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"title": "2017 IEEE 67th Electronic Components and Technology Conference (ECTC)",
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"doi": "10.1109/ECTC.2017.23",
"title": "Stress Analysis of Flexible Packaging for the Integration of Electronic Components within Woven Textiles",
"normalizedTitle": "Stress Analysis of Flexible Packaging for the Integration of Electronic Components within Woven Textiles",
"abstract": "This paper presents the use of Finite Element Analysis (FEA) to model a new packaging technique capable of minimizing the impact of bending or shear stresses on components integrated within the yarn of an electronic textile. FEA has been used to model four conditions: shear load, tensile load, three point bending load and a change in temperature. Three types of adhesive (Dymax 3031, Delomonopox Mk055 and Delomonopox NU355) combined with three substrate materials, PEEK, Kapton and Mylar have been analyzed. The Kapton substrate with the Dymax 3031 adhesive are identified as the preferred material combination for the packaging assembly. The simulation results indicate that the lower Young's modulus of the adhesive and substrate materials produces smaller stresses in the shear, tensile and bending models. The lower coefficient of thermal expansion (CTE) of these materials also produces lower stresses when thermally cycled.",
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{
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"content": "This paper presents the use of Finite Element Analysis (FEA) to model a new packaging technique capable of minimizing the impact of bending or shear stresses on components integrated within the yarn of an electronic textile. FEA has been used to model four conditions: shear load, tensile load, three point bending load and a change in temperature. Three types of adhesive (Dymax 3031, Delomonopox Mk055 and Delomonopox NU355) combined with three substrate materials, PEEK, Kapton and Mylar have been analyzed. The Kapton substrate with the Dymax 3031 adhesive are identified as the preferred material combination for the packaging assembly. The simulation results indicate that the lower Young's modulus of the adhesive and substrate materials produces smaller stresses in the shear, tensile and bending models. The lower coefficient of thermal expansion (CTE) of these materials also produces lower stresses when thermally cycled.",
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"keywords": [
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"Textiles",
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"Delomonopox NU 355",
"Delomonopox Mk 055",
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"Tensile Load",
"Shear Load",
"Electronic Textile",
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"Stress Analysis",
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"Thermal Expansion",
"Textiles",
"Simulation",
"Electronic Textile",
"Tensile Test",
"FEA Stress Simulation",
"Shear Test",
"Three Points Bending Test",
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"fullName": "Menglong Li",
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{
"proceeding": {
"id": "12OmNrIaeeM",
"title": "Proceedings 20th IEEE International Parallel & Distributed Processing Symposium",
"acronym": "ipdps",
"groupId": "1000530",
"volume": "0",
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"year": "2006",
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"article": {
"id": "12OmNzDehb3",
"doi": "10.1109/IPDPS.2006.1639318",
"title": "A dependable infrastructure of the electric network for e-textiles",
"normalizedTitle": "A dependable infrastructure of the electric network for e-textiles",
"abstract": "Electronic textiles, known as computational fabrics, offer an emerging method for constructing wearable and large area applications. Because e-textiles are battery-driven and fault-prone systems, there is a need for developing a dependable infrastructure of the electric networks for e-textiles. In this paper, a new infrastructure of the power networks for e-textiles, flexible power network (FPN), is presented. Instead of drawing power from a fixed battery as in the conventional electric networks, the power consuming nodes in a FPN can obtain power energy from one of the choices of batteries available with the help of the battery selectors. We also introduce the over current protectors into the battery nodes (BN) to protect the batteries from wasting the charge when short-circuit faults occur. The electric features of battery selectors and over current protectors, the two types of important electric devices used in FPNs, are illustrated in the paper. We have performed simulation experiments and the results show that our FPNs are more dependable than some common electric networks published before in the cases of short- and open-circuit faults.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Electronic textiles, known as computational fabrics, offer an emerging method for constructing wearable and large area applications. Because e-textiles are battery-driven and fault-prone systems, there is a need for developing a dependable infrastructure of the electric networks for e-textiles. In this paper, a new infrastructure of the power networks for e-textiles, flexible power network (FPN), is presented. Instead of drawing power from a fixed battery as in the conventional electric networks, the power consuming nodes in a FPN can obtain power energy from one of the choices of batteries available with the help of the battery selectors. We also introduce the over current protectors into the battery nodes (BN) to protect the batteries from wasting the charge when short-circuit faults occur. The electric features of battery selectors and over current protectors, the two types of important electric devices used in FPNs, are illustrated in the paper. We have performed simulation experiments and the results show that our FPNs are more dependable than some common electric networks published before in the cases of short- and open-circuit faults.