi": null,
"abstractUrl": "/proceedings-article/dbkda/2009/3550a022/12OmNzV70KL",
"parentPublication": {
"id": "proceedings/dbkda/2009/3550/0",
"title": "Advances in Databases, First International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibe/2003/1907/0/19070018",
"title": "Towards Automated Derivation of Biological Pathways Using High-Throughput Biological Data",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2003/19070018/12OmNzwZ6iw",
"parentPublication": {
"id": "proceedings/bibe/2003/1907/0",
"title": "Proceedings Third IEEE Symposium on BioInformatics and BioEngineering. BIBE 2003",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2013/12/ttg2013122536",
"title": "Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets",
"doi": null,
"abstractUrl": "/journal/tg/2013/12/ttg2013122536/13rRUyY28Yw",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsc/2019/6783/0/08665519",
"title": "Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction Pathways",
"doi": null,
"abstractUrl": "/proceedings-article/icsc/2019/08665519/18qceyIMLUQ",
"parentPublication": {
"id": "proceedings/icsc/2019/6783/0",
"title": "2019 IEEE 13th International Conference on Semantic Computing (ICSC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icaice/2021/2186/0/218600a551",
"title": "Causal Network Structure Analysis of Pharmaceutical and Biological Industry under the COVID-19",
"doi": null,
"abstractUrl": "/proceedings-article/icaice/2021/218600a551/1Et4HHw07iE",
"parentPublication": {
"id": "proceedings/icaice/2021/2186/0",
"title": "2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ickg/2022/5101/0/510100a079",
"title": "Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case",
"doi": null,
"abstractUrl": "/proceedings-article/ickg/2022/510100a079/1KxTYJ2OPbq",
"parentPublication": {
"id": "proceedings/ickg/2022/5101/0",
"title": "2022 IEEE International Conference on Knowledge Graph (ICKG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2021/04/09415143",
"title": "Network-Based Analysis of Fatal Comorbidities of COVID-19 and Potential Therapeutics",
"doi": null,
"abstractUrl": "/journal/tb/2021/04/09415143/1t2ib7KjTFe",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNvpNIpw",
"title": "2015 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"acronym": "vast",
"groupId": "1001630",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyyO8NA",
"doi": "10.1109/VAST.2015.7347682",
"title": "TimeStitch: Interactive multi-focus cohort discovery and comparison",
"normalizedTitle": "TimeStitch: Interactive multi-focus cohort discovery and comparison",
"abstract": "Whereas event-based timelines for healthcare enable users to visualize the chronology of events surrounding events of interest, they are often not designed to aid the discovery, construction, or comparison of associated cohorts. We present TimeStitch, a system that helps health researchers discover and understand events that may cause abstinent smokers to lapse. TimeStitch extracts common sequences of events performed by abstinent smokers from large amounts of mobile health sensor data, and offers a suite of interactive and visualization techniques to enable cohort discovery, construction, and comparison, using extracted sequences as interactive elements. We are extending TimeStitch to support more complex health conditions with high mortality risk, such as reducing hospital readmission in congestive heart failure.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Whereas event-based timelines for healthcare enable users to visualize the chronology of events surrounding events of interest, they are often not designed to aid the discovery, construction, or comparison of associated cohorts. We present TimeStitch, a system that helps health researchers discover and understand events that may cause abstinent smokers to lapse. TimeStitch extracts common sequences of events performed by abstinent smokers from large amounts of mobile health sensor data, and offers a suite of interactive and visualization techniques to enable cohort discovery, construction, and comparison, using extracted sequences as interactive elements. We are extending TimeStitch to support more complex health conditions with high mortality risk, such as reducing hospital readmission in congestive heart failure.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Whereas event-based timelines for healthcare enable users to visualize the chronology of events surrounding events of interest, they are often not designed to aid the discovery, construction, or comparison of associated cohorts. We present TimeStitch, a system that helps health researchers discover and understand events that may cause abstinent smokers to lapse. TimeStitch extracts common sequences of events performed by abstinent smokers from large amounts of mobile health sensor data, and offers a suite of interactive and visualization techniques to enable cohort discovery, construction, and comparison, using extracted sequences as interactive elements. We are extending TimeStitch to support more complex health conditions with high mortality risk, such as reducing hospital readmission in congestive heart failure.",
"fno": "07347682",
"keywords": [
"H 5 2 Information Interfaces And Presentation User Interfaces Graphical User Interaces GUI"
],
"authors": [
{
"affiliation": "Georgia Tech., USA",
"fullName": "Peter J. Polack",
"givenName": "Peter J.",
"surname": "Polack",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Georgia Tech., USA",
"fullName": "Shang-Tse Chen",
"givenName": null,
"surname": "Shang-Tse Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Georgia Tech., USA",
"fullName": "Minsuk Kahng",
"givenName": null,
"surname": "Minsuk Kahng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Memphis., USA",
"fullName": "Moushumi Sharmin",
"givenName": null,
"surname": "Moushumi Sharmin",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Georgia Tech., USA",
"fullName": "Duen Horng Chau",
"givenName": null,
"surname": "Duen Horng Chau",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vast",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-10-01T00:00:00",
"pubType": "proceedings",
"pages": "209-210",
"year": "2015",
"issn": null,
"isbn": "978-1-4673-9783-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07347681",
"articleId": "12OmNrkBwva",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07347683",
"articleId": "12OmNBKmXm4",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ichi/2015/9548/0/9548a408",
"title": "Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2015/9548a408/12OmNCesrcw",
"parentPublication": {
"id": "proceedings/ichi/2015/9548/0",
"title": "2015 International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2010/4256/0/4256b218",
"title": "Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and Challenges",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2010/4256b218/12OmNqHqSyv",
"parentPublication": {
"id": "proceedings/icdm/2010/4256/0",
"title": "2010 IEEE International Conference on Data Mining",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sutc/2010/4049/0/4049a237",
"title": "Comparison of Discovery Service Architectures for the Internet of Things",
"doi": null,
"abstractUrl": "/proceedings-article/sutc/2010/4049a237/12OmNvStcOb",
"parentPublication": {
"id": "proceedings/sutc/2010/4049/0",
"title": "Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2017/1710/0/1710a582",
"title": "Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2017/1710a582/12OmNviZltq",
"parentPublication": {
"id": "proceedings/cbms/2017/1710/0",
"title": "2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/nss/2010/4159/0/4159a383",
"title": "Cluster Based Rule Discovery Model for Enhancement of Government's Tobacco Control Strategy",
"doi": null,
"abstractUrl": "/proceedings-article/nss/2010/4159a383/12OmNwe2ImH",
"parentPublication": {
"id": "proceedings/nss/2010/4159/0",
"title": "Network and System Security, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2016/9005/0/07841007",
"title": "Interactive personalized interesting pattern discovery",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2016/07841007/12OmNwwd2V7",
"parentPublication": {
"id": "proceedings/big-data/2016/9005/0",
"title": "2016 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/esem/2011/4604/0/4604a097",
"title": "One Technique is Not Enough: A Comparison of Vulnerability Discovery Techniques",
"doi": null,
"abstractUrl": "/proceedings-article/esem/2011/4604a097/12OmNzUPpFO",
"parentPublication": {
"id": "proceedings/esem/2011/4604/0",
"title": "2011 International Symposium on Empirical Software Engineering and Measurement",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ainaw/2007/2847/2/284720001",
"title": "Resource Discovery in Ubiquitous Health Care",
"doi": null,
"abstractUrl": "/proceedings-article/ainaw/2007/284720001/12OmNzWOBdV",
"parentPublication": {
"id": "proceedings/ainaw/2007/2847/2",
"title": "Advanced Information Networking and Applications Workshops, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/1999/06/k0833",
"title": "Pattern Discovery by Residual Analysis and Recursive Partitioning",
"doi": null,
"abstractUrl": "/journal/tk/1999/06/k0833/13rRUxASuvs",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vahc/2021/2067/0/206700a014",
"title": "Interactive Cohort Analysis and Hypothesis Discovery by Exploring Temporal Patterns in Population-Level Health Records",
"doi": null,
"abstractUrl": "/proceedings-article/vahc/2021/206700a014/1z0yjD3x1VC",
"parentPublication": {
"id": "proceedings/vahc/2021/2067/0",
"title": "2021 IEEE Workshop on Visual Analytics in Healthcare (VAHC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1qmfHK8AjMQ",
"title": "2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"acronym": "bibm",
"groupId": "1001586",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1qmfK9cPAXu",
"doi": "10.1109/BIBM49941.2020.9313520",
"title": "Identification of Key Biological Pathway Routes in Cancer Cohorts",
"normalizedTitle": "Identification of Key Biological Pathway Routes in Cancer Cohorts",
"abstract": "Over the last two decades, various pathway analysis methods have been proposed to investigate complex biological interactions with omics data. Topology based (TB) pathway analysis techniques are generally considered to have better performance than non-topology-based methods. However, these methods score an entire pathway as a unit, where the relevance of individual routes within the pathway is lost. In this paper, a novel route-based pathway analysis framework is discussed that can effectively process entire cohorts of gene expression data sets and identify significant pathway routes in the given cohort. The framework begins with identifying all possible transcription factor (TF) centric routes from KEGG signaling pathways. For each route in a pathway, activity scores and p-values are calculated for samples in the given cohort. Overall route activity in a cohort is assessed in terms of two summary metrics, “Proportion of Significance” (PS) and “Average Route Score” (ARS). Case studies of two human cancer cohorts from The Cancer Genome Atlas (TCGA) repository are presented.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Over the last two decades, various pathway analysis methods have been proposed to investigate complex biological interactions with omics data. Topology based (TB) pathway analysis techniques are generally considered to have better performance than non-topology-based methods. However, these methods score an entire pathway as a unit, where the relevance of individual routes within the pathway is lost. In this paper, a novel route-based pathway analysis framework is discussed that can effectively process entire cohorts of gene expression data sets and identify significant pathway routes in the given cohort. The framework begins with identifying all possible transcription factor (TF) centric routes from KEGG signaling pathways. For each route in a pathway, activity scores and p-values are calculated for samples in the given cohort. Overall route activity in a cohort is assessed in terms of two summary metrics, “Proportion of Significance” (PS) and “Average Route Score” (ARS). Case studies of two human cancer cohorts from The Cancer Genome Atlas (TCGA) repository are presented.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Over the last two decades, various pathway analysis methods have been proposed to investigate complex biological interactions with omics data. Topology based (TB) pathway analysis techniques are generally considered to have better performance than non-topology-based methods. However, these methods score an entire pathway as a unit, where the relevance of individual routes within the pathway is lost. In this paper, a novel route-based pathway analysis framework is discussed that can effectively process entire cohorts of gene expression data sets and identify significant pathway routes in the given cohort. The framework begins with identifying all possible transcription factor (TF) centric routes from KEGG signaling pathways. For each route in a pathway, activity scores and p-values are calculated for samples in the given cohort. Overall route activity in a cohort is assessed in terms of two summary metrics, “Proportion of Significance” (PS) and “Average Route Score” (ARS). Case studies of two human cancer cohorts from The Cancer Genome Atlas (TCGA) repository are presented.",
"fno": "09313520",
"keywords": [
"Bioinformatics",
"Cancer",
"Data Handling",
"Genetics",
"Genomics",
"Medical Computing",
"Molecular Biophysics",
"Complex Biological Interactions",
"Omics Data",
"Gene Expression Data Sets",
"KEGG Signaling Pathways",
"Activity Scores",
"Route Activity",
"Human Cancer Cohorts",
"Average Route Score",
"Transcription Factor Centric Routes",
"Significant Pathway Route Identification",
"Route Based Pathway Analysis Framework",
"Topology Based Pathway Analysis Methods",
"Key Biological Pathway Route Identification",
"TCGA Repository",
"The Cancer Genome Atlas Repository",
"Cancer",
"Colon",
"Topology",
"Bioinformatics",
"Tools",
"Thyroid",
"Statistics",
"R PAC",
"Route Based Pathway Analysis",
"Genomics",
"Bioinformatics",
"KEGG Pathways",
"TCGA Data Analysis"
],
"authors": [
{
"affiliation": "University of Connecticut,Computer Science and Engineering Department,Storrs,CT,USA,06269",
"fullName": "Pujan Joshi",
"givenName": "Pujan",
"surname": "Joshi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Connecticut,Molecular and Cell Biology Department,Storrs,CT,USA,06269",
"fullName": "Brent Basso",
"givenName": "Brent",
"surname": "Basso",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Connecticut,Computer Science and Engineering Department,Storrs,CT,USA,06269",
"fullName": "Honglin Wang",
"givenName": "Honglin",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Connecticut,Computer Science and Engineering Department,Storrs,CT,USA,06269",
"fullName": "Seung-Hyun Hong",
"givenName": "Seung-Hyun",
"surname": "Hong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Connecticut,Molecular and Cell Biology Department,Storrs,CT,USA,06269",
"fullName": "Charles Giardina",
"givenName": "Charles",
"surname": "Giardina",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Connecticut,Computer Science and Engineering Department,Storrs,CT,USA,06269",
"fullName": "Dong-Guk Shin",
"givenName": "Dong-Guk",
"surname": "Shin",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "bibm",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-12-01T00:00:00",
"pubType": "proceedings",
"pages": "154-157",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-6215-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09313489",
"articleId": "1qmg8v3vfa0",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09313311",
"articleId": "1qmfSB289na",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/bibm/2016/1611/0/07822528",
"title": "Deep pathway analysis incorporating mutation information and gene expression data",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2016/07822528/12OmNAKuoTq",
"parentPublication": {
"id": "proceedings/bibm/2016/1611/0",
"title": "2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2014/5669/0/06999383",
"title": "Estimating cancer gene pathway proximity using network interaction",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2014/06999383/12OmNAXglNW",
"parentPublication": {
"id": "proceedings/bibm/2014/5669/0",
"title": "2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2010/8306/0/05706613",
"title": "Network-based identification of smoking-associated gene signature for lung cancer",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2010/05706613/12OmNx3HIaZ",
"parentPublication": {
"id": "proceedings/bibm/2010/8306/0",
"title": "2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccabs/2013/0716/0/06629238",
"title": "Identifying significant mutations in large cohorts of cancer genomes",
"doi": null,
"abstractUrl": "/proceedings-article/iccabs/2013/06629238/12OmNx5pj3I",
"parentPublication": {
"id": "proceedings/iccabs/2013/0716/0",
"title": "2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2018/03/07874138",
"title": "PerPAS: Topology-Based Single Sample Pathway Analysis Method",
"doi": null,
"abstractUrl": "/journal/tb/2018/03/07874138/13rRUyYBlfj",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2020/02/08462790",
"title": "A Gaussian Mixture-Model Exploiting Pathway Knowledge for Dissecting Cancer Heterogeneity",
"doi": null,
"abstractUrl": "/journal/tb/2020/02/08462790/13w3lphXmIE",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669896",
"title": "Systematically analysis of USF3 expression in different types of cancer",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669896/1A9VMwTLXaM",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2021/0126/0/09669832",
"title": "Identification of Crosstalk between Biological Pathway Routes in Cancer Cohorts",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2021/09669832/1A9ViCqEoZW",
"parentPublication": {
"id": "proceedings/bibm/2021/0126/0",
"title": "2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2022/6819/0/09995461",
"title": "Differential Co-expression Network Analysis to Investigate Sexual Dimorphism in Colon Cancer",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2022/09995461/1JC2O79Ahry",
"parentPublication": {
"id": "proceedings/bibm/2022/6819/0",
"title": "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2021/01/08861149",
"title": "Deep Pathway Analysis V2.0: A Pathway Analysis Framework Incorporating Multi-Dimensional Omics Data",
"doi": null,
"abstractUrl": "/journal/tb/2021/01/08861149/1dVZzwBe2k0",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzVGcJp",
"title": "2011 IEEE International Conference on Bioinformatics and Biomedicine",
"acronym": "bibm",
"groupId": "1001586",
"volume": "0",
"displayVolume": "0",
"year": "2011",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNBK5m7q",
"doi": "10.1109/BIBM.2011.126",
"title": "3D Neuron Tip Detection in Volumetric Microscopy Images",
"normalizedTitle": "3D Neuron Tip Detection in Volumetric Microscopy Images",
"abstract": "This paper addresses the problem of 3D neuron tips detection in volumetric microscopy image stacks. We focus particularly on neuron tracing applications, where the detected 3D tips could be used as the seeding points. Most of the existing neuron tracing methods require a good choice of seeding points. In this paper, we propose an automated neuron tips detection method for volumetric microscopy image stacks. Our method is based on first detecting 2D tips using curvature information and a ray-shooting intensity distribution model, and then extending it to the 3D stack by rejecting false positives. We tested this method based on the V3D platform, which can reconstruct a neuron based on automated searching of the optimal 'paths' connecting those detected 3D tips. The experiments demonstrate the effectiveness of the proposed method in building a fully automatic neuron tracing system.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper addresses the problem of 3D neuron tips detection in volumetric microscopy image stacks. We focus particularly on neuron tracing applications, where the detected 3D tips could be used as the seeding points. Most of the existing neuron tracing methods require a good choice of seeding points. In this paper, we propose an automated neuron tips detection method for volumetric microscopy image stacks. Our method is based on first detecting 2D tips using curvature information and a ray-shooting intensity distribution model, and then extending it to the 3D stack by rejecting false positives. We tested this method based on the V3D platform, which can reconstruct a neuron based on automated searching of the optimal 'paths' connecting those detected 3D tips. The experiments demonstrate the effectiveness of the proposed method in building a fully automatic neuron tracing system.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper addresses the problem of 3D neuron tips detection in volumetric microscopy image stacks. We focus particularly on neuron tracing applications, where the detected 3D tips could be used as the seeding points. Most of the existing neuron tracing methods require a good choice of seeding points. In this paper, we propose an automated neuron tips detection method for volumetric microscopy image stacks. Our method is based on first detecting 2D tips using curvature information and a ray-shooting intensity distribution model, and then extending it to the 3D stack by rejecting false positives. We tested this method based on the V3D platform, which can reconstruct a neuron based on automated searching of the optimal 'paths' connecting those detected 3D tips. The experiments demonstrate the effectiveness of the proposed method in building a fully automatic neuron tracing system.",
"fno": "06120467",
"keywords": [
"Medical Image Processing",
"Neurophysiology",
"Object Detection",
"Ray Tracing",
"3 D Neuron Tip Detection",
"Volumetric Microscopy Image Stack",
"Neuron Tracing",
"Seeding Point",
"Curvature Information",
"Ray Shooting Intensity Distribution Model",
"V 3 D Platform",
"Three Dimensional Displays",
"Neurons",
"Image Reconstruction",
"Microscopy",
"Image Color Analysis",
"Equations",
"Mathematical Model",
"3 D Tips",
"Neuron Tracing",
"Ray Shooting"
],
"authors": [
{
"affiliation": null,
"fullName": "Min Liu",
"givenName": "Min",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Hanchuan Peng",
"givenName": "Hanchuan",
"surname": "Peng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Amit K. Roy-Chowdhury",
"givenName": "Amit K.",
"surname": "Roy-Chowdhury",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Eugene Myers",
"givenName": "Eugene",
"surname": "Myers",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "bibm",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2011-11-01T00:00:00",
"pubType": "proceedings",
"pages": "366-371",
"year": "2011",
"issn": null,
"isbn": "978-1-4577-1799-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "06120466",
"articleId": "12OmNxR5UOh",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06120468",
"articleId": "12OmNxXl5FP",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvprw/2016/1437/0/1437b324",
"title": "Neuron Segmentation Based on CNN with Semi-Supervised Regularization",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2016/1437b324/12OmNrJAedS",
"parentPublication": {
"id": "proceedings/cvprw/2016/1437/0",
"title": "2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2013/1309/0/06732714",
"title": "A novel seeding method based on spatial sliding volume filter for neuron reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2013/06732714/12OmNwF0BNI",
"parentPublication": {
"id": "proceedings/bibm/2013/1309/0",
"title": "2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibe/2007/1509/0/04375572",
"title": "A Simulation-Based 3D Axon Axis Extraction in Confocal Fluorescence Microscopy Images",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2007/04375572/12OmNxHryjh",
"parentPublication": {
"id": "proceedings/bibe/2007/1509/0",
"title": "7th IEEE International Conference on Bioinformatics and Bioengineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2017/1034/0/1034a126",
"title": "Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2017/1034a126/12OmNyvY9sc",
"parentPublication": {
"id": "proceedings/iccvw/2017/1034/0",
"title": "2017 IEEE International Conference on Computer Vision Workshop (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2017/0560/0/08026258",
"title": "A distance transform based tip point detection method for neurons in confocal microscopy images",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2017/08026258/12OmNzmLxU6",
"parentPublication": {
"id": "proceedings/icmew/2017/0560/0",
"title": "2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08017617",
"title": "A Virtual Reality Visualization Tool for Neuron Tracing",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08017617/13rRUwI5U2O",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621482",
"title": "3D Neuron Branch Points Detection in Microscopy Images",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621482/17D45XDIXX3",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2023/9346/0/934600f776",
"title": "PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2023/934600f776/1KxUsxFsCfS",
"parentPublication": {
"id": "proceedings/wacv/2023/9346/0",
"title": "2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0/298000a289",
"title": "Optimization Algorithms in Reconstructions of Neuron Morphology: An Overview",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2019/298000a289/1ehBI4wpbUc",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0",
"title": "2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2019/2506/0/250600b105",
"title": "Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2019/250600b105/1iTvodX3iSI",
"parentPublication": {
"id": "proceedings/cvprw/2019/2506/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNrY3LnL",
"title": "2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)",
"acronym": "cbms",
"groupId": "1000153",
"volume": "0",
"displayVolume": "0",
"year": "2016",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNwdbV1n",
"doi": "10.1109/CBMS.2016.48",
"title": "Automatic Neuron Tracing Using a Locally Tunable Approach",
"normalizedTitle": "Automatic Neuron Tracing Using a Locally Tunable Approach",
"abstract": "Neuroscience has been interested in cellular neuroanatomy since the time of Ramón y Cajal. Although the manual reconstruction of neuron morphologies is still widely used, the recent availability of large image data asks for automatic or semi-automatic tools. In this paper we present an automatic method to trace neurites in 3D volumes based on two main steps. The first detects neurites connected with a given seed that satisfy a conservative membership rule, the second detects weak neurite chunks allowing a local growth of the arbor on the basis of local intensity features. The local step also accommodates to the nonuniform illumination and to the noise of the sample. We tested our proposal on the Olfactory Projection dataset belonging to the well-known DIADEM challenge, comparing its performance against those achieved by other state-of-the-art methods available within the BigNeuron Project.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Neuroscience has been interested in cellular neuroanatomy since the time of Ramón y Cajal. Although the manual reconstruction of neuron morphologies is still widely used, the recent availability of large image data asks for automatic or semi-automatic tools. In this paper we present an automatic method to trace neurites in 3D volumes based on two main steps. The first detects neurites connected with a given seed that satisfy a conservative membership rule, the second detects weak neurite chunks allowing a local growth of the arbor on the basis of local intensity features. The local step also accommodates to the nonuniform illumination and to the noise of the sample. We tested our proposal on the Olfactory Projection dataset belonging to the well-known DIADEM challenge, comparing its performance against those achieved by other state-of-the-art methods available within the BigNeuron Project.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Neuroscience has been interested in cellular neuroanatomy since the time of Ramón y Cajal. Although the manual reconstruction of neuron morphologies is still widely used, the recent availability of large image data asks for automatic or semi-automatic tools. In this paper we present an automatic method to trace neurites in 3D volumes based on two main steps. The first detects neurites connected with a given seed that satisfy a conservative membership rule, the second detects weak neurite chunks allowing a local growth of the arbor on the basis of local intensity features. The local step also accommodates to the nonuniform illumination and to the noise of the sample. We tested our proposal on the Olfactory Projection dataset belonging to the well-known DIADEM challenge, comparing its performance against those achieved by other state-of-the-art methods available within the BigNeuron Project.",
"fno": "9036a130",
"keywords": [
"Neurons",
"Image Reconstruction",
"Three Dimensional Displays",
"Manuals",
"Morphology",
"Skeleton",
"Lighting",
"Neuron Reconstruction",
"Neuron Tracing",
"Big Neuron",
"Neuron Image Analysis"
],
"authors": [
{
"affiliation": null,
"fullName": "Ludovica Acciai",
"givenName": "Ludovica",
"surname": "Acciai",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Paolo Soda",
"givenName": "Paolo",
"surname": "Soda",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Giulio Iannello",
"givenName": "Giulio",
"surname": "Iannello",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cbms",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2016-06-01T00:00:00",
"pubType": "proceedings",
"pages": "130-135",
"year": "2016",
"issn": "2372-9198",
"isbn": "978-1-4673-9036-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "9036a124",
"articleId": "12OmNxzMnKK",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "9036a136",
"articleId": "12OmNCxL9RM",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/hpcs/2017/3250/0/08035160",
"title": "Programmed Neuron Cells' Morphology Multiphase Assessment",
"doi": null,
"abstractUrl": "/proceedings-article/hpcs/2017/08035160/12OmNAndija",
"parentPublication": {
"id": "proceedings/hpcs/2017/3250/0",
"title": "2017 International Conference on High-Performance Computing & Simulation (HPCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2010/6984/0/05540029",
"title": "Neuron geometry extraction by perceptual grouping in ssTEM images",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2010/05540029/12OmNAndiwg",
"parentPublication": {
"id": "proceedings/cvpr/2010/6984/0",
"title": "2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2009/5497/0/05403112",
"title": "Automatic analysis of flourescence labeled neurites in microscope images",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2009/05403112/12OmNwcUjS1",
"parentPublication": {
"id": "proceedings/wacv/2009/5497/0",
"title": "2009 Workshop on Applications of Computer Vision (WACV 2009)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2017/1034/0/1034a126",
"title": "Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2017/1034a126/12OmNyvY9sc",
"parentPublication": {
"id": "proceedings/iccvw/2017/1034/0",
"title": "2017 IEEE International Conference on Computer Vision Workshop (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2018/01/08017617",
"title": "A Virtual Reality Visualization Tool for Neuron Tracing",
"doi": null,
"abstractUrl": "/journal/tg/2018/01/08017617/13rRUwI5U2O",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621212",
"title": "Automatic 3D Neuron Tracing Based on Terminations Detection",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621212/17D45VVho2h",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0/08726820",
"title": "Semi-Automatic Neuron Tracing in Electron Microscope Images: Preliminary Results",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2018/08726820/1axfqBgB2fu",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0",
"title": "2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0/298000a289",
"title": "Optimization Algorithms in Reconstructions of Neuron Morphology: An Overview",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2019/298000a289/1ehBI4wpbUc",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0",
"title": "2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isvlsi/2020/5775/0/577500a252",
"title": "Tunable Voltage-Mode Subthreshold CMOS Neuron",
"doi": null,
"abstractUrl": "/proceedings-article/isvlsi/2020/577500a252/1m1iSg8cHIc",
"parentPublication": {
"id": "proceedings/isvlsi/2020/5775/0",
"title": "2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09226101",
"title": "Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09226101/1nWKGhzMhb2",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKisC",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"acronym": "bibm",
"groupId": "1001586",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45VVho2h",
"doi": "10.1109/BIBM.2018.8621212",
"title": "Automatic 3D Neuron Tracing Based on Terminations Detection",
"normalizedTitle": "Automatic 3D Neuron Tracing Based on Terminations Detection",
"abstract": "The digital reconstruction of neuron morphology in volumetric images is important for understanding the connectivity of neurons system. In this paper, we developed an automatic neuron reconstruction (tracing) framework based on neuron termination points. The neuron terminations are detected by an adaptive ray-shooting model which analyzes the intensity distribution of the neighborhood around the termination point candidates. Based on the detected neuron terminations, a graph-augmented deformable model based on the shortest path rule is employed to reconstruct the 3D neuron structure. The experimental results on multiple 3D neuron images validated the effectiveness of the proposed method to reconstruct the neuron structures.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The digital reconstruction of neuron morphology in volumetric images is important for understanding the connectivity of neurons system. In this paper, we developed an automatic neuron reconstruction (tracing) framework based on neuron termination points. The neuron terminations are detected by an adaptive ray-shooting model which analyzes the intensity distribution of the neighborhood around the termination point candidates. Based on the detected neuron terminations, a graph-augmented deformable model based on the shortest path rule is employed to reconstruct the 3D neuron structure. The experimental results on multiple 3D neuron images validated the effectiveness of the proposed method to reconstruct the neuron structures.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The digital reconstruction of neuron morphology in volumetric images is important for understanding the connectivity of neurons system. In this paper, we developed an automatic neuron reconstruction (tracing) framework based on neuron termination points. The neuron terminations are detected by an adaptive ray-shooting model which analyzes the intensity distribution of the neighborhood around the termination point candidates. Based on the detected neuron terminations, a graph-augmented deformable model based on the shortest path rule is employed to reconstruct the 3D neuron structure. The experimental results on multiple 3D neuron images validated the effectiveness of the proposed method to reconstruct the neuron structures.",
"fno": "08621212",
"keywords": [
"Neuron Tracing",
"Terminations",
"Adaptive Ray Shooting Model",
"Graph Augmented Deformable Model"
],
"authors": [
{
"affiliation": "College of Electrical and Information Engineering, Hunan University, Changsha, China",
"fullName": "Chao Wang",
"givenName": "Chao",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "College of Electrical and Information Engineering, Hunan University, Changsha, China",
"fullName": "Weixun Chen",
"givenName": "Weixun",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "College of Electrical and Information Engineering, Hunan University, Changsha, China",
"fullName": "Min Liu",
"givenName": "Min",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Allen Institute for Brain Science, Seattle, USA",
"fullName": "Zhi Zhou",
"givenName": "Zhi",
"surname": "Zhou",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "bibm",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-12-01T00:00:00",
"pubType": "proceedings",
"pages": "1027-1030",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-5488-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08621203",
"articleId": "17D45Wda7gB",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08621408",
"articleId": "17D45WgziNS",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/bibm/2011/1799/0/06120467",
"title": "3D Neuron Tip Detection in Volumetric Microscopy Images",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2011/06120467/12OmNBK5m7q",
"parentPublication": {
"id": "proceedings/bibm/2011/1799/0",
"title": "2011 IEEE International Conference on Bioinformatics and Biomedicine",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2016/9036/0/9036a130",
"title": "Automatic Neuron Tracing Using a Locally Tunable Approach",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2016/9036a130/12OmNwdbV1n",
"parentPublication": {
"id": "proceedings/cbms/2016/9036/0",
"title": "2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2017/1034/0/1034a126",
"title": "Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2017/1034a126/12OmNyvY9sc",
"parentPublication": {
"id": "proceedings/iccvw/2017/1034/0",
"title": "2017 IEEE International Conference on Computer Vision Workshop (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621126",
"title": "Improved V-Net Based Image Segmentation for 3D Neuron Reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621126/17D45WXIkHK",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621482",
"title": "3D Neuron Branch Points Detection in Microscopy Images",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621482/17D45XDIXX3",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621244",
"title": "An Adaptive Ray-Shooting Model for Terminations Detection: Applications in Neuron and Retinal Blood Vessel Images",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621244/17D45XwUAH6",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wacv/2023/9346/0/934600f776",
"title": "PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds",
"doi": null,
"abstractUrl": "/proceedings-article/wacv/2023/934600f776/1KxUsxFsCfS",
"parentPublication": {
"id": "proceedings/wacv/2023/9346/0",
"title": "2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0/08726820",
"title": "Semi-Automatic Neuron Tracing in Electron Microscope Images: Preliminary Results",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2018/08726820/1axfqBgB2fu",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0",
"title": "2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0/298000a289",
"title": "Optimization Algorithms in Reconstructions of Neuron Morphology: An Overview",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2019/298000a289/1ehBI4wpbUc",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0",
"title": "2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2019/2506/0/250600b105",
"title": "Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2019/250600b105/1iTvodX3iSI",
"parentPublication": {
"id": "proceedings/cvprw/2019/2506/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1KxUhhFgzlK",
"title": "2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)",
"acronym": "wacv",
"groupId": "1000040",
"volume": "0",
"displayVolume": "0",
"year": "2023",
"__typename": "ProceedingType"
},
"article": {
"id": "1KxUsxFsCfS",
"doi": "10.1109/WACV56688.2023.00574",
"title": "PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds",
"normalizedTitle": "PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds",
"abstract": "Digital neuron reconstruction from 3D microscopy images is an essential technique for investigating brain connectomics and neuron morphology. Existing reconstruction frameworks use convolution-based segmentation networks to partition the neuron from noisy backgrounds before applying the tracing algorithm. The tracing results are sensitive to the raw image quality and segmentation accuracy. In this paper, we propose a novel framework for 3D neuron reconstruction. Our key idea is to use the geometric representation power of the point cloud to better explore the intrinsic structural information of neurons. Our proposed framework adopts one graph convolutional network to predict the neural skeleton points and another one to produce the connectivity of these points. We finally generate the target SWC file through the interpretation of the predicted point coordinates, radius, and connections. Evaluated on the Janelia-Fly dataset from the BigNeuron project, we show that our framework achieves competitive neuron reconstruction performance. Our geometry and topology learning of point clouds could further benefit 3D medical image analysis, such as cardiac surface reconstruction. Our code is available at https://github.com/RunkaiZhao/PointNeuron.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Digital neuron reconstruction from 3D microscopy images is an essential technique for investigating brain connectomics and neuron morphology. Existing reconstruction frameworks use convolution-based segmentation networks to partition the neuron from noisy backgrounds before applying the tracing algorithm. The tracing results are sensitive to the raw image quality and segmentation accuracy. In this paper, we propose a novel framework for 3D neuron reconstruction. Our key idea is to use the geometric representation power of the point cloud to better explore the intrinsic structural information of neurons. Our proposed framework adopts one graph convolutional network to predict the neural skeleton points and another one to produce the connectivity of these points. We finally generate the target SWC file through the interpretation of the predicted point coordinates, radius, and connections. Evaluated on the Janelia-Fly dataset from the BigNeuron project, we show that our framework achieves competitive neuron reconstruction performance. Our geometry and topology learning of point clouds could further benefit 3D medical image analysis, such as cardiac surface reconstruction. Our code is available at https://github.com/RunkaiZhao/PointNeuron.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Digital neuron reconstruction from 3D microscopy images is an essential technique for investigating brain connectomics and neuron morphology. Existing reconstruction frameworks use convolution-based segmentation networks to partition the neuron from noisy backgrounds before applying the tracing algorithm. The tracing results are sensitive to the raw image quality and segmentation accuracy. In this paper, we propose a novel framework for 3D neuron reconstruction. Our key idea is to use the geometric representation power of the point cloud to better explore the intrinsic structural information of neurons. Our proposed framework adopts one graph convolutional network to predict the neural skeleton points and another one to produce the connectivity of these points. We finally generate the target SWC file through the interpretation of the predicted point coordinates, radius, and connections. Evaluated on the Janelia-Fly dataset from the BigNeuron project, we show that our framework achieves competitive neuron reconstruction performance. Our geometry and topology learning of point clouds could further benefit 3D medical image analysis, such as cardiac surface reconstruction. Our code is available at https://github.com/RunkaiZhao/PointNeuron.",
"fno": "934600f776",
"keywords": [
"Biomedical Optical Imaging",
"Brain",
"Cloud Computing",
"Convolutional Neural Nets",
"Graph Neural Networks",
"Image Reconstruction",
"Image Segmentation",
"Medical Image Processing",
"Neurophysiology",
"Optical Microscopy",
"3 D Medical Image Analysis",
"3 D Microscopy Images",
"3 D Neuron Reconstruction",
"Big Neuron Project",
"Brain Connectomics",
"Cardiac Surface Reconstruction",
"Convolution Based Segmentation Networks",
"Digital Neuron Reconstruction",
"Geometric Representation Power",
"Graph Convolutional Network",
"Intrinsic Structural Information",
"Janelia Fly Dataset",
"Neural Skeleton Points",
"Neuron Morphology",
"Noisy Backgrounds",
"Point Cloud",
"Point Coordinates",
"Point Neuron",
"Raw Image Quality",
"Reconstruction Frameworks",
"Segmentation Accuracy",
"Topology Learning",
"Tracing Algorithm",
"Point Cloud Compression",
"Geometry",
"Image Segmentation",
"Surface Reconstruction",
"Three Dimensional Displays",
"Neurons",
"Skeleton",
"Applications Biomedical Healthcare Medicine",
"3 D Computer Vision"
],
"authors": [
{
"affiliation": "University of Sydney",
"fullName": "Runkai Zhao",
"givenName": "Runkai",
"surname": "Zhao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Sydney",
"fullName": "Heng Wang",
"givenName": "Heng",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Sydney",
"fullName": "Chaoyi Zhang",
"givenName": "Chaoyi",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Sydney",
"fullName": "Weidong Cai",
"givenName": "Weidong",
"surname": "Cai",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "wacv",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2023-01-01T00:00:00",
"pubType": "proceedings",
"pages": "5776-5786",
"year": "2023",
"issn": null,
"isbn": "978-1-6654-9346-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1KxUsh6tTEs",
"name": "pwacv202393460-010030223s1-mm_934600f776.zip",
"size": "14.8 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pwacv202393460-010030223s1-mm_934600f776.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "934600f765",
"articleId": "1KxVJO6H8Xe",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "934600f787",
"articleId": "1KxVLLn6tc4",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/bibm/2011/1799/0/06120467",
"title": "3D Neuron Tip Detection in Volumetric Microscopy Images",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2011/06120467/12OmNBK5m7q",
"parentPublication": {
"id": "proceedings/bibm/2011/1799/0",
"title": "2011 IEEE International Conference on Bioinformatics and Biomedicine",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2013/1309/0/06732714",
"title": "A novel seeding method based on spatial sliding volume filter for neuron reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2013/06732714/12OmNwF0BNI",
"parentPublication": {
"id": "proceedings/bibm/2013/1309/0",
"title": "2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccvw/2017/1034/0/1034a126",
"title": "Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/iccvw/2017/1034a126/12OmNyvY9sc",
"parentPublication": {
"id": "proceedings/iccvw/2017/1034/0",
"title": "2017 IEEE International Conference on Computer Vision Workshop (ICCVW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621212",
"title": "Automatic 3D Neuron Tracing Based on Terminations Detection",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621212/17D45VVho2h",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621126",
"title": "Improved V-Net Based Image Segmentation for 3D Neuron Reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621126/17D45WXIkHK",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621482",
"title": "3D Neuron Branch Points Detection in Microscopy Images",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621482/17D45XDIXX3",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0/298000a289",
"title": "Optimization Algorithms in Reconstructions of Neuron Morphology: An Overview",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2019/298000a289/1ehBI4wpbUc",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2019/2980/0",
"title": "2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdm/2019/4604/0/460400a806",
"title": "Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/icdm/2019/460400a806/1h5XMiEOWsw",
"parentPublication": {
"id": "proceedings/icdm/2019/4604/0",
"title": "2019 IEEE International Conference on Data Mining (ICDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvprw/2019/2506/0/250600b105",
"title": "Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2019/250600b105/1iTvodX3iSI",
"parentPublication": {
"id": "proceedings/cvprw/2019/2506/0",
"title": "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dv/2021/2688/0/268800b259",
"title": "Neighborhood-based Neural Implicit Reconstruction from Point Clouds",
"doi": null,
"abstractUrl": "/proceedings-article/3dv/2021/268800b259/1zWEcdiPXxK",
"parentPublication": {
"id": "proceedings/3dv/2021/2688/0",
"title": "2021 International Conference on 3D Vision (3DV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1axf9vWJZZK",
"title": "2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"acronym": "ithings-greencom-cpscom-smartdata",
"groupId": "1800308",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "1axfqBgB2fu",
"doi": "10.1109/Cybermatics_2018.2018.00146",
"title": "Semi-Automatic Neuron Tracing in Electron Microscope Images: Preliminary Results",
"normalizedTitle": "Semi-Automatic Neuron Tracing in Electron Microscope Images: Preliminary Results",
"abstract": "Reconstruction of high-resolution connectomes has been a key approach towards understanding how the brain functions. However, current methods of reconstructing neurons from electron microscope images are either computationally expensive or labor intensive. In this paper, we proposed a novel framework using interactive segmentation as a region extraction method and automatic skeletonization as a morphology fitting method to accelerate neuron tracing, especially for researchers with limited resources. Preliminary user experiments showed that our method could be at least six times more efficient than the manual method, while the cost of computation remains affordable to a small lab.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Reconstruction of high-resolution connectomes has been a key approach towards understanding how the brain functions. However, current methods of reconstructing neurons from electron microscope images are either computationally expensive or labor intensive. In this paper, we proposed a novel framework using interactive segmentation as a region extraction method and automatic skeletonization as a morphology fitting method to accelerate neuron tracing, especially for researchers with limited resources. Preliminary user experiments showed that our method could be at least six times more efficient than the manual method, while the cost of computation remains affordable to a small lab.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Reconstruction of high-resolution connectomes has been a key approach towards understanding how the brain functions. However, current methods of reconstructing neurons from electron microscope images are either computationally expensive or labor intensive. In this paper, we proposed a novel framework using interactive segmentation as a region extraction method and automatic skeletonization as a morphology fitting method to accelerate neuron tracing, especially for researchers with limited resources. Preliminary user experiments showed that our method could be at least six times more efficient than the manual method, while the cost of computation remains affordable to a small lab.",
"fno": "08726820",
"keywords": [
"Biology Computing",
"Brain",
"Feature Extraction",
"Image Reconstruction",
"Image Segmentation",
"Image Thinning",
"Medical Image Processing",
"Neurophysiology",
"Semiautomatic Neuron Tracing",
"Electron Microscope Images",
"High Resolution Connectomes",
"Brain Functions",
"Interactive Segmentation",
"Region Extraction Method",
"Automatic Skeletonization",
"Morphology Fitting Method",
"Neurons Reconstruction",
"Internet Of Things",
"Green Computing",
"Social Computing",
"Blockchain",
"Information Technology",
"Handheld Computers",
"Manganese",
"Connectome",
"Neuron Tracing",
"Region Growing",
"Skeletonization"
],
"authors": [
{
"affiliation": "Zhejiang University, School of Computer Science, Hangzhou, China",
"fullName": "Deli Wang",
"givenName": "Deli",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University, School of Computer Science, Hangzhou, China",
"fullName": "Weijie Liu",
"givenName": "Weijie",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Zhejiang University, Qiushi Academy for Advanced Studies, Hangzhou, China",
"fullName": "Nenggan Zheng",
"givenName": "Nenggan",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, USA",
"fullName": "Ting Zhao",
"givenName": "Ting",
"surname": "Zhao",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ithings-greencom-cpscom-smartdata",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-07-01T00:00:00",
"pubType": "proceedings",
"pages": "733-738",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-7975-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08726772",
"articleId": "1axffdmtkQ0",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08726623",
"articleId": "1axfun7vPeU",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icpr/2002/1695/2/169520278",
"title": "On the Alignment of Transmission Electron Microscope Images without Fiducial Markers",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2002/169520278/12OmNqzu6OV",
"parentPublication": {
"id": "proceedings/icpr/2002/1695/2",
"title": "Pattern Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aero/2011/7350/0/05747297",
"title": "Simulation and characterization of a miniaturized Scanning Electron Microscope",
"doi": null,
"abstractUrl": "/proceedings-article/aero/2011/05747297/12OmNs0kyAj",
"parentPublication": {
"id": "proceedings/aero/2011/7350/0",
"title": "IEEE Aerospace Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbms/2016/9036/0/9036a130",
"title": "Automatic Neuron Tracing Using a Locally Tunable Approach",
"doi": null,
"abstractUrl": "/proceedings-article/cbms/2016/9036a130/12OmNwdbV1n",
"parentPublication": {
"id": "proceedings/cbms/2016/9036/0",
"title": "2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2002/7402/4/05745346",
"title": "Robustness of 3-D maximum likelihood reconstructions of viruses from cryo electron microscope images",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2002/05745346/12OmNxuXcCG",
"parentPublication": {
"id": "proceedings/icassp/2002/7402/4",
"title": "Proceedings of International Conference on Acoustics, Speech and Signal Processing (CASSP'02)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2010/4109/0/4109c420",
"title": "A Scale Estimation Algorithm Using Phase-Based Correspondence Matching for Electron Microscope Images",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2010/4109c420/12OmNz3bdHa",
"parentPublication": {
"id": "proceedings/icpr/2010/4109/0",
"title": "Pattern Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2006/2521/4/252140683",
"title": "Robust Alignment of Transmission Electron Microscope Tilt Series",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2006/252140683/12OmNzahc1u",
"parentPublication": {
"id": "proceedings/icpr/2006/2521/4",
"title": "Pattern Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibm/2018/5488/0/08621212",
"title": "Automatic 3D Neuron Tracing Based on Terminations Detection",
"doi": null,
"abstractUrl": "/proceedings-article/bibm/2018/08621212/17D45VVho2h",
"parentPublication": {
"id": "proceedings/bibm/2018/5488/0",
"title": "2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0/08726494",
"title": "Medical Image Annotation Based on Deep Transfer Learning",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2018/08726494/1axfc84ORgs",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0",
"title": "2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0/08726700",
"title": "A Multi-Objective Data Placement Method for IoT Applications Over Big Data Using NSGA-II",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2018/08726700/1axfjdotPFe",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0",
"title": "2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0/08726503",
"title": "A New Graph Semi-Supervised Learning Method for Medical Image Automatic Annotation",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata/2018/08726503/1axfpUltBOE",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata/2018/7975/0",
"title": "2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1sEXmtsgBs4",
"title": "2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)",
"acronym": "icse",
"groupId": null,
"volume": "0",
"displayVolume": null,
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1sEXoYSv7ag",
"doi": "10.1109/ICSE43902.2021.00101",
"title": "An Empirical Assessment of Global COVID-19 Contact Tracing Applications",
"normalizedTitle": "An Empirical Assessment of Global COVID-19 Contact Tracing Applications",
"abstract": "The rapid spread of COVID-19 has made manual contact tracing difficult. Thus, various public health authorities have experimented with automatic contact tracing using mobile applications (or \"apps\"). These apps, however, have raised security and privacy concerns. In this paper, we propose an automated security and privacy assessment tool - COVIDGUARDIAN - which combines identification and analysis of Personal Identification Information (PII), static program analysis and data flow analysis, to determine security and privacy weaknesses. Furthermore, in light of our findings, we undertake a user study to investigate concerns regarding contact tracing apps. We hope that COVIDGUARDIAN, and the issues raised through responsible disclosure to vendors, can contribute to the safe deployment of mobile contact tracing. As part of this, we offer concrete guidelines, and highlight gaps between user requirements and app performance.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The rapid spread of COVID-19 has made manual contact tracing difficult. Thus, various public health authorities have experimented with automatic contact tracing using mobile applications (or \"apps\"). These apps, however, have raised security and privacy concerns. In this paper, we propose an automated security and privacy assessment tool - COVIDGUARDIAN - which combines identification and analysis of Personal Identification Information (PII), static program analysis and data flow analysis, to determine security and privacy weaknesses. Furthermore, in light of our findings, we undertake a user study to investigate concerns regarding contact tracing apps. We hope that COVIDGUARDIAN, and the issues raised through responsible disclosure to vendors, can contribute to the safe deployment of mobile contact tracing. As part of this, we offer concrete guidelines, and highlight gaps between user requirements and app performance.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The rapid spread of COVID-19 has made manual contact tracing difficult. Thus, various public health authorities have experimented with automatic contact tracing using mobile applications (or \"apps\"). These apps, however, have raised security and privacy concerns. In this paper, we propose an automated security and privacy assessment tool - COVIDGUARDIAN - which combines identification and analysis of Personal Identification Information (PII), static program analysis and data flow analysis, to determine security and privacy weaknesses. Furthermore, in light of our findings, we undertake a user study to investigate concerns regarding contact tracing apps. We hope that COVIDGUARDIAN, and the issues raised through responsible disclosure to vendors, can contribute to the safe deployment of mobile contact tracing. As part of this, we offer concrete guidelines, and highlight gaps between user requirements and app performance.",
"fno": "029600b085",
"keywords": [
"Data Flow Analysis",
"Data Privacy",
"Mobile Computing",
"Program Diagnostics",
"Security Of Data",
"COVIDGUARDIAN",
"Mobile Contact Tracing",
"App Performance",
"Empirical Assessment",
"Global COVID 19 Contact",
"Rapid Spread",
"Manual Contact",
"Public Health Authorities",
"Automatic Contact",
"Mobile Applications",
"Privacy Concerns",
"Automated Security",
"Static Program Analysis",
"Data Flow Analysis",
"Privacy Weaknesses",
"Contact Tracing Apps",
"COVID 19",
"Privacy",
"Data Privacy",
"Telecommunication Traffic",
"Manuals",
"Tools",
"Mobile Applications",
"Mobile Application",
"Software Security Privacy",
"Contact Tracing",
"COVID 19"
],
"authors": [
{
"affiliation": "The University of Adelaide, Australia",
"fullName": "Ruoxi Sun",
"givenName": "Ruoxi",
"surname": "Sun",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The University of Adelaide, Australia",
"fullName": "Wei Wang",
"givenName": "Wei",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The University of Adelaide, Australia",
"fullName": "Minhui Xue",
"givenName": "Minhui",
"surname": "Xue",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Queen Mary University of London, United Kingdom",
"fullName": "Gareth Tyson",
"givenName": "Gareth",
"surname": "Tyson",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "CSIRO-Data61, Australia",
"fullName": "Seyit Camtepe",
"givenName": "Seyit",
"surname": "Camtepe",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The University of Adelaide, Australia",
"fullName": "Damith C. Ranasinghe",
"givenName": "Damith C.",
"surname": "Ranasinghe",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icse",
"isOpenAccess": true,
"showRecommendedArticles": true,
"showBuyMe": false,
"hasPdf": true,
"pubDate": "2021-05-01T00:00:00",
"pubType": "proceedings",
"pages": "1085-1097",
"year": "2021",
"issn": "1558-1225",
"isbn": "978-1-6654-0296-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "029600b072",
"articleId": "1sEXoXMEZ4Q",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "029600b098",
"articleId": "1sEXoZXurRu",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "mags/it/2022/01/09717336",
"title": "iTrace: When IOTA Meets COVID-19 Contact Tracing",
"doi": null,
"abstractUrl": "/magazine/it/2022/01/09717336/1BaW3h0sFLW",
"parentPublication": {
"id": "mags/it",
"title": "IT Professional",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iucc-cit-dsci-smartcns/2021/6667/0/666700a288",
"title": "Privacy Preservation of COVID-19 Contact Tracing Data",
"doi": null,
"abstractUrl": "/proceedings-article/iucc-cit-dsci-smartcns/2021/666700a288/1BrAL0eIKJy",
"parentPublication": {
"id": "proceedings/iucc-cit-dsci-smartcns/2021/6667/0",
"title": "2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mdm/2022/5176/0/517600a001",
"title": "Mobile Applications for Privacy-Preserving Digital Contact Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/mdm/2022/517600a001/1G89IBuyuAw",
"parentPublication": {
"id": "proceedings/mdm/2022/5176/0",
"title": "2022 23rd IEEE International Conference on Mobile Data Management (MDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/ic/2023/02/10012541",
"title": "When Privacy, Distrust, and Misinformation Cause Worry About Using COVID-19 Contact-Tracing Apps",
"doi": null,
"abstractUrl": "/magazine/ic/2023/02/10012541/1JNmEcLmQXC",
"parentPublication": {
"id": "mags/ic",
"title": "IEEE Internet Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asew/2020/8128/0/812800a079",
"title": "Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps",
"doi": null,
"abstractUrl": "/proceedings-article/asew/2020/812800a079/1qyxO9UfmjC",
"parentPublication": {
"id": "proceedings/asew/2020/8128/0",
"title": "2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse-companion/2021/1219/0/121900a173",
"title": "An Empirical Assessment of Global COVID-19 Contact Tracing Applications",
"doi": null,
"abstractUrl": "/proceedings-article/icse-companion/2021/121900a173/1sET6C7lwLm",
"parentPublication": {
"id": "proceedings/icse-companion/2021/1219/0/",
"title": "2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/saner/2021/9630/0/963000a723",
"title": "Blockchain and Contact Tracing Applications for COVID-19: The Opportunity and The Challenges",
"doi": null,
"abstractUrl": "/proceedings-article/saner/2021/963000a723/1twfswAOrXq",
"parentPublication": {
"id": "proceedings/saner/2021/9630/0",
"title": "2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/sp/2021/04/09475183",
"title": "Balancing Public Health and Civil Liberties: Privacy Aspects of Contact-Tracing Technologies",
"doi": null,
"abstractUrl": "/magazine/sp/2021/04/09475183/1uZsi354Mgg",
"parentPublication": {
"id": "mags/sp",
"title": "IEEE Security & Privacy",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/pc/2021/04/09580462",
"title": "COVID-19 One Year on – Security and Privacy Review of Contact Tracing Mobile Apps",
"doi": null,
"abstractUrl": "/magazine/pc/2021/04/09580462/1xPnXHkqv4Y",
"parentPublication": {
"id": "mags/pc",
"title": "IEEE Pervasive Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/re/2021/2856/0/285600a106",
"title": "The Rise and Fall of COVID-19 Contact-Tracing Apps: when NFRs Collide with Pandemic",
"doi": null,
"abstractUrl": "/proceedings-article/re/2021/285600a106/1yDjKsXkaSQ",
"parentPublication": {
"id": "proceedings/re/2021/2856/0",
"title": "2021 IEEE 29th International Requirements Engineering Conference (RE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzSh1aC",
"title": "2012 Third International Conference on Digital Manufacturing & Automation",
"acronym": "icdma",
"groupId": "1800272",
"volume": "0",
"displayVolume": "0",
"year": "2012",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNB836Ua",
"doi": "10.1109/ICDMA.2012.72",
"title": "Correlation Method Research and Its Application on Side Impact",
"normalizedTitle": "Correlation Method Research and Its Application on Side Impact",
"abstract": "In the vehicle development, the finite element (FE) simulation method about vehicle crashworthiness has been widely used. But how to reach a good correlation level is something that needs to be studied. Based on one car physical side impact test, through analysis of the correlation method between simulation and test we find a useful way to increase the correlation level. By following this correlation method strictly, we got a high correlation level between simulation and test than ever before. I It proved that this correlation method is very effective and cost saving.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In the vehicle development, the finite element (FE) simulation method about vehicle crashworthiness has been widely used. But how to reach a good correlation level is something that needs to be studied. Based on one car physical side impact test, through analysis of the correlation method between simulation and test we find a useful way to increase the correlation level. By following this correlation method strictly, we got a high correlation level between simulation and test than ever before. I It proved that this correlation method is very effective and cost saving.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In the vehicle development, the finite element (FE) simulation method about vehicle crashworthiness has been widely used. But how to reach a good correlation level is something that needs to be studied. Based on one car physical side impact test, through analysis of the correlation method between simulation and test we find a useful way to increase the correlation level. By following this correlation method strictly, we got a high correlation level between simulation and test than ever before. I It proved that this correlation method is very effective and cost saving.",
"fno": "4772a297",
"keywords": [
"Vehicles",
"Correlation",
"Iron",
"Solid Modeling",
"Welding",
"Load Modeling",
"Injuries",
"Side Impact",
"FE",
"Correlation Analysis"
],
"authors": [
{
"affiliation": null,
"fullName": "Huifeng Zhou",
"givenName": "Huifeng",
"surname": "Zhou",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Honggang Zhang",
"givenName": "Honggang",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Hanbin Du",
"givenName": "Hanbin",
"surname": "Du",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Ping Ye",
"givenName": "Ping",
"surname": "Ye",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Dazhi Wang",
"givenName": "Dazhi",
"surname": "Wang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icdma",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2012-07-01T00:00:00",
"pubType": "proceedings",
"pages": "297-300",
"year": "2012",
"issn": null,
"isbn": "978-1-4673-2217-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4772a293",
"articleId": "12OmNz2TCGR",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4772a301",
"articleId": "12OmNCdBDX7",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/gcis/2009/3571/2/3571b408",
"title": "Multisensor Correlation Analysis and its Application in Coal Mines",
"doi": null,
"abstractUrl": "/proceedings-article/gcis/2009/3571b408/12OmNAq3hMT",
"parentPublication": {
"id": "proceedings/gcis/2009/3571/2",
"title": "2009 WRI Global Congress on Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2013/4932/0/4932b031",
"title": "Study of Vehicle Front Structure Crashworthiness Based on Pole Impact with Different Position",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2013/4932b031/12OmNBkP3EG",
"parentPublication": {
"id": "proceedings/icmtma/2013/4932/0",
"title": "2013 Fifth International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdma/2012/4772/0/4772a586",
"title": "Optimization of Thorax-Pelvic Airbag for Occupant Safety in Vehicle Side Impact",
"doi": null,
"abstractUrl": "/proceedings-article/icdma/2012/4772a586/12OmNCdk2Wd",
"parentPublication": {
"id": "proceedings/icdma/2012/4772/0",
"title": "2012 Third International Conference on Digital Manufacturing & Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2016/2312/0/2312a643",
"title": "Study on Head Impact Injury Evaluation Index of Vehicle Interior Fittings",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2016/2312a643/12OmNCmpcEx",
"parentPublication": {
"id": "proceedings/icmtma/2016/2312/0",
"title": "2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdma/2012/4772/0/4772a767",
"title": "Simulation Analysis of the Rear Seat Female in Front Impact",
"doi": null,
"abstractUrl": "/proceedings-article/icdma/2012/4772a767/12OmNqJ8tba",
"parentPublication": {
"id": "proceedings/icdma/2012/4772/0",
"title": "2012 Third International Conference on Digital Manufacturing & Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2017/4868/0/07832247",
"title": "Study on the Relationship between Intrusion Velocity and Occupant Injury of Side Impact",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2017/07832247/12OmNwc3wxM",
"parentPublication": {
"id": "proceedings/icmtma/2017/4868/0",
"title": "2017 9th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icinis/2010/4249/0/4249a450",
"title": "Research on Finite Element Model of Moving Deformable Barrier in Side Impact",
"doi": null,
"abstractUrl": "/proceedings-article/icinis/2010/4249a450/12OmNxRnvR1",
"parentPublication": {
"id": "proceedings/icinis/2010/4249/0",
"title": "Intelligent Networks and Intelligent Systems, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdma/2012/4772/0/4772a144",
"title": "A Study on Rear Seat Occupant Injuries in Side Impact",
"doi": null,
"abstractUrl": "/proceedings-article/icdma/2012/4772a144/12OmNxecS0k",
"parentPublication": {
"id": "proceedings/icdma/2012/4772/0",
"title": "2012 Third International Conference on Digital Manufacturing & Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdma/2012/4772/0/4772a021",
"title": "A Comparative Study on Biofidelity between TRL and LSTC Legform Impactor",
"doi": null,
"abstractUrl": "/proceedings-article/icdma/2012/4772a021/12OmNyrqzvi",
"parentPublication": {
"id": "proceedings/icdma/2012/4772/0",
"title": "2012 Third International Conference on Digital Manufacturing & Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iita/2008/3497/1/3497a275",
"title": "Study on Phase Correlation Algorithm in Intelligent Transportation Systems",
"doi": null,
"abstractUrl": "/proceedings-article/iita/2008/3497a275/12OmNzlD98t",
"parentPublication": {
"id": "proceedings/iita/2008/3497/3",
"title": "2008 Second International Symposium on Intelligent Information Technology Application",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAkEU3p",
"title": "Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.",
"acronym": "cvpr",
"groupId": "1000147",
"volume": "1",
"displayVolume": "1",
"year": "2004",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNBv2Cmc",
"doi": "10.1109/CVPR.2004.1315021",
"title": "Automatic method for correlating horizons across faults in 3D seismic data",
"normalizedTitle": "Automatic method for correlating horizons across faults in 3D seismic data",
"abstract": "Horizons are visible boundaries between certain sediment layers in seismic data, and a fault is a crack of horizons and it is recognized in seismic data by the discontinuities of horizons layers. Interpretation of seismic data is a time-consuming manual task which is only partially supported by computer methods. In this paper, we present an automatic method for horizon correlation across faults in 3D seismic data. As automating horizons correlations using only seismic data features is not feasible, we reformulated the correlation task as a non-rigid continuous point matching problem. Seismic features on both sides of the fault are gathered and an optimal match is found based on geological fault displacement model. One side of the fault is the floating image while the other side is the reference image. First, very prominent regions on both sides are automatically extracted and a match between them is found. Sparse fault displacements are then computed for these regions and they are used to calculate parameters for the fault displacement model. A multi-resolution simulated annealing optimization scheme is then used for the continuous point matching. The method was applied to real 3D seismic data, and has shown to produce geologically acceptable horizons correlations.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Horizons are visible boundaries between certain sediment layers in seismic data, and a fault is a crack of horizons and it is recognized in seismic data by the discontinuities of horizons layers. Interpretation of seismic data is a time-consuming manual task which is only partially supported by computer methods. In this paper, we present an automatic method for horizon correlation across faults in 3D seismic data. As automating horizons correlations using only seismic data features is not feasible, we reformulated the correlation task as a non-rigid continuous point matching problem. Seismic features on both sides of the fault are gathered and an optimal match is found based on geological fault displacement model. One side of the fault is the floating image while the other side is the reference image. First, very prominent regions on both sides are automatically extracted and a match between them is found. Sparse fault displacements are then computed for these regions and they are used to calculate parameters for the fault displacement model. A multi-resolution simulated annealing optimization scheme is then used for the continuous point matching. The method was applied to real 3D seismic data, and has shown to produce geologically acceptable horizons correlations.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Horizons are visible boundaries between certain sediment layers in seismic data, and a fault is a crack of horizons and it is recognized in seismic data by the discontinuities of horizons layers. Interpretation of seismic data is a time-consuming manual task which is only partially supported by computer methods. In this paper, we present an automatic method for horizon correlation across faults in 3D seismic data. As automating horizons correlations using only seismic data features is not feasible, we reformulated the correlation task as a non-rigid continuous point matching problem. Seismic features on both sides of the fault are gathered and an optimal match is found based on geological fault displacement model. One side of the fault is the floating image while the other side is the reference image. First, very prominent regions on both sides are automatically extracted and a match between them is found. Sparse fault displacements are then computed for these regions and they are used to calculate parameters for the fault displacement model. A multi-resolution simulated annealing optimization scheme is then used for the continuous point matching. The method was applied to real 3D seismic data, and has shown to produce geologically acceptable horizons correlations.",
