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"title": "Multiple-scale Simulation Method for Liquid with Trapped Air under Particle-based Framework",
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"abstract": "Trapped air in liquid is an important factor which affect the realism of fluid simulation. However, due to the complex physical properties, simulating the interaction and transformation between air and Liquid is extremely challenging and time-consuming. In this paper, we propose a multi-scale simulation method under particle-based framework to achieve the realistic and efficient simulation of air-liquid fluid. A unified generation rule is proposed according to the kinetic energy and the velocity difference between fluid particles. Two velocity-based dynamic models are then established for different size of air materials respectively. The Brownian motion of small scale air materials is achieved by Schilk random function. The interaction and air transfer between large scale air materials is achieved by inverse diffusion equation and a new high-order kernel function. Experimental results show that the proposed method can improve the fidelity and richness of the fluid simulation. The post-processing scheme makes it able to be integrated with existing particle method easily.",
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"content": "Trapped air in liquid is an important factor which affect the realism of fluid simulation. However, due to the complex physical properties, simulating the interaction and transformation between air and Liquid is extremely challenging and time-consuming. In this paper, we propose a multi-scale simulation method under particle-based framework to achieve the realistic and efficient simulation of air-liquid fluid. A unified generation rule is proposed according to the kinetic energy and the velocity difference between fluid particles. Two velocity-based dynamic models are then established for different size of air materials respectively. The Brownian motion of small scale air materials is achieved by Schilk random function. The interaction and air transfer between large scale air materials is achieved by inverse diffusion equation and a new high-order kernel function. Experimental results show that the proposed method can improve the fidelity and richness of the fluid simulation. The post-processing scheme makes it able to be integrated with existing particle method easily.",
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"abstract": "Physically based deformable models have been a hot topic in the computer graphics and visualization community. However, most of the implemented models work only for isotropic materials, leaving the more general anisotropic materials less studied. We look into the challenging issues in dynamics simulation and real time visualization for anisotropic materials, and present our theoretic and practical work along the way to provide an ultimate solution to deformation with such materials. First, our models are based on continuum mechanics and approximated by the Finite Element Method, and different approaches such as co rotated, invertible, and total Lagrangian explicit dynamics. Secondly, for controls of the deformation, we have focused on materials that have their own internal structures (fibers) that determine the dynamics behaviors. We propose a fibers incorporated deformable model that can approximate the anisotropic elastic material properties. The orientation information is combined into the existing deformable models by element transformations along the given directions, which provide a control of the desired deformation. Thirdly, constraints for the strain density in linear elastic models are analyzed, and a positive-definite elasticity tensor is derived for an anisotropic material. Fourthly, an orthotropic deformation controlling frame-field is conceptualized and the frame construction tool is developed for the user to define the desired material properties. A quaternion Laplacian smoothing algorithm is designed for propagating the rotation minimization frames into the entire object. And finally, the co rotational linear FEM model is coupled with the orthotropic frame-field to realize a dynamics system, which can deal with large anisotropic deformations.",
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"content": "Physically based deformable models have been a hot topic in the computer graphics and visualization community. However, most of the implemented models work only for isotropic materials, leaving the more general anisotropic materials less studied. We look into the challenging issues in dynamics simulation and real time visualization for anisotropic materials, and present our theoretic and practical work along the way to provide an ultimate solution to deformation with such materials. First, our models are based on continuum mechanics and approximated by the Finite Element Method, and different approaches such as co rotated, invertible, and total Lagrangian explicit dynamics. Secondly, for controls of the deformation, we have focused on materials that have their own internal structures (fibers) that determine the dynamics behaviors. We propose a fibers incorporated deformable model that can approximate the anisotropic elastic material properties. The orientation information is combined into the existing deformable models by element transformations along the given directions, which provide a control of the desired deformation. Thirdly, constraints for the strain density in linear elastic models are analyzed, and a positive-definite elasticity tensor is derived for an anisotropic material. Fourthly, an orthotropic deformation controlling frame-field is conceptualized and the frame construction tool is developed for the user to define the desired material properties. A quaternion Laplacian smoothing algorithm is designed for propagating the rotation minimization frames into the entire object. And finally, the co rotational linear FEM model is coupled with the orthotropic frame-field to realize a dynamics system, which can deal with large anisotropic deformations.",