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "Electronic textiles, known as computational fabrics, offer an emerging method for constructing wearable and large area applications. Because e-textiles are battery-driven and fault-prone systems, there is a need for developing a dependable infrastructure of the electric networks for e-textiles. In this paper, a new infrastructure of the power networks for e-textiles, flexible power network (FPN), is presented. Instead of drawing power from a fixed battery as in the conventional electric networks, the power consuming nodes in a FPN can obtain power energy from one of the choices of batteries available with the help of the battery selectors. We also introduce the over current protectors into the battery nodes (BN) to protect the batteries from wasting the charge when short-circuit faults occur. The electric features of battery selectors and over current protectors, the two types of important electric devices used in FPNs, are illustrated in the paper. We have performed simulation experiments and the results show that our FPNs are more dependable than some common electric networks published before in the cases of short- and open-circuit faults.",
"fno": "01639318",
"keywords": [
"Open Circuit Fault",
"Electric Network",
"E Textiles",
"Electronic Textiles",
"Computational Fabrics",
"Wearable Application",
"Large Area Application",
"Battery Driven System",
"Fault Prone System",
"Flexible Power Network",
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"affiliation": "Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China",
"fullName": "Nenggan Zheng",
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"affiliation": "Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China",
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"affiliation": null,
"fullName": "Man Lin",
"givenName": null,
"surname": "Man Lin",
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{
"affiliation": null,
"fullName": "Minde Zhao",
"givenName": null,
"surname": "Minde Zhao",
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"proceeding": {
"id": "12OmNzcxZeM",
"title": "2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS)",
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"article": {
"id": "12OmNzIUfY5",
"doi": "10.1109/PADSW.2014.7097909",
"title": "Transmission characteristics of hybrid structure yarns for e-textiles",
"normalizedTitle": "Transmission characteristics of hybrid structure yarns for e-textiles",
"abstract": "Twisted Copper Filaments (TCF) have been made by a yarn covering process in order to transmit signals and powers for electronic textiles. The 560 den. polyurethane filaments were covered in S-twist direction by urethane-coated copper wires. Final filaments were found to be changed in resonance frequency mainly due to the change of di-electricity and thus capacitance caused by PET covered on it. It have been concluded that while resonance frequency was primarily determined by filament length and dielectric constant of covering yarns, S11 and S21 were mainly determined by measurement length and ply number.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Twisted Copper Filaments (TCF) have been made by a yarn covering process in order to transmit signals and powers for electronic textiles. The 560 den. polyurethane filaments were covered in S-twist direction by urethane-coated copper wires. Final filaments were found to be changed in resonance frequency mainly due to the change of di-electricity and thus capacitance caused by PET covered on it. It have been concluded that while resonance frequency was primarily determined by filament length and dielectric constant of covering yarns, S11 and S21 were mainly determined by measurement length and ply number.",
"__typename": "ArticleAbstractType"
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],
"normalizedAbstract": "Twisted Copper Filaments (TCF) have been made by a yarn covering process in order to transmit signals and powers for electronic textiles. The 560 den. polyurethane filaments were covered in S-twist direction by urethane-coated copper wires. Final filaments were found to be changed in resonance frequency mainly due to the change of di-electricity and thus capacitance caused by PET covered on it. It have been concluded that while resonance frequency was primarily determined by filament length and dielectric constant of covering yarns, S11 and S21 were mainly determined by measurement length and ply number.",
"fno": "07097909",
"keywords": [
"Optical Fiber Devices",
"Copper",
"Yarn",
"Resonant Frequency",
"Optical Fiber Networks",
"Electrical Resistance Measurement",
"Frequency Measurement",
"Smart Clothing",
"Hybrid Structure Yarn",
"Digital Textile",
"Conducting Fibers"
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"authors": [
{
"affiliation": "Dept. of organic materials and fiber engineering, Soongsil University, Seoul, Korea",
"fullName": "Min Ki Choi",
"givenName": "Min Ki",
"surname": "Choi",
"__typename": "ArticleAuthorType"
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{
"affiliation": "Dept. of organic materials and fiber engineering, Soongsil University, Seoul, Korea",
"fullName": "Jooyong Kim",
"givenName": "Jooyong",
"surname": "Kim",
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"pubDate": "2014-12-01T00:00:00",
"pubType": "proceedings",
"pages": "921-925",
"year": "2014",
"issn": null,
"isbn": "978-1-4799-7615-7",
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"abstract": "A light field is formed by densely capturing images on a regular sub-aperture grid. Geometry information endowed in the epipolar plane images(EPI) can only lead to a 2. 5D reconstruction. In order to obtain a full 360°view of an object, we focus on light fields captured by a circularly moving camera, resulting in circular light fields (or Cir-LFs in short). Compared with traditional EPIs, Circular EPIs(CEPIs) provide unique advantages, such as that corresponding points forming a 3D sinusoid like curve instead of a 2D straight line and geometry information encoded sequentially in multiple adjacent views along the curve. However, current reconstruction methods only focus on the 2D projection of 3D curve, leading to distortions in the reconstructed upper and lower surfaces. We propose to analyze 3D features contained in the 3D CEPI volume and we develop a deep CNN-LSTM network to model the gradient map in the CEPI volume. Additionally, a large scale Cir-LF dataset is constructed for research purpose. Experiments on both synthetic and real scenes demonstrate the effectiveness and generaliability of the proposed method.",
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"content": "A light field is formed by densely capturing images on a regular sub-aperture grid. Geometry information endowed in the epipolar plane images(EPI) can only lead to a 2. 5D reconstruction. In order to obtain a full 360°view of an object, we focus on light fields captured by a circularly moving camera, resulting in circular light fields (or Cir-LFs in short). Compared with traditional EPIs, Circular EPIs(CEPIs) provide unique advantages, such as that corresponding points forming a 3D sinusoid like curve instead of a 2D straight line and geometry information encoded sequentially in multiple adjacent views along the curve. However, current reconstruction methods only focus on the 2D projection of 3D curve, leading to distortions in the reconstructed upper and lower surfaces. We propose to analyze 3D features contained in the 3D CEPI volume and we develop a deep CNN-LSTM network to model the gradient map in the CEPI volume. Additionally, a large scale Cir-LF dataset is constructed for research purpose. Experiments on both synthetic and real scenes demonstrate the effectiveness and generaliability of the proposed method.",
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"abstract": "In this paper the methodology of vertical jump analysis is presented. Measured results of vertical force during jump are presented. Six subjects (members of \"Red star\" football club) perform different types of jump (flywheel jump, jump without flywheel, and jump with landing on the left and right foot while vertical ground reaction force is measured using a force plate. One axial load cell force sensor is also used. The measure value of force and position of a body part is used together with finite element method simulation in order to obtain von Mises stress distribution on the tibia, femur and cartilage in the knee joint. The average value of von Mises stress has a significant impact on the injuries and condition of the knee cartilage.",
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"abstract": "The bionic flapping hydrofoil propulsion, as a new propulsion mode, is different with the traditionary screw propeller, and it has attract the interest of the technologist in the aeronautics, astronautics and marine field. The underwater bionic flapping hydrofoil propeller is a system which can produce the thrust and can also produce the control force. This paper describes a hydrodynamics model of the bionic flapping hydrofoil propeller. The model is used to simulate the hydrodynamics of the bionic flapping hydrofoil propeller. The simulation results indicate that the hydrodynamics model of the bionic flapping hydrofoil propeller is effective and accurate. The results also show that the flapping hydrofoil propeller can create the steady thrust.",
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"title": "Proceedings 1992 IEEE International Conference on Robotics and Automation",
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"title": "A walking prescription for statically-stable walkers based on walker/terrain interaction",
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"abstract": "The walker/terrain interaction phenomena for the control of a statically stable walking machine are described. The algorithms, measures, and knowledge of walker/terrain interaction phenomena are then combined to form a prescription for how to walk on general terrain. This prescription consists of two parts: nominal control and reactive control. The function of nominal control is the evaluation and execution of planned motions, based on predicted foot force redistributions, to achieve reliable locomotion. The function of reactive control is the monitoring of walker/terrain interaction in real-time to detect anomalous conditions and then respond with the appropriate reflexive actions. Simulations and experiments have been used to test and verify various aspects of the walking prescription.<>",
"abstracts": [
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"content": "The walker/terrain interaction phenomena for the control of a statically stable walking machine are described. The algorithms, measures, and knowledge of walker/terrain interaction phenomena are then combined to form a prescription for how to walk on general terrain. This prescription consists of two parts: nominal control and reactive control. The function of nominal control is the evaluation and execution of planned motions, based on predicted foot force redistributions, to achieve reliable locomotion. The function of reactive control is the monitoring of walker/terrain interaction in real-time to detect anomalous conditions and then respond with the appropriate reflexive actions. Simulations and experiments have been used to test and verify various aspects of the walking prescription.<>",
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"Position Control",
"Stability",
"Walking Robots",
"Unknown Terrain",
"Natural Terrain",
"Walking Prescription",
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"Walker Terrain Interaction",
"Nominal Control",
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"Predicted Foot Force Redistributions",
"Legged Locomotion",
"Leg",
"Force Control",
"Foot",
"Extraterrestrial Measurements",
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"Stability",
"Mechanical Engineering",
"Condition Monitoring"
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"affiliation": "Carnegie Mellon Univ., Pittsburgh, PA, USA",
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"affiliation": "Carnegie Mellon Univ., Pittsburgh, PA, USA",
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{
"proceeding": {
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"doi": "10.1109/ICIA.2006.305812",
"title": "Basic Research on Power Assist Walking Leg Using Force/Velocity Control Strategies",
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"abstract": "In this paper, we intend to introduce a concept of power assist walking support system and a fundamental strategy of walking support using human-robot interaction force information. The work presented is developing a mechanism, which is in physical contact with the human body, with goal of decreasing human inner force/increasing human strength during a certain activities or for special groups, such as succor, care-worker, elderly people, soldier and fireman. There are several problems in this project. First, the structure problem is studied using ergonomics. Second, robot must understand the user motion intention and planning of the legs. Then, a very important aspect of the problem, how to control the power assist walking system, is also investigated. And the system must be simple for user, i.e. the user should be able to manipulate the walking support system easily. Therefore, we tentatively propose a strategy using the human-robot interaction forces between the assistant walking legs and the human legs. The system is also expected to have powerful impacts on many applications during activities of daily life. Correlative experimental results are presented to show the effectiveness of the control strategies",
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"abstractType": "Regular",
"content": "In this paper, we intend to introduce a concept of power assist walking support system and a fundamental strategy of walking support using human-robot interaction force information. The work presented is developing a mechanism, which is in physical contact with the human body, with goal of decreasing human inner force/increasing human strength during a certain activities or for special groups, such as succor, care-worker, elderly people, soldier and fireman. There are several problems in this project. First, the structure problem is studied using ergonomics. Second, robot must understand the user motion intention and planning of the legs. Then, a very important aspect of the problem, how to control the power assist walking system, is also investigated. And the system must be simple for user, i.e. the user should be able to manipulate the walking support system easily. Therefore, we tentatively propose a strategy using the human-robot interaction forces between the assistant walking legs and the human legs. The system is also expected to have powerful impacts on many applications during activities of daily life. Correlative experimental results are presented to show the effectiveness of the control strategies",
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"abstract": "The increasing use of virtual reality (VR) and augmented reality (AR) systems has opened the possibility of providing immersive experiences to the general population around the world. However, most of the existing systems do not provide highly effective force-feedback experiences to the user. To provide such augmented systems in combination with force-feedback, novel ideas must be introduced that can be easily integrated with the existing VR and AR technologies. This work proposes a first-person VR game integrated with a soft exoskeleton that enhances the quality of interaction between the subject and the virtual environment (VE) through an additional force-feedback element. The effect of introducing the force-feedback element on the user is analyzed by using biosensors and questionnaire feedback. The biosensors are used to measure the level of anxiety induced in the subject during interaction with the virtual environment. Conditions in which this interaction occurs with and without force-feedback are compared. The questionnaire analyzes the perceived change in emotions of users as a result of the introduction of the force-feedback element. This game can be played by most individuals, regardless of age and physical fitness.",
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"content": "The increasing use of virtual reality (VR) and augmented reality (AR) systems has opened the possibility of providing immersive experiences to the general population around the world. However, most of the existing systems do not provide highly effective force-feedback experiences to the user. To provide such augmented systems in combination with force-feedback, novel ideas must be introduced that can be easily integrated with the existing VR and AR technologies. This work proposes a first-person VR game integrated with a soft exoskeleton that enhances the quality of interaction between the subject and the virtual environment (VE) through an additional force-feedback element. The effect of introducing the force-feedback element on the user is analyzed by using biosensors and questionnaire feedback. The biosensors are used to measure the level of anxiety induced in the subject during interaction with the virtual environment. Conditions in which this interaction occurs with and without force-feedback are compared. The questionnaire analyzes the perceived change in emotions of users as a result of the introduction of the force-feedback element. This game can be played by most individuals, regardless of age and physical fitness.",
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"affiliation": "Arizona State University, CuBiC",
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"affiliation": "Hiroshima University, JST PRESTO",
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"abstract": "Given a massive graph, how can we exploit its hierarchical structure for concisely but exactly summarizing the graph? By exploiting the structure, can we achieve better compression rates than state-of-the-art graph summarization methods? The explosive proliferation of the Web has accelerated the emergence of large graphs, such as online social networks and hyperlink networks. Consequently, graph compression has become increasingly important to process such large graphs without expensive I/O over the network or to disk. Among a number of approaches, graph summarization, which in essence combines similar nodes into a supernode and describe their connectivity concisely, protrudes with several advantages. However, we note that it fails to exploit pervasive hierarchical structures of real-world graphs as its underlying representation model enforces supernodes to be disjoint. In this work, we propose the hierarchical graph summarization model, which is an expressive graph representation model that includes the previous one proposed by Navlakha et al. as a special case. The new model represents an unweighted graph using positive and negative edges between hierarchical supernodes, each of which can contain others. Then, we propose Slugger, a scalable heuristic for concisely and exactly representing a given graph under our new model. Slugger greedily merges nodes into supernodes while maintaining and exploiting their hierarchy, which is later pruned. Slugger significantly accelerates this process by sampling, approximation, and memoization. Our experiments on 16 real-world graphs show that Slugger is (a) Effective: yielding up to 29.6% more concise summary than state-of-the-art lossless summarization methods, (b) Fast: summarizing a graph with 0.8 billion edges in a few hours, and (c) Scalable: scaling linearly with the number of edges in the input graph.",
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"title": "Realistic facial expression synthesis for an image-based talking head",
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"abstract": "This paper presents an image-based talking head system that is able to synthesize realistic facial expressions accompanying speech, given arbitrary text input and control tags of facial expression. As an example of facial expression primitives, smile is used. First, three types of videos are recorded: a performer speaking without any expressions, smiling while speaking, and smiling after speaking. By analyzing the recorded audiovisual data, an expressive database is built and contains normalized neutral mouth images and smiling mouth images, as well as their associated features and expressive labels. The expressive talking head is synthesized by an unit selection algorithm, which selects and concatenates appropriate mouth image segments from the expressive database. Experimental results show that the smiles of talking heads are as realistic as the real ones objectively, and the viewers cannot distinguish the real smiles from the synthesized ones.",
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"abstract": "Recent studies in talking face generation have focused on building a model that can generalize from any source speech to any target identity. A number of works have already claimed this functionality and have added that their models will also generalize to any language. However, we show, using languages from different language families, that these models do not translate well when the training language and the testing language are sufficiently different. We reduce the scope of the problem to building a language-robust talking face generation system on seen identities, i.e., the target identity is the same as the training identity. In this work, we introduce a talking face generation system that generalizes to different languages. We evaluate the efficacy of our system using a multilingual text-to-speech system. We present the joint text-to-speech system and the talking face generation system as a neural dubber system. Our demo is available at https://bit.ly/ml-face-generation-cvpr22-demo. Also, our screencast is uploaded at https://youtu.be/F6h0s0M4vBI.",
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"content": "Recent studies in talking face generation have focused on building a model that can generalize from any source speech to any target identity. A number of works have already claimed this functionality and have added that their models will also generalize to any language. However, we show, using languages from different language families, that these models do not translate well when the training language and the testing language are sufficiently different. We reduce the scope of the problem to building a language-robust talking face generation system on seen identities, i.e., the target identity is the same as the training identity. In this work, we introduce a talking face generation system that generalizes to different languages. We evaluate the efficacy of our system using a multilingual text-to-speech system. We present the joint text-to-speech system and the talking face generation system as a neural dubber system. Our demo is available at https://bit.ly/ml-face-generation-cvpr22-demo. Also, our screencast is uploaded at https://youtu.be/F6h0s0M4vBI.",
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"abstract": "The eye-blink pattern is crucial for drowsy driving diagnostics, which has become an increasingly serious social issue. However, traditional methods (e.g., with EOG, camera, wearable, and acoustic sensors) are less applicable to real-life scenarios due to the disharmony between user-friendliness, monitoring accuracy, and privacy-preserving. In this work, we design and implement BlinkRadar as a low-cost and contact-free system to conduct fine-grained eye-blink monitoring in a driving situation using a customized impulse-radio ultra-wideband (IR-UWB) radar which has superior spatial resolution with the ultra-wide bandwidth. BlinkRadar leverages an IR-UWB radar to achieve contact-free sensing, and it fully exploits the complex radar signal for data augmentation. BlinkRadar aims to single out the eye-blink induced waveforms modulated by body movements and vehicle status. It solves the serious interference caused by the unique characteristics of blinking (i.e., subtle, sparse, and non-periodic) and from the human target itself and surrounding objects. We evaluate BlinkRadar in a laboratory environment and during actual road testing. Experimental results show that BlinkRadar can achieve a robust performance of drowsy driving with a median detection accuracy of 92.2% and eye blink detection of 95.5%.",
"abstracts": [
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"content": "The eye-blink pattern is crucial for drowsy driving diagnostics, which has become an increasingly serious social issue. However, traditional methods (e.g., with EOG, camera, wearable, and acoustic sensors) are less applicable to real-life scenarios due to the disharmony between user-friendliness, monitoring accuracy, and privacy-preserving. In this work, we design and implement BlinkRadar as a low-cost and contact-free system to conduct fine-grained eye-blink monitoring in a driving situation using a customized impulse-radio ultra-wideband (IR-UWB) radar which has superior spatial resolution with the ultra-wide bandwidth. BlinkRadar leverages an IR-UWB radar to achieve contact-free sensing, and it fully exploits the complex radar signal for data augmentation. BlinkRadar aims to single out the eye-blink induced waveforms modulated by body movements and vehicle status. It solves the serious interference caused by the unique characteristics of blinking (i.e., subtle, sparse, and non-periodic) and from the human target itself and surrounding objects. We evaluate BlinkRadar in a laboratory environment and during actual road testing. Experimental results show that BlinkRadar can achieve a robust performance of drowsy driving with a median detection accuracy of 92.2% and eye blink detection of 95.5%.",
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"abstract": "We examine the utility of implicit behavioral cues in the form of EEG brain signals and eye movements for gender recognition (GR) and emotion recognition (ER). Specifically, the examined cues are acquired via low-cost, off-the-shelf sensors. We asked 28 viewers (14 female) to recognize emotions from unoccluded (no mask) as well as partially occluded (eye and mouth masked) emotive faces. Obtained experimental results reveal that (a) reliable GR and ER is achievable with EEG and eye features, (b) differential cognitive processing especially for negative emotions is observed for males and females and (c) some of these cognitive differences manifest under partial face occlusion, as typified by the eye and mouth mask conditions.",
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"affiliation": "Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, Singapore",
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"abstract": "Electroencephalograph (EEG) data is used to diagnose brain conditions, such as epilepsy. The brain gives off electrical activity in voltages at different parts of the cerebral cortex. When electroen-cephalograph (EEG) data is taken, analyzing the data can show which part of the brain has activity and how much activity. However, currently studies only consider spatial and temporal parts of brain activities separately. In this study, we propose to fuse spatio-temporal information together via imitation learning to better understand brain activities, especially cortical speech-evoked responses. We will validate our methods via a real-life dataset to understand the patterns and distinguish hearing-impaired individuals from normal-hearing individuals based on brain activities (i.e., cortical speech-evoked responses). To the best of our knowledge, we are the first group to use imitation learning for brain activity study, especially the cortical speech-evoked responses. Our methods have the potential to be integrated as a sustainable service and can be leveraged for future hearing research.",
"abstracts": [
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"content": "Electroencephalograph (EEG) data is used to diagnose brain conditions, such as epilepsy. The brain gives off electrical activity in voltages at different parts of the cerebral cortex. When electroen-cephalograph (EEG) data is taken, analyzing the data can show which part of the brain has activity and how much activity. However, currently studies only consider spatial and temporal parts of brain activities separately. In this study, we propose to fuse spatio-temporal information together via imitation learning to better understand brain activities, especially cortical speech-evoked responses. We will validate our methods via a real-life dataset to understand the patterns and distinguish hearing-impaired individuals from normal-hearing individuals based on brain activities (i.e., cortical speech-evoked responses). To the best of our knowledge, we are the first group to use imitation learning for brain activity study, especially the cortical speech-evoked responses. Our methods have the potential to be integrated as a sustainable service and can be leveraged for future hearing research.",
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"abstract": "Using different priors (e.g. shape and appearance) have proven critical for robust image segmentation of different types of target objects. Many existing methods for extracting trees (e.g. vascular or airway trees) from medical images have leveraged appearance priors (e.g. tubular-ness and bifurcationness) and the knowledge of the cross-sectional geometry (e.g. circles or ellipses) of the tree-forming tubes. In this work, we present the first method for 3D tree extraction from 3D medical images (e.g. CT or MRI) that, in addition to appearance and cross-sectional geometry priors, utilizes prior tree statistics collected from the training data. Our tree extraction method collects and leverages topological tree prior and geometrical statistics, including tree hierarchy, branch angle and length statistics. Our implementation takes the form of a Bayesian tree centerline tracking method combining the aforementioned tree priors with observed image data. We evaluated our method on both synthetic 3D datasets and real clinical CT chest datasets. For synthetic data, our method's key feature of incorporating tree priors resulted in at least 13% increase in correctly detected branches under different noise levels. For real clinical scans, the mean distance from ground truth centerlines to the detected centerlines by our method was improved by 12% when utilizing tree priors. Both experiments validate that, by incorporating tree statistics, our tree extraction method becomes more robust to noise and provides more accurate branch localization.",
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"title": "Detecting sex trafficking circuits in the U.S. through analysis of online escort advertisements",
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"abstract": "The use of social network analysis is used to identify possible victims of sex trafficking and the observation of domestic trafficking flows across the U.S. A novel approach to the analysis is presented with the understanding further development is needed. Online escort advertisements were analyzed for virtual indicators of sex trafficking and to identify patterns of activity that may be associated with criminal networks. The results suggest that 67% of the sample contained indicators of movement. Social network analysis methods were applied to identify movement trends across the US. The use of SNA methods allowed prominent hubs and circuits of this activity to be observed, by providing a tool to uncover covert network structures and activity, yielding a method to capture movement trends of potential trafficked persons. The integration of geospatial data allowed maps to be created in order to visualize movement patterns.",
"abstracts": [
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"content": "The use of social network analysis is used to identify possible victims of sex trafficking and the observation of domestic trafficking flows across the U.S. A novel approach to the analysis is presented with the understanding further development is needed. Online escort advertisements were analyzed for virtual indicators of sex trafficking and to identify patterns of activity that may be associated with criminal networks. The results suggest that 67% of the sample contained indicators of movement. Social network analysis methods were applied to identify movement trends across the US. The use of SNA methods allowed prominent hubs and circuits of this activity to be observed, by providing a tool to uncover covert network structures and activity, yielding a method to capture movement trends of potential trafficked persons. The integration of geospatial data allowed maps to be created in order to visualize movement patterns.",
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"normalizedAbstract": "The use of social network analysis is used to identify possible victims of sex trafficking and the observation of domestic trafficking flows across the U.S. A novel approach to the analysis is presented with the understanding further development is needed. Online escort advertisements were analyzed for virtual indicators of sex trafficking and to identify patterns of activity that may be associated with criminal networks. The results suggest that 67% of the sample contained indicators of movement. Social network analysis methods were applied to identify movement trends across the US. The use of SNA methods allowed prominent hubs and circuits of this activity to be observed, by providing a tool to uncover covert network structures and activity, yielding a method to capture movement trends of potential trafficked persons. The integration of geospatial data allowed maps to be created in order to visualize movement patterns.",
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"affiliation": "Center on the Family, University of Hawai'i, Honolulu, HI USA",
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"affiliation": "Dept. of Computer & Information Sciences, University of Hawai'i, Honolulu, HI USA",
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"doi": "10.1109/BigData55660.2022.10020695",
"title": "The Impact of COVID-19 on Human Mobility: A Case Study on New York",
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"abstract": "COVID-19 has dramatically changed people’s mobility patterns. This report aims to analyze the impact of COVID-19 on people’s mobility through statistics and comparing the visits of POIs (Point-Of-Interests) in New York State in 2019 and 2020. The report uses data from SafeGraph, which is a data company. The raw data contains POI visits across the United States in 2019 and 2020. Considering the analysis size and difficulty of the data, POI visits from New York State are extracted for analysis, and POI locations are classified according to the tags provided by the source data. The scale of analysis is from macro to micro, and they are the total POI visits data of New York State based on different ways in 2019 and 2020, the POI visits of CBG (Census Block Group) division in New York City, and three representative POI samples to do individual analysis. The analysis methods are: (1) use line plot and bar plot statistics to compare the trends of POI visits data from 2019 to 2020, and (2) make the spatial visualization comparison, which includes grid map, scatter map, heatmap, and OD map, between the first peak of epidemic impact in the first full week of April 2019 and April 2020, and the scope is narrowed to New York City. Wherein the OD maps are drawn based on the CBG division. Compared to related work, the analysis object includes CBG, categories, and individual POI. In addition, the analysis method combines statistical graphs and spatial visualizations and explores the policy impact of the New York City government. This report adopts more multidimensional analysis methods and objects to improve the comprehensiveness and reliability of the analysis content.",
"abstracts": [
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"content": "COVID-19 has dramatically changed people’s mobility patterns. This report aims to analyze the impact of COVID-19 on people’s mobility through statistics and comparing the visits of POIs (Point-Of-Interests) in New York State in 2019 and 2020. The report uses data from SafeGraph, which is a data company. The raw data contains POI visits across the United States in 2019 and 2020. Considering the analysis size and difficulty of the data, POI visits from New York State are extracted for analysis, and POI locations are classified according to the tags provided by the source data. The scale of analysis is from macro to micro, and they are the total POI visits data of New York State based on different ways in 2019 and 2020, the POI visits of CBG (Census Block Group) division in New York City, and three representative POI samples to do individual analysis. The analysis methods are: (1) use line plot and bar plot statistics to compare the trends of POI visits data from 2019 to 2020, and (2) make the spatial visualization comparison, which includes grid map, scatter map, heatmap, and OD map, between the first peak of epidemic impact in the first full week of April 2019 and April 2020, and the scope is narrowed to New York City. Wherein the OD maps are drawn based on the CBG division. Compared to related work, the analysis object includes CBG, categories, and individual POI. In addition, the analysis method combines statistical graphs and spatial visualizations and explores the policy impact of the New York City government. This report adopts more multidimensional analysis methods and objects to improve the comprehensiveness and reliability of the analysis content.",
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"affiliation": "Southern University of Science and Technology,Department of Computer Science and Engineering,China",
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"affiliation": "The University of Tokyo,Information Technology Center,Japan",
"fullName": "Renhe Jiang",
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{
"affiliation": "Southern University of Science and Technology,Department of Computer Science and Engineering,China",
"fullName": "Jiewen Deng",
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{
"affiliation": "Southern University of Science and Technology,Department of Computer Science and Engineering,China",
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"title": "2021 IEEE 37th International Conference on Data Engineering (ICDE)",
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"title": "GeoDart: A System for Discovering Maps Discrepancies",
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"abstract": "Map service providers are working hard to maintain high-quality maps service to more than three billion digital maps users. As each provider presents its unique routing engine and road network graph (RNG) mapping techniques, inconsistencies in services provided are inevitable. These inconsistencies may be of two types- (1) inconsistencies in RNG, including missing or shifted road segments, missing turn restriction, or mislabeled road attributes; or (2) inconsistencies in routing service arising from the unique routing algorithm (RA). Discovering those inconsistencies would improve the routing services efficiency. This paper presents a system, named GeoDart, that compares publicly available routing data from the APIs of Bing Maps, Google Maps, and OpenStreetMaps (OSM) to automatically discover discrepancies. The system categorizes the detected discrepancies based on (1) routing data such as distance, duration, and route geometry, (2) the attributes of the road segments, and (3) the connectivity and turn restrictions of the RNG. Equipped with an ensemble of Multi-Layer Perception (MLP) and Support Vector Machine Classifiers (SVC), GeoDart can efficiently discover and classify maps discrepancies. Through its graphical interface, the GeoDart system enables users such as professional editors and cartographers to visually inspect, identify, and correct map discrepancies mutually across the three engines.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Map service providers are working hard to maintain high-quality maps service to more than three billion digital maps users. As each provider presents its unique routing engine and road network graph (RNG) mapping techniques, inconsistencies in services provided are inevitable. These inconsistencies may be of two types- (1) inconsistencies in RNG, including missing or shifted road segments, missing turn restriction, or mislabeled road attributes; or (2) inconsistencies in routing service arising from the unique routing algorithm (RA). Discovering those inconsistencies would improve the routing services efficiency. This paper presents a system, named GeoDart, that compares publicly available routing data from the APIs of Bing Maps, Google Maps, and OpenStreetMaps (OSM) to automatically discover discrepancies. The system categorizes the detected discrepancies based on (1) routing data such as distance, duration, and route geometry, (2) the attributes of the road segments, and (3) the connectivity and turn restrictions of the RNG. Equipped with an ensemble of Multi-Layer Perception (MLP) and Support Vector Machine Classifiers (SVC), GeoDart can efficiently discover and classify maps discrepancies. Through its graphical interface, the GeoDart system enables users such as professional editors and cartographers to visually inspect, identify, and correct map discrepancies mutually across the three engines.",
"__typename": "ArticleAbstractType"
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"normalizedAbstract": "Map service providers are working hard to maintain high-quality maps service to more than three billion digital maps users. As each provider presents its unique routing engine and road network graph (RNG) mapping techniques, inconsistencies in services provided are inevitable. These inconsistencies may be of two types- (1) inconsistencies in RNG, including missing or shifted road segments, missing turn restriction, or mislabeled road attributes; or (2) inconsistencies in routing service arising from the unique routing algorithm (RA). Discovering those inconsistencies would improve the routing services efficiency. This paper presents a system, named GeoDart, that compares publicly available routing data from the APIs of Bing Maps, Google Maps, and OpenStreetMaps (OSM) to automatically discover discrepancies. The system categorizes the detected discrepancies based on (1) routing data such as distance, duration, and route geometry, (2) the attributes of the road segments, and (3) the connectivity and turn restrictions of the RNG. Equipped with an ensemble of Multi-Layer Perception (MLP) and Support Vector Machine Classifiers (SVC), GeoDart can efficiently discover and classify maps discrepancies. Through its graphical interface, the GeoDart system enables users such as professional editors and cartographers to visually inspect, identify, and correct map discrepancies mutually across the three engines.",
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"authors": [
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"affiliation": "University of Washington,Tacoma,WA,USA",
"fullName": "Ayush Bandil",
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"fullName": "Mohamed Ali",
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"Biomechanics",
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