"fno": "01315021",
"keywords": [
"Geophysical Signal Processing",
"Seismology",
"Image Matching",
"Image Resolution",
"Simulated Annealing",
"Correlation Methods",
"Automatic Horizon Correlation Method",
"3 D Seismic Data",
"Sediment Layers",
"Data Interpretation",
"Computer Methods",
"Nonrigid Continuous Point Matching",
"Geological Fault Displacement Model",
"Floating Image",
"Reference Image",
"Fault Displacements",
"Multiresolution Simulated Annealing",
"Optimization",
"Computer Vision",
"Geology",
"Acoustic Reflection",
"Image Analysis",
"Geologic Measurements",
"Seismic Measurements",
"Seismic Waves",
"Image Segmentation",
"Sediments",
"Optimal Matching"
],
"authors": [
{
"affiliation": "Comput. Vision Group, Univ. of Magdeburg, Germany",
"fullName": "F. Admasu",
"givenName": "F.",
"surname": "Admasu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Comput. Vision Group, Univ. of Magdeburg, Germany",
"fullName": "K. Toennies",
"givenName": "K.",
"surname": "Toennies",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cvpr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2004-01-01T00:00:00",
"pubType": "proceedings",
"pages": "I-114-I-119 Vol.1",
"year": "2004",
"issn": "1063-6919",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "01315020",
"articleId": "12OmNqJq4uZ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "01315022",
"articleId": "12OmNAFFdHq",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdma/2013/5016/0/5016a235",
"title": "Analysis on Seismic Property of Steel Frame",
"doi": null,
"abstractUrl": "/proceedings-article/icdma/2013/5016a235/12OmNCwlamk",
"parentPublication": {
"id": "proceedings/icdma/2013/5016/0",
"title": "2013 Fourth International Conference on Digital Manufacturing & Automation (ICDMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdma/2013/5016/0/5016a238",
"title": "Analysis on Seismic Property of Steel Frame-Steel Plate Shear Wall with Slit",
"doi": null,
"abstractUrl": "/proceedings-article/icdma/2013/5016a238/12OmNrJiCJ8",
"parentPublication": {
"id": "proceedings/icdma/2013/5016/0",
"title": "2013 Fourth International Conference on Digital Manufacturing & Automation (ICDMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2011/935/0/05742373",
"title": "Interactive seismic interpretation with piecewise global energy minimization",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2011/05742373/12OmNrNh0AL",
"parentPublication": {
"id": "proceedings/pacificvis/2011/935/0",
"title": "2011 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iiaiaai/2014/4174/0/06913337",
"title": "Analysis of the Poisson Distribution Applicability to the Japanese Seismic Activity",
"doi": null,
"abstractUrl": "/proceedings-article/iiaiaai/2014/06913337/12OmNxGSm4h",
"parentPublication": {
"id": "proceedings/iiaiaai/2014/4174/0",
"title": "2014 IIAI 3rd International Conference on Advanced Applied Informatics (IIAIAAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isdea/2013/4893/0/06455595",
"title": "Seismic Response Analysis of Deeply Embedded Large Diameter Cylindrical Structure",
"doi": null,
"abstractUrl": "/proceedings-article/isdea/2013/06455595/12OmNxj23cU",
"parentPublication": {
"id": "proceedings/isdea/2013/4893/0",
"title": "2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA 2013)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2011/4501/0/4501a893",
"title": "Seismic Response of Metro Tunnel in Beijing Stratum",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2011/4501a893/12OmNxwENkQ",
"parentPublication": {
"id": "proceedings/iccis/2011/4501/0",
"title": "2011 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isuma/1995/7126/0/71260449",
"title": "Nonstationary seismic response of highway bridges supported on columns",
"doi": null,
"abstractUrl": "/proceedings-article/isuma/1995/71260449/12OmNy4r3T4",
"parentPublication": {
"id": "proceedings/isuma/1995/7126/0",
"title": "Uncertainty Modeling and Analysis, International Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dpvt/2006/2825/0/282500695",
"title": "Exploiting 3D Spatial Continuity for Robust Automatic Horizon Matching across Faults",
"doi": null,
"abstractUrl": "/proceedings-article/3dpvt/2006/282500695/12OmNy87Qsy",
"parentPublication": {
"id": "proceedings/3dpvt/2006/2825/0",
"title": "Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icitbs/2020/6698/0/669800a191",
"title": "Seismic Fragility Analysis of Simply Supported Beam Bridges with Precast Columns",
"doi": null,
"abstractUrl": "/proceedings-article/icitbs/2020/669800a191/1kuHTtgvVyU",
"parentPublication": {
"id": "proceedings/icitbs/2020/6698/0",
"title": "2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAZx8TO",
"title": "2009 International Conference on Artificial Intelligence and Computational Intelligence",
"acronym": "aici",
"groupId": "1003069",
"volume": "3",
"displayVolume": "3",
"year": "2009",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNCuDztO",
"doi": "10.1109/AICI.2009.489",
"title": "Digital Image Stabilization Based on Phase Correlation",
"normalizedTitle": "Digital Image Stabilization Based on Phase Correlation",
"abstract": "In this paper, we present a method for digital image stabilization based on Fourier-Mellin transform and phase correlation. We acquire the rotating angle and scaling factor firstly by phase correlation between Fourier-Mellin transform images of the reference and observed images. After rotating and scaling the observed image, implement the phase correlation again to compute the spacial translation. Because of spectral periodicity, the correlation between Fourier-Mellin transform images will be weaken and maybe lead to wrong result when the rotating angle is close to 90°. So we add a coarse search before phase correlation to avoid this situation. And we use a smooth window to reduce the noise in phase correlation. Furthermore, a coordinate mapping chart is recommended to avoid the unnecessary computation cost during creating log-polar image. The experiment results show the proposed method can acquire accurate motion parameters between two adjacent frames.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper, we present a method for digital image stabilization based on Fourier-Mellin transform and phase correlation. We acquire the rotating angle and scaling factor firstly by phase correlation between Fourier-Mellin transform images of the reference and observed images. After rotating and scaling the observed image, implement the phase correlation again to compute the spacial translation. Because of spectral periodicity, the correlation between Fourier-Mellin transform images will be weaken and maybe lead to wrong result when the rotating angle is close to 90°. So we add a coarse search before phase correlation to avoid this situation. And we use a smooth window to reduce the noise in phase correlation. Furthermore, a coordinate mapping chart is recommended to avoid the unnecessary computation cost during creating log-polar image. The experiment results show the proposed method can acquire accurate motion parameters between two adjacent frames.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper, we present a method for digital image stabilization based on Fourier-Mellin transform and phase correlation. We acquire the rotating angle and scaling factor firstly by phase correlation between Fourier-Mellin transform images of the reference and observed images. After rotating and scaling the observed image, implement the phase correlation again to compute the spacial translation. Because of spectral periodicity, the correlation between Fourier-Mellin transform images will be weaken and maybe lead to wrong result when the rotating angle is close to 90°. So we add a coarse search before phase correlation to avoid this situation. And we use a smooth window to reduce the noise in phase correlation. Furthermore, a coordinate mapping chart is recommended to avoid the unnecessary computation cost during creating log-polar image. The experiment results show the proposed method can acquire accurate motion parameters between two adjacent frames.",
"fno": "3816c485",
"keywords": [
"Image Stabilization",
"Fourier Mellin Transform",
"Phase Correlation"
],
"authors": [
{
"affiliation": null,
"fullName": "Ruiming Jia",
"givenName": "Ruiming",
"surname": "Jia",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Hong Zhang",
"givenName": "Hong",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Lei Wang",
"givenName": "Lei",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Junwei Li",
"givenName": "Junwei",
"surname": "Li",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "aici",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2009-11-01T00:00:00",
"pubType": "proceedings",
"pages": "485-489",
"year": "2009",
"issn": null,
"isbn": "978-0-7695-3816-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3816c480",
"articleId": "12OmNx38vPs",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3816c490",
"articleId": "12OmNAle6iN",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iciip/2015/0148/0/07414778",
"title": "An improved DCT-based phase correlation method for image mosaicing",
"doi": null,
"abstractUrl": "/proceedings-article/iciip/2015/07414778/12OmNASILDY",
"parentPublication": {
"id": "proceedings/iciip/2015/0148/0",
"title": "2015 Third International Conference on Image Information Processing (ICIIP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fbie/2008/3561/0/3561a052",
"title": "Simple and Robust Digital Holography Used for Phase Imaging",
"doi": null,
"abstractUrl": "/proceedings-article/fbie/2008/3561a052/12OmNAtaS0z",
"parentPublication": {
"id": "proceedings/fbie/2008/3561/0",
"title": "2008 International Seminar on Future Biomedical Information Engineering (FBIE 2008)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdh/2012/4899/0/4899a274",
"title": "Medical Image Mosaic Technology Based on Image Phase Correlation",
"doi": null,
"abstractUrl": "/proceedings-article/icdh/2012/4899a274/12OmNCmpcF7",
"parentPublication": {
"id": "proceedings/icdh/2012/4899/0",
"title": "4th International Conference on Digital Home (ICDH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dsd/2008/3277/0/3277a195",
"title": "Design of a Two Dimensional PRSI Image Processor",
"doi": null,
"abstractUrl": "/proceedings-article/dsd/2008/3277a195/12OmNrIaefs",
"parentPublication": {
"id": "proceedings/dsd/2008/3277/0",
"title": "2008 11th EUROMICRO Conference on Digital System Design Architectures, Methods and Tools",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2008/2174/0/04761734",
"title": "Medical image registration using Phase-Only Correlation for distorted dental radiographs",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2008/04761734/12OmNvSbBHh",
"parentPublication": {
"id": "proceedings/icpr/2008/2174/0",
"title": "ICPR 2008 19th International Conference on Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2010/4109/0/4109c085",
"title": "A Geometric Invariant Shape Descriptor Based on the Radon, Fourier, and Mellin Transforms",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2010/4109c085/12OmNwMXnnY",
"parentPublication": {
"id": "proceedings/icpr/2010/4109/0",
"title": "Pattern Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csie/2009/3507/6/3507f554",
"title": "The Image Stabilization Based on the Line Characters",
"doi": null,
"abstractUrl": "/proceedings-article/csie/2009/3507f554/12OmNwbukfP",
"parentPublication": {
"id": null,
"title": null,
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isda/2006/2528/2/252820379",
"title": "Fingerprint Matching Using Phase-Only Correlation and Fourier-Mellin Transforms",
"doi": null,
"abstractUrl": "/proceedings-article/isda/2006/252820379/12OmNxaNGhZ",
"parentPublication": {
"id": "proceedings/isda/2006/2528/2",
"title": "Intelligent Systems Design and Applications, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icetet/2010/4246/0/4246a476",
"title": "Generalized Two-Dimensional Fourier-Mellin Transform and Pattern Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icetet/2010/4246a476/12OmNyL0Tkd",
"parentPublication": {
"id": "proceedings/icetet/2010/4246/0",
"title": "Emerging Trends in Engineering & Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/1994/12/i1156",
"title": "Symmetric Phase-Only Matched Filtering of Fourier-Mellin Transforms for Image Registration and Recognition",
"doi": null,
"abstractUrl": "/journal/tp/1994/12/i1156/13rRUIJuxw8",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNBUAvV0",
"title": "2013 Fourth International Conference on Digital Manufacturing & Automation (ICDMA)",
"acronym": "icdma",
"groupId": "1800272",
"volume": "0",
"displayVolume": "0",
"year": "2013",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNscxj50",
"doi": "10.1109/ICDMA.2013.234",
"title": "Research and Application of Dynamic Risk Assessment Model for Tunnel Construction of Thin Layered Rock",
"normalizedTitle": "Research and Application of Dynamic Risk Assessment Model for Tunnel Construction of Thin Layered Rock",
"abstract": "As a result of the risk and uncertainty of underground engineering itself, a large number of risks had effected the tunnel construction which is complex between mutual relationship, Established risk dynamic assessment system of tunnel construction on thin layered rock, from risk factors as geological conditions, construction methods, technology and management to assess and manage the risks dynamically, that could reduce the risk level from high to low effectively and to reach security, stability construction requirements. Specific case of dynamic risk management and assessment system of thin layered rock in tunnel construction could proof it validity.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As a result of the risk and uncertainty of underground engineering itself, a large number of risks had effected the tunnel construction which is complex between mutual relationship, Established risk dynamic assessment system of tunnel construction on thin layered rock, from risk factors as geological conditions, construction methods, technology and management to assess and manage the risks dynamically, that could reduce the risk level from high to low effectively and to reach security, stability construction requirements. Specific case of dynamic risk management and assessment system of thin layered rock in tunnel construction could proof it validity.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "As a result of the risk and uncertainty of underground engineering itself, a large number of risks had effected the tunnel construction which is complex between mutual relationship, Established risk dynamic assessment system of tunnel construction on thin layered rock, from risk factors as geological conditions, construction methods, technology and management to assess and manage the risks dynamically, that could reduce the risk level from high to low effectively and to reach security, stability construction requirements. Specific case of dynamic risk management and assessment system of thin layered rock in tunnel construction could proof it validity.",
"fno": "5016b001",
"keywords": [
"Rocks",
"Risk Management",
"Indexes",
"Tunneling",
"Geologic Measurements",
"Temperature Measurement",
"Management Indexes",
"Dynamic Risk Assessment Model",
"Thin Layered Rock",
"Assessment Indexes"
],
"authors": [
{
"affiliation": null,
"fullName": "Yao Hou",
"givenName": "Yao",
"surname": "Hou",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icdma",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2013-06-01T00:00:00",
"pubType": "proceedings",
"pages": "1001-1004",
"year": "2013",
"issn": null,
"isbn": "978-0-7695-5016-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "5016a997",
"articleId": "12OmNyfdOY8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "5016b005",
"articleId": "12OmNyjccAy",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icitbs/2015/0464/0/0464a764",
"title": "Study on Finite Element Numerical Simulation of Shallow Buried Tunnel Based on Displacement Back Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icitbs/2015/0464a764/12OmNBCHMHP",
"parentPublication": {
"id": "proceedings/icitbs/2015/0464/0",
"title": "2015 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicta/2014/6636/0/6636a809",
"title": "The Parameter Back Analysis of Rock Mass Based on Orthogonal Design",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2014/6636a809/12OmNBa2izO",
"parentPublication": {
"id": "proceedings/icicta/2014/6636/0",
"title": "2014 7th International Conference on Intelligent Computation Technology and Automation (ICICTA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdma/2013/5016/0/5016b171",
"title": "Risk Identification for Collapse of Tunnel During Construction and the Countermeasures",
"doi": null,
"abstractUrl": "/proceedings-article/icdma/2013/5016b171/12OmNxEBzdX",
"parentPublication": {
"id": "proceedings/icdma/2013/5016/0",
"title": "2013 Fourth International Conference on Digital Manufacturing & Automation (ICDMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icitbs/2015/0464/0/0464a692",
"title": "Risk Assessment in Tunnel Portal Based on Fuzzy AHP Comprehensive Evaluation",
"doi": null,
"abstractUrl": "/proceedings-article/icitbs/2015/0464a692/12OmNxEjXQH",
"parentPublication": {
"id": "proceedings/icitbs/2015/0464/0",
"title": "2015 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isdea/2013/4893/0/06457293",
"title": "Study on Influence Factors of Crossing Railway Tunnel Excavation",
"doi": null,
"abstractUrl": "/proceedings-article/isdea/2013/06457293/12OmNy6HQVk",
"parentPublication": {
"id": "proceedings/isdea/2013/4893/0",
"title": "2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA 2013)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2015/7143/0/7143a943",
"title": "Research on Tunnel Disaster Risk Prediction with Extenics Evaluation Based on Rough Set",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2015/7143a943/12OmNyY4rkM",
"parentPublication": {
"id": "proceedings/icmtma/2015/7143/0",
"title": "2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsgea/2016/3578/0/07733867",
"title": "The Lining Pressure of Bedding Rock Jointing Tunnel Distribute Characteristics",
"doi": null,
"abstractUrl": "/proceedings-article/icsgea/2016/07733867/12OmNylKAKd",
"parentPublication": {
"id": "proceedings/icsgea/2016/3578/0",
"title": "2016 International Conference on Smart Grid and Electrical Automation (ICSGEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isdea/2013/4893/0/06456033",
"title": "Study on the Catastrophe Model of the Surrounding Rock and Simulating the Constructing Process by DEM in Gonghe Tunnel",
"doi": null,
"abstractUrl": "/proceedings-article/isdea/2013/06456033/12OmNzX6cmU",
"parentPublication": {
"id": "proceedings/isdea/2013/4893/0",
"title": "2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA 2013)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isdea/2014/4261/0/4261a314",
"title": "Construction Risk Evaluation of Tunnel Based on the GPR Geological Forecast",
"doi": null,
"abstractUrl": "/proceedings-article/isdea/2014/4261a314/12OmNzXFoF1",
"parentPublication": {
"id": "proceedings/isdea/2014/4261/0",
"title": "2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icris/2019/2632/0/263200a443",
"title": "Prediction of Surrounding Rock Classification of Highway Tunnel Based on PSO-SVM",
"doi": null,
"abstractUrl": "/proceedings-article/icris/2019/263200a443/1cI6nnmrZrq",
"parentPublication": {
"id": "proceedings/icris/2019/2632/0",
"title": "2019 International Conference on Robots & Intelligent System (ICRIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxvO07I",
"title": "2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI)",
"acronym": "ictai",
"groupId": "1000763",
"volume": "0",
"displayVolume": "0",
"year": "2014",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNx5piQi",
"doi": "10.1109/ICTAI.2014.29",
"title": "An Ontology-Based Automatic Approach for Lithologic Correlation",
"normalizedTitle": "An Ontology-Based Automatic Approach for Lithologic Correlation",
"abstract": "In this paper we present an automatic approach for the litho logic correlation task, which is a crucial task in the domain of Petroleum Geology. In our approach, we consider the litho logic correlation task as formally equivalent to the task of DNA sequence alignment, in the domain of Bioinformatics. This allows us to use well-known sequence alignment algorithms for dealing with this task. Moreover, our approach uses a domain ontology for representing the knowledge about the domain objects. This ensures an agreement regarding the formal vocabulary used for describing the geological objects, allowing us to deal with the data collected by different geologists in a homogeneous way. Finally, we also use clustering techniques for finding groups of geological objects that are sufficiently similar for being correlated by the sequence alignment algorithms. We discuss some results of the application of our approach to a real dataset.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper we present an automatic approach for the litho logic correlation task, which is a crucial task in the domain of Petroleum Geology. In our approach, we consider the litho logic correlation task as formally equivalent to the task of DNA sequence alignment, in the domain of Bioinformatics. This allows us to use well-known sequence alignment algorithms for dealing with this task. Moreover, our approach uses a domain ontology for representing the knowledge about the domain objects. This ensures an agreement regarding the formal vocabulary used for describing the geological objects, allowing us to deal with the data collected by different geologists in a homogeneous way. Finally, we also use clustering techniques for finding groups of geological objects that are sufficiently similar for being correlated by the sequence alignment algorithms. We discuss some results of the application of our approach to a real dataset.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper we present an automatic approach for the litho logic correlation task, which is a crucial task in the domain of Petroleum Geology. In our approach, we consider the litho logic correlation task as formally equivalent to the task of DNA sequence alignment, in the domain of Bioinformatics. This allows us to use well-known sequence alignment algorithms for dealing with this task. Moreover, our approach uses a domain ontology for representing the knowledge about the domain objects. This ensures an agreement regarding the formal vocabulary used for describing the geological objects, allowing us to deal with the data collected by different geologists in a homogeneous way. Finally, we also use clustering techniques for finding groups of geological objects that are sufficiently similar for being correlated by the sequence alignment algorithms. We discuss some results of the application of our approach to a real dataset.",
"fno": "6572a130",
"keywords": [
"Correlation",
"Clustering Algorithms",
"Ontologies",
"Rocks",
"DNA",
"Grain Size",
"Petroleum Geology",
"Sequence Alignment",
"Clustering",
"Data Mining",
"Ontology"
],
"authors": [
{
"affiliation": null,
"fullName": "Luan Fonseca Garcia",
"givenName": "Luan Fonseca",
"surname": "Garcia",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Joel Luis Carbonera",
"givenName": "Joel Luis",
"surname": "Carbonera",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Mara Abel",
"givenName": "Mara",
"surname": "Abel",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ictai",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2014-11-01T00:00:00",
"pubType": "proceedings",
"pages": "130-137",
"year": "2014",
"issn": "1082-3409",
"isbn": "978-1-4799-6572-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "6572a122",
"articleId": "12OmNzwpUk2",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "6572a138",
"articleId": "12OmNz6iOPO",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ictai/2016/4459/0/4459b084",
"title": "An Ontology-Based Conceptual Framework to Improve Rock Data Quality in Reservoir Models",
"doi": null,
"abstractUrl": "/proceedings-article/ictai/2016/4459b084/12OmNAWH9HW",
"parentPublication": {
"id": "proceedings/ictai/2016/4459/0",
"title": "2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iri/2016/3207/0/3207a384",
"title": "An Approach to Ontology Integration for Ontology Reuse",
"doi": null,
"abstractUrl": "/proceedings-article/iri/2016/3207a384/12OmNAhOUJe",
"parentPublication": {
"id": "proceedings/iri/2016/3207/0",
"title": "2016 IEEE 17th International Conference on Information Reuse and Integration (IRI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2012/4789/0/4789b286",
"title": "Research on Reservoir Sedimentary and Pore Characteristics of Chang 6 in Wuqi Oilfield",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2012/4789b286/12OmNAle6In",
"parentPublication": {
"id": "proceedings/iccis/2012/4789/0",
"title": "2012 Fourth International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwsc/2013/6445/0/06613032",
"title": "Light-weight ontology alignment using best-match clone detection",
"doi": null,
"abstractUrl": "/proceedings-article/iwsc/2013/06613032/12OmNAle6ZK",
"parentPublication": {
"id": "proceedings/iwsc/2013/6445/0",
"title": "2013 7th International Workshop on Software Clones (IWSC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/skg/2012/4794/0/4794a261",
"title": "Exploring OWL-DL Primitives for Automatic Ontology Alignment Tools Parametrization",
"doi": null,
"abstractUrl": "/proceedings-article/skg/2012/4794a261/12OmNAndinA",
"parentPublication": {
"id": "proceedings/skg/2012/4794/0",
"title": "Semantics, Knowledge and Grid, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsc/2016/0662/0/0662a096",
"title": "An Innovative Statistical Tool for Automatic OWL-ERD Alignment",
"doi": null,
"abstractUrl": "/proceedings-article/icsc/2016/0662a096/12OmNBZHihk",
"parentPublication": {
"id": "proceedings/icsc/2016/0662/0",
"title": "2016 IEEE Tenth International Conference on Semantic Computing (ICSC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsc/2016/0662/0/0662a354",
"title": "IMOD-Ont: Towards an Ontology for Instructional Module Design",
"doi": null,
"abstractUrl": "/proceedings-article/icsc/2016/0662a354/12OmNwx3Qdw",
"parentPublication": {
"id": "proceedings/icsc/2016/0662/0",
"title": "2016 IEEE Tenth International Conference on Semantic Computing (ICSC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2013/5004/0/5004a268",
"title": "A Study of Spatial Information Sharing Model Based on Geological Hazard Domain Ontology",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2013/5004a268/12OmNySG3R6",
"parentPublication": {
"id": "proceedings/iccis/2013/5004/0",
"title": "2013 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09234473",
"title": "InCorr: Interactive Data-Driven Correlation Panels for Digital Outcrop Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09234473/1o6HDND936U",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdsba/2020/8164/0/816400a125",
"title": "A Path Planning Algorithm Based on Improved RRT for Lunar Subsurface Autonomous Burrowing Robot",
"doi": null,
"abstractUrl": "/proceedings-article/icdsba/2020/816400a125/1xeWowdexBC",
"parentPublication": {
"id": "proceedings/icdsba/2020/8164/0",
"title": "2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNx7ouUM",
"title": "2013 International Conference on Computational and Information Sciences",
"acronym": "iccis",
"groupId": "1800262",
"volume": "0",
"displayVolume": "0",
"year": "2013",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNx7ouJk",
"doi": "10.1109/ICCIS.2013.88",
"title": "Image Processing Based on Statistical Phase Correlation Algorithm",
"normalizedTitle": "Image Processing Based on Statistical Phase Correlation Algorithm",
"abstract": "The contribution of computer graphics in geophysics mainly embodies on the application of scientific computing visualization. In order to obtain the structural features and spatial distribution of various types of stratigraphic structure surface, it is necessary to carry out visual analysis on gigantic seismic data. However, the process of signal-noise separation requires enormous operations before structuring the energy function, that make the numerical realization of high accuracy velocity analysis method more complicated and time-consuming. In this paper, we proposed the statistical phase correlation based high resolution velocity spectrum numerical analyzing method. Then, we adopt computer graphics technology and Qt visual programming technology realized the algorithm and put it into practice. As can be known from the result, this method can bring more focused stack velocity spectrum with more economical computation cost, and the resolution is improved greatly.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The contribution of computer graphics in geophysics mainly embodies on the application of scientific computing visualization. In order to obtain the structural features and spatial distribution of various types of stratigraphic structure surface, it is necessary to carry out visual analysis on gigantic seismic data. However, the process of signal-noise separation requires enormous operations before structuring the energy function, that make the numerical realization of high accuracy velocity analysis method more complicated and time-consuming. In this paper, we proposed the statistical phase correlation based high resolution velocity spectrum numerical analyzing method. Then, we adopt computer graphics technology and Qt visual programming technology realized the algorithm and put it into practice. As can be known from the result, this method can bring more focused stack velocity spectrum with more economical computation cost, and the resolution is improved greatly.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The contribution of computer graphics in geophysics mainly embodies on the application of scientific computing visualization. In order to obtain the structural features and spatial distribution of various types of stratigraphic structure surface, it is necessary to carry out visual analysis on gigantic seismic data. However, the process of signal-noise separation requires enormous operations before structuring the energy function, that make the numerical realization of high accuracy velocity analysis method more complicated and time-consuming. In this paper, we proposed the statistical phase correlation based high resolution velocity spectrum numerical analyzing method. Then, we adopt computer graphics technology and Qt visual programming technology realized the algorithm and put it into practice. As can be known from the result, this method can bring more focused stack velocity spectrum with more economical computation cost, and the resolution is improved greatly.",
"fno": "5004a306",
"keywords": [
"Probability Distribution",
"Algorithm Design And Analysis",
"Correlation",
"Noise",
"Reflection",
"Image Resolution",
"Seismic Processing",
"Phase Correlation",
"Image Processing",
"Qt",
"Stack Velocity"
],
"authors": [
{
"affiliation": null,
"fullName": "Guangxuan Chen",
"givenName": "Guangxuan",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Yanhui Du",
"givenName": "Yanhui",
"surname": "Du",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Lei Zhang",
"givenName": "Lei",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Panke Qin",
"givenName": "Panke",
"surname": "Qin",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2013-06-01T00:00:00",
"pubType": "proceedings",
"pages": "306-309",
"year": "2013",
"issn": null,
"isbn": "978-0-7695-5004-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "5004a302",
"articleId": "12OmNzkMlNH",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "5004a310",
"articleId": "12OmNBSjIU4",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/itcs/2009/3688/2/3688b444",
"title": "The Application of Cyclic Correlation Matched Filtering on Time-Phase Modulation",
"doi": null,
"abstractUrl": "/proceedings-article/itcs/2009/3688b444/12OmNAQJzNT",
"parentPublication": {
"id": "proceedings/itcs/2009/3688/2",
"title": "Information Technology and Computer Science, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iciip/2015/0148/0/07414778",
"title": "An improved DCT-based phase correlation method for image mosaicing",
"doi": null,
"abstractUrl": "/proceedings-article/iciip/2015/07414778/12OmNASILDY",
"parentPublication": {
"id": "proceedings/iciip/2015/0148/0",
"title": "2015 Third International Conference on Image Information Processing (ICIIP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/esiat/2009/3682/2/3682b383",
"title": "An Image Mosaics Algorithm Based on Improved Phase Correlation",
"doi": null,
"abstractUrl": "/proceedings-article/esiat/2009/3682b383/12OmNC8MsHW",
"parentPublication": {
"id": "esiat/2009/3682/2",
"title": "Environmental Science and Information Application Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdh/2012/4899/0/4899a274",
"title": "Medical Image Mosaic Technology Based on Image Phase Correlation",
"doi": null,
"abstractUrl": "/proceedings-article/icdh/2012/4899a274/12OmNCmpcF7",
"parentPublication": {
"id": "proceedings/icdh/2012/4899/0",
"title": "4th International Conference on Digital Home (ICDH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aici/2009/3816/3/3816c485",
"title": "Digital Image Stabilization Based on Phase Correlation",
"doi": null,
"abstractUrl": "/proceedings-article/aici/2009/3816c485/12OmNCuDztO",
"parentPublication": {
"id": "proceedings/aici/2009/3816/3",
"title": "2009 International Conference on Artificial Intelligence and Computational Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/eecs/2017/2085/0/2085a037",
"title": "Some Statistical Study on the Short-Time Spectrum of Unvoiced Pronunciation Signal",
"doi": null,
"abstractUrl": "/proceedings-article/eecs/2017/2085a037/12OmNwGqBpS",
"parentPublication": {
"id": "proceedings/eecs/2017/2085/0",
"title": "2017 European Conference on Electrical Engineering and Computer Science (EECS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmpsac/1979/9999/0/00762467",
"title": "Statistical image processing and recognition",
"doi": null,
"abstractUrl": "/proceedings-article/cmpsac/1979/00762467/12OmNwcUjVo",
"parentPublication": {
"id": "proceedings/cmpsac/1979/9999/0",
"title": "COMPSAC 79 - Proceedings. Computer Software and The IEEE Computer Society's Third International Applications Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/1982/03/01675976",
"title": "Parallel Processing Approaches to Image Correlation",
"doi": null,
"abstractUrl": "/journal/tc/1982/03/01675976/13rRUxZRbmV",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icctec/2017/5784/0/578400b177",
"title": "Method of Altitude Measurement in the VHF Radar Based on Spatial Smoothing by Autocorrelation and Cross-Correlation Matrix",
"doi": null,
"abstractUrl": "/proceedings-article/icctec/2017/578400b177/1cks6cW4HAs",
"parentPublication": {
"id": "proceedings/icctec/2017/5784/0",
"title": "2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmeas/2021/9768/0/976800a140",
"title": "Study on the correlation between characteristic peaks of infrared absorption spectra and maximum elongation of HTPB propellant",
"doi": null,
"abstractUrl": "/proceedings-article/icmeas/2021/976800a140/1zuuSmJFLFe",
"parentPublication": {
"id": "proceedings/icmeas/2021/9768/0",
"title": "2021 7th International Conference on Mechanical Engineering and Automation Science (ICMEAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNyfdOIO",
"title": "2008 IEEE Symposium on Computers and Communications",
"acronym": "iscc",
"groupId": "1000156",
"volume": "0",
"displayVolume": "0",
"year": "2008",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzYeAPF",
"doi": "10.1109/ISCC.2008.4625668",
"title": "On the space-time correlation of MIMO fading channels in 3D scattering models",
"normalizedTitle": "On the space-time correlation of MIMO fading channels in 3D scattering models",
"abstract": "In this paper, the time-space correlation function for narrowband MIMO channels is derived. We consider two 3D models, the cylinder model and the sphere model. In both cases, Rician fading is assumed. Scatterers are assumed around the mobile station alone to model macrocell situation. The results show that under reasonable assumptions, both models simplify to the 2D model proposed in (Abdi et al., 2002). Eventually, the construction of the correlation matrix used in the vector autoregressive (VAR) simulation method is studied.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this paper, the time-space correlation function for narrowband MIMO channels is derived. We consider two 3D models, the cylinder model and the sphere model. In both cases, Rician fading is assumed. Scatterers are assumed around the mobile station alone to model macrocell situation. The results show that under reasonable assumptions, both models simplify to the 2D model proposed in (Abdi et al., 2002). Eventually, the construction of the correlation matrix used in the vector autoregressive (VAR) simulation method is studied.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this paper, the time-space correlation function for narrowband MIMO channels is derived. We consider two 3D models, the cylinder model and the sphere model. In both cases, Rician fading is assumed. Scatterers are assumed around the mobile station alone to model macrocell situation. The results show that under reasonable assumptions, both models simplify to the 2D model proposed in (Abdi et al., 2002). Eventually, the construction of the correlation matrix used in the vector autoregressive (VAR) simulation method is studied.",
"fno": "04625668",
"keywords": [
"Autoregressive Processes",
"MIMO Communication",
"Rician Channels",
"MIMO Fading Channels",
"3 D Scattering Models",
"Space Time Correlation",
"Narrowband MIMO Channels",
"Cylinder Model",
"Sphere Model",
"Rician Fading",
"Mobile Station Alone",
"Vector Autoregressive Simulation",
"Correlation",
"Scattering",
"Solid Modeling",
"Antennas",
"Mathematical Model",
"Three Dimensional Displays",
"Antenna Measurements"
],
"authors": [
{
"affiliation": "Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Education City, Doha, Qatar",
"fullName": "Ala Abu Al-Kheir",
"givenName": "Ala Abu",
"surname": "Al-Kheir",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Education City, Doha, Qatar",
"fullName": "Khalid A. Qaraqe",
"givenName": "Khalid A.",
"surname": "Qaraqe",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Education City, Doha, Qatar",
"fullName": "Mohamed-Slim Alouini",
"givenName": "Mohamed-Slim",
"surname": "Alouini",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iscc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2008-07-01T00:00:00",
"pubType": "proceedings",
"pages": "",
"year": "2008",
"issn": "1530-1346",
"isbn": "978-1-4244-2702-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "04625667",
"articleId": "12OmNrHjqPl",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "04625669",
"articleId": "12OmNzn38Xl",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/isspit/2004/8689/0/01433703",
"title": "Parameter estimation of measured channels in mobile MIMO OFDM system",
"doi": null,
"abstractUrl": "/proceedings-article/isspit/2004/01433703/12OmNAOKnXA",
"parentPublication": {
"id": "proceedings/isspit/2004/8689/0",
"title": "Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cit/2010/4108/0/4108c793",
"title": "Impact of Scatterer Density on the Performances of Double-Scattering MIMO Channels",
"doi": null,
"abstractUrl": "/proceedings-article/cit/2010/4108c793/12OmNAolGZZ",
"parentPublication": {
"id": "proceedings/cit/2010/4108/0",
"title": "Computer and Information Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2009/2353/0/04960028",
"title": "MIMO multi-channel beamforming in double-scattering channels",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2009/04960028/12OmNB836FE",
"parentPublication": {
"id": "proceedings/icassp/2009/2353/0",
"title": "Acoustics, Speech, and Signal Processing, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/milcom/2002/7625/1/01180499",
"title": "A new geometrical based spatio-temporal channel model for mobile communications with antenna arrays",
"doi": null,
"abstractUrl": "/proceedings-article/milcom/2002/01180499/12OmNBV9IjB",
"parentPublication": {
"id": "proceedings/milcom/2002/7625/2",
"title": "Military Communications Conference (MILCOM 2002)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnc/2018/3652/0/08390311",
"title": "Experimental Results of a Land-to-Ship Propagation Channel using a Wideband Channel Sounding System at 2.4 GHz",
"doi": null,
"abstractUrl": "/proceedings-article/icnc/2018/08390311/12OmNCcbEhk",
"parentPublication": {
"id": "proceedings/icnc/2018/3652/0",
"title": "2018 International Conference on Computing, Networking and Communications (ICNC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2004/8484/4/01326924",
"title": "Macrocell multiple-input multiple-output system with local-to-mobile and local-to-base scatterers",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2004/01326924/12OmNrYCXTT",
"parentPublication": {
"id": "proceedings/icassp/2004/8484/4",
"title": "2004 IEEE International Conference on Acoustics, Speech, and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wcsn/2014/7091/0/7091a266",
"title": "ASER of Beamforming in AF Relay Networks over Mixed Correlated Nakagami-m and Rician Fading Channels",
"doi": null,
"abstractUrl": "/proceedings-article/wcsn/2014/7091a266/12OmNxveNE6",
"parentPublication": {
"id": "proceedings/wcsn/2014/7091/0",
"title": "2014 International Conference on Wireless Communication and Sensor Network",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2002/7402/3/05745238",
"title": "Spatial correlation in non-isotropic scattering scenarios",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2002/05745238/12OmNzDNtt7",
"parentPublication": {
"id": "proceedings/icassp/2002/7402/3",
"title": "Proceedings of International Conference on Acoustics, Speech and Signal Processing (CASSP'02)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2004/8484/4/01326863",
"title": "Linear space-time precoding for Rician fading MISO channels",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2004/01326863/12OmNzVGcBY",
"parentPublication": {
"id": "proceedings/icassp/2004/8484/4",
"title": "2004 IEEE International Conference on Acoustics, Speech, and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/paccs/2009/3614/0/3614a062",
"title": "Limited Feedback Technique of MU-MISO System over Rician Fading Channels",
"doi": null,
"abstractUrl": "/proceedings-article/paccs/2009/3614a062/12OmNzlD9s3",
"parentPublication": {
"id": "proceedings/paccs/2009/3614/0",
"title": "2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1EVihIUabss",
"title": "2021 Ninth International Conference on Advanced Cloud and Big Data (CBD)",
"acronym": "cbd",
"groupId": "1803748",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1EVipVzCScw",
"doi": "10.1109/CBD54617.2021.00047",
"title": "Non-Interactive Correlation Differential Privacy for Healthcare Data",
"normalizedTitle": "Non-Interactive Correlation Differential Privacy for Healthcare Data",
"abstract": "The current differential privacy protection methods for healthcare datasets have achieved some results, but there are still some problems to be solved : (1) Most of the existing methods consider the privacy leakage caused by record correlation, and there are few studies on the privacy leakage caused by feature correlation. (2) Existing research also uses feature extraction methods when dealing with feature correlation, but the set extracted by this method is not the maximal feature set, which reduces the availability to a certain extent. In view of the above considerations, this thesis proposes a noninteractive correlation differential privacy protection method for healthcare data. First, In terms of feature correlation, an undirected graph is constructed with features as nodes, and the concept of feature sensitivity is proposed. Secondly, The Bron-Kerbosch algorithm is used to solve the maximal independent set, which solves the problem of information leakage caused by slow processing speed and feature correlation caused by multiple features. Finally, Experiments on two different datasets verify the effectiveness of the proposed differential privacy protection method.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The current differential privacy protection methods for healthcare datasets have achieved some results, but there are still some problems to be solved : (1) Most of the existing methods consider the privacy leakage caused by record correlation, and there are few studies on the privacy leakage caused by feature correlation. (2) Existing research also uses feature extraction methods when dealing with feature correlation, but the set extracted by this method is not the maximal feature set, which reduces the availability to a certain extent. In view of the above considerations, this thesis proposes a noninteractive correlation differential privacy protection method for healthcare data. First, In terms of feature correlation, an undirected graph is constructed with features as nodes, and the concept of feature sensitivity is proposed. Secondly, The Bron-Kerbosch algorithm is used to solve the maximal independent set, which solves the problem of information leakage caused by slow processing speed and feature correlation caused by multiple features. Finally, Experiments on two different datasets verify the effectiveness of the proposed differential privacy protection method.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The current differential privacy protection methods for healthcare datasets have achieved some results, but there are still some problems to be solved : (1) Most of the existing methods consider the privacy leakage caused by record correlation, and there are few studies on the privacy leakage caused by feature correlation. (2) Existing research also uses feature extraction methods when dealing with feature correlation, but the set extracted by this method is not the maximal feature set, which reduces the availability to a certain extent. In view of the above considerations, this thesis proposes a noninteractive correlation differential privacy protection method for healthcare data. First, In terms of feature correlation, an undirected graph is constructed with features as nodes, and the concept of feature sensitivity is proposed. Secondly, The Bron-Kerbosch algorithm is used to solve the maximal independent set, which solves the problem of information leakage caused by slow processing speed and feature correlation caused by multiple features. Finally, Experiments on two different datasets verify the effectiveness of the proposed differential privacy protection method.",
"fno": "074500a230",
"keywords": [
"Computational Complexity",
"Data Privacy",
"Feature Extraction",
"Graph Theory",
"Medical Information Systems",
"Set Theory",
"Tree Searching",
"Privacy Leakage",
"Record Correlation",
"Feature Correlation",
"Feature Extraction Methods",
"Maximal Feature Set",
"Noninteractive Correlation Differential Privacy Protection Method",
"Healthcare Data",
"Feature Sensitivity",
"Differential Privacy Protection Methods",
"Healthcare Datasets",
"Undirected Graph",
"Bron Kerbosch Algorithm",
"Maximal Independent Set",
"Information Leakage",
"Differential Privacy",
"Correlation",
"Sensitivity",
"Medical Services",
"Breast",
"Big Data",
"Feature Extraction",
"Non Interactive",
"Differential Privacy",
"Feature Correlation",
"Feature Sensitivity"
],
"authors": [
{
"affiliation": "Anhui University of Technology,School of Computer Science,Maanshan,China",
"fullName": "Lei Yang",
"givenName": "Lei",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Anhui University of Technology,School of Computer Science,Maanshan,China",
"fullName": "Xiao Zheng",
"givenName": "Xiao",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cbd",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-03-01T00:00:00",
"pubType": "proceedings",
"pages": "230-235",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-0745-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "074500a224",
"articleId": "1EVilbN4QyA",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "074500a236",
"articleId": "1EVijQfCe7m",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/aina/2018/2195/0/219501b011",
"title": "Correlated Differential Privacy Protection for Big Data",
"doi": null,
"abstractUrl": "/proceedings-article/aina/2018/219501b011/12OmNBqv2iH",
"parentPublication": {
"id": "proceedings/aina/2018/2195/0",
"title": "2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpads/2016/4457/0/4457a422",
"title": "Multi-User Location Correlation Protection with Differential Privacy",
"doi": null,
"abstractUrl": "/proceedings-article/icpads/2016/4457a422/12OmNBr4euX",
"parentPublication": {
"id": "proceedings/icpads/2016/4457/0",
"title": "2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2019/07/08333800",
"title": "Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations",
"doi": null,
"abstractUrl": "/journal/tk/2019/07/08333800/13rRUxNW1ZO",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/bd/2021/04/08126240",
"title": "Correlated Differential Privacy Protection for Mobile Crowdsensing",
"doi": null,
"abstractUrl": "/journal/bd/2021/04/08126240/13rRUyg2jPK",
"parentPublication": {
"id": "trans/bd",
"title": "IEEE Transactions on Big Data",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/nana/2018/8303/0/08648706",
"title": "Adaptive Differential Privacy Interactive Publishing Model Based on Dynamic Feedback",
"doi": null,
"abstractUrl": "/proceedings-article/nana/2018/08648706/181W9moJfxM",
"parentPublication": {
"id": "proceedings/nana/2018/8303/0",
"title": "2018 International Conference on Networking and Network Applications (NaNA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2022/8045/0/10020709",
"title": "Asymmetric Differential Privacy",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2022/10020709/1KfSf5fzbsk",
"parentPublication": {
"id": "proceedings/big-data/2022/8045/0",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigcom/2022/7384/0/738400a112",
"title": "GAN-based Differential Privacy Trajectory Data Publishing with Sensitive Label",
"doi": null,
"abstractUrl": "/proceedings-article/bigcom/2022/738400a112/1LFKDsFmI4U",
"parentPublication": {
"id": "proceedings/bigcom/2022/7384/0",
"title": "2022 8th International Conference on Big Data Computing and Communications (BigCom)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dasc-picom-cbdcom-cyberscitech/2019/3024/0/302400a918",
"title": "Information Entropy Differential Privacy: A Differential Privacy Protection Data Method Based on Rough Set Theory",
"doi": null,
"abstractUrl": "/proceedings-article/dasc-picom-cbdcom-cyberscitech/2019/302400a918/1eEUvm3GU5a",
"parentPublication": {
"id": "proceedings/dasc-picom-cbdcom-cyberscitech/2019/3024/0",
"title": "2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigdatase/2020/1114/0/111400a073",
"title": "DP-AP: Differential Privacy-Preserving Affinity Propagation Clustering",
"doi": null,
"abstractUrl": "/proceedings-article/bigdatase/2020/111400a073/1r3p8TFhPDq",
"parentPublication": {
"id": "proceedings/bigdatase/2020/1114/0",
"title": "2020 IEEE 14th International Conference on Big Data Science and Engineering (BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ichi/2021/0132/0/013200a228",
"title": "Interactive Range Queries for Healthcare Data under Differential Privacy",
"doi": null,
"abstractUrl": "/proceedings-article/ichi/2021/013200a228/1xIOV00mOQg",
"parentPublication": {
"id": "proceedings/ichi/2021/0132/0",
"title": "2021 IEEE 9th International Conference on Healthcare Informatics (ICHI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1lFJ9Evt0pG",
"title": "2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)",
"acronym": "icci*cc",
"groupId": "1000097",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1lFJepFJTl6",
"doi": "10.1109/ICCICC46617.2019.9146080",
"title": "Fracability Evaluation in Deep Shale Reservoirs Based on a Fuzzy Grey Correlation Analysis Method",
"normalizedTitle": "Fracability Evaluation in Deep Shale Reservoirs Based on a Fuzzy Grey Correlation Analysis Method",
"abstract": "Fracability is used to evaluate if it's easy to form complex fracture networks by the volumetric fracturing in shale gas or not. The main parameters of shale gas fracability evaluation methods at home and abroad are analyzed and summarized, combining the characteristics of high temperature, high pressure and strong plasticity in deep shale gas layers, the comprehensive evaluation parameters of deep shale reservoirs fracability based on the geological and engineering factors are optimized. Fully considering the effects of formation confining pressure and rock anisotropy on parameters, the calculation method of fracability evaluation parameters is formed. Using fuzzy grey correlation analysis method, the correlation between the fracability index curve of different weight combinations and the fracture complexity index curve is analyzed. According to the maximum principle of correlation coefficient, the weight combination is optimized, the comprehensive evaluation mathematical model of fracability is established, and the comprehensive evaluation method of deep shale gas fracability is formed. It is of guiding significance to the optimization design of fracturing parameters for deep shale gas to improve fracture complexity.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Fracability is used to evaluate if it's easy to form complex fracture networks by the volumetric fracturing in shale gas or not. The main parameters of shale gas fracability evaluation methods at home and abroad are analyzed and summarized, combining the characteristics of high temperature, high pressure and strong plasticity in deep shale gas layers, the comprehensive evaluation parameters of deep shale reservoirs fracability based on the geological and engineering factors are optimized. Fully considering the effects of formation confining pressure and rock anisotropy on parameters, the calculation method of fracability evaluation parameters is formed. Using fuzzy grey correlation analysis method, the correlation between the fracability index curve of different weight combinations and the fracture complexity index curve is analyzed. According to the maximum principle of correlation coefficient, the weight combination is optimized, the comprehensive evaluation mathematical model of fracability is established, and the comprehensive evaluation method of deep shale gas fracability is formed. It is of guiding significance to the optimization design of fracturing parameters for deep shale gas to improve fracture complexity.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Fracability is used to evaluate if it's easy to form complex fracture networks by the volumetric fracturing in shale gas or not. The main parameters of shale gas fracability evaluation methods at home and abroad are analyzed and summarized, combining the characteristics of high temperature, high pressure and strong plasticity in deep shale gas layers, the comprehensive evaluation parameters of deep shale reservoirs fracability based on the geological and engineering factors are optimized. Fully considering the effects of formation confining pressure and rock anisotropy on parameters, the calculation method of fracability evaluation parameters is formed. Using fuzzy grey correlation analysis method, the correlation between the fracability index curve of different weight combinations and the fracture complexity index curve is analyzed. According to the maximum principle of correlation coefficient, the weight combination is optimized, the comprehensive evaluation mathematical model of fracability is established, and the comprehensive evaluation method of deep shale gas fracability is formed. It is of guiding significance to the optimization design of fracturing parameters for deep shale gas to improve fracture complexity.",
"fno": "09146080",
"keywords": [
"Fracture",
"Fuzzy Set Theory",
"Grey Systems",
"High Pressure Effects",
"High Temperature Effects",
"Hydrocarbon Reservoirs",
"Mathematical Analysis",
"Natural Gas Technology",
"Plasticity",
"Rocks",
"Shale Gas",
"Statistical Analysis",
"Rock Anisotropy",
"Fracture Complexity Index Curve",
"Correlation Coefficient",
"Weight Combination",
"Mathematical Model",
"Complex Fracture Networks",
"Volumetric Fracturing",
"Fracability Evaluation Methods",
"Deep Shale Gas Layers",
"Deep Shale Reservoirs",
"Formation Confining Pressure",
"Fuzzy Grey Correlation Analysis",
"High Temperature Characteristics",
"High Pressure Characteristics",
"Plasticity",
"Geological Factors",
"Optimization Design",
"Indexes",
"Complexity Theory",
"Rocks",
"Minerals",
"Reservoirs",
"Stress",
"Correlation",
"Shale Fracability",
"Influence Factors",
"Fuzzy Grey Correlation Analysis",
"Evaluation Methods",
"Mathematical Model"
],
"authors": [
{
"affiliation": "School of Safety Engineering, Chongqing University of Science and Technology,Chongqing,China,401331",
"fullName": "Liu Hong",
"givenName": "Liu",
"surname": "Hong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology,Chongqing,China,401331",
"fullName": "Huang Yuanyuan",
"givenName": "Huang",
"surname": "Yuanyuan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology,Chongqing,China,401331",
"fullName": "Zhang Xiaoyu",
"givenName": "Zhang",
"surname": "Xiaoyu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Safety Engineering, Chongqing University of Science and Technology,Chongqing,China,401331",
"fullName": "Bie Zujie",
"givenName": "Bie",
"surname": "Zujie",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology,Chongqing,China,401331",
"fullName": "Gu Jiayue",
"givenName": "Gu",
"surname": "Jiayue",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Southwest Oil and Gas Company Sinopec,Sichuan,China,610016",
"fullName": "He Long",
"givenName": "He",
"surname": "Long",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icci*cc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-07-01T00:00:00",
"pubType": "proceedings",
"pages": "299-306",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-1419-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09146028",
"articleId": "1lFJdu2ST72",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09146029",
"articleId": "1lFJaXD3qaQ",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iccis/2012/4789/0/4789b331",
"title": "The Comprehensive Evaluation Model of the Development Prospect of Shale Gas Based on Fuzzy Mathematics",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2012/4789b331/12OmNCf1Dvl",
"parentPublication": {
"id": "proceedings/iccis/2012/4789/0",
"title": "2012 Fourth International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2013/5004/0/5004b227",
"title": "Research on Brittleness of Shale in Longmaxi Formation, the Southeastern Chongqing Area",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2013/5004b227/12OmNqGitSC",
"parentPublication": {
"id": "proceedings/iccis/2013/5004/0",
"title": "2013 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/1992/2915/0/00201818",
"title": "A pattern recognition approach to detect oil/gas reservoirs in sand/shale sediments",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/1992/00201818/12OmNqGitY5",
"parentPublication": {
"id": "proceedings/icpr/1992/2915/0",
"title": "11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2013/5004/0/5004b093",
"title": "A Research of Material Balance Equation Applied to Shale Gas Reservoir Considering Adsorption Phase Volume",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2013/5004b093/12OmNvjQ96k",
"parentPublication": {
"id": "proceedings/iccis/2013/5004/0",
"title": "2013 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2012/4789/0/4789b263",
"title": "A New Method of Fuzzy Comprehensive Evaluation for Fracturing Effect",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2012/4789b263/12OmNxR5ULc",
"parentPublication": {
"id": "proceedings/iccis/2012/4789/0",
"title": "2012 Fourth International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2011/4501/0/4501a567",
"title": "Low Permeability Gas Reservoirs Single Well Fracturing Fracture Optimization Research",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2011/4501a567/12OmNxd4tv3",
"parentPublication": {
"id": "proceedings/iccis/2011/4501/0",
"title": "2011 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2015/8493/0/8493b310",
"title": "Production Estimation for Shale Wells with Sentiment-Based Features from Geology Reports",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2015/8493b310/12OmNyQphlJ",
"parentPublication": {
"id": "proceedings/icdmw/2015/8493/0",
"title": "2015 IEEE International Conference on Data Mining Workshop (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icvisp/2021/0770/0/077000a302",
"title": "Numerical Simulation of Fracture Propagation in Bedded Shale Based on Cohesive Zone Model",
"doi": null,
"abstractUrl": "/proceedings-article/icvisp/2021/077000a302/1APq6FQ40XS",
"parentPublication": {
"id": "proceedings/icvisp/2021/0770/0",
"title": "2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmiae/2022/7396/0/739600a045",
"title": "Identification of fractures in Changning shale gas reservoir based on fast and slow S-wave remote detection imaging processing technology",
"doi": null,
"abstractUrl": "/proceedings-article/icmiae/2022/739600a045/1JgrDuXSXeM",
"parentPublication": {
"id": "proceedings/icmiae/2022/7396/0",
"title": "2022 International Conference on Manufacturing, Industrial Automation and Electronics (ICMIAE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiam/2020/9986/0/998600a364",
"title": "Experiment on the relationship between the characteristics of flowback liquid ions and the complexity of hydraulic fractures in shale",
"doi": null,
"abstractUrl": "/proceedings-article/aiam/2020/998600a364/1tweM5A0ctG",
"parentPublication": {
"id": "proceedings/aiam/2020/9986/0",
"title": "2020 2nd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNApu5n9",
"title": "2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)",
"acronym": "imccc",
"groupId": "1800575",
"volume": "0",
"displayVolume": "0",
"year": "2016",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxwENNu",
"doi": "10.1109/IMCCC.2016.227",
"title": "Time-Fuel Optimal Trajectory Based Attitude Maneuver Control for Flexible Spacecraft",
"normalizedTitle": "Time-Fuel Optimal Trajectory Based Attitude Maneuver Control for Flexible Spacecraft",
"abstract": "This paper investigates the attitude maneuver control for flexible spacecraft, in which the torque saturation and unknown parameter uncertainties are considered. Firstly, a time-fuel optimal trajectory is developed such that a PD controller based on the trajectory is proposed. Then, in order to suppress the vibration of flexible appendages, a structure filter is designed for the first order elastic mode. Simulation results show that the high-precise attitude control and vibration suppression are achieved successfully. Considering the inertia parameter errors, the effectiveness of the developed optimal trajectory is demonstrated.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper investigates the attitude maneuver control for flexible spacecraft, in which the torque saturation and unknown parameter uncertainties are considered. Firstly, a time-fuel optimal trajectory is developed such that a PD controller based on the trajectory is proposed. Then, in order to suppress the vibration of flexible appendages, a structure filter is designed for the first order elastic mode. Simulation results show that the high-precise attitude control and vibration suppression are achieved successfully. Considering the inertia parameter errors, the effectiveness of the developed optimal trajectory is demonstrated.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper investigates the attitude maneuver control for flexible spacecraft, in which the torque saturation and unknown parameter uncertainties are considered. Firstly, a time-fuel optimal trajectory is developed such that a PD controller based on the trajectory is proposed. Then, in order to suppress the vibration of flexible appendages, a structure filter is designed for the first order elastic mode. Simulation results show that the high-precise attitude control and vibration suppression are achieved successfully. Considering the inertia parameter errors, the effectiveness of the developed optimal trajectory is demonstrated.",
"fno": "07774765",
"keywords": [
"Attitude Control",
"Fuel Optimal Control",
"PD Control",
"Space Vehicles",
"Time Optimal Control",
"Trajectory Control",
"Vibration Control",
"Time Fuel Optimal Trajectory Based Attitude Maneuver Control",
"Flexible Spacecraft",
"Torque Saturation",
"Unknown Parameter Uncertainties",
"PD Controller",
"Flexible Appendages Vibration Suppression",
"Structure Filter",
"First Order Elastic Mode",
"High Precise Attitude Control",
"Inertia Parameter Errors",
"Trajectory",
"Space Vehicles",
"Attitude Control",
"Torque",
"PD Control",
"Mathematical Model",
"Flexible Spacecraft",
"Attitude Maneuver",
"Weighted Time Fuel Optimal Control",
"Structure Filter"
],
"authors": [
{
"affiliation": null,
"fullName": "Pengyu Wang",
"givenName": "Pengyu",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Zongming Liu",
"givenName": "Zongming",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Chuanjiang Li",
"givenName": "Chuanjiang",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Yanchao Sun",
"givenName": "Yanchao",
"surname": "Sun",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Chao Zhang",
"givenName": "Chao",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "imccc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2016-07-01T00:00:00",
"pubType": "proceedings",
"pages": "197-201",
"year": "2016",
"issn": null,
"isbn": "978-1-5090-1195-7",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07774764",
"articleId": "12OmNBA9oBK",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07774766",
"articleId": "12OmNy4r3Zo",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icicta/2009/3804/1/3804a750",
"title": "Attitude and Vibration Control in Nonlinear Flexible Spacecraft via Trajectory Shaping and Adaptive Sliding Control",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2009/3804a750/12OmNAQJzPC",
"parentPublication": {
"id": "proceedings/icicta/2009/3804/1",
"title": "Intelligent Computation Technology and Automation, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icseng/2017/0610/0/0610a003",
"title": "Attitude Stabilization of Spacecraft with Flexible Appendages by L1 Adaptive Feedback",
"doi": null,
"abstractUrl": "/proceedings-article/icseng/2017/0610a003/12OmNARiM2u",
"parentPublication": {
"id": "proceedings/icseng/2017/0610/0",
"title": "2017 25th International Conference on Systems Engineering (ICSEng)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ssst/1993/3560/0/00522782",
"title": "LQG/LTR spacecraft attitude control",
"doi": null,
"abstractUrl": "/proceedings-article/ssst/1993/00522782/12OmNBA9oyU",
"parentPublication": {
"id": "proceedings/ssst/1993/3560/0",
"title": "1993 (25th) Southeastern Symposium on System Theory",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmcce/2017/2628/0/2628a194",
"title": "Influencing Factors of Parachute-non-Bomb Trajectory in the Fuel-Air Explosives",
"doi": null,
"abstractUrl": "/proceedings-article/icmcce/2017/2628a194/12OmNC943QM",
"parentPublication": {
"id": "proceedings/icmcce/2017/2628/0",
"title": "2017 Second International Conference on Mechanical, Control and Computer Engineering (ICMCCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/imccc/2016/1195/0/07774808",
"title": "Adaptive Sliding Mode Attitude Tracking Control for Flexible Spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/imccc/2016/07774808/12OmNwMXntE",
"parentPublication": {
"id": "proceedings/imccc/2016/1195/0",
"title": "2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2017/3013/0/3013a840",
"title": "An Integrated Trajectory Guidance and Attitude Control Law with Enhanced Anti-Disturbance Capability for Mars Pinpoint Landing",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2017/3013a840/12OmNweBUQE",
"parentPublication": {
"id": "proceedings/icisce/2017/3013/0",
"title": "2017 4th International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pcspa/2010/4180/0/4180a719",
"title": "Nonlinear Attitude Control of Flexible Spacecraft with Scissored Pairs of Control Moment Gyros",
"doi": null,
"abstractUrl": "/proceedings-article/pcspa/2010/4180a719/12OmNwsNRdW",
"parentPublication": {
"id": "proceedings/pcspa/2010/4180/0",
"title": "Pervasive Computing, Signal Porcessing and Applications, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2011/4296/3/4296e175",
"title": "Robust Adaptive Sliding Mode Attitude Tracking Control for Spacecraft Formation Flying",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2011/4296e175/12OmNzTH0UM",
"parentPublication": {
"id": "proceedings/icmtma/2011/4296/3",
"title": "2011 Third International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iscer/2022/8478/0/847800a099",
"title": "Trajectory Planning and Attitude Control of Manipulator",
"doi": null,
"abstractUrl": "/proceedings-article/iscer/2022/847800a099/1HbbygC9reo",
"parentPublication": {
"id": "proceedings/iscer/2022/8478/0",
"title": "2022 International Symposium on Control Engineering and Robotics (ISCER)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata-cybermatics/2022/5417/0/541700a452",
"title": "Fixed-time Control for Liquid-filled Flexible Spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata-cybermatics/2022/541700a452/1Hcn0hhi18I",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata-cybermatics/2022/5417/0",
"title": "2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAWH9tK",
"title": "2016 12th International Conference on Computational Intelligence and Security (CIS)",
"acronym": "cis",
"groupId": "1001517",
"volume": "0",
"displayVolume": "0",
"year": "2016",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNy314jm",
"doi": "10.1109/CIS.2016.0056",
"title": "Perturbation Correction Calculation Method for Remote Rendezvous between Non-Coplanar Elliptic Orbits",
"normalizedTitle": "Perturbation Correction Calculation Method for Remote Rendezvous between Non-Coplanar Elliptic Orbits",
"abstract": "The earth oblateness J2 perturbation effect on the remote rendezvous between non-coplanar elliptic orbits was investigated, and the corresponding perturbation correction calculation method was mainly studied. The differential equation of orbit deviation due to the J2 perturbation was established based on the perturbation theory, and the position error between the perturbed and unperturbed transfer orbits due to the J2 perturbation was obtained through the integral calculation. And then the control strategy by means of correcting the predictive arrival point was put forward to realize the correction of the transfer orbit. A lot of simulations were done to compare the orbit deviation before and after the perturbation correction, and the simulation results indicate that this method, which is simple and easy to be realized without optimization calculation, is efficient to provide a significant increase in accuracy of rendezvous with the effect of perturbation included.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The earth oblateness J2 perturbation effect on the remote rendezvous between non-coplanar elliptic orbits was investigated, and the corresponding perturbation correction calculation method was mainly studied. The differential equation of orbit deviation due to the J2 perturbation was established based on the perturbation theory, and the position error between the perturbed and unperturbed transfer orbits due to the J2 perturbation was obtained through the integral calculation. And then the control strategy by means of correcting the predictive arrival point was put forward to realize the correction of the transfer orbit. A lot of simulations were done to compare the orbit deviation before and after the perturbation correction, and the simulation results indicate that this method, which is simple and easy to be realized without optimization calculation, is efficient to provide a significant increase in accuracy of rendezvous with the effect of perturbation included.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The earth oblateness J2 perturbation effect on the remote rendezvous between non-coplanar elliptic orbits was investigated, and the corresponding perturbation correction calculation method was mainly studied. The differential equation of orbit deviation due to the J2 perturbation was established based on the perturbation theory, and the position error between the perturbed and unperturbed transfer orbits due to the J2 perturbation was obtained through the integral calculation. And then the control strategy by means of correcting the predictive arrival point was put forward to realize the correction of the transfer orbit. A lot of simulations were done to compare the orbit deviation before and after the perturbation correction, and the simulation results indicate that this method, which is simple and easy to be realized without optimization calculation, is efficient to provide a significant increase in accuracy of rendezvous with the effect of perturbation included.",
"fno": "4840a208",
"keywords": [
"Aerospace Control",
"Perturbation Techniques",
"Position Control",
"Perturbation Correction Calculation Method",
"Remote Rendezvous",
"Noncoplanar Elliptic Orbits",
"Earth Oblateness J 2 Perturbation Effect",
"Position Error",
"Unperturbed Transfer Orbits",
"Control Strategy",
"Predictive Arrival Point",
"Transfer Orbit Correction",
"Orbits",
"Mathematical Model",
"Earth",
"Space Vehicles",
"Optimization",
"Acceleration",
"Perturbation Correction",
"Remote Rendezvous",
"Elliptic Orbit",
"J 2 Perturbation"
],
"authors": [
{
"affiliation": "Rocket Force Univ. of Eng., Xi'an, China",
"fullName": "Yan Chang",
"givenName": "Yan",
"surname": "Chang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Rocket Force Univ. of Eng., Xi'an, China",
"fullName": "Yong Xian",
"givenName": "Yong",
"surname": "Xian",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Rocket Force Univ. of Eng., Xi'an, China",
"fullName": "Jie Li",