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"title": "Adaptive Anisotropic Diffusion for Image Denoising Based on Structure Tensor",
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"abstract": "Anisotropic diffusions based on gradient such as the Perona-Malik model indicate good performance in preserving the edges for image denoising. However, they often suffer so-called staircase effects and the loss of fine details. To overcome these drawbacks, a novel anisotropic diffusion model is proposed, whose diffusion coefficients are defined by the functions of both the determinant and the trace of the structure tensor of the image. Since the determinant and the trace of the structure tensor can well distinguish the smooth regions from the edges and corners, our proposed model can diffuse isotropic ally in the smooth regions, diffuses anisotropicly along the edges and confines the diffusion process in the corners. Some qualitative and quantitative experimental results demonstrate better performance in comparison with the cases of other anisotropic diffusion models.",
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"content": "Anisotropic diffusions based on gradient such as the Perona-Malik model indicate good performance in preserving the edges for image denoising. However, they often suffer so-called staircase effects and the loss of fine details. To overcome these drawbacks, a novel anisotropic diffusion model is proposed, whose diffusion coefficients are defined by the functions of both the determinant and the trace of the structure tensor of the image. Since the determinant and the trace of the structure tensor can well distinguish the smooth regions from the edges and corners, our proposed model can diffuse isotropic ally in the smooth regions, diffuses anisotropicly along the edges and confines the diffusion process in the corners. Some qualitative and quantitative experimental results demonstrate better performance in comparison with the cases of other anisotropic diffusion models.",
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"Tensile Stress",
"PSNR",
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"Anisotropic Magnetoresistance",
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"title": "2013 Third International Conference on Intelligent System Design and Engineering Applications (ISDEA 2013)",
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"doi": "10.1109/ISDEA.2012.63",
"title": "Aerostatic Wind Effects on the Sutong Bridge",
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"abstract": "The Sutong Bridge over the Yangtze River in China is a cable-stayed bridge spanning 1088 m. For such super long-span cable-supported bridges, the response induced by static wind is a key factor for structural wind-resistance design. The procedure for static wind induced response analyzing of large-span cable-supported bridge is presented and programmed in this work. Comprehensive calculation and analysis of static wind effects on Sutong Bridge are conducted. The influence of pile foundation, cables segmentation and participation in modes, different initial and added attack angle, different wind profile and flows on deck displacement, on pylon displacement, on different modes frequencies, and on critical wind velocities are investigated. The results show that the static instability wind velocity is high enough to meet the requirement. Among the whole wind loads of structure, the contribution of cables exceeds 40%, and the static wind velocity of instability will be overestimated by 20% without consideration of the added attack angle. If the foundation effect is not taken into account, the lateral bending will be severely underestimated. The characteristics of analytical fundamental frequencies of practical structure are similar to those of full bridge model in wind tunnel test.",
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{
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"content": "The Sutong Bridge over the Yangtze River in China is a cable-stayed bridge spanning 1088 m. For such super long-span cable-supported bridges, the response induced by static wind is a key factor for structural wind-resistance design. The procedure for static wind induced response analyzing of large-span cable-supported bridge is presented and programmed in this work. Comprehensive calculation and analysis of static wind effects on Sutong Bridge are conducted. The influence of pile foundation, cables segmentation and participation in modes, different initial and added attack angle, different wind profile and flows on deck displacement, on pylon displacement, on different modes frequencies, and on critical wind velocities are investigated. The results show that the static instability wind velocity is high enough to meet the requirement. Among the whole wind loads of structure, the contribution of cables exceeds 40%, and the static wind velocity of instability will be overestimated by 20% without consideration of the added attack angle. If the foundation effect is not taken into account, the lateral bending will be severely underestimated. The characteristics of analytical fundamental frequencies of practical structure are similar to those of full bridge model in wind tunnel test.",
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"Bridges Structures",
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"Wind Tunnels",
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"affiliation": "School of Civil Engineering, Dalian University of Technology, Dalian, China",
"fullName": "Fuyou Xu",
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"affiliation": "Department of Bridge Engineering, Tongji University, Shanghai, China",
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"affiliation": "School of Civil Engineering, Dalian University of Technology, Dalian, China",
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"proceeding": {
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"title": "2016 International Conference on Informatics, Electronics and Vision (ICIEV)",
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"title": "Design and implementation of opto-isolator based low cost digital anemometer with wind direction monitoring system",
