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"abstract": "The task of topical classification of Web queries is to classify Web queries into a set of target categories. Machine learning based conventional approaches usually rely on external sources of information to obtain additional features for Web queries and training data for target categories. Unfortunately, these approaches are known to suffer from inability to adapt to different target categories which may be caused by the dynamic changes observed in both Web topic taxonomy and Web content. In this paper, we propose a feature-free flexible approach to topical classification of Web queries. Our approach analyzes queries and topical categories themselves and utilizes the number of Web pages containing both a query and a category to determine their similarity. The most attractive feature of our approach is that it only utilizes the Web page counts estimated by a search engine to provide the Web query classification with respectable accuracy. We conduct experimental study on the effectiveness of our approach using a set of rank measures and show that our approach performs competitively to some popular state-of-the-art solutions which, however, make frequent use of external sources and are inherently insufficient in flexibility.",
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"abstract": "As the volume and variety of information sources, especially on the World Wide Web (WWW), continues to grow, the requirements imposed on search applications are steadily increasing. The amount of available data is growing and so do user demands. Search application should provide the users with accurate, sensible responses to their requests. It is difficult to provide information that accurately matches user information needs. Search effectiveness can be seen as the accuracy of matching user information needs against the retrieved information. There are problems emerging: users often do not present search queries in the form that optimally represents their information need, the measure of a document's relevance is often highly subjective between different users and information sources might contain heterogeneous documents, in multiple formats and the representation of documents is not unified. This contribution presents a proposal to improve web search effectiveness via evolutionary optimization of Boolean and vector search queries based on individual user models.",
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"abstract": "In natural languages, variability of semantic expression refers to the situation where the same meaning can be inferred from different words or texts. Given that many natural language processing tasks nowadays (e.g. question answering, information retrieval, document summarization) often model this variability by requiring a specific targetmeaning to be inferred from different text variants, it is helpful to capture text similarity in a directional manner to serve such inference needs. In this paper, we show how Wikipedia can be used as a semantic resource to build a directional inferential similarity metric between words, and subsequently, texts. Through experiments, we show that our Wikipedia-based metric performs significantly better when applied to a standard evaluation dataset, with a reduction in error rate of 16.1% over the random metric baseline.",
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"abstract": "Identifying the semantic relatedness of two words is an important task for the information retrieval, natural language processing, and text mining. However, due to the diversity of meaning for a word, the semantic relatedness of two words is still hard to precisely evaluate under the limited corpora. Nowadays, Wikipedia is now a huge and wiki-based encyclopedia on the internet that has become a valuable resource for research work. Wikipedia articles, written by a live collaboration of user editors, contain a high volume of reference links, URL identification for concepts and a complete revision history. Moreover, each Wikipedia article represents an individual concept that simultaneously contains other concepts that are hyperlinks of other articles embedded in its content. Through this, we believe that the semantic relatedness between two words can be found through the semantic relatedness between two Wikipedia articles. Therefore, we propose an Editor-Contribution-based Rank (ECR) algorithm for ranking the concepts in the article¡¦s content through all revisions and take the ranked concepts as a vector representing the article. We classify four types of relationship in which the behavior of addition and deletion maps appropriate and inappropriate concepts. ECR ranks those concepts depending on the mutual signed-reinforcement relationship between the concepts and the editors. The results reveal that our method leads to prominent performance improvement and increases the correlation coefficient by a factor ranging from 4% to 23% over previous methods that calculate the relatedness between two articles.",
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"abstract": "Wikipedia is nowadays one of the most valuable information resources; nevertheless, its current structure, which has no formal organization, does not allow to always have a useful browsing among topics. Moreover, even though most Wikipedia pages include a \"See Also\" section for navigating through those articles' related Wikipedia pages, the only references included here are those which authors are aware of, leading to incompleteness and other irregularities. In this work, a method for finding related Wikipedia articles is proposed; this method relies on a framework that clusters documents into semantically-calculated topics and selects the closest documents which could enrich the \"See Also\" section.",
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"normalizedAbstract": "Transition from paper to electronic form has a profound impact on how data is understood, managed and processed. While issues related to data sustainability, usability, accessibility, interoperability and integrity have already been addressed in the past, confidentiality labeling is becoming important research topic. How to protect classified data is a subject of organizational rules and technical approaches, which must provide appropriate means to manage data in uncontrolled environment and disclose information only when security requirements are meet in targeted domain. For this purpose confidentiality electronic labels are being introduced as additional sets of (security related) meta information, which supports security marking, security classification lifecycle and secure processing of data being exchanged over different security domains. Presented confidentiality labeling syntax and processing rules propose a new format for expressing confidentiality labels using the extensible markup language (XML). Proposed syntax builds on past initiatives and broadens the horizons of use of confidentiality labeling with the introduction of mechanisms for trustworthy data binding, label integrity demonstration and label change management.",