"givenName": "Jie",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Rocket Force Univ. of Eng., Xi'an, China",
"fullName": "Daqiao Zhang",
"givenName": "Daqiao",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Rocket Force Univ. of Eng., Xi'an, China",
"fullName": "Jing Gao",
"givenName": "Jing",
"surname": "Gao",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2016-12-01T00:00:00",
"pubType": "proceedings",
"pages": "208-212",
"year": "2016",
"issn": null,
"isbn": "978-1-5090-4840-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4840a203",
"articleId": "12OmNBUS77I",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4840a213",
"articleId": "12OmNx5GU4I",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icmtma/2013/4932/0/4932b087",
"title": "Study on Shaft Orbits Measurement and Identification Based on LabVIEW",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2013/4932b087/12OmNCctfh3",
"parentPublication": {
"id": "proceedings/icmtma/2013/4932/0",
"title": "2013 Fifth International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wsc/2006/0500/0/04117744",
"title": "Low Earth Orbit Rendezvous Strategy for Lunar Missions",
"doi": null,
"abstractUrl": "/proceedings-article/wsc/2006/04117744/12OmNrJRPo5",
"parentPublication": {
"id": "proceedings/wsc/2006/0500/0",
"title": "2006 Winter Simulation Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwcfta/2011/4560/0/4560a078",
"title": "Si'lnikov Heterclinic Orbits of a New Chaos",
"doi": null,
"abstractUrl": "/proceedings-article/iwcfta/2011/4560a078/12OmNzYwcbh",
"parentPublication": {
"id": "proceedings/iwcfta/2011/4560/0",
"title": "Chaos-Fractals Theories and Applications, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2018/5114/0/511401a092",
"title": "Various Shadowing Property of Product Map",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2018/511401a092/12OmNzdoMNu",
"parentPublication": {
"id": "proceedings/icmtma/2018/5114/0",
"title": "2018 10th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smc-it/2021/8560/0/856000a061",
"title": "A Novel Technique for Reference Attitude Generation in Inclined Orbit Constellation",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2021/856000a061/1ANLfO3iOzu",
"parentPublication": {
"id": "proceedings/smc-it/2021/8560/0",
"title": "2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itnac/2022/7103/0/09998344",
"title": "Outage Performance of Satellite-Terrestrial MISO Downlink Transmission",
"doi": null,
"abstractUrl": "/proceedings-article/itnac/2022/09998344/1JGZQEbh4KA",
"parentPublication": {
"id": "proceedings/itnac/2022/7103/0",
"title": "2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wslm/2022/0819/0/081900a097",
"title": "Construction and Performance Simulation of Two-layer Satellite Network",
"doi": null,
"abstractUrl": "/proceedings-article/wslm/2022/081900a097/1KBdT6Fy4AU",
"parentPublication": {
"id": "proceedings/wslm/2022/0819/0",
"title": "2022 International Conference on Wearables, Sports and Lifestyle Management (WSLM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/inciscos/2019/5581/0/558100a169",
"title": "Lifetime and Access Point Determination of a LEO Ecuadorian Satellite Using the STK Software",
"doi": null,
"abstractUrl": "/proceedings-article/inciscos/2019/558100a169/1iHUGau8TOE",
"parentPublication": {
"id": "proceedings/inciscos/2019/5581/0",
"title": "2019 International Conference on Information Systems and Computer Science (INCISCOS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222254",
"title": "Extraction and Visualization of Poincare Map Topology for Spacecraft Trajectory Design",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222254/1nTqoumGCS4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmeas/2021/9768/0/976800a199",
"title": "Analysis of Atmospheric Drag Acceleration and Engineering Realization of Space Target",
"doi": null,
"abstractUrl": "/proceedings-article/icmeas/2021/976800a199/1zuuTPxToEU",
"parentPublication": {
"id": "proceedings/icmeas/2021/9768/0",
"title": "2021 7th International Conference on Mechanical Engineering and Automation Science (ICMEAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxFaLqv",
"title": "2017 6th International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"acronym": "smc-it",
"groupId": "1002093",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyQph1A",
"doi": "10.1109/SMC-IT.2017.21",
"title": "Machine Learning for Spacecraft Operations Support - The Mars Express Power Challenge",
"normalizedTitle": "Machine Learning for Spacecraft Operations Support - The Mars Express Power Challenge",
"abstract": "Mars Express (MEX) has been orbiting Mars, generating great science for over 13 years. The aging spacecraft faces challenges; eclipse seasons are getting longer, eclipse durations are increasing and battery degradation is worsening. Accurate power modelling, respecting the power budget, becomes more vital as this ensures MEX health and maximum science. Empirical thermal power models provide reliable long term predictions but lack sensitivity. Telemetry data accumulated during the mission is a rich information source from which to derive a new model. This paper shows how the MEX Flight Control Team released 3 Martian years of data and reached out to Machine Learning (ML) enthusiasts asking them to predict a fourth year of spacecraft telemetry. In return, the participants were invited to an open data day to meet the MEX operators, tour ESA and find out about many exciting missions, and present and share their solutions with other candidates and ESA staff members. But the reward of solving a complex challenge, in a novel environment for space application, lead an incredible response from the worldwide ML community. Using open source solutions, candidates built data-driven models which have been able to predict the power consumption of 33 thermal lines, every hour, over a full Martian year (687 Earth days). These models improve sensitivity and accuracy by an order of magnitude. The number of scientific observations may increase even during power constrained periods when incorporating such models into MEX mission planning. By releasing spacecraft data and engaging with ML communities, ESA has gained a novel means to better exploit spacecraftresources, increase scientific return, and so, prolong mission life.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Mars Express (MEX) has been orbiting Mars, generating great science for over 13 years. The aging spacecraft faces challenges; eclipse seasons are getting longer, eclipse durations are increasing and battery degradation is worsening. Accurate power modelling, respecting the power budget, becomes more vital as this ensures MEX health and maximum science. Empirical thermal power models provide reliable long term predictions but lack sensitivity. Telemetry data accumulated during the mission is a rich information source from which to derive a new model. This paper shows how the MEX Flight Control Team released 3 Martian years of data and reached out to Machine Learning (ML) enthusiasts asking them to predict a fourth year of spacecraft telemetry. In return, the participants were invited to an open data day to meet the MEX operators, tour ESA and find out about many exciting missions, and present and share their solutions with other candidates and ESA staff members. But the reward of solving a complex challenge, in a novel environment for space application, lead an incredible response from the worldwide ML community. Using open source solutions, candidates built data-driven models which have been able to predict the power consumption of 33 thermal lines, every hour, over a full Martian year (687 Earth days). These models improve sensitivity and accuracy by an order of magnitude. The number of scientific observations may increase even during power constrained periods when incorporating such models into MEX mission planning. By releasing spacecraft data and engaging with ML communities, ESA has gained a novel means to better exploit spacecraftresources, increase scientific return, and so, prolong mission life.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Mars Express (MEX) has been orbiting Mars, generating great science for over 13 years. The aging spacecraft faces challenges; eclipse seasons are getting longer, eclipse durations are increasing and battery degradation is worsening. Accurate power modelling, respecting the power budget, becomes more vital as this ensures MEX health and maximum science. Empirical thermal power models provide reliable long term predictions but lack sensitivity. Telemetry data accumulated during the mission is a rich information source from which to derive a new model. This paper shows how the MEX Flight Control Team released 3 Martian years of data and reached out to Machine Learning (ML) enthusiasts asking them to predict a fourth year of spacecraft telemetry. In return, the participants were invited to an open data day to meet the MEX operators, tour ESA and find out about many exciting missions, and present and share their solutions with other candidates and ESA staff members. But the reward of solving a complex challenge, in a novel environment for space application, lead an incredible response from the worldwide ML community. Using open source solutions, candidates built data-driven models which have been able to predict the power consumption of 33 thermal lines, every hour, over a full Martian year (687 Earth days). These models improve sensitivity and accuracy by an order of magnitude. The number of scientific observations may increase even during power constrained periods when incorporating such models into MEX mission planning. By releasing spacecraft data and engaging with ML communities, ESA has gained a novel means to better exploit spacecraftresources, increase scientific return, and so, prolong mission life.",
"fno": "3462a082",
"keywords": [
"Learning Artificial Intelligence",
"Mars",
"Space Vehicles",
"Telemetry",
"Mars Express Power Challenge",
"Eclipse Durations",
"Battery Degradation",
"Power Budget",
"Empirical Thermal Power Models",
"Telemetry Data",
"MEX Flight Control Team",
"Spacecraft Telemetry",
"Open Source Solutions",
"Data Driven Models",
"Martian Year",
"MEX Mission Planning",
"Machine Learning",
"Space Vehicles",
"Data Models",
"Predictive Models",
"Mars",
"Planetary Orbits",
"Radio Transmitters",
"Space Operations",
"Machine Learning",
"Ai",
"Challenge",
"Open Data"
],
"authors": [
{
"affiliation": null,
"fullName": "Luke Lucas",
"givenName": "Luke",
"surname": "Lucas",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Redouane Boumghar",
"givenName": "Redouane",
"surname": "Boumghar",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "smc-it",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-09-01T00:00:00",
"pubType": "proceedings",
"pages": "82-87",
"year": "2017",
"issn": null,
"isbn": "978-1-5386-3462-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3462a076",
"articleId": "12OmNB8TUaX",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3462a088",
"articleId": "12OmNwF0BNt",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/smc-it/2006/2644/0/01659551",
"title": "Space autonomy as migration of functionality: the Mars case",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2006/01659551/12OmNBKW9A9",
"parentPublication": {
"id": "proceedings/smc-it/2006/2644/0",
"title": "2006 2nd IEEE International Conference on Space Mission Challenges for Information Technology",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2006/2734/0/04031093",
"title": "Bio-Inspired Control Approach to Multiple Spacecraft Formation Flying",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2006/04031093/12OmNBlXs7R",
"parentPublication": {
"id": "proceedings/e-science/2006/2734/0",
"title": "2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smc-it/2017/3462/0/3462a070",
"title": "Telemetry Anomaly Detection System Using Machine Learning to Streamline Mission Operations",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2017/3462a070/12OmNqJHFFx",
"parentPublication": {
"id": "proceedings/smc-it/2017/3462/0",
"title": "2017 6th International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smc-it/2017/3462/0/3462a088",
"title": "Predicting Thermal Power Consumption of the Mars Express Satellite with Machine Learning",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2017/3462a088/12OmNwF0BNt",
"parentPublication": {
"id": "proceedings/smc-it/2017/3462/0",
"title": "2017 6th International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/1992/2910/0/00201499",
"title": "Elevation modeling and motion tracking using a binocular camera system with seven degrees of freedom",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/1992/00201499/12OmNxdm4ui",
"parentPublication": {
"id": "proceedings/icpr/1992/2910/0",
"title": "1992 11th IAPR International Conference on Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/co/2008/12/04712499",
"title": "Autonomy for Mars Rovers: Past, Present, and Future",
"doi": null,
"abstractUrl": "/magazine/co/2008/12/04712499/13rRUILtJux",
"parentPublication": {
"id": "mags/co",
"title": "Computer",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smc-it/2021/8560/0/856000a031",
"title": "Discovering outliers in the Mars Express thermal power consumption patterns",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2021/856000a031/1ANLeyfNbfa",
"parentPublication": {
"id": "proceedings/smc-it/2021/8560/0",
"title": "2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smc-it/2021/8560/0/856000a044",
"title": "GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2021/856000a044/1ANLf6YfqAo",
"parentPublication": {
"id": "proceedings/smc-it/2021/8560/0",
"title": "2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smc-it/2019/1545/0/154500a009",
"title": "Quantifying the Effects of Gyroless Flying of the Mars Express Spacecraft with Machine Learning",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2019/154500a009/1e10rKZkhva",
"parentPublication": {
"id": "proceedings/smc-it/2019/1545/0",
"title": "2019 IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scc/2021/2400/0/240000a095",
"title": "Comparing Data Processing and Transmission Scenarios for Spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/scc/2021/240000a095/1xgBixNf6H6",
"parentPublication": {
"id": "proceedings/scc/2021/2400/0",
"title": "2021 IEEE Space Computing Conference (SCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNqG0SXF",
"title": "Chaos-Fractals Theories and Applications, International Workshop on",
"acronym": "iwcfta",
"groupId": "1003012",
"volume": "0",
"displayVolume": "0",
"year": "2010",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzVoBIE",
"doi": "10.1109/IWCFTA.2010.56",
"title": "Libration Point Orbits and Its Invariant Manifolds Structure",
"normalizedTitle": "Libration Point Orbits and Its Invariant Manifolds Structure",
"abstract": "The invariant manifold structures of the libration points for restricted three-body problem will provide the framework for understanding complex dynamical phenomena. These stable and unstable invariant manifold tubes associated to libration point orbits can be used to construct new low-energy spacecraft trajectories. So, in this paper, we will introduce the libration point and its invariant manifolds structure. First, we introduce the restricted three-body problem, libration point and Halo orbit. Then, we discuss and provide the stable and unstable invariant manifold tubes associated to libration point orbits based on manifolds and dynamical system theory. Finally, we apply these dynamical properties to design the capture trajectory in planetary exploration.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The invariant manifold structures of the libration points for restricted three-body problem will provide the framework for understanding complex dynamical phenomena. These stable and unstable invariant manifold tubes associated to libration point orbits can be used to construct new low-energy spacecraft trajectories. So, in this paper, we will introduce the libration point and its invariant manifolds structure. First, we introduce the restricted three-body problem, libration point and Halo orbit. Then, we discuss and provide the stable and unstable invariant manifold tubes associated to libration point orbits based on manifolds and dynamical system theory. Finally, we apply these dynamical properties to design the capture trajectory in planetary exploration.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The invariant manifold structures of the libration points for restricted three-body problem will provide the framework for understanding complex dynamical phenomena. These stable and unstable invariant manifold tubes associated to libration point orbits can be used to construct new low-energy spacecraft trajectories. So, in this paper, we will introduce the libration point and its invariant manifolds structure. First, we introduce the restricted three-body problem, libration point and Halo orbit. Then, we discuss and provide the stable and unstable invariant manifold tubes associated to libration point orbits based on manifolds and dynamical system theory. Finally, we apply these dynamical properties to design the capture trajectory in planetary exploration.",
"fno": "4247a316",
"keywords": [
"Restricted Three Body Problem",
"Libration Point Orbit",
"Invariant Manifold Construct"
],
"authors": [
{
"affiliation": null,
"fullName": "Dong Qiao",
"givenName": "Dong",
"surname": "Qiao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Rui Xu",
"givenName": "Rui",
"surname": "Xu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Haibin Shang",
"givenName": "Haibin",
"surname": "Shang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iwcfta",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2010-10-01T00:00:00",
"pubType": "proceedings",
"pages": "316-320",
"year": "2010",
"issn": null,
"isbn": "978-0-7695-4247-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4247a311",
"articleId": "12OmNwDj1bC",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4247a321",
"articleId": "12OmNAlvHw9",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/2012/1226/0/050O1B01",
"title": "Affine-invariant, elastic shape analysis of planar contours",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2012/050O1B01/12OmNAYGlqZ",
"parentPublication": {
"id": "proceedings/cvpr/2012/1226/0",
"title": "2012 IEEE Conference on Computer Vision and Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icie/2009/3679/1/3679a569",
"title": "Dynamical Detecting Technique of Nonfunctional Dependence Program Invariant",
"doi": null,
"abstractUrl": "/proceedings-article/icie/2009/3679a569/12OmNB836M0",
"parentPublication": {
"id": "proceedings/icie/2009/3679/1",
"title": "2009 WASE International Conference on Information Engineering (ICIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2006/2521/4/252140956",
"title": "Graph-based transformation manifolds for invariant pattern recognition with kernel methods",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2006/252140956/12OmNC8uRil",
"parentPublication": {
"id": "proceedings/icpr/2006/2521/4",
"title": "Pattern Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/gcis/2009/3571/4/3571d053",
"title": "Automatic Identification of Shaft Orbits for Steam Turbine Generator Sets",
"doi": null,
"abstractUrl": "/proceedings-article/gcis/2009/3571d053/12OmNCzKlMN",
"parentPublication": {
"id": "proceedings/gcis/2009/3571/4",
"title": "2009 WRI Global Congress on Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/apcip/2009/3699/2/3699b168",
"title": "Discriminating Structure and Random Texture Images with Binary Fourier Spectrum for Invariant Texture Retrieval",
"doi": null,
"abstractUrl": "/proceedings-article/apcip/2009/3699b168/12OmNrnJ6Ro",
"parentPublication": {
"id": "proceedings/apcip/2009/3699/1",
"title": "Information Processing, Asia-Pacific Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2006/2521/3/252131228",
"title": "Graph-based transformation manifolds for invariant pattern recognition with kernel methods",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2006/252131228/12OmNvFHfKN",
"parentPublication": {
"id": "proceedings/icpr/2006/2521/3",
"title": "2006 18th International Conference on Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwcfta/2011/4560/0/4560a013",
"title": "Local Manifolds and Closed Orbits of the Conjugate Lorenz-Type System",
"doi": null,
"abstractUrl": "/proceedings-article/iwcfta/2011/4560a013/12OmNxEjY9i",
"parentPublication": {
"id": "proceedings/iwcfta/2011/4560/0",
"title": "Chaos-Fractals Theories and Applications, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2011/9140/0/05771415",
"title": "Towards view-invariant expression analysis using analytic shape manifolds",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2011/05771415/12OmNyFCvZF",
"parentPublication": {
"id": "proceedings/fg/2011/9140/0",
"title": "Face and Gesture 2011",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2011/0394/0/05995529",
"title": "Deformation and illumination invariant feature point descriptor",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2011/05995529/12OmNzcxYXz",
"parentPublication": {
"id": "proceedings/cvpr/2011/0394/0",
"title": "CVPR 2011",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/1997/10/i1146",
"title": "The Illumination-Invariant Matching of Deterministic Local Structure in Color Images",
"doi": null,
"abstractUrl": "/journal/tp/1997/10/i1146/13rRUxNEqQY",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKipL",
"title": "2017 International Conference on Cyber Conflict (CyCon U.S.)",
"acronym": "cycon-u-s",
"groupId": "1815984",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45Wda7hd",
"doi": "10.1109/CYCONUS.2017.8167508",
"title": "Considerations for secure and resilient satellite architectures",
"normalizedTitle": "Considerations for secure and resilient satellite architectures",
"abstract": "Traditionally, the focus of security and ensuring confidentiality, integrity, and availability of data in spacecraft systems has been on the ground segment and the uplink/downlink components. Although these are the most obvious attack vectors, potential security risks against the satellite's platform is also a serious concern. This paper discusses a notional satellite architecture and explores security vulnerabilities using a systems-level approach. Viewing attacks through this paradigm highlights several potential attack vectors that conventional satellite security approaches fail to consider. If left undetected, these could yield physical effects limiting the satellite's mission or performance. The approach presented aids in risk analysis and gives insight into architectural design considerations which improve the system's overall resiliency.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Traditionally, the focus of security and ensuring confidentiality, integrity, and availability of data in spacecraft systems has been on the ground segment and the uplink/downlink components. Although these are the most obvious attack vectors, potential security risks against the satellite's platform is also a serious concern. This paper discusses a notional satellite architecture and explores security vulnerabilities using a systems-level approach. Viewing attacks through this paradigm highlights several potential attack vectors that conventional satellite security approaches fail to consider. If left undetected, these could yield physical effects limiting the satellite's mission or performance. The approach presented aids in risk analysis and gives insight into architectural design considerations which improve the system's overall resiliency.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Traditionally, the focus of security and ensuring confidentiality, integrity, and availability of data in spacecraft systems has been on the ground segment and the uplink/downlink components. Although these are the most obvious attack vectors, potential security risks against the satellite's platform is also a serious concern. This paper discusses a notional satellite architecture and explores security vulnerabilities using a systems-level approach. Viewing attacks through this paradigm highlights several potential attack vectors that conventional satellite security approaches fail to consider. If left undetected, these could yield physical effects limiting the satellite's mission or performance. The approach presented aids in risk analysis and gives insight into architectural design considerations which improve the system's overall resiliency.",
"fno": "08167508",
"keywords": [
"Satellites",
"Security",
"Satellite Broadcasting",
"Space Vehicles",
"Propulsion",
"Orbits",
"Aerospace Electronics",
"Satellite Architecture",
"Security",
"Vulnerability Analysis",
"Cyber Physical Systems"
],
"authors": [
{
"affiliation": "Air Force Institute of Technology, Wright-Patterson Air Force Base, OH 45433",
"fullName": "John M. Willis",
"givenName": "John M.",
"surname": "Willis",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Air Force Institute of Technology, Wright-Patterson Air Force Base, OH 45433",
"fullName": "Robert F. Mills",
"givenName": "Robert F.",
"surname": "Mills",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Air Force Institute of Technology, Wright-Patterson Air Force Base, OH 45433",
"fullName": "Logan O. Mailloux",
"givenName": "Logan O.",
"surname": "Mailloux",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Air Force Institute of Technology, Wright-Patterson Air Force Base, OH 45433",
"fullName": "Scott R. Graham",
"givenName": "Scott R.",
"surname": "Graham",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cycon-u-s",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-11-01T00:00:00",
"pubType": "proceedings",
"pages": "16-22",
"year": "2017",
"issn": null,
"isbn": "978-1-5386-2379-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08167507",
"articleId": "17D45WLdYQL",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08167509",
"articleId": "17D45WrVgfP",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ssst/1988/0847/0/00017099",
"title": "Simulation of satellite motion for intra-satellite pointing, acquisition, and tracking",
"doi": null,
"abstractUrl": "/proceedings-article/ssst/1988/00017099/12OmNCbU314",
"parentPublication": {
"id": "proceedings/ssst/1988/0847/0",
"title": "The Twentieth Southeastern Symposium on System Theory",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicta/2011/4353/2/05750974",
"title": "Research and Simulation on an Autonomous Routing Algorithm for GEO_LEO Satellite Networks",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2011/05750974/12OmNqAU6C0",
"parentPublication": {
"id": "icicta/2011/4353/2",
"title": "Intelligent Computation Technology and Automation, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccet/2009/3521/2/3521b350",
"title": "Azimuth and Elevation of Slightly Inclined Geostationary-satellite Orbits",
"doi": null,
"abstractUrl": "/proceedings-article/iccet/2009/3521b350/12OmNwDj16u",
"parentPublication": {
"id": "proceedings/iccet/2009/3521/1",
"title": "Computer Engineering and Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isecs/2010/8231/0/05557443",
"title": "Authentication and Access Control in Satellite Network",
"doi": null,
"abstractUrl": "/proceedings-article/isecs/2010/05557443/12OmNy2Jt4j",
"parentPublication": {
"id": "proceedings/isecs/2010/8231/0",
"title": "2010 Third International Symposium on Electronic Commerce and Security (ISECS 2010)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ec/2019/01/07560669",
"title": "An Adaptive Beam Control Technique for Q Band Satellite to Maximize Diversity Gain and Mitigate Interference to Terrestrial Networks",
"doi": null,
"abstractUrl": "/journal/ec/2019/01/07560669/13rRUwwsly4",
"parentPublication": {
"id": "trans/ec",
"title": "IEEE Transactions on Emerging Topics in Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/msn/2018/0548/0/054800a146",
"title": "Controller Placement in Software-Defined Satellite Networks",
"doi": null,
"abstractUrl": "/proceedings-article/msn/2018/054800a146/19m3p0Uxj20",
"parentPublication": {
"id": "proceedings/msn/2018/0548/0",
"title": "2018 14th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icfec/2022/9524/0/952400a066",
"title": "QoS-Aware Resource Placement for LEO Satellite Edge Computing",
"doi": null,
"abstractUrl": "/proceedings-article/icfec/2022/952400a066/1EmqTujyqPu",
"parentPublication": {
"id": "proceedings/icfec/2022/9524/0",
"title": "2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smc-it/2019/1545/0/154500a062",
"title": "A Machine Learning Approach to Modeling Satellite Behavior",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2019/154500a062/1e10s2xCmcw",
"parentPublication": {
"id": "proceedings/smc-it/2019/1545/0",
"title": "2019 IEEE International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/inciscos/2019/5581/0/558100a169",
"title": "Lifetime and Access Point Determination of a LEO Ecuadorian Satellite Using the STK Software",
"doi": null,
"abstractUrl": "/proceedings-article/inciscos/2019/558100a169/1iHUGau8TOE",
"parentPublication": {
"id": "proceedings/inciscos/2019/5581/0",
"title": "2019 International Conference on Information Systems and Computer Science (INCISCOS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmeas/2020/9272/0/927200a140",
"title": "Small Satellite Magnetic Control Study Based on Simulator Testbed",
"doi": null,
"abstractUrl": "/proceedings-article/icmeas/2020/927200a140/1rsiCyHhCFi",
"parentPublication": {
"id": "proceedings/icmeas/2020/9272/0",
"title": "2020 6th International Conference on Mechanical Engineering and Automation Science (ICMEAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1AFswbWGnQs",
"title": "2021 2nd International Conference on Computer Engineering and Intelligent Control (ICCEIC)",
"acronym": "icceic",
"groupId": "1840484",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1AFszg74JGg",
"doi": "10.1109/ICCEIC54227.2021.00041",
"title": "Research on Architecture of Spacecraft Intelligent Control System",
"normalizedTitle": "Research on Architecture of Spacecraft Intelligent Control System",
"abstract": "Intelligent control system is the key subsystem to improve the autonomous operation ability and intelligence of spacecraft in orbit. The paper introduces the definition, basic characteristics and intelligent classification of spacecraft intelligent control system, puts forward an architecture of spacecraft intelligent control system based on time triggered Ethernet (TTE) technology, and gives the corresponding software architecture design,and points out the main contents and key technologies to be studied, It provides a technical reference for the development of spacecraft intelligent control system.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Intelligent control system is the key subsystem to improve the autonomous operation ability and intelligence of spacecraft in orbit. The paper introduces the definition, basic characteristics and intelligent classification of spacecraft intelligent control system, puts forward an architecture of spacecraft intelligent control system based on time triggered Ethernet (TTE) technology, and gives the corresponding software architecture design,and points out the main contents and key technologies to be studied, It provides a technical reference for the development of spacecraft intelligent control system.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Intelligent control system is the key subsystem to improve the autonomous operation ability and intelligence of spacecraft in orbit. The paper introduces the definition, basic characteristics and intelligent classification of spacecraft intelligent control system, puts forward an architecture of spacecraft intelligent control system based on time triggered Ethernet (TTE) technology, and gives the corresponding software architecture design,and points out the main contents and key technologies to be studied, It provides a technical reference for the development of spacecraft intelligent control system.",
"fno": "021200a172",
"keywords": [
"Attitude Control",
"Intelligent Control",
"Local Area Networks",
"Software Architecture",
"Space Vehicles",
"Spacecraft Intelligent Control System",
"Autonomous Operation Ability",
"Time Triggered Ethernet",
"TTE Technology",
"Software Architecture Design",
"Space Vehicles",
"Software Architecture",
"Computer Architecture",
"Ethernet",
"Orbits",
"Intelligent Control",
"Intelligent",
"Spacecraft",
"Control",
"Architecture"
],
"authors": [
{
"affiliation": "Beijing Institute of Control Engineering,Key Laboratory of Space Intelligent Control And National Defense Science and Technology,Beijing,China",
"fullName": "Jinggang Gong",
"givenName": "Jinggang",
"surname": "Gong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Control Engineering,Key Laboratory of Space Intelligent Control And National Defense Science and Technology,Beijing,China",
"fullName": "Xiaojing Zhang",
"givenName": "Xiaojing",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Control Engineering,Key Laboratory of Space Intelligent Control And National Defense Science and Technology,Beijing,China",
"fullName": "Yu Ning",
"givenName": "Yu",
"surname": "Ning",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Control Engineering,Key Laboratory of Space Intelligent Control And National Defense Science and Technology,Beijing,China",
"fullName": "Nan Lv",
"givenName": "Nan",
"surname": "Lv",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icceic",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-11-01T00:00:00",
"pubType": "proceedings",
"pages": "172-176",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-0212-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "021200a162",
"articleId": "1AFsyd6ElMc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "021200a177",
"articleId": "1AFsB3dTLq0",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cca/2000/6562/0/00897542",
"title": "Spacecraft attitude control in Hamiltonian framework",
"doi": null,
"abstractUrl": "/proceedings-article/cca/2000/00897542/12OmNApu5pC",
"parentPublication": {
"id": "proceedings/cca/2000/6562/0",
"title": "Proceedings of the 2000 IEEE International Conference on Control Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cso/2014/5372/0/5372a194",
"title": "Control Input Saturation Sliding-Mode Control System Design for Spacecraft Based on Neural Network",
"doi": null,
"abstractUrl": "/proceedings-article/cso/2014/5372a194/12OmNB7tUpx",
"parentPublication": {
"id": "proceedings/cso/2014/5372/0",
"title": "2014 Seventh International Joint Conference on Computational Sciences and Optimization (CSO)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2015/6850/0/6850a862",
"title": "Optimal Reconfiguration Control of Electromagnetic Spacecraft Formation Using Gauss Pseudospectral Method",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2015/6850a862/12OmNBKEyw9",
"parentPublication": {
"id": "proceedings/icisce/2015/6850/0",
"title": "2015 2nd International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2006/2734/0/04031093",
"title": "Bio-Inspired Control Approach to Multiple Spacecraft Formation Flying",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2006/04031093/12OmNBlXs7R",
"parentPublication": {
"id": "proceedings/e-science/2006/2734/0",
"title": "2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ithings-greencom-cpscom-smartdata-cybermatics/2022/5417/0/541700a452",
"title": "Fixed-time Control for Liquid-filled Flexible Spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/ithings-greencom-cpscom-smartdata-cybermatics/2022/541700a452/1Hcn0hhi18I",
"parentPublication": {
"id": "proceedings/ithings-greencom-cpscom-smartdata-cybermatics/2022/5417/0",
"title": "2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itca/2019/6494/0/09092456",
"title": "Architecture of Spacecraft Control Software Based on Component Perception",
"doi": null,
"abstractUrl": "/proceedings-article/itca/2019/09092456/1jPaVljeUA8",
"parentPublication": {
"id": "proceedings/itca/2019/6494/0",
"title": "2019 International Conference on Information Technology and Computer Application (ITCA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cool-chips/2020/6347/0/09097637",
"title": "Space Responsive Multithreaded Processor (SRMTP) for Spacecraft Control",
"doi": null,
"abstractUrl": "/proceedings-article/cool-chips/2020/09097637/1k0PdRwV4n6",
"parentPublication": {
"id": "proceedings/cool-chips/2020/6347/0",
"title": "2020 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccea/2020/5904/0/09103685",
"title": "Overview of Fractionated Spacecraft Technology",
"doi": null,
"abstractUrl": "/proceedings-article/iccea/2020/09103685/1kesAXrdETC",
"parentPublication": {
"id": "proceedings/iccea/2020/5904/0",
"title": "2020 International Conference on Computer Engineering and Application (ICCEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222254",
"title": "Extraction and Visualization of Poincare Map Topology for Spacecraft Trajectory Design",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222254/1nTqoumGCS4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiea/2020/8288/0/828800a465",
"title": "Research on Automatic Installing Technology of Deployable Thermal Radiator in Spacecraft Field",
"doi": null,
"abstractUrl": "/proceedings-article/aiea/2020/828800a465/1nTunkF9BVm",
"parentPublication": {
"id": "proceedings/aiea/2020/8288/0",
"title": "2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1ANLPXZs74s",
"title": "2022 International Seminar on Computer Science and Engineering Technology (SCSET)",
"acronym": "scset",
"groupId": "1845604",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1ANLSJPiA5W",
"doi": "10.1109/SCSET55041.2022.00048",
"title": "Dynamic multi-target trajectory planning of aircraft based on Gaussian pseudo-spectral method",
"normalizedTitle": "Dynamic multi-target trajectory planning of aircraft based on Gaussian pseudo-spectral method",
"abstract": "Research aircraft “one-to-multiple” in-orbit debris recovery problem, was proposed based on improved gaussian pseudo-spectral method of spacecraft multi-target trajectory optimization method. Through the strong constraint of the inner point, the multi-stage transition trajectory of the aircraft is guaranteed to be smooth. Based on the Lambert double-pulse model, a strategy to determine the mission time window based on the slope of the time-fuel curve is proposed. The iteration strategy of initial value generator based on PSO algorithm is proposed. The simulation results show that the proposed method has large convergence range, is insensitive to the initial value and has high design accuracy. It is an important method to realize the optimization of multi-target in-orbit debris recovery trajectory.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Research aircraft “one-to-multiple” in-orbit debris recovery problem, was proposed based on improved gaussian pseudo-spectral method of spacecraft multi-target trajectory optimization method. Through the strong constraint of the inner point, the multi-stage transition trajectory of the aircraft is guaranteed to be smooth. Based on the Lambert double-pulse model, a strategy to determine the mission time window based on the slope of the time-fuel curve is proposed. The iteration strategy of initial value generator based on PSO algorithm is proposed. The simulation results show that the proposed method has large convergence range, is insensitive to the initial value and has high design accuracy. It is an important method to realize the optimization of multi-target in-orbit debris recovery trajectory.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Research aircraft “one-to-multiple” in-orbit debris recovery problem, was proposed based on improved gaussian pseudo-spectral method of spacecraft multi-target trajectory optimization method. Through the strong constraint of the inner point, the multi-stage transition trajectory of the aircraft is guaranteed to be smooth. Based on the Lambert double-pulse model, a strategy to determine the mission time window based on the slope of the time-fuel curve is proposed. The iteration strategy of initial value generator based on PSO algorithm is proposed. The simulation results show that the proposed method has large convergence range, is insensitive to the initial value and has high design accuracy. It is an important method to realize the optimization of multi-target in-orbit debris recovery trajectory.",
"fno": "787600a168",
"keywords": [
"Aerospace Control",
"Iterative Methods",
"Optimal Control",
"Optimisation",
"Particle Swarm Optimisation",
"Perturbation Techniques",
"Position Control",
"Space Vehicles",
"Target Tracking",
"Dynamic Multitarget Trajectory Planning",
"Research Aircraft",
"Debris Recovery Problem",
"Improved Gaussian Pseudospectral Method",
"Spacecraft Multitarget Trajectory Optimization Method",
"Inner Point",
"Multistage Transition Trajectory",
"Lambert Double Pulse Model",
"Mission Time Window",
"Time Fuel Curve",
"Iteration Strategy",
"Initial Value Generator",
"Debris Recovery Trajectory",
"PSO Algorithm",
"Space Vehicles",
"Seminars",
"Trajectory Planning",
"Simulation",
"Heuristic Algorithms",
"Generators",
"Aircraft",
"Gaussian Pseudospectral Method",
"Optimization",
"Multi Target"
],
"authors": [
{
"affiliation": "Beijing Institute of Space Long March Vehicle,Beijing,China",
"fullName": "Junyi Zhou",
"givenName": "Junyi",
"surname": "Zhou",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Space Long March Vehicle,Beijing,China",
"fullName": "Ruiqi Sun",
"givenName": "Ruiqi",
"surname": "Sun",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Space Long March Vehicle,Beijing,China",
"fullName": "Weixiu Yang",
"givenName": "Weixiu",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Space Long March Vehicle,Beijing,China",
"fullName": "Shenghai Jiao",
"givenName": "Shenghai",
"surname": "Jiao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Space Long March Vehicle,Beijing,China",
"fullName": "Jiaqi Liu",
"givenName": "Jiaqi",
"surname": "Liu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "scset",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-01-01T00:00:00",
"pubType": "proceedings",
"pages": "168-173",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-7876-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "787600a164",
"articleId": "1ANLRz2BIcg",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "787600a174",
"articleId": "1ANLQtGz6z6",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/aipr/2013/2540/0/06749308",
"title": "Error characterization of flight trajectories reconstructed using Structure from Motion",
"doi": null,
"abstractUrl": "/proceedings-article/aipr/2013/06749308/12OmNwKYbrl",
"parentPublication": {
"id": "proceedings/aipr/2013/2540/0",
"title": "2013 IEEE Applied Imagery Pattern Recognition Workshop: Sensing for Control and Augmentation (AIPR 2013)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2016/2535/0/2535a158",
"title": "Aircraft Trajectory Prediction Based on Genetic Programming",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2016/2535a158/12OmNy4IF6y",
"parentPublication": {
"id": "proceedings/icisce/2016/2535/0",
"title": "2016 3rd International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cca/2000/6562/0/00897544",
"title": "Non-minimum phase output reference trajectory tracking for a PVTOL aircraft",
"doi": null,
"abstractUrl": "/proceedings-article/cca/2000/00897544/12OmNzC5T70",
"parentPublication": {
"id": "proceedings/cca/2000/6562/0",
"title": "Proceedings of the 2000 IEEE International Conference on Control Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cis/2022/4627/0/462700a409",
"title": "Parallelization of multi-trajectory calculation based on Runge-Kutta method",
"doi": null,
"abstractUrl": "/proceedings-article/cis/2022/462700a409/1M9pZPQzXDq",
"parentPublication": {
"id": "proceedings/cis/2022/4627/0",
"title": "2022 18th International Conference on Computational Intelligence and Security (CIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/percom/2019/9148/0/08767400",
"title": "OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness",
"doi": null,
"abstractUrl": "/proceedings-article/percom/2019/08767400/1bQzmc6nwqc",
"parentPublication": {
"id": "proceedings/percom/2019/9148/0",
"title": "2019 IEEE International Conference on Pervasive Computing and Communications (PerCom)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccnea/2019/3977/0/397700a447",
"title": "Trajectory Tracking Controller Based on PID-NLADRC",
"doi": null,
"abstractUrl": "/proceedings-article/iccnea/2019/397700a447/1fw1u2vSIOQ",
"parentPublication": {
"id": "proceedings/iccnea/2019/3977/0",
"title": "2019 International Conference on Computer Network, Electronic and Automation (ICCNEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isads/2019/1672/0/09155962",
"title": "Flight Trajectory Clustering: a framework that uses Planned Route data",
"doi": null,
"abstractUrl": "/proceedings-article/isads/2019/09155962/1m1jUoMsfWo",
"parentPublication": {
"id": "proceedings/isads/2019/1672/0",
"title": "2019 IEEE 14th International Symposium on Autonomous Decentralized System (ISADS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmeae/2020/9904/0/990400a085",
"title": "Two-layer saturated PID controller for the trajectory tracking of a quadrotor UAV",
"doi": null,
"abstractUrl": "/proceedings-article/icmeae/2020/990400a085/1rsiTd07Imk",
"parentPublication": {
"id": "proceedings/icmeae/2020/9904/0",
"title": "2020 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmcce/2020/2314/0/231400a750",
"title": "Trajectory Optimization and Tracking Control of a Morphing Aircraft",
"doi": null,
"abstractUrl": "/proceedings-article/icmcce/2020/231400a750/1tzz5tA4juM",
"parentPublication": {
"id": "proceedings/icmcce/2020/2314/0",
"title": "2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icaie/2021/2492/0/249200a015",
"title": "A Comparative Simulation Study of Multi-aircraft Cooperative Task Planning Based on Artificial Intelligence Optimization Algorithm",
"doi": null,
"abstractUrl": "/proceedings-article/icaie/2021/249200a015/1wV1H3i0l2M",
"parentPublication": {
"id": "proceedings/icaie/2021/2492/0",
"title": "2021 2nd International Conference on Artificial Intelligence and Education (ICAIE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1kesumCiLUA",
"title": "2020 International Conference on Computer Engineering and Application (ICCEA)",
"acronym": "iccea",
"groupId": "1040032",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1kesAXrdETC",
"doi": "10.1109/ICCEA50009.2020.00150",
"title": "Overview of Fractionated Spacecraft Technology",
"normalizedTitle": "Overview of Fractionated Spacecraft Technology",
"abstract": "The fractionated spacecraft technology, which decomposes the traditional integrated satellite into several functional modules according to the functional differences, with the characteristics of low mission cost, high performance, high reliability and high survivability, is now the hot spot of aviation research in various countries. Based on the fractionated spacecraft architecture design, this paper summarizes the key technologies of fractionated spacecraft, and analyzes the typical applications, which has certain reference value for the development of fractionated spacecraft technology in China.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The fractionated spacecraft technology, which decomposes the traditional integrated satellite into several functional modules according to the functional differences, with the characteristics of low mission cost, high performance, high reliability and high survivability, is now the hot spot of aviation research in various countries. Based on the fractionated spacecraft architecture design, this paper summarizes the key technologies of fractionated spacecraft, and analyzes the typical applications, which has certain reference value for the development of fractionated spacecraft technology in China.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The fractionated spacecraft technology, which decomposes the traditional integrated satellite into several functional modules according to the functional differences, with the characteristics of low mission cost, high performance, high reliability and high survivability, is now the hot spot of aviation research in various countries. Based on the fractionated spacecraft architecture design, this paper summarizes the key technologies of fractionated spacecraft, and analyzes the typical applications, which has certain reference value for the development of fractionated spacecraft technology in China.",
"fno": "09103685",
"keywords": [
"Aerospace Computing",
"Artificial Satellites",
"Fractionated Spacecraft Technology",
"Integrated Satellite",
"Functional Modules",
"High Reliability",
"High Survivability",
"Fractionated Spacecraft Architecture Design",
"Network Architecture",
"Space Vehicles",
"Wireless Networks",
"Fractionated Spacecraft",
"Modular",
"Wireless Network"
],
"authors": [
{
"affiliation": "Hefei University,Hefei,China",
"fullName": "Linghong Chi",
"givenName": "Linghong",
"surname": "Chi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hefei University,Hefei,China",
"fullName": "Fei Sun",
"givenName": "Fei",
"surname": "Sun",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hefei University,Hefei,China",
"fullName": "Zhenhua Liu",
"givenName": "Zhenhua",
"surname": "Liu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Hefei University,Hefei,China",
"fullName": "Chuanwen Lin",
"givenName": "Chuanwen",
"surname": "Lin",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccea",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-03-01T00:00:00",
"pubType": "proceedings",
"pages": "689-692",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-5904-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09103742",
"articleId": "1kesB1fnV7i",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09103732",
"articleId": "1kesuZQV6Du",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/imccc/2016/1195/0/07774902",
"title": "Design and Key Technology of MES for Spacecraft Assembly",
"doi": null,
"abstractUrl": "/proceedings-article/imccc/2016/07774902/12OmNvSbBvm",
"parentPublication": {
"id": "proceedings/imccc/2016/1195/0",
"title": "2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/coginf/2010/8042/0/05599764",
"title": "Attitude synchronization of spacecraft formation using neural network",
"doi": null,
"abstractUrl": "/proceedings-article/coginf/2010/05599764/12OmNviZlwc",
"parentPublication": {
"id": "proceedings/coginf/2010/8042/0",
"title": "2010 9th IEEE International Conference on Cognitive Informatics (ICCI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ahs/2010/5889/0/05546219",
"title": "Wireless intra-spacecraft communication: The benefits and the challenges",
"doi": null,
"abstractUrl": "/proceedings-article/ahs/2010/05546219/12OmNxYtu3A",
"parentPublication": {
"id": "proceedings/ahs/2010/5889/0",
"title": "2010 NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2010)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2014/04/mcg2014040052",
"title": "Asteroid Modeling for Testing Spacecraft Approach and Landing",
"doi": null,
"abstractUrl": "/magazine/cg/2014/04/mcg2014040052/13rRUxYrbX4",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmcce/2018/8481/0/848100a446",
"title": "Optimization Design of Space Heat Flow Simulation Software for Spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/icmcce/2018/848100a446/17D45WWzW2S",
"parentPublication": {
"id": "proceedings/icmcce/2018/8481/0",
"title": "2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icceic/2021/0212/0/021200a172",
"title": "Research on Architecture of Spacecraft Intelligent Control System",
"doi": null,
"abstractUrl": "/proceedings-article/icceic/2021/021200a172/1AFszg74JGg",
"parentPublication": {
"id": "proceedings/icceic/2021/0212/0",
"title": "2021 2nd International Conference on Computer Engineering and Intelligent Control (ICCEIC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/itca/2019/6494/0/09092456",
"title": "Architecture of Spacecraft Control Software Based on Component Perception",
"doi": null,
"abstractUrl": "/proceedings-article/itca/2019/09092456/1jPaVljeUA8",
"parentPublication": {
"id": "proceedings/itca/2019/6494/0",
"title": "2019 International Conference on Information Technology and Computer Application (ITCA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiea/2020/8288/0/828800a465",
"title": "Research on Automatic Installing Technology of Deployable Thermal Radiator in Spacecraft Field",
"doi": null,
"abstractUrl": "/proceedings-article/aiea/2020/828800a465/1nTunkF9BVm",
"parentPublication": {
"id": "proceedings/aiea/2020/8288/0",
"title": "2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmcce/2020/2314/0/231400a428",
"title": "Effect of marman clamp system on dynamic characteristics of spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/icmcce/2020/231400a428/1tzzajiutIk",
"parentPublication": {
"id": "proceedings/icmcce/2020/2314/0",
"title": "2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmeas/2021/9768/0/976800a215",
"title": "Research on Vacuum Fire Absorption Technology for Manned Spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/icmeas/2021/976800a215/1zuuPxzKwcU",
"parentPublication": {
"id": "proceedings/icmeas/2021/9768/0",
"title": "2021 7th International Conference on Mechanical Engineering and Automation Science (ICMEAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1nTufXLuY2Q",
"title": "2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)",
"acronym": "aiea",
"groupId": "1838245",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1nTunkF9BVm",
"doi": "10.1109/AIEA51086.2020.00105",
"title": "Research on Automatic Installing Technology of Deployable Thermal Radiator in Spacecraft Field",
"normalizedTitle": "Research on Automatic Installing Technology of Deployable Thermal Radiator in Spacecraft Field",
"abstract": "The deployable thermal radiator is a thermal energy radiator which is gathered on the side wall of the spacecraft during launch and is deployed after orbiting. It has been widely used in foreign satellite platforms. In this paper, based on the requirements of a spacecraft for the first time to install a deployable thermal radiator, a full analysis of the installation conditions is come up with industrial robot-assisted assembly technology. A series of toolings is designed. A large-scale component installing method is proposed, which can effectively ensure the product installation reliability and greatly improve the overall assembly efficiency of the spacecraft assembly.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The deployable thermal radiator is a thermal energy radiator which is gathered on the side wall of the spacecraft during launch and is deployed after orbiting. It has been widely used in foreign satellite platforms. In this paper, based on the requirements of a spacecraft for the first time to install a deployable thermal radiator, a full analysis of the installation conditions is come up with industrial robot-assisted assembly technology. A series of toolings is designed. A large-scale component installing method is proposed, which can effectively ensure the product installation reliability and greatly improve the overall assembly efficiency of the spacecraft assembly.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The deployable thermal radiator is a thermal energy radiator which is gathered on the side wall of the spacecraft during launch and is deployed after orbiting. It has been widely used in foreign satellite platforms. In this paper, based on the requirements of a spacecraft for the first time to install a deployable thermal radiator, a full analysis of the installation conditions is come up with industrial robot-assisted assembly technology. A series of toolings is designed. A large-scale component installing method is proposed, which can effectively ensure the product installation reliability and greatly improve the overall assembly efficiency of the spacecraft assembly.",
"fno": "828800a465",
"keywords": [
"Aircraft Manufacture",
"Artificial Satellites",
"Industrial Robots",
"Mobile Robots",
"Reliability",
"Robotic Assembly",
"Industrial Robot Assisted Assembly Technology",
"Large Scale Component Installing Method",
"Automatic Installing Technology",
"Deployable Thermal Radiator",
"Spacecraft Field",
"Thermal Energy Radiator",
"Foreign Satellite Platforms",
"Product Installation Reliability",
"Spacecraft Assembly",
"Space Vehicles",
"Satellites",
"Automation",
"Service Robots",
"Instruments",
"Production",
"Orbits",
"Automatic Installing Technology Deployable Large Size Components Spacecraft Field"
],
"authors": [
{
"affiliation": "Beijing Institute of Spacecraft Environment Engineering",
"fullName": "Xiaohui Song",
"givenName": "Xiaohui",
"surname": "Song",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Spacecraft Environment Engineering",
"fullName": "Liang Guo",
"givenName": "Liang",
"surname": "Guo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Spacecraft Environment Engineering",
"fullName": "Ming Shan",
"givenName": "Ming",
"surname": "Shan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Beijing Institute of Spacecraft Environment Engineering",
"fullName": "Zhenyue Ren",
"givenName": "Zhenyue",
"surname": "Ren",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "aiea",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-06-01T00:00:00",
"pubType": "proceedings",
"pages": "465-468",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-8288-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "828800a461",
"articleId": "1nTuilluBWw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "828800a469",
"articleId": "1nTukeYePM4",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icisce/2015/6850/0/6850a862",
"title": "Optimal Reconfiguration Control of Electromagnetic Spacecraft Formation Using Gauss Pseudospectral Method",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2015/6850a862/12OmNBKEyw9",
"parentPublication": {
"id": "proceedings/icisce/2015/6850/0",
"title": "2015 2nd International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/rtss/2012/3098/0/06424800",
"title": "QoS-Based Resource Allocation for Next-Generation Spacecraft Networks",
"doi": null,
"abstractUrl": "/proceedings-article/rtss/2012/06424800/12OmNscOUay",
"parentPublication": {
"id": "proceedings/rtss/2012/3098/0",
"title": "2012 IEEE 33rd Real-Time Systems Symposium",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/imccc/2016/1195/0/07774902",
"title": "Design and Key Technology of MES for Spacecraft Assembly",
"doi": null,
"abstractUrl": "/proceedings-article/imccc/2016/07774902/12OmNvSbBvm",
"parentPublication": {
"id": "proceedings/imccc/2016/1195/0",
"title": "2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smc-it/2017/3462/0/3462a082",
"title": "Machine Learning for Spacecraft Operations Support - The Mars Express Power Challenge",
"doi": null,
"abstractUrl": "/proceedings-article/smc-it/2017/3462a082/12OmNyQph1A",
"parentPublication": {
"id": "proceedings/smc-it/2017/3462/0",
"title": "2017 6th International Conference on Space Mission Challenges for Information Technology (SMC-IT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmcce/2018/8481/0/848100a446",
"title": "Optimization Design of Space Heat Flow Simulation Software for Spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/icmcce/2018/848100a446/17D45WWzW2S",
"parentPublication": {
"id": "proceedings/icmcce/2018/8481/0",
"title": "2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icceic/2021/0212/0/021200a172",
"title": "Research on Architecture of Spacecraft Intelligent Control System",
"doi": null,
"abstractUrl": "/proceedings-article/icceic/2021/021200a172/1AFszg74JGg",
"parentPublication": {
"id": "proceedings/icceic/2021/0212/0",
"title": "2021 2nd International Conference on Computer Engineering and Intelligent Control (ICCEIC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisai/2021/0692/0/069200a736",
"title": "Failure Analysis and remedial measures of Infrared Lamp for spacecraft Thermal Test",
"doi": null,
"abstractUrl": "/proceedings-article/cisai/2021/069200a736/1BmOa11Dxu0",
"parentPublication": {
"id": "proceedings/cisai/2021/0692/0",
"title": "2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222254",
"title": "Extraction and Visualization of Poincare Map Topology for Spacecraft Trajectory Design",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222254/1nTqoumGCS4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aiea/2020/8288/0/828800a228",
"title": "Study on Mounting Technology of Deployable Large-Size Components Based on Industrial Robot in Spacecraft Field",
"doi": null,
"abstractUrl": "/proceedings-article/aiea/2020/828800a228/1nTuo3mYB5m",
"parentPublication": {
"id": "proceedings/aiea/2020/8288/0",
"title": "2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ifeea/2020/9627/0/962700a227",
"title": "Verification and Improvement of Electric Coupler Plugging in Spacecraft",
"doi": null,
"abstractUrl": "/proceedings-article/ifeea/2020/962700a227/1rvCBIwIHwQ",
"parentPublication": {
"id": "proceedings/ifeea/2020/9627/0",
"title": "2020 7th International Forum on Electrical Engineering and Automation (IFEEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNB836KQ",
"title": "IEEE/ACM SC95 Conference",
"acronym": "superc",
"groupId": "1000729",
"volume": "0",
"displayVolume": "0",
"year": "1995",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNCctfe2",
"doi": "10.1109/SUPERC.1995.242260",
"title": "Performance of a Parallel Global Atmospheric Chemical Tracer Model",
"normalizedTitle": "Performance of a Parallel Global Atmospheric Chemical Tracer Model",
"abstract": "As partof a NASA HPCC Grand Challenge project, we are designing and implementing a parallel atmospheric chemical tracer model that will be suitable for use in global simulations. To accomplish this goal, our starting point has been an atmospheric pollution model that was originally used to study pollution in the Los Angeles Basin. The model includes gas-phase and aqueous-phase chemistry, radiation, aerosol physics, advection, convection, deposition, visibility and emissions. The potential bottlenecks in the model for parallel implementation are the compute-intensiveODE solving phase with load balancing problems,and the communication-intensive-advection phase. We describe the implementation and performance results on a variety of platforms,with emphasis on a detailed performance model we developed to predict performance, identify bottlenecks, guide our implementation, assess scalability, and evaluate architectures. An atmospheric chemical tracer model such as the one we describe in this paper will be one component of a larger Earth Systems Model (ESM), being developed under the direction of C. R. Mechoso of UCLA, incorporating atmospheric dynamics, atmospheric physics, ocean dynamics, and a database and visualization system.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As partof a NASA HPCC Grand Challenge project, we are designing and implementing a parallel atmospheric chemical tracer model that will be suitable for use in global simulations. To accomplish this goal, our starting point has been an atmospheric pollution model that was originally used to study pollution in the Los Angeles Basin. The model includes gas-phase and aqueous-phase chemistry, radiation, aerosol physics, advection, convection, deposition, visibility and emissions. The potential bottlenecks in the model for parallel implementation are the compute-intensiveODE solving phase with load balancing problems,and the communication-intensive-advection phase. We describe the implementation and performance results on a variety of platforms,with emphasis on a detailed performance model we developed to predict performance, identify bottlenecks, guide our implementation, assess scalability, and evaluate architectures. An atmospheric chemical tracer model such as the one we describe in this paper will be one component of a larger Earth Systems Model (ESM), being developed under the direction of C. R. Mechoso of UCLA, incorporating atmospheric dynamics, atmospheric physics, ocean dynamics, and a database and visualization system.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "As partof a NASA HPCC Grand Challenge project, we are designing and implementing a parallel atmospheric chemical tracer model that will be suitable for use in global simulations. To accomplish this goal, our starting point has been an atmospheric pollution model that was originally used to study pollution in the Los Angeles Basin. The model includes gas-phase and aqueous-phase chemistry, radiation, aerosol physics, advection, convection, deposition, visibility and emissions. The potential bottlenecks in the model for parallel implementation are the compute-intensiveODE solving phase with load balancing problems,and the communication-intensive-advection phase. We describe the implementation and performance results on a variety of platforms,with emphasis on a detailed performance model we developed to predict performance, identify bottlenecks, guide our implementation, assess scalability, and evaluate architectures. An atmospheric chemical tracer model such as the one we describe in this paper will be one component of a larger Earth Systems Model (ESM), being developed under the direction of C. R. Mechoso of UCLA, incorporating atmospheric dynamics, atmospheric physics, ocean dynamics, and a database and visualization system.",
"fno": "01383217",
"keywords": [
"Chemicals",
"Atmospheric Modeling",
"Pollution",
"Physics",
"Aerodynamics",
"NASA",
"Chemistry",
"Aerosols",
"Concurrent Computing",
"Load Management"
],
"authors": [
{
"affiliation": "University of California at Berkeley",
"fullName": "J. Demmel",
"givenName": "J.",
"surname": "Demmel",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "S. Smith",
"givenName": "S.",
"surname": "Smith",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "superc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "1995-01-01T00:00:00",
"pubType": "proceedings",
"pages": "80-80",
"year": "1995",
"issn": null,
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "01383216",
"articleId": "12OmNs59JQW",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "01383218",
"articleId": "12OmNy5hRhq",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/shpcc/1992/2775/0/00232674",
"title": "A parallel implementation of the chemically reacting CFD code, SPARK",
"doi": null,
"abstractUrl": "/proceedings-article/shpcc/1992/00232674/12OmNAlvHU3",
"parentPublication": {
"id": "proceedings/shpcc/1992/2775/0",
"title": "1992 Proceedings Scalable High Performance Computing Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/1989/341/0/05349034",
"title": "Parallel MIMD programming for global models of atmospheric flow",
"doi": null,
"abstractUrl": "/proceedings-article/sc/1989/05349034/12OmNwDSdI5",
"parentPublication": {
"id": "proceedings/sc/1989/341/0",
"title": "Proceedings of the 1989 ACM/IEEE Conference on Supercomputing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/1995/2568/0/25680080",
"title": "Performance of a Parallel Global Atmospheric Chemical Tracer Model",
"doi": null,
"abstractUrl": "/proceedings-article/sc/1995/25680080/12OmNwNwzDM",
"parentPublication": {
"id": "proceedings/sc/1995/2568/0",
"title": "SC Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/shpcc/1994/5680/0/00296712",
"title": "Parallelizing a global atmospheric chemical tracer model",
"doi": null,
"abstractUrl": "/proceedings-article/shpcc/1994/00296712/12OmNxxNbOz",
"parentPublication": {
"id": "proceedings/shpcc/1994/5680/0",
"title": "Proceedings of IEEE Scalable High Performance Computing Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpads/2014/7615/0/07097840",
"title": "Physically based parallel ray tracer for the Metropolis light transport algorithm on the Tianhe-2 supercomputer",
"doi": null,
"abstractUrl": "/proceedings-article/icpads/2014/07097840/12OmNzmclKk",
"parentPublication": {
"id": "proceedings/icpads/2014/7615/0",
"title": "2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2018/9156/0/915600a268",
"title": "A Hybrid-Resolution Earth System Model",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2018/915600a268/17D45WXIkCT",
"parentPublication": {
"id": "proceedings/e-science/2018/9156/0",
"title": "2018 IEEE 14th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/1995/2568/0/01383217",
"title": "Performance of a Parallel Global Atmospheric Chemical Tracer Model",
"doi": null,
"abstractUrl": "/proceedings-article/sc/1995/01383217/1D87U25o7te",
"parentPublication": {
"id": "proceedings/sc/1995/2568/0",
"title": "SC Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/td/2019/11/08723098",
"title": "Accelerating Atmospheric Chemical Kinetics for Climate Simulations",
"doi": null,
"abstractUrl": "/journal/td/2019/11/08723098/1dZjA0savzq",
"parentPublication": {
"id": "trans/td",
"title": "IEEE Transactions on Parallel & Distributed Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412736",
"title": "Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412736/1tmhqSTuqo8",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cluster/2021/9666/0/966600a767",
"title": "Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs",
"doi": null,
"abstractUrl": "/proceedings-article/cluster/2021/966600a767/1xFuYwOjTeU",
"parentPublication": {
"id": "proceedings/cluster/2021/9666/0",
"title": "2021 IEEE International Conference on Cluster Computing (CLUSTER)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNwE9OtK",
"title": "2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)",
"acronym": "fccm",
"groupId": "1000289",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNCwCLu1",
"doi": "10.1109/FCCM.2015.52",
"title": "Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour",
"normalizedTitle": "Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour",
"abstract": "The computationally intensive nature of atmospheric modelling is an ideal target for hardware acceleration. Performance of hardware designs can be improved through the use of reduced precision arithmetic, but maintaining appropriate accuracy is essential. We explore reduced precision optimisation for simulating chaotic systems, targeting atmospheric modelling in which even minor changes in arithmetic behaviour can have a significant impact on system behaviour. Hence, standard techniques for comparing numerical accuracy are inappropriate. We use the Hellinger distance to compare statistical behaviour between reduced-precision CPU implementations to guide FPGA designs of a chaotic system, and analyse accuracy, performance and power efficiency of the resulting implementations. Our results show that with only a limited loss in accuracy corresponding to less than 10% uncertainly in input parameters, a single Xilinx Virtex 6 SXT475 FPGA can be 13 times faster and 23 times more power efficient than a 6-core Intel Xeon X5650 processor.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The computationally intensive nature of atmospheric modelling is an ideal target for hardware acceleration. Performance of hardware designs can be improved through the use of reduced precision arithmetic, but maintaining appropriate accuracy is essential. We explore reduced precision optimisation for simulating chaotic systems, targeting atmospheric modelling in which even minor changes in arithmetic behaviour can have a significant impact on system behaviour. Hence, standard techniques for comparing numerical accuracy are inappropriate. We use the Hellinger distance to compare statistical behaviour between reduced-precision CPU implementations to guide FPGA designs of a chaotic system, and analyse accuracy, performance and power efficiency of the resulting implementations. Our results show that with only a limited loss in accuracy corresponding to less than 10% uncertainly in input parameters, a single Xilinx Virtex 6 SXT475 FPGA can be 13 times faster and 23 times more power efficient than a 6-core Intel Xeon X5650 processor.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The computationally intensive nature of atmospheric modelling is an ideal target for hardware acceleration. Performance of hardware designs can be improved through the use of reduced precision arithmetic, but maintaining appropriate accuracy is essential. We explore reduced precision optimisation for simulating chaotic systems, targeting atmospheric modelling in which even minor changes in arithmetic behaviour can have a significant impact on system behaviour. Hence, standard techniques for comparing numerical accuracy are inappropriate. We use the Hellinger distance to compare statistical behaviour between reduced-precision CPU implementations to guide FPGA designs of a chaotic system, and analyse accuracy, performance and power efficiency of the resulting implementations. Our results show that with only a limited loss in accuracy corresponding to less than 10% uncertainly in input parameters, a single Xilinx Virtex 6 SXT475 FPGA can be 13 times faster and 23 times more power efficient than a 6-core Intel Xeon X5650 processor.",
"fno": "9969a171",
"keywords": [
"Atmospheric Modeling",
"Computational Modeling",
"Hardware",
"Chaos",
"Numerical Models",
"Mathematical Model",
"Accuracy"
],
"authors": [
{
"affiliation": null,
"fullName": "Francis P. Russell",
"givenName": "Francis P.",
"surname": "Russell",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Peter D. Duben",
"givenName": "Peter D.",
"surname": "Duben",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Xinyu Niu",
"givenName": "Xinyu",
"surname": "Niu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Wayne Luk",
"givenName": "Wayne",
"surname": "Luk",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "T.N. Palmer",
"givenName": "T.N.",
"surname": "Palmer",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "fccm",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-05-01T00:00:00",
"pubType": "proceedings",
"pages": "171-178",
"year": "2015",
"issn": null,
"isbn": "978-1-4799-9969-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "9969a167",
"articleId": "12OmNAkEU5R",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "9969a179",
"articleId": "12OmNqyUUEm",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icmtma/2015/7143/0/7143a263",
"title": "Chaotic Dynamics of a Clamped Thin Circular Elastic Plate in Coupling Fields",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2015/7143a263/12OmNAPjA6b",
"parentPublication": {
"id": "proceedings/icmtma/2015/7143/0",
"title": "2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcmp-ugc/2010/986/0/06017989",
"title": "Atmospheric Turbulence Forecasts for Air Force and Missile Defense Applications",
"doi": null,
"abstractUrl": "/proceedings-article/hpcmp-ugc/2010/06017989/12OmNASrb02",
"parentPublication": {
"id": "proceedings/hpcmp-ugc/2010/986/0",
"title": "2010 DoD High Performance Computing Modernization Program Users Group Conference (HPCMP-UGC 2010)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdh/2016/4400/0/4400a114",
"title": "A New Multi-Scroll Chaotic System Generated from Switching Control",
"doi": null,
"abstractUrl": "/proceedings-article/icdh/2016/4400a114/12OmNC1Guf6",
"parentPublication": {
"id": "proceedings/icdh/2016/4400/0",
"title": "2016 6th International Conference on Digital Home (ICDH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wetice/2008/3315/0/3315a024",
"title": "Emergent Chaotic Behaviour in Agent Based Manufacturing Systems",
"doi": null,
"abstractUrl": "/proceedings-article/wetice/2008/3315a024/12OmNxTmHLn",
"parentPublication": {
"id": "proceedings/wetice/2008/3315/0",
"title": "2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/1988/9999/0/00197075",
"title": "The Wigner distribution, multi-equilibria nonlinear systems and chaotic behaviour",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/1988/00197075/12OmNy4IF7f",
"parentPublication": {
"id": "proceedings/icassp/1988/9999/0",
"title": "ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aict/2010/4021/0/4021a013",
"title": "How the Atmospheric Variables Affect to the WLAN Datalink Layer Parameters",
"doi": null,
"abstractUrl": "/proceedings-article/aict/2010/4021a013/12OmNz4Bdmd",
"parentPublication": {
"id": "proceedings/aict/2010/4021/0",
"title": "Advanced International Conference on Telecommunications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccs/2002/7510/2/01183259",
"title": "Performance analyses of the chaotic spread spectrum sequences with finite precision",
"doi": null,
"abstractUrl": "/proceedings-article/iccs/2002/01183259/12OmNzZEADB",
"parentPublication": {
"id": "proceedings/iccs/2002/7510/2",
"title": "ICCS 2002 - 8th IEEE International Conference on Communications Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cs/2002/05/c5064",
"title": "Testing and evaluating atmospheric climate models",
"doi": null,
"abstractUrl": "/magazine/cs/2002/05/c5064/13rRUxAATbA",
"parentPublication": {
"id": "mags/cs",
"title": "Computing in Science & Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cis/2018/0169/0/016900a481",
"title": "Study on Standardization of Detection Data of Atmospheric Microparticle Lidar Based on Metadata",
"doi": null,
"abstractUrl": "/proceedings-article/cis/2018/016900a481/17D45WgziN8",
"parentPublication": {
"id": "proceedings/cis/2018/0169/0",
"title": "2018 14th International Conference on Computational Intelligence and Security (CIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09233392",
"title": "IsoTrotter: Visually Guided Empirical Modelling of Atmospheric Convection",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09233392/1o53j4CHkoo",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzVXNJf",
"title": "2008 International Conference on Computational Intelligence for Modelling Control & Automation (CIMCA 2008)",
"acronym": "cimca",
"groupId": "1001978",
"volume": "0",
"displayVolume": "0",
"year": "2008",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNy5hRdK",
"doi": "10.1109/CIMCA.2008.46",
"title": "A Transition to Chaos in Rucklidge Model of Double Convection",
"normalizedTitle": "A Transition to Chaos in Rucklidge Model of Double Convection",
"abstract": "This paper considers a dissipative system of nonlinear ordinary differential equations proposed by A. M. Rucklidge to describe a process of double convection. Unlike the work of G. Chen, in which he made an attempt to classify, grounding on known L. P. Sil'nikov's theorems, the whole variety of chaotic systems including the Rucklidge system, we demonstrate a new view on the process of transition to chaos in all dissipative systems of ODE, which is based on a subharmonic, homoclinic and heteroclinic cascades of bifurcations. The Rucklidge system undergoes a full analysis of singular points on a whole set of parameters' values variation. Specifically, types of singular points, boarders of stability regions, as well as presented local bifurcations, are determined. By using numerical methods a consideration of scenarios of transition to chaos in the studied system with one bifurcation parameter variation is held.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper considers a dissipative system of nonlinear ordinary differential equations proposed by A. M. Rucklidge to describe a process of double convection. Unlike the work of G. Chen, in which he made an attempt to classify, grounding on known L. P. Sil'nikov's theorems, the whole variety of chaotic systems including the Rucklidge system, we demonstrate a new view on the process of transition to chaos in all dissipative systems of ODE, which is based on a subharmonic, homoclinic and heteroclinic cascades of bifurcations. The Rucklidge system undergoes a full analysis of singular points on a whole set of parameters' values variation. Specifically, types of singular points, boarders of stability regions, as well as presented local bifurcations, are determined. By using numerical methods a consideration of scenarios of transition to chaos in the studied system with one bifurcation parameter variation is held.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper considers a dissipative system of nonlinear ordinary differential equations proposed by A. M. Rucklidge to describe a process of double convection. Unlike the work of G. Chen, in which he made an attempt to classify, grounding on known L. P. Sil'nikov's theorems, the whole variety of chaotic systems including the Rucklidge system, we demonstrate a new view on the process of transition to chaos in all dissipative systems of ODE, which is based on a subharmonic, homoclinic and heteroclinic cascades of bifurcations. The Rucklidge system undergoes a full analysis of singular points on a whole set of parameters' values variation. Specifically, types of singular points, boarders of stability regions, as well as presented local bifurcations, are determined. By using numerical methods a consideration of scenarios of transition to chaos in the studied system with one bifurcation parameter variation is held.",
"fno": "3514a952",
"keywords": [
"Chaos",
"Silnikov",
"Rucklidge",
"Double Convection",
"Modelling"
],
"authors": [
{
"affiliation": null,
"fullName": "Andrey A. Trebler",
"givenName": "Andrey A.",
"surname": "Trebler",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "cimca",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2008-12-01T00:00:00",
"pubType": "proceedings",
"pages": "952-957",
"year": "2008",
"issn": null,
"isbn": "978-0-7695-3514-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3514a946",
"articleId": "12OmNvkplb5",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3514a958",
"articleId": "12OmNCykmbc",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iwcfta/2011/4560/0/4560a094",
"title": "Bifurcations and Chaos in a Discrete Investment Competition Game Model",
"doi": null,
"abstractUrl": "/proceedings-article/iwcfta/2011/4560a094/12OmNAoUT5j",
"parentPublication": {
"id": "proceedings/iwcfta/2011/4560/0",
"title": "Chaos-Fractals Theories and Applications, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/phycon/2003/7939/4/79391159",
"title": "Complexity and chaos in piecewise-smooth dynamical systems",
"doi": null,
"abstractUrl": "/proceedings-article/phycon/2003/79391159/12OmNCyTyrs",
"parentPublication": {
"id": "proceedings/phycon/2003/7939/4",
"title": "Physics and Control, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwcfta/2010/4247/0/4247a301",
"title": "Chaos and Bifurcations of the Fractional-order Unified System",
"doi": null,
"abstractUrl": "/proceedings-article/iwcfta/2010/4247a301/12OmNrIrPwk",
"parentPublication": {
"id": "proceedings/iwcfta/2010/4247/0",
"title": "Chaos-Fractals Theories and Applications, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicta/2011/289/1/05750556",
"title": "Non-singular Terminal Sliding Mode Synchronization Control for Unmatched Uncertainties of Chaos Systems",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2011/05750556/12OmNvAiSoY",
"parentPublication": {
"id": null,
"title": null,
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isda/2006/2528/1/252800925",
"title": "An Immune Evolutionary Algorithm Based on Chaos Mutation",
"doi": null,
"abstractUrl": "/proceedings-article/isda/2006/252800925/12OmNvUsoqF",
"parentPublication": {
"id": "proceedings/isda/2006/2528/3",
"title": "Intelligent Systems Design and Applications, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicta/2010/4077/3/4077f095",
"title": "Transformation of Chaos in Traffic Flow Based on Distance Headway",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2010/4077f095/12OmNxAlzZF",
"parentPublication": {
"id": "proceedings/icicta/2010/4077/3",
"title": "Intelligent Computation Technology and Automation, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iwcse/2009/3881/2/3881b130",
"title": "Study Chaos Double-Mutations Cooperation Particles Swarm Optimization and Application in Order-Type Vulcanization Workshop Scheduling",
"doi": null,
"abstractUrl": "/proceedings-article/iwcse/2009/3881b130/12OmNxecS8D",
"parentPublication": {
"id": "proceedings/iwcse/2009/3881/2",
"title": "Computer Science and Engineering, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2011/4296/1/4296a528",
"title": "Application of Chaos in Weak Signal Detection",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2011/4296a528/12OmNzC5SPm",
"parentPublication": {
"id": "proceedings/icmtma/2011/4296/1",
"title": "2011 Third International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csse/2008/3336/3/3336e885",
"title": "A Chaos Forecast Research on Capital Market Model",
"doi": null,
"abstractUrl": "/proceedings-article/csse/2008/3336e885/12OmNzmtWuH",
"parentPublication": {
"id": "proceedings/csse/2008/3336/3",
"title": "Computer Science and Software Engineering, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pcspa/2010/4180/0/4180b103",
"title": "The Application Research of Coupled Chaos Stream Cipher for Pervasive Computing",
"doi": null,
"abstractUrl": "/proceedings-article/pcspa/2010/4180b103/12OmNzxyiOW",
"parentPublication": {
"id": "proceedings/pcspa/2010/4180/0",
"title": "Pervasive Computing, Signal Porcessing and Applications, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNwDAC3W",
"title": "Computing, Control and Industrial Engineering, International Conference on",
"acronym": "ccie",
"groupId": "1800073",
"volume": "1",
"displayVolume": "1",
"year": "2010",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNzSQdsn",
"doi": "10.1109/CCIE.2010.65",
"title": "A High Accuracy Difference Scheme of the Convection Equation",
"normalizedTitle": "A High Accuracy Difference Scheme of the Convection Equation",
"abstract": "This paper gives a two-parameter display difference scheme of the convection equation without adding points, and discusses the stability and the calculation accuracy using Miller Theorem. This scheme is stable when the two parameters are non-negative. Then we give two special cases at the end of the article and finally spread this scheme to convection equation with variable coefficient.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper gives a two-parameter display difference scheme of the convection equation without adding points, and discusses the stability and the calculation accuracy using Miller Theorem. This scheme is stable when the two parameters are non-negative. Then we give two special cases at the end of the article and finally spread this scheme to convection equation with variable coefficient.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper gives a two-parameter display difference scheme of the convection equation without adding points, and discusses the stability and the calculation accuracy using Miller Theorem. This scheme is stable when the two parameters are non-negative. Then we give two special cases at the end of the article and finally spread this scheme to convection equation with variable coefficient.",
"fno": "4026a227",
"keywords": [
"Convection Equation",
"Difference Scheme",
"Truncation Error",
"Stability"
],
"authors": [
{
"affiliation": null,
"fullName": "Haiyan Wei",
"givenName": "Haiyan",
"surname": "Wei",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Zuogang Zhang",
"givenName": "Zuogang",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ccie",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2010-06-01T00:00:00",
"pubType": "proceedings",
"pages": "227-230",
"year": "2010",
"issn": null,
"isbn": "978-0-7695-4026-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4026a221",
"articleId": "12OmNy3Agpv",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4026a231",
"articleId": "12OmNylboKT",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/iscid/2010/4198/1/4198a230",
"title": "A High Accuracy Compact Difference on Non-uniform Grid for 2D Convection Diffusion Reaction Equation",
"doi": null,
"abstractUrl": "/proceedings-article/iscid/2010/4198a230/12OmNBU1jKa",
"parentPublication": {
"id": "proceedings/iscid/2010/4198/1",
"title": "Computational Intelligence and Design, International Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2012/4789/0/4789a714",
"title": "A High Order Compact Difference Scheme and Multigrid Method for Solving the 3D Convection Diffusion Equation on Non-uniform Grids",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2012/4789a714/12OmNCbU2S7",
"parentPublication": {
"id": "proceedings/iccis/2012/4789/0",
"title": "2012 Fourth International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ifita/2010/4115/1/4115a257",
"title": "An Explicit-Implicit Difference Scheme for the Third Order Term of KDV Equation",
"doi": null,
"abstractUrl": "/proceedings-article/ifita/2010/4115a257/12OmNrJAdTe",
"parentPublication": {
"id": null,
"title": null,
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icsgea/2017/2813/0/2813a167",
"title": "Experimental Study and Analysis on Heat Transfer Effect of Far Infrared Convection Combined Drying",
"doi": null,
"abstractUrl": "/proceedings-article/icsgea/2017/2813a167/12OmNroijjJ",
"parentPublication": {
"id": "proceedings/icsgea/2017/2813/0",
"title": "2017 International Conference on Smart Grid and Electrical Automation (ICSGEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cso/2009/3605/2/3605c641",
"title": "An Implicit Finite Difference Scheme with Preconditioning for Convection Dominated Diffusion Equation",
"doi": null,
"abstractUrl": "/proceedings-article/cso/2009/3605c641/12OmNwt5skm",
"parentPublication": {
"id": "proceedings/cso/2009/3605/2",
"title": "2009 International Joint Conference on Computational Sciences and Optimization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cseworkshops/2008/3257/0/3257a107",
"title": "A New Method for Solving Convection-Diffusion Equations",
"doi": null,
"abstractUrl": "/proceedings-article/cseworkshops/2008/3257a107/12OmNy4r3ZF",
"parentPublication": {
"id": "proceedings/cseworkshops/2008/3257/0",
"title": "2008 11th IEEE International Conference on Computational Science and Engineering - Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnc/2009/3736/6/3736f365",
"title": "Dynamics of a Difference Equation",
"doi": null,
"abstractUrl": "/proceedings-article/icnc/2009/3736f365/12OmNyQ7G9l",
"parentPublication": {
"id": "proceedings/icnc/2009/3736/6",
"title": "2009 Fifth International Conference on Natural Computation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccms/2010/3941/4/3941d375",
"title": "An Unconditionally Stable Spline Difference Scheme for Solving the Second 2D Linear Hyperbolic Equation",
"doi": null,
"abstractUrl": "/proceedings-article/iccms/2010/3941d375/12OmNyTOspJ",
"parentPublication": {
"id": "proceedings/iccms/2010/3941/4",
"title": "Computer Modeling and Simulation, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccis/2011/4501/0/4501b087",
"title": "A High-Order Compact ADI Scheme for the 3D Unsteady Convection-Diffusion Equation",
"doi": null,
"abstractUrl": "/proceedings-article/iccis/2011/4501b087/12OmNzcxZoc",
"parentPublication": {
"id": "proceedings/iccis/2011/4501/0",
"title": "2011 International Conference on Computational and Information Sciences",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icic/2010/4047/3/4047c006",
"title": "Retrieval of Initial Value and Estimation of Parameter for Nonlinear Convection-Diffusion Problem Based on Variational Adjoint Method: Theoretical Aspects",
"doi": null,
"abstractUrl": "/proceedings-article/icic/2010/4047c006/12OmNzlD9kx",
"parentPublication": {
"id": "proceedings/icic/2010/4047/3",
"title": "2010 Third International Conference on Information and Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKipS",
"title": "2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"acronym": "hpcc-smartcity-dss",
"groupId": "1002461",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45WK5Ap6",
"doi": "10.1109/HPCC-SmartCity-DSS.2017.42",
"title": "Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems",
"normalizedTitle": "Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems",
"abstract": "Deep and shallow convection calculations occupy significant times in atmosphere models. These calculations also present significant load imbalances due to varying cloud covers over different regions of the grid. In this work, we accelerate these calculations on Intel® Xeon Phi™ Coprocessor Systems. By employing dynamic scheduling in OpenMP, we demonstrate large reductions in load imbalance and about 10% increase in speedups. By careful categorization of data as private, firstprivate and shared, we minimize data copying overheads for the coprocessors. We identify regions of false sharing among threads and eliminate them by loop rearrangements. We also employ proportional partitioning of independent column computations across both the CPU and coprocessor cores based on the performance ratio of the computations on the heterogeneous resources. These techniques along with various vectorization strategies resulted in about 30% improvement in convection calculations.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deep and shallow convection calculations occupy significant times in atmosphere models. These calculations also present significant load imbalances due to varying cloud covers over different regions of the grid. In this work, we accelerate these calculations on Intel® Xeon Phi™ Coprocessor Systems. By employing dynamic scheduling in OpenMP, we demonstrate large reductions in load imbalance and about 10% increase in speedups. By careful categorization of data as private, firstprivate and shared, we minimize data copying overheads for the coprocessors. We identify regions of false sharing among threads and eliminate them by loop rearrangements. We also employ proportional partitioning of independent column computations across both the CPU and coprocessor cores based on the performance ratio of the computations on the heterogeneous resources. These techniques along with various vectorization strategies resulted in about 30% improvement in convection calculations.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deep and shallow convection calculations occupy significant times in atmosphere models. These calculations also present significant load imbalances due to varying cloud covers over different regions of the grid. In this work, we accelerate these calculations on Intel® Xeon Phi™ Coprocessor Systems. By employing dynamic scheduling in OpenMP, we demonstrate large reductions in load imbalance and about 10% increase in speedups. By careful categorization of data as private, firstprivate and shared, we minimize data copying overheads for the coprocessors. We identify regions of false sharing among threads and eliminate them by loop rearrangements. We also employ proportional partitioning of independent column computations across both the CPU and coprocessor cores based on the performance ratio of the computations on the heterogeneous resources. These techniques along with various vectorization strategies resulted in about 30% improvement in convection calculations.",
"fno": "08291945",
"keywords": [
"Cache Storage",
"Cloud Computing",
"Convection",
"Coprocessors",
"Grid Computing",
"Memory Architecture",
"Message Passing",
"Multiprocessing Systems",
"Multi Threading",
"Public Domain Software",
"Resource Allocation",
"Scheduling",
"Shared Memory Systems",
"Storage Allocation",
"Coprocessors",
"Coprocessor Cores",
"Atmosphere Models",
"Intel Xeon Phi™ Coprocessor Systems",
"Shallow Convection Calculations",
"Load Imbalance",
"Data Copying Overheads",
"Open MP",
"Dynamic Scheduling",
"Shallow Convections",
"Deep Convections",
"Load Imbalances",
"Convection",
"Atmospheric Modeling",
"Clouds",
"Meteorology",
"Computational Modeling",
"Mathematical Model",
"Intel Xeon Phi Co Processors Offloading CAM Convections"
],
"authors": [
{
"affiliation": null,
"fullName": "Srinivasan Ramesh",
"givenName": "Srinivasan",
"surname": "Ramesh",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Sathish Vadhiyar",
"givenName": "Sathish",
"surname": "Vadhiyar",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Ravi Nanjundiah",
"givenName": "Ravi",
"surname": "Nanjundiah",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "PN Vinayachandran",
"givenName": "PN",
"surname": "Vinayachandran",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "hpcc-smartcity-dss",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-12-01T00:00:00",
"pubType": "proceedings",
"pages": "316-323",
"year": "2017",
"issn": null,
"isbn": "978-1-5386-2588-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08291944",
"articleId": "17D45VW8br9",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "2588a316",
"articleId": "18rMtUcFJHG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/sc/2013/9999/0/06877467",
"title": "Tera-scale 1D FFT with low-communication algorithm and Intel® Xeon Phi™ coprocessors",
"doi": null,
"abstractUrl": "/proceedings-article/sc/2013/06877467/12OmNBLdKDa",
"parentPublication": {
"id": "proceedings/sc/2013/9999/0",
"title": "2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/2014/5500/0/5500a674",
"title": "Efficient Implementation of Many-Body Quantum Chemical Methods on the Intel® Xeon Phi Coprocessor",
"doi": null,
"abstractUrl": "/proceedings-article/sc/2014/5500a674/12OmNrkBwqg",
"parentPublication": {
"id": "proceedings/sc/2014/5500/0",
"title": "SC14: International Conference for High Performance Computing, Networking, Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hipc/2016/5411/0/07839685",
"title": "High Performance Horizontal Diffusion Calculations in Ocean Models on Intel® Xeon Phi™ Coprocessor Systems",
"doi": null,
"abstractUrl": "/proceedings-article/hipc/2016/07839685/12OmNvlg8qx",
"parentPublication": {
"id": "proceedings/hipc/2016/5411/0",
"title": "2016 IEEE 23rd International Conference on High-Performance Computing (HiPC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hcs/2012/8879/0/07476487",
"title": "Intel® Xeon Phi coprocessor (codename Knights Corner)",
"doi": null,
"abstractUrl": "/proceedings-article/hcs/2012/07476487/12OmNwDSdux",
"parentPublication": {
"id": "proceedings/hcs/2012/8879/0",
"title": "2012 IEEE Hot Chips 24 Symposium (HCS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdpsw/2013/4979/0/4979b213",
"title": "Offload Compiler Runtime for the Intel® Xeon Phi Coprocessor",
"doi": null,
"abstractUrl": "/proceedings-article/ipdpsw/2013/4979b213/12OmNyk2ZZ2",
"parentPublication": {
"id": "proceedings/ipdpsw/2013/4979/0",
"title": "2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdpsw/2013/4979/0/4979b149",
"title": "Practical SIMD Vectorization Techniques for Intel® Xeon Phi Coprocessors",
"doi": null,
"abstractUrl": "/proceedings-article/ipdpsw/2013/4979b149/12OmNyz5JYz",
"parentPublication": {
"id": "proceedings/ipdpsw/2013/4979/0",
"title": "2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/2015/3723/0/2807631",
"title": "Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors",
"doi": null,
"abstractUrl": "/proceedings-article/sc/2015/2807631/12OmNzcxZ6z",
"parentPublication": {
"id": "proceedings/sc/2015/3723/0",
"title": "SC15: International Conference for High-Performance Computing, Networking, Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2015/05/07065307",
"title": "Parallel Mutual Information Based Construction of Genome-Scale Networks on the Intel®Xeon Phi™ Coprocessor",
"doi": null,
"abstractUrl": "/journal/tb/2015/05/07065307/13rRUwgyOhz",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-smartcity-dss/2017/2588/0/2588a316",
"title": "Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-smartcity-dss/2017/2588a316/18rMtUcFJHG",
"parentPublication": {
"id": "proceedings/hpcc-smartcity-dss/2017/2588/0",
"title": "2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09233392",
"title": "IsoTrotter: Visually Guided Empirical Modelling of Atmospheric Convection",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09233392/1o53j4CHkoo",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKipS",
"title": "2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"acronym": "hpcc-smartcity-dss",
"groupId": "1002461",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "18rMtUcFJHG",
"doi": "10.1109/HPCC-SmartCity-DSS.2017.42",
"title": "Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems",
"normalizedTitle": "Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems",
"abstract": "Deep and shallow convection calculations occupy significant times in atmosphere models. These calculations also present significant load imbalances due to varying cloud covers over different regions of the grid. In this work, we accelerate these calculations on Intel® Xeon Phi™ Coprocessor Systems. By employing dynamic scheduling in OpenMP, we demonstrate large reductions in load imbalance and about 10% increase in speedups. By careful categorization of data as private, firstprivate and shared, we minimize data copying overheads for the coprocessors. We identify regions of false sharing among threads and eliminate them by loop rearrangements. We also employ proportional partitioning of independent column computations across both the CPU and coprocessor cores based on the performance ratio of the computations on the heterogeneous resources. These techniques along with various vectorization strategies resulted in about 30% improvement in convection calculations.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deep and shallow convection calculations occupy significant times in atmosphere models. These calculations also present significant load imbalances due to varying cloud covers over different regions of the grid. In this work, we accelerate these calculations on Intel® Xeon Phi™ Coprocessor Systems. By employing dynamic scheduling in OpenMP, we demonstrate large reductions in load imbalance and about 10% increase in speedups. By careful categorization of data as private, firstprivate and shared, we minimize data copying overheads for the coprocessors. We identify regions of false sharing among threads and eliminate them by loop rearrangements. We also employ proportional partitioning of independent column computations across both the CPU and coprocessor cores based on the performance ratio of the computations on the heterogeneous resources. These techniques along with various vectorization strategies resulted in about 30% improvement in convection calculations.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deep and shallow convection calculations occupy significant times in atmosphere models. These calculations also present significant load imbalances due to varying cloud covers over different regions of the grid. In this work, we accelerate these calculations on Intel® Xeon Phi™ Coprocessor Systems. By employing dynamic scheduling in OpenMP, we demonstrate large reductions in load imbalance and about 10% increase in speedups. By careful categorization of data as private, firstprivate and shared, we minimize data copying overheads for the coprocessors. We identify regions of false sharing among threads and eliminate them by loop rearrangements. We also employ proportional partitioning of independent column computations across both the CPU and coprocessor cores based on the performance ratio of the computations on the heterogeneous resources. These techniques along with various vectorization strategies resulted in about 30% improvement in convection calculations.",
"fno": "2588a316",
"keywords": [
"Cache Storage",
"Cloud Computing",
"Convection",
"Coprocessors",
"Grid Computing",
"Memory Architecture",
"Message Passing",
"Multiprocessing Systems",
"Multi Threading",
"Public Domain Software",
"Resource Allocation",
"Scheduling",
"Shared Memory Systems",
"Storage Allocation",
"Coprocessors",
"Coprocessor Cores",
"Atmosphere Models",
"Intel X 00 AE Xeon Phi X 2122 Coprocessor Systems",
"Shallow Convection Calculations",
"Load Imbalance",
"Data Copying Overheads",
"Open MP",
"Dynamic Scheduling",
"Shallow Convections",
"Deep Convections",
"Load Imbalances",
"Convection",
"Atmospheric Modeling",
"Clouds",
"Meteorology",
"Computational Modeling",
"Mathematical Model",
"Intel Xeon Phi Co Processors Offloading CAM Convections"
],
"authors": [
{
"affiliation": null,
"fullName": "Srinivasan Ramesh",
"givenName": "Srinivasan",
"surname": "Ramesh",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Sathish Vadhiyar",
"givenName": "Sathish",
"surname": "Vadhiyar",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Ravi Nanjundiah",
"givenName": "Ravi",
"surname": "Nanjundiah",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "PN Vinayachandran",
"givenName": "PN",
"surname": "Vinayachandran",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "hpcc-smartcity-dss",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-12-01T00:00:00",
"pubType": "proceedings",
"pages": "316-323",
"year": "2017",
"issn": null,
"isbn": "978-1-5386-2588-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08291945",
"articleId": "17D45WK5Ap6",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08291946",
"articleId": "17D45VTRoEO",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cit-iucc-dasc-picom/2015/0154/0/07363241",
"title": "A Map-Reduce Method for Training Autoencoders on Xeon Phi",
"doi": null,
"abstractUrl": "/proceedings-article/cit-iucc-dasc-picom/2015/07363241/12OmNBO3K99",
"parentPublication": {
"id": "proceedings/cit-iucc-dasc-picom/2015/0154/0",
"title": "2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-css-icess/2015/8937/0/07336403",
"title": "Implementation of Short Read Alignment Algorithm in OpenCL on Xeon Phi Coprocessor",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-css-icess/2015/07336403/12OmNCmpcWh",
"parentPublication": {
"id": "proceedings/hpcc-css-icess/2015/8937/0",
"title": "2015 IEEE 17th International Conference on High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS) and 2015 IEEE 12th International Conf on Embedded Software and Systems (ICESS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdps/2017/3914/0/07967147",
"title": "PhiOpenSSL: Using the Xeon Phi Coprocessor for Efficient Cryptographic Calculations",
"doi": null,
"abstractUrl": "/proceedings-article/ipdps/2017/07967147/12OmNqBbHwO",
"parentPublication": {
"id": "proceedings/ipdps/2017/3914/0",
"title": "2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdps/2014/3799/0/06877337",
"title": "Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters",
"doi": null,
"abstractUrl": "/proceedings-article/ipdps/2014/06877337/12OmNqyDjoS",
"parentPublication": {
"id": "proceedings/ipdps/2014/3799/0",
"title": "2014 IEEE International Parallel & Distributed Processing Symposium (IPDPS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/2014/5500/0/5500a674",
"title": "Efficient Implementation of Many-Body Quantum Chemical Methods on the Intel® Xeon Phi Coprocessor",
"doi": null,
"abstractUrl": "/proceedings-article/sc/2014/5500a674/12OmNrkBwqg",
"parentPublication": {
"id": "proceedings/sc/2014/5500/0",
"title": "SC14: International Conference for High Performance Computing, Networking, Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2013/1293/0/06691563",
"title": "Optimizing the MapReduce framework on Intel Xeon Phi coprocessor",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2013/06691563/12OmNviZlv8",
"parentPublication": {
"id": "proceedings/big-data/2013/1293/0",
"title": "2013 IEEE International Conference on Big Data",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/nas/2014/4087/0/4087a113",
"title": "Efficient GCD Computation for Big Integers on Xeon Phi Coprocessor",
"doi": null,
"abstractUrl": "/proceedings-article/nas/2014/4087a113/12OmNy1SFL0",
"parentPublication": {
"id": "proceedings/nas/2014/4087/0",
"title": "2014 9th IEEE International Conference on Networking, Architecture, and Storage (NAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2018/9156/0/915600a270",
"title": "Resolving clouds in a global atmosphere model - A multiscale approach with nested models",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2018/915600a270/17D45VsBU12",
"parentPublication": {
"id": "proceedings/e-science/2018/9156/0",
"title": "2018 IEEE 14th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-smartcity-dss/2017/2588/0/08291945",
"title": "Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-smartcity-dss/2017/08291945/17D45WK5Ap6",
"parentPublication": {
"id": "proceedings/hpcc-smartcity-dss/2017/2588/0",
"title": "2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09233392",
"title": "IsoTrotter: Visually Guided Empirical Modelling of Atmospheric Convection",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09233392/1o53j4CHkoo",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNyFCvPg",
"title": "SC Conference",
"acronym": "sc",
"groupId": "1000729",
"volume": "0",
"displayVolume": "0",
"year": "1995",
"__typename": "ProceedingType"
},
"article": {
"id": "1D87U25o7te",
"doi": "10.1145/224170.224504",
"title": "Performance of a Parallel Global Atmospheric Chemical Tracer Model",
"normalizedTitle": "Performance of a Parallel Global Atmospheric Chemical Tracer Model",
"abstract": "As partof a NASA HPCC Grand Challenge project, we are designing and implementing a parallel atmospheric chemical tracer model that will be suitable for use in global simulations. To accomplish this goal, our starting point has been an atmospheric pollution model that was originally used to study pollution in the Los Angeles Basin. The model includes gas-phase and aqueous-phase chemistry, radiation, aerosol physics, advection, convection, deposition, visibility and emissions. The potential bottlenecks in the model for parallel implementation are the compute-intensiveODE solving phase with load balancing problems,and the communication-intensive-advection phase. We describe the implementation and performance results on a variety of platforms,with emphasis on a detailed performance model we developed to predict performance, identify bottlenecks, guide our implementation, assess scalability, and evaluate architectures. An atmospheric chemical tracer model such as the one we describe in this paper will be one component of a larger Earth Systems Model (ESM), being developed under the direction of C. R. Mechoso of UCLA, incorporating atmospheric dynamics, atmospheric physics, ocean dynamics, and a database and visualization system.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As partof a NASA HPCC Grand Challenge project, we are designing and implementing a parallel atmospheric chemical tracer model that will be suitable for use in global simulations. To accomplish this goal, our starting point has been an atmospheric pollution model that was originally used to study pollution in the Los Angeles Basin. The model includes gas-phase and aqueous-phase chemistry, radiation, aerosol physics, advection, convection, deposition, visibility and emissions. The potential bottlenecks in the model for parallel implementation are the compute-intensiveODE solving phase with load balancing problems,and the communication-intensive-advection phase. We describe the implementation and performance results on a variety of platforms,with emphasis on a detailed performance model we developed to predict performance, identify bottlenecks, guide our implementation, assess scalability, and evaluate architectures. An atmospheric chemical tracer model such as the one we describe in this paper will be one component of a larger Earth Systems Model (ESM), being developed under the direction of C. R. Mechoso of UCLA, incorporating atmospheric dynamics, atmospheric physics, ocean dynamics, and a database and visualization system.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "As partof a NASA HPCC Grand Challenge project, we are designing and implementing a parallel atmospheric chemical tracer model that will be suitable for use in global simulations. To accomplish this goal, our starting point has been an atmospheric pollution model that was originally used to study pollution in the Los Angeles Basin. The model includes gas-phase and aqueous-phase chemistry, radiation, aerosol physics, advection, convection, deposition, visibility and emissions. The potential bottlenecks in the model for parallel implementation are the compute-intensiveODE solving phase with load balancing problems,and the communication-intensive-advection phase. We describe the implementation and performance results on a variety of platforms,with emphasis on a detailed performance model we developed to predict performance, identify bottlenecks, guide our implementation, assess scalability, and evaluate architectures. An atmospheric chemical tracer model such as the one we describe in this paper will be one component of a larger Earth Systems Model (ESM), being developed under the direction of C. R. Mechoso of UCLA, incorporating atmospheric dynamics, atmospheric physics, ocean dynamics, and a database and visualization system.",
"fno": "01383217",
"keywords": [
"Chemicals",
"Atmospheric Modeling",
"Pollution",
"Physics",
"Aerodynamics",
"NASA",
"Chemistry",
"Aerosols",
"Concurrent Computing",
"Load Management"
],
"authors": [
{
"affiliation": "University of California at Berkeley",
"fullName": "J. Demmel",
"givenName": "J.",
"surname": "Demmel",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "S. Smith",
"givenName": "S.",
"surname": "Smith",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "sc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": false,
"pubDate": "1995-01-01T00:00:00",
"pubType": "proceedings",
"pages": "80-80",
"year": "1995",
"issn": null,
"isbn": "0-89791-816-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "25680056",
"articleId": "12OmNxu6pcl",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "25680057",
"articleId": "12OmNqJHFE1",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/shpcc/1992/2775/0/00232674",
"title": "A parallel implementation of the chemically reacting CFD code, SPARK",
"doi": null,
"abstractUrl": "/proceedings-article/shpcc/1992/00232674/12OmNAlvHU3",
"parentPublication": {
"id": "proceedings/shpcc/1992/2775/0",
"title": "1992 Proceedings Scalable High Performance Computing Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/superc/1995/816/0/01383217",
"title": "Performance of a Parallel Global Atmospheric Chemical Tracer Model",
"doi": null,
"abstractUrl": "/proceedings-article/superc/1995/01383217/12OmNCctfe2",
"parentPublication": {
"id": "proceedings/superc/1995/816/0",
"title": "IEEE/ACM SC95 Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/1989/341/0/05349034",
"title": "Parallel MIMD programming for global models of atmospheric flow",
"doi": null,
"abstractUrl": "/proceedings-article/sc/1989/05349034/12OmNwDSdI5",
"parentPublication": {
"id": "proceedings/sc/1989/341/0",
"title": "Proceedings of the 1989 ACM/IEEE Conference on Supercomputing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/1995/2568/0/25680080",
"title": "Performance of a Parallel Global Atmospheric Chemical Tracer Model",
"doi": null,
"abstractUrl": "/proceedings-article/sc/1995/25680080/12OmNwNwzDM",
"parentPublication": {
"id": "proceedings/sc/1995/2568/0",
"title": "SC Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/shpcc/1994/5680/0/00296712",
"title": "Parallelizing a global atmospheric chemical tracer model",
"doi": null,
"abstractUrl": "/proceedings-article/shpcc/1994/00296712/12OmNxxNbOz",
"parentPublication": {
"id": "proceedings/shpcc/1994/5680/0",
"title": "Proceedings of IEEE Scalable High Performance Computing Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpads/2014/7615/0/07097840",
"title": "Physically based parallel ray tracer for the Metropolis light transport algorithm on the Tianhe-2 supercomputer",
"doi": null,
"abstractUrl": "/proceedings-article/icpads/2014/07097840/12OmNzmclKk",
"parentPublication": {
"id": "proceedings/icpads/2014/7615/0",
"title": "2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2018/9156/0/915600a268",
"title": "A Hybrid-Resolution Earth System Model",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2018/915600a268/17D45WXIkCT",
"parentPublication": {
"id": "proceedings/e-science/2018/9156/0",
"title": "2018 IEEE 14th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/td/2019/11/08723098",
"title": "Accelerating Atmospheric Chemical Kinetics for Climate Simulations",
"doi": null,
"abstractUrl": "/journal/td/2019/11/08723098/1dZjA0savzq",
"parentPublication": {
"id": "trans/td",
"title": "IEEE Transactions on Parallel & Distributed Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412736",
"title": "Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412736/1tmhqSTuqo8",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cluster/2021/9666/0/966600a767",
"title": "Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs",
"doi": null,
"abstractUrl": "/proceedings-article/cluster/2021/966600a767/1xFuYwOjTeU",
"parentPublication": {
"id": "proceedings/cluster/2021/9666/0",
"title": "2021 IEEE International Conference on Cluster Computing (CLUSTER)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1yQB741Nims",
"title": "2021 International Conference on Wireless Communications and Smart Grid (ICWCSG)",
"acronym": "icwcsg",
"groupId": "1837684",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1yQBafiruWk",
"doi": "10.1109/ICWCSG53609.2021.00046",
"title": "Variation Analysis of Atmospheric Density at 600km",
"normalizedTitle": "Variation Analysis of Atmospheric Density at 600km",
"abstract": "Taking a LEO satellite on orbit for nearly 16 years as an example, based on the discussion of the long-term drift of satellite orbit elements, we focused on the change of satellite orbit height, and established the correlation model of atmospheric density and orbital attenuation rate according to the influence of space environment on the atmospheric damping of LEO satellite orbit. The correlation coefficient between F10.7 parameters and atmospheric density is analyzed by the model. Finally, the data are tested by real orbit data. Validated with orbit data, the results have shown that at the height of 600km, semi major axis decrease is obviously modulated by solar activities with degradation rate of -0.12m•d-1 in high solar activity and - 11.08m•d-1 in low solar activity and -2.29m•d-1 in average. Covering three orders of magnitude, atmospheric density is ranging from 1.32×10-15 kg•m-3 to 3.32×10-13 kg•m-3 with an average of 6.85×10-14kg•m-3. F10.7 parameter is strongly related to atmospheric density with a correlation coefficient that is less than -0.85.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Taking a LEO satellite on orbit for nearly 16 years as an example, based on the discussion of the long-term drift of satellite orbit elements, we focused on the change of satellite orbit height, and established the correlation model of atmospheric density and orbital attenuation rate according to the influence of space environment on the atmospheric damping of LEO satellite orbit. The correlation coefficient between F10.7 parameters and atmospheric density is analyzed by the model. Finally, the data are tested by real orbit data. Validated with orbit data, the results have shown that at the height of 600km, semi major axis decrease is obviously modulated by solar activities with degradation rate of -0.12m•d-1 in high solar activity and - 11.08m•d-1 in low solar activity and -2.29m•d-1 in average. Covering three orders of magnitude, atmospheric density is ranging from 1.32×10-15 kg•m-3 to 3.32×10-13 kg•m-3 with an average of 6.85×10-14kg•m-3. F10.7 parameter is strongly related to atmospheric density with a correlation coefficient that is less than -0.85.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Taking a LEO satellite on orbit for nearly 16 years as an example, based on the discussion of the long-term drift of satellite orbit elements, we focused on the change of satellite orbit height, and established the correlation model of atmospheric density and orbital attenuation rate according to the influence of space environment on the atmospheric damping of LEO satellite orbit. The correlation coefficient between F10.7 parameters and atmospheric density is analyzed by the model. Finally, the data are tested by real orbit data. Validated with orbit data, the results have shown that at the height of 600km, semi major axis decrease is obviously modulated by solar activities with degradation rate of -0.12m•d-1 in high solar activity and - 11.08m•d-1 in low solar activity and -2.29m•d-1 in average. Covering three orders of magnitude, atmospheric density is ranging from 1.32×10-15 kg•m-3 to 3.32×10-13 kg•m-3 with an average of 6.85×10-14kg•m-3. F10.7 parameter is strongly related to atmospheric density with a correlation coefficient that is less than -0.85.",
"fno": "259800a204",
"keywords": [
"Artificial Satellites",
"Celestial Mechanics",
"Electromagnetic Wave Attenuation",
"Global Positioning System",
"Solar Activity",
"Atmospheric Density",
"Satellite Orbit Elements",
"Satellite Orbit Height",
"Orbital Attenuation Rate",
"Atmospheric Damping",
"LEO Satellite Orbit",
"Correlation Coefficient",
"Orbit Data",
"Mass 15 0 Kg",
"Mass 13 0 Kg",
"Mass 14 0 Kg",
"Size 0 12 M",
"Size 11 08 M",
"Time 16 0 Year",
"Size 600 0 Km",
"Size 2 29 M",
"Damping",
"Correlation Coefficient",
"Space Vehicles",
"Wireless Communication",
"Satellites",
"Correlation",
"Atmospheric Modeling",
"Space Environment",
"LEO Satellite",
"Atmospheric Density",
"Atmospheric Drag"
],
"authors": [
{
"affiliation": "Key Laboratory of Spacecraft In-Orbit Fault Diagnosis and Maintenance,Xi’an,China,710043",
"fullName": "Qiang Li",
"givenName": "Qiang",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Spacecraft In-Orbit Fault Diagnosis and Maintenance,Xi’an,China,710043",
"fullName": "Jingwen Xu",
"givenName": "Jingwen",
"surname": "Xu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Spacecraft In-Orbit Fault Diagnosis and Maintenance,Xi’an,China,710043",
"fullName": "Weiping Li",
"givenName": "Weiping",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Spacecraft In-Orbit Fault Diagnosis and Maintenance,Xi’an,China,710043",
"fullName": "Yu Gao",
"givenName": "Yu",
"surname": "Gao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Spacecraft In-Orbit Fault Diagnosis and Maintenance,Xi’an,China,710043",
"fullName": "Chao Wang",
"givenName": "Chao",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Spacecraft In-Orbit Fault Diagnosis and Maintenance,Xi’an,China,710043",
"fullName": "Xiaohong Guo",
"givenName": "Xiaohong",
"surname": "Guo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Satellite Control Center,Xi’an,China,710043",
"fullName": "Chen Zhao",
"givenName": "Chen",
"surname": "Zhao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Spacecraft In-Orbit Fault Diagnosis and Maintenance,Xi’an,China,710043",
"fullName": "Zhi Li",
"givenName": "Zhi",
"surname": "Li",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icwcsg",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-08-01T00:00:00",
"pubType": "proceedings",
"pages": "204-208",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-2598-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "259800a197",
"articleId": "1yQBnm95fIQ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "259800a209",
"articleId": "1yQBmDYbJEk",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/mvhi/2010/4009/0/4009a068",
"title": "Urban Atmospheric Environmental Quality Evaluation Based on Grey Correlation Analysis: A Case Study on Municipalities Directly under the Central Government and Provincial Capitals",
"doi": null,
"abstractUrl": "/proceedings-article/mvhi/2010/4009a068/12OmNA0vnXY",
"parentPublication": {
"id": "proceedings/mvhi/2010/4009/0",
"title": "Machine Vision and Human-machine Interface, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisis/2010/3967/0/3967a451",
"title": "Grid Computing Environment to Characterize Atmospheric Profiles",
"doi": null,
"abstractUrl": "/proceedings-article/cisis/2010/3967a451/12OmNqOwQCf",
"parentPublication": {
"id": "proceedings/cisis/2010/3967/0",
"title": "2010 International Conference on Complex, Intelligent and Software Intensive Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pcspa/2010/4180/0/4180b236",
"title": "An Improved Atmospheric Turbulence Simulation Method",
"doi": null,
"abstractUrl": "/proceedings-article/pcspa/2010/4180b236/12OmNrNh0zM",
"parentPublication": {
"id": "proceedings/pcspa/2010/4180/0",
"title": "Pervasive Computing, Signal Porcessing and Applications, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2017/5738/0/08031584",
"title": "Exploring the evolution of pressure-perturbations to understand atmospheric phenomena",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2017/08031584/12OmNy6HQVS",
"parentPublication": {
"id": "proceedings/pacificvis/2017/5738/0",
"title": "2017 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icoac/2012/5583/0/06416849",
"title": "Atmospheric correction of remotely sensed multispectral satellite images in transform domain",
"doi": null,
"abstractUrl": "/proceedings-article/icoac/2012/06416849/12OmNzUgd14",
"parentPublication": {
"id": "proceedings/icoac/2012/5583/0",
"title": "2012 Fourth International Conference on Advanced Computing (ICoAC 2012)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity-dependsys/2021/9457/0/945700a769",
"title": "A Novel Joint Prediction Model of Atmospheric Attenuation for Co-Frequency Interference Analysis Between LEO Constellations",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity-dependsys/2021/945700a769/1DNCE1eNtyo",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity-dependsys/2021/9457/0",
"title": "2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wowmom/2022/0876/0/087600a457",
"title": "Joint Terahertz Communication and Atmospheric Sensing in Low Earth Orbit Satellite Networks: Physical Layer Design",
"doi": null,
"abstractUrl": "/proceedings-article/wowmom/2022/087600a457/1FHqaxQxdlu",
"parentPublication": {
"id": "proceedings/wowmom/2022/0876/0",
"title": "2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bdcat/2022/6090/0/609000a128",
"title": "Atmospheric Gravity Wave Detection Using Transfer Learning Techniques",
"doi": null,
"abstractUrl": "/proceedings-article/bdcat/2022/609000a128/1Lu4bLF9pyU",
"parentPublication": {
"id": "proceedings/bdcat/2022/6090/0",
"title": "2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csci/2020/7624/0/762400a521",
"title": "Satellite Image Atmospheric Air Pollution Prediction through Meteorological Graph Convolutional Network with Deep Convolutional LSTM",
"doi": null,
"abstractUrl": "/proceedings-article/csci/2020/762400a521/1uGYGTXllsY",
"parentPublication": {
"id": "proceedings/csci/2020/7624/0",
"title": "2020 International Conference on Computational Science and Computational Intelligence (CSCI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmeas/2021/9768/0/976800a199",
"title": "Analysis of Atmospheric Drag Acceleration and Engineering Realization of Space Target",
"doi": null,
"abstractUrl": "/proceedings-article/icmeas/2021/976800a199/1zuuTPxToEU",
"parentPublication": {
"id": "proceedings/icmeas/2021/9768/0",
"title": "2021 7th International Conference on Mechanical Engineering and Automation Science (ICMEAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzayN6k",
"title": "Simpósio em Sistemas Computacionais",
"acronym": "wscad-ssc",
"groupId": "1800609",
"volume": "0",
"displayVolume": "0",
"year": "2012",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNqBKU3s",
"doi": "10.1109/WSCAD-SSC.2012.13",
"title": "Exploring Multi-level Parallelism in Atmospheric Applications",
"normalizedTitle": "Exploring Multi-level Parallelism in Atmospheric Applications",
"abstract": "Forecast precisions of climatological models are limited by computing power and time available for the executions. The more and faster processors are used in the computation, the resolution of the mesh adopted to represent the Earth's atmosphere can be increased, and consequently the numerical forecasts are more accurate. With the introduction of multi-core processors and GPU boards, computer architectures have many parallel layers. Today, there are parallelism inside a processor, among processors and among computers. In order to best utilize the performance of the computers it is necessary to consider all parallel levels to distribute a concurrent application. However, no parallel programming interface abstracts well these different parallel levels. Based in this context, this work proposes the use of mixed programming interfaces to improve performance to atmospheric models. The parallel execution of simulations shows that the use of GPUs and multi-core CPUs in distributed systems can reduce considerably the execution time of climatological applications.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Forecast precisions of climatological models are limited by computing power and time available for the executions. The more and faster processors are used in the computation, the resolution of the mesh adopted to represent the Earth's atmosphere can be increased, and consequently the numerical forecasts are more accurate. With the introduction of multi-core processors and GPU boards, computer architectures have many parallel layers. Today, there are parallelism inside a processor, among processors and among computers. In order to best utilize the performance of the computers it is necessary to consider all parallel levels to distribute a concurrent application. However, no parallel programming interface abstracts well these different parallel levels. Based in this context, this work proposes the use of mixed programming interfaces to improve performance to atmospheric models. The parallel execution of simulations shows that the use of GPUs and multi-core CPUs in distributed systems can reduce considerably the execution time of climatological applications.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Forecast precisions of climatological models are limited by computing power and time available for the executions. The more and faster processors are used in the computation, the resolution of the mesh adopted to represent the Earth's atmosphere can be increased, and consequently the numerical forecasts are more accurate. With the introduction of multi-core processors and GPU boards, computer architectures have many parallel layers. Today, there are parallelism inside a processor, among processors and among computers. In order to best utilize the performance of the computers it is necessary to consider all parallel levels to distribute a concurrent application. However, no parallel programming interface abstracts well these different parallel levels. Based in this context, this work proposes the use of mixed programming interfaces to improve performance to atmospheric models. The parallel execution of simulations shows that the use of GPUs and multi-core CPUs in distributed systems can reduce considerably the execution time of climatological applications.",
"fno": "4847a041",
"keywords": [
"High Performance Applications",
"Multi Level Parallelism",
"Atmospheric Models",
"Ocean Land Atmosphere Model",
"Graphics Processing Units"
],
"authors": [
{
"affiliation": null,
"fullName": "Claudio Schepke",
"givenName": "Claudio",
"surname": "Schepke",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Nicolas Maillard",
"givenName": "Nicolas",
"surname": "Maillard",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "wscad-ssc",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2012-10-01T00:00:00",
"pubType": "proceedings",
"pages": "41-48",
"year": "2012",
"issn": null,
"isbn": "978-1-4673-4468-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "4847a033",
"articleId": "12OmNxvwoMc",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "4847a049",
"articleId": "12OmNBTs7Ap",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icpp/2008/3374/0/3374a206",
"title": "Ocean-Atmosphere Modelization over the Grid",
"doi": null,
"abstractUrl": "/proceedings-article/icpp/2008/3374a206/12OmNAKcNMA",
"parentPublication": {
"id": "proceedings/icpp/2008/3374/0",
"title": "2008 37th International Conference on Parallel Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/qsic/2007/3035/0/30350304",
"title": "Reduction of Complexity and Automation of Parallel Execution through Loop Level Parallelism",
"doi": null,
"abstractUrl": "/proceedings-article/qsic/2007/30350304/12OmNAR1aRm",
"parentPublication": {
"id": "proceedings/qsic/2007/3035/0",
"title": "2007 7th International Conference on Quality Software",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdps/2004/2132/4/213240136b",
"title": "System-Level Parallelism and Throughput Optimization in Designing Reconfigurable Computing Applications",
"doi": null,
"abstractUrl": "/proceedings-article/ipdps/2004/213240136b/12OmNB0X8tU",
"parentPublication": {
"id": "proceedings/ipdps/2004/2132/4",
"title": "Parallel and Distributed Processing Symposium, International",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ispa/2008/3471/0/3471a675",
"title": "Ocean-Atmosphere Application Scheduling within DIET",
"doi": null,
"abstractUrl": "/proceedings-article/ispa/2008/3471a675/12OmNC8uRyQ",
"parentPublication": {
"id": "proceedings/ispa/2008/3471/0",
"title": "2008 IEEE International Symposium on Parallel and Distributed Processing with Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sbac-pad/2011/4573/0/4573a168",
"title": "Why Online Dynamic Mesh Refinement is Better for Parallel Climatological Models",
"doi": null,
"abstractUrl": "/proceedings-article/sbac-pad/2011/4573a168/12OmNvDI3PJ",
"parentPublication": {
"id": "proceedings/sbac-pad/2011/4573/0",
"title": "Computer Architecture and High Performance Computing, Symposium on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cnsr/2008/3135/0/3135a510",
"title": "Exploiting the Thread-Level Parallelism for BGP on Multi-core",
"doi": null,
"abstractUrl": "/proceedings-article/cnsr/2008/3135a510/12OmNwDj16b",
"parentPublication": {
"id": "proceedings/cnsr/2008/3135/0",
"title": "2008 6th Annual Communication Networks and Services Research Conference (CNSR '08)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpdc/1993/3900/0/00263852",
"title": "Toward a high performance distributed memory climate model",
"doi": null,
"abstractUrl": "/proceedings-article/hpdc/1993/00263852/12OmNx5pj0j",
"parentPublication": {
"id": "proceedings/hpdc/1993/3900/0",
"title": "1993 The 2nd International Symposium on High Performance Distributed Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/mi/1997/05/m5020",
"title": "Exploiting Instruction- and Data-Level Parallelism",
"doi": null,
"abstractUrl": "/magazine/mi/1997/05/m5020/13rRUxBJhCF",
"parentPublication": {
"id": "mags/mi",
"title": "IEEE Micro",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/1999/02/t0218",
"title": "The Impact of Exploiting Instruction-Level Parallelism on Shared-Memory Multiprocessors",
"doi": null,
"abstractUrl": "/journal/tc/1999/02/t0218/13rRUxZzAgJ",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdps/2022/8106/0/810600a223",
"title": "Exploring Efficient Microservice Level Parallelism",
"doi": null,
"abstractUrl": "/proceedings-article/ipdps/2022/810600a223/1F1W30OBJiU",
"parentPublication": {
"id": "proceedings/ipdps/2022/8106/0",
"title": "2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNxwWorB",
"title": "Proceedings of Seventh Annual IEEE Visualization '96",
"acronym": "visual",
"groupId": "1000796",
"volume": "0",
"displayVolume": "0",
"year": "1996",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxEBzho",
"doi": "10.1109/VISUAL.1996.568150",
"title": "Interactive exploration and modeling of large data sets: a case study with Venus light scattering data",
"normalizedTitle": "Interactive exploration and modeling of large data sets: a case study with Venus light scattering data",
"abstract": "We present a system where visualization and the control of the simulation are integrated to facilitate interactive exploration and modeling of large data sets. The system was developed to estimate properties of the atmosphere of Venus from comparison between measured and simulated data. Reuse of results, distributed computing, and multiple views on the data were the major ingredients to create an effective environment.",
"abstracts": [
{
"abstractType": "Regular",
"content": "We present a system where visualization and the control of the simulation are integrated to facilitate interactive exploration and modeling of large data sets. The system was developed to estimate properties of the atmosphere of Venus from comparison between measured and simulated data. Reuse of results, distributed computing, and multiple views on the data were the major ingredients to create an effective environment.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "We present a system where visualization and the control of the simulation are integrated to facilitate interactive exploration and modeling of large data sets. The system was developed to estimate properties of the atmosphere of Venus from comparison between measured and simulated data. Reuse of results, distributed computing, and multiple views on the data were the major ingredients to create an effective environment.",
"fno": "00568150",
"keywords": [
"Astronomy Computing",
"Large Data Set Modeling",
"Interactive Data Exploration",
"Case Study",
"Venus Light Scattering Data",
"Data Visualization",
"Simulation",
"Venus Atmosphere",
"Measurement",
"Distributed Computing",
"Multiple Views",
"Computer Aided Software Engineering",
"Venus",
"Light Scattering",
"Atmospheric Modeling",
"Computer Graphics",
"Atmosphere",
"Extraterrestrial Measurements",
"Power System Modeling",
"Computational Modeling",
"Atmospheric Measurements"
],
"authors": [
{
"affiliation": "Netherlands Energy Res. Found., Petten, Netherlands",
"fullName": "J.J. van Wijk",
"givenName": "J.J.",
"surname": "van Wijk",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "H.J.W. Spoelder",
"givenName": "H.J.W.",
"surname": "Spoelder",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "W.-J. Knibbe",
"givenName": "W.-J.",
"surname": "Knibbe",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "K.E. Shahroudi",
"givenName": "K.E.",
"surname": "Shahroudi",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "visual",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "1996-01-01T00:00:00",
"pubType": "proceedings",
"pages": "433-436",
"year": "1996",
"issn": null,
"isbn": "0-89791-864-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "00568148",
"articleId": "12OmNrJAdTV",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "00568163",
"articleId": "12OmNBqv2fK",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icde/2015/7964/0/07113362",
"title": "VENUS: Vertex-centric streamlined graph computation on a single PC",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2015/07113362/12OmNAZfxFs",
"parentPublication": {
"id": "proceedings/icde/2015/7964/0",
"title": "2015 IEEE 31st International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ieee-vis/1996/3673/0/36730433",
"title": "Interactive Exploration and Modeling of Large Data Sets: A Case Study with Venus Light Scattering Data",
"doi": null,
"abstractUrl": "/proceedings-article/ieee-vis/1996/36730433/12OmNBscD2A",
"parentPublication": {
"id": "proceedings/ieee-vis/1996/3673/0",
"title": "Visualization Conference, IEEE",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2014/5666/0/07004403",
"title": "Improved data exploitation for DKIST high-resolution solar observations",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2014/07004403/12OmNCvcLHB",
"parentPublication": {
"id": "proceedings/big-data/2014/5666/0",
"title": "2014 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipps/1993/3442/0/0262809",
"title": "Process Groups: a mechanism for the coordination of and communication among processes in the Venus collective communication library",
"doi": null,
"abstractUrl": "/proceedings-article/ipps/1993/0262809/12OmNqNXEqH",
"parentPublication": {
"id": "proceedings/ipps/1993/3442/0",
"title": "Parallel Processing Symposium, International",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icalt/2016/9041/0/9041a031",
"title": "Evaluating the Impact of Mars and Venus Effect on the Use of an Adaptive Learning Technology for Portuguese and Mathematics",
"doi": null,
"abstractUrl": "/proceedings-article/icalt/2016/9041a031/12OmNrNh0Cq",
"parentPublication": {
"id": "proceedings/icalt/2016/9041/0",
"title": "2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2004/8484/2/01326274",
"title": "Performance of Doppler estimation for acoustic sources with atmospheric scattering",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2004/01326274/12OmNxV4ivb",
"parentPublication": {
"id": "proceedings/icassp/2004/8484/2",
"title": "2004 IEEE International Conference on Acoustics, Speech, and Signal Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/02/07303957",
"title": "Venus: Scalable Real-Time Spatial Queries on Microblogs with Adaptive Load Shedding",
"doi": null,
"abstractUrl": "/journal/tk/2016/02/07303957/13rRUwdrdST",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/08/07335621",
"title": "VENUS: A System for Streamlined Graph Computation on a Single PC",
"doi": null,
"abstractUrl": "/journal/tk/2016/08/07335621/13rRUxlgxTU",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222377",
"title": "Interactive Visualization of Atmospheric Effects for Celestial Bodies",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222377/1nTrHSFagNy",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/eimss/2021/2707/0/270700a205",
"title": "Research on Influencing Factors of College Students' Learning Engagement Based on SPSS24.0",
"doi": null,
"abstractUrl": "/proceedings-article/eimss/2021/270700a205/1yEZIPXoZZS",
"parentPublication": {
"id": "proceedings/eimss/2021/2707/0",
"title": "2021 International Conference on Education, Information Management and Service Science (EIMSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNCmpcMP",
"title": "IEEE International Conference on Computational Photography (ICCP)",
"acronym": "iccp",
"groupId": "1800125",
"volume": "0",
"displayVolume": "0",
"year": "2011",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxFsmGD",
"doi": "10.1109/ICCPHOT.2011.5753124",
"title": "Spaceborne underwater imaging",
"normalizedTitle": "Spaceborne underwater imaging",
"abstract": "Shallow waters are very important for human and biological activity. Remote sensing of these areas is challenging, as it requires separation of ocean (or lake) bottom, water and atmospheric effects. In this paper we describe a concept and theory for spaceborne recovery of the underwater depth map, optical characteristics of the water and atmosphere, and the descattered ocean bottom. The sensing is based on multi-angular geometry and polarization. An orbiting platform captures a subspace of the Earth's light field, which is sensitive to the atmospheric and water characteristics. Consequently, it is possible to invert the image formation process using the acquired data. Recovery is simplified using recent findings about natural characteristics of deep water backscatter and surface transmissivity. It also exploits accumulated historical sounding data.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Shallow waters are very important for human and biological activity. Remote sensing of these areas is challenging, as it requires separation of ocean (or lake) bottom, water and atmospheric effects. In this paper we describe a concept and theory for spaceborne recovery of the underwater depth map, optical characteristics of the water and atmosphere, and the descattered ocean bottom. The sensing is based on multi-angular geometry and polarization. An orbiting platform captures a subspace of the Earth's light field, which is sensitive to the atmospheric and water characteristics. Consequently, it is possible to invert the image formation process using the acquired data. Recovery is simplified using recent findings about natural characteristics of deep water backscatter and surface transmissivity. It also exploits accumulated historical sounding data.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Shallow waters are very important for human and biological activity. Remote sensing of these areas is challenging, as it requires separation of ocean (or lake) bottom, water and atmospheric effects. In this paper we describe a concept and theory for spaceborne recovery of the underwater depth map, optical characteristics of the water and atmosphere, and the descattered ocean bottom. The sensing is based on multi-angular geometry and polarization. An orbiting platform captures a subspace of the Earth's light field, which is sensitive to the atmospheric and water characteristics. Consequently, it is possible to invert the image formation process using the acquired data. Recovery is simplified using recent findings about natural characteristics of deep water backscatter and surface transmissivity. It also exploits accumulated historical sounding data.",
"fno": "05753124",
"keywords": [
"Atmospheric Optics",
"Bathymetry",
"Hydrological Techniques",
"Lakes",
"Oceanographic Techniques",
"Remote Sensing",
"Underwater Optics",
"Spaceborne Underwater Imaging",
"Shallow Waters",
"Human Activity",
"Biological Activity",
"Remote Sensing",
"Ocean Bottom",
"Lake Bottom",
"Atmospheric Effects",
"Underwater Depth Map",
"Water Optical Characteristics",
"Multiangular Geometry",
"Earth Light Field",
"Image Formation Process",
"Deep Water Backscatter",
"Surface Transmissivity",
"Sea Surface",
"Sun",
"Atmosphere",
"Attenuation",
"Cameras",
"Atmospheric Measurements",
"Pixel"
],
"authors": [
{
"affiliation": "Dept. of Electrical Engineering, Technion - Israel Institute of Technology, Haifa 32000, Israel",
"fullName": "Yoav Y. Schechner",
"givenName": "Yoav Y.",
"surname": "Schechner",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA",
"fullName": "David J. Diner",
"givenName": "David J.",
"surname": "Diner",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA",
"fullName": "John V. Martonchik",
"givenName": "John V.",
"surname": "Martonchik",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iccp",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2011-04-01T00:00:00",
"pubType": "proceedings",
"pages": "1-8",
"year": "2011",
"issn": null,
"isbn": "978-1-61284-707-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "05753123",
"articleId": "12OmNAqkSGI",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "05753125",
"articleId": "12OmNzcPAil",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/2017/0457/0/0457a568",
"title": "What is the Space of Attenuation Coefficients in Underwater Computer Vision?",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2017/0457a568/12OmNBeRtNb",
"parentPublication": {
"id": "proceedings/cvpr/2017/0457/0",
"title": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dodugc/2004/2259/0/01420876",
"title": "Towards a high-resolution global coupled navy prediction system",
"doi": null,
"abstractUrl": "/proceedings-article/dodugc/2004/01420876/12OmNwkzuow",
"parentPublication": {
"id": "proceedings/dodugc/2004/2259/0",
"title": "Proceedings. Users Group Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2006/2734/0/04031005",
"title": "Automating Climate Science: Large Ensemble Simulations on the TeraGrid with the GriPhyN Virtual Data System",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2006/04031005/12OmNxxNbQi",
"parentPublication": {
"id": "proceedings/e-science/2006/2734/0",
"title": "2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/crv/2015/1986/0/1986a016",
"title": "Drifter Sensor Network for Environmental Monitoring",
"doi": null,
"abstractUrl": "/proceedings-article/crv/2015/1986a016/12OmNxxdZMk",
"parentPublication": {
"id": "proceedings/crv/2015/1986/0",
"title": "2015 12th Conference on Computer and Robot Vision (CRV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmla/2016/6167/0/07838290",
"title": "Error Detection of Ocean Depth Series Data with Area Partitioning and Using Sliding Window",
"doi": null,
"abstractUrl": "/proceedings-article/icmla/2016/07838290/12OmNzC5T3f",
"parentPublication": {
"id": "proceedings/icmla/2016/6167/0",
"title": "2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iiai-aai/2021/2420/0/242000a785",
"title": "Visual Effects for Real Time Ocean Water Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/iiai-aai/2021/242000a785/1Eb2IbGhH6E",
"parentPublication": {
"id": "proceedings/iiai-aai/2021/2420/0",
"title": "2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisce/2019/3681/0/368100a660",
"title": "The Slowly Rising Cadmium Content at Bottom",
"doi": null,
"abstractUrl": "/proceedings-article/cisce/2019/368100a660/1cI5WQN7VIs",
"parentPublication": {
"id": "proceedings/cisce/2019/3681/0",
"title": "2019 International Conference on Communications, Information System and Computer Engineering (CISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisce/2019/3681/0/368100a651",
"title": "The Dynamic Vertical Variation of Cadmium Content Caused by Source and Transport Volume",
"doi": null,
"abstractUrl": "/proceedings-article/cisce/2019/368100a651/1cI60Et14ty",
"parentPublication": {
"id": "proceedings/cisce/2019/3681/0",
"title": "2019 International Conference on Communications, Information System and Computer Engineering (CISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdh/2020/9234/0/923400a039",
"title": "Underwater high-precision panoramic 3D image generation",
"doi": null,
"abstractUrl": "/proceedings-article/icdh/2020/923400a039/1uGXXh2qEko",
"parentPublication": {
"id": "proceedings/icdh/2020/9234/0",
"title": "2020 8th International Conference on Digital Home (ICDH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2021/2463/0/246300b633",
"title": "Development of Observation Device with Multi Sensor Platform for Underwater Aquaculture Cages",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2021/246300b633/1wLcudOITDi",
"parentPublication": {
"id": "proceedings/compsac/2021/2463/0",
"title": "2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNyRg4qt",
"title": "2011 10th International Workshop on Electronics, Control, Measurement and Signals (ECMS)",
"acronym": "iwecms",
"groupId": "1800391",
"volume": "0",
"displayVolume": "0",
"year": "2011",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxTmHLX",
"doi": "10.1109/IWECMS.2011.5952381",
"title": "A multiscale approach to phase reconstruction for Adaptive Optics",
"normalizedTitle": "A multiscale approach to phase reconstruction for Adaptive Optics",
"abstract": "Adaptive Optics (AO) refers to (servo-control) methods used in astronomical imaging to compensate in real time for the loss of spatial resolution power of the instrument caused by the earth's upper atmosphere turbulence, which produces inhomogeneties of air refractive index and hence modifies in a chaotic manner the optical phase of incoming light from space. In this paper we present the first results of a radically new approach to phase reconstruction in AO based on non linear methods for the processing of complex signals having multiscale properties. We make use of the Microcanonical Multiscale Formalism (herein referred to as MMF) to infer properties along the scales of the complex signal made of the perturbated optical phase, and we perform the reconstruction of the phase using appropriate wavelet decomposition associated to the cascading properties of fully developped turbulence.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Adaptive Optics (AO) refers to (servo-control) methods used in astronomical imaging to compensate in real time for the loss of spatial resolution power of the instrument caused by the earth's upper atmosphere turbulence, which produces inhomogeneties of air refractive index and hence modifies in a chaotic manner the optical phase of incoming light from space. In this paper we present the first results of a radically new approach to phase reconstruction in AO based on non linear methods for the processing of complex signals having multiscale properties. We make use of the Microcanonical Multiscale Formalism (herein referred to as MMF) to infer properties along the scales of the complex signal made of the perturbated optical phase, and we perform the reconstruction of the phase using appropriate wavelet decomposition associated to the cascading properties of fully developped turbulence.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Adaptive Optics (AO) refers to (servo-control) methods used in astronomical imaging to compensate in real time for the loss of spatial resolution power of the instrument caused by the earth's upper atmosphere turbulence, which produces inhomogeneties of air refractive index and hence modifies in a chaotic manner the optical phase of incoming light from space. In this paper we present the first results of a radically new approach to phase reconstruction in AO based on non linear methods for the processing of complex signals having multiscale properties. We make use of the Microcanonical Multiscale Formalism (herein referred to as MMF) to infer properties along the scales of the complex signal made of the perturbated optical phase, and we perform the reconstruction of the phase using appropriate wavelet decomposition associated to the cascading properties of fully developped turbulence.",
"fno": "05952381",
"keywords": [
"Adaptive Optics",
"Image Resolution",
"Multiscale Approach",
"Phase Reconstruction",
"Adaptive Optics",
"Astronomical Imaging",
"Spatial Resolution",
"Wavelet Decomposition",
"Image Reconstruction",
"Fractals",
"Pixel",
"Wavelet Analysis",
"Signal Resolution",
"Optical Imaging",
"Terrestrial Atmosphere",
"Adaptive Optics",
"Turbulence",
"Phase Reconstruction",
"Microcanonical Multiscale Formalism",
"Complex Signals",
"Nonlinear Methods In Signal Processing",
"Wavelets",
"Time Frequency Analysis"
],
"authors": [
{
"affiliation": "INRIA Bordeaux Sud-Ouest, GeoStat team",
"fullName": "Suman Kumar Maji",
"givenName": "Suman Kumar",
"surname": "Maji",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "INRIA Bordeaux Sud-Ouest, GeoStat team",
"fullName": "Hussein Yahia",
"givenName": "Hussein",
"surname": "Yahia",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "INRIA Bordeaux Sud-Ouest, GeoStat team",
"fullName": "Oriol Pont",
"givenName": "Oriol",
"surname": "Pont",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "ONERA DOTA/E",
"fullName": "Thierry Fusco",
"givenName": "Thierry",
"surname": "Fusco",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "ONERA DOTA/E",
"fullName": "Vincent Michau",
"givenName": "Vincent",
"surname": "Michau",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "LEGOS, UMR CNRS 5566, DynBio team, Toulouse",
"fullName": "Joel Sudre",
"givenName": "Joel",
"surname": "Sudre",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iwecms",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2011-06-01T00:00:00",
"pubType": "proceedings",
"pages": "1-4",
"year": "2011",
"issn": null,
"isbn": "978-1-61284-398-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "05952380",
"articleId": "12OmNzGDsNB",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "05952382",
"articleId": "12OmNxisQRw",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvpr/1993/3880/0/00341033",
"title": "Multiscale relaxation labeling of fractal images",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/1993/00341033/12OmNBTJIJ2",
"parentPublication": {
"id": "proceedings/cvpr/1993/3880/0",
"title": "Proceedings of IEEE Conference on Computer Vision and Pattern Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ahs/2006/2614/0/26140074",
"title": "Woofer-Tweeter Adaptive Optics Test Bench",
"doi": null,
"abstractUrl": "/proceedings-article/ahs/2006/26140074/12OmNCfjepz",
"parentPublication": {
"id": "proceedings/ahs/2006/2614/0",
"title": "First NASA/ESA Conference on Adaptive Hardware and Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ssiai/2008/2296/0/04512278",
"title": "Stereoscopic Phase-Differencing: Multiscale Synthesis",
"doi": null,
"abstractUrl": "/proceedings-article/ssiai/2008/04512278/12OmNqBtj3L",
"parentPublication": {
"id": "proceedings/ssiai/2008/2296/0",
"title": "2008 IEEE Southwest Symposium on Image Analysis and Interpretation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icip/1994/6952/2/00413617",
"title": "Contrast enhancement via multiscale gradient transformation",
"doi": null,
"abstractUrl": "/proceedings-article/icip/1994/00413617/12OmNqGiu3q",
"parentPublication": {
"id": "proceedings/icip/1994/6952/2",
"title": "Proceedings of 1st International Conference on Image Processing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iscid/2008/3311/2/3311b118",
"title": "Optical Aperture Synthesis Clean and Closure Phase Image Reconstruction",
"doi": null,
"abstractUrl": "/proceedings-article/iscid/2008/3311b118/12OmNvJXeDl",
"parentPublication": {
"id": "proceedings/iscid/2008/3311/2",
"title": "2008 International Symposium on Computational Intelligence and Design",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicta/2010/4077/1/4077a196",
"title": "A Multiscale Sub-pixel Detector for Corners in Camera Calibration Targets",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2010/4077a196/12OmNwvVry6",
"parentPublication": {
"id": "proceedings/icicta/2010/4077/1",
"title": "Intelligent Computation Technology and Automation, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ssst/1993/3560/0/00522765",
"title": "The effect of random phase variation of turbulence on image resolution",
"doi": null,
"abstractUrl": "/proceedings-article/ssst/1993/00522765/12OmNy3iFgy",
"parentPublication": {
"id": "proceedings/ssst/1993/3560/0",
"title": "1993 (25th) Southeastern Symposium on System Theory",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/infcom/2000/5880/2/00832278",
"title": "Multiscale queuing analysis of long-range-dependent network traffic",
"doi": null,
"abstractUrl": "/proceedings-article/infcom/2000/00832278/12OmNyywxzE",
"parentPublication": {
"id": "proceedings/infcom/2000/5880/3",
"title": "Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tp/1992/07/i0710",
"title": "Characterization of Signals from Multiscale Edges",
"doi": null,
"abstractUrl": "/journal/tp/1992/07/i0710/13rRUwInv5i",
"parentPublication": {
"id": "trans/tp",
"title": "IEEE Transactions on Pattern Analysis & Machine Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccv/2021/2812/0/281200f631",
"title": "Adaptive Surface Reconstruction with Multiscale Convolutional Kernels",
"doi": null,
"abstractUrl": "/proceedings-article/iccv/2021/281200f631/1BmI5bvaltC",
"parentPublication": {
"id": "proceedings/iccv/2021/2812/0",
"title": "2021 IEEE/CVF International Conference on Computer Vision (ICCV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNwHz03Q",
"title": "2004 IEEE International Conference on Acoustics, Speech, and Signal Processing",
"acronym": "icassp",
"groupId": "1000002",
"volume": "2",
"displayVolume": "2",
"year": "2004",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNxV4ivb",
"doi": "10.1109/ICASSP.2004.1326274",
"title": "Performance of Doppler estimation for acoustic sources with atmospheric scattering",
"normalizedTitle": "Performance of Doppler estimation for acoustic sources with atmospheric scattering",
"abstract": "A statistical analysis of differential Doppler estimation is presented for acoustic sources with a harmonic spectrum. Our model for the sensor measurements includes a physics-based statistical model for the scattering of the wavefronts by the atmosphere. We derive the Cramer-Rao bound (CRB) on differential Doppler estimation as a function of the atmospheric conditions, the frequency of the source, and the range of the source. We apply the CRB result for several cases of interest with simulated and measured data.",
"abstracts": [
{
"abstractType": "Regular",
"content": "A statistical analysis of differential Doppler estimation is presented for acoustic sources with a harmonic spectrum. Our model for the sensor measurements includes a physics-based statistical model for the scattering of the wavefronts by the atmosphere. We derive the Cramer-Rao bound (CRB) on differential Doppler estimation as a function of the atmospheric conditions, the frequency of the source, and the range of the source. We apply the CRB result for several cases of interest with simulated and measured data.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "A statistical analysis of differential Doppler estimation is presented for acoustic sources with a harmonic spectrum. Our model for the sensor measurements includes a physics-based statistical model for the scattering of the wavefronts by the atmosphere. We derive the Cramer-Rao bound (CRB) on differential Doppler estimation as a function of the atmospheric conditions, the frequency of the source, and the range of the source. We apply the CRB result for several cases of interest with simulated and measured data.",
"fno": "01326274",
"keywords": [
"Acoustic Wave Scattering",
"Frequency Estimation",
"Acoustic Signal Processing",
"Doppler Effect",
"Statistical Analysis",
"Acoustic Wave Propagation",
"Atmospheric Acoustics",
"Differential Doppler Estimation",
"Acoustic Sources",
"Atmospheric Scattering",
"Statistical Analysis",
"Harmonic Spectrum",
"Physics Based Statistical Model",
"Scattering",
"Cramer Rao Bound",
"Frequency Estimation",
"Acoustic Scattering",
"Atmospheric Modeling",
"Acoustic Sensors",
"Frequency Estimation",
"Land Vehicles",
"Acoustic Noise",
"Internal Combustion Engines",
"Additive Noise",
"Acoustic Measurements",
"Atmospheric Measurements"
],
"authors": [
{
"affiliation": "Dept. of Electr. Eng., Bucknell Univ., Lewisburg, PA, USA",
"fullName": "R.J. Kozick",
"givenName": "R.J.",
"surname": "Kozick",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "B.M. Sadler",
"givenName": "B.M.",
"surname": "Sadler",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icassp",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2004-01-01T00:00:00",
"pubType": "proceedings",
"pages": "ii-381-4 vol.2",
"year": "2004",
"issn": "1520-6149",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "01326273",
"articleId": "12OmNy2JtcA",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "01326275",
"articleId": "12OmNzlUKcb",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/acssc/1992/3160/0/00269285",
"title": "Acoustic vector sensor array processing",
"doi": null,
"abstractUrl": "/proceedings-article/acssc/1992/00269285/12OmNBRbksw",
"parentPublication": {
"id": "proceedings/acssc/1992/3160/0",
"title": "Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2009/3583/2/3583b810",
"title": "Finite Element/Infinite Element Method for Acoustic Scattering Problem",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2009/3583b810/12OmNwDSdoq",
"parentPublication": {
"id": "proceedings/icmtma/2009/3583/2",
"title": "2009 International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/2011/4469/0/4469a885",
"title": "Time Varying Doppler-Shift Compensation for OFDM-Based Shallow Underwater Acoustic Communication Systems",
"doi": null,
"abstractUrl": "/proceedings-article/mass/2011/4469a885/12OmNx0A7EQ",
"parentPublication": {
"id": "proceedings/mass/2011/4469/0",
"title": "Mobile Ad-Hoc and Sensor Systems, IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/fg/2008/2153/0/04813470",
"title": "Recognizing talking faces from acoustic Doppler reflections",
"doi": null,
"abstractUrl": "/proceedings-article/fg/2008/04813470/12OmNxAlA8S",
"parentPublication": {
"id": "proceedings/fg/2008/2153/0",
"title": "2008 8th IEEE International Conference on Automatic Face & Gesture Recognition",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccet/2009/3521/2/3521b308",
"title": "Acoustic Doppler Velocity Log's Echo Simulation, Velocity Estimation and Performance Statistics Based on Ellipse Scattering Model",
"doi": null,
"abstractUrl": "/proceedings-article/iccet/2009/3521b308/12OmNxRnvWi",
"parentPublication": {
"id": "proceedings/iccet/2009/3521/1",
"title": "Computer Engineering and Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icassp/2002/7402/2/05744047",
"title": "Acoustic velocity measurements in the air by means of Laser Doppler Velocimetry: Cramér-Rao Bounds and Maximum Likelihood Estimation",
"doi": null,
"abstractUrl": "/proceedings-article/icassp/2002/05744047/12OmNzBOiaD",
"parentPublication": {
"id": "proceedings/icassp/2002/7402/2",
"title": "Proceedings of International Conference on Acoustics, Speech and Signal Processing (CASSP'02)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acssc/1995/7370/2/00540859",
"title": "Hull-mounted acoustic vector-sensor processing",
"doi": null,
"abstractUrl": "/proceedings-article/acssc/1995/00540859/12OmNzcxZrv",
"parentPublication": {
"id": "proceedings/acssc/1995/7370/2",
"title": "Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cso/2009/3605/2/3605c200",
"title": "Performance of an Acoustic Doppler Velocity Estimation Method Based on the Mixed Scattering Model",
"doi": null,
"abstractUrl": "/proceedings-article/cso/2009/3605c200/12OmNzzfTn6",
"parentPublication": {
"id": "proceedings/cso/2009/3605/2",
"title": "2009 International Joint Conference on Computational Sciences and Optimization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bibe/2018/6217/0/247100a181",
"title": "Remote Assessment of Gait Deterioration Due to Memory Impairment in Elderly Adults Using Micro-Doppler Radar",
"doi": null,
"abstractUrl": "/proceedings-article/bibe/2018/247100a181/17D45XDIXU4",
"parentPublication": {
"id": "proceedings/bibe/2018/6217/0",
"title": "2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpads/2021/0878/0/087800a796",
"title": "VSpace: Vehicle Spatially-Aware Sensing via Acoustic Doppler Effect",
"doi": null,
"abstractUrl": "/proceedings-article/icpads/2021/087800a796/1D4LN9ZbBq8",
"parentPublication": {
"id": "proceedings/icpads/2021/0878/0",
"title": "2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNAWpykG",
"title": "Energy and Environment Technology, International Conference on",
"acronym": "iceet",
"groupId": "1003015",
"volume": "3",
"displayVolume": "3",
"year": "2009",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyRg4n8",
"doi": "10.1109/ICEET.2009.502",
"title": "Xianyang City Atmospheric Dust Analysis in the Spring of 2008",
"normalizedTitle": "Xianyang City Atmospheric Dust Analysis in the Spring of 2008",
"abstract": "This paper is about the analysis on the characteristics and parameters of particle size of atmospheric dust in the spring of Xianyang city, in order to understand their potential sources and the impacts on the environment. The results show that the size of dust particle mainly concentrated in 4-32 μ m; the average PM10 account for 35.1% of all the dust, PM2.5 account for 9.9 %. It shows that the pollution of atmospheric particle is heavy, particularly in the business district; on the other hand, human activities such as the burning of motor vehicles, production and daily life have greater impact on the atmosphere in Xianyang city. The source of dust on the whole is natural, but the impact of human activity is obvious on PM2.5 and the particles which size> 50 μ m.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper is about the analysis on the characteristics and parameters of particle size of atmospheric dust in the spring of Xianyang city, in order to understand their potential sources and the impacts on the environment. The results show that the size of dust particle mainly concentrated in 4-32 μ m; the average PM10 account for 35.1% of all the dust, PM2.5 account for 9.9 %. It shows that the pollution of atmospheric particle is heavy, particularly in the business district; on the other hand, human activities such as the burning of motor vehicles, production and daily life have greater impact on the atmosphere in Xianyang city. The source of dust on the whole is natural, but the impact of human activity is obvious on PM2.5 and the particles which size> 50 μ m.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper is about the analysis on the characteristics and parameters of particle size of atmospheric dust in the spring of Xianyang city, in order to understand their potential sources and the impacts on the environment. The results show that the size of dust particle mainly concentrated in 4-32 μ m; the average PM10 account for 35.1% of all the dust, PM2.5 account for 9.9 %. It shows that the pollution of atmospheric particle is heavy, particularly in the business district; on the other hand, human activities such as the burning of motor vehicles, production and daily life have greater impact on the atmosphere in Xianyang city. The source of dust on the whole is natural, but the impact of human activity is obvious on PM2.5 and the particles which size> 50 μ m.",
"fno": "3819c147",
"keywords": [
"Xianyang City",
"Atmospheric Dust",
"The Characteristics Of Particle Size"
],
"authors": [
{
"affiliation": null,
"fullName": "Xingmin Shi",
"givenName": "Xingmin",
"surname": "Shi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Ningning Jin",
"givenName": "Ningning",
"surname": "Jin",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "iceet",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2009-10-01T00:00:00",
"pubType": "proceedings",
"pages": "147-150",
"year": "2009",
"issn": null,
"isbn": "978-0-7695-3819-8",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "3819c143",
"articleId": "12OmNzC5Tc3",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "3819c153",
"articleId": "12OmNx4Q6zW",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cgiv/2006/2606/0/26060317",
"title": "Variants of a New Volumetric Model for Dust Cloud Representation and Their Comparison to Existing Methods",
"doi": null,
"abstractUrl": "/proceedings-article/cgiv/2006/26060317/12OmNqBtiCJ",
"parentPublication": {
"id": "proceedings/cgiv/2006/2606/0",
"title": "International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2011/4296/3/4296e725",
"title": "The Choice of the Optimal Dust Removal Scheme of Transfer Point in a Coal Preparation Plant",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2011/4296e725/12OmNrF2DJV",
"parentPublication": {
"id": "proceedings/icmtma/2011/4296/3",
"title": "2011 Third International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ettandgrs/2008/3563/1/3563a563",
"title": "Dust Storm's Characters and Correlation with Meterological Data",
"doi": null,
"abstractUrl": "/proceedings-article/ettandgrs/2008/3563a563/12OmNrGKew0",
"parentPublication": {
"id": "proceedings/ettandgrs/2008/3563/1",
"title": "Education Technology and Training & Geoscience and Remote Sensing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/esiat/2009/3682/3/3682c617",
"title": "Analysis on Dust Emission Characteristics in the Western Desertificational Fringe Area of Hunshandake Sand-Land",
"doi": null,
"abstractUrl": "/proceedings-article/esiat/2009/3682c617/12OmNrIrPky",
"parentPublication": {
"id": "proceedings/esiat/2009/3682/3",
"title": "Environmental Science and Information Application Technology, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dis-rt/1999/0459/0/04590033",
"title": "Near Real-Time Simulation of Particle Systems",
"doi": null,
"abstractUrl": "/proceedings-article/dis-rt/1999/04590033/12OmNrJRP02",
"parentPublication": {
"id": "proceedings/dis-rt/1999/0459/0",
"title": "Distributed Interactive Simulation and Real-Time Applications, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnc/2008/3304/5/3304e504",
"title": "Dust Particle Distribution and Physical Characteristics over Hunshan Dake Sand-Land during Spring",
"doi": null,
"abstractUrl": "/proceedings-article/icnc/2008/3304e504/12OmNxEjXOx",
"parentPublication": {
"id": "proceedings/icnc/2008/3304/5",
"title": "2008 Fourth International Conference on Natural Computation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iitaw/2009/3860/0/3860a387",
"title": "Design of Concrete Spraying Machine's Automatical Dust-removing System",
"doi": null,
"abstractUrl": "/proceedings-article/iitaw/2009/3860a387/12OmNxFJXUZ",
"parentPublication": {
"id": "proceedings/iitaw/2009/3860/0",
"title": "2009 Third International Symposium on Intelligent Information Technology Application Workshops",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dcabes/2010/4110/0/4110a129",
"title": "Study on Sand-dust Model Coupled with PSU/NCAR Mesoscale Model and Its Application in Northeast Asia",
"doi": null,
"abstractUrl": "/proceedings-article/dcabes/2010/4110a129/12OmNyyeWyd",
"parentPublication": {
"id": "proceedings/dcabes/2010/4110/0",
"title": "2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ettandgrs/2008/3563/1/3563a555",
"title": "Dust Storm and Its Causes in Northern China",
"doi": null,
"abstractUrl": "/proceedings-article/ettandgrs/2008/3563a555/12OmNzYNNjt",
"parentPublication": {
"id": "proceedings/ettandgrs/2008/3563/1",
"title": "Education Technology and Training & Geoscience and Remote Sensing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2018/9156/0/915600a464",
"title": "Boosting Atmospheric Dust Forecast with PyCOMPSs",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2018/915600a464/17D45WwsQ5V",
"parentPublication": {
"id": "proceedings/e-science/2018/9156/0",
"title": "2018 IEEE 14th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1FHq3KFdnag",
"title": "2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)",
"acronym": "wowmom",
"groupId": "1001379",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1FHqaxQxdlu",
"doi": "10.1109/WoWMoM54355.2022.00071",
"title": "Joint Terahertz Communication and Atmospheric Sensing in Low Earth Orbit Satellite Networks: Physical Layer Design",
"normalizedTitle": "Joint Terahertz Communication and Atmospheric Sensing in Low Earth Orbit Satellite Networks: Physical Layer Design",
"abstract": "As the interest in the Terahertz (0.1-1THz) band grows with the technological advancements that enable communication at higher data rates, the existing use for THz-based sensing systems motivate exploration of Joint Communication and Sensing systems (JCS). Such systems can be used for the next generation of satellite constellations for the purposes of internet-backhauling, while performing scientific functions such as studying atmospheric gases. The fact that the hardware employed for both applications is highly similar, if not identical, opens the possibility of designing a new waveform that can jointly communicate and sense at the same time. In this paper, we explore Differential Absorption Radars (DAR), traditionally used for weather sensing, as a potential candidate to be operated in combination with a Chirp Spread Spectrum (CSS) modulation. We present a scenario with a satellite at Low Earth Orbit (LEO) where the CSS modulation could outperform traditional PSK modulations while making it possible to retrieve water vapor density profiles of the atmosphere with DAR. Performance of both communication and remote sensing applications are studied through simulation.",
"abstracts": [
{
"abstractType": "Regular",
"content": "As the interest in the Terahertz (0.1-1THz) band grows with the technological advancements that enable communication at higher data rates, the existing use for THz-based sensing systems motivate exploration of Joint Communication and Sensing systems (JCS). Such systems can be used for the next generation of satellite constellations for the purposes of internet-backhauling, while performing scientific functions such as studying atmospheric gases. The fact that the hardware employed for both applications is highly similar, if not identical, opens the possibility of designing a new waveform that can jointly communicate and sense at the same time. In this paper, we explore Differential Absorption Radars (DAR), traditionally used for weather sensing, as a potential candidate to be operated in combination with a Chirp Spread Spectrum (CSS) modulation. We present a scenario with a satellite at Low Earth Orbit (LEO) where the CSS modulation could outperform traditional PSK modulations while making it possible to retrieve water vapor density profiles of the atmosphere with DAR. Performance of both communication and remote sensing applications are studied through simulation.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "As the interest in the Terahertz (0.1-1THz) band grows with the technological advancements that enable communication at higher data rates, the existing use for THz-based sensing systems motivate exploration of Joint Communication and Sensing systems (JCS). Such systems can be used for the next generation of satellite constellations for the purposes of internet-backhauling, while performing scientific functions such as studying atmospheric gases. The fact that the hardware employed for both applications is highly similar, if not identical, opens the possibility of designing a new waveform that can jointly communicate and sense at the same time. In this paper, we explore Differential Absorption Radars (DAR), traditionally used for weather sensing, as a potential candidate to be operated in combination with a Chirp Spread Spectrum (CSS) modulation. We present a scenario with a satellite at Low Earth Orbit (LEO) where the CSS modulation could outperform traditional PSK modulations while making it possible to retrieve water vapor density profiles of the atmosphere with DAR. Performance of both communication and remote sensing applications are studied through simulation.",
"fno": "087600a457",
"keywords": [
"Artificial Satellites",
"Atmospheric Humidity",
"Atmospheric Techniques",
"Phase Shift Keying",
"Remote Sensing",
"Remote Sensing By Radar",
"Satellite Communication",
"Spread Spectrum Communication",
"Wireless Channels",
"T Hz Based Sensing Systems",
"Satellite Constellations",
"Internet Backhauling",
"Scientific Functions",
"Atmospheric Gases",
"Differential Absorption Radars",
"DAR",
"Weather Sensing",
"Chirp Spread Spectrum Modulation",
"CSS",
"Traditional PSK Modulations",
"Remote Sensing Applications",
"Joint Terahertz Communication",
"Low Earth Orbit Satellite Networks",
"Physical Layer Design",
"Atmospheric Sensing",
"LEO",
"Terahertz Band",
"Joint Communication And Sensing Systems",
"JCS",
"Water Vapor Density Profiles",
"Frequency 0 1 T Hz To 1 0 T Hz",
"Satellites",
"Chirp",
"Atmospheric Modeling",
"Modulation",
"Terrestrial Atmosphere",
"Low Earth Orbit Satellites",
"Symbols",
"T Hz Communications",
"Satellite Communications",
"Remote Sensing",
"Differential Absoprtion Radar",
"Chirp Spread Spectrum"
],
"authors": [
{
"affiliation": "Northeastern University,Institute for the Wireless Internet of Things,Department of Electrical and Computer Engineering,Boston,MA,USA",
"fullName": "Sergi Aliaga",
"givenName": "Sergi",
"surname": "Aliaga",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Northeastern University,Institute for the Wireless Internet of Things,Department of Electrical and Computer Engineering,Boston,MA,USA",
"fullName": "Ali J. Alqaraghuli",
"givenName": "Ali J.",
"surname": "Alqaraghuli",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Northeastern University,Institute for the Wireless Internet of Things,Department of Electrical and Computer Engineering,Boston,MA,USA",
"fullName": "Josep M. Jornet",
"givenName": "Josep M.",
"surname": "Jornet",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "wowmom",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-06-01T00:00:00",
"pubType": "proceedings",
"pages": "457-463",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-0876-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "087600a450",
"articleId": "1FHq8ql9d8k",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "087600a464",
"articleId": "1FHqhvDPf2g",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icnisc/2016/8838/0/07945948",
"title": "Modulation Performance Analysis of Terahertz Satellite Communications",
"doi": null,
"abstractUrl": "/proceedings-article/icnisc/2016/07945948/12OmNBLdKP2",
"parentPublication": {
"id": "proceedings/icnisc/2016/8838/0",
"title": "2016 International Conference on Network and Information Systems for Computers (ICNISC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aici/2009/3816/1/3816a208",
"title": "Low Earth Orbiter Satellite Precise Orbit Determination and its Precision Analysis from Satellite-Borne GPS with LP Estimation",
"doi": null,
"abstractUrl": "/proceedings-article/aici/2009/3816a208/12OmNs0kywg",
"parentPublication": {
"id": "proceedings/aici/2009/3816/1",
"title": "2009 International Conference on Artificial Intelligence and Computational Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2004/8603/3/01394604",
"title": "Resource allocation and adaptive routing in multimedia low Earth orbit satellite mobile networks",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2004/01394604/12OmNvkGW2T",
"parentPublication": {
"id": "proceedings/icme/2004/8603/3",
"title": "2004 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2013/4932/0/4932a777",
"title": "Orbit Dynamics Simulation of Satellite Simulators",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2013/4932a777/12OmNwHyZSJ",
"parentPublication": {
"id": "proceedings/icmtma/2013/4932/0",
"title": "2013 Fifth International Conference on Measuring Technology and Mechatronics Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isspit/2014/1812/0/07300573",
"title": "Tracking of Low earth orbit satellite using cubature quadrature Kalman filter",
"doi": null,
"abstractUrl": "/proceedings-article/isspit/2014/07300573/12OmNyLiuBh",
"parentPublication": {
"id": "proceedings/isspit/2014/1812/0",
"title": "2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/nt/5555/01/09912386",
"title": "CloakLoRa: A Covert Channel Over LoRa PHY",
"doi": null,
"abstractUrl": "/journal/nt/5555/01/09912386/1HeiGExqbJK",
"parentPublication": {
"id": "trans/nt",
"title": "IEEE/ACM Transactions on Networking",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ispa-bdcloud-socialcom-sustaincom/2020/1485/0/148500b235",
"title": "Network Evaluation and Planning for Large-scale Low Earth Orbit Satellite Constellation Networks",
"doi": null,
"abstractUrl": "/proceedings-article/ispa-bdcloud-socialcom-sustaincom/2020/148500b235/1ua4voUa9c4",
"parentPublication": {
"id": "proceedings/ispa-bdcloud-socialcom-sustaincom/2020/1485/0",
"title": "2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ec/2022/03/09448445",
"title": "Improvement of Battery Lifetime Based on Communication Resource Control in Low-Earth-Orbit Satellite Constellations",
"doi": null,
"abstractUrl": "/journal/ec/2022/03/09448445/1ugE9vFqPNS",
"parentPublication": {
"id": "trans/ec",
"title": "IEEE Transactions on Emerging Topics in Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnp/2021/4131/0/09651919",
"title": "OrbitCast: Exploiting Mega-Constellations for Low-Latency Earth Observation",
"doi": null,
"abstractUrl": "/proceedings-article/icnp/2021/09651919/1zHIXFXGfnO",
"parentPublication": {
"id": "proceedings/icnp/2021/4131/0",
"title": "2021 IEEE 29th International Conference on Network Protocols (ICNP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmeas/2021/9768/0/976800a032",
"title": "Attitude Control of the Low Earth Orbit Satellite with Moving Masses under Strong Aerodynamic Disturbance",
"doi": null,
"abstractUrl": "/proceedings-article/icmeas/2021/976800a032/1zuuPFmAcsE",
"parentPublication": {
"id": "proceedings/icmeas/2021/9768/0",
"title": "2021 7th International Conference on Mechanical Engineering and Automation Science (ICMEAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNBNM8Mr",
"title": "1990 First IEEE Conference on Visualization",
"acronym": "visual",
"groupId": "1000796",
"volume": "0",
"displayVolume": "0",
"year": "1990",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNBubOX8",
"doi": "10.1109/VISUAL.1990.146384",
"title": "Interactive visualization of quaternion Julia sets",
"normalizedTitle": "Interactive visualization of quaternion Julia sets",
"abstract": "The first half of a two-step quaternion Julia set visualization system is described. This step uses a quarternion square root function to adapt the classic inverse iteration algorithm to the quaternions. The augmented version produces a 3-D Julia set defined by a point cloud that can be interactively manipulated on a graphics workstation. Several cues are assigned to the point cloud to increase depth perception. Finally, a short theorem is proven that extends the domain of the inverse iteration method to a rotational family of quadratic quaternion Julia sets.<>",
"abstracts": [
{
"abstractType": "Regular",
"content": "The first half of a two-step quaternion Julia set visualization system is described. This step uses a quarternion square root function to adapt the classic inverse iteration algorithm to the quaternions. The augmented version produces a 3-D Julia set defined by a point cloud that can be interactively manipulated on a graphics workstation. Several cues are assigned to the point cloud to increase depth perception. Finally, a short theorem is proven that extends the domain of the inverse iteration method to a rotational family of quadratic quaternion Julia sets.<>",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The first half of a two-step quaternion Julia set visualization system is described. This step uses a quarternion square root function to adapt the classic inverse iteration algorithm to the quaternions. The augmented version produces a 3-D Julia set defined by a point cloud that can be interactively manipulated on a graphics workstation. Several cues are assigned to the point cloud to increase depth perception. Finally, a short theorem is proven that extends the domain of the inverse iteration method to a rotational family of quadratic quaternion Julia sets.",
"fno": "00146384",
"keywords": [
"Computer Graphics",
"Interactive Systems",
"Two Step Quaternion Julia Set Visualization System",
"Quarternion Square Root Function",
"Inverse Iteration Algorithm",
"3 D Julia Set",
"Graphics Workstation",
"Depth Perception",
"Quaternions",
"Fractals",
"Shape",
"Clouds",
"Rendering Computer Graphics",
"Workstations",
"Ray Tracing",
"Computer Graphics",
"Data Visualization",
"Laboratories"
],
"authors": [
{
"affiliation": "Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA",
"fullName": "J.C. Hart",
"givenName": "J.C.",
"surname": "Hart",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA",
"fullName": "L.H. Kauffman",
"givenName": "L.H.",
"surname": "Kauffman",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Electron. Visualization Lab., Illinois Univ., Chicago, IL, USA",
"fullName": "D.J. Sandim",
"givenName": "D.J.",
"surname": "Sandim",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "visual",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "1990-01-01T00:00:00",
"pubType": "proceedings",
"pages": "209-218, 475-6",
"year": "1990",
"issn": null,
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "00146383",
"articleId": "12OmNxHJ9su",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "00146385",
"articleId": "12OmNzRqdIO",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/csci/2014/3010/2/3010b317",
"title": "Solution of Inverse Problems Using Multilayer Quaternion Neural Networks",
"doi": null,
"abstractUrl": "/proceedings-article/csci/2014/3010b317/12OmNB8kHTi",
"parentPublication": {
"id": "proceedings/csci/2014/3010/1",
"title": "2014 International Conference on Computational Science and Computational Intelligence (CSCI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2010/4109/0/4109a625",
"title": "Color Image Analysis by Quaternion Zernike Moments",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2010/4109a625/12OmNC2OSHb",
"parentPublication": {
"id": "proceedings/icpr/2010/4109/0",
"title": "Pattern Recognition, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/robot/1991/2163/0/00131559",
"title": "Spatial rigid body dynamics using dual quaternion components",
"doi": null,
"abstractUrl": "/proceedings-article/robot/1991/00131559/12OmNC4eSrF",
"parentPublication": {
"id": "proceedings/robot/1991/2163/0",
"title": "Proceedings. 1991 IEEE International Conference on Robotics and Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/visual/1990/2083/0/00146385",
"title": "A journey into the fourth dimension (visualization)",
"doi": null,
"abstractUrl": "/proceedings-article/visual/1990/00146385/12OmNzRqdIO",
"parentPublication": {
"id": "proceedings/visual/1990/2083/0",
"title": "1990 First IEEE Conference on Visualization",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icycs/2008/3398/0/3398a797",
"title": "Quaternion Julia Fractals",
"doi": null,
"abstractUrl": "/proceedings-article/icycs/2008/3398a797/12OmNzd7bkx",
"parentPublication": {
"id": "proceedings/icycs/2008/3398/0",
"title": "2008 9th International Conference for Young Computer Scientists",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/irc/2019/9245/0/924500a094",
"title": "Performance Study on dqRNEA – A Novel Dual Quaternion Based Recursive Newton-Euler Inverse Dynamics Algorithms",
"doi": null,
"abstractUrl": "/proceedings-article/irc/2019/924500a094/18M7gMrOwbS",
"parentPublication": {
"id": "proceedings/irc/2019/9245/0",
"title": "2019 Third IEEE International Conference on Robotic Computing (IRC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisce/2019/3681/0/368100a694",
"title": "Research on UAV Attitude Data Fusion Algorithm Based on Quaternion Gradient Descent",
"doi": null,
"abstractUrl": "/proceedings-article/cisce/2019/368100a694/1cI5Xj1EaSk",
"parentPublication": {
"id": "proceedings/cisce/2019/3681/0",
"title": "2019 International Conference on Communications, Information System and Computer Engineering (CISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2020/7168/0/716800h302",
"title": "Quaternion Product Units for Deep Learning on 3D Rotation Groups",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2020/716800h302/1m3nYFu0w12",
"parentPublication": {
"id": "proceedings/cvpr/2020/7168/0",
"title": "2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09412006",
"title": "Quaternion Capsule Networks",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09412006/1tmiIVkDwLS",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icpr/2021/8808/0/09413192",
"title": "Local Binary Quaternion Rotation Pattern for colour texture retrieval",
"doi": null,
"abstractUrl": "/proceedings-article/icpr/2021/09413192/1tmjFGZqjpC",
"parentPublication": {
"id": "proceedings/icpr/2021/8808/0",
"title": "2020 25th International Conference on Pattern Recognition (ICPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNyjLoRw",
"title": "2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"acronym": "ismar",
"groupId": "1000465",
"volume": "0",
"displayVolume": "0",
"year": "2014",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNqyDjpg",
"doi": "10.1109/ISMAR.2014.6948451",
"title": "[Poster] Turbidity-based aerial perspective rendering for mixed reality",
"normalizedTitle": "[Poster] Turbidity-based aerial perspective rendering for mixed reality",
"abstract": "In outdoor Mixed Reality (MR), objects distant from the observer suffer from an effect called aerial perspective that fades the color of the objects and blends it to the environmental light color. The aerial perspective can be modeled using a physics-based approach; however, handling the changing and unpredictable environmental illumination is demanding. We present a turbidity-based method for rendering a virtual object with aerial perspective effect in a MR application. The proposed method first estimates the turbidity by matching luminance distributions of sky models and a captured omnidirectional sky image. Then the obtained turbidity is used to render the virtual object with aerial perspective.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In outdoor Mixed Reality (MR), objects distant from the observer suffer from an effect called aerial perspective that fades the color of the objects and blends it to the environmental light color. The aerial perspective can be modeled using a physics-based approach; however, handling the changing and unpredictable environmental illumination is demanding. We present a turbidity-based method for rendering a virtual object with aerial perspective effect in a MR application. The proposed method first estimates the turbidity by matching luminance distributions of sky models and a captured omnidirectional sky image. Then the obtained turbidity is used to render the virtual object with aerial perspective.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In outdoor Mixed Reality (MR), objects distant from the observer suffer from an effect called aerial perspective that fades the color of the objects and blends it to the environmental light color. The aerial perspective can be modeled using a physics-based approach; however, handling the changing and unpredictable environmental illumination is demanding. We present a turbidity-based method for rendering a virtual object with aerial perspective effect in a MR application. The proposed method first estimates the turbidity by matching luminance distributions of sky models and a captured omnidirectional sky image. Then the obtained turbidity is used to render the virtual object with aerial perspective.",
"fno": "06948451",
"keywords": [
"Atmospheric Modeling",
"Rendering Computer Graphics",
"Scattering",
"Virtual Reality",
"Solid Modeling",
"Mathematical Model",
"Observers",
"Or Education And Training",
"Photorealistic Rendering",
"MR AR For Art",
"Cultural Heritage"
],
"authors": [
{
"affiliation": "The University of Tokyo",
"fullName": "Carlos Morales",
"givenName": "Carlos",
"surname": "Morales",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The University of Tokyo",
"fullName": "Takeshi Oishi",
"givenName": "Takeshi",
"surname": "Oishi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The University of Tokyo",
"fullName": "Katsushi Ikeuchi",
"givenName": "Katsushi",
"surname": "Ikeuchi",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "ismar",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2014-09-01T00:00:00",
"pubType": "proceedings",
"pages": "283-284",
"year": "2014",
"issn": null,
"isbn": "978-1-4799-6184-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "06948450",
"articleId": "12OmNxWcHdT",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "06948452",
"articleId": "12OmNzgeLHy",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ismar/2014/6184/0/06948449",
"title": "[Poster] Device vs. user perspective rendering in google glass AR applications",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2014/06948449/12OmNCbU2XO",
"parentPublication": {
"id": "proceedings/ismar/2014/6184/0",
"title": "2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pive/2012/1218/0/06229798",
"title": "Visual perception of perspective distortions",
"doi": null,
"abstractUrl": "/proceedings-article/pive/2012/06229798/12OmNzIUfQu",
"parentPublication": {
"id": "proceedings/pive/2012/1218/0",
"title": "2012 IEEE VR Workshop on Perceptual Illusions in Virtual Environments",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2015/7660/0/7660a064",
"title": "[POSTER] Remote Mixed Reality System Supporting Interactions with Virtualized Objects",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2015/7660a064/12OmNzJbQY0",
"parentPublication": {
"id": "proceedings/ismar/2015/7660/0",
"title": "2015 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3dui/2013/6097/0/06550226",
"title": "Poster: Creating a user-specific perspective view for mobile mixed reality systems on smartphones",
"doi": null,
"abstractUrl": "/proceedings-article/3dui/2013/06550226/12OmNzsJ7tT",
"parentPublication": {
"id": "proceedings/3dui/2013/6097/0",
"title": "2013 IEEE Symposium on 3D User Interfaces (3DUI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2018/3365/0/08446391",
"title": "Visual Perception of Real World Depth Map Resolution for Mixed Reality Rendering",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2018/08446391/13bd1eSlyst",
"parentPublication": {
"id": "proceedings/vr/2018/3365/0",
"title": "2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2013/03/mcg2013030044",
"title": "Adding a Solar-Radiance Function to the Hošek-Wilkie Skylight Model",
"doi": null,
"abstractUrl": "/magazine/cg/2013/03/mcg2013030044/13rRUwkfB1X",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2022/05/09769922",
"title": "Deep Synthesis of Cloud Lighting",
"doi": null,
"abstractUrl": "/magazine/cg/2022/05/09769922/1D8dcPtTM8o",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dcabes/2022/5462/0/546200a132",
"title": "Image Dehazing Algorithm Based on Particle Swarm Optimization for Sky Region Segmentation",
"doi": null,
"abstractUrl": "/proceedings-article/dcabes/2022/546200a132/1KCSUzwRp2E",
"parentPublication": {
"id": "proceedings/dcabes/2022/5462/0",
"title": "2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2020/8508/0/850800a577",
"title": "Perspective Matters: Design Implications for Motion Guidance in Mixed Reality",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2020/850800a577/1pyswMpzRIc",
"parentPublication": {
"id": "proceedings/ismar/2020/8508/0",
"title": "2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icoias/2021/4195/0/419500a060",
"title": "Single image dehazing method via sky-regions segmentation and dark channel prior",
"doi": null,
"abstractUrl": "/proceedings-article/icoias/2021/419500a060/1wG6evFBkje",
"parentPublication": {
"id": "proceedings/icoias/2021/4195/0",
"title": "2021 4th International Conference on Intelligent Autonomous Systems (ICoIAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1J7WyguSL6w",
"title": "2022 IEEE VIS Arts Program (VISAP)",
"acronym": "visap",
"groupId": "9975351",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1J7WDdbTByo",
"doi": "10.1109/VISAP57411.2022.00008",
"title": "Sifting Strands : Winter and Spring 2022",
"normalizedTitle": "Sifting Strands : Winter and Spring 2022",
"abstract": "Sifting Strands is an interdisciplinary art project which arose from a wider scientific collaboration between computational researchers and astrophysicists. Sifting Sands brings bio-inspired patterns rooted in optimal transport networks into the aesthetic visual realm. Through it we explore how compter-generated art and live audience can collaborate in the creative act. The core of this work is a generalized simulation of Physarum polycephalum which meaningfully reacts to music, video and scene depth information. The resulting computational graph is implemented in Touch Designer and has been adapted to live performances and interactive installations. Universally, our works bring their audience together by creating a mingling space around the computational artifact.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Sifting Strands is an interdisciplinary art project which arose from a wider scientific collaboration between computational researchers and astrophysicists. Sifting Sands brings bio-inspired patterns rooted in optimal transport networks into the aesthetic visual realm. Through it we explore how compter-generated art and live audience can collaborate in the creative act. The core of this work is a generalized simulation of Physarum polycephalum which meaningfully reacts to music, video and scene depth information. The resulting computational graph is implemented in Touch Designer and has been adapted to live performances and interactive installations. Universally, our works bring their audience together by creating a mingling space around the computational artifact.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Sifting Strands is an interdisciplinary art project which arose from a wider scientific collaboration between computational researchers and astrophysicists. Sifting Sands brings bio-inspired patterns rooted in optimal transport networks into the aesthetic visual realm. Through it we explore how compter-generated art and live audience can collaborate in the creative act. The core of this work is a generalized simulation of Physarum polycephalum which meaningfully reacts to music, video and scene depth information. The resulting computational graph is implemented in Touch Designer and has been adapted to live performances and interactive installations. Universally, our works bring their audience together by creating a mingling space around the computational artifact.",
"fno": "636500a007",
"keywords": [
"Visualization",
"Adaptation Models",
"Art",
"Computational Modeling",
"Biological System Modeling",
"Collaboration",
"Media",
"Digital Simulation",
"Projection Mapping",
"Physical Media"
],
"authors": [
{
"affiliation": "University of California,Santa Cruz",
"fullName": "Oskar Elek",
"givenName": "Oskar",
"surname": "Elek",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Independent artist,Santa Cruz",
"fullName": "Weston Mossman",
"givenName": "Weston",
"surname": "Mossman",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,Santa Cruz",
"fullName": "Angus G. Forbes",
"givenName": "Angus G.",
"surname": "Forbes",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "visap",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-10-01T00:00:00",
"pubType": "proceedings",
"pages": "7-11",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-6365-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1J7WD7RcV1e",
"name": "pvisap202263650-09975577s1-mm_636500a007.zip",
"size": "23.6 MB",
"location": "https://www.computer.org/csdl/api/v1/extra/pvisap202263650-09975577s1-mm_636500a007.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "636500z008",
"articleId": "1J7WyK1Ju4E",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "636500a012",
"articleId": "1J7WCJAdHna",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fit/2015/9666/0/9666a150",
"title": "Social Networks and Emergence of Segregation Despite Extremely Intolerant Behaviors",
"doi": null,
"abstractUrl": "/proceedings-article/fit/2015/9666a150/12OmNvStcOw",
"parentPublication": {
"id": "proceedings/fit/2015/9666/0",
"title": "2015 13th International Conference on Frontiers of Information Technology (FIT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar-amh/2012/4663/0/06483993",
"title": "Exploring interactivity and augmented reality in theater: A case study of Half Real",
"doi": null,
"abstractUrl": "/proceedings-article/ismar-amh/2012/06483993/12OmNyQpheb",
"parentPublication": {
"id": "proceedings/ismar-amh/2012/4663/0",
"title": "2012 IEEE International Symposium on Mixed and Augmented Reality - Arts, Media, and Humanities (ISMAR-AMH)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2014/3575/0/3575a085",
"title": "Towards Model-and-Code Consistency Checking",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2014/3575a085/12OmNyjtNJ9",
"parentPublication": {
"id": "proceedings/compsac/2014/3575/0",
"title": "2014 IEEE 38th Annual Computer Software and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2016/8942/0/8942a294",
"title": "Case Studies of Digital and Media Art 56°56'51\"N 24°6'23\"E",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2016/8942a294/12OmNzVXNWE",
"parentPublication": {
"id": "proceedings/iv/2016/8942/0",
"title": "2016 20th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tb/2017/06/07501838",
"title": "Modeling and Identification of Amnioserosa Cell Mechanical Behavior by Using Mass-Spring Lattices",
"doi": null,
"abstractUrl": "/journal/tb/2017/06/07501838/13rRUwbs2f7",
"parentPublication": {
"id": "trans/tb",
"title": "IEEE/ACM Transactions on Computational Biology and Bioinformatics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/2015/03/06684158",
"title": "Physarum Optimization: A Biology-Inspired Algorithm for the Steiner Tree Problem in Networks",
"doi": null,
"abstractUrl": "/journal/tc/2015/03/06684158/13rRUwd9CLe",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/02/08673007",
"title": "Lance Gharavi: Performance Inspired Science + Technology",
"doi": null,
"abstractUrl": "/magazine/cg/2019/02/08673007/18BI2phTXCE",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icci*cc/2022/9084/0/10101649",
"title": "AI-enabled Decision Aid and Decision Support for Symbiotic Autonomous Systems",
"doi": null,
"abstractUrl": "/proceedings-article/icci*cc/2022/10101649/1MwEyq1G480",
"parentPublication": {
"id": "proceedings/icci*cc/2022/9084/0",
"title": "2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08798166",
"title": "Collaborative and Competitive Futures for Virtual Reality Music and Sound",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08798166/1cJ1c6vbhe0",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar/2020/8508/0/850800a555",
"title": "Enhancing Participation Experience in VR Live Concerts by Improving Motions of Virtual Audience Avatars",
"doi": null,
"abstractUrl": "/proceedings-article/ismar/2020/850800a555/1pyswu13B4Y",
"parentPublication": {
"id": "proceedings/ismar/2020/8508/0",
"title": "2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1xsdDk9ztT2",
"title": "2021 Annual Modeling and Simulation Conference (ANNSIM)",
"acronym": "annsim",
"groupId": "1831925",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1xsdH07awtq",
"doi": "10.23919/ANNSIM52504.2021.9552175",
"title": "A Novel Routing Protocol for Wireless Ad Hoc Networks Based on the Behavior of Slime Mold Physarum Polycephalum",
"normalizedTitle": "A Novel Routing Protocol for Wireless Ad Hoc Networks Based on the Behavior of Slime Mold Physarum Polycephalum",
"abstract": "In this research, we propose a novel bio-inspired algorithm modeled after the slime mold Physarum Polycephalum. Though Physarum Polycephalum lacks a brain of any kind, it can solve mazes and develop efficient networks through simple, repeated behaviors. To improve the performance of routing algorithms in wireless ad hoc networks, we designed the Optimized Physarum Link State Routing (OPLSR) Protocol. We based the mathematical model of OPLSR on the behavior of Physarum Polycephalum to determine the node's willingness to forward packets sent from neighboring nodes. We tested our novel protocol using NS3 network simulator. We compared OPLSR to the Optimized Link State Routing (OLSR) Protocol, the most used routing protocol in wireless ad hoc networks, and Ad hoc On-Demand Distance Vector Routing (AODV) protocol in multiple network environments. Our exhaustive simulations use six important performance measures to show that OPLSR protocol outperforms OLSR and AODV protocols in various network conditions.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In this research, we propose a novel bio-inspired algorithm modeled after the slime mold Physarum Polycephalum. Though Physarum Polycephalum lacks a brain of any kind, it can solve mazes and develop efficient networks through simple, repeated behaviors. To improve the performance of routing algorithms in wireless ad hoc networks, we designed the Optimized Physarum Link State Routing (OPLSR) Protocol. We based the mathematical model of OPLSR on the behavior of Physarum Polycephalum to determine the node's willingness to forward packets sent from neighboring nodes. We tested our novel protocol using NS3 network simulator. We compared OPLSR to the Optimized Link State Routing (OLSR) Protocol, the most used routing protocol in wireless ad hoc networks, and Ad hoc On-Demand Distance Vector Routing (AODV) protocol in multiple network environments. Our exhaustive simulations use six important performance measures to show that OPLSR protocol outperforms OLSR and AODV protocols in various network conditions.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In this research, we propose a novel bio-inspired algorithm modeled after the slime mold Physarum Polycephalum. Though Physarum Polycephalum lacks a brain of any kind, it can solve mazes and develop efficient networks through simple, repeated behaviors. To improve the performance of routing algorithms in wireless ad hoc networks, we designed the Optimized Physarum Link State Routing (OPLSR) Protocol. We based the mathematical model of OPLSR on the behavior of Physarum Polycephalum to determine the node's willingness to forward packets sent from neighboring nodes. We tested our novel protocol using NS3 network simulator. We compared OPLSR to the Optimized Link State Routing (OLSR) Protocol, the most used routing protocol in wireless ad hoc networks, and Ad hoc On-Demand Distance Vector Routing (AODV) protocol in multiple network environments. Our exhaustive simulations use six important performance measures to show that OPLSR protocol outperforms OLSR and AODV protocols in various network conditions.",
"fno": "09552175",
"keywords": [
"Ad Hoc Networks",
"Mathematical Analysis",
"Routing Protocols",
"Slime Mold Physarum Polycephalum",
"Repeated Behaviors",
"Wireless Ad Hoc Networks",
"NS 3 Network Simulator",
"Optimized Link State Routing Protocol",
"Multiple Network Environments",
"OPLSR Protocol",
"Network Conditions",
"Novel Routing Protocol",
"Ad Hoc On Demand Distance Vector Routing",
"Optimized Physarum Link State Routing Protocol",
"Novel Bioinspired Algorithm",
"Wireless Communication",
"Microorganisms",
"Biological System Modeling",
"Packet Loss",
"Routing",
"Throughput",
"Mathematical Models",
"Routing",
"MANET",
"Slime Mold",
"OLSR",
"AODV"
],
"authors": [
{
"affiliation": "Stetson University,DeLand,FL,USA",
"fullName": "Hudson DeVoe",
"givenName": "Hudson",
"surname": "DeVoe",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Stetson University,DeLand,FL,USA",
"fullName": "Nicholas Gilmet",
"givenName": "Nicholas",
"surname": "Gilmet",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Stetson University,DeLand,FL,USA",
"fullName": "Hala ElAarag",
"givenName": "Hala",
"surname": "ElAarag",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "annsim",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-07-01T00:00:00",
"pubType": "proceedings",
"pages": "1-12",
"year": "2021",
"issn": null,
"isbn": "978-1-56555-375-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09552093",
"articleId": "1xsdEZxfC3S",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09552112",
"articleId": "1xsdGM1tc6Q",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icdcsw/2004/2087/6/208760704",
"title": "OLSR Performance Measurement in a Military Mobile Ad-hoc Network",
"doi": null,
"abstractUrl": "/proceedings-article/icdcsw/2004/208760704/12OmNANTAzh",
"parentPublication": {
"id": "proceedings/icdcsw/2004/2087/6",
"title": "24th International Conference on Distributed Computing Systems Workshops, 2004. Proceedings.",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/msn/2008/3457/0/3457a099",
"title": "A Multi-metric QoS Routing Method for Ad Hoc Network",
"doi": null,
"abstractUrl": "/proceedings-article/msn/2008/3457a099/12OmNAi6vS6",
"parentPublication": {
"id": "proceedings/msn/2008/3457/0",
"title": "2008 The 4th International Conference on Mobile Ad-hoc and Sensor Networks",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mass/2008/2574/0/04660108",
"title": "OLSR enhancement for multi-interface multi-channel ad hoc networks",
"doi": null,
"abstractUrl": "/proceedings-article/mass/2008/04660108/12OmNBDQbeb",
"parentPublication": {
"id": "proceedings/mass/2008/2574/0",
"title": "2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icndc/2011/0407/0/06047151",
"title": "Real-time Video Streaming Over Multi-hop Ad-hoc Networks",
"doi": null,
"abstractUrl": "/proceedings-article/icndc/2011/06047151/12OmNBZHiix",
"parentPublication": {
"id": "proceedings/icndc/2011/0407/0",
"title": "2011 Second International Conference on Networking and Distributed Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aqtr/2018/2205/0/08402713",
"title": "Video content transmission in a public safety system model based on flying Ad-hoc networks",
"doi": null,
"abstractUrl": "/proceedings-article/aqtr/2018/08402713/12OmNBp52sT",
"parentPublication": {
"id": "proceedings/aqtr/2018/2205/0",
"title": "2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/imis/2015/8873/0/8873a009",
"title": "Experimental Results of a CentOS-Based Ad-Hoc Network Testbed Considering LoS Scenario",
"doi": null,
"abstractUrl": "/proceedings-article/imis/2015/8873a009/12OmNwAbqvZ",
"parentPublication": {
"id": "proceedings/imis/2015/8873/0",
"title": "2015 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cisis/2012/4687/0/4687a290",
"title": "Congestion Control for Multi-flow Traffic in Wireless Mobile Ad-Hoc Networks",
"doi": null,
"abstractUrl": "/proceedings-article/cisis/2012/4687a290/12OmNwcCIJM",
"parentPublication": {
"id": "proceedings/cisis/2012/4687/0",
"title": "2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisa/2013/0602/0/06579350",
"title": "Performance Analysis of Ad Hoc Routing Protocols Based on Selective Forwarding Node Algorithms",
"doi": null,
"abstractUrl": "/proceedings-article/icisa/2013/06579350/12OmNzCF4X6",
"parentPublication": {
"id": "proceedings/icisa/2013/0602/0",
"title": "2013 International Conference on Information Science and Applications (ICISA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/lcn/2009/4488/0/05355100",
"title": "P-OLSR: Position-based optimized link state routing for mobile ad hoc networks",
"doi": null,
"abstractUrl": "/proceedings-article/lcn/2009/05355100/12OmNzcPA7v",
"parentPublication": {
"id": "proceedings/lcn/2009/4488/0",
"title": "2009 IEEE 34th Conference on Local Computer Networks",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tc/2015/03/06684158",
"title": "Physarum Optimization: A Biology-Inspired Algorithm for the Steiner Tree Problem in Networks",
"doi": null,
"abstractUrl": "/journal/tc/2015/03/06684158/13rRUwd9CLe",
"parentPublication": {
"id": "trans/tc",
"title": "IEEE Transactions on Computers",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1y14BcZ26Tm",
"title": "2021 IEEE 17th International Conference on eScience (eScience)",
"acronym": "escience",
"groupId": "1001511",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1y14FMvt42I",
"doi": "10.1109/eScience51609.2021.00033",
"title": "FPCA emulation of cosmological simulations",
"normalizedTitle": "FPCA emulation of cosmological simulations",
"abstract": "The study of cosmological structure formation usually relies on computationally intensive N-body simulations, that evolve ensembles of particles assuming an underlying physical model. The diversity of physical assumptions and the number of parameters involved often limit the application of these techniques to only a few cases in the multi-dimensional spaces of cosmological parameters. Recently, supervised deep learning methods have been proposed to alleviate part of the computational overhead of N-body methods, but overheads are still high. In this work, we present a new method, based on Functional Principal Component Analysis (FPCA), that allows fast and accurate estimations of 3D N-body density fields and run-time gains of orders of magnitude when compared with traditional N-body simulations of the same resolution. Here we also compare FPCA to an approach of compressing the simulations through Principal Component Analysis (PCA) and using a single-layer Neural Network (NN) to perform the emulation. We show that FPCA can achieve slightly better accuracy than the PCA+NN method, short-cutting the need to apply supervised learning as an additional step in the emulation of cosmological simulations.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The study of cosmological structure formation usually relies on computationally intensive N-body simulations, that evolve ensembles of particles assuming an underlying physical model. The diversity of physical assumptions and the number of parameters involved often limit the application of these techniques to only a few cases in the multi-dimensional spaces of cosmological parameters. Recently, supervised deep learning methods have been proposed to alleviate part of the computational overhead of N-body methods, but overheads are still high. In this work, we present a new method, based on Functional Principal Component Analysis (FPCA), that allows fast and accurate estimations of 3D N-body density fields and run-time gains of orders of magnitude when compared with traditional N-body simulations of the same resolution. Here we also compare FPCA to an approach of compressing the simulations through Principal Component Analysis (PCA) and using a single-layer Neural Network (NN) to perform the emulation. We show that FPCA can achieve slightly better accuracy than the PCA+NN method, short-cutting the need to apply supervised learning as an additional step in the emulation of cosmological simulations.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The study of cosmological structure formation usually relies on computationally intensive N-body simulations, that evolve ensembles of particles assuming an underlying physical model. The diversity of physical assumptions and the number of parameters involved often limit the application of these techniques to only a few cases in the multi-dimensional spaces of cosmological parameters. Recently, supervised deep learning methods have been proposed to alleviate part of the computational overhead of N-body methods, but overheads are still high. In this work, we present a new method, based on Functional Principal Component Analysis (FPCA), that allows fast and accurate estimations of 3D N-body density fields and run-time gains of orders of magnitude when compared with traditional N-body simulations of the same resolution. Here we also compare FPCA to an approach of compressing the simulations through Principal Component Analysis (PCA) and using a single-layer Neural Network (NN) to perform the emulation. We show that FPCA can achieve slightly better accuracy than the PCA+NN method, short-cutting the need to apply supervised learning as an additional step in the emulation of cosmological simulations.",
"fno": "036100a225",
"keywords": [
"Cosmology",
"N Body Simulations Astronomical",
"FPCA Emulation",
"Cosmological Simulations",
"Cosmological Structure Formation",
"Computationally Intensive N Body Simulations",
"Underlying Physical Model",
"Multidimensional Spaces",
"Cosmological Parameters",
"Supervised Deep Learning Methods",
"Computational Overhead",
"N Body Methods",
"Functional Principal Component Analysis",
"N Body Density Fields",
"Traditional N Body Simulations",
"PCA NN Method",
"Supervised Learning",
"Deep Learning",
"Analytical Models",
"Solid Modeling",
"Three Dimensional Displays",
"Computational Modeling",
"Emulation",
"Supervised Learning",
"Astrophysics",
"Statistical Learning",
"Emulation"
],
"authors": [
{
"affiliation": "Universidade de Lisboa,IA Faculdade de Ciências,Campo Grande,1749-016 Lisboa,Portugal",
"fullName": "Miguel Conceição",
"givenName": "Miguel",
"surname": "Conceição",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of California,Department of Informatics,Irvine,Irvine CA 92697,USA",
"fullName": "Alberto Krone-Martins",
"givenName": "Alberto",
"surname": "Krone-Martins",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Universidade de Lisboa,IA Faculdade de Ciências,Campo Grande,1749-016 Lisboa,Portugal",
"fullName": "Antonio da Silva",
"givenName": "Antonio",
"surname": "da Silva",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "escience",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-09-01T00:00:00",
"pubType": "proceedings",
"pages": "225-226",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-0361-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "036100a215",
"articleId": "1y14Ei72e2I",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "036100a227",
"articleId": "1y14EQJwTEA",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/pacificvis/2010/6685/0/05429606",
"title": "Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2010/05429606/12OmNBSSVaO",
"parentPublication": {
"id": "proceedings/pacificvis/2010/6685/0",
"title": "2010 IEEE Pacific Visualization Symposium (PacificVis 2010)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdps/2008/1693/0/04536319",
"title": "Massively parallel cosmological simulations with ChaNGa",
"doi": null,
"abstractUrl": "/proceedings-article/ipdps/2008/04536319/12OmNvStcyx",
"parentPublication": {
"id": "proceedings/ipdps/2008/1693/0",
"title": "2008 IEEE International Parallel & Distributed Processing Symposium",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/gce/2014/7030/0/7030a030",
"title": "PDACS - A Portal for Data Analysis Services for Cosmological Simulations",
"doi": null,
"abstractUrl": "/proceedings-article/gce/2014/7030a030/12OmNwBT1nW",
"parentPublication": {
"id": "proceedings/gce/2014/7030/0",
"title": "2014 9th Gateway Computing Environments Workshop (GCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/scc/2012/6218/0/06495816",
"title": "Meshing the Universe: Integrating Analysis in Cosmological Simulations",
"doi": null,
"abstractUrl": "/proceedings-article/scc/2012/06495816/12OmNwpXRYF",
"parentPublication": {
"id": "proceedings/scc/2012/6218/0",
"title": "2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sc/2013/9999/0/06877505",
"title": "2HOT: An improved parallel hashed oct-tree N-Body algorithm for cosmological simulation",
"doi": null,
"abstractUrl": "/proceedings-article/sc/2013/06877505/12OmNz4SOyu",
"parentPublication": {
"id": "proceedings/sc/2013/9999/0",
"title": "2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/sccompanion/2012/4956/0/4956a186",
"title": "Meshing the Universe: Integrating Analysis in Cosmological Simulations",
"doi": null,
"abstractUrl": "/proceedings-article/sccompanion/2012/4956a186/12OmNzaQo86",
"parentPublication": {
"id": "proceedings/sccompanion/2012/4956/0",
"title": "2012 SC Companion: High Performance Computing, Networking Storage and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cluster/2011/4516/0/4516a008",
"title": "Performance Emulation of Cell-Based AMR Cosmology Simulations",
"doi": null,
"abstractUrl": "/proceedings-article/cluster/2011/4516a008/12OmNzlUKhz",
"parentPublication": {
"id": "proceedings/cluster/2011/4516/0",
"title": "2011 IEEE International Conference on Cluster Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/e-science/2022/6124/0/612400a395",
"title": "Upscaling of Cosmological N-body Simulations",
"doi": null,
"abstractUrl": "/proceedings-article/e-science/2022/612400a395/1J6htdAI87K",
"parentPublication": {
"id": "proceedings/e-science/2022/6124/0",
"title": "2022 IEEE 18th International Conference on e-Science (e-Science)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdps/2020/6876/0/09139874",
"title": "Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations",
"doi": null,
"abstractUrl": "/proceedings-article/ipdps/2020/09139874/1lss76hEUq4",
"parentPublication": {
"id": "proceedings/ipdps/2020/6876/0",
"title": "2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ccgrid/2020/6095/0/09139651",
"title": "CUBE – Towards an Optimal Scaling of Cosmological N-body Simulations",
"doi": null,
"abstractUrl": "/proceedings-article/ccgrid/2020/09139651/1lsstLzZ79e",
"parentPublication": {
"id": "proceedings/ccgrid/2020/6095/0",
"title": "2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNvpNIpw",
"title": "2015 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"acronym": "vast",
"groupId": "1001630",
"volume": "0",
"displayVolume": "0",
"year": "2015",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNyKJiqF",
"doi": "10.1109/VAST.2015.7347679",
"title": "Visual analysis of route choice behaviour based on GPS trajectories",
"normalizedTitle": "Visual analysis of route choice behaviour based on GPS trajectories",
"abstract": "There are often multiple routes between regions. Many factors potentially affect driver's route choice, such as expected time cost, length etc. In this work, we present a visual analysis system to explore driver's route choice behaviour based on taxi GPS trajectory data. With interactive trajectory filtering, the system constructs feasible routes between regions of interest. Using a rank-based visualization, the attributes of multiple routes are explored and compared. Based on a statistical model, the system supports to verify trajectory-related factors' impact on route choice behaviour. The effectiveness of the system is demonstrated by applying to real trajectory dataset.",
"abstracts": [
{
"abstractType": "Regular",
"content": "There are often multiple routes between regions. Many factors potentially affect driver's route choice, such as expected time cost, length etc. In this work, we present a visual analysis system to explore driver's route choice behaviour based on taxi GPS trajectory data. With interactive trajectory filtering, the system constructs feasible routes between regions of interest. Using a rank-based visualization, the attributes of multiple routes are explored and compared. Based on a statistical model, the system supports to verify trajectory-related factors' impact on route choice behaviour. The effectiveness of the system is demonstrated by applying to real trajectory dataset.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "There are often multiple routes between regions. Many factors potentially affect driver's route choice, such as expected time cost, length etc. In this work, we present a visual analysis system to explore driver's route choice behaviour based on taxi GPS trajectory data. With interactive trajectory filtering, the system constructs feasible routes between regions of interest. Using a rank-based visualization, the attributes of multiple routes are explored and compared. Based on a statistical model, the system supports to verify trajectory-related factors' impact on route choice behaviour. The effectiveness of the system is demonstrated by applying to real trajectory dataset.",
"fno": "07347679",
"keywords": [
"Behavioural Sciences Computing",
"Data Visualisation",
"Driver Information Systems",
"Global Positioning System",
"Interactive Systems",
"Statistical Analysis",
"Vehicle Routing",
"Driver Route Choice Behaviour",
"Taxi GPS Trajectory Data",
"Visual Analysis System",
"Interactive Trajectory Filtering",
"Regions Of Interest",
"Rank Based Visualization",
"Multiple Route Attributes",
"Statistical Model",
"Real Trajectory Dataset",
"Trajectory",
"Global Positioning System",
"Public Transportation",
"Visual Analytics",
"Roads",
"Vehicles",
"I 3 6 Computer Graphics Methodology And Interaction Techniques",
"H 5 2 Information Interfaces And Presentation Graphical User Interfaces GUI"
],
"authors": [
{
"affiliation": "Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, China",
"fullName": "Min Lu",
"givenName": "Min",
"surname": "Lu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, China",
"fullName": "Chufan Lai",
"givenName": "Chufan",
"surname": "Lai",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, China",
"fullName": "Tangzhi Ye",
"givenName": "Tangzhi",
"surname": "Ye",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, China",
"fullName": "Jie Liang",
"givenName": "Jie",
"surname": "Liang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University, China",
"fullName": "Xiaoru Yuan",
"givenName": "Xiaoru",
"surname": "Yuan",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vast",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2015-10-01T00:00:00",
"pubType": "proceedings",
"pages": "203-204",
"year": "2015",
"issn": null,
"isbn": "978-1-4673-9783-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07347678",