"normalizedTitle": "Design and implementation of opto-isolator based low cost digital anemometer with wind direction monitoring system",
"abstract": "Ascertainment of wind speed and direction is significant facet for weather forecasting and air navigation in army and other aspects of science. In this paper, a microcontroller based portable wind speed measurement and wind direction monitoring system has been designed as well as developed. An opto-isolator is used to convert the mechanical signal into electrical pulses into microcontroller in cup anemometer. Microcontroller determines the duration of each input pulse of opto-isolator and produces resultant pulses to display the wind velocity in particular unit according to program installed into the microcontroller. Moreover, a variable resistor is equipped circularly just beneath of the wind tracks detector which is simply lightweight metal shit is arrow in sign. Microcontroller also determines the value of voltage drops inside the variable resistor and sense exact direction by taking one horizon as base in precision of single degree. In addition LCD display board is used to visualize the real time wind speed and direction actively.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Ascertainment of wind speed and direction is significant facet for weather forecasting and air navigation in army and other aspects of science. In this paper, a microcontroller based portable wind speed measurement and wind direction monitoring system has been designed as well as developed. An opto-isolator is used to convert the mechanical signal into electrical pulses into microcontroller in cup anemometer. Microcontroller determines the duration of each input pulse of opto-isolator and produces resultant pulses to display the wind velocity in particular unit according to program installed into the microcontroller. Moreover, a variable resistor is equipped circularly just beneath of the wind tracks detector which is simply lightweight metal shit is arrow in sign. Microcontroller also determines the value of voltage drops inside the variable resistor and sense exact direction by taking one horizon as base in precision of single degree. In addition LCD display board is used to visualize the real time wind speed and direction actively.",
"__typename": "ArticleAbstractType"
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],
"normalizedAbstract": "Ascertainment of wind speed and direction is significant facet for weather forecasting and air navigation in army and other aspects of science. In this paper, a microcontroller based portable wind speed measurement and wind direction monitoring system has been designed as well as developed. An opto-isolator is used to convert the mechanical signal into electrical pulses into microcontroller in cup anemometer. Microcontroller determines the duration of each input pulse of opto-isolator and produces resultant pulses to display the wind velocity in particular unit according to program installed into the microcontroller. Moreover, a variable resistor is equipped circularly just beneath of the wind tracks detector which is simply lightweight metal shit is arrow in sign. Microcontroller also determines the value of voltage drops inside the variable resistor and sense exact direction by taking one horizon as base in precision of single degree. In addition LCD display board is used to visualize the real time wind speed and direction actively.",
"fno": "07759982",
"keywords": [
"Wind Speed",
"Microcontrollers",
"Blades",
"Fluid Flow Measurement",
"Liquid Crystal Displays",
"Monitoring",
"Potentiometer",
"Anemometer",
"Opto Isolator",
"Microcontroller",
"LCD"
],
"authors": [
{
"affiliation": "University of Information Technology and Sciences (UITS), Dhaka-1212, Bangladesh",
"fullName": "Md Ruhul Amin",
"givenName": "Md Ruhul",
"surname": "Amin",
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{
"affiliation": "University of Information Technology and Sciences (UITS), Dhaka-1212, Bangladesh",
"fullName": "Mahmuda Khatun Mishu",
"givenName": "Mahmuda Khatun",
"surname": "Mishu",
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{
"affiliation": "University of Information Technology and Sciences (UITS), Dhaka-1212, Bangladesh",
"fullName": "Abdullah Al Faysal",
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{
"affiliation": "University of Information Technology and Sciences (UITS), Dhaka-1212, Bangladesh",
"fullName": "Md Rashed Nizam",
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{
"proceeding": {
"id": "12OmNviZlH5",
"title": "2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA)",
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"article": {
"id": "12OmNx0A7Ml",
"doi": "10.1109/ISDEA.2014.148",
"title": "Numerical Investigation on the Support Interference of Vane Support System in High Speed Wind Tunnels",
"normalizedTitle": "Numerical Investigation on the Support Interference of Vane Support System in High Speed Wind Tunnels",
"abstract": "The vane support system (VSS) causes less distortion to the rear fuselage. It is an ideal support mechanism for large aircraft wind tunnel tests. Investigating on its support interference will contribute much to the conduction and development of VSS tests. This paper presents a numerical investigation on the support interference of VSS in high speed wind tunnel using Ty154 model. CFD results are compared with experiment results to make the numerical method reliable. Then Ty154 model with and without vanes are simulated. The magnitude of interference achieved is quite small. Its interference characteristics vary with Mach numbers and incidences. The vanes would also do some interference to the flow field.