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"abstract": "XML has become the new standard for storing and exchanging data in the internet. As demand for efficiency in handling XML document grows, labeling scheme has become an important topic in data storage. Recent works on labeling schemes emphasize the dynamic XML environments where frequent updates to XML documents are expected. In these researches, an insertion of a new node into the XML document triggers re-labeling of pre-existing nodes. In this paper, we introduce a new labeling scheme Circle Labeling Scheme. In this paper, XML documents are represented in a circular form, and we propose three concepts for noble labeling scheme. The notion of Radius is applied to support inclusion of new nodes at arbitrary positions in the tree. This eliminates the need for re-labeling existing nodes and prevents the label length from growing, and mitigates conflict with existing labels. Efficient storage of labels is supported by the use of concepts Rotation Number and Root Circle/Extension Circle. The proposed scheme is tested against three other labeling schemes to show its efficiency.",
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"abstract": "As the mainstream solution for semi-supervised learning (SSL), pseudo-labeling-based approaches have achieved re-markable success. However, an obvious drawback of existing methods is that the valuable semantic relationships among categories are often ignored, thus leading to suboptimal encoded embeddings. To address this, we present a novel Semantics-Enhanced Pseudo Labeling Network, called SEPL-Net, for image analysis in a semi-supervised manner. SEPL-Net explores the prior knowledge of visual similarity between different classes to improve the quality of pseudo label decision making. Particularly, we encode semantic labels combined with the one-hot label to jointly train our network by exploiting their disagreement. To alleviate the difficulty of labeling unlabeled images due to the introduction of semantic labels, we further design different classifiers with differentiated strong augmentation modes to enable cooperative pseudo labeling. Extensive experimental results show that our SEPL-Net outperforms existing SSL methods with the averaged 1.84% accuracy improvement on image classification task. Code is available at https://github.com/sweetvicky/SEPLNet.git.",
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"abstract": "Automatic music labeling on large-scale bases is a premise to provide systems of music recommendation, importante subject in digital world, demanding countless research in music information retrieval field. Although there are large-scale musical bases, such as Million Song Dataset (MSD), that have lowlevel label signal audio, descendant from audio signal, they are weakly labelled, that is, songs labels may be incomplete at a high level regarding emotion, vocals and instrument. This work aims to present the Music Label Miner (MLM), a hybrid method based on grouping, genetic algorithm and statistical correlation, which generates mappings and ossible inferences of high-level labels based on audio signal, through the relationship of a Large-scale base, MSD, with a lower-dimensional Ground Truth reference base. By applying the proposed method, it will be possible to label songs automatically, which contain only low-level labels and, by the models generated from the method, reach high-level labels. The method is composed by: (i) selection and preprocessing of MSD high and low level data, (ii) reference data set called CAL500exp, (iii) MSD data grouping, (iv) CAL500exp vectorization, (v) relationship of vectorized and grouping datasets, (vi) statistical correlation, (vii) mapping, (viii) visualization of selected data characteristics, (ix) generation of models and (x) inference of high and low-level labels.",
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"title": "MetNetGE: Visualizing biological networks in hierarchical views and 3D tiered layouts",
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"abstract": "Linking experimental data with large-scale biomedical networks is key for achieving new discoveries in system biology research. Visualization tools that facilitate these tasks often result in a dense Web of connections that resembles a tangled hairball and is difficult to interpret. MetNetGE is an interactive pathway navigation tool based on Google Earth that features novel visualization techniques for pathway information display. Instead of simply showing all the pathways in a network in a complex graph, MetNetGE visualizes the entire network of pathways based on the hierarchical pathway ontology using a novel radial space filling (RSF) method. Orbits show when pathways belong to multiple categories. Mapping cumulative experiment statistics on the RSF drawing aids biologists in easily identifying highly activated pathways in an experiment. After identifying key pathways, biologists can fly to the corresponding region and see the detailed pathway and experimental data in an aligned 3D tiered layout with simplified cross-layer connection patterns.",
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"affiliation": "Dept. of Electr.&Comput. Eng., Iowa State Univ., Ames, IA, USA",
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"proceeding": {
"id": "12OmNx4Q6EK",
"title": "2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)",
"acronym": "icmtma",
"groupId": "1002837",
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"year": "2015",
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"article": {
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"doi": "10.1109/ICMTMA.2015.45",
"title": "Analyzing the Experimental Data of the Total Flavonoids of Mao Dongqing in the Treatment of Cerebral Ischemic Tolerance in Mice",
"normalizedTitle": "Analyzing the Experimental Data of the Total Flavonoids of Mao Dongqing in the Treatment of Cerebral Ischemic Tolerance in Mice",
"abstract": "To study intervention effect of total flavonoids of Mao Dongqing on cerebral ischemic tolerance model. Method: First, mice brain ischemic preconditioning, except the sham operation group, ischemia reperfusion group, the remaining mice in each group with micro artery occlusion of bilateral common carotid artery, were blocking the blood flow 10min respectively, then restore perfusion, the continuous administration of 5d, in fifth days after administration of 1h, after 12h of fasting, mice were anesthetized again, the supine fixed, neck incision, blunt dissection of both carotid arteries, except the sham operation group, the remaining mice were used in the micro artery occlusion of bilateral common carotid arteries, blocking the blood 30min respectively, the model of cerebral ischemia. Result: Total flavonoids of Mao dongqing can significantly reduce TXB2, increased 6-keto-PGF1a and reduce TXB2 / 6-keto-PGF1a ratio, improve platelet function experiments in mice, Having different effect to improve the cerebral ischemic tolerance, can relieve the ischemic injury change. Conclusion: Total flavonoids of Mao Dongqing has good effect on cerebral ischemic tolerance in mice, can significantly improve the indicators experiment.",
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{
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"content": "To study intervention effect of total flavonoids of Mao Dongqing on cerebral ischemic tolerance model. Method: First, mice brain ischemic preconditioning, except the sham operation group, ischemia reperfusion group, the remaining mice in each group with micro artery occlusion of bilateral common carotid artery, were blocking the blood flow 10min respectively, then restore perfusion, the continuous administration of 5d, in fifth days after administration of 1h, after 12h of fasting, mice were anesthetized again, the supine fixed, neck incision, blunt dissection of both carotid arteries, except the sham operation group, the remaining mice were used in the micro artery occlusion of bilateral common carotid arteries, blocking the blood 30min respectively, the model of cerebral ischemia. Result: Total flavonoids of Mao dongqing can significantly reduce TXB2, increased 6-keto-PGF1a and reduce TXB2 / 6-keto-PGF1a ratio, improve platelet function experiments in mice, Having different effect to improve the cerebral ischemic tolerance, can relieve the ischemic injury change. Conclusion: Total flavonoids of Mao Dongqing has good effect on cerebral ischemic tolerance in mice, can significantly improve the indicators experiment.",
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"normalizedAbstract": "To study intervention effect of total flavonoids of Mao Dongqing on cerebral ischemic tolerance model. Method: First, mice brain ischemic preconditioning, except the sham operation group, ischemia reperfusion group, the remaining mice in each group with micro artery occlusion of bilateral common carotid artery, were blocking the blood flow 10min respectively, then restore perfusion, the continuous administration of 5d, in fifth days after administration of 1h, after 12h of fasting, mice were anesthetized again, the supine fixed, neck incision, blunt dissection of both carotid arteries, except the sham operation group, the remaining mice were used in the micro artery occlusion of bilateral common carotid arteries, blocking the blood 30min respectively, the model of cerebral ischemia. Result: Total flavonoids of Mao dongqing can significantly reduce TXB2, increased 6-keto-PGF1a and reduce TXB2 / 6-keto-PGF1a ratio, improve platelet function experiments in mice, Having different effect to improve the cerebral ischemic tolerance, can relieve the ischemic injury change. Conclusion: Total flavonoids of Mao Dongqing has good effect on cerebral ischemic tolerance in mice, can significantly improve the indicators experiment.",
"fno": "7143a161",
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"Mice",
"Brain Cells",
"Brain Modeling",
"Hippocampus",
"Carotid Arteries",
"Total Flavonoids Of Mao Dongqing Cerebral Ischemia Model"
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{
"affiliation": null,
"fullName": "Mingsan Miao",
"givenName": "Mingsan",
"surname": "Miao",
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{
"affiliation": null,
"fullName": "Bolin Cheng",
"givenName": "Bolin",
"surname": "Cheng",
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"fullName": "Tisheng Cui",
"givenName": "Tisheng",
"surname": "Cui",
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{
"affiliation": null,
"fullName": "Peng Xi",
"givenName": "Peng",
"surname": "Xi",
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"pubDate": "2015-06-01T00:00:00",
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"year": "2015",
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"isbn": "978-1-4673-7143-8",
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"title": "2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)",
"acronym": "sibgrapi",
"groupId": "1000131",
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"year": "2016",
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"doi": "10.1109/SIBGRAPI.2016.065",
"title": "Interactive Visualization of the Cranio-Cerebral Correspondences for 10/20, 10/10 and 10/5 Systems",
"normalizedTitle": "Interactive Visualization of the Cranio-Cerebral Correspondences for 10/20, 10/10 and 10/5 Systems",
"abstract": "Electroencephalogram (EEG) is a method that records electrical activities of the brain. Reliable interpretation of its measurements rely on accurate correspondence of the scalp electrodes and the underlying cortical surface. To standardize comparative studies international 10/20, 10/10 and 10/5 systems for the placement of electrodes have been proposed to specify the locations of scalp EEG sensors under the assumption that there is a consistent correlation between these sites and the structure of the cerebral cortex. However, several studies have demonstrated that the cranio-cerebral correlations vary greatly. For enhancing the electrophysiological analyses, an algorithm is presented in this paper, allowing the multimodal visualization of EEG and magnetic resonance scan in the patient's native space. The key to our solution is twofold: an interactive image-based electrode placement algorithm and an extended GPU-based multimodal ray-casting algorithm. Experimental results show that with the present tool one can easily assess the cranio-cerebral correspondences even when the brain tissue is displaced by structural lesions.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Electroencephalogram (EEG) is a method that records electrical activities of the brain. Reliable interpretation of its measurements rely on accurate correspondence of the scalp electrodes and the underlying cortical surface. To standardize comparative studies international 10/20, 10/10 and 10/5 systems for the placement of electrodes have been proposed to specify the locations of scalp EEG sensors under the assumption that there is a consistent correlation between these sites and the structure of the cerebral cortex. However, several studies have demonstrated that the cranio-cerebral correlations vary greatly. For enhancing the electrophysiological analyses, an algorithm is presented in this paper, allowing the multimodal visualization of EEG and magnetic resonance scan in the patient's native space. The key to our solution is twofold: an interactive image-based electrode placement algorithm and an extended GPU-based multimodal ray-casting algorithm. Experimental results show that with the present tool one can easily assess the cranio-cerebral correspondences even when the brain tissue is displaced by structural lesions.",
"__typename": "ArticleAbstractType"
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"normalizedAbstract": "Electroencephalogram (EEG) is a method that records electrical activities of the brain. Reliable interpretation of its measurements rely on accurate correspondence of the scalp electrodes and the underlying cortical surface. To standardize comparative studies international 10/20, 10/10 and 10/5 systems for the placement of electrodes have been proposed to specify the locations of scalp EEG sensors under the assumption that there is a consistent correlation between these sites and the structure of the cerebral cortex. However, several studies have demonstrated that the cranio-cerebral correlations vary greatly. For enhancing the electrophysiological analyses, an algorithm is presented in this paper, allowing the multimodal visualization of EEG and magnetic resonance scan in the patient's native space. The key to our solution is twofold: an interactive image-based electrode placement algorithm and an extended GPU-based multimodal ray-casting algorithm. Experimental results show that with the present tool one can easily assess the cranio-cerebral correspondences even when the brain tissue is displaced by structural lesions.",
"fno": "3568a424",
"keywords": [
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"Biomedical MRI",
"Biosensors",
"Electroencephalography",
"Graphics Processing Units",
"Medical Image Processing",
"Sensor Placement",
"Interactive Visualization",
"Cranio Cerebral Correspondences",
"10 5 Systems",
"10 10 Systems",
"10 20 Systems",
"Electroencephalogram",
"Brain Electrical Activities",
"Scalp Electrodes",
"Electrode Placement",
"Scalp EEG Sensor Locations",
"Cranio Cerebral Correlations",
"Electrophysiological Analysis",
"Magnetic Resonance Scan",
"Patient Native Space",
"Interactive Image Based Electrode Placement",
"Extended GPU Based Multimodal Raycasting",
"Cranio Cerebral Correspondences",
"Brain Tissue",
"Structural Lesions",
"Electrodes",
"Scalp",
"Electroencephalography",
"Rendering Computer Graphics",
"Magnetic Resonance Imaging",
"Correlation",
"Surface Reconstruction",
"International 10 5",
"10 10",
"10 20 Systems EEG And MRI Co Registration GPU Based Multimodal Rendering Image Processing"
],
"authors": [
{
"affiliation": "Sch. of Elec. & Comput. Eng., Univ. of Campinas, Campinas, Brazil",
"fullName": "José Angel Iván Rubianes Silva",
"givenName": "José Angel Iván Rubianes",
"surname": "Silva",
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{
"affiliation": "Sch. of Med. Sci., Univ. of Campinas, Campinas, Brazil",
"fullName": "Fabio Enrique Suarez Burgos",
"givenName": "Fabio Enrique",
"surname": "Suarez Burgos",
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{
"affiliation": "Sch. of Elec. & Comput. Eng., Univ. of Campinas, Campinas, Brazil",
"fullName": "Shin-Ting Wu",
"givenName": "Shin-Ting",
"surname": "Wu",
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"pubDate": "2016-10-01T00:00:00",
"pubType": "proceedings",
"pages": "424-431",
"year": "2016",
"issn": "2377-5416",
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"abstract": "For segmenting the target lesions accurately in CT images of cerebral hematoma, this paper proposes a spatial and multi-scale neural network segmentation model (MSHA-Unet). The model fuses the semantic information of the top and bottom layers of images in the same level by multi-kernel convolution, and fuses the attention mechanism in multi-scale feature images by jumping connection, so as to accurately locate and segment cerebral hematoma in medical CT images. To verify the effectiveness of the model, the experiment was carried out on 3716 CT images of 81 cases of cerebral hemorrhage, and the model was compared with six neural network models. The experimental results were measured by various evaluation standards, and showed that the model was superior to other network models.",
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"content": "For segmenting the target lesions accurately in CT images of cerebral hematoma, this paper proposes a spatial and multi-scale neural network segmentation model (MSHA-Unet). The model fuses the semantic information of the top and bottom layers of images in the same level by multi-kernel convolution, and fuses the attention mechanism in multi-scale feature images by jumping connection, so as to accurately locate and segment cerebral hematoma in medical CT images. To verify the effectiveness of the model, the experiment was carried out on 3716 CT images of 81 cases of cerebral hemorrhage, and the model was compared with six neural network models. The experimental results were measured by various evaluation standards, and showed that the model was superior to other network models.",
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"abstract": "Mobile vision systems powered by the recent advancement in Deep Neural Networks (DNNs) are enabling a wide range of on-device video analytics applications. Considering mobile systems are constrained with limited resources, reducing resource demands of DNNs is crucial to realizing the full potential of these applications. In this paper, we present FlexDNN, an input-adaptive DNN-based framework for efficient on-device video analytics. To achieve this, FlexDNN takes the intrinsic dynamics of mobile videos into consideration, and dynamically adapts its model complexity to the difficulty levels of input video frames to achieve computation efficiency. FlexDNN addresses the key drawbacks of existing systems and pushes the state-of-the-art forward. We use FlexDNN to build three representative on-device video analytics applications, and evaluate its performance on both mobile CPU and GPU platforms. Our results show that FlexDNN significantly outperforms status quo approaches in accuracy, average CPU/GPU processing time per frame, frame drop rate, and energy consumption.",
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"content": "Mobile vision systems powered by the recent advancement in Deep Neural Networks (DNNs) are enabling a wide range of on-device video analytics applications. Considering mobile systems are constrained with limited resources, reducing resource demands of DNNs is crucial to realizing the full potential of these applications. In this paper, we present FlexDNN, an input-adaptive DNN-based framework for efficient on-device video analytics. To achieve this, FlexDNN takes the intrinsic dynamics of mobile videos into consideration, and dynamically adapts its model complexity to the difficulty levels of input video frames to achieve computation efficiency. FlexDNN addresses the key drawbacks of existing systems and pushes the state-of-the-art forward. We use FlexDNN to build three representative on-device video analytics applications, and evaluate its performance on both mobile CPU and GPU platforms. Our results show that FlexDNN significantly outperforms status quo approaches in accuracy, average CPU/GPU processing time per frame, frame drop rate, and energy consumption.",
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"fullName": "Biyi Fang",
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"affiliation": "Michigan State University",
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"affiliation": "Michigan State University",
"fullName": "Mi Zhang",
"givenName": "Mi",
"surname": "Zhang",
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"abstract": "Social networks have demonstrated in the last few years to be a powerful and flexible concept useful to represent and analyze data emerging form social interactions and social activities. The study of these networks can thus provide a deeper understanding of many emergent global phenomena. The amount of data available in the form of social networks data is growing by the day, and this poses many computational challenging problems for their analysis. In fact many analysis tools suitable to analyze small to medium sized networks are inefficient for large social networks. The computation of the betweenness centrality index is a well established method for network data analysis and it is also important as subroutine in more advanced algorithms, such as the Girvan-Newman method for graph partitioning. In this paper we present a new approach for the computation of the betweenness centrality, which speeds up considerably Brandes' algorithm (the current state of the art) in the context of social networks. Our approach exploits the natural sparsity of the data to algebraically (and efficiently) determine the betweenness of those nodes forming trees (tree-nodes) in the social network. Moreover, for the residual network, which is often of much smaller size, we modify directly the Brandes' algorithm so that we can remove the nodes already processed and perform the computation of the shortest paths only for the residual nodes. Tests conducted on a sample of publicly available large networks from the Stanford repository show that improvements of a factor ranging between 2 and 5 are possible on several such graphs, when the sparsity, measured by the ratio of tree-nodes to the total number of nodes, is in a medium range (30% to 50%). For some large networks from the Stanford repository and for a sample of social networks provided by Sistemi Territoriali with high sparsity (80% and above) tests show that our algorithm consistently runs between one and two orders of magnitude faster than the current state of the art exact algorithm.",
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"content": "Social networks have demonstrated in the last few years to be a powerful and flexible concept useful to represent and analyze data emerging form social interactions and social activities. The study of these networks can thus provide a deeper understanding of many emergent global phenomena. The amount of data available in the form of social networks data is growing by the day, and this poses many computational challenging problems for their analysis. In fact many analysis tools suitable to analyze small to medium sized networks are inefficient for large social networks. The computation of the betweenness centrality index is a well established method for network data analysis and it is also important as subroutine in more advanced algorithms, such as the Girvan-Newman method for graph partitioning. In this paper we present a new approach for the computation of the betweenness centrality, which speeds up considerably Brandes' algorithm (the current state of the art) in the context of social networks. Our approach exploits the natural sparsity of the data to algebraically (and efficiently) determine the betweenness of those nodes forming trees (tree-nodes) in the social network. Moreover, for the residual network, which is often of much smaller size, we modify directly the Brandes' algorithm so that we can remove the nodes already processed and perform the computation of the shortest paths only for the residual nodes. Tests conducted on a sample of publicly available large networks from the Stanford repository show that improvements of a factor ranging between 2 and 5 are possible on several such graphs, when the sparsity, measured by the ratio of tree-nodes to the total number of nodes, is in a medium range (30% to 50%). For some large networks from the Stanford repository and for a sample of social networks provided by Sistemi Territoriali with high sparsity (80% and above) tests show that our algorithm consistently runs between one and two orders of magnitude faster than the current state of the art exact algorithm.",
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"abstract": "Today's social networks are getting larger, and the need to analyze datasets with millions of nodes and billions of edges is not uncommon any more. As a network of social relationships evolves by the addition of new nodes and edges, fast algorithms are desirable for the recomputation of key network measures such as actor centrality. The distributed computing paradigm offers a scalable approach to addressing the recomputation challenge. This paper develops a Map-Reduce implementation of an incremental All-Pairs Shortest Path (APSP) algorithm. The incremental nature of the approach allows for performing minimal work in updating centrality measures, while the Map-Reduce implementation makes it scalable to large data. The key idea of the incremental APSP algorithm [1] is based on the efficient use of past information about the shortest paths between any node and the neighbors of the newly added node. A presented parallelized version of the algorithm relies on a three-step iterative execution of the \"map\" and \"reduce\" jobs. Experiences with its implementation are reported in application to a real-world dataset containing 7115 nodes. The experimental runs were performed using the Amazon's EMR service.",
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"content": "Classical N-S equation is of first order accuracy in both time and space.First order scheme only includes first order terms,without the terms of second or higher order. These terms are relative to time and space intervals.As basic elements of fluid research,time and space intervals should be some finite quantities and not be infinitely near to zero as defined in mathematics.If the terms of second or higher order can be ignored depends on the value of related derivative multiplied.Compared with first order terms,the terms of second or higher order can be ignored under the condition of laminar flow.However,under the condition of turbulent flow, these can’t be ignored.When turbulent flow develops fully, first order terms,compared with second order terms,can be ignored.It is why classical N-S equations aren’t closed when they are used to analyze turbulent flow.On the basic,the second order accuracy N-S equations for incompressible fluid were derived.",
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"abstract": "A deep learning algorithm is trained to predict wall-shear stress based on flow in the outer region of transitional and turbulent boundary layer flow. Flow variables sampled from the boundary layer region of eight high quality wall-resolved Large Eddy Simulations of transonic compressor cascades in the presence of shock-boundary layer interaction effects are used to train the model. About 1.1 TB of data stored in compressed text format generated from the LES calculations is used to perform the model training. The model is shown to be generic and able to predict complex boundary layer physics including laminar to turbulent transition caused by the shock-boundary layer interaction.",
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"title": "2020 24th International Conference on Circuits, Systems, Communications and Computers (CSCC)",
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"title": "Numerical simulation of blood pulsatile flow in stenotic coronary arteries: The effect of turbulence modeling and non-Newtonian assumptions",
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"abstract": "Atherosclerosis is a common cardiovascular disease characterized by the accumulation of plaques on the artery walls, resulting in the lumen stenosis. Over the past few decades, this pathological condition has been deeply studied and computational fluid dynamics has played an important role in investigating the blood flow behavior. Commonly, the blood flow is assumed to be laminar and a Newtonian fluid. However, under a stenotic condition, the blood behaves as a non-Newtonian fluid and the pulsatile blood flow through coronary arteries could result in a transition from laminar to turbulent flow condition. The aim of the present study is to analyze and compare numerically by means of CFD the blood flow behavior, applying the k-ω SST model and a laminar assumption. The effects of Newtonian and non-Newtonian (Carreau) models were also studied. According to the results, the turbulent model is shown to give a better overall representation of pulsatile flow in stenotic arteries. In addition, the effect of non-Newtonian modeling was found to be more significant in wall shear stress measurements than in velocity profiles.",
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"content": "Atherosclerosis is a common cardiovascular disease characterized by the accumulation of plaques on the artery walls, resulting in the lumen stenosis. Over the past few decades, this pathological condition has been deeply studied and computational fluid dynamics has played an important role in investigating the blood flow behavior. Commonly, the blood flow is assumed to be laminar and a Newtonian fluid. However, under a stenotic condition, the blood behaves as a non-Newtonian fluid and the pulsatile blood flow through coronary arteries could result in a transition from laminar to turbulent flow condition. The aim of the present study is to analyze and compare numerically by means of CFD the blood flow behavior, applying the k-ω SST model and a laminar assumption. The effects of Newtonian and non-Newtonian (Carreau) models were also studied. According to the results, the turbulent model is shown to give a better overall representation of pulsatile flow in stenotic arteries. In addition, the effect of non-Newtonian modeling was found to be more significant in wall shear stress measurements than in velocity profiles.",
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"Computational Fluid Dynamics",
"Diseases",
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"affiliation": "University of Minho,Department of Production and Systems,Guimarães,Portugal",
"fullName": "Violeta Carvalho",
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"affiliation": "ALGORITMI Research Centre, University of Minho,Guimarães,Portugal",
"fullName": "Nelson Rodrigues",
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"affiliation": "MEtRICs Research Centre University of Minho,Guimarães,Portugal",
"fullName": "Rui A. Lima",
"givenName": "Rui A.",
"surname": "Lima",
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{
"affiliation": "ALGORITMI Research Centre, University of Minho,Guimarães,Portugal",
"fullName": "Senhorinha Teixeira",
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"abstract": "The general available tools for analyzing interactions in online discussion forums appear to be insufficient to characterize groups of medium/large dimensions, as they are limited to provide general information of participation, access statistics and message posting. Our research contributes for analyzing and characterizing asynchronous online interactions applying the Social Network Analysis methodology, by providing e-learning platforms with an interactive graph - the iGraph - that illustrates, and analyses, studentspsila interactions. In a graphical interface embedded in an open source learning management system we combine real-time graphs and numerical indicator to provide the educator with a more thorough understanding of relations between course participants. Preliminary results indicate that the iGraph enables an insightful characterization of the interactions between actors and their participations in discussion forums.",
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"abstract": "Double moving averages are commonly used to identify trends within capital markets. In this paper, a novel analysis technique is presented which is based upon plotting the returns associated with thousands of different double moving average trading rules for a time series. The resulting plots are useful for gaining an understanding of the trends contained within the time series. The analysis technique, which is referred to as trend visualization, is also useful for selecting the appropriate parameters for double moving average trading systems. In this paper, the technique is used to investigate trends within the foreign currency spot market.",
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"abstract": "Virtual endoscopy system are researched in this paper. We use boundary model and local feature structure to realize tissue segmentation. A new efficient algorithm is presented to solve path planning based on distance transform. As for real-time processing, a frame in virtual endoscopy is divided into near viewpoint part and far viewpoint part based on volume data characteristics in our method. In the aspect of scene rendering, a ray casting algorithm based on the boundary voxel is proposed. We can voyage in virtual endoscopy system in real time with high quality images to use these techniques.",
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"affiliation": "Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China",
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"affiliation": "Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China",
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"proceeding": {
"id": "12OmNwBjP17",
"title": "2016 8th International Conference on Information Technology in Medicine and Education (ITME)",
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"doi": "10.1109/ITME.2016.0059",
"title": "Maxillary Sinus Cyst Drug Combination in the Treatment of Maxillary Bone Cyst",
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"abstract": "Objective: To observe the curative effect of maxillary bone cyst by maxillary sinus cyst drug combination, it provide innovative approach for non-surgical treatment of maxillary bone cyst. Methods: 12 patients with maxillary sinus cyst were selected, all cases were confirmed by the jaw of surface fault CT or MRI examination, disinfection of double flank cheek skin and oral vestibular mucosa, after local anesthesia or surface anesthesia all patients with nasal endoscopic examination of the nasal passages, were punctured into maxillary sinus cyst from inferior nasal meatus, the needle core was removed, the cyst fluid was taken out by cannula, then through cannula place the right amount of maxillary sinus cyst drug composition were injected. The bases were iodine and dexamethasone solution with 2:1 injection (i.e., take out 2 ml cyst fluid, inject of 1 ml drugs, and so on). As routine is not easy to puncture biopsy in place of the cyst, image guided puncture was choosen. Results: 12 patients with maxillary sinus cyst came back to the hospital for a check of sinus CT after treatment of 1 to 3 months, the results are excellent, and 1 to 2 years follow-up were carried on, the follow-up of 11 cases, 1 case was lost of follow-up. During follow-up of patients, before treatment with clinical symptoms caused by maxillary sinus cyst, symptoms disappeared after treatment, the sinus CT showed cyst disappear significantly. Conclusion: The curative effect of maxillary bone cyst by maxillary sinus cyst drug combination is definite, it is landmark in the non-surgical treatment for maxillary bone cyst.",
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"content": "Objective: To observe the curative effect of maxillary bone cyst by maxillary sinus cyst drug combination, it provide innovative approach for non-surgical treatment of maxillary bone cyst. Methods: 12 patients with maxillary sinus cyst were selected, all cases were confirmed by the jaw of surface fault CT or MRI examination, disinfection of double flank cheek skin and oral vestibular mucosa, after local anesthesia or surface anesthesia all patients with nasal endoscopic examination of the nasal passages, were punctured into maxillary sinus cyst from inferior nasal meatus, the needle core was removed, the cyst fluid was taken out by cannula, then through cannula place the right amount of maxillary sinus cyst drug composition were injected. The bases were iodine and dexamethasone solution with 2:1 injection (i.e., take out 2 ml cyst fluid, inject of 1 ml drugs, and so on). As routine is not easy to puncture biopsy in place of the cyst, image guided puncture was choosen. Results: 12 patients with maxillary sinus cyst came back to the hospital for a check of sinus CT after treatment of 1 to 3 months, the results are excellent, and 1 to 2 years follow-up were carried on, the follow-up of 11 cases, 1 case was lost of follow-up. During follow-up of patients, before treatment with clinical symptoms caused by maxillary sinus cyst, symptoms disappeared after treatment, the sinus CT showed cyst disappear significantly. Conclusion: The curative effect of maxillary bone cyst by maxillary sinus cyst drug combination is definite, it is landmark in the non-surgical treatment for maxillary bone cyst.",
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"normalizedAbstract": "Objective: To observe the curative effect of maxillary bone cyst by maxillary sinus cyst drug combination, it provide innovative approach for non-surgical treatment of maxillary bone cyst. Methods: 12 patients with maxillary sinus cyst were selected, all cases were confirmed by the jaw of surface fault CT or MRI examination, disinfection of double flank cheek skin and oral vestibular mucosa, after local anesthesia or surface anesthesia all patients with nasal endoscopic examination of the nasal passages, were punctured into maxillary sinus cyst from inferior nasal meatus, the needle core was removed, the cyst fluid was taken out by cannula, then through cannula place the right amount of maxillary sinus cyst drug composition were injected. The bases were iodine and dexamethasone solution with 2:1 injection (i.e., take out 2 ml cyst fluid, inject of 1 ml drugs, and so on). As routine is not easy to puncture biopsy in place of the cyst, image guided puncture was choosen. Results: 12 patients with maxillary sinus cyst came back to the hospital for a check of sinus CT after treatment of 1 to 3 months, the results are excellent, and 1 to 2 years follow-up were carried on, the follow-up of 11 cases, 1 case was lost of follow-up. During follow-up of patients, before treatment with clinical symptoms caused by maxillary sinus cyst, symptoms disappeared after treatment, the sinus CT showed cyst disappear significantly. Conclusion: The curative effect of maxillary bone cyst by maxillary sinus cyst drug combination is definite, it is landmark in the non-surgical treatment for maxillary bone cyst.",
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"fullName": "Li Ruiyu",
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"surname": "Ruiyu",
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"affiliation": null,
"fullName": "Li Yve",
"givenName": "Li",
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"affiliation": null,
"fullName": "Ma Xueyu",
"givenName": "Ma",
"surname": "Xueyu",
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"fullName": "Li Meng",
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"fullName": "Bian Xinhua",
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"doi": "10.1109/RVSP.2015.22",
"title": "Stereoscopic Augmented Reality for Single Camera Endoscope Using Optical Tracker: A Study on Phantom",
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"abstract": "Introduction: Endoscopic surgery causes reduced injury to tissues which helps in rapid recovery and less painful post-operative period of patients. However, its narrow field of view and loss of depth perception in endoscope image make surgeon's task difficult. Moreover, in endoscopic surgery surgeons can only see the surface of the surgical anatomy. In this study these limitations have been addressed with the development of an augmented reality system with 3D visualization. Method: The system is comprising of infrared based optical tracker, 2D endoscope system, computer and a 3D monitor. The system was calibrated to bring all the components to a single reference frame of the optical tracker. A phantom and its 3D CT model were used, respectively, to form the real and virtual part of the augmented reality. The endoscope camera position was tracked in 3D using a tracker tool mounted on it. The camera in the virtual environment was updated with the new positions of the endoscope camera. The endoscope video frame and the virtual model rendered image were superimposed to form augmented reality view. The depth map of the virtual scene was further used to make an stereo pair of the augmented reality. Results: The AR system was examined with endoscope video of phantom. It could produce well aligned real and virtual component. The contour different of the two components was 5 to 10 mm. Conclusion: An AR system for endoscopic surgery was successfully implemented on a phantom. It needs to include motion and deformation model to be applied on real patients.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Introduction: Endoscopic surgery causes reduced injury to tissues which helps in rapid recovery and less painful post-operative period of patients. However, its narrow field of view and loss of depth perception in endoscope image make surgeon's task difficult. Moreover, in endoscopic surgery surgeons can only see the surface of the surgical anatomy. In this study these limitations have been addressed with the development of an augmented reality system with 3D visualization. Method: The system is comprising of infrared based optical tracker, 2D endoscope system, computer and a 3D monitor. The system was calibrated to bring all the components to a single reference frame of the optical tracker. A phantom and its 3D CT model were used, respectively, to form the real and virtual part of the augmented reality. The endoscope camera position was tracked in 3D using a tracker tool mounted on it. The camera in the virtual environment was updated with the new positions of the endoscope camera. The endoscope video frame and the virtual model rendered image were superimposed to form augmented reality view. The depth map of the virtual scene was further used to make an stereo pair of the augmented reality. Results: The AR system was examined with endoscope video of phantom. It could produce well aligned real and virtual component. The contour different of the two components was 5 to 10 mm. Conclusion: An AR system for endoscopic surgery was successfully implemented on a phantom. It needs to include motion and deformation model to be applied on real patients.",
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"normalizedAbstract": "Introduction: Endoscopic surgery causes reduced injury to tissues which helps in rapid recovery and less painful post-operative period of patients. However, its narrow field of view and loss of depth perception in endoscope image make surgeon's task difficult. Moreover, in endoscopic surgery surgeons can only see the surface of the surgical anatomy. In this study these limitations have been addressed with the development of an augmented reality system with 3D visualization. Method: The system is comprising of infrared based optical tracker, 2D endoscope system, computer and a 3D monitor. The system was calibrated to bring all the components to a single reference frame of the optical tracker. A phantom and its 3D CT model were used, respectively, to form the real and virtual part of the augmented reality. The endoscope camera position was tracked in 3D using a tracker tool mounted on it. The camera in the virtual environment was updated with the new positions of the endoscope camera. The endoscope video frame and the virtual model rendered image were superimposed to form augmented reality view. The depth map of the virtual scene was further used to make an stereo pair of the augmented reality. Results: The AR system was examined with endoscope video of phantom. It could produce well aligned real and virtual component. The contour different of the two components was 5 to 10 mm. Conclusion: An AR system for endoscopic surgery was successfully implemented on a phantom. It needs to include motion and deformation model to be applied on real patients.",
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"fullName": "Atul Kumar",
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"fullName": "Yen-Yu Wang",
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"fullName": "Kai-Che Liu",
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"surname": "Liu",
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"fullName": "Shih-Wei Huang",
"givenName": "Shih-Wei",
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"affiliation": null,
"fullName": "Ching-Chun Huang",
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"abstract": "Recently, external electromagnetic actuation(EMA) system was introduced to control the locomotion of the capsule endoscopy(CE) using magnetic force. EMA system provides the manual user interface to control the system, but inspectors suffered from fatigues due to the long examination time. We proposed an autonomous driving algorithm for the capsule endoscope. The algorithm searched the target point based on the image processing where the capsule should orient, and the steering was automatically manipulated until the capsule oriented the target point. Then, the propulsion was made until the capsule deviated from the target point. In order to verify the feasibility of the algorithm, simulated endoscopic images were acquired from the commercially available endoscopic capsule by using intestine phantom and a linear and rotation motion stage. The driving simulator was tested on the arc-shaped paths having the various curvatures under the various propulsion forces. In the most conditions, the proposed algorithm succeeded in driving autonomously in the given paths. In some conditions, having a large curvature and a large propulsion, the target point was missed, but scanning algorithm for the missed target point may overcome this problem. In conclusion, the proposed algorithm could be utilized in the active capsule endoscope system and provide the autonomous driving mode in the capsule endoscopy without additional sensors or devices.",
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"abstract": "Recently, displaying natural phenomena such as smoke has become a topic of interest in computer graphics. The ability to simulate the complex shapes and motion of the smoke particles is not only important but is also a difficult problem to solve. In this paper, we propose a method of displaying swirling smoke, including the consideration of its passage round obstacles. By using the idea of metaballs, we can easily represent the 3-dimensional density distribution of smoke. We solve the physical equation of the flow, and represent the vortices by using the vorticity vector. Therefore, we can make a model of the smoke flow even if there are obstacles in its path.",
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"affiliation": "University of Tokyo",
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"abstract": "Using the conservation law, the theories of high temperature gas dynamics, fluid mechanics, the physical and mathematical turbulence flow field model is set up to simulate the tunnel fire and its smoke flow. An experimental fire in a tunnel is studied in light of the turbulent flow model. The results indicate that the turbulent flow field model is better than before and has prettily good consistency with the experimental data. Through the numerical simulation analysis, it is concluded that the fully developed smoke flow downstream can clearly present the distribution of layered temperature, concentration of CO2 downwind and smoke flow velocity.",
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