"articleId": "12OmNCxtyJT",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07347680",
"articleId": "12OmNCm7BCj",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/pacificvis/2015/6879/0/07156392",
"title": "TrajRank: Exploring travel behaviour on a route by trajectory ranking",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2015/07156392/12OmNAYXWFA",
"parentPublication": {
"id": "proceedings/pacificvis/2015/6879/0",
"title": "2015 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cyberc/2016/5154/0/07864241",
"title": "Research on Multi-Objective Bus Route Planning Model Based on Taxi GPS Data",
"doi": null,
"abstractUrl": "/proceedings-article/cyberc/2016/07864241/12OmNBTs7Gw",
"parentPublication": {
"id": "proceedings/cyberc/2016/5154/0",
"title": "2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isuma/1990/2107/0/00151240",
"title": "Transportation route choice model using fuzzy inference technique",
"doi": null,
"abstractUrl": "/proceedings-article/isuma/1990/00151240/12OmNrJAej0",
"parentPublication": {
"id": "proceedings/isuma/1990/2107/0",
"title": "Proceedings First International Symposium on Uncertainty Modeling and Analysis",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/synasc/2014/8447/0/07034693",
"title": "Mining GPS Data to Learn Driver's Route Patterns",
"doi": null,
"abstractUrl": "/proceedings-article/synasc/2014/07034693/12OmNwBT1p6",
"parentPublication": {
"id": "proceedings/synasc/2014/8447/0",
"title": "2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bracis/2014/5618/0/5618a253",
"title": "Individual versus Difference Rewards on Reinforcement Learning for Route Choice",
"doi": null,
"abstractUrl": "/proceedings-article/bracis/2014/5618a253/12OmNy314bP",
"parentPublication": {
"id": "proceedings/bracis/2014/5618/0",
"title": "2014 Brazilian Conference on Intelligent Systems (BRACIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2015/7964/0/07113313",
"title": "Personalized route recommendation using big trajectory data",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2015/07113313/12OmNzcPA9c",
"parentPublication": {
"id": "proceedings/icde/2015/7964/0",
"title": "2015 IEEE 31st International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/bd/2017/02/07850970",
"title": "Visual Analysis of Multiple Route Choices Based on General GPS Trajectories",
"doi": null,
"abstractUrl": "/journal/bd/2017/02/07850970/13rRUx0geBI",
"parentPublication": {
"id": "trans/bd",
"title": "IEEE Transactions on Big Data",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2018/5520/0/552000b073",
"title": "Learning to Route with Sparse Trajectory Sets",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2018/552000b073/14Fq0Uc9f9u",
"parentPublication": {
"id": "proceedings/icde/2018/5520/0",
"title": "2018 IEEE 34th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdew/2020/4266/0/09094105",
"title": "Fuel consumption analysis of driven trips with respect to route choice",
"doi": null,
"abstractUrl": "/proceedings-article/icdew/2020/09094105/1jQRHLHcOHu",
"parentPublication": {
"id": "proceedings/icdew/2020/4266/0",
"title": "2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/03/09632413",
"title": "RCMVis: A Visual Analytics System for Route Choice Modeling",
"doi": null,
"abstractUrl": "/journal/tg/2023/03/09632413/1yYPkLFxoTC",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1J4CiR0iIBa",
"title": "2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)",
"acronym": "dasc-picom-cbdcom-cyberscitech",
"groupId": "9927523",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1J4Cti1Nk8U",
"doi": "10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927788",
"title": "Effectively and Efficiently Supporting Predictive Big Data Analytics over Open Big Data in the Transportation Sector: A Bayesian Network Framework",
"normalizedTitle": "Effectively and Efficiently Supporting Predictive Big Data Analytics over Open Big Data in the Transportation Sector: A Bayesian Network Framework",
"abstract": "Today, various types of valuable data can be collected with ease and at a rapid pace. In recent years, many governments, researchers, and organizations have been driven by open data pioneers, to make their data available for public. Transportation data, such as public bus performance data, is an example of open big data. The analyzing of these open big data can be used in social services. For example, bus service operators might get a vision into time delays in bus services by processing and mining public bus performance data. Then, making ameliorative steps (e.g., adding more buses, rerouting some bus routes, etc.) results in improving the feeling of the passenger. We provide a Bayesian framework, which is applied on big data obtained from transportation system. Specifically, a number of Bayesian networks have been used in our framework to predict whether a bus will arrive late or early at a specific bus stop. We investigate and establish the optimum network settings and/or parameter permutations for each (bus stop, bus route, arrival time)-triplet. The results demonstrate that the proposed Bayesian framework effectively supports predictive analytics on big transportation data collected from the City of Winnipeg, Manitoba, Canada.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Today, various types of valuable data can be collected with ease and at a rapid pace. In recent years, many governments, researchers, and organizations have been driven by open data pioneers, to make their data available for public. Transportation data, such as public bus performance data, is an example of open big data. The analyzing of these open big data can be used in social services. For example, bus service operators might get a vision into time delays in bus services by processing and mining public bus performance data. Then, making ameliorative steps (e.g., adding more buses, rerouting some bus routes, etc.) results in improving the feeling of the passenger. We provide a Bayesian framework, which is applied on big data obtained from transportation system. Specifically, a number of Bayesian networks have been used in our framework to predict whether a bus will arrive late or early at a specific bus stop. We investigate and establish the optimum network settings and/or parameter permutations for each (bus stop, bus route, arrival time)-triplet. The results demonstrate that the proposed Bayesian framework effectively supports predictive analytics on big transportation data collected from the City of Winnipeg, Manitoba, Canada.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Today, various types of valuable data can be collected with ease and at a rapid pace. In recent years, many governments, researchers, and organizations have been driven by open data pioneers, to make their data available for public. Transportation data, such as public bus performance data, is an example of open big data. The analyzing of these open big data can be used in social services. For example, bus service operators might get a vision into time delays in bus services by processing and mining public bus performance data. Then, making ameliorative steps (e.g., adding more buses, rerouting some bus routes, etc.) results in improving the feeling of the passenger. We provide a Bayesian framework, which is applied on big data obtained from transportation system. Specifically, a number of Bayesian networks have been used in our framework to predict whether a bus will arrive late or early at a specific bus stop. We investigate and establish the optimum network settings and/or parameter permutations for each (bus stop, bus route, arrival time)-triplet. The results demonstrate that the proposed Bayesian framework effectively supports predictive analytics on big transportation data collected from the City of Winnipeg, Manitoba, Canada.",
"fno": "09927788",
"keywords": [
"Bayes Methods",
"Belief Networks",
"Big Data",
"Data Analysis",
"Data Mining",
"Traffic Information Systems",
"Transportation",
"Arrival Time",
"Bayesian Network Framework",
"Big Transportation Data",
"Bus Route",
"Bus Service Operators",
"Bus Stop",
"Open Big Data",
"Open Data Pioneers",
"Predictive Big Data Analytics",
"Public Bus Performance Data Mining",
"Specific Bus Stop",
"Transportation Sector",
"Delay Effects",
"Urban Areas",
"Government",
"Transportation",
"Big Data",
"Data Systems",
"Bayes Methods",
"Big Data",
"Open Big Data",
"Big Data Management",
"Big Data Analytics",
"Big Data Applications",
"Big Data Systems"
],
"authors": [
{
"affiliation": "University of Calabria,iDEA Lab,Rende,Italy",
"fullName": "Alfredo Cuzzocrea",
"givenName": "Alfredo",
"surname": "Cuzzocrea",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada",
"fullName": "Carson K. Leung",
"givenName": "Carson K.",
"surname": "Leung",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Calabria,iDEA Lab,Rende,Italy",
"fullName": "Mojtaba Hajian",
"givenName": "Mojtaba",
"surname": "Hajian",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada",
"fullName": "Marshall D. Jackson",
"givenName": "Marshall D.",
"surname": "Jackson",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "dasc-picom-cbdcom-cyberscitech",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-09-01T00:00:00",
"pubType": "proceedings",
"pages": "1-8",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-6297-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09927803",
"articleId": "1J4CkbTsize",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09927995",
"articleId": "1J4CyoRPgPK",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/big-data/2016/9005/0/07840845",
"title": "Crowdsensing and analyzing micro-event tweets for public transportation insights",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2016/07840845/12OmNCdk2Pp",
"parentPublication": {
"id": "proceedings/big-data/2016/9005/0",
"title": "2016 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcomp/2016/0898/0/07501714",
"title": "Real-Time and Predictive Analytics for Smart Public Transportation Decision Support System",
"doi": null,
"abstractUrl": "/proceedings-article/smartcomp/2016/07501714/12OmNrJiCWj",
"parentPublication": {
"id": "proceedings/smartcomp/2016/0898/0",
"title": "2016 IEEE International Conference on Smart Computing (SMARTCOMP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnp/2017/6501/0/08117593",
"title": "Analyzing public transportation mobility data for networking purposes",
"doi": null,
"abstractUrl": "/proceedings-article/icnp/2017/08117593/12OmNzFdt4T",
"parentPublication": {
"id": "proceedings/icnp/2017/6501/0",
"title": "2017 IEEE 25th International Conference on Network Protocols (ICNP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/su/2017/04/07984819",
"title": "Predicting Transportation Carbon Emission with Urban Big Data",
"doi": null,
"abstractUrl": "/journal/su/2017/04/07984819/13rRUwjXZQE",
"parentPublication": {
"id": "trans/su",
"title": "IEEE Transactions on Sustainable Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iri/2022/6603/0/660300a055",
"title": "A Regression-Based Data Science Solution for Transportation Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/iri/2022/660300a055/1GvdNCLl22Q",
"parentPublication": {
"id": "proceedings/iri/2022/6603/0",
"title": "2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2022/8045/0/10020748",
"title": "Analysis of route efficiency in city bus transportation vulnerable areas",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2022/10020748/1KfQzcEie6A",
"parentPublication": {
"id": "proceedings/big-data/2022/8045/0",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigdatase/2022/6523/0/652300a021",
"title": "A Big Data Science Solution for Transportation Analytics with Meteorological Data",
"doi": null,
"abstractUrl": "/proceedings-article/bigdatase/2022/652300a021/1Lu4gJzX9K0",
"parentPublication": {
"id": "proceedings/bigdatase/2022/6523/0",
"title": "2022 IEEE 16th International Conference on Big Data Science and Engineering (BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csci/2019/5584/0/558400b281",
"title": "Demystifying Transportation Using Big Data Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/csci/2019/558400b281/1jdE0CR85vq",
"parentPublication": {
"id": "proceedings/csci/2019/5584/0",
"title": "2019 International Conference on Computational Science and Computational Intelligence (CSCI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigcomp/2021/8924/0/892400a260",
"title": "Conceptual Modeling and Smart Computing for Big Transportation Data",
"doi": null,
"abstractUrl": "/proceedings-article/bigcomp/2021/892400a260/1rRccTSjMXe",
"parentPublication": {
"id": "proceedings/bigcomp/2021/8924/0",
"title": "2021 IEEE International Conference on Big Data and Smart Computing (BigComp)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2021/2463/0/246300a332",
"title": "A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2021/246300a332/1wLcno88tiM",
"parentPublication": {
"id": "proceedings/compsac/2021/2463/0",
"title": "2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1hJrHq07uw0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"acronym": "big-data",
"groupId": "1802964",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1hJs1ghBBWU",
"doi": "10.1109/BigData47090.2019.9006288",
"title": "Discovering High Demanding Bus Routes Using Farecard Data",
"normalizedTitle": "Discovering High Demanding Bus Routes Using Farecard Data",
"abstract": "Having an effective public transport system is one of the most important factors to improve the quality of urban residents' life and to bring a sustainable development in urban areas. In this paper, we detect high demanding region pairs with inconvenient bus route design, such as taking circuitous routes or having too many stops, etc., to improve the utilization efficiency of public transportation services, according to people's real demands. The detected results consist of 1) region pairs with significant bus route design problems, and 2) the linking structure as well as the correlation among these region pairs. We compare these results to some existing and future urban planning, such as MRT lines, and study whether this planning reduces the current problems.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Having an effective public transport system is one of the most important factors to improve the quality of urban residents' life and to bring a sustainable development in urban areas. In this paper, we detect high demanding region pairs with inconvenient bus route design, such as taking circuitous routes or having too many stops, etc., to improve the utilization efficiency of public transportation services, according to people's real demands. The detected results consist of 1) region pairs with significant bus route design problems, and 2) the linking structure as well as the correlation among these region pairs. We compare these results to some existing and future urban planning, such as MRT lines, and study whether this planning reduces the current problems.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Having an effective public transport system is one of the most important factors to improve the quality of urban residents' life and to bring a sustainable development in urban areas. In this paper, we detect high demanding region pairs with inconvenient bus route design, such as taking circuitous routes or having too many stops, etc., to improve the utilization efficiency of public transportation services, according to people's real demands. The detected results consist of 1) region pairs with significant bus route design problems, and 2) the linking structure as well as the correlation among these region pairs. We compare these results to some existing and future urban planning, such as MRT lines, and study whether this planning reduces the current problems.",
"fno": "09006288",
"keywords": [
"Big Data",
"Data Analysis",
"Public Transport",
"Sustainable Development",
"Town And Country Planning",
"Traffic Engineering Computing",
"Vehicle Routing",
"High Demanding Bus Routes",
"Farecard Data",
"Public Transport System",
"Sustainable Development",
"Urban Areas",
"High Demanding Region Pairs",
"Public Transportation Services",
"Bus Route Design",
"Urban Planning",
"Big Data",
"Public Transportation",
"Heuristic Algorithms",
"Bars",
"Merging",
"Urban Planning",
"Big Data",
"Urban Computing",
"Bus Routing",
"Big Data",
"Human Mobility"
],
"authors": [
{
"affiliation": "Institute of Information Systems and Applications National Tsing Hua University,Hsinchu,Taiwan",
"fullName": "Hongzhi Yang",
"givenName": "Hongzhi",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "China Medical University,Center for Technology in Education,Taichung,Taiwan",
"fullName": "Chieh-Feng Chiang",
"givenName": "Chieh-Feng",
"surname": "Chiang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Asia University,Department of Computer Science and Information Engineering,Taichung,Taiwan",
"fullName": "Chen Arbee L.P.",
"givenName": "Chen",
"surname": "Arbee L.P.",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "big-data",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-12-01T00:00:00",
"pubType": "proceedings",
"pages": "3832-3837",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-0858-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09005655",
"articleId": "1hJs3Y2fSWQ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09006063",
"articleId": "1hJs2cjrjCE",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fcst/2015/9295/0/9295a248",
"title": "Dynamic Location Optimization Methodology for Urban Transfer Centers",
"doi": null,
"abstractUrl": "/proceedings-article/fcst/2015/9295a248/12OmNApu5qx",
"parentPublication": {
"id": "proceedings/fcst/2015/9295/0",
"title": "2015 Ninth International Conference on Frontier of Computer Science and Technology (FCST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/bd/2017/02/07727980",
"title": "Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport",
"doi": null,
"abstractUrl": "/journal/bd/2017/02/07727980/13rRUxDqSap",
"parentPublication": {
"id": "trans/bd",
"title": "IEEE Transactions on Big Data",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hase/2019/8540/0/854000a009",
"title": "Towards an Efficient Cyber-Physical System for First-Mile Taxi Transit in Urban Complex",
"doi": null,
"abstractUrl": "/proceedings-article/hase/2019/854000a009/18IoXQezeA8",
"parentPublication": {
"id": "proceedings/hase/2019/8540/0",
"title": "2019 IEEE 19th International Symposium on High Assurance Systems Engineering (HASE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tm/5555/01/09996155",
"title": "Crowd Bus Sensing: Resolving Conflicts Between the Ground Truth and Map Apps",
"doi": null,
"abstractUrl": "/journal/tm/5555/01/09996155/1JilUOEW14k",
"parentPublication": {
"id": "trans/tm",
"title": "IEEE Transactions on Mobile Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdmw/2019/4896/0/489600a114",
"title": "Predicting Travel Time of Bus Journeys with Alternative Bus Services",
"doi": null,
"abstractUrl": "/proceedings-article/icdmw/2019/489600a114/1gAwWh9YFlS",
"parentPublication": {
"id": "proceedings/icdmw/2019/4896/0",
"title": "2019 International Conference on Data Mining Workshops (ICDMW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2022/02/09063461",
"title": "Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation",
"doi": null,
"abstractUrl": "/journal/tk/2022/02/09063461/1iUHJ3nGZPO",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icuems/2020/8832/0/09151734",
"title": "Safety Resilience Evaluation of Urban Public Bus Based on Comprehensive Weighting Method and Fuzzy Comprehensive Evaluation Method",
"doi": null,
"abstractUrl": "/proceedings-article/icuems/2020/09151734/1lRlWDyuZrO",
"parentPublication": {
"id": "proceedings/icuems/2020/8832/0",
"title": "2020 International Conference on Urban Engineering and Management Science (ICUEMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icuems/2021/1289/0/128900a193",
"title": "Customized Bus Routes Layout Method Based on Interactive Auxiliary System Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icuems/2021/128900a193/1twf4FjZFvO",
"parentPublication": {
"id": "proceedings/icuems/2021/1289/0",
"title": "2021 2nd International Conference on Urban Engineering and Management Science (ICUEMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mdm/2021/2845/0/284500a233",
"title": "Transitive Halifax: An Activity-Based Search Engine for Bus Routes",
"doi": null,
"abstractUrl": "/proceedings-article/mdm/2021/284500a233/1v2QCmOHbKE",
"parentPublication": {
"id": "proceedings/mdm/2021/2845/0",
"title": "2021 22nd IEEE International Conference on Mobile Data Management (MDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tm/2023/04/09568702",
"title": "Optimizing Cross-Line Dispatching for Minimum Electric Bus Fleet",
"doi": null,
"abstractUrl": "/journal/tm/2023/04/09568702/1xDLFTfJVzW",
"parentPublication": {
"id": "trans/tm",
"title": "IEEE Transactions on Mobile Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1tweYm164bC",
"title": "2021 2nd International Conference on Urban Engineering and Management Science (ICUEMS)",
"acronym": "icuems",
"groupId": "1837364",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1twf4FjZFvO",
"doi": "10.1109/ICUEMS52408.2021.00048",
"title": "Customized Bus Routes Layout Method Based on Interactive Auxiliary System Analysis",
"normalizedTitle": "Customized Bus Routes Layout Method Based on Interactive Auxiliary System Analysis",
"abstract": "Based on Internet technology, urban customized bus can meet the diverse and differentiated travel demands, and to a certain extent, can alleviate urban traffic congestion. Reasonable planning of customized bus routes can improve the travel efficiency of passengers and the operation efficiency of customized bus. This paper systematically reviews the domestic and foreign literature on customized bus route planning. Based on the analysis of the influencing factors on the layout of customized bus routes, this paper uses the interactive auxiliary system analysis method, combined with practical cases, and plans the customized bus routes from four aspects: demand analysis, station coverage analysis, initial optimal path determination and comparative analysis of planning schemes.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Based on Internet technology, urban customized bus can meet the diverse and differentiated travel demands, and to a certain extent, can alleviate urban traffic congestion. Reasonable planning of customized bus routes can improve the travel efficiency of passengers and the operation efficiency of customized bus. This paper systematically reviews the domestic and foreign literature on customized bus route planning. Based on the analysis of the influencing factors on the layout of customized bus routes, this paper uses the interactive auxiliary system analysis method, combined with practical cases, and plans the customized bus routes from four aspects: demand analysis, station coverage analysis, initial optimal path determination and comparative analysis of planning schemes.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Based on Internet technology, urban customized bus can meet the diverse and differentiated travel demands, and to a certain extent, can alleviate urban traffic congestion. Reasonable planning of customized bus routes can improve the travel efficiency of passengers and the operation efficiency of customized bus. This paper systematically reviews the domestic and foreign literature on customized bus route planning. Based on the analysis of the influencing factors on the layout of customized bus routes, this paper uses the interactive auxiliary system analysis method, combined with practical cases, and plans the customized bus routes from four aspects: demand analysis, station coverage analysis, initial optimal path determination and comparative analysis of planning schemes.",
"fno": "128900a193",
"keywords": [
"Interactive Systems",
"Internet",
"Public Transport",
"Road Traffic",
"Internet Technology",
"Interactive Auxiliary System Analysis Method",
"Customized Bus Route Planning",
"Differentiated Travel Demands",
"Diverse Travel Demands",
"Urban Customized Bus",
"Customized Bus Routes Layout",
"Roads",
"Urban Areas",
"Layout",
"Information Services",
"Stability Analysis",
"Planning",
"Internet",
"Customized Bus",
"Layout Of Routes",
"Interactive Auxiliary System",
"Travel Demand"
],
"authors": [
{
"affiliation": "China Academy of Transportation Sciences,Beijing,China,100029",
"fullName": "Zhichao Sun",
"givenName": "Zhichao",
"surname": "Sun",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "China Academy of Transportation Sciences,Key Laboratory of Advanced Public Transportation Science,Beijing,China,100029",
"fullName": "Kang Zhou",
"givenName": "Kang",
"surname": "Zhou",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "China Academy of Transportation Sciences,Key Laboratory of Advanced Public Transportation Science,Beijing,China,100029",
"fullName": "Xinzheng Yang",
"givenName": "Xinzheng",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "China Academy of Transportation Sciences,Key Laboratory of Advanced Public Transportation Science,Beijing,China,100029",
"fullName": "Xiao Peng",
"givenName": "Xiao",
"surname": "Peng",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icuems",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-01-01T00:00:00",
"pubType": "proceedings",
"pages": "193-197",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-1289-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "128900a189",
"articleId": "1tweZwBAbuw",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "128900a198",
"articleId": "1twf5iUbw7C",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cyberc/2016/5154/0/07864241",
"title": "Research on Multi-Objective Bus Route Planning Model Based on Taxi GPS Data",
"doi": null,
"abstractUrl": "/proceedings-article/cyberc/2016/07864241/12OmNBTs7Gw",
"parentPublication": {
"id": "proceedings/cyberc/2016/5154/0",
"title": "2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ewdts/2017/3299/0/08110089",
"title": "Mechatronic intelligent bus control system",
"doi": null,
"abstractUrl": "/proceedings-article/ewdts/2017/08110089/12OmNvzJG68",
"parentPublication": {
"id": "proceedings/ewdts/2017/3299/0",
"title": "2017 IEEE East-West Design & Test Symposium (EWDTS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2017/10/07962258",
"title": "Efficient Retrieval of Bounded-Cost Informative Routes",
"doi": null,
"abstractUrl": "/journal/tk/2017/10/07962258/13rRUwjoNxB",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tm/5555/01/09996155",
"title": "Crowd Bus Sensing: Resolving Conflicts Between the Ground Truth and Map Apps",
"doi": null,
"abstractUrl": "/journal/tm/5555/01/09996155/1JilUOEW14k",
"parentPublication": {
"id": "trans/tm",
"title": "IEEE Transactions on Mobile Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2022/8045/0/10020748",
"title": "Analysis of route efficiency in city bus transportation vulnerable areas",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2022/10020748/1KfQzcEie6A",
"parentPublication": {
"id": "proceedings/big-data/2022/8045/0",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/3cbit/2022/9225/0/922500a174",
"title": "Evaluation of Bus Operation Efficiency Based on Data Acquisition and CCR Model-Take Xi'an City As An Example",
"doi": null,
"abstractUrl": "/proceedings-article/3cbit/2022/922500a174/1La4RVui16o",
"parentPublication": {
"id": "proceedings/3cbit/2022/9225/0",
"title": "2022 International Conference on Cloud Computing, Big Data and Internet of Things (3CBIT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/clei/2018/0437/0/043700a436",
"title": "A Method to Suggest Alternative Routes Based on Analysis of Automobiles' Trajectories",
"doi": null,
"abstractUrl": "/proceedings-article/clei/2018/043700a436/1cdP4Fk7eyA",
"parentPublication": {
"id": "proceedings/clei/2018/0437/0",
"title": "2018 XLIV Latin American Computer Conference (CLEI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006288",
"title": "Discovering High Demanding Bus Routes Using Farecard Data",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006288/1hJs1ghBBWU",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222274",
"title": "Towards Better Bus Networks: A Visual Analytics Approach",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222274/1nTqB0SXkwE",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icuems/2021/1289/0/128900a005",
"title": "Research on Evaluation Index System of Urban Bus and Trolleybus Line Network",
"doi": null,
"abstractUrl": "/proceedings-article/icuems/2021/128900a005/1twf52km080",
"parentPublication": {
"id": "proceedings/icuems/2021/1289/0",
"title": "2021 2nd International Conference on Urban Engineering and Management Science (ICUEMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1wLcd132uKA",
"title": "2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)",
"acronym": "compsac",
"groupId": "1000143",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1wLcno88tiM",
"doi": "10.1109/COMPSAC51774.2021.00054",
"title": "A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data",
"normalizedTitle": "A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data",
"abstract": "In the current era of big data, huge volumes of valuable data can be easily generated and collected at a rapid velocity from a wide variety of rich data sources. In recent years, the initiates of open data also led to the willingness of many government, researchers, and organizations to share their data and make them publicly accessible. An example of open big data is transportation data such as public bus performance data. Analyzing these open big data can be for social good. For instance, by analyzing and mining the public bus performance data, the bus service providers could get an insight on the on-time performance or delay in bus services. By taking appropriate actions (e.g., adding more buses, rerouting some buses routes, etc.) could enhance rider experience. In this paper, we present a Bayesian framework for supporting predictive analytics over big transportation data. Specifically, our framework consists of several Bayesian networks to predict whether a bus arrive late than its scheduled time at a given bus stop. We analyze and determine the network configurations and/or parameter permutation to produce the best result for each (bus stop, bus route, arrival time)-triplet. Evaluation on an open big data for public transit bus from a North American city shows the effectiveness and practicality of our Bayesian framework in supporting predictive analytics on big open data for transportation analytics.",
"abstracts": [
{
"abstractType": "Regular",
"content": "In the current era of big data, huge volumes of valuable data can be easily generated and collected at a rapid velocity from a wide variety of rich data sources. In recent years, the initiates of open data also led to the willingness of many government, researchers, and organizations to share their data and make them publicly accessible. An example of open big data is transportation data such as public bus performance data. Analyzing these open big data can be for social good. For instance, by analyzing and mining the public bus performance data, the bus service providers could get an insight on the on-time performance or delay in bus services. By taking appropriate actions (e.g., adding more buses, rerouting some buses routes, etc.) could enhance rider experience. In this paper, we present a Bayesian framework for supporting predictive analytics over big transportation data. Specifically, our framework consists of several Bayesian networks to predict whether a bus arrive late than its scheduled time at a given bus stop. We analyze and determine the network configurations and/or parameter permutation to produce the best result for each (bus stop, bus route, arrival time)-triplet. Evaluation on an open big data for public transit bus from a North American city shows the effectiveness and practicality of our Bayesian framework in supporting predictive analytics on big open data for transportation analytics.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "In the current era of big data, huge volumes of valuable data can be easily generated and collected at a rapid velocity from a wide variety of rich data sources. In recent years, the initiates of open data also led to the willingness of many government, researchers, and organizations to share their data and make them publicly accessible. An example of open big data is transportation data such as public bus performance data. Analyzing these open big data can be for social good. For instance, by analyzing and mining the public bus performance data, the bus service providers could get an insight on the on-time performance or delay in bus services. By taking appropriate actions (e.g., adding more buses, rerouting some buses routes, etc.) could enhance rider experience. In this paper, we present a Bayesian framework for supporting predictive analytics over big transportation data. Specifically, our framework consists of several Bayesian networks to predict whether a bus arrive late than its scheduled time at a given bus stop. We analyze and determine the network configurations and/or parameter permutation to produce the best result for each (bus stop, bus route, arrival time)-triplet. Evaluation on an open big data for public transit bus from a North American city shows the effectiveness and practicality of our Bayesian framework in supporting predictive analytics on big open data for transportation analytics.",
"fno": "246300a332",
"keywords": [
"Bayes Methods",
"Belief Networks",
"Big Data",
"Data Analysis",
"Data Mining",
"Scheduling",
"Traffic Engineering Computing",
"Traffic Information Systems",
"Transportation",
"Bayesian Framework",
"Predictive Analytics",
"Big Transportation Data",
"Open Big Data",
"Bus Service Providers",
"Public Transit Bus",
"Public Bus Performance Data Mining",
"Transportation Analytics",
"Correlation",
"Urban Areas",
"Government",
"Transportation",
"Big Data",
"Bayes Methods",
"Delays",
"Data Science",
"Data Analytics",
"Predictive Analytics",
"Transportation Analytics",
"Machine Learning",
"Bayesian Networks",
"Big Data",
"Open Data"
],
"authors": [
{
"affiliation": "University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada",
"fullName": "Marshall D. Jackson",
"givenName": "Marshall D.",
"surname": "Jackson",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada",
"fullName": "Carson K. Leung",
"givenName": "Carson K.",
"surname": "Leung",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada",
"fullName": "M. Diarra B. Mbacke",
"givenName": "M. Diarra B.",
"surname": "Mbacke",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "iDEA Lab, University of Calabria,Rende,Italy",
"fullName": "Alfredo Cuzzocrea",
"givenName": "Alfredo",
"surname": "Cuzzocrea",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "compsac",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-07-01T00:00:00",
"pubType": "proceedings",
"pages": "332-337",
"year": "2021",
"issn": "0730-3157",
"isbn": "978-1-6654-2463-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "246300a324",
"articleId": "1wLcMrJ1llK",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "246300a338",
"articleId": "1wLcqyENEOc",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/big-data/2016/9005/0/07840845",
"title": "Crowdsensing and analyzing micro-event tweets for public transportation insights",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2016/07840845/12OmNCdk2Pp",
"parentPublication": {
"id": "proceedings/big-data/2016/9005/0",
"title": "2016 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcomp/2016/0898/0/07501714",
"title": "Real-Time and Predictive Analytics for Smart Public Transportation Decision Support System",
"doi": null,
"abstractUrl": "/proceedings-article/smartcomp/2016/07501714/12OmNrJiCWj",
"parentPublication": {
"id": "proceedings/smartcomp/2016/0898/0",
"title": "2016 IEEE International Conference on Smart Computing (SMARTCOMP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2021/3902/0/09671997",
"title": "Big Data Analytics Framework for Predictive Analytics using Public Data with Privacy Preserving",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2021/09671997/1A8gG3Hv4JO",
"parentPublication": {
"id": "proceedings/big-data/2021/3902/0",
"title": "2021 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iri/2022/6603/0/660300a055",
"title": "A Regression-Based Data Science Solution for Transportation Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/iri/2022/660300a055/1GvdNCLl22Q",
"parentPublication": {
"id": "proceedings/iri/2022/6603/0",
"title": "2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dasc-picom-cbdcom-cyberscitech/2022/6297/0/09927788",
"title": "Effectively and Efficiently Supporting Predictive Big Data Analytics over Open Big Data in the Transportation Sector: A Bayesian Network Framework",
"doi": null,
"abstractUrl": "/proceedings-article/dasc-picom-cbdcom-cyberscitech/2022/09927788/1J4Cti1Nk8U",
"parentPublication": {
"id": "proceedings/dasc-picom-cbdcom-cyberscitech/2022/6297/0",
"title": "2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigdatase/2022/6523/0/652300a021",
"title": "A Big Data Science Solution for Transportation Analytics with Meteorological Data",
"doi": null,
"abstractUrl": "/proceedings-article/bigdatase/2022/652300a021/1Lu4gJzX9K0",
"parentPublication": {
"id": "proceedings/bigdatase/2022/6523/0",
"title": "2022 IEEE 16th International Conference on Big Data Science and Engineering (BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icess/2019/2437/0/08782530",
"title": "From Rail to Railless: Retrofitting Servicing Buses for Safe Autonomous Public Transportation",
"doi": null,
"abstractUrl": "/proceedings-article/icess/2019/08782530/1c8P8sguMOk",
"parentPublication": {
"id": "proceedings/icess/2019/2437/0",
"title": "2019 IEEE International Conference on Embedded Software and Systems (ICESS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csci/2019/5584/0/558400b281",
"title": "Demystifying Transportation Using Big Data Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/csci/2019/558400b281/1jdE0CR85vq",
"parentPublication": {
"id": "proceedings/csci/2019/5584/0",
"title": "2019 International Conference on Computational Science and Computational Intelligence (CSCI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bigcomp/2021/8924/0/892400a260",
"title": "Conceptual Modeling and Smart Computing for Big Transportation Data",
"doi": null,
"abstractUrl": "/proceedings-article/bigcomp/2021/892400a260/1rRccTSjMXe",
"parentPublication": {
"id": "proceedings/bigcomp/2021/8924/0",
"title": "2021 IEEE International Conference on Big Data and Smart Computing (BigComp)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2021/2463/0/246300b723",
"title": "Distributed Big Data Computing for Supporting Predictive Analytics of Service Requests",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2021/246300b723/1wLcFbiaj8k",
"parentPublication": {
"id": "proceedings/compsac/2021/2463/0",
"title": "2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": [
{
"id": "1xwfdu74gCY",
"videoExt": "mp4",
"videoType": {
"featured": false,
"recommended": false,
"sponsored": false,
"__typename": "VideoTypesType"
},
"article": {
"id": "1wLcno88tiM",
"fno": "246300a332",
"issueNum": null,
"pubType": "proceedings",
"volume": "0",
"year": "2021",
"idPrefix": "compsac",
"doi": "10.1109/COMPSAC51774.2021.00054",
"title": "A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data",
"__typename": "ArticleType"
},
"channel": {
"id": "1xvX5qkErBu",
"title": "COMPSAC 2021",
"status": "1",
"featured": false,
"defaultVideoId": "1xvX5cz6Dtu",
"category": {
"id": "1xvX5lT1WiQ",
"title": "Proceeding",
"type": "proceeding",
"__typename": "VideoCategoryType"
},
"__typename": "VideoChannelType"
},
"year": "2021",
"title": "A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data",
"description": "In the current era of big data, huge volumes of valuable data can be easily generated and collected at a rapid velocity from a wide variety of rich data sources. In recent years, the initiates of open data also led to the willingness of many government, researchers, and organizations to share their data and make them publicly accessible. An example of open big data is transportation data such as public bus performance data. Analyzing these open big data can be for social good. For instance, by analyzing and mining the public bus performance data, the bus service providers could get an insight on the on-time performance or delay in bus services. By taking appropriate actions (e.g., adding more buses, rerouting some buses routes, etc.) could enhance rider experience. In this paper, we present a Bayesian framework for supporting predictive analytics over big transportation data. Specifically, our framework consists of several Bayesian networks to predict whether a bus arrive late than its scheduled time at a given bus stop. We analyze and determine the network configurations and/or parameter permutation to produce the best result for each (bus stop, bus route, arrival time)-triplet. Evaluation on an open big data for public transit bus from a North American city shows the effectiveness and practicality of our Bayesian framework in supporting predictive analytics on big open data for transportation analytics.",
"keywords": [
{
"id": "1xvXbAOQCpq",
"title": "Urban areas",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xvYc5H3f7q",
"title": "Machine Learning",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xvZxj4YCYw",
"title": "big data",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xw1gcHDvNK",
"title": "Correlation",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xw2StB0Mp2",
"title": "open data",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xw9B132G2s",
"title": "Delays",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xw9z087s08",
"title": "Government",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xwe8LEW5cQ",
"title": "data analytics",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xwe96j6ZPO",
"title": "Bayesian networks",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xwfdCgkg9O",
"title": "Transportation",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xwfdEIbEKk",
"title": "Bayes methods",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xwfdGLV9hm",
"title": "data science",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xwfdIZj0eA",
"title": "predictive analytics",
"status": "1",
"__typename": "VideoKeywordsType"
},
{
"id": "1xwfdLfffmo",
"title": "transportation analytics",
"status": "1",
"__typename": "VideoKeywordsType"
}
],
"speakers": [
{
"firstName": "Marshall D.",
"lastName": "Jackson",
"affiliation": "University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada",
"__typename": "SpeakerType"
},
{
"firstName": "Carson K.",
"lastName": "Leung",
"affiliation": "University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada",
"__typename": "SpeakerType"
},
{
"firstName": "M. Diarra B.",
"lastName": "Mbacke",
"affiliation": "University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada",
"__typename": "SpeakerType"
},
{
"firstName": "Alfredo",
"lastName": "Cuzzocrea",
"affiliation": "iDEA Lab, University of Calabria,Rende,Italy",
"__typename": "SpeakerType"
}
],
"created": "2021-10-08T00:00:00",
"updated": "2021-10-08T00:00:00",
"imageThumbnailUrl": "thumbnails/1xwfdu74gCY.jpeg",
"runningTime": "00:11:17",
"aspectRatio": "",
"metrics": {
"views": "8",
"likes": "0",
"__typename": "VideoMetricsType"
},
"notShowInVideoLib": false,
"__typename": "VideoType"
}
]
}
|
{
"proceeding": {
"id": "1IbRJ6eqDCw",
"title": "2021 Smart City Challenges & Outcomes for Urban Transformation (SCOUT)",
"acronym": "scout",
"groupId": "9939149",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1IbRK7kuihG",
"doi": "10.1109/SCOUT54618.2021.00029",
"title": "Construction of Urban Traffic Spatial Information Database",
"normalizedTitle": "Construction of Urban Traffic Spatial Information Database",
"abstract": "With the continuous expansion of urban scale, urban traffic congestion has become an important factor restricting urban development. How to reduce the cost of travel time and realize the speed of urban traffic has become one of the important issues of urban traffic management department and the primary consideration of people's travel. When traveling, people often use a variety of path query software to query the optimal path to the destination, which are based on good road network data. Taking Xintai city as an example, this paper discusses the establishment of xintai traffic spatial database, and studies the whole process of road network data acquisition, data editing and processing, data storage and data release. On the basis of analyzing the purpose and significance of building traffic spatial data database, this paper carries out demand analysis, user analysis, feasibility analysis and system hardware and software configuration, and discusses the process of building database in detail. According to the classification and classification of urban roads in Xintai city, combined with the current situation of traffic data in the research area, various road network data at all levels were collected and ArcMap was used for data processing, editing, supplement and topology inspection. The traffic spatial database of Xintai city was established through ArcCatalog. Publish data on ArcGIS Online and ArcGIS Server to realize data sharing.",
"abstracts": [
{
"abstractType": "Regular",
"content": "With the continuous expansion of urban scale, urban traffic congestion has become an important factor restricting urban development. How to reduce the cost of travel time and realize the speed of urban traffic has become one of the important issues of urban traffic management department and the primary consideration of people's travel. When traveling, people often use a variety of path query software to query the optimal path to the destination, which are based on good road network data. Taking Xintai city as an example, this paper discusses the establishment of xintai traffic spatial database, and studies the whole process of road network data acquisition, data editing and processing, data storage and data release. On the basis of analyzing the purpose and significance of building traffic spatial data database, this paper carries out demand analysis, user analysis, feasibility analysis and system hardware and software configuration, and discusses the process of building database in detail. According to the classification and classification of urban roads in Xintai city, combined with the current situation of traffic data in the research area, various road network data at all levels were collected and ArcMap was used for data processing, editing, supplement and topology inspection. The traffic spatial database of Xintai city was established through ArcCatalog. Publish data on ArcGIS Online and ArcGIS Server to realize data sharing.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "With the continuous expansion of urban scale, urban traffic congestion has become an important factor restricting urban development. How to reduce the cost of travel time and realize the speed of urban traffic has become one of the important issues of urban traffic management department and the primary consideration of people's travel. When traveling, people often use a variety of path query software to query the optimal path to the destination, which are based on good road network data. Taking Xintai city as an example, this paper discusses the establishment of xintai traffic spatial database, and studies the whole process of road network data acquisition, data editing and processing, data storage and data release. On the basis of analyzing the purpose and significance of building traffic spatial data database, this paper carries out demand analysis, user analysis, feasibility analysis and system hardware and software configuration, and discusses the process of building database in detail. According to the classification and classification of urban roads in Xintai city, combined with the current situation of traffic data in the research area, various road network data at all levels were collected and ArcMap was used for data processing, editing, supplement and topology inspection. The traffic spatial database of Xintai city was established through ArcCatalog. Publish data on ArcGIS Online and ArcGIS Server to realize data sharing.",
"fno": "076700a090",
"keywords": [
"Data Acquisition",
"Geographic Information Systems",
"Road Traffic",
"Traffic Engineering Computing",
"Visual Databases",
"Xintai City",
"Xintai Traffic Spatial Database",
"Road Network Data Acquisition",
"Data Editing",
"Data Storage",
"Data Release",
"Traffic Spatial Data Database",
"Feasibility Analysis",
"System Hardware",
"Software Configuration",
"Urban Roads",
"Traffic Data",
"Topology Inspection",
"Publish Data",
"Data Sharing",
"Urban Traffic Spatial Information Database",
"Continuous Expansion",
"Urban Scale",
"Urban Traffic Congestion",
"Urban Development",
"Travel Time",
"Urban Traffic Management Department",
"Traveling",
"Path Query Software",
"Optimal Path",
"Good Road Network Data",
"Three Dimensional Displays",
"Network Topology",
"Roads",
"Urban Areas",
"Data Acquisition",
"Inspection",
"Spatial Databases",
"Traffic Spatial Information",
"Arc GIS",
"Topology"
],
"authors": [
{
"affiliation": "School of Transportation and Civil, Shandong Jiaotong University,Jinan,China",
"fullName": "Yanzhen Yang",
"givenName": "Yanzhen",
"surname": "Yang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "School of Transportation and Civil, Shandong Jiaotong University,Jinan,China",
"fullName": "Xianglong Li",
"givenName": "Xianglong",
"surname": "Li",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "scout",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-12-01T00:00:00",
"pubType": "proceedings",
"pages": "90-94",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-0767-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "076700a085",
"articleId": "1IbRNrV3NGU",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "076700a095",
"articleId": "1IbRM3uLTj2",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cimca/2008/3514/0/3514b095",
"title": "Construction and Implementation of Spatial Analysis Model Based on Geographic Information System (GIS)--A Case Study of Simulation for Urban Thermal Field",
"doi": null,
"abstractUrl": "/proceedings-article/cimca/2008/3514b095/12OmNwqx49z",
"parentPublication": {
"id": "proceedings/cimca/2008/3514/0",
"title": "2008 International Conference on Computational Intelligence for Modelling Control & Automation (CIMCA 2008)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/bd/2017/02/07809105",
"title": "Effective Urban Structure Inference from Traffic Flow Dynamics",
"doi": null,
"abstractUrl": "/journal/bd/2017/02/07809105/13rRUwfqpFE",
"parentPublication": {
"id": "trans/bd",
"title": "IEEE Transactions on Big Data",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icdacai/2022/5470/0/547000a303",
"title": "Analysis of the Mechanism of Urban Road Passenger Traffic in the Greater Bay Area Based on the Spatial Durbin Model",
"doi": null,
"abstractUrl": "/proceedings-article/icdacai/2022/547000a303/1J7WO2vee8o",
"parentPublication": {
"id": "proceedings/icdacai/2022/5470/0",
"title": "2022 International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2019/6934/0/08909555",
"title": "Implementing an Urban Dynamic Traffic Model",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2019/08909555/1febnlRP2DK",
"parentPublication": {
"id": "proceedings/wi/2019/6934/0",
"title": "2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iccea/2020/5904/0/09103865",
"title": "Application of Intelligent Technology in Urban Traffic Congestion",
"doi": null,
"abstractUrl": "/proceedings-article/iccea/2020/09103865/1kesx1zNJza",
"parentPublication": {
"id": "proceedings/iccea/2020/5904/0",
"title": "2020 International Conference on Computer Engineering and Application (ICCEA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icuems/2020/8832/0/09151775",
"title": "The Formation Mechanism and Characteristics of Urban Multimodal Traffic System Based on The Interaction Between Urban Spatial Mode and Traffic Development",
"doi": null,
"abstractUrl": "/proceedings-article/icuems/2020/09151775/1lRlPsFXo0E",
"parentPublication": {
"id": "proceedings/icuems/2020/8832/0",
"title": "2020 International Conference on Urban Engineering and Management Science (ICUEMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icuems/2020/8832/0/09151487",
"title": "Urban Street Landscape Analysis Based on Street View Image Recognition",
"doi": null,
"abstractUrl": "/proceedings-article/icuems/2020/09151487/1lRlQi3DwOI",
"parentPublication": {
"id": "proceedings/icuems/2020/8832/0",
"title": "2020 International Conference on Urban Engineering and Management Science (ICUEMS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dcoss/2020/4351/0/09183409",
"title": "RIDER: Proactive and Reactive Approach for Urban Traffic Management in Vehicular Networks",
"doi": null,
"abstractUrl": "/proceedings-article/dcoss/2020/09183409/1mLMsSx54fC",
"parentPublication": {
"id": "proceedings/dcoss/2020/4351/0",
"title": "2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icectt/2020/9928/0/992800a457",
"title": "Research on the Complete Design, Construction and Management of Urban Road in Dalian City under the Concept of "People-Oriented Traffic"",
"doi": null,
"abstractUrl": "/proceedings-article/icectt/2020/992800a457/1oa5gAuGJbi",
"parentPublication": {
"id": "proceedings/icectt/2020/9928/0",
"title": "2020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity/2020/7649/0/764900b104",
"title": "RONIN: a SUMO Interoperable Mesoscopic Urban Traffic Simulator",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity/2020/764900b104/1t7mQqrHmiQ",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity/2020/7649/0",
"title": "2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1KBdPyLx2W4",
"title": "2022 International Conference on Wearables, Sports and Lifestyle Management (WSLM)",
"acronym": "wslm",
"groupId": "1848892",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1KBdQ8fXvgc",
"doi": "10.1109/WSLM54683.2022.00025",
"title": "Urban functional district Identification based on OSM Road Network and POI data: A case study of Changsha City center",
"normalizedTitle": "Urban functional district Identification based on OSM Road Network and POI data: A case study of Changsha City center",
"abstract": "Due to the distribution space and corresponding differentiation of various functional activities in the city, in order to accurately identify the urban functional land, understand the urban internal spatial structure, and provide decision-making basis for urban planning and management. In this paper, the study area is irregularly segmented based on the road network, and the kernel density of various POI data is weighted by the geographical entity's land area and public awareness, so as to establish a quantitative identification method for urban functional area, and output the identification results of urban functional area for analysis and research. The results show that: (1) the functional distribution of urban blocks shows obvious centripetal agglomeration characteristics. From the city center to the periphery, the functional complexity of urban blocks is reduced and the agglomeration is weakened. Tianxin district, Furong District and Yuhua district are evenly distributed, which is favorable for urban development. (2) The main urban area of Changsha has a large number of mixed-use land with the combination of the two functions, and the mixed-use land with commercial land as the dominant function is the largest.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Due to the distribution space and corresponding differentiation of various functional activities in the city, in order to accurately identify the urban functional land, understand the urban internal spatial structure, and provide decision-making basis for urban planning and management. In this paper, the study area is irregularly segmented based on the road network, and the kernel density of various POI data is weighted by the geographical entity's land area and public awareness, so as to establish a quantitative identification method for urban functional area, and output the identification results of urban functional area for analysis and research. The results show that: (1) the functional distribution of urban blocks shows obvious centripetal agglomeration characteristics. From the city center to the periphery, the functional complexity of urban blocks is reduced and the agglomeration is weakened. Tianxin district, Furong District and Yuhua district are evenly distributed, which is favorable for urban development. (2) The main urban area of Changsha has a large number of mixed-use land with the combination of the two functions, and the mixed-use land with commercial land as the dominant function is the largest.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Due to the distribution space and corresponding differentiation of various functional activities in the city, in order to accurately identify the urban functional land, understand the urban internal spatial structure, and provide decision-making basis for urban planning and management. In this paper, the study area is irregularly segmented based on the road network, and the kernel density of various POI data is weighted by the geographical entity's land area and public awareness, so as to establish a quantitative identification method for urban functional area, and output the identification results of urban functional area for analysis and research. The results show that: (1) the functional distribution of urban blocks shows obvious centripetal agglomeration characteristics. From the city center to the periphery, the functional complexity of urban blocks is reduced and the agglomeration is weakened. Tianxin district, Furong District and Yuhua district are evenly distributed, which is favorable for urban development. (2) The main urban area of Changsha has a large number of mixed-use land with the combination of the two functions, and the mixed-use land with commercial land as the dominant function is the largest.",
"fno": "081900a107",
"keywords": [
"Decision Making",
"Geographic Information Systems",
"Land Use Planning",
"Town And Country Planning",
"Traffic Engineering Computing",
"Changsha City Center",
"Dominant Function",
"Functional Activities",
"Functional Complexity",
"Functional Distribution",
"Geographical Entity",
"Mixed Use Land",
"OSM Road Network",
"POI Data",
"Quantitative Identification Method",
"Urban Blocks",
"Urban Development",
"Urban Functional Area",
"Urban Functional District Identification",
"Urban Functional Land",
"Urban Internal Spatial Structure",
"Urban Planning",
"Visualization",
"Roads",
"Wearable Computers",
"Urban Areas",
"Urban Planning",
"Planning",
"Complexity Theory",
"POI Data",
"OSM Road Network",
"Urban Functional Area",
"Changsha City Center"
],
"authors": [
{
"affiliation": "College of Geography and Ocean Sciences, Yanbian University,YanJi,China",
"fullName": "Weitong Ma",
"givenName": "Weitong",
"surname": "Ma",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "College of Geography and Ocean Sciences, Yanbian University,YanJi,China,133300",
"fullName": "Dongfan Piao",
"givenName": "Dongfan",
"surname": "Piao",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "wslm",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-01-01T00:00:00",
"pubType": "proceedings",
"pages": "107-112",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-0819-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "081900a103",
"articleId": "1KBdPSFIWuA",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "081900a115",
"articleId": "1KBdRyDJJjG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icmtma/2017/4868/0/07832269",
"title": "The Development of Public Transit System of Chengdu and Its Inspiration to Changsha",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2017/07832269/12OmNyPQ4H4",
"parentPublication": {
"id": "proceedings/icmtma/2017/4868/0",
"title": "2017 9th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/gcis/2009/3571/4/3571d243",
"title": "An Intelligent Method of Partition of Urban Fringe - A Case Study in Nanjing City",
"doi": null,
"abstractUrl": "/proceedings-article/gcis/2009/3571d243/12OmNyrIaL4",
"parentPublication": {
"id": "proceedings/gcis/2009/3571/4",
"title": "2009 WRI Global Congress on Intelligent Systems",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iiai-aai/2017/0621/0/0621a005",
"title": "Design and Development of a Web Service to Support Vulnerable Road User's Daily Life in Suburban Residential Estates in Hiroshima City",
"doi": null,
"abstractUrl": "/proceedings-article/iiai-aai/2017/0621a005/12OmNz61dum",
"parentPublication": {
"id": "proceedings/iiai-aai/2017/0621/0",
"title": "2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icvris/2018/8031/0/803100a090",
"title": "Analysis on Dynamic Monitoring of Land Use in Chenggong District of Kunming",
"doi": null,
"abstractUrl": "/proceedings-article/icvris/2018/803100a090/17D45WXIkDq",
"parentPublication": {
"id": "proceedings/icvris/2018/8031/0",
"title": "2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icvris/2018/8031/0/803100a111",
"title": "Evaluation of Construction Land Ecological Suitability in Chenggong District of Kunming Based on Big Date",
"doi": null,
"abstractUrl": "/proceedings-article/icvris/2018/803100a111/17D45X0yjSV",
"parentPublication": {
"id": "proceedings/icvris/2018/8031/0",
"title": "2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icceai/2022/6803/0/680300a279",
"title": "Planning and Design of Urban landscape Based on GIS: Taking Dongcheng District of Beijing as an example",
"doi": null,
"abstractUrl": "/proceedings-article/icceai/2022/680300a279/1FUUnZrzVqo",
"parentPublication": {
"id": "proceedings/icceai/2022/6803/0",
"title": "2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnisc/2022/5351/0/535100a818",
"title": "Design and Implementation of County-level Natural Resource Integration Information Platform in Guangxin District of Shangrao City",
"doi": null,
"abstractUrl": "/proceedings-article/icnisc/2022/535100a818/1KYteu6iUgM",
"parentPublication": {
"id": "proceedings/icnisc/2022/5351/0",
"title": "2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isaiam/2022/8541/0/854100a155",
"title": "Analysis of Urban Landscape Change Based on Remote Sensing",
"doi": null,
"abstractUrl": "/proceedings-article/isaiam/2022/854100a155/1MTTca4Izq8",
"parentPublication": {
"id": "proceedings/isaiam/2022/8541/0",
"title": "2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cipae/2020/8223/0/822300a007",
"title": "Discussion on Rural Residential District Planning Education under the Background of Territorial Space Planning",
"doi": null,
"abstractUrl": "/proceedings-article/cipae/2020/822300a007/1rSRjo3kPe0",
"parentPublication": {
"id": "proceedings/cipae/2020/8223/0",
"title": "2020 International Conference on Computers, Information Processing and Advanced Education (CIPAE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icemme/2020/9144/0/914400a953",
"title": "The Influencing Factors of the Functional Division of Beijing-Tianjin-Hebei Urban Agglomerations Based on the Panel Data Model",
"doi": null,
"abstractUrl": "/proceedings-article/icemme/2020/914400a953/1tV9h26IDAI",
"parentPublication": {
"id": "proceedings/icemme/2020/9144/0",
"title": "2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1oxo8l7SzT2",
"title": "2020 IEEE International Conference on Smart Computing (SMARTCOMP)",
"acronym": "smartcomp",
"groupId": "1804984",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1oxo8AQD6yA",
"doi": "10.1109/SMARTCOMP50058.2020.00073",
"title": "Discovering Multi-density Urban Hotspots in a Smart City",
"normalizedTitle": "Discovering Multi-density Urban Hotspots in a Smart City",
"abstract": "Leveraged by a large-scale diffusion of sensing networks and scanning devices in modern cities, huge volumes of geo-referenced urban data are collected every day. Such amount of information is analyzed to discover data-driven models, which can be exploited to tackle the major issues that cities face, including air pollution, virus diffusion, human mobility, traffic flows. In particular, the detection of city hotspots is becoming a valuable organization technique for framing detailed knowledge of a metropolitan area, providing high-level summaries for spatial datasets, which are valuable for planners, scientists, and policymakers. However, while classic density-based clustering algorithms show to be suitable to discover hotspots characterized by homogeneous density, their application on multi-density data can produce inaccurate results. For such a reason, since metropolitan cities are heavily characterized by variable densities, multi-density clustering seems to be more appropriate to discover city hotspots. This paper presents a study about how density-based clustering algorithms are suitable for discovering urban hotspots in a city, by showing a comparative analysis of single-density and multi-density clustering on both state-of-the-art data and real-world data. The experimental evaluation shows that, in an urban scenario, multi-density clustering achieves higher quality hotspots than a single-density approach.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Leveraged by a large-scale diffusion of sensing networks and scanning devices in modern cities, huge volumes of geo-referenced urban data are collected every day. Such amount of information is analyzed to discover data-driven models, which can be exploited to tackle the major issues that cities face, including air pollution, virus diffusion, human mobility, traffic flows. In particular, the detection of city hotspots is becoming a valuable organization technique for framing detailed knowledge of a metropolitan area, providing high-level summaries for spatial datasets, which are valuable for planners, scientists, and policymakers. However, while classic density-based clustering algorithms show to be suitable to discover hotspots characterized by homogeneous density, their application on multi-density data can produce inaccurate results. For such a reason, since metropolitan cities are heavily characterized by variable densities, multi-density clustering seems to be more appropriate to discover city hotspots. This paper presents a study about how density-based clustering algorithms are suitable for discovering urban hotspots in a city, by showing a comparative analysis of single-density and multi-density clustering on both state-of-the-art data and real-world data. The experimental evaluation shows that, in an urban scenario, multi-density clustering achieves higher quality hotspots than a single-density approach.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Leveraged by a large-scale diffusion of sensing networks and scanning devices in modern cities, huge volumes of geo-referenced urban data are collected every day. Such amount of information is analyzed to discover data-driven models, which can be exploited to tackle the major issues that cities face, including air pollution, virus diffusion, human mobility, traffic flows. In particular, the detection of city hotspots is becoming a valuable organization technique for framing detailed knowledge of a metropolitan area, providing high-level summaries for spatial datasets, which are valuable for planners, scientists, and policymakers. However, while classic density-based clustering algorithms show to be suitable to discover hotspots characterized by homogeneous density, their application on multi-density data can produce inaccurate results. For such a reason, since metropolitan cities are heavily characterized by variable densities, multi-density clustering seems to be more appropriate to discover city hotspots. This paper presents a study about how density-based clustering algorithms are suitable for discovering urban hotspots in a city, by showing a comparative analysis of single-density and multi-density clustering on both state-of-the-art data and real-world data. The experimental evaluation shows that, in an urban scenario, multi-density clustering achieves higher quality hotspots than a single-density approach.",
"fno": "699700a332",
"keywords": [
"Data Analysis",
"Pattern Clustering",
"Smart Cities",
"Town And Country Planning",
"Metropolitan Cities",
"Multidensity Clustering",
"Multidensity Urban Hotspots",
"Smart City",
"Smart Cities",
"Urban Areas",
"Clustering Algorithms",
"Spatial Databases",
"Sensors",
"Task Analysis",
"Viruses Medical",
"Crime Data Analysis",
"Smart City",
"Data Mining"
],
"authors": [
{
"affiliation": "University of Calabria,Italy",
"fullName": "Eugenio Cesario",
"givenName": "Eugenio",
"surname": "Cesario",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Monmouth University,U.S.",
"fullName": "Paschal I. Uchubilo",
"givenName": "Paschal I.",
"surname": "Uchubilo",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "ICAR-CNR,Italy",
"fullName": "Andrea Vinci",
"givenName": "Andrea",
"surname": "Vinci",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Monmouth University,U.S.",
"fullName": "Xiaotian Zhu",
"givenName": "Xiaotian",
"surname": "Zhu",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "smartcomp",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-09-01T00:00:00",
"pubType": "proceedings",
"pages": "332-337",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-6997-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "699700a326",
"articleId": "1oxocZ8uqvC",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "699700a338",
"articleId": "1oxodQfKxC8",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/snpd/2017/5504/0/08022719",
"title": "A novel passenger hotspots searching algorithm for taxis in urban area",
"doi": null,
"abstractUrl": "/proceedings-article/snpd/2017/08022719/12OmNqyUUBz",
"parentPublication": {
"id": "proceedings/snpd/2017/5504/0",
"title": "2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2018/05/mcg2018050036",
"title": "Visualization for Smart City Applications",
"doi": null,
"abstractUrl": "/magazine/cg/2018/05/mcg2018050036/13WBGTItFGW",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2014/12/06875954",
"title": "City Forensics: Using Visual Elements to Predict Non-Visual City Attributes",
"doi": null,
"abstractUrl": "/journal/tg/2014/12/06875954/13rRUwInvB7",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/pc/2017/02/mpc2017020072",
"title": "Bridging the Adoption Gap for Smart City Technologies: An Interview with Rob Kitchin",
"doi": null,
"abstractUrl": "/magazine/pc/2017/02/mpc2017020072/13rRUxlgy94",
"parentPublication": {
"id": "mags/pc",
"title": "IEEE Pervasive Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ismar-adjunct/2022/5365/0/536500a859",
"title": "Data-Driven City Traffic Planning Simulation",
"doi": null,
"abstractUrl": "/proceedings-article/ismar-adjunct/2022/536500a859/1J7W70fyKDS",
"parentPublication": {
"id": "proceedings/ismar-adjunct/2022/5365/0",
"title": "2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icedeg/2019/1704/0/08734445",
"title": "Digital Transactions Mining to Characterize Temporal Rhythms of a City",
"doi": null,
"abstractUrl": "/proceedings-article/icedeg/2019/08734445/1aPuXoKe4w0",
"parentPublication": {
"id": "proceedings/icedeg/2019/1704/0",
"title": "2019 Sixth International Conference on eDemocracy & eGovernment (ICEDEG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cbd/2019/5141/0/514100a102",
"title": "Discovering Hotspots in Dynamic Spatial Networks Using Mobility Data",
"doi": null,
"abstractUrl": "/proceedings-article/cbd/2019/514100a102/1fw1PbGtInC",
"parentPublication": {
"id": "proceedings/cbd/2019/5141/0",
"title": "2019 Seventh International Conference on Advanced Cloud and Big Data (CBD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pdp/2021/1455/0/145500a245",
"title": "Towards Parallel Multi-density Clustering for Urban Hotspots Detection",
"doi": null,
"abstractUrl": "/proceedings-article/pdp/2021/145500a245/1sZ2HLiDGLK",
"parentPublication": {
"id": "proceedings/pdp/2021/1455/0",
"title": "2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/csci/2020/7624/0/762400a412",
"title": "Discovery of Burglary Hotspots and Extraction of Their Features",
"doi": null,
"abstractUrl": "/proceedings-article/csci/2020/762400a412/1uGYQkww8yA",
"parentPublication": {
"id": "proceedings/csci/2020/7624/0",
"title": "2020 International Conference on Computational Science and Computational Intelligence (CSCI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnisc/2021/0232/0/023200a582",
"title": "The Urban City-Industry Integration Degree Evaluation Based on Ordinal Logistic Regression",
"doi": null,
"abstractUrl": "/proceedings-article/icnisc/2021/023200a582/1yLPvBHAGty",
"parentPublication": {
"id": "proceedings/icnisc/2021/0232/0",
"title": "2021 7th Annual International Conference on Network and Information Systems for Computers (ICNISC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1sZ2DmkLJza",
"title": "2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)",
"acronym": "pdp",
"groupId": "1000543",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1sZ2HLiDGLK",
"doi": "10.1109/PDP52278.2021.00046",
"title": "Towards Parallel Multi-density Clustering for Urban Hotspots Detection",
"normalizedTitle": "Towards Parallel Multi-density Clustering for Urban Hotspots Detection",
"abstract": "Detecting city hotspots in urban environments is a valuable organization methodology for framing detailed knowledge of a metropolitan area, providing high-level summaries for spatial urban datasets. Such knowledge is a valuable support for planner, scientist and policy-maker's decisions. Classic density-based clustering algorithms show to be suitable to discover hotspots characterized by homogeneous density, but their application on multi-density data can produce inaccurate results. For such a reason, since metropolitan cities are heavily characterized by variable densities, multi-density clustering approaches show higher effectiveness to discover city hotspots. Moreover, the growing volumes of data collected in urban environments require high-performance computing solutions, to guarantee efficient, scalable and elastic task executions. This paper describes the design and implementation of a parallel multi-density clustering algorithm, aimed at analyzing high volume of urban data in an efficient way. The experimental evaluation shows that the proposed parallel clustering approach takes out encouraging advantages in terms of execution time and speedup.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Detecting city hotspots in urban environments is a valuable organization methodology for framing detailed knowledge of a metropolitan area, providing high-level summaries for spatial urban datasets. Such knowledge is a valuable support for planner, scientist and policy-maker's decisions. Classic density-based clustering algorithms show to be suitable to discover hotspots characterized by homogeneous density, but their application on multi-density data can produce inaccurate results. For such a reason, since metropolitan cities are heavily characterized by variable densities, multi-density clustering approaches show higher effectiveness to discover city hotspots. Moreover, the growing volumes of data collected in urban environments require high-performance computing solutions, to guarantee efficient, scalable and elastic task executions. This paper describes the design and implementation of a parallel multi-density clustering algorithm, aimed at analyzing high volume of urban data in an efficient way. The experimental evaluation shows that the proposed parallel clustering approach takes out encouraging advantages in terms of execution time and speedup.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Detecting city hotspots in urban environments is a valuable organization methodology for framing detailed knowledge of a metropolitan area, providing high-level summaries for spatial urban datasets. Such knowledge is a valuable support for planner, scientist and policy-maker's decisions. Classic density-based clustering algorithms show to be suitable to discover hotspots characterized by homogeneous density, but their application on multi-density data can produce inaccurate results. For such a reason, since metropolitan cities are heavily characterized by variable densities, multi-density clustering approaches show higher effectiveness to discover city hotspots. Moreover, the growing volumes of data collected in urban environments require high-performance computing solutions, to guarantee efficient, scalable and elastic task executions. This paper describes the design and implementation of a parallel multi-density clustering algorithm, aimed at analyzing high volume of urban data in an efficient way. The experimental evaluation shows that the proposed parallel clustering approach takes out encouraging advantages in terms of execution time and speedup.",