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The vane support system (VSS) causes less distortion to the rear fuselage. It is an ideal support mechanism for large aircraft wind tunnel tests. Investigating on its support interference will contribute much to the conduction and development of VSS tests. This paper presents a numerical investigation on the support interference of VSS in high speed wind tunnel using Ty154 model. CFD results are compared with experiment results to make the numerical method reliable. Then Ty154 model with and without vanes are simulated. The magnitude of interference achieved is quite small. Its interference characteristics vary with Mach numbers and incidences. The vanes would also do some interference to the flow field.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "The vane support system (VSS) causes less distortion to the rear fuselage. It is an ideal support mechanism for large aircraft wind tunnel tests. Investigating on its support interference will contribute much to the conduction and development of VSS tests. This paper presents a numerical investigation on the support interference of VSS in high speed wind tunnel using Ty154 model. CFD results are compared with experiment results to make the numerical method reliable. Then Ty154 model with and without vanes are simulated. The magnitude of interference achieved is quite small. Its interference characteristics vary with Mach numbers and incidences. The vanes would also do some interference to the flow field.",
"fno": "4261a641",
"keywords": [
"Interference",
"Blades",
"Mathematical Model",
"Computational Fluid Dynamics",
"Equations",
"Aerodynamics",
"Numerical Models",
"Numerical Simulation",
"Support Interference",
"Wind Tunnel",
"Vane Support System"
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"authors": [
{
"affiliation": null,
"fullName": "Qiang Li",
"givenName": "Qiang",
"surname": "Li",
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{
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"abstract": "Empirical formula and numerical study were used to predict the aerodynamic performance of a low speed circulating wind tunnel. The positions where the flow loss concentrated were the corners of the tunnel. The optimization design was carried out by using corner vanes. The results of empirical formula and numerical study of the optimized wind tunnel were agreed, which showed that the aerodynamic loss was obviously reduced by setting corner vanes.",
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"title": "Chronos: A Tool for Interactive Scheduling and Visualisation of Task Hierarchies",
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"abstract": "Visualisation and structuring of tasks in a schedule, from relatively simple activities such as meeting scheduling to more complex ones such as project planning, has been traditionally supported by timeline representations similar to Gantt charts. Despite their popularity, Gantt charts suffer from a number of shortcomings, including poor representation of detail and inefficient use of screen real-estate,particularly when a large number of parallel tasks, each of which requiring its own representation space, need to be displayed. We have devised an alternative visualisation,called temporal mosaic, which addresses some of these shortcomings while utilising space more efficiently. We have recently shown that as a static visualisation temporal mosaics outperform Gantt charts in terms of their ability to convey time-based scheduling information to users engaged in various temporal inference tasks. This paper extends that research by presenting interactive techniques which support creation, and dynamic visualisation of task hierarchies and relationships. These techniques are illustrated through a system for direct manipulation of schedules in both Gantt chart and temporal mosaic formats.",
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"title": "A Complete Distance Field Representation",
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"abstract": "Distance fields are an important volume representation. A high quality distance field facilitates accurate surface characterization and gradient estimation. However, due to Nyquist's Law, no existing volumetric methods based on the linear sampling theory can fully capture surface details, such as corners and edges, in 3D space. We propose a novel complete distance field representation (CDFR) that does not rely on Nyquist's sampling theory. To accomplish this, we construct a volume where each voxel has a complete description of all portions of surface that affect the local distance field. For any desired distance, we are able to extract a surface contour in true Euclidean distance, at any level of accuracy, from the same CDFR representation. Such point-based iso-distance contours have faithful per-point gradients and can be interactively visualized using splatting, providing per-point shaded image quality. We also demonstrate applying CDFR to a cutting edge design for manufacturing application involving high-complexity parts at unprecedented accuracy using only commonly available computational resources.",
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"fullName": "Roger Crawfis",
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"content": "The traditional solutions to the stock market security are not sufficient in identifying attackers and further attack plans from the analysis of existing events.Therefore, it is difficult for analysts to prevent future unexpected events or frauds by only monitoring the realtime trading information. The event-driven fraud detection in financial market could not help analysts to find attack plans and the further intention of attackers. This paper proposed a new framework of visual analytics for stock market security. The proposed solution consists of two stages: 1) Visual Surveillance of Market Performance, and 2) Behavior-Driven Visual Analysis of Trading Networks.In the first stage, we use a 3D treemaps to monitor the real-time stock market performance and to identify a particular stock that produced an unusual trading pattern. We then move to the next stage: social network visualization to conduct behavior-driven visual analysis of suspected pattern. Through the visual analysis of social (or trading)network, analysts may finally identify the attackers (the sources of the fraud), and further attack plans.",
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"abstract": "Modeