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"abstract": "This thesis presents a new algorithm for simulating smoke animation based on the particle system and physical dynamics principle. To accelerate the collision detection between particles and scene objects, we propose to build the binary space partitioning tree for scene objects as a pretreatment. During the animation of particles, they are clustered on-the-fly as particle cluster trees. The binary space partitioning tree and particle cluster are used to detect the collision of between particles and scene objects, through which better performance is achieved. We show how to accomplish the rendering of particles by quads based rendering technique. Furthermore, the fading effect is simulated by means of a gradual color thinning and syncretizing technique. Experimental results show that our algorithm achieves real-time simulation to both the animation and appearance of dense smoke in consumer PC platform.",
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"abstract": "We have created an integrated interactive visualization and analysis environment that can be used immersively or on the desktop to study a simulation of microstructure development during hydration or degradation of cement pastes and concrete. Our environment combines traditional 3D scientific data visualization with 2D information visualization using D3.js running in a web browser. By incorporating D3.js, our visualization allowed the scientist to quickly diagnose and debug errors in the parallel implementation of the simulation.",
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"doi": "10.1109/ICMTMA52658.2021.00032",
"title": "Parametric modeling of mechanical reducer gear based on particle swarm optimization",
"normalizedTitle": "Parametric modeling of mechanical reducer gear based on particle swarm optimization",
"abstract": "The mechanical reducer gear has the advantages of good meshing performance, strong bearing capacity and smooth transmission, which has been widely used in the mechanical transmission system. But the traditional design cycle of mechanical reducer gear parameters is long, especially the gear calibration analysis, the calculation process is cumbersome and labor intensity is high, which leads to the incomplete interface of mechanical reducer gear model. In order to improve the analysis accuracy, a lot of correction work is needed. Therefore, based on particle swarm optimization algorithm for mechanical reducer gear parametric modeling research. Based on SolidWorks 3D software, the parametric development of spur gear, modified helical gear, bevel gear, internal gear, tooth root transition curve and helix is carried out. The finite element contact theory is introduced to calculate the contact problem of two cylinders, and compared with the classical Hertz theory, the correctness of the theory is verified. On this basis, the influence of friction on the contact stress and meshing strength of gears is obtained by setting different sliding friction coefficients, and compared with the theoretical calculation results, the correctness of the finite element analysis is verified.",
"abstracts": [
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"content": "The mechanical reducer gear has the advantages of good meshing performance, strong bearing capacity and smooth transmission, which has been widely used in the mechanical transmission system. But the traditional design cycle of mechanical reducer gear parameters is long, especially the gear calibration analysis, the calculation process is cumbersome and labor intensity is high, which leads to the incomplete interface of mechanical reducer gear model. In order to improve the analysis accuracy, a lot of correction work is needed. Therefore, based on particle swarm optimization algorithm for mechanical reducer gear parametric modeling research. Based on SolidWorks 3D software, the parametric development of spur gear, modified helical gear, bevel gear, internal gear, tooth root transition curve and helix is carried out. The finite element contact theory is introduced to calculate the contact problem of two cylinders, and compared with the classical Hertz theory, the correctness of the theory is verified. On this basis, the influence of friction on the contact stress and meshing strength of gears is obtained by setting different sliding friction coefficients, and compared with the theoretical calculation results, the correctness of the finite element analysis is verified.",
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"normalizedAbstract": "The mechanical reducer gear has the advantages of good meshing performance, strong bearing capacity and smooth transmission, which has been widely used in the mechanical transmission system. But the traditional design cycle of mechanical reducer gear parameters is long, especially the gear calibration analysis, the calculation process is cumbersome and labor intensity is high, which leads to the incomplete interface of mechanical reducer gear model. In order to improve the analysis accuracy, a lot of correction work is needed. Therefore, based on particle swarm optimization algorithm for mechanical reducer gear parametric modeling research. Based on SolidWorks 3D software, the parametric development of spur gear, modified helical gear, bevel gear, internal gear, tooth root transition curve and helix is carried out. The finite element contact theory is introduced to calculate the contact problem of two cylinders, and compared with the classical Hertz theory, the correctness of the theory is verified. On this basis, the influence of friction on the contact stress and meshing strength of gears is obtained by setting different sliding friction coefficients, and compared with the theoretical calculation results, the correctness of the finite element analysis is verified.",
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"keywords": [
"Calibration",
"Finite Element Analysis",
"Friction",
"Gears",
"Mechanical Contact",
"Mechanical Engineering Computing",
"Particle Swarm Optimisation",
"Sliding Friction",
"Mechanical Reducer Gear Parametric Modeling Research",
"Spur Gear",
"Modified Helical Gear",
"Bevel Gear",
"Internal Gear",
"Contact Stress",
"Mechanical Transmission System",
"Mechanical Reducer Gear Parameters",
"Gear Calibration Analysis",
"Mechanical Reducer Gear Model",
"Particle Swarm Optimization Algorithm",
"Three Dimensional Displays",
"Gears",
"Friction",
"Software Algorithms",
"Particle Measurements",
"Software",
"Parametric Statistics",
"Particle Swarm Optimization",
"Mechanical Reducer",
"Gear Parameters"
],
"authors": [
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"affiliation": "Qingzhou High-tech Institute, Qing zhou,Shandong,China,262500",
"fullName": "Gengle Zheng",
"givenName": "Gengle",
"surname": "Zheng",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Qingzhou High-tech Institute, Qing zhou,Shandong,China,262500",
"fullName": "Lu Da",
"givenName": "Lu",
"surname": "Da",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Qingzhou High-tech Institute, Qing zhou,Shandong,China,262500",
"fullName": "Li Ying",
"givenName": "Li",
"surname": "Ying",
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{
"affiliation": "Qingzhou High-tech Institute, Qing zhou,Shandong,China,262500",
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{
"affiliation": "Qingzhou High-tech Institute, Qing zhou,Shandong,China,262500",
"fullName": "Mingyong Sun",
"givenName": "Mingyong",
"surname": "Sun",
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"abstract": "The steering gear is a very critical component in the control system of the aircraft with steering gear. In order to achieve a high-precision rudder deviation command, it is necessary to detect the mechanical zero position of the steering gear. Based on machine vision, a non-contact method for capturing the mechanical zero position of the gas steering gear was proposed, which aimed to transmit the position of the mechanical zero position to the encoder, and saved it to the system. The method includes three parts: identification, capture and transmission of the center of the mechanical zero position. The edge detection method was used to identify the center of the mechanical zero position which was captured by overlapping the center of the mechanical zero position with the pixel reference point in the pixel coordinate system. To complete the transmission of the reference, according to the relative position of the pixel reference point and the mechanical zero position to be tested, the angle inverse method was used to calculate the encoder value corresponding to the mechanical zero position. This study provides a reliable basis for the calculation of rudder deflection angle and electrical compensation value.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The steering gear is a very critical component in the control system of the aircraft with steering gear. In order to achieve a high-precision rudder deviation command, it is necessary to detect the mechanical zero position of the steering gear. Based on machine vision, a non-contact method for capturing the mechanical zero position of the gas steering gear was proposed, which aimed to transmit the position of the mechanical zero position to the encoder, and saved it to the system. The method includes three parts: identification, capture and transmission of the center of the mechanical zero position. The edge detection method was used to identify the center of the mechanical zero position which was captured by overlapping the center of the mechanical zero position with the pixel reference point in the pixel coordinate system. To complete the transmission of the reference, according to the relative position of the pixel reference point and the mechanical zero position to be tested, the angle inverse method was used to calculate the encoder value corresponding to the mechanical zero position. This study provides a reliable basis for the calculation of rudder deflection angle and electrical compensation value.",
"__typename": "ArticleAbstractType"
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"normalizedAbstract": "The steering gear is a very critical component in the control system of the aircraft with steering gear. In order to achieve a high-precision rudder deviation command, it is necessary to detect the mechanical zero position of the steering gear. Based on machine vision, a non-contact method for capturing the mechanical zero position of the gas steering gear was proposed, which aimed to transmit the position of the mechanical zero position to the encoder, and saved it to the system. The method includes three parts: identification, capture and transmission of the center of the mechanical zero position. The edge detection method was used to identify the center of the mechanical zero position which was captured by overlapping the center of the mechanical zero position with the pixel reference point in the pixel coordinate system. To complete the transmission of the reference, according to the relative position of the pixel reference point and the mechanical zero position to be tested, the angle inverse method was used to calculate the encoder value corresponding to the mechanical zero position. This study provides a reliable basis for the calculation of rudder deflection angle and electrical compensation value.",
"fno": "416000a001",
"keywords": [
"Aerospace Components",
"Aircraft",
"Computer Vision",
"Edge Detection",
"Gears",
"Mechanical Engineering Computing",
"Steering Systems",
"Mechanical Zero Position Capture",
"Machine Vision",
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"Angle Inverse Method",
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"Rudder Deflection Angle",
"Electrical Compensation Value",
"Gears",
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"Machine Vision",
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"Control Systems",
"Reliability Engineering",
"Aircraft",
"Gas Steering Gear",
"Machine Vision",
"Zero Position Capture",
"Mechanical Zero Position"
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{
"affiliation": "Beijing University of Technology, Beijing,Faculty of Materials and Manufacturing,Beijing,China",
"fullName": "Mingfei Li",
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"title": "A semi-Lagrangian approximation of the Oren-Nayar PDE for the orthographic Shape-from-Shading problem",
"normalizedTitle": "A semi-Lagrangian approximation of the Oren-Nayar PDE for the orthographic Shape-from-Shading problem",
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{
"abstractType": "Regular",
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"__typename": "ArticleAbstractType"
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"normalizedAbstract": "Several advances have been made in the last ten years to improve the Shape-from-Shading model in order to allow its use on real images. The classic Lambertian model, suitable to reconstruct 3D surfaces with uniform reflection properties has shown to be unsuitable for other types of surfaces, for example for rough objects consisting of materials such as clay. Other models have been proposed but it is still unclear what would be the best model. For this reason, we start our analysis for non-Lambertian surfaces. The goal being to find a unique model which should be flexible enough to deal with many kinds of real images. As a starting point for this big project, we consider the non-Lambertian Oren-Nayar reflectance model. In this paper we construct a semi-Lagrangian approximation scheme for its nonlinear partial differential equation and we compare its performances with the classical model in terms of some error indicators on series of benchmarks images.",
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"Rough Surfaces",
"Surface Roughness",
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"Computational Modeling",
"Semi Lagrangian Approximation Scheme",
"Shape From Shading",
"Oren Nayar Differential Model"
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"authors": [
{
"affiliation": "Department of Mathematics, Sapienza - Università di Roma, P.le Aldo Moro 5, Rome, Italy",
"fullName": "Silvia Tozza",
"givenName": "Silvia",
"surname": "Tozza",
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"affiliation": "University of Bergen, Norway",
"fullName": "Ove Daae Lampe",
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"abstract": "Visualization techniques on hierarchical information have been proved their capability in presenting structured disk storage data. However, most existing techniques represented with simple visual methods such as pie chart or histogram, lacking the ability of grasping the usage of the computer. This paper presents a new interactive visualization technique named iHard Disk Viewer (iHDViewer), which aims to display file details and their movement histories, as well as predict the user's activities through visualization results. This tool mainly utilizes four different view panels to display the distribution of files and file folders for a computer system. Specifically, A tree view explains the general distribution of the whole disk storage; A river trend view tracks the files moving history, which is implemented by cubic spline interpolator with restricted boundary conditions to ensure the trend stability and information accuracy; We also use the concept of coordinate extension to visualize the file moving events which supports more intuitive results; A filelist view panel shows the details of the selected files; while a circle view panel interactively displays the status of files and file folders. In addition, considering the importance of human visual perception system in the data analyzing processes, we utilize three color design principles to work through all visual methods. Lastly, this paper demonstrates the effectiveness and efficiency of our new idea to visually analyze computer FileSystems.",
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"abstract": "Opportunities for conducting discussions and expressing opinions on the Web have increased. It is desirable to fully understand the processes and main points of such discussions. In particular, it is important to understand both the main points of discussions and trends of opinions together rather than superficial results. However, such understanding is often difficult since the number of utterances increases as time passes and discussions become complicated. In this research, we aimed at developing methods for visualizing discussions in comments to Web news so that novices can understand both the main points and trends of opinions. This paper mainly overviews a prototype of a discussion visualization system.",
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{
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"affiliation": "Fukushima University,Dept. Computer Science and Mathematics,Fukushima,Japan,960-1296",
"fullName": "Hiroki Wakabayashi",
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"affiliation": "Waseda University,Global Education Center,Tokyo,Japan,169-8050",
"fullName": "Hiroki Nakayama",
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{
"affiliation": "Tsuda University,College of Liberal Arts,Dept. Computer Science,Tokyo,Japan,187-0025",
"fullName": "Ryo Onuma",
"givenName": "Ryo",
"surname": "Onuma",
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"affiliation": "Fukushima University,Dept. Computer Science and Mathematics,Fukushima,Japan,960-1296",
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"givenName": "Hiroaki",
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"affiliation": "Tokyo Gakugei University,Division of Natural Science,Tokyo,Japan,184-8501",
"fullName": "Youzou Miyadera",
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"affiliation": "Fukushima University,Dept. Computer Science and Mathematics,Fukushima,Japan,960-1296",
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"abstract": "Recommending users with preferred point-of-interests (POIs) has become an important task for location-based social networks, which facilitates users' urban exploration by helping them filter out unattractive locations. Although the influence of geographical neighborhood has been studied in the rating prediction task (i.e. regression), few work have exploited it to develop a ranking-oriented objective function to improve top-N item recommendations. To solve this task, we conduct a manual inspection on real-world datasets, and find that each individual's traits are likely to cluster around multiple centers. Hence, we propose a co-pairwise ranking model based on the assumption that users prefer to assign higher ranks to the POIs near previously rated ones. The proposed method can learn preference ordering from non-observed rating pairs, and thus can alleviate the sparsity problem of matrix factorization. Evaluation on two publicly available datasets shows that our method performs significantly better than state-of-the-art techniques for the top-N item recommendation task.",
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"content": "Recommending users with preferred point-of-interests (POIs) has become an important task for location-based social networks, which facilitates users' urban exploration by helping them filter out unattractive locations. Although the influence of geographical neighborhood has been studied in the rating prediction task (i.e. regression), few work have exploited it to develop a ranking-oriented objective function to improve top-N item recommendations. To solve this task, we conduct a manual inspection on real-world datasets, and find that each individual's traits are likely to cluster around multiple centers. Hence, we propose a co-pairwise ranking model based on the assumption that users prefer to assign higher ranks to the POIs near previously rated ones. The proposed method can learn preference ordering from non-observed rating pairs, and thus can alleviate the sparsity problem of matrix factorization. Evaluation on two publicly available datasets shows that our method performs significantly better than state-of-the-art techniques for the top-N item recommendation task.",
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"normalizedAbstract": "Recommending users with preferred point-of-interests (POIs) has become an important task for location-based social networks, which facilitates users' urban exploration by helping them filter out unattractive locations. Although the influence of geographical neighborhood has been studied in the rating prediction task (i.e. regression), few work have exploited it to develop a ranking-oriented objective function to improve top-N item recommendations. To solve this task, we conduct a manual inspection on real-world datasets, and find that each individual's traits are likely to cluster around multiple centers. Hence, we propose a co-pairwise ranking model based on the assumption that users prefer to assign higher ranks to the POIs near previously rated ones. The proposed method can learn preference ordering from non-observed rating pairs, and thus can alleviate the sparsity problem of matrix factorization. Evaluation on two publicly available datasets shows that our method performs significantly better than state-of-the-art techniques for the top-N item recommendation task.",
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"title": "IBBAS: A Visual Analytics System of Large-Scale Traffic Data for Bus Body Advertising",
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"abstract": "Bus body advertising planners have been plagued for a long time for formulating solutions effectively and comparing different solutions efficiently, because there is no such decision support system. In this study, we attempt to use the state-of-the-art data mining and visualization techniques to solve this problem. Using the traffic data, we design a visual analytics system named IBBAS (Intelligent Bus Body Advertising System). This system can deal with two main challenges of the problem: new brand promotion and target group advertising. First, we propose two algorithms: DivideT and EstimateT. DivideT is used for the bus frequency division and EsitimateT is used for the bus arrival time estimation. Then, based on LDA topic model, we design an optimization algorithm to generate bus body advertising solution based on multiple constraints. Finally, we use the visualization techniques to create a system. There are some functional modules used in the system: the heatmap changing with time displays the passenger flow volume of each bus station; the candidate panel allows users to expediently modify the original solution and forms a tailored solution; the compare panel clearly uncovers the differences among multiple solutions with a flexible ranking tool. This system has been demonstrated using case studies with a real-world dataset. We also collected feedback from domain experts and conducted a preliminary evaluation criteria.",
"abstracts": [
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"content": "Bus body advertising planners have been plagued for a long time for formulating solutions effectively and comparing different solutions efficiently, because there is no such decision support system. In this study, we attempt to use the state-of-the-art data mining and visualization techniques to solve this problem. Using the traffic data, we design a visual analytics system named IBBAS (Intelligent Bus Body Advertising System). This system can deal with two main challenges of the problem: new brand promotion and target group advertising. First, we propose two algorithms: DivideT and EstimateT. DivideT is used for the bus frequency division and EsitimateT is used for the bus arrival time estimation. Then, based on LDA topic model, we design an optimization algorithm to generate bus body advertising solution based on multiple constraints. Finally, we use the visualization techniques to create a system. There are some functional modules used in the system: the heatmap changing with time displays the passenger flow volume of each bus station; the candidate panel allows users to expediently modify the original solution and forms a tailored solution; the compare panel clearly uncovers the differences among multiple solutions with a flexible ranking tool. This system has been demonstrated using case studies with a real-world dataset. We also collected feedback from domain experts and conducted a preliminary evaluation criteria.",
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"normalizedAbstract": "User behavior analysis is complex and especially crucial in the cyber security domain. Understanding dynamic and multi-variate user behavior are challenging. Traditional sequential and timeline based method cannot easily address the complexity of temporal and relational features of user behaviors. We propose a map-based visual metaphor and create an interactive map for encoding user behaviors. It enables analysts to explore and identify user behavior patterns and helps them to understand why some behaviors are regarded as anomalous. We experiment with a real dataset containing multiple user sessions, consisting of sequences of diverse types of actions. In the behavior map, we encode an action as a city and user sessions as trajectories going through the cities. The position of the cities is determined by the sequential and temporal relationship of actions. Spatial and temporal patterns on the map reflect behavior patterns in the action space. In the case study, we illustrate how we explore relationships between actions, identify patterns of the typical session and detect anomaly behaviors.",
"fno": "08709223",
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"Behavioural Sciences Computing",
"Data Visualisation",
"Security Of Data",
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"fullName": "Siming Chen",
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"surname": "Chen",
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{
"affiliation": "Peking University",
"fullName": "Shuai Chen",
"givenName": "Shuai",
"surname": "Chen",
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{
"affiliation": "Fraunhofer IAIS/City, University of London",
"fullName": "Natalia Andrienko",
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"affiliation": "City, University of London",
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{
"affiliation": "Amadeus",
"fullName": "Phong H. Nguyen",
"givenName": "Phong H.",
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"fullName": "Cagatay Turkay",
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"affiliation": "Peking University",
"fullName": "Olivier Thonnard",
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{
"affiliation": "Peking University",
"fullName": "Xiaoru Yuan",
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"id": "1hrMyj7tm00",
"title": "2019 IEEE Conference on Visual Analytics Science and Technology (VAST)",
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"doi": "10.1109/VAST47406.2019.8986941",
"title": "cpmViz: A Web-Based Visualization Tool for Uncertain Spatiotemporal Data",
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"abstract": "The goal of the VAST challenge 2019 Mini Challenge 2 was to visualize radioactive contaminations measured by mobile and static sensors and their changes over time, allowing city officials to determine the severity of the leakage at the city's nuclear power plant. We propose cpmViz, a web-based tool that allows for interactive data exploration of the sensor readings in both of the spatial and temporal dimensions. The tool consists out of three views that are connected via linking and scrolling. We visualize static sensor uncertainty by introducing Voronoi cells to illustrate how much space is covered by an individual measurement unit. For mobile sensors, we showcase their activity periods and introduce the concept of sensor streaks as periods of uninterrupted recordings as a temporal uncertainty measure. As for spatial uncertainty, we color individual districts based on the amount of data that was recorded inside the user's selected time window. Using our system, we were able to easily spot major events like the city's initial earthquake in the sensor readings. Certain southern districts are clearly visible as areas of concern that we consider in need of more static sensors. Furthermore, we were also able to identify static as well as moving contaminations.",
"abstracts": [
{
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"content": "The goal of the VAST challenge 2019 Mini Challenge 2 was to visualize radioactive contaminations measured by mobile and static sensors and their changes over time, allowing city officials to determine the severity of the leakage at the city's nuclear power plant. We propose cpmViz, a web-based tool that allows for interactive data exploration of the sensor readings in both of the spatial and temporal dimensions. The tool consists out of three views that are connected via linking and scrolling. We visualize static sensor uncertainty by introducing Voronoi cells to illustrate how much space is covered by an individual measurement unit. For mobile sensors, we showcase their activity periods and introduce the concept of sensor streaks as periods of uninterrupted recordings as a temporal uncertainty measure. As for spatial uncertainty, we color individual districts based on the amount of data that was recorded inside the user's selected time window. Using our system, we were able to easily spot major events like the city's initial earthquake in the sensor readings. Certain southern districts are clearly visible as areas of concern that we consider in need of more static sensors. Furthermore, we were also able to identify static as well as moving contaminations.",
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"affiliation": "Data Analysis and Visualization Group, University of Konstanz,Germany",
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"affiliation": "Data Analysis and Visualization Group, University of Konstanz,Germany",
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"affiliation": "Data Analysis and Visualization Group, University of Konstanz,Germany",
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"proceeding": {
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"title": "2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)",
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"doi": "10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00029",
"title": "Visual Analysis and Exploration of COVID-19 Based on Multi-source Heterogeneous Data",
"normalizedTitle": "Visual Analysis and Exploration of COVID-19 Based on Multi-source Heterogeneous Data",
"abstract": "The novel coronavirus pneumonia (COVID-19) has raged in many countries around the world. In the process of fighting against the COVID-19, unprecedented large-scale epidemic data have been produced such as case data, spatio-temporal data, public opinion data and so on. The increasingly complex data poses a significant challenge to understand. A two-level interactive visualization system named COVID-19Vis is proposed in this paper, which collects epidemic data from multiple sources and provides an interactive mode of multi-graph linkage. Users can not only easily analyze and interpret the spatial-temporal characteristics and potential rules of the epidemic, but also find the relationship between policy, online public opinion and the development of the epidemic situation. Through a large number of visualization effects and user feedback, the effectiveness and practicability of the COVID-19Vis are further verified.",
"abstracts": [
{
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"content": "The novel coronavirus pneumonia (COVID-19) has raged in many countries around the world. In the process of fighting against the COVID-19, unprecedented large-scale epidemic data have been produced such as case data, spatio-temporal data, public opinion data and so on. The increasingly complex data poses a significant challenge to understand. A two-level interactive visualization system named COVID-19Vis is proposed in this paper, which collects epidemic data from multiple sources and provides an interactive mode of multi-graph linkage. Users can not only easily analyze and interpret the spatial-temporal characteristics and potential rules of the epidemic, but also find the relationship between policy, online public opinion and the development of the epidemic situation. Through a large number of visualization effects and user feedback, the effectiveness and practicability of the COVID-19Vis are further verified.",
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"normalizedAbstract": "The novel coronavirus pneumonia (COVID-19) has raged in many countries around the world. In the process of fighting against the COVID-19, unprecedented large-scale epidemic data have been produced such as case data, spatio-temporal data, public opinion data and so on. The increasingly complex data poses a significant challenge to understand. A two-level interactive visualization system named COVID-19Vis is proposed in this paper, which collects epidemic data from multiple sources and provides an interactive mode of multi-graph linkage. Users can not only easily analyze and interpret the spatial-temporal characteristics and potential rules of the epidemic, but also find the relationship between policy, online public opinion and the development of the epidemic situation. Through a large number of visualization effects and user feedback, the effectiveness and practicability of the COVID-19Vis are further verified.",
"fno": "764700a062",
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"Microorganisms",
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"authors": [
{
"affiliation": "Hu Nan University of Finance and Economics,Changsha,China,410205",
"fullName": "Yun Zhou",
"givenName": "Yun",
"surname": "Zhou",
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"affiliation": "School of Computer Science and Engineering, Central South University,Changsha,China,410083",
"fullName": "Hu He",
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{
"affiliation": "School of Computer Science and Engineering, Central South University,Changsha,China,410083",
"fullName": "Jieqi Rong",
"givenName": "Jieqi",
"surname": "Rong",
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{
"affiliation": "School of Computer Science and Engineering, Central South University,Changsha,China,410083",
"fullName": "Yun Cheng",
"givenName": "Yun",
"surname": "Cheng",
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},
{
"affiliation": "Hu Nan University of Finance and Economics,Changsha,China,410205",
"fullName": "YongChang Li",
"givenName": "YongChang",
"surname": "Li",
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{
"affiliation": "Hu Nan University of Finance and Economics,Changsha,China,410205",
"fullName": "Wei Zhong",
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{
"affiliation": "School of Computer Science and Engineering, Central South University,Changsha,China,410083",
"fullName": "Fu Jiang",
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"abstract": "Upper limb interactions play an important role in virtual, augmented, and mixed reality scenarios. Numerous sensors including optical, magnetic, mechanical, and myography, have been employed to provide more natural interactions in comparison to game controllers. Recently, virtual, augmented, and mixed reality headsets have started embedding hand tracking sensors to simplify the hardware requirements, thus easing operation and setup. The tracking integration is being referred to as inside/out tracking, whereby hand and eye tracking interactions without external sensors or controllers provide interactive freedom. However, the motion capture area of the inside/out sensors is limited to the field of view and technical features of the cameras, and restricted to a few hand tracking gestures. In this paper, we introduce a custom upper limb motion tracking device that extends the user's interaction range while employing a virtual, augmented, or mixed reality headset. Our 3D motion tracking system is a compact wireless wearable prototype that uses inertial measurement units providing orientation and position data employed for upper limb user interaction outside the field of view of the inside/out sensors.",
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"abstract": "A large number of augmented reality (AR) applications have been developed for handheld platforms built around ultra mobile computers. Unfortunately, these platforms, created for research, are not appropriate for demonstrations and user testing because their ad hoc nature affects the user experience. An AR platform designed for the average user will provide more accurate data on software usability. This paper presents such a platform designed with user input to meet their expectations. The result is a two handed device that a randomly selected group of users would want to have in their workplace. This platform is ideal for testing and commercializing industrial augmented reality applications.",
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"abstract": "The traditional navigation system is based on static data to plan the shortest path, which does not refer to real-time traffic information. And with the development of transportation technology, real-time traffic information can be got easily. So a dynamic path planning algorithm based on the real-time traffic information is practicable to provide more accurate solutions for actual navigation systems. But such an algorithm requires more computation cost. On the other hand, multi-core technology improves the computing power of navigation devices largely. In this paper, we proposed an asynchronous parallel dynamic path planning algorithm based on multi-core navigation devices, called APWD* (Asynchronous Parallel Weight D* Lite algorithm), which could balance the quality of result and execution time under complex and changing environment.",
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"title": "Global Path Planning for Autonomous Qualitative Navigation",
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"abstract": "We describe a novel global path planning method for autonomous qualitative navigation in indoor environments. Global path planning operates on top of a qualitative map of the environment that describes variations in sensor behavior between adjacent regions in space. The method takes into consideration the global topology of the environment and applies a set of criteria that can minimize the errors in the navigational accuracy of a robotic wheelchair Our approach uses a modified version of the Dijkstra's shortest path algorithm that takes into consideration the curvature of the trajectory and the off-wall distance of the map points. The algorithm computes in real-time a set of optimal paths for reaching the destination. We have tested our global path planning method in simulation in representative indoor environments with above average complexity. Based on these experiments we have determined empirically a set of values for the parameters of the algorithm that almost always lead to the selection of optimal paths in these environments.Paradigms: Empirical ModelsFocal topics: Robotics, Qualitative Reasoning, Planning",
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"content": "We describe a novel global path planning method for autonomous qualitative navigation in indoor environments. Global path planning operates on top of a qualitative map of the environment that describes variations in sensor behavior between adjacent regions in space. The method takes into consideration the global topology of the environment and applies a set of criteria that can minimize the errors in the navigational accuracy of a robotic wheelchair Our approach uses a modified version of the Dijkstra's shortest path algorithm that takes into consideration the curvature of the trajectory and the off-wall distance of the map points. The algorithm computes in real-time a set of optimal paths for reaching the destination. We have tested our global path planning method in simulation in representative indoor environments with above average complexity. Based on these experiments we have determined empirically a set of values for the parameters of the algorithm that almost always lead to the selection of optimal paths in these environments.Paradigms: Empirical ModelsFocal topics: Robotics, Qualitative Reasoning, Planning",
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