"fno": "145500a245",
"keywords": [
"Pattern Clustering",
"City Hotspots",
"Urban Environments",
"High Performance Computing Solutions",
"Elastic Task Executions",
"Multidensity Clustering Algorithm",
"Urban Data",
"Parallel Clustering Approach",
"Urban Hotspots Detection",
"Valuable Organization Methodology",
"Metropolitan Area",
"High Level Summaries",
"Spatial Urban Datasets",
"Density Based Clustering Algorithms",
"Homogeneous Density",
"Variable Densities",
"Multidensity Clustering Approaches",
"Parallel Multidensity",
"Urban Areas",
"Clustering Algorithms",
"Distributed Databases",
"Organizations",
"Spatial Databases",
"Task Analysis",
"Smart City",
"Urban Computing",
"Multi Density Clustering"
],
"authors": [
{
"affiliation": "University of Calabria,Italy",
"fullName": "Eugenio Cesario",
"givenName": "Eugenio",
"surname": "Cesario",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "ICAR-CNR,Italy",
"fullName": "Andrea Vinci",
"givenName": "Andrea",
"surname": "Vinci",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Monmouth University,U.S.",
"fullName": "Shabnam Zarin",
"givenName": "Shabnam",
"surname": "Zarin",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "pdp",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-03-01T00:00:00",
"pubType": "proceedings",
"pages": "245-248",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-1455-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "145500a240",
"articleId": "1sZ2EkJDECk",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "145500a249",
"articleId": "1sZ2FjH8Dxm",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/snpd/2017/5504/0/08022719",
"title": "A novel passenger hotspots searching algorithm for taxis in urban area",
"doi": null,
"abstractUrl": "/proceedings-article/snpd/2017/08022719/12OmNqyUUBz",
"parentPublication": {
"id": "proceedings/snpd/2017/5504/0",
"title": "2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mdm/2016/0883/1/0883a318",
"title": "Understanding Urban Mobility via Taxi Trip Clustering",
"doi": null,
"abstractUrl": "/proceedings-article/mdm/2016/0883a318/12OmNzvQI7o",
"parentPublication": {
"id": "proceedings/mdm/2016/0883/1",
"title": "2016 17th IEEE International Conference on Mobile Data Management (MDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tm/2019/04/08392372",
"title": "Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots",
"doi": null,
"abstractUrl": "/journal/tm/2019/04/08392372/13rRUx0xQ0k",
"parentPublication": {
"id": "trans/tm",
"title": "IEEE Transactions on Mobile Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2018/05/08186182",
"title": "Density-Based Place Clustering Using Geo-Social Network Data",
"doi": null,
"abstractUrl": "/journal/tk/2018/05/08186182/13rRUy0HYS3",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-smartcity-dss/2018/6614/0/661400b429",
"title": "Track Mining Based on Density Clustering and Fuzzy C-Means",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-smartcity-dss/2018/661400b429/183rAduG427",
"parentPublication": {
"id": "proceedings/hpcc-smartcity-dss/2018/6614/0",
"title": "2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ic3/2019/3591/0/08844936",
"title": "Circular and Cylindrical Hotspots Detection for Spatial and Spatio-temporal Data",
"doi": null,
"abstractUrl": "/proceedings-article/ic3/2019/08844936/1dx8r7QJxYY",
"parentPublication": {
"id": "proceedings/ic3/2019/3591/0",
"title": "2019 Twelfth International Conference on Contemporary Computing (IC3)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222248",
"title": "Topology Density Map for Urban Data Visualization and Analysis",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222248/1nTr0CUpIIM",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/smartcomp/2020/6997/0/699700a332",
"title": "Discovering Multi-density Urban Hotspots in a Smart City",
"doi": null,
"abstractUrl": "/proceedings-article/smartcomp/2020/699700a332/1oxo8AQD6yA",
"parentPublication": {
"id": "proceedings/smartcomp/2020/6997/0",
"title": "2020 IEEE International Conference on Smart Computing (SMARTCOMP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mdm/2021/2845/0/284500a039",
"title": "Urban Crowd Density Prediction Based on Multi-relational Graph",
"doi": null,
"abstractUrl": "/proceedings-article/mdm/2021/284500a039/1v2QxX1aeSk",
"parentPublication": {
"id": "proceedings/mdm/2021/2845/0",
"title": "2021 22nd IEEE International Conference on Mobile Data Management (MDM)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/02/09528012",
"title": "The Mining of Urban Hotspots Based on Multi-Source Location Data Fusion",
"doi": null,
"abstractUrl": "/journal/tk/2023/02/09528012/1wznJon8PSM",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1t2n7SlHRvO",
"title": "2021 13th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"acronym": "icmtma",
"groupId": "1002837",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1t2nqxPVUMU",
"doi": "10.1109/ICMTMA52658.2021.00192",
"title": "Rationality Evaluation of Urban Road Network Plan Based on the EW-TOPSIS Method",
"normalizedTitle": "Rationality Evaluation of Urban Road Network Plan Based on the EW-TOPSIS Method",
"abstract": "This paper was carried out with the objective of evaluating the rationality of an urban road network plan. The research was kickstarted by analyzing the urban road network in question, from which a corresponding rationality evaluation metric for the urban road network plan was formulated after taking into account the scale of the road network structure, the scale of the public transportation route network, and the traffic-regulating functionality of the road network. Using the metric in combination with the EW-TOPSIS (entropy weight and Technique of Order Preference Similarity to the Ideal Solution) method, a comprehensive road network plan rationality evaluation model was established. Finally, the effectiveness of the model was verified by evaluating the rationalities of the urban road networks in Beijing, Shanghai, and six other cities in China using the EW-TOPSIS method, and conducting a sensitivity analysis on the produced rationality evaluation indices.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This paper was carried out with the objective of evaluating the rationality of an urban road network plan. The research was kickstarted by analyzing the urban road network in question, from which a corresponding rationality evaluation metric for the urban road network plan was formulated after taking into account the scale of the road network structure, the scale of the public transportation route network, and the traffic-regulating functionality of the road network. Using the metric in combination with the EW-TOPSIS (entropy weight and Technique of Order Preference Similarity to the Ideal Solution) method, a comprehensive road network plan rationality evaluation model was established. Finally, the effectiveness of the model was verified by evaluating the rationalities of the urban road networks in Beijing, Shanghai, and six other cities in China using the EW-TOPSIS method, and conducting a sensitivity analysis on the produced rationality evaluation indices.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "This paper was carried out with the objective of evaluating the rationality of an urban road network plan. The research was kickstarted by analyzing the urban road network in question, from which a corresponding rationality evaluation metric for the urban road network plan was formulated after taking into account the scale of the road network structure, the scale of the public transportation route network, and the traffic-regulating functionality of the road network. Using the metric in combination with the EW-TOPSIS (entropy weight and Technique of Order Preference Similarity to the Ideal Solution) method, a comprehensive road network plan rationality evaluation model was established. Finally, the effectiveness of the model was verified by evaluating the rationalities of the urban road networks in Beijing, Shanghai, and six other cities in China using the EW-TOPSIS method, and conducting a sensitivity analysis on the produced rationality evaluation indices.",
"fno": "389200a840",
"keywords": [
"Entropy",
"Fuzzy Set Theory",
"Optimisation",
"Road Traffic",
"Sensitivity Analysis",
"TOPSIS",
"Town And Country Planning",
"Transportation",
"Urban Road Network Plan",
"EW TOPSIS Method",
"Road Network Structure",
"Public Transportation Route Network",
"Comprehensive Road Network Plan Rationality Evaluation Model",
"Rationality Evaluation Indices",
"Traffic Regulating Functionality",
"Beijing",
"Shanghai",
"China",
"Sensitivity Analysis",
"Entropy Weight Method",
"Technique Of Order Preference Similarity To The Ideal Solution Method",
"Weight Measurement",
"Rails",
"Mechatronics",
"Sensitivity Analysis",
"Roads",
"Urban Areas",
"Entropy",
"Urban Road Network",
"Rationality Evaluation",
"Metric",
"Entropy Weight",
"TOPSIS Method"
],
"authors": [
{
"affiliation": "Research Institute of Highway Ministry of Transport,The Platform of Transport Technology Thinktank,Beijing,China,100088",
"fullName": "Die Qian",
"givenName": "Die",
"surname": "Qian",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Research Institute of Highway Ministry of Transport,The Platform of Transport Technology Thinktank,Beijing,China,100088",
"fullName": "Yang Wang",
"givenName": "Yang",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Research Institute of Highway Ministry of Transport,The Platform of Transport Technology Thinktank,Beijing,China,100088",
"fullName": "Xuechi Zhang",
"givenName": "Xuechi",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Southeast University,School of Transportation,Nanjing,China,211189",
"fullName": "De Zhao",
"givenName": "De",
"surname": "Zhao",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icmtma",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-01-01T00:00:00",
"pubType": "proceedings",
"pages": "840-844",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-3892-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "389200a836",
"articleId": "1t2nf7gk4xO",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "389200a845",
"articleId": "1t2nik24HMQ",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ifita/2010/4115/1/4115a075",
"title": "Procedural Modeling of Urban Road Network",
"doi": null,
"abstractUrl": "/proceedings-article/ifita/2010/4115a075/12OmNBSSVlr",
"parentPublication": {
"id": null,
"title": null,
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicta/2009/3804/3/3804c742",
"title": "Site Planning of Urban Road Interchange",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2009/3804c742/12OmNywOWMf",
"parentPublication": {
"id": null,
"title": null,
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icitbs/2019/1307/0/130700a053",
"title": "Research on the Evaluation of Urban Skeleton Road Network and External Freeway Network Fusion",
"doi": null,
"abstractUrl": "/proceedings-article/icitbs/2019/130700a053/18AuUqLljUs",
"parentPublication": {
"id": "proceedings/icitbs/2019/1307/0",
"title": "2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmtma/2022/9978/0/997800a630",
"title": "Evaluation of Urban-rural Development Integration Level Based on Cluster Analysis",
"doi": null,
"abstractUrl": "/proceedings-article/icmtma/2022/997800a630/1ByeQq4U4rC",
"parentPublication": {
"id": "proceedings/icmtma/2022/9978/0",
"title": "2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icvrv/2017/2636/0/263600a109",
"title": "Rapid Construction Algorithm of 3D Urban Road Network from Raster Maps",
"doi": null,
"abstractUrl": "/proceedings-article/icvrv/2017/263600a109/1ap5yDN9kw8",
"parentPublication": {
"id": "proceedings/icvrv/2017/2636/0",
"title": "2017 International Conference on Virtual Reality and Visualization (ICVRV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicta/2019/4284/0/428400a087",
"title": "Research on Energy Level Identification Technology of Urban Road Network Nodes",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2019/428400a087/1hQqKYBCPFC",
"parentPublication": {
"id": "proceedings/icicta/2019/4284/0",
"title": "2019 12th International Conference on Intelligent Computation Technology and Automation (ICICTA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/isctt/2020/8575/0/857500a575",
"title": "Comprehensive Evaluation of Urban Rail Transit Operation Performance and Diagnosis of Obstacle Factors based on Entropy-TOPSIS-Obstacle Degree",
"doi": null,
"abstractUrl": "/proceedings-article/isctt/2020/857500a575/1rHeOxCbopG",
"parentPublication": {
"id": "proceedings/isctt/2020/8575/0",
"title": "2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/hpcc-dss-smartcity/2020/7649/0/764900b080",
"title": "Analysis of Urban Traffic Incidents Through Road Network Features",
"doi": null,
"abstractUrl": "/proceedings-article/hpcc-dss-smartcity/2020/764900b080/1t7n2Rdahsk",
"parentPublication": {
"id": "proceedings/hpcc-dss-smartcity/2020/7649/0",
"title": "2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2020/6406/0/640600c288",
"title": "A method for extracting urban road with shadow from the Chinese Gaofen-2 data",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2020/640600c288/1x3kJv2r7y0",
"parentPublication": {
"id": "proceedings/icisce/2020/6406/0",
"title": "2020 7th International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmu/2021/48/0/09638783",
"title": "Enhancing Urban Road Network by Combining Route Planning and Dynamic Lane Reversal",
"doi": null,
"abstractUrl": "/proceedings-article/icmu/2021/09638783/1zktcZbAqd2",
"parentPublication": {
"id": "proceedings/icmu/2021/48/0",
"title": "2021 Thirteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1v2Qx24Bt1S",
"title": "2021 22nd IEEE International Conference on Mobile Data Management (MDM)",
"acronym": "mdm",
"groupId": "1000468",
"volume": "0",
"displayVolume": "0",
"year": "2021",
"__typename": "ProceedingType"
},
"article": {
"id": "1v2QxX1aeSk",
"doi": "10.1109/MDM52706.2021.00018",
"title": "Urban Crowd Density Prediction Based on Multi-relational Graph",
"normalizedTitle": "Urban Crowd Density Prediction Based on Multi-relational Graph",
"abstract": "Urban crowd density prediction, which predicts the future crowd density in different areas based on the historical data, is playing an increasingly significant role in epidemic prevention and traffic optimization. Most existing methods model the spatial information through a single relationship, i.e., distance, and extract the temporal information only by short time sequences, which limits the model to fully capture the spatiotemporal information. Therefore, in this paper, we propose a Multi-relational Graph Convolutional Gate Recurrent Unit (MGC-GRU) model to represent the spatiotemporal information more comprehensively for better urban crowd density prediction. Specifically, we first construct a multi-relation urban area graph to enrich the spatial relationship between areas. Then a graph representation module based on a multi-relational graph convolution network is proposed to represent spatial information of the area, in which aggregator distinguishes the information of different relationships and propagator equips the self-attention mechanism to refine the representation. Afterwards, we further construct a fine-grained sequence prediction module to enhance the temporal dependency by modeling time sequences in different granularity, i.e., daily and hourly. Finally, extensive experiments on a real-world dataset demonstrate the superior performance of MGC-GRU on urban crowd density prediction task.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Urban crowd density prediction, which predicts the future crowd density in different areas based on the historical data, is playing an increasingly significant role in epidemic prevention and traffic optimization. Most existing methods model the spatial information through a single relationship, i.e., distance, and extract the temporal information only by short time sequences, which limits the model to fully capture the spatiotemporal information. Therefore, in this paper, we propose a Multi-relational Graph Convolutional Gate Recurrent Unit (MGC-GRU) model to represent the spatiotemporal information more comprehensively for better urban crowd density prediction. Specifically, we first construct a multi-relation urban area graph to enrich the spatial relationship between areas. Then a graph representation module based on a multi-relational graph convolution network is proposed to represent spatial information of the area, in which aggregator distinguishes the information of different relationships and propagator equips the self-attention mechanism to refine the representation. Afterwards, we further construct a fine-grained sequence prediction module to enhance the temporal dependency by modeling time sequences in different granularity, i.e., daily and hourly. Finally, extensive experiments on a real-world dataset demonstrate the superior performance of MGC-GRU on urban crowd density prediction task.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Urban crowd density prediction, which predicts the future crowd density in different areas based on the historical data, is playing an increasingly significant role in epidemic prevention and traffic optimization. Most existing methods model the spatial information through a single relationship, i.e., distance, and extract the temporal information only by short time sequences, which limits the model to fully capture the spatiotemporal information. Therefore, in this paper, we propose a Multi-relational Graph Convolutional Gate Recurrent Unit (MGC-GRU) model to represent the spatiotemporal information more comprehensively for better urban crowd density prediction. Specifically, we first construct a multi-relation urban area graph to enrich the spatial relationship between areas. Then a graph representation module based on a multi-relational graph convolution network is proposed to represent spatial information of the area, in which aggregator distinguishes the information of different relationships and propagator equips the self-attention mechanism to refine the representation. Afterwards, we further construct a fine-grained sequence prediction module to enhance the temporal dependency by modeling time sequences in different granularity, i.e., daily and hourly. Finally, extensive experiments on a real-world dataset demonstrate the superior performance of MGC-GRU on urban crowd density prediction task.",
"fno": "284500a039",
"keywords": [
"Data Mining",
"Feature Extraction",
"Graph Theory",
"Learning Artificial Intelligence",
"Neural Nets",
"Optimisation",
"Recurrent Neural Nets",
"Spatiotemporal Phenomena",
"Future Crowd Density",
"Spatial Information",
"Temporal Information",
"Spatiotemporal Information",
"Multirelational Graph Convolutional Gate Recurrent Unit Model",
"Multirelation Urban Area Graph",
"Graph Representation Module",
"Multirelational Graph Convolution Network",
"Fine Grained Sequence Prediction Module",
"Modeling Time Sequences",
"Urban Crowd Density Prediction Task",
"Epidemics",
"Convolution",
"Urban Areas",
"Predictive Models",
"Logic Gates",
"Data Models",
"Spatiotemporal Phenomena",
"Urban Crowd Density Prediction",
"Representation Learning",
"Sequence Prediction"
],
"authors": [
{
"affiliation": "University of Science and Technology of China,Anhui Province Key Lab of Big Data Analysis and Application, School of Data Science & School of Computer Science and Technology",
"fullName": "Qiming Hao",
"givenName": "Qiming",
"surname": "Hao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Science and Technology of China,Anhui Province Key Lab of Big Data Analysis and Application, School of Data Science & School of Computer Science and Technology",
"fullName": "Le Zhang",
"givenName": "Le",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Science and Technology of China,Anhui Province Key Lab of Big Data Analysis and Application, School of Data Science & School of Computer Science and Technology",
"fullName": "Rui Zha",
"givenName": "Rui",
"surname": "Zha",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Science and Technology of China,Anhui Province Key Lab of Big Data Analysis and Application, School of Data Science & School of Computer Science and Technology",
"fullName": "Ding Zhou",
"givenName": "Ding",
"surname": "Zhou",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Science and Technology of China,Anhui Province Key Lab of Big Data Analysis and Application, School of Data Science & School of Computer Science and Technology",
"fullName": "Zhe Zhang",
"givenName": "Zhe",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Science and Technology of China,Anhui Province Key Lab of Big Data Analysis and Application, School of Data Science & School of Computer Science and Technology",
"fullName": "Tong Xu",
"givenName": "Tong",
"surname": "Xu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Science and Technology of China,Anhui Province Key Lab of Big Data Analysis and Application, School of Data Science & School of Computer Science and Technology",
"fullName": "Enhong Chen",
"givenName": "Enhong",
"surname": "Chen",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "mdm",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2021-06-01T00:00:00",
"pubType": "proceedings",
"pages": "39-48",
"year": "2021",
"issn": null,
"isbn": "978-1-6654-2845-3",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "284500a029",
"articleId": "1v2QCOiWOI0",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "284500a049",
"articleId": "1v2QBrffn5m",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/big-data/2016/9005/0/07840844",
"title": "A framework for evaluating urban land use mix from crowd-sourcing data",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2016/07840844/12OmNBBhN8h",
"parentPublication": {
"id": "proceedings/big-data/2016/9005/0",
"title": "2016 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icme/2011/348/0/06012156",
"title": "The large-scale crowd density estimation based on sparse spatiotemporal local binary pattern",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2011/06012156/12OmNzvQI0B",
"parentPublication": {
"id": "proceedings/icme/2011/348/0",
"title": "2011 IEEE International Conference on Multimedia and Expo",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tm/5555/01/09760134",
"title": "Time-Dependent Visiting Trip Planning with Crowd Density Prediction Based on Internet of Things Localization",
"doi": null,
"abstractUrl": "/journal/tm/5555/01/09760134/1CHsBnuE5kk",
"parentPublication": {
"id": "trans/tm",
"title": "IEEE Transactions on Mobile Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/5555/01/09793649",
"title": "A2DJP: A Two Graph-based Component Fused Learning Framework for Urban Anomaly Distribution and Duration Joint-Prediction",
"doi": null,
"abstractUrl": "/journal/tk/5555/01/09793649/1E5LzxMmqK4",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/5555/01/09837455",
"title": "CityNeuro: Towards Location and Time Prediction for Urban Abnormal Events",
"doi": null,
"abstractUrl": "/journal/tk/5555/01/09837455/1FdICjrjPgs",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icde/2022/0883/0/088300b519",
"title": "DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2022/088300b519/1FwBDHWi6Ry",
"parentPublication": {
"id": "proceedings/icde/2022/0883/0",
"title": "2022 IEEE 38th International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2022/8045/0/10020886",
"title": "Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2022/10020886/1KfRUR26a08",
"parentPublication": {
"id": "proceedings/big-data/2022/8045/0",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/5555/01/10107812",
"title": "Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction",
"doi": null,
"abstractUrl": "/journal/tk/5555/01/10107812/1MDGjfriXp6",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tm/2020/12/08807281",
"title": "Improving Urban Crowd Flow Prediction on Flexible Region Partition",
"doi": null,
"abstractUrl": "/journal/tm/2020/12/08807281/1cG63yueYxy",
"parentPublication": {
"id": "trans/tm",
"title": "IEEE Transactions on Mobile Computing",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09422199",
"title": "DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09422199/1tiTp4GqV8s",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNy1SFBc",
"title": "2016 IEEE Symposium on Visualization for Cyber Security (VizSec)",
"acronym": "vizsec",
"groupId": "1810104",
"volume": "0",
"displayVolume": "0",
"year": "2016",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNBrlPyr",
"doi": "10.1109/VIZSEC.2016.7739579",
"title": "Understanding the context of network traffic alerts",
"normalizedTitle": "Understanding the context of network traffic alerts",
"abstract": "For the protection of critical infrastructures against complex virus attacks, automated network traffic analysis and deep packet inspection are unavoidable. However, even with the use of network intrusion detection systems, the number of alerts is still too large to analyze manually. In addition, the discovery of domain-specific multi stage viruses (e.g., Advanced Persistent Threats) are typically not captured by a single alert. The result is that security experts are overloaded with low-level technical alerts where they must look for the presence of an APT. In this paper we propose an alert-oriented visual analytics approach for the exploration of network traffic content in multiple contexts. In our approach CoNTA (Contextual analysis of Network Traffic Alerts), experts are supported to discover threats in large alert collections through interactive exploration using selections and attributes of interest. Tight integration between machine learning and visualization enables experts to quickly drill down into the alert collection and report false alerts back to the intrusion detection system. Finally, we show the effectiveness of the approach by applying it on real world and artificial data sets.",
"abstracts": [
{
"abstractType": "Regular",
"content": "For the protection of critical infrastructures against complex virus attacks, automated network traffic analysis and deep packet inspection are unavoidable. However, even with the use of network intrusion detection systems, the number of alerts is still too large to analyze manually. In addition, the discovery of domain-specific multi stage viruses (e.g., Advanced Persistent Threats) are typically not captured by a single alert. The result is that security experts are overloaded with low-level technical alerts where they must look for the presence of an APT. In this paper we propose an alert-oriented visual analytics approach for the exploration of network traffic content in multiple contexts. In our approach CoNTA (Contextual analysis of Network Traffic Alerts), experts are supported to discover threats in large alert collections through interactive exploration using selections and attributes of interest. Tight integration between machine learning and visualization enables experts to quickly drill down into the alert collection and report false alerts back to the intrusion detection system. Finally, we show the effectiveness of the approach by applying it on real world and artificial data sets.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "For the protection of critical infrastructures against complex virus attacks, automated network traffic analysis and deep packet inspection are unavoidable. However, even with the use of network intrusion detection systems, the number of alerts is still too large to analyze manually. In addition, the discovery of domain-specific multi stage viruses (e.g., Advanced Persistent Threats) are typically not captured by a single alert. The result is that security experts are overloaded with low-level technical alerts where they must look for the presence of an APT. In this paper we propose an alert-oriented visual analytics approach for the exploration of network traffic content in multiple contexts. In our approach CoNTA (Contextual analysis of Network Traffic Alerts), experts are supported to discover threats in large alert collections through interactive exploration using selections and attributes of interest. Tight integration between machine learning and visualization enables experts to quickly drill down into the alert collection and report false alerts back to the intrusion detection system. Finally, we show the effectiveness of the approach by applying it on real world and artificial data sets.",
"fno": "07739579",
"keywords": [
"Data Visualization",
"Context",
"Correlation",
"Protocols",
"Forensics",
"Visual Analytics",
"Couplings",
"Parse Data Analysis",
"Anomaly Detection",
"Network Traffic Analysis",
"Multivariate Analysis",
"Streaming Data Interaction"
],
"authors": [
{
"affiliation": "Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands",
"fullName": "Bram C. M. Cappers",
"givenName": "Bram C. M.",
"surname": "Cappers",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands",
"fullName": "Jarke J. van Wijk",
"givenName": "Jarke J.",
"surname": "van Wijk",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vizsec",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2016-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-8",
"year": "2016",
"issn": null,
"isbn": "978-1-5090-1605-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "07739578",
"articleId": "12OmNA14A3B",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "07739580",
"articleId": "12OmNzgeLKv",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/socialcom/2010/4211/0/4211a785",
"title": "Alerts Analysis and Visualization in Network-based Intrusion Detection Systems",
"doi": null,
"abstractUrl": "/proceedings-article/socialcom/2010/4211a785/12OmNCyTypk",
"parentPublication": {
"id": "proceedings/socialcom/2010/4211/0",
"title": "Social Computing / IEEE International Conference on Privacy, Security, Risk and Trust, 2010 IEEE International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cnsr/2008/3135/0/3135a157",
"title": "Critical Episode Mining in Intrusion Detection Alerts",
"doi": null,
"abstractUrl": "/proceedings-article/cnsr/2008/3135a157/12OmNqIzh5H",
"parentPublication": {
"id": "proceedings/cnsr/2008/3135/0",
"title": "2008 6th Annual Communication Networks and Services Research Conference (CNSR '08)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cts/2016/2300/0/07871018",
"title": "Experts' Knowledge Merging to Reduce IDS Alerts Number",
"doi": null,
"abstractUrl": "/proceedings-article/cts/2016/07871018/12OmNqOffyX",
"parentPublication": {
"id": "proceedings/cts/2016/2300/0",
"title": "2016 International Conference on Collaboration Technologies and Systems (CTS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/acsac/2001/1405/0/14050022",
"title": "Managing Alerts in a Multi-Intrusion Detection Environment",
"doi": null,
"abstractUrl": "/proceedings-article/acsac/2001/14050022/12OmNrGKeuX",
"parentPublication": {
"id": "proceedings/acsac/2001/1405/0",
"title": "Seventeenth Annual Computer Security Applications Conference",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icciis/2010/4260/0/4260a080",
"title": "An Intrusion Alert Correlation Approach Based on Finite Automata",
"doi": null,
"abstractUrl": "/proceedings-article/icciis/2010/4260a080/12OmNvA1h8W",
"parentPublication": {
"id": "proceedings/icciis/2010/4260/0",
"title": "Communications and Intelligence Information Security, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/lcn/2014/3780/0/06925787",
"title": "OutMet: A new metric for prioritising intrusion alerts using correlation and outlier analysis",
"doi": null,
"abstractUrl": "/proceedings-article/lcn/2014/06925787/12OmNvD8Rt3",
"parentPublication": {
"id": "proceedings/lcn/2014/3780/0",
"title": "2014 IEEE 39th Conference on Local Computer Networks (LCN)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cmc/2009/3501/3/3501c460",
"title": "Preprocessor of Intrusion Alerts Correlation Based on Ontology",
"doi": null,
"abstractUrl": "/proceedings-article/cmc/2009/3501c460/12OmNwsNRdJ",
"parentPublication": {
"id": "proceedings/cmc/2009/3501/3",
"title": "2009 WRI International Conference on Communications and Mobile Computing. CMC 2009",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ipdpsw/2012/4676/0/4676b263",
"title": "Mining of Attack Models in IDS Alerts from Network Backbone by a Two-stage Clustering Method",
"doi": null,
"abstractUrl": "/proceedings-article/ipdpsw/2012/4676b263/12OmNyeECsA",
"parentPublication": {
"id": "proceedings/ipdpsw/2012/4676/0",
"title": "2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2018/06/08617765",
"title": "A Novel Radial Visualization of Intrusion Detection Alerts",
"doi": null,
"abstractUrl": "/magazine/cg/2018/06/08617765/17D45Vw15tt",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icse/2022/9221/0/922100b646",
"title": "Online Summarizing Alerts through Semantic and Behavior Information",
"doi": null,
"abstractUrl": "/proceedings-article/icse/2022/922100b646/1EmskC35XZ6",
"parentPublication": {
"id": "proceedings/icse/2022/9221/0",
"title": "2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1kmoNreKiTm",
"title": "2020 IEEE Pacific Visualization Symposium (PacificVis)",
"acronym": "pacificvis",
"groupId": "1001657",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1kuHkWFa45W",
"doi": "10.1109/PacificVis48177.2020.7127",
"title": "DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies",
"normalizedTitle": "DynamicsExplorer: Visual Analytics for Robot Control Tasks involving Dynamics and LSTM-based Control Policies",
"abstract": "Deep reinforcement learning (RL), where a policy represented by a deep neural network is trained, has shown some success in playing video games and chess. However, applying RL to real-world tasks like robot control is still challenging. Because generating a massive number of samples to train control policies using RL on real robots is very expensive, hence impractical, it is common to train in simulations, and then transfer to real environments. The trained policy, however, may fail in the real world because of the difference between the training and the real environments, especially the difference in dynamics. To diagnose the problems, it is crucial for experts to understand (1) how the trained policy behaves under different dynamics settings, (2) which part of the policy affects the behaviors the most when the dynamics setting changes, and (3) how to adjust the training procedure to make the policy robust.This paper presents DynamicsExplorer, a visual analytics tool to diagnose the trained policy on robot control tasks under different dynamics settings. DynamicsExplorer allows experts to overview the results of multiple tests with different dynamics-related parameter settings so experts can visually detect failures and analyze the sensitivity of different parameters. Experts can further examine the internal activations of the policy for selected tests and compare the activations between success and failure tests. Such comparisons help experts form hypotheses about the policy and allows them to verify the hypotheses via DynamicsExplorer. Multiple use cases are presented to demonstrate the utility of DynamicsExplorer.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Deep reinforcement learning (RL), where a policy represented by a deep neural network is trained, has shown some success in playing video games and chess. However, applying RL to real-world tasks like robot control is still challenging. Because generating a massive number of samples to train control policies using RL on real robots is very expensive, hence impractical, it is common to train in simulations, and then transfer to real environments. The trained policy, however, may fail in the real world because of the difference between the training and the real environments, especially the difference in dynamics. To diagnose the problems, it is crucial for experts to understand (1) how the trained policy behaves under different dynamics settings, (2) which part of the policy affects the behaviors the most when the dynamics setting changes, and (3) how to adjust the training procedure to make the policy robust.This paper presents DynamicsExplorer, a visual analytics tool to diagnose the trained policy on robot control tasks under different dynamics settings. DynamicsExplorer allows experts to overview the results of multiple tests with different dynamics-related parameter settings so experts can visually detect failures and analyze the sensitivity of different parameters. Experts can further examine the internal activations of the policy for selected tests and compare the activations between success and failure tests. Such comparisons help experts form hypotheses about the policy and allows them to verify the hypotheses via DynamicsExplorer. Multiple use cases are presented to demonstrate the utility of DynamicsExplorer.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Deep reinforcement learning (RL), where a policy represented by a deep neural network is trained, has shown some success in playing video games and chess. However, applying RL to real-world tasks like robot control is still challenging. Because generating a massive number of samples to train control policies using RL on real robots is very expensive, hence impractical, it is common to train in simulations, and then transfer to real environments. The trained policy, however, may fail in the real world because of the difference between the training and the real environments, especially the difference in dynamics. To diagnose the problems, it is crucial for experts to understand (1) how the trained policy behaves under different dynamics settings, (2) which part of the policy affects the behaviors the most when the dynamics setting changes, and (3) how to adjust the training procedure to make the policy robust.This paper presents DynamicsExplorer, a visual analytics tool to diagnose the trained policy on robot control tasks under different dynamics settings. DynamicsExplorer allows experts to overview the results of multiple tests with different dynamics-related parameter settings so experts can visually detect failures and analyze the sensitivity of different parameters. Experts can further examine the internal activations of the policy for selected tests and compare the activations between success and failure tests. Such comparisons help experts form hypotheses about the policy and allows them to verify the hypotheses via DynamicsExplorer. Multiple use cases are presented to demonstrate the utility of DynamicsExplorer.",
"fno": "09086290",
"keywords": [
"Computer Games",
"Data Analysis",
"Data Visualisation",
"Failure Analysis",
"Learning Artificial Intelligence",
"Recurrent Neural Nets",
"Robots",
"Dynamics Related Parameter Settings",
"Dynamics Settings",
"Visual Analytics Tool",
"Training Procedure",
"Trained Policy",
"RL",
"Deep Reinforcement Learning",
"LSTM Based Control Policies",
"Robot Control Tasks",
"Dynamics Explorer",
"Training",
"Technological Innovation",
"Sensitivity",
"Visual Analytics",
"Robot Kinematics",
"Robot Control",
"Neural Networks"
],
"authors": [
{
"affiliation": "The Ohio State University",
"fullName": "Wenbin He",
"givenName": "Wenbin",
"surname": "He",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Mitsubishi Electric Research Labs (MERL)",
"fullName": "Teng-Yok Lee",
"givenName": "Teng-Yok",
"surname": "Lee",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Mitsubishi Electric Research Labs (MERL)",
"fullName": "Jeroen van Baar",
"givenName": "Jeroen",
"surname": "van Baar",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Mitsubishi Electric Research Labs (MERL)",
"fullName": "Kent Wittenburg",
"givenName": "Kent",
"surname": "Wittenburg",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "The Ohio State University",
"fullName": "Han-Wei Shen",
"givenName": "Han-Wei",
"surname": "Shen",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "pacificvis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-06-01T00:00:00",
"pubType": "proceedings",
"pages": "36-45",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-5697-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09086281",
"articleId": "1kuHlUFkSPu",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09086286",
"articleId": "1kuHlrhQV9u",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/cvprw/2017/0733/0/0733a490",
"title": "Leveraging Deep Reinforcement Learning for Reaching Robotic Tasks",
"doi": null,
"abstractUrl": "/proceedings-article/cvprw/2017/0733a490/12OmNzJbQXw",
"parentPublication": {
"id": "proceedings/cvprw/2017/0733/0",
"title": "2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/robot/1992/2720/0/00219949",
"title": "Learning control for robot tasks under geometric endpoint constraints",
"doi": null,
"abstractUrl": "/proceedings-article/robot/1992/00219949/12OmNzxPTHB",
"parentPublication": {
"id": "proceedings/robot/1992/2720/0",
"title": "Proceedings 1992 IEEE International Conference on Robotics and Automation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/asap/2018/7479/0/08445099",
"title": "Towards Hardware Accelerated Reinforcement Learning for Application-Specific Robotic Control",
"doi": null,
"abstractUrl": "/proceedings-article/asap/2018/08445099/13bd1fWcuDh",
"parentPublication": {
"id": "proceedings/asap/2018/7479/0",
"title": "2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cvpr/2018/6420/0/642000e691",
"title": "Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control",
"doi": null,
"abstractUrl": "/proceedings-article/cvpr/2018/642000e691/17D45Wc1IIM",
"parentPublication": {
"id": "proceedings/cvpr/2018/6420/0",
"title": "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/irc/2019/9245/0/924500a177",
"title": "Composition and Incremental Refinement of Skill Models for Robotic Assembly Tasks",
"doi": null,
"abstractUrl": "/proceedings-article/irc/2019/924500a177/18M7eDWPyKI",
"parentPublication": {
"id": "proceedings/irc/2019/9245/0",
"title": "2019 Third IEEE International Conference on Robotic Computing (IRC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/irc/2019/9245/0/924500a032",
"title": "Motion Planning and Control with Randomized Payloads Using Deep Reinforcement Learning",
"doi": null,
"abstractUrl": "/proceedings-article/irc/2019/924500a032/18M7fyzwpuE",
"parentPublication": {
"id": "proceedings/irc/2019/9245/0",
"title": "2019 Third IEEE International Conference on Robotic Computing (IRC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2022/2335/0/233500a111",
"title": "Why? Why not? When? Visual Explanations of Agent Behaviour in Reinforcement Learning",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2022/233500a111/1E2wfmNqkPm",
"parentPublication": {
"id": "proceedings/pacificvis/2022/2335/0",
"title": "2022 IEEE 15th Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dcoss/2022/9512/0/951200a125",
"title": "FrameHopper: Selective Processing of Video Frames in Detection-driven Real-Time Video Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/dcoss/2022/951200a125/1GBSR3CQSmQ",
"parentPublication": {
"id": "proceedings/dcoss/2022/9512/0",
"title": "2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/ai/5555/01/09924601",
"title": "Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method",
"doi": null,
"abstractUrl": "/journal/ai/5555/01/09924601/1HBI1TzrNew",
"parentPublication": {
"id": "trans/ai",
"title": "IEEE Transactions on Artificial Intelligence",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icoias/2019/2662/0/266200a124",
"title": "Shape Memory Alloy Driven Soft Robot Design and Position Control Using Continuous Reinforcement Learning",
"doi": null,
"abstractUrl": "/proceedings-article/icoias/2019/266200a124/1c8Pa3JchDW",
"parentPublication": {
"id": "proceedings/icoias/2019/2662/0",
"title": "2019 2nd International Conference on Intelligent Autonomous Systems (ICoIAS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1kmoNreKiTm",
"title": "2020 IEEE Pacific Visualization Symposium (PacificVis)",
"acronym": "pacificvis",
"groupId": "1001657",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1kuHnRNNrqw",
"doi": "10.1109/PacificVis48177.2020.3542",
"title": "SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics",
"normalizedTitle": "SCANViz: Interpreting the Symbol-Concept Association Captured by Deep Neural Networks through Visual Analytics",
"abstract": "Two fundamental problems in machine learning are recognition and generation. Apart from the tremendous amount of research efforts devoted to these two problems individually, finding the association between them has attracted increasingly more attention recently. Symbol-Concept Association Network (SCAN) is one of the most popular models for this problem proposed by Google DeepMind lately, which integrates an unsupervised concept abstraction process and a supervised symbol-concept association process. Despite the outstanding performance of this deep neural network, interpreting and evaluating it remain challenging. Guided by the practical needs from deep learning experts, this paper proposes a visual analytics attempt, i.e., SCANViz, to address this challenge in the visual domain. Specifically, SCANViz evaluates the performance of SCAN through its power of recognition and generation, facilitates the exploration of the latent space derived from both the unsupervised extraction and supervised association processes, empowers interactive training of SCAN to interpret the model’s understanding on a particular visual concept. Through concrete case studies with multiple deep learning experts, we validate the effectiveness of SCANViz.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Two fundamental problems in machine learning are recognition and generation. Apart from the tremendous amount of research efforts devoted to these two problems individually, finding the association between them has attracted increasingly more attention recently. Symbol-Concept Association Network (SCAN) is one of the most popular models for this problem proposed by Google DeepMind lately, which integrates an unsupervised concept abstraction process and a supervised symbol-concept association process. Despite the outstanding performance of this deep neural network, interpreting and evaluating it remain challenging. Guided by the practical needs from deep learning experts, this paper proposes a visual analytics attempt, i.e., SCANViz, to address this challenge in the visual domain. Specifically, SCANViz evaluates the performance of SCAN through its power of recognition and generation, facilitates the exploration of the latent space derived from both the unsupervised extraction and supervised association processes, empowers interactive training of SCAN to interpret the model’s understanding on a particular visual concept. Through concrete case studies with multiple deep learning experts, we validate the effectiveness of SCANViz.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Two fundamental problems in machine learning are recognition and generation. Apart from the tremendous amount of research efforts devoted to these two problems individually, finding the association between them has attracted increasingly more attention recently. Symbol-Concept Association Network (SCAN) is one of the most popular models for this problem proposed by Google DeepMind lately, which integrates an unsupervised concept abstraction process and a supervised symbol-concept association process. Despite the outstanding performance of this deep neural network, interpreting and evaluating it remain challenging. Guided by the practical needs from deep learning experts, this paper proposes a visual analytics attempt, i.e., SCANViz, to address this challenge in the visual domain. Specifically, SCANViz evaluates the performance of SCAN through its power of recognition and generation, facilitates the exploration of the latent space derived from both the unsupervised extraction and supervised association processes, empowers interactive training of SCAN to interpret the model’s understanding on a particular visual concept. Through concrete case studies with multiple deep learning experts, we validate the effectiveness of SCANViz.",
"fno": "09086289",
"keywords": [
"Data Visualisation",
"Neural Nets",
"Supervised Learning",
"Unsupervised Learning",
"Deep Neural Network",
"Machine Learning",
"Google Deep Mind",
"Visual Analytics",
"SCAN Viz",
"Supervised Association Processes",
"Deep Learning",
"Symbol Concept Association Network",
"Unsupervised Concept Abstraction",
"Deep Learning",
"Training",
"Analytical Models",
"Visual Analytics",
"Neural Networks",
"Pipelines",
"Data Visualization"
],
"authors": [
{
"affiliation": "Visa Research",
"fullName": "Junpeng Wang",
"givenName": "Junpeng",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Visa Research",
"fullName": "Wei Zhang",
"givenName": "Wei",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Visa Research",
"fullName": "Hao Yang",
"givenName": "Hao",
"surname": "Yang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "pacificvis",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-06-01T00:00:00",
"pubType": "proceedings",
"pages": "51-60",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-5697-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09086286",
"articleId": "1kuHlrhQV9u",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09086238",
"articleId": "1kuHkB4vMFG",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/fskd/2007/2874/3/28740045",
"title": "Distributed Association Rules Mining Based on Pruned Concept Lattices",
"doi": null,
"abstractUrl": "/proceedings-article/fskd/2007/28740045/12OmNB1eJzM",
"parentPublication": {
"id": "proceedings/fskd/2007/2874/3",
"title": "Fuzzy Systems and Knowledge Discovery, Fourth International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icisce/2017/3013/0/3013a203",
"title": "Application of Formal Concept Analysis in Association Rule Mining",
"doi": null,
"abstractUrl": "/proceedings-article/icisce/2017/3013a203/12OmNBZHifm",
"parentPublication": {
"id": "proceedings/icisce/2017/3013/0",
"title": "2017 4th International Conference on Information Science and Control Engineering (ICISCE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icicta/2011/4353/2/05750854",
"title": "Research on the Concept Design Based on the Symbol Modeling",
"doi": null,
"abstractUrl": "/proceedings-article/icicta/2011/05750854/12OmNqAU6qF",
"parentPublication": {
"id": "icicta/2011/4353/2",
"title": "Intelligent Computation Technology and Automation, International Conference on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icnc/2009/3736/3/3736c119",
"title": "Association Rules Mining Based on the Discriminative Concept Lattice",
"doi": null,
"abstractUrl": "/proceedings-article/icnc/2009/3736c119/12OmNrJRP0n",
"parentPublication": {
"id": "proceedings/icnc/2009/3736/3",
"title": "2009 Fifth International Conference on Natural Computation",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/etcs/2010/3987/2/3987b432",
"title": "Association Rule Mining Analysis on Concept Lattice and Rough Set",
"doi": null,
"abstractUrl": "/proceedings-article/etcs/2010/3987b432/12OmNvjgWBy",
"parentPublication": {
"id": "proceedings/etcs/2010/3987/2",
"title": "Education Technology and Computer Science, International Workshop on",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/01/09903285",
"title": "ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective",
"doi": null,
"abstractUrl": "/journal/tg/2023/01/09903285/1GZokbuWDvO",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vis/2022/8812/0/881200a035",
"title": "LineCap: Line Charts for Data Visualization Captioning Models",
"doi": null,
"abstractUrl": "/proceedings-article/vis/2022/881200a035/1J6hb0AkF20",
"parentPublication": {
"id": "proceedings/vis/2022/8812/0",
"title": "2022 IEEE Visualization and Visual Analytics (VIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/cste/2022/8188/0/818800a290",
"title": "Dynamic Key-Value Memory Networks based on Concept Structure for Knowledge Tracing",
"doi": null,
"abstractUrl": "/proceedings-article/cste/2022/818800a290/1J7VZ9XQWPe",
"parentPublication": {
"id": "proceedings/cste/2022/8188/0",
"title": "2022 4th International Conference on Computer Science and Technologies in Education (CSTE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mlui/2019/4064/0/10075565",
"title": "DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning",
"doi": null,
"abstractUrl": "/proceedings-article/mlui/2019/10075565/1LIRvsHYwsE",
"parentPublication": {
"id": "proceedings/mlui/2019/4064/0",
"title": "2019 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics (MLUI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vast/2020/8009/0/800900a012",
"title": "Diagnosing Concept Drift with Visual Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/vast/2020/800900a012/1q7jvQC41gs",
"parentPublication": {
"id": "proceedings/vast/2020/8009/0",
"title": "2020 IEEE Conference on Visual Analytics Science and Technology (VAST)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "12OmNzn3957",
"title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)",
"acronym": "icde",
"groupId": "1000178",
"volume": "0",
"displayVolume": "0",
"year": "2017",
"__typename": "ProceedingType"
},
"article": {
"id": "12OmNAFFdHM",
"doi": "10.1109/ICDE.2017.19",
"title": "Mining suspicious tax evasion groups in big data (extended abstract)",
"normalizedTitle": "Mining suspicious tax evasion groups in big data (extended abstract)",
"abstract": "There is evidence that an increasing number of enterprises plot together to evade tax in an unperceived way. At the same time, the taxation information related data is a classic kind of big data. These issues challenge the effectiveness of traditional data mining-based tax evasion detection methods. To address this problem, we first investigate the classic tax evasion cases, and employ a graph-based method to characterize their property that describes two suspicious relationship trails with a same antecedent node behind an Interest-Affiliated Transaction (IAT). Next, we propose a Colored Network-Based Model (CNBM) for characterizing economic behaviors, social relationships and the IATs between taxpayers, and generating a Taxpayer Interest Interacted Network (TPIIN). To accomplish the tax evasion detection task by discovering suspicious groups in a TPIIN, methods for building a patterns tree and matching component patterns are introduced and the completeness of the methods based on graph theory is presented. Then, we describe an experiment based on real data and a simulated network. The experimental results show that our proposed method greatly improves the efficiency of tax evasion detection, as well as provides a clear explanation of the tax evasion behaviors of taxpayer groups.",
"abstracts": [
{
"abstractType": "Regular",
"content": "There is evidence that an increasing number of enterprises plot together to evade tax in an unperceived way. At the same time, the taxation information related data is a classic kind of big data. These issues challenge the effectiveness of traditional data mining-based tax evasion detection methods. To address this problem, we first investigate the classic tax evasion cases, and employ a graph-based method to characterize their property that describes two suspicious relationship trails with a same antecedent node behind an Interest-Affiliated Transaction (IAT). Next, we propose a Colored Network-Based Model (CNBM) for characterizing economic behaviors, social relationships and the IATs between taxpayers, and generating a Taxpayer Interest Interacted Network (TPIIN). To accomplish the tax evasion detection task by discovering suspicious groups in a TPIIN, methods for building a patterns tree and matching component patterns are introduced and the completeness of the methods based on graph theory is presented. Then, we describe an experiment based on real data and a simulated network. The experimental results show that our proposed method greatly improves the efficiency of tax evasion detection, as well as provides a clear explanation of the tax evasion behaviors of taxpayer groups.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "There is evidence that an increasing number of enterprises plot together to evade tax in an unperceived way. At the same time, the taxation information related data is a classic kind of big data. These issues challenge the effectiveness of traditional data mining-based tax evasion detection methods. To address this problem, we first investigate the classic tax evasion cases, and employ a graph-based method to characterize their property that describes two suspicious relationship trails with a same antecedent node behind an Interest-Affiliated Transaction (IAT). Next, we propose a Colored Network-Based Model (CNBM) for characterizing economic behaviors, social relationships and the IATs between taxpayers, and generating a Taxpayer Interest Interacted Network (TPIIN). To accomplish the tax evasion detection task by discovering suspicious groups in a TPIIN, methods for building a patterns tree and matching component patterns are introduced and the completeness of the methods based on graph theory is presented. Then, we describe an experiment based on real data and a simulated network. The experimental results show that our proposed method greatly improves the efficiency of tax evasion detection, as well as provides a clear explanation of the tax evasion behaviors of taxpayer groups.",
"fno": "6543a025",
"keywords": [
"Big Data",
"Data Mining",
"Government Data Processing",
"Graph Colouring",
"Pattern Matching",
"Taxation",
"Trees Mathematics",
"Graph Theory",
"Component Pattern Matching",
"Pattern Tree",
"Tax Evasion Detection",
"TPIIN",
"Taxpayer Interest Interacted Network",
"Social Relationships",
"Economic Behaviors",
"CNBM",
"Colored Network Based Model",
"IAT",
"Interest Affiliated Transaction",
"Antecedent Node",
"Graph Based Method",
"Data Mining",
"Taxation Information",
"Big Data",
"Suspicious Tax Evasion Group Mining",
"Finance",
"Companies",
"Data Mining",
"Color",
"Big Data",
"Inspection",
"Economics"
],
"authors": [
{
"affiliation": "MoE Key Lab for INNS, Xi'an Jiaotong University, Xi'an, China",
"fullName": "Feng Tian",
"givenName": "Feng",
"surname": "Tian",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "MoE Key Lab for INNS, Xi'an Jiaotong University, Xi'an, China",
"fullName": "Tian Lan",
"givenName": "Tian",
"surname": "Lan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "MoE Key Lab. for INNS, Xi'an Jiaotong Univ., Xi'an, China",
"fullName": "Qinghua Zheng",
"givenName": "Qinghua",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fac. of Eng. & Comput., Coventry Univ., Coventry, UK",
"fullName": "Kuo-Ming Chao",
"givenName": "Kuo-Ming",
"surname": "Chao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fac. of Eng. & Comput., Coventry Univ., Coventry, UK",
"fullName": "Nick Godwin",
"givenName": "Nick",
"surname": "Godwin",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Fac. of Eng. & Comput., Coventry Univ., Coventry, UK",
"fullName": "Nazaraf Shah",
"givenName": "Nazaraf",
"surname": "Shah",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "SERVYOU GROUP, Hangzhou, China",
"fullName": "Fan Zhang",
"givenName": "Fan",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "icde",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2017-04-01T00:00:00",
"pubType": "proceedings",
"pages": "25-26",
"year": "2017",
"issn": "2375-026X",
"isbn": "978-1-5090-6543-1",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "6543a023",
"articleId": "12OmNzlUKfv",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "6543a027",
"articleId": "12OmNx76TRI",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "trans/tk/2016/10/07487062",
"title": "Mining Suspicious Tax Evasion Groups in Big Data",
"doi": null,
"abstractUrl": "/journal/tk/2016/10/07487062/13rRUwI5Ugv",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trustcom-bigdatase/2018/4388/0/438801b224",
"title": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"doi": null,
"abstractUrl": "/proceedings-article/trustcom-bigdatase/2018/438801b224/17D45VTRorL",
"parentPublication": {
"id": "proceedings/trustcom-bigdatase/2018/4388/0",
"title": "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2018/7325/0/732500a758",
"title": "Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2018/732500a758/17D45WnnFXf",
"parentPublication": {
"id": "proceedings/wi/2018/7325/0",
"title": "2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006325",
"title": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006325/1hJrIxuILTi",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09005656",
"title": "Unsupervised Conditional Adversarial Networks for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09005656/1hJrQaOQati",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222068",
"title": "<italic>TaxThemis</italic>: Interactive Mining and Exploration of Suspicious Tax Evasion Groups",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222068/1nTqzVqnWU0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a207",
"title": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a207/1nkDn8Avtcs",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a235",
"title": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a235/1nkDqdNCmGY",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378157",
"title": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378157/1s64F8c0RG0",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09459507",
"title": "Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09459507/1uvzUgQQnv2",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKipY",
"title": "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
"acronym": "trustcom-bigdatase",
"groupId": "1800729",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45VTRorL",
"doi": "10.1109/TrustCom/BigDataSE.2018.00169",
"title": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"normalizedTitle": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"abstract": "Tax evasion detection plays a crucial role in addressing tax revenue loss. Many efforts have been made to develop tax evasion detection models by leveraging machine learning techniques, but they have not constructed a uniform model for different geographical regions because an ample supply of training examples is a fundamental prerequisite for an effective detection model. When sufficient tax data are not readily available, the development of a representative detection model is more difficult due to unequal feature distributions in different regions. Existing methods face a challenge in explaining and tracing derived results. To overcome these challenges, we propose an Inter-Region Tax Evasion Detection method based on Transfer Learning (IRTED-TL), which is optimized to simultaneously augment training data and induce interpretability into the detection model. We exploit evasion-related knowledge in one region and leverage transfer learning techniques to reinforce the tax evasion detection tasks of other regions in which training examples are lacking. We provide a unified framework that takes advantage of auxiliary data using a transfer learning mechanism and builds an interpretable classifier for inter-region tax evasion detection. Experimental tests based on real-world tax data demonstrate that the IRTED-TL can detect tax evaders with higher accuracy and better interpretability than existing methods.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Tax evasion detection plays a crucial role in addressing tax revenue loss. Many efforts have been made to develop tax evasion detection models by leveraging machine learning techniques, but they have not constructed a uniform model for different geographical regions because an ample supply of training examples is a fundamental prerequisite for an effective detection model. When sufficient tax data are not readily available, the development of a representative detection model is more difficult due to unequal feature distributions in different regions. Existing methods face a challenge in explaining and tracing derived results. To overcome these challenges, we propose an Inter-Region Tax Evasion Detection method based on Transfer Learning (IRTED-TL), which is optimized to simultaneously augment training data and induce interpretability into the detection model. We exploit evasion-related knowledge in one region and leverage transfer learning techniques to reinforce the tax evasion detection tasks of other regions in which training examples are lacking. We provide a unified framework that takes advantage of auxiliary data using a transfer learning mechanism and builds an interpretable classifier for inter-region tax evasion detection. Experimental tests based on real-world tax data demonstrate that the IRTED-TL can detect tax evaders with higher accuracy and better interpretability than existing methods.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Tax evasion detection plays a crucial role in addressing tax revenue loss. Many efforts have been made to develop tax evasion detection models by leveraging machine learning techniques, but they have not constructed a uniform model for different geographical regions because an ample supply of training examples is a fundamental prerequisite for an effective detection model. When sufficient tax data are not readily available, the development of a representative detection model is more difficult due to unequal feature distributions in different regions. Existing methods face a challenge in explaining and tracing derived results. To overcome these challenges, we propose an Inter-Region Tax Evasion Detection method based on Transfer Learning (IRTED-TL), which is optimized to simultaneously augment training data and induce interpretability into the detection model. We exploit evasion-related knowledge in one region and leverage transfer learning techniques to reinforce the tax evasion detection tasks of other regions in which training examples are lacking. We provide a unified framework that takes advantage of auxiliary data using a transfer learning mechanism and builds an interpretable classifier for inter-region tax evasion detection. Experimental tests based on real-world tax data demonstrate that the IRTED-TL can detect tax evaders with higher accuracy and better interpretability than existing methods.",
"fno": "438801b224",
"keywords": [
"Financial Data Processing",
"Learning Artificial Intelligence",
"Pattern Classification",
"Taxation",
"IRTED TL",
"Tax Revenue Loss",
"Tax Evasion Detection Models",
"Machine Learning Techniques",
"Representative Detection Model",
"Evasion Related Knowledge",
"Tax Data",
"Inter Region Tax Evasion Detection Method Based On Transfer Learning",
"Classifier",
"Finance",
"Feature Extraction",
"Biological System Modeling",
"Data Models",
"Learning Systems",
"Training",
"Training Data",
"Tax Evasion Transfer Learning Interpretability Inter Region Detection"
],
"authors": [
{
"affiliation": null,
"fullName": "Xulyu Zhu",
"givenName": "Xulyu",
"surname": "Zhu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Zheng Yan",
"givenName": "Zheng",
"surname": "Yan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Jianfei Ruan",
"givenName": "Jianfei",
"surname": "Ruan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Qinghua Zheng",
"givenName": "Qinghua",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Bo Dong",
"givenName": "Bo",
"surname": "Dong",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "trustcom-bigdatase",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-08-01T00:00:00",
"pubType": "proceedings",
"pages": "1224-1235",
"year": "2018",
"issn": "2324-9013",
"isbn": "978-1-5386-4388-4",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "438801b214",
"articleId": "17D45XH89qn",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "438801b236",
"articleId": "17D45VUZMVr",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icde/2017/6543/0/6543a025",
"title": "Mining suspicious tax evasion groups in big data (extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2017/6543a025/12OmNAFFdHM",
"parentPublication": {
"id": "proceedings/icde/2017/6543/0",
"title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/10/07487062",
"title": "Mining Suspicious Tax Evasion Groups in Big Data",
"doi": null,
"abstractUrl": "/journal/tk/2016/10/07487062/13rRUwI5Ugv",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2018/7325/0/732500a758",
"title": "Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2018/732500a758/17D45WnnFXf",
"parentPublication": {
"id": "proceedings/wi/2018/7325/0",
"title": "2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006325",
"title": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006325/1hJrIxuILTi",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09005656",
"title": "Unsupervised Conditional Adversarial Networks for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09005656/1hJrQaOQati",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222068",
"title": "<italic>TaxThemis</italic>: Interactive Mining and Exploration of Suspicious Tax Evasion Groups",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222068/1nTqzVqnWU0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a207",
"title": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a207/1nkDn8Avtcs",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a235",
"title": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a235/1nkDqdNCmGY",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378157",
"title": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378157/1s64F8c0RG0",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09459507",
"title": "Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09459507/1uvzUgQQnv2",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKisl",
"title": "2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"acronym": "wi",
"groupId": "1001411",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45WnnFXf",
"doi": "10.1109/WI.2018.00011",
"title": "Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax",
"normalizedTitle": "Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax",
"abstract": "Tax evasion is as old as tax itself. In this paper, we devise a technique to predict the amount of tax-revenue lost by the state due to unscrupulous actions from a particular set of suspicious dealers. For the same, we build a regression model using the tax-return information of genuine business dealers and predict the amount of tax evaded by suspicious business dealers. Dealers are classified as genuine or suspicious by applying Benford's analysis on the different group of dealers formed after running k-medoids clustering algorithm over a set of dealers. In addition to getting an estimate on the loss of tax-revenue, results obtained from this work aid the tax enforcement officers on taking precautionary measures against tax evasion. The dataset used in the work is provided by the commercial tax department of Telangana state, India.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Tax evasion is as old as tax itself. In this paper, we devise a technique to predict the amount of tax-revenue lost by the state due to unscrupulous actions from a particular set of suspicious dealers. For the same, we build a regression model using the tax-return information of genuine business dealers and predict the amount of tax evaded by suspicious business dealers. Dealers are classified as genuine or suspicious by applying Benford's analysis on the different group of dealers formed after running k-medoids clustering algorithm over a set of dealers. In addition to getting an estimate on the loss of tax-revenue, results obtained from this work aid the tax enforcement officers on taking precautionary measures against tax evasion. The dataset used in the work is provided by the commercial tax department of Telangana state, India.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Tax evasion is as old as tax itself. In this paper, we devise a technique to predict the amount of tax-revenue lost by the state due to unscrupulous actions from a particular set of suspicious dealers. For the same, we build a regression model using the tax-return information of genuine business dealers and predict the amount of tax evaded by suspicious business dealers. Dealers are classified as genuine or suspicious by applying Benford's analysis on the different group of dealers formed after running k-medoids clustering algorithm over a set of dealers. In addition to getting an estimate on the loss of tax-revenue, results obtained from this work aid the tax enforcement officers on taking precautionary measures against tax evasion. The dataset used in the work is provided by the commercial tax department of Telangana state, India.",
"fno": "732500a758",
"keywords": [
"Pattern Clustering",
"Regression Analysis",
"Taxation",
"Tax Revenue",
"Tax Return Information",
"Tax Enforcement Officers",
"Tax Evasion",
"Commercial Tax Department",
"Regression Analysis",
"Business Dealers",
"Telangana State",
"India",
"K Medoids Clustering Algorithm",
"Finance",
"Clustering Algorithms",
"Mathematical Model",
"Predictive Models",
"Regression Analysis",
"Analytical Models",
"Government",
"Correlation Analysis",
"Cluster Analysis",
"Linear Regression",
"Data Mining",
"Social Network Analysis",
"Tax Evasion",
"Goods And Services Tax",
"Forensic Accounting"
],
"authors": [
{
"affiliation": null,
"fullName": "Jithin Mathews",
"givenName": "Jithin",
"surname": "Mathews",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Priya Mehta",
"givenName": "Priya",
"surname": "Mehta",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Suryamukhi Kuchibhotla",
"givenName": "Suryamukhi",
"surname": "Kuchibhotla",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Dikshant Bisht",
"givenName": "Dikshant",
"surname": "Bisht",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Sobhan Babu Chintapalli",
"givenName": "Sobhan Babu",
"surname": "Chintapalli",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "S.V. Kasi Visweswara Rao",
"givenName": "S.V. Kasi",
"surname": "Visweswara Rao",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "wi",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-12-01T00:00:00",
"pubType": "proceedings",
"pages": "758-761",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-7325-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "732500a754",
"articleId": "17D45Wda7eo",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "732500a762",
"articleId": "17D45W2Wyy7",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icde/2017/6543/0/6543a025",
"title": "Mining suspicious tax evasion groups in big data (extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2017/6543a025/12OmNAFFdHM",
"parentPublication": {
"id": "proceedings/icde/2017/6543/0",
"title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/10/07487062",
"title": "Mining Suspicious Tax Evasion Groups in Big Data",
"doi": null,
"abstractUrl": "/journal/tk/2016/10/07487062/13rRUwI5Ugv",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trustcom-bigdatase/2018/4388/0/438801b224",
"title": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"doi": null,
"abstractUrl": "/proceedings-article/trustcom-bigdatase/2018/438801b224/17D45VTRorL",
"parentPublication": {
"id": "proceedings/trustcom-bigdatase/2018/4388/0",
"title": "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006325",
"title": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006325/1hJrIxuILTi",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09005656",
"title": "Unsupervised Conditional Adversarial Networks for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09005656/1hJrQaOQati",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222068",
"title": "<italic>TaxThemis</italic>: Interactive Mining and Exploration of Suspicious Tax Evasion Groups",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222068/1nTqzVqnWU0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a207",
"title": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a207/1nkDn8Avtcs",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a235",
"title": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a235/1nkDqdNCmGY",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378157",
"title": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378157/1s64F8c0RG0",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09459507",
"title": "Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09459507/1uvzUgQQnv2",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1hJrHq07uw0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"acronym": "big-data",
"groupId": "1802964",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1hJrIxuILTi",
"doi": "10.1109/BigData47090.2019.9006325",
"title": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"normalizedTitle": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"abstract": "Tax evasion detection plays a crucial role in reducing tax revenue loss and many efforts have been made to develop detection models based on machine learning techniques. To train an effective model to detect tax evaders, a large amount of data is required, especially sufficient labeled data. However, the expensive and time-consuming annotation process results in small amount of labeled data being available, which makes the development of detection models difficult. To address this issue, we propose a tax evasion detection method based on positive and unlabeled learning (TEDM-PU), to identify tax evasion by utilizing limited annotated tax evasion taxpayers and a large amount of unlabeled data. The TEDM-PU framework consists of three stages: a preprocessing stage extracting taxpayer features based on random forest, a pseudo labeling stage assigning pseudo labels to unlabeled samples based on PUAdapter, and a model training stage based on LightGBM method. To evaluate the effectiveness of our proposed TEDM-PU, we conduct experimental tests on real-world tax data. The results demonstrate that TEDM-PU method can detect tax evaders with higher accuracy and better interpretability than state-of-the-art methods.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Tax evasion detection plays a crucial role in reducing tax revenue loss and many efforts have been made to develop detection models based on machine learning techniques. To train an effective model to detect tax evaders, a large amount of data is required, especially sufficient labeled data. However, the expensive and time-consuming annotation process results in small amount of labeled data being available, which makes the development of detection models difficult. To address this issue, we propose a tax evasion detection method based on positive and unlabeled learning (TEDM-PU), to identify tax evasion by utilizing limited annotated tax evasion taxpayers and a large amount of unlabeled data. The TEDM-PU framework consists of three stages: a preprocessing stage extracting taxpayer features based on random forest, a pseudo labeling stage assigning pseudo labels to unlabeled samples based on PUAdapter, and a model training stage based on LightGBM method. To evaluate the effectiveness of our proposed TEDM-PU, we conduct experimental tests on real-world tax data. The results demonstrate that TEDM-PU method can detect tax evaders with higher accuracy and better interpretability than state-of-the-art methods.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Tax evasion detection plays a crucial role in reducing tax revenue loss and many efforts have been made to develop detection models based on machine learning techniques. To train an effective model to detect tax evaders, a large amount of data is required, especially sufficient labeled data. However, the expensive and time-consuming annotation process results in small amount of labeled data being available, which makes the development of detection models difficult. To address this issue, we propose a tax evasion detection method based on positive and unlabeled learning (TEDM-PU), to identify tax evasion by utilizing limited annotated tax evasion taxpayers and a large amount of unlabeled data. The TEDM-PU framework consists of three stages: a preprocessing stage extracting taxpayer features based on random forest, a pseudo labeling stage assigning pseudo labels to unlabeled samples based on PUAdapter, and a model training stage based on LightGBM method. To evaluate the effectiveness of our proposed TEDM-PU, we conduct experimental tests on real-world tax data. The results demonstrate that TEDM-PU method can detect tax evaders with higher accuracy and better interpretability than state-of-the-art methods.",
"fno": "09006325",
"keywords": [
"Learning Artificial Intelligence",
"Taxation",
"Light GBM Method",
"PU Adapter",
"Time Consuming Annotation Process",
"TEDM PU Method",
"Real World Tax Data",
"Model Training Stage",
"Pseudolabeling Stage",
"TEDM PU Framework",
"Annotated Tax Evasion Taxpayers",
"Tax Evaders",
"Machine Learning Techniques",
"Detection Models",
"Tax Revenue Loss",
"Unlabeled Learning",
"Positive Learning",
"Tax Evasion Detection Method",
"Finance",
"Data Models",
"Feature Extraction",
"Forestry",
"Reliability",
"Training",
"Learning Systems",
"Tax Evasion Detection",
"PU Learning",
"Interpretability"
],
"authors": [
{
"affiliation": "Xi’an Jiaotong University,School of Computer Science and Technology,Xi’an,China",
"fullName": "Yingchao Wu",
"givenName": "Yingchao",
"surname": "Wu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,School of Computer Science and Technology,Xi’an,China",
"fullName": "Qinghua Zheng",
"givenName": "Qinghua",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab,Xi’an,China",
"fullName": "Yuda Gao",
"givenName": "Yuda",
"surname": "Gao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,School of Distance Education NEL for Big Data Analytics,Xi’an,China",
"fullName": "Bo Dong",
"givenName": "Bo",
"surname": "Dong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,Qian Xuesen College,Xi’an,China",
"fullName": "Rongzhe Wei",
"givenName": "Rongzhe",
"surname": "Wei",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab,Xi’an,China",
"fullName": "Fa Zhang",
"givenName": "Fa",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab,Xi’an,China",
"fullName": "Huan He",
"givenName": "Huan",
"surname": "He",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "big-data",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-12-01T00:00:00",
"pubType": "proceedings",
"pages": "1681-1686",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-0858-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09005656",
"articleId": "1hJrQaOQati",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09005609",
"articleId": "1hJsx0eS0mY",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icde/2017/6543/0/6543a025",
"title": "Mining suspicious tax evasion groups in big data (extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2017/6543a025/12OmNAFFdHM",
"parentPublication": {
"id": "proceedings/icde/2017/6543/0",
"title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icmew/2017/0560/0/08026296",
"title": "PU-LP: A novel approach for positive and unlabeled learning by label propagation",
"doi": null,
"abstractUrl": "/proceedings-article/icmew/2017/08026296/12OmNx7G66W",
"parentPublication": {
"id": "proceedings/icmew/2017/0560/0",
"title": "2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trustcom-bigdatase/2018/4388/0/438801b224",
"title": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"doi": null,
"abstractUrl": "/proceedings-article/trustcom-bigdatase/2018/438801b224/17D45VTRorL",
"parentPublication": {
"id": "proceedings/trustcom-bigdatase/2018/4388/0",
"title": "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2018/7325/0/732500a758",
"title": "Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2018/732500a758/17D45WnnFXf",
"parentPublication": {
"id": "proceedings/wi/2018/7325/0",
"title": "2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09005656",
"title": "Unsupervised Conditional Adversarial Networks for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09005656/1hJrQaOQati",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222068",
"title": "<italic>TaxThemis</italic>: Interactive Mining and Exploration of Suspicious Tax Evasion Groups",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222068/1nTqzVqnWU0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a207",
"title": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a207/1nkDn8Avtcs",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a235",
"title": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a235/1nkDqdNCmGY",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378157",
"title": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378157/1s64F8c0RG0",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09459507",
"title": "Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09459507/1uvzUgQQnv2",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1hJrHq07uw0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"acronym": "big-data",
"groupId": "1802964",
"volume": "0",
"displayVolume": "0",
"year": "2019",
"__typename": "ProceedingType"
},
"article": {
"id": "1hJrQaOQati",
"doi": "10.1109/BigData47090.2019.9005656",
"title": "Unsupervised Conditional Adversarial Networks for Tax Evasion Detection",
"normalizedTitle": "Unsupervised Conditional Adversarial Networks for Tax Evasion Detection",
"abstract": "The identification of tax evasion plays an important role in ensuring tax order, promoting the level of tax collection and management, and reducing tax losses. With the advancements in data mining technology, many machine learning techniques have yielded results in identifying tax evasion. However, to realize satisfactory performance, these models require large amounts of human annotated data. In the tax field, unlabeled tax data are abundant, data annotation in a single region is expensive, and the distributions of characteristics differ among regions; these factors pose substantial difficulties in the development of an identification model. Existing tax evasion detection methods are either trained for single-region tasks, in which case they perform poorly on inter-region tax evasion identification due to the discrepancies in feature distributions, or utilize labeled data from both the target-task field and different but related auxiliary fields to reuse and transfer knowledge of the target domain data, in which case they cannot deal with scenarios in which there are no labeled data in target audit tasks. Although current unsupervised transfer learning techniques can train models in labeled regions for unlabeled regions, large intra-class distribution discrepancies cannot be perfectly minimized in tax evasion detection scenarios. To better address the above challenges, this paper proposes a general architecture, namely, the unsupervised conditional adversarial networks (UCAN) for tax evasion detection, which is the first approach to solve audit tasks in unlabeled target domains via inter-region transfer. Our architecture establishes an adversarial neural network adding label information in the distribution adapter, which can granularly adapt the joint probability distribution (JPD) of the data. We introduce a constraint that is based on the conditional maximum mean discrepancy (CMMD) of the extracted features to align the conditional probability distribution (CPD) of the deep representation. Our model is formed by combining the distribution adapter and the label predictor to realize end-to-end learning of unsupervised feature transfer. The experimental results demonstrate the outstanding performance of our model in all migration tasks compared with state-of-the-art approaches.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The identification of tax evasion plays an important role in ensuring tax order, promoting the level of tax collection and management, and reducing tax losses. With the advancements in data mining technology, many machine learning techniques have yielded results in identifying tax evasion. However, to realize satisfactory performance, these models require large amounts of human annotated data. In the tax field, unlabeled tax data are abundant, data annotation in a single region is expensive, and the distributions of characteristics differ among regions; these factors pose substantial difficulties in the development of an identification model. Existing tax evasion detection methods are either trained for single-region tasks, in which case they perform poorly on inter-region tax evasion identification due to the discrepancies in feature distributions, or utilize labeled data from both the target-task field and different but related auxiliary fields to reuse and transfer knowledge of the target domain data, in which case they cannot deal with scenarios in which there are no labeled data in target audit tasks. Although current unsupervised transfer learning techniques can train models in labeled regions for unlabeled regions, large intra-class distribution discrepancies cannot be perfectly minimized in tax evasion detection scenarios. To better address the above challenges, this paper proposes a general architecture, namely, the unsupervised conditional adversarial networks (UCAN) for tax evasion detection, which is the first approach to solve audit tasks in unlabeled target domains via inter-region transfer. Our architecture establishes an adversarial neural network adding label information in the distribution adapter, which can granularly adapt the joint probability distribution (JPD) of the data. We introduce a constraint that is based on the conditional maximum mean discrepancy (CMMD) of the extracted features to align the conditional probability distribution (CPD) of the deep representation. Our model is formed by combining the distribution adapter and the label predictor to realize end-to-end learning of unsupervised feature transfer. The experimental results demonstrate the outstanding performance of our model in all migration tasks compared with state-of-the-art approaches.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The identification of tax evasion plays an important role in ensuring tax order, promoting the level of tax collection and management, and reducing tax losses. With the advancements in data mining technology, many machine learning techniques have yielded results in identifying tax evasion. However, to realize satisfactory performance, these models require large amounts of human annotated data. In the tax field, unlabeled tax data are abundant, data annotation in a single region is expensive, and the distributions of characteristics differ among regions; these factors pose substantial difficulties in the development of an identification model. Existing tax evasion detection methods are either trained for single-region tasks, in which case they perform poorly on inter-region tax evasion identification due to the discrepancies in feature distributions, or utilize labeled data from both the target-task field and different but related auxiliary fields to reuse and transfer knowledge of the target domain data, in which case they cannot deal with scenarios in which there are no labeled data in target audit tasks. Although current unsupervised transfer learning techniques can train models in labeled regions for unlabeled regions, large intra-class distribution discrepancies cannot be perfectly minimized in tax evasion detection scenarios. To better address the above challenges, this paper proposes a general architecture, namely, the unsupervised conditional adversarial networks (UCAN) for tax evasion detection, which is the first approach to solve audit tasks in unlabeled target domains via inter-region transfer. Our architecture establishes an adversarial neural network adding label information in the distribution adapter, which can granularly adapt the joint probability distribution (JPD) of the data. We introduce a constraint that is based on the conditional maximum mean discrepancy (CMMD) of the extracted features to align the conditional probability distribution (CPD) of the deep representation. Our model is formed by combining the distribution adapter and the label predictor to realize end-to-end learning of unsupervised feature transfer. The experimental results demonstrate the outstanding performance of our model in all migration tasks compared with state-of-the-art approaches.",
"fno": "09005656",
"keywords": [
"Data Mining",
"Financial Data Processing",
"Neural Nets",
"Probability",
"Taxation",
"Unsupervised Learning",
"UCAN",
"Unsupervised Transfer Learning Techniques",
"Audit Tasks",
"Adversarial Neural Network",
"Tax Evasion Detection Scenarios",
"Intra Class Distribution Discrepancies",
"Feature Distributions",
"Inter Region Tax Evasion Identification",
"Single Region Tasks",
"Tax Evasion Detection Methods",
"Data Annotation",
"Unlabeled Tax Data",
"Tax Field",
"Human Annotated Data",
"Machine Learning Techniques",
"Data Mining Technology",
"Tax Losses",
"Tax Collection",
"Tax Order",
"Unsupervised Conditional Adversarial Networks",
"Unsupervised Feature Transfer",
"Conditional Probability Distribution",
"Distribution Adapter",
"Finance",
"Feature Extraction",
"Task Analysis",
"Adaptation Models",
"Computer Architecture",
"Data Models",
"Data Mining",
"Unsupervised Transductive Transfer Learning",
"Tax Evasion Detection",
"Distribution Adaptation",
"Adversarial Networks"
],
"authors": [
{
"affiliation": "Xi’an, Jiaotong University,Qian Xuesen College, School of Mathematics and Statisitcs,Xi’an,China",
"fullName": "Rongzhe Wei",
"givenName": "Rongzhe",
"surname": "Wei",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,National Engineering Lab of Big Data Analytics, School of Distance Education,Xi’an,China",
"fullName": "Bo Dong",
"givenName": "Bo",
"surname": "Dong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,School of Computer Science and Technology,Xi’an,China",
"fullName": "Qinghua Zheng",
"givenName": "Qinghua",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab,Xi’an,China",
"fullName": "Xulyu Zhu",
"givenName": "Xulyu",
"surname": "Zhu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab,Xi’an,China",
"fullName": "Jianfei Ruan",
"givenName": "Jianfei",
"surname": "Ruan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab,Xi’an,China",
"fullName": "Huan He",
"givenName": "Huan",
"surname": "He",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "big-data",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2019-12-01T00:00:00",
"pubType": "proceedings",
"pages": "1675-1680",
"year": "2019",
"issn": null,
"isbn": "978-1-7281-0858-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09005985",
"articleId": "1hJs2sxHjJm",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09006325",
"articleId": "1hJrIxuILTi",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icde/2017/6543/0/6543a025",
"title": "Mining suspicious tax evasion groups in big data (extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2017/6543a025/12OmNAFFdHM",
"parentPublication": {
"id": "proceedings/icde/2017/6543/0",
"title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/10/07487062",
"title": "Mining Suspicious Tax Evasion Groups in Big Data",
"doi": null,
"abstractUrl": "/journal/tk/2016/10/07487062/13rRUwI5Ugv",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trustcom-bigdatase/2018/4388/0/438801b224",
"title": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"doi": null,
"abstractUrl": "/proceedings-article/trustcom-bigdatase/2018/438801b224/17D45VTRorL",
"parentPublication": {
"id": "proceedings/trustcom-bigdatase/2018/4388/0",
"title": "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2018/7325/0/732500a758",
"title": "Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2018/732500a758/17D45WnnFXf",
"parentPublication": {
"id": "proceedings/wi/2018/7325/0",
"title": "2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006325",
"title": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006325/1hJrIxuILTi",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222068",
"title": "<italic>TaxThemis</italic>: Interactive Mining and Exploration of Suspicious Tax Evasion Groups",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222068/1nTqzVqnWU0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a207",
"title": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a207/1nkDn8Avtcs",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a235",
"title": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a235/1nkDqdNCmGY",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378157",
"title": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378157/1s64F8c0RG0",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09459507",
"title": "Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09459507/1uvzUgQQnv2",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1nkDclx75Kg",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"acronym": "compsac",
"groupId": "1000143",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1nkDn8Avtcs",
"doi": "10.1109/COMPSAC48688.2020.00036",
"title": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"normalizedTitle": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"abstract": "Tax evasion usually refers to taxpayers making false declarations in order to reduce their tax obligations. One of the most common types of tax evasion is to lower the declared taxable amount. This kind of behavior will lead to the loss of tax revenues and damage the fairness of taxation. One of the main roles of the tax authorities is to conduct tax evasion testing through efficient auditing methods. At present, by using machine learning technology along with large amounts of labeled data, tax evasion detection models have achieved good results in specific areas. However, it is a long and costly process for tax experts to label large amounts of data. Since, the data distribution characteristics vary from region to region, models cannot be used across regions. In this paper, we propose a new method called a transferable tax evasion detection method based on positive and unlabeled learning (TTED-PU), which uses only semi-supervised techniques to detect tax evasion in the source domain. In addition, we use the idea of transfer to adapt to the domain to predict tax evasion behavior on the target domain where labeled tax data are unavailable. We evaluate our method on real-world tax data set. The experimental results show that our model can detect tax evasion in both the source and target domains.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Tax evasion usually refers to taxpayers making false declarations in order to reduce their tax obligations. One of the most common types of tax evasion is to lower the declared taxable amount. This kind of behavior will lead to the loss of tax revenues and damage the fairness of taxation. One of the main roles of the tax authorities is to conduct tax evasion testing through efficient auditing methods. At present, by using machine learning technology along with large amounts of labeled data, tax evasion detection models have achieved good results in specific areas. However, it is a long and costly process for tax experts to label large amounts of data. Since, the data distribution characteristics vary from region to region, models cannot be used across regions. In this paper, we propose a new method called a transferable tax evasion detection method based on positive and unlabeled learning (TTED-PU), which uses only semi-supervised techniques to detect tax evasion in the source domain. In addition, we use the idea of transfer to adapt to the domain to predict tax evasion behavior on the target domain where labeled tax data are unavailable. We evaluate our method on real-world tax data set. The experimental results show that our model can detect tax evasion in both the source and target domains.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Tax evasion usually refers to taxpayers making false declarations in order to reduce their tax obligations. One of the most common types of tax evasion is to lower the declared taxable amount. This kind of behavior will lead to the loss of tax revenues and damage the fairness of taxation. One of the main roles of the tax authorities is to conduct tax evasion testing through efficient auditing methods. At present, by using machine learning technology along with large amounts of labeled data, tax evasion detection models have achieved good results in specific areas. However, it is a long and costly process for tax experts to label large amounts of data. Since, the data distribution characteristics vary from region to region, models cannot be used across regions. In this paper, we propose a new method called a transferable tax evasion detection method based on positive and unlabeled learning (TTED-PU), which uses only semi-supervised techniques to detect tax evasion in the source domain. In addition, we use the idea of transfer to adapt to the domain to predict tax evasion behavior on the target domain where labeled tax data are unavailable. We evaluate our method on real-world tax data set. The experimental results show that our model can detect tax evasion in both the source and target domains.",
"fno": "730300a207",
"keywords": [
"Auditing",
"Data Analysis",
"Supervised Learning",
"Taxation",
"Labeled Tax Data",
"Real World Tax Data Set",
"Transferable Tax Evasion Detection Method",
"Positive Learning",
"Unlabeled Learning",
"Tax Revenues",
"Tax Authorities",
"Tax Experts",
"TTED PU",
"Tax Evasion Testing",
"Auditing Methods",
"Machine Learning Technology",
"Data Distribution Characteristics",
"Semisupervised Techniques",
"Tax Evasion Behavior Prediction",
"Finance",
"Data Mining",
"Machine Learning",
"Data Models",
"Learning Systems",
"Adaptation Models",
"Feature Extraction",
"Tax Evasion Transfer Learning Positive And Unlabeled Learning"
],
"authors": [
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Fa Zhang",
"givenName": "Fa",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Bin Shi",
"givenName": "Bin",
"surname": "Shi",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Bo Dong",
"givenName": "Bo",
"surname": "Dong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Qinghua Zheng",
"givenName": "Qinghua",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Baidu Inc.",
"fullName": "Xiangting Ji",
"givenName": "Xiangting",
"surname": "Ji",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "compsac",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-07-01T00:00:00",
"pubType": "proceedings",
"pages": "207-216",
"year": "2020",
"issn": "0730-3157",
"isbn": "978-1-7281-7303-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "730300a201",
"articleId": "1nkDfPTZMZi",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "730300a217",
"articleId": "1nkDdCdYvra",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icde/2017/6543/0/6543a025",
"title": "Mining suspicious tax evasion groups in big data (extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2017/6543a025/12OmNAFFdHM",
"parentPublication": {
"id": "proceedings/icde/2017/6543/0",
"title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/10/07487062",
"title": "Mining Suspicious Tax Evasion Groups in Big Data",
"doi": null,
"abstractUrl": "/journal/tk/2016/10/07487062/13rRUwI5Ugv",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trustcom-bigdatase/2018/4388/0/438801b224",
"title": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"doi": null,
"abstractUrl": "/proceedings-article/trustcom-bigdatase/2018/438801b224/17D45VTRorL",
"parentPublication": {
"id": "proceedings/trustcom-bigdatase/2018/4388/0",
"title": "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2018/7325/0/732500a758",
"title": "Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2018/732500a758/17D45WnnFXf",
"parentPublication": {
"id": "proceedings/wi/2018/7325/0",
"title": "2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006325",
"title": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006325/1hJrIxuILTi",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09005656",
"title": "Unsupervised Conditional Adversarial Networks for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09005656/1hJrQaOQati",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222068",
"title": "<italic>TaxThemis</italic>: Interactive Mining and Exploration of Suspicious Tax Evasion Groups",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222068/1nTqzVqnWU0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a235",
"title": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a235/1nkDqdNCmGY",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378157",
"title": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378157/1s64F8c0RG0",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09459507",
"title": "Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09459507/1uvzUgQQnv2",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1nkDclx75Kg",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"acronym": "compsac",
"groupId": "1000143",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1nkDqdNCmGY",
"doi": "10.1109/COMPSAC48688.2020.00039",
"title": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"normalizedTitle": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"abstract": "Tax evasion usually refers to the false declaration of taxpayers to reduce their tax obligations; this type of behavior leads to the loss of taxes and damage to the fair principle of taxation. Tax evasion detection plays a crucial role in reducing tax revenue loss. Currently, efficient auditing methods mainly include traditional data-mining-oriented methods, which cannot be well adapted to the increasingly complicated transaction relationships between taxpayers. Driven by this requirement, recent studies have been conducted by establishing a transaction network and applying the graphical pattern matching algorithm for tax evasion identification. However, such methods rely on expert experience to extract the tax evasion chart pattern, which is time-consuming and labor-intensive. More importantly, taxpayers' basic attributes are not considered and the dual identity of the taxpayer in the transaction network is not well retained. To address this issue, we have proposed a novel tax evasion detection framework via fused transaction network representation (TED-TNR), to detecting tax evasion based on fused transaction network representation, which jointly embeds transaction network topological information and basic taxpayer attributes into low-dimensional vector space, and considers the dual identity of the taxpayer in the transaction network. Finally, we conducted experimental tests on real-world tax data, revealing the superiority of our method, compared with state-of-the-art models.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Tax evasion usually refers to the false declaration of taxpayers to reduce their tax obligations; this type of behavior leads to the loss of taxes and damage to the fair principle of taxation. Tax evasion detection plays a crucial role in reducing tax revenue loss. Currently, efficient auditing methods mainly include traditional data-mining-oriented methods, which cannot be well adapted to the increasingly complicated transaction relationships between taxpayers. Driven by this requirement, recent studies have been conducted by establishing a transaction network and applying the graphical pattern matching algorithm for tax evasion identification. However, such methods rely on expert experience to extract the tax evasion chart pattern, which is time-consuming and labor-intensive. More importantly, taxpayers' basic attributes are not considered and the dual identity of the taxpayer in the transaction network is not well retained. To address this issue, we have proposed a novel tax evasion detection framework via fused transaction network representation (TED-TNR), to detecting tax evasion based on fused transaction network representation, which jointly embeds transaction network topological information and basic taxpayer attributes into low-dimensional vector space, and considers the dual identity of the taxpayer in the transaction network. Finally, we conducted experimental tests on real-world tax data, revealing the superiority of our method, compared with state-of-the-art models.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Tax evasion usually refers to the false declaration of taxpayers to reduce their tax obligations; this type of behavior leads to the loss of taxes and damage to the fair principle of taxation. Tax evasion detection plays a crucial role in reducing tax revenue loss. Currently, efficient auditing methods mainly include traditional data-mining-oriented methods, which cannot be well adapted to the increasingly complicated transaction relationships between taxpayers. Driven by this requirement, recent studies have been conducted by establishing a transaction network and applying the graphical pattern matching algorithm for tax evasion identification. However, such methods rely on expert experience to extract the tax evasion chart pattern, which is time-consuming and labor-intensive. More importantly, taxpayers' basic attributes are not considered and the dual identity of the taxpayer in the transaction network is not well retained. To address this issue, we have proposed a novel tax evasion detection framework via fused transaction network representation (TED-TNR), to detecting tax evasion based on fused transaction network representation, which jointly embeds transaction network topological information and basic taxpayer attributes into low-dimensional vector space, and considers the dual identity of the taxpayer in the transaction network. Finally, we conducted experimental tests on real-world tax data, revealing the superiority of our method, compared with state-of-the-art models.",
"fno": "730300a235",
"keywords": [
"Auditing",
"Data Analysis",
"Data Mining",
"Pattern Matching",
"Taxation",
"Fused Transaction Network Representation",
"Tax Obligations",
"Tax Revenue Loss",
"Data Mining",
"Tax Evasion Identification",
"Tax Evasion Chart Pattern",
"Transaction Network Topological Information",
"Tax Evasion Detection Framework",
"Auditing Methods",
"Graphical Pattern Matching",
"Finance",
"Biological System Modeling",
"Data Models",
"Data Mining",
"Pattern Matching",
"Computer Science",
"Economics",
"Transaction Network Network Representation Learning Tax Evasion Detection"
],
"authors": [
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Yingchao Wu",
"givenName": "Yingchao",
"surname": "Wu",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Bo Dong",
"givenName": "Bo",
"surname": "Dong",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Qinghua Zheng",
"givenName": "Qinghua",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Rongzhe Wei",
"givenName": "Rongzhe",
"surname": "Wei",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University, China",
"fullName": "Zhiwen Wang",
"givenName": "Zhiwen",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Baidu Inc., China",
"fullName": "Xuanya Li",
"givenName": "Xuanya",
"surname": "Li",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "compsac",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-07-01T00:00:00",
"pubType": "proceedings",
"pages": "235-244",
"year": "2020",
"issn": "0730-3157",
"isbn": "978-1-7281-7303-0",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "730300a225",
"articleId": "1nkDqqGFbQA",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "730300a245",
"articleId": "1nkDpuOcfsY",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icde/2017/6543/0/6543a025",
"title": "Mining suspicious tax evasion groups in big data (extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2017/6543a025/12OmNAFFdHM",
"parentPublication": {
"id": "proceedings/icde/2017/6543/0",
"title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/10/07487062",
"title": "Mining Suspicious Tax Evasion Groups in Big Data",
"doi": null,
"abstractUrl": "/journal/tk/2016/10/07487062/13rRUwI5Ugv",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trustcom-bigdatase/2018/4388/0/438801b224",
"title": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"doi": null,
"abstractUrl": "/proceedings-article/trustcom-bigdatase/2018/438801b224/17D45VTRorL",
"parentPublication": {
"id": "proceedings/trustcom-bigdatase/2018/4388/0",
"title": "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2022/8045/0/10020707",
"title": "Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2022/10020707/1KfT0cztUR2",
"parentPublication": {
"id": "proceedings/big-data/2022/8045/0",
"title": "2022 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icedeg/2019/1704/0/08734342",
"title": "Data Mining Techniques Applied in Tax Administrations: A Literature Review",
"doi": null,
"abstractUrl": "/proceedings-article/icedeg/2019/08734342/1aPuUsoWbYs",
"parentPublication": {
"id": "proceedings/icedeg/2019/1704/0",
"title": "2019 Sixth International Conference on eDemocracy & eGovernment (ICEDEG)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006325",
"title": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006325/1hJrIxuILTi",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222068",
"title": "<italic>TaxThemis</italic>: Interactive Mining and Exploration of Suspicious Tax Evasion Groups",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222068/1nTqzVqnWU0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a207",
"title": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a207/1nkDn8Avtcs",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2020/6251/0/09378157",
"title": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2020/09378157/1s64F8c0RG0",
"parentPublication": {
"id": "proceedings/big-data/2020/6251/0",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09459507",
"title": "Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09459507/1uvzUgQQnv2",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1s645BaTzVu",
"title": "2020 IEEE International Conference on Big Data (Big Data)",
"acronym": "big-data",
"groupId": "1802964",
"volume": "0",
"displayVolume": "0",
"year": "2020",
"__typename": "ProceedingType"
},
"article": {
"id": "1s64F8c0RG0",
"doi": "10.1109/BigData50022.2020.9378157",
"title": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"normalizedTitle": "T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection",
"abstract": "Tax evasion refers to the illegal act of taxpayers using deception and concealment to avoid paying taxes. How to detect tax evasion effectively is always an important topic for the government and academic researchers. Recent research has proposed using machine learning technologies to detect tax evasion and has achieved good results in some specific conditions. However, recent methods have three shortcomings. First, recent methods mainly use the basic features extracted based on expert experience. Second, recent methods do not make full use of the edge features of the transaction network. Third, recent methods cannot adapt to a dynamic transaction network. To overcome these challenges, we propose a novel tax evasion detection method, the temporal edge enhanced graph attention network (T-EGAT), which combines the edge enhanced graph attention network (EGAT) and the recurrent weighted average unit (RWA). Specifically, the EGAT is used to learn complex topological structures for capturing spatial dependence and the RWA is used to learn the dynamic changes of transaction data for capturing temporal dependence. Experimental tests using real-world tax data demonstrate that our method achieves better performance at detecting tax evaders than existing methods.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Tax evasion refers to the illegal act of taxpayers using deception and concealment to avoid paying taxes. How to detect tax evasion effectively is always an important topic for the government and academic researchers. Recent research has proposed using machine learning technologies to detect tax evasion and has achieved good results in some specific conditions. However, recent methods have three shortcomings. First, recent methods mainly use the basic features extracted based on expert experience. Second, recent methods do not make full use of the edge features of the transaction network. Third, recent methods cannot adapt to a dynamic transaction network. To overcome these challenges, we propose a novel tax evasion detection method, the temporal edge enhanced graph attention network (T-EGAT), which combines the edge enhanced graph attention network (EGAT) and the recurrent weighted average unit (RWA). Specifically, the EGAT is used to learn complex topological structures for capturing spatial dependence and the RWA is used to learn the dynamic changes of transaction data for capturing temporal dependence. Experimental tests using real-world tax data demonstrate that our method achieves better performance at detecting tax evaders than existing methods.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Tax evasion refers to the illegal act of taxpayers using deception and concealment to avoid paying taxes. How to detect tax evasion effectively is always an important topic for the government and academic researchers. Recent research has proposed using machine learning technologies to detect tax evasion and has achieved good results in some specific conditions. However, recent methods have three shortcomings. First, recent methods mainly use the basic features extracted based on expert experience. Second, recent methods do not make full use of the edge features of the transaction network. Third, recent methods cannot adapt to a dynamic transaction network. To overcome these challenges, we propose a novel tax evasion detection method, the temporal edge enhanced graph attention network (T-EGAT), which combines the edge enhanced graph attention network (EGAT) and the recurrent weighted average unit (RWA). Specifically, the EGAT is used to learn complex topological structures for capturing spatial dependence and the RWA is used to learn the dynamic changes of transaction data for capturing temporal dependence. Experimental tests using real-world tax data demonstrate that our method achieves better performance at detecting tax evaders than existing methods.",
"fno": "09378157",
"keywords": [
"Data Analysis",
"Data Mining",
"Feature Extraction",
"Graph Theory",
"Learning Artificial Intelligence",
"Taxation",
"Traffic Engineering Computing",
"T EGAT",
"Temporal Edge",
"Graph Attention Network",
"Taxes",
"Government",
"Machine Learning Technologies",
"Edge Features",
"Dynamic Transaction Network",
"Tax Evasion Detection Method",
"Real World Tax Data",
"Tax Evaders",
"Image Edge Detection",
"Neural Networks",
"Finance",
"Big Data",
"Feature Extraction",
"Data Models",
"Task Analysis",
"Tax Evasion Detection",
"Attention Mechanism",
"Graph Neural Network",
"Dynamic Transaction Network"
],
"authors": [
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab, School of Computer Science and Technology",
"fullName": "Yiyang Wang",
"givenName": "Yiyang",
"surname": "Wang",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab, School of Computer Science and Technology",
"fullName": "Qinghua Zheng",
"givenName": "Qinghua",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab, School of Computer Science and Technology",
"fullName": "Jianfei Ruan",
"givenName": "Jianfei",
"surname": "Ruan",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab, School of Computer Science and Technology",
"fullName": "Yuda Gao",
"givenName": "Yuda",
"surname": "Gao",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,SPKLSTN Lab, School of Computer Science and Technology",
"fullName": "Yan Chen",
"givenName": "Yan",
"surname": "Chen",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Baidu Inc.",
"fullName": "Xuanya Li",
"givenName": "Xuanya",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Xi’an Jiaotong University,National Engineering Lab of Big Data Analytics, School of Distance Education",
"fullName": "Bo Dong",
"givenName": "Bo",
"surname": "Dong",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "big-data",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2020-12-01T00:00:00",
"pubType": "proceedings",
"pages": "1410-1415",
"year": "2020",
"issn": null,
"isbn": "978-1-7281-6251-5",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "09378439",
"articleId": "1s657uzUT0Q",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "09378209",
"articleId": "1s64ISTGl1e",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icde/2017/6543/0/6543a025",
"title": "Mining suspicious tax evasion groups in big data (extended abstract)",
"doi": null,
"abstractUrl": "/proceedings-article/icde/2017/6543a025/12OmNAFFdHM",
"parentPublication": {
"id": "proceedings/icde/2017/6543/0",
"title": "2017 IEEE 33rd International Conference on Data Engineering (ICDE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2016/10/07487062",
"title": "Mining Suspicious Tax Evasion Groups in Big Data",
"doi": null,
"abstractUrl": "/journal/tk/2016/10/07487062/13rRUwI5Ugv",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/trustcom-bigdatase/2018/4388/0/438801b224",
"title": "IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning",
"doi": null,
"abstractUrl": "/proceedings-article/trustcom-bigdatase/2018/438801b224/17D45VTRorL",
"parentPublication": {
"id": "proceedings/trustcom-bigdatase/2018/4388/0",
"title": "2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/wi/2018/7325/0/732500a758",
"title": "Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax",
"doi": null,
"abstractUrl": "/proceedings-article/wi/2018/732500a758/17D45WnnFXf",
"parentPublication": {
"id": "proceedings/wi/2018/7325/0",
"title": "2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09006325",
"title": "TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09006325/1hJrIxuILTi",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/big-data/2019/0858/0/09005656",
"title": "Unsupervised Conditional Adversarial Networks for Tax Evasion Detection",
"doi": null,
"abstractUrl": "/proceedings-article/big-data/2019/09005656/1hJrQaOQati",
"parentPublication": {
"id": "proceedings/big-data/2019/0858/0",
"title": "2019 IEEE International Conference on Big Data (Big Data)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222068",
"title": "<italic>TaxThemis</italic>: Interactive Mining and Exploration of Suspicious Tax Evasion Groups",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222068/1nTqzVqnWU0",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a207",
"title": "TTED-PU:A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a207/1nkDn8Avtcs",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/compsac/2020/7303/0/730300a235",
"title": "A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation",
"doi": null,
"abstractUrl": "/proceedings-article/compsac/2020/730300a235/1nkDqdNCmGY",
"parentPublication": {
"id": "proceedings/compsac/2020/7303/0",
"title": "2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tk/2023/01/09459507",
"title": "Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning",
"doi": null,
"abstractUrl": "/journal/tk/2023/01/09459507/1uvzUgQQnv2",
"parentPublication": {
"id": "trans/tk",
"title": "IEEE Transactions on Knowledge & Data Engineering",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "17D45VtKiqH",
"title": "2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)",
"acronym": "bdva",
"groupId": "1809805",
"volume": "0",
"displayVolume": "0",
"year": "2018",
"__typename": "ProceedingType"
},
"article": {
"id": "17D45WgziPn",
"doi": "10.1109/BDVA.2018.8534024",
"title": "Tangible Braille Plot: Tangibly Exploring Geo-Temporal Data in Virtual Reality",
"normalizedTitle": "Tangible Braille Plot: Tangibly Exploring Geo-Temporal Data in Virtual Reality",
"abstract": "Despite the resurgence of virtual reality (VR), the primary method of interacting with the environment is using generic controllers. Given the often-purpose-built nature of applications within VR, this is surprising, as despite the effort put into the design of the application itself, the same attention is not paid to the input control. This is despite the advantages that tangible interfaces have for user understanding, especially in the context of visualization, where user understanding is paramount. This paper presents the adaptation of a previous 2D temporal-geospatial visualization into VR, and more importantly, describes the development of a novel 8DOF Tangible User Interface developed to support the exploration of that data. For our application, this centers around the exploration of geospatial data to explore colocation and divergence of entities, but could easily be extended to other domains. We present our novel controller as an example of the benefits of the utilization of purpose built physical controllers as a first-tier method of enabling immersive analytics. We describe the immersive system and controller, followed by an example use case and other applications encouraging further development of novel tangibles as a key component of immersive data analytics.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Despite the resurgence of virtual reality (VR), the primary method of interacting with the environment is using generic controllers. Given the often-purpose-built nature of applications within VR, this is surprising, as despite the effort put into the design of the application itself, the same attention is not paid to the input control. This is despite the advantages that tangible interfaces have for user understanding, especially in the context of visualization, where user understanding is paramount. This paper presents the adaptation of a previous 2D temporal-geospatial visualization into VR, and more importantly, describes the development of a novel 8DOF Tangible User Interface developed to support the exploration of that data. For our application, this centers around the exploration of geospatial data to explore colocation and divergence of entities, but could easily be extended to other domains. We present our novel controller as an example of the benefits of the utilization of purpose built physical controllers as a first-tier method of enabling immersive analytics. We describe the immersive system and controller, followed by an example use case and other applications encouraging further development of novel tangibles as a key component of immersive data analytics.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Despite the resurgence of virtual reality (VR), the primary method of interacting with the environment is using generic controllers. Given the often-purpose-built nature of applications within VR, this is surprising, as despite the effort put into the design of the application itself, the same attention is not paid to the input control. This is despite the advantages that tangible interfaces have for user understanding, especially in the context of visualization, where user understanding is paramount. This paper presents the adaptation of a previous 2D temporal-geospatial visualization into VR, and more importantly, describes the development of a novel 8DOF Tangible User Interface developed to support the exploration of that data. For our application, this centers around the exploration of geospatial data to explore colocation and divergence of entities, but could easily be extended to other domains. We present our novel controller as an example of the benefits of the utilization of purpose built physical controllers as a first-tier method of enabling immersive analytics. We describe the immersive system and controller, followed by an example use case and other applications encouraging further development of novel tangibles as a key component of immersive data analytics.",
"fno": "08534024",
"keywords": [
"Data Visualization",
"Two Dimensional Displays",
"Geospatial Analysis",
"Three Dimensional Displays",
"Input Devices",
"Visualization"
],
"authors": [
{
"affiliation": null,
"fullName": "James Walsh",
"givenName": "James",
"surname": "Walsh",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Andrew Cunningham",
"givenName": "Andrew",
"surname": "Cunningham",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Ross Smith",
"givenName": "Ross",
"surname": "Smith",
"__typename": "ArticleAuthorType"
},
{
"affiliation": null,
"fullName": "Bruce Thomas",
"givenName": "Bruce",
"surname": "Thomas",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "bdva",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2018-10-01T00:00:00",
"pubType": "proceedings",
"pages": "1-6",
"year": "2018",
"issn": null,
"isbn": "978-1-5386-9194-6",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "08534023",
"articleId": "17D45WIXbOL",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "08534025",
"articleId": "17D45XoXP4N",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/ismarw/2016/3740/0/07836500",
"title": "A Tangible Volume for Portable 3D Interaction",
"doi": null,
"abstractUrl": "/proceedings-article/ismarw/2016/07836500/12OmNCm7BGU",
"parentPublication": {
"id": "proceedings/ismarw/2016/3740/0",
"title": "2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/pacificvis/2011/935/0/05742383",
"title": "Exploring geo-temporal differences using GTdiff",
"doi": null,
"abstractUrl": "/proceedings-article/pacificvis/2011/05742383/12OmNzIUfN9",
"parentPublication": {
"id": "proceedings/pacificvis/2011/935/0",
"title": "2011 IEEE Pacific Visualization Symposium (PacificVis)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2010/06/ttg2010061605",
"title": "TanGeoMS: Tangible Geospatial Modeling System",
"doi": null,
"abstractUrl": "/journal/tg/2010/06/ttg2010061605/13rRUxcbnCo",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2022/8402/0/840200a936",
"title": "[DC] Immersive Analytics for Understanding Ecosystem Services Tradeoffs",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2022/840200a936/1CJcFsf3SU0",
"parentPublication": {
"id": "proceedings/vrw/2022/8402/0",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2022/9617/0/961700a812",
"title": "Tangiball: Foot-Enabled Embodied Tangible Interaction with a Ball in Virtual Reality",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2022/961700a812/1CJczvrAl0Y",
"parentPublication": {
"id": "proceedings/vr/2022/9617/0",
"title": "2022 IEEE on Conference Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08797869",
"title": "Feel the Globe: Enhancing the Perception of Immersive Spherical Visualizations with Tangible Proxies",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08797869/1cJ0LTyanRu",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2019/1377/0/08797887",
"title": "Sphere in Hand: Exploring Tangible Interaction with Immersive Spherical Visualizations",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2019/08797887/1cJ15YywtBS",
"parentPublication": {
"id": "proceedings/vr/2019/1377/0",
"title": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/ase/2019/2508/0/250800b194",
"title": "XRaSE: Towards Virtually Tangible Software using Augmented Reality",
"doi": null,
"abstractUrl": "/proceedings-article/ase/2019/250800b194/1gysShIy9Es",
"parentPublication": {
"id": "proceedings/ase/2019/2508/0",
"title": "2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vl-hcc/2020/6901/0/09127197",
"title": "Exploring Immersive and Non-Immersive Techniques for Geographic Data Visualization",
"doi": null,
"abstractUrl": "/proceedings-article/vl-hcc/2020/09127197/1lvQ0gGzBRe",
"parentPublication": {
"id": "proceedings/vl-hcc/2020/6901/0",
"title": "2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/02/09222313",
"title": "ShuttleSpace: Exploring and Analyzing Movement Trajectory in Immersive Visualization",
"doi": null,
"abstractUrl": "/journal/tg/2021/02/09222313/1nTr29xEpkk",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1CJbEwHHqEg",
"title": "2022 IEEE on Conference Virtual Reality and 3D User Interfaces (VR)",
"acronym": "vr",
"groupId": "1000791",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1CJc1vWLV6w",
"doi": "10.1109/VR51125.2022.00027",
"title": "Exploring the Design Space for Immersive Embodiment in Dance",
"normalizedTitle": "Exploring the Design Space for Immersive Embodiment in Dance",
"abstract": "There are decades of work investigating how to support users in inhabiting avatars’ bodies in immersive experiences, however we are still learning about how Virtual Reality (VR) can support people in more deeply inhabiting their own bodies. Over the course of five action research workshops, we explored the design space for how VR can support feeling embodied and generating movement within a dance context. We explored design factors and participants’ experiences within: games intended to stimulate physical movement, single player and multiplayer 3D painting, 360 live video, and custom real-time audio and visual feedback based on motion capture. We found that participants spontaneously explored collaboration including synchronous, asynchronous, remote and collocated. Where there were mismatches between visual and kinesthetic perceptions, participants explored how to recalibrate, alternate between, and integrate perceptions. Participants were compelled to explore their control of real-time effects, which led to rich movement generation as we iterated through the effects’ parameters. We present a design space that encapsulates the insights of our action research, with axes for control, collaboration, auditory and visual feedback. We discuss implications for the support of immersive embodiment in dance.",
"abstracts": [
{
"abstractType": "Regular",
"content": "There are decades of work investigating how to support users in inhabiting avatars’ bodies in immersive experiences, however we are still learning about how Virtual Reality (VR) can support people in more deeply inhabiting their own bodies. Over the course of five action research workshops, we explored the design space for how VR can support feeling embodied and generating movement within a dance context. We explored design factors and participants’ experiences within: games intended to stimulate physical movement, single player and multiplayer 3D painting, 360 live video, and custom real-time audio and visual feedback based on motion capture. We found that participants spontaneously explored collaboration including synchronous, asynchronous, remote and collocated. Where there were mismatches between visual and kinesthetic perceptions, participants explored how to recalibrate, alternate between, and integrate perceptions. Participants were compelled to explore their control of real-time effects, which led to rich movement generation as we iterated through the effects’ parameters. We present a design space that encapsulates the insights of our action research, with axes for control, collaboration, auditory and visual feedback. We discuss implications for the support of immersive embodiment in dance.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "There are decades of work investigating how to support users in inhabiting avatars’ bodies in immersive experiences, however we are still learning about how Virtual Reality (VR) can support people in more deeply inhabiting their own bodies. Over the course of five action research workshops, we explored the design space for how VR can support feeling embodied and generating movement within a dance context. We explored design factors and participants’ experiences within: games intended to stimulate physical movement, single player and multiplayer 3D painting, 360 live video, and custom real-time audio and visual feedback based on motion capture. We found that participants spontaneously explored collaboration including synchronous, asynchronous, remote and collocated. Where there were mismatches between visual and kinesthetic perceptions, participants explored how to recalibrate, alternate between, and integrate perceptions. Participants were compelled to explore their control of real-time effects, which led to rich movement generation as we iterated through the effects’ parameters. We present a design space that encapsulates the insights of our action research, with axes for control, collaboration, auditory and visual feedback. We discuss implications for the support of immersive embodiment in dance.",
"fno": "961700a093",
"keywords": [
"Avatars",
"Computer Games",
"Human Computer Interaction",
"Humanities",
"Motion Capture",
"Visual Perception",
"VR",
"Dance",
"Physical Movement",
"Multiplayer 3 D Painting",
"360 Live Video",
"Visual Feedback",
"Visual Perceptions",
"Kinesthetic Perceptions",
"Movement Generation",
"Design Space",
"Auditory Feedback",
"Immersive Embodiment",
"Avatars",
"Immersive Experiences",
"Virtual Reality",
"Single Player 3 D Painting",
"Real Time Audio Feedback",
"Motion Capture",
"Visualization",
"Three Dimensional Displays",
"Conferences",
"Collaboration",
"Virtual Reality",
"Games",
"Aerospace Electronics",
"Virtual Reality",
"Embodiment",
"Creativity Support",
"Dance"
],
"authors": [
{
"affiliation": "University of Auckland",
"fullName": "Danielle Lottridge",
"givenName": "Danielle",
"surname": "Lottridge",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Auckland",
"fullName": "Rebecca Weber",
"givenName": "Rebecca",
"surname": "Weber",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Auckland",
"fullName": "Eva-Rae McLean",
"givenName": "Eva-Rae",
"surname": "McLean",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Auckland",
"fullName": "Hazel Williams",
"givenName": "Hazel",
"surname": "Williams",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Auckland",
"fullName": "Joanna Cook",
"givenName": "Joanna",
"surname": "Cook",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "University of Auckland",
"fullName": "Huidong Bai",
"givenName": "Huidong",
"surname": "Bai",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vr",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-03-01T00:00:00",
"pubType": "proceedings",
"pages": "93-102",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-9617-9",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [
{
"id": "1CJc1sehDu8",
"name": "pvr202296170-09756774s1-mm_961700a093.zip",
"size": "268 kB",
"location": "https://www.computer.org/csdl/api/v1/extra/pvr202296170-09756774s1-mm_961700a093.zip",
"__typename": "WebExtraType"
}
],
"adjacentArticles": {
"previous": {
"fno": "961700a083",
"articleId": "1CJcjWU39wQ",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "961700a103",
"articleId": "1CJbKPRegGk",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/icme/2008/2570/0/04607754",
"title": "WiiView: A view control interface for 3D tele-immersive environments",
"doi": null,
"abstractUrl": "/proceedings-article/icme/2008/04607754/12OmNxHryhE",
"parentPublication": {
"id": "proceedings/icme/2008/2570/0",
"title": "2008 IEEE International Conference on Multimedia and Expo (ICME)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vs-games/2018/7123/0/08493410",
"title": "An Embodied Learning Game Using Kinect and Labanotation for Analysis and Visualization of Dance Kinesiology",
"doi": null,
"abstractUrl": "/proceedings-article/vs-games/2018/08493410/14tNJmS4WAw",
"parentPublication": {
"id": "proceedings/vs-games/2018/7123/0",
"title": "2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2022/05/09714123",
"title": "The Impact of Embodiment and Avatar Sizing on Personal Space in Immersive Virtual Environments",
"doi": null,
"abstractUrl": "/journal/tg/2022/05/09714123/1B0Y0yXxNbG",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/5555/01/09745335",
"title": "Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure",
"doi": null,
"abstractUrl": "/journal/tg/5555/01/09745335/1CagHUR61pe",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2023/05/10058530",
"title": "A Lack of Restraint: Comparing Virtual Reality Interaction Techniques for Constrained Transport Seating",
"doi": null,
"abstractUrl": "/journal/tg/2023/05/10058530/1LdkjHapKW4",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/icvris/2019/5050/0/505000a324",
"title": "The Line Dance Movement and Folk Dance Culture Evolution Model Based on Ultra-Gradient Fuzzy Rules",
"doi": null,
"abstractUrl": "/proceedings-article/icvris/2019/505000a324/1fHk9Lqec5a",
"parentPublication": {
"id": "proceedings/icvris/2019/5050/0",
"title": "2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "trans/tg/2021/08/08936360",
"title": "Mixed Reality Tabletop Gameplay: Social Interaction With a Virtual Human Capable of Physical Influence",
"doi": null,
"abstractUrl": "/journal/tg/2021/08/08936360/1fRz4hvYwta",
"parentPublication": {
"id": "trans/tg",
"title": "IEEE Transactions on Visualization & Computer Graphics",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/dsc/2019/4528/0/09069366",
"title": "Grey Island: Immersive tangible interaction through augmented reality",
"doi": null,
"abstractUrl": "/proceedings-article/dsc/2019/09069366/1jdCYiSUwBG",
"parentPublication": {
"id": "proceedings/dsc/2019/4528/0",
"title": "2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/iv/2020/9134/0/913400a587",
"title": "Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality",
"doi": null,
"abstractUrl": "/proceedings-article/iv/2020/913400a587/1rSRcs8HVZK",
"parentPublication": {
"id": "proceedings/iv/2020/9134/0",
"title": "2020 24th International Conference Information Visualisation (IV)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/nicoint/2021/3954/0/395400a027",
"title": "Interactive Dance Support System Using Spatial Augmented Reality",
"doi": null,
"abstractUrl": "/proceedings-article/nicoint/2021/395400a027/1wnPv82qfC0",
"parentPublication": {
"id": "proceedings/nicoint/2021/3954/0",
"title": "2021 Nicograph International (NicoInt)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
{
"proceeding": {
"id": "1CJcAaH6aYg",
"title": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"acronym": "vrw",
"groupId": "1836626",
"volume": "0",
"displayVolume": "0",
"year": "2022",
"__typename": "ProceedingType"
},
"article": {
"id": "1CJcFsf3SU0",
"doi": "10.1109/VRW55335.2022.00319",
"title": "[DC] Immersive Analytics for Understanding Ecosystem Services Tradeoffs",
"normalizedTitle": "[DC] Immersive Analytics for Understanding Ecosystem Services Tradeoffs",
"abstract": "Existing immersive systems for analysing geospatial data relating to ecosystem services are not designed for all groups involved with land use decision making. Land management scientists have different requirements compared to non-experts as the tasks they perform are different. Land use decision making needs better tools for assisting the analysis and exploration of land use decisions, and their effect on ecosystem services. In this research, a user centred design process is applied for developing and evaluating an immersive VR visualization tool to assist with better decision making around land use. Interviews with experts found issues with how their current tool presents analysis results, and problems with communicating their results to stakeholders. A literature review found no pre-existing immersive VR systems specifically for analysing tradeoffs among ecosystem services.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Existing immersive systems for analysing geospatial data relating to ecosystem services are not designed for all groups involved with land use decision making. Land management scientists have different requirements compared to non-experts as the tasks they perform are different. Land use decision making needs better tools for assisting the analysis and exploration of land use decisions, and their effect on ecosystem services. In this research, a user centred design process is applied for developing and evaluating an immersive VR visualization tool to assist with better decision making around land use. Interviews with experts found issues with how their current tool presents analysis results, and problems with communicating their results to stakeholders. A literature review found no pre-existing immersive VR systems specifically for analysing tradeoffs among ecosystem services.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Existing immersive systems for analysing geospatial data relating to ecosystem services are not designed for all groups involved with land use decision making. Land management scientists have different requirements compared to non-experts as the tasks they perform are different. Land use decision making needs better tools for assisting the analysis and exploration of land use decisions, and their effect on ecosystem services. In this research, a user centred design process is applied for developing and evaluating an immersive VR visualization tool to assist with better decision making around land use. Interviews with experts found issues with how their current tool presents analysis results, and problems with communicating their results to stakeholders. A literature review found no pre-existing immersive VR systems specifically for analysing tradeoffs among ecosystem services.",
"fno": "840200a936",
"keywords": [
"Data Visualisation",
"Decision Making",
"User Centred Design",
"Virtual Reality",
"Current Tool",
"Pre Existing Immersive VR Systems",
"Analysing Tradeoffs",
"DC Immersive Analytics",
"Ecosystem Services Tradeoffs",
"Immersive Systems",
"Analysing Geospatial Data",
"Land Management Scientists",
"Nonexperts",
"Land Use Decisions",
"User Centred Design Process",
"Immersive VR Visualization Tool",
"Three Dimensional Displays",
"Conferences",
"Ecosystems",
"Decision Making",
"Virtual Reality",
"User Interfaces",
"Geospatial Analysis",
"Human Centered Computing Visualization Visualization Techniques",
"Human Centered Computing Visualization Visualization Design And Evaluation Methods Applied Computing Physical Sciences And Engineering Earth And Atmospheric Sciences"
],
"authors": [
{
"affiliation": "Victoria University of Wellington,New Zealand",
"fullName": "Benjamin T. Powley",
"givenName": "Benjamin T.",
"surname": "Powley",
"__typename": "ArticleAuthorType"
}
],
"idPrefix": "vrw",
"isOpenAccess": false,
"showRecommendedArticles": true,
"showBuyMe": true,
"hasPdf": true,
"pubDate": "2022-03-01T00:00:00",
"pubType": "proceedings",
"pages": "936-937",
"year": "2022",
"issn": null,
"isbn": "978-1-6654-8402-2",
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
"webExtras": [],
"adjacentArticles": {
"previous": {
"fno": "840200a934",
"articleId": "1CJflu1VBO8",
"__typename": "AdjacentArticleType"
},
"next": {
"fno": "840200a938",
"articleId": "1CJd1lHH4D6",
"__typename": "AdjacentArticleType"
},
"__typename": "AdjacentArticlesType"
},
"recommendedArticles": [
{
"id": "proceedings/isuvr/2011/4420/0/4420b013",
"title": "Conceptualizing u-Content Ecosystem in Ubiquitous VR Environments",
"doi": null,
"abstractUrl": "/proceedings-article/isuvr/2011/4420b013/12OmNBt3qqr",
"parentPublication": {
"id": "proceedings/isuvr/2011/4420/0",
"title": "International Symposium on Ubiquitous Virtual Reality",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2017/6647/0/07892364",
"title": "Virtual reality to save endangered animals: Many eyes on the wild",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2017/07892364/12OmNxj238X",
"parentPublication": {
"id": "proceedings/vr/2017/6647/0",
"title": "2017 IEEE Virtual Reality (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/aina/2014/3630/0/3629a089",
"title": "A Personalized Learning System with an AR Augmented Reality Browser for Ecosystem Fieldwork",
"doi": null,
"abstractUrl": "/proceedings-article/aina/2014/3629a089/12OmNyQ7FNX",
"parentPublication": {
"id": "proceedings/aina/2014/3630/0",
"title": "2014 IEEE 28th International Conference on Advanced Information Networking and Applications (AINA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/bdva/2015/7343/0/07314296",
"title": "Immersive Analytics",
"doi": null,
"abstractUrl": "/proceedings-article/bdva/2015/07314296/12OmNzVXNSO",
"parentPublication": {
"id": "proceedings/bdva/2015/7343/0",
"title": "2015 Big Data Visual Analytics (BDVA)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2018/02/mcg2018020057",
"title": "An Analysis of VR Technology Used in Immersive Simulations with a Serious Game Perspective",
"doi": null,
"abstractUrl": "/magazine/cg/2018/02/mcg2018020057/13rRUwh80Nv",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "mags/cg/2019/03/08698351",
"title": "Immersive Analytics",
"doi": null,
"abstractUrl": "/magazine/cg/2019/03/08698351/19utOsQX9Nm",
"parentPublication": {
"id": "mags/cg",
"title": "IEEE Computer Graphics and Applications",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/mcsoc/2022/6499/0/649900a112",
"title": "Distributed Decision Fusion for Large Scale IoT- Ecosystem",
"doi": null,
"abstractUrl": "/proceedings-article/mcsoc/2022/649900a112/1JZ3fxO8qn6",
"parentPublication": {
"id": "proceedings/mcsoc/2022/6499/0",
"title": "2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2020/6532/0/09090546",
"title": "[DC] The Immersive Space to Think: Immersive Analytics for Multimedia Data",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2020/09090546/1jIxrquhCNO",
"parentPublication": {
"id": "proceedings/vrw/2020/6532/0",
"title": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vrw/2021/4057/0/405700a741",
"title": "[DC] Immersive Journalism - The Future of the News",
"doi": null,
"abstractUrl": "/proceedings-article/vrw/2021/405700a741/1tnWxjLz4Kk",
"parentPublication": {
"id": "proceedings/vrw/2021/4057/0",
"title": "2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
},
{
"id": "proceedings/vr/2021/1838/0/255600z023",
"title": "Self-Avatars in Immersive Technology",
"doi": null,
"abstractUrl": "/proceedings-article/vr/2021/255600z023/1tuAsCE62Tm",
"parentPublication": {
"id": "proceedings/vr/2021/1838/0",
"title": "2021 IEEE Virtual Reality and 3D User Interfaces (VR)",
"__typename": "ParentPublication"
},
"__typename": "RecommendedArticleType"
}
],
"articleVideos": []
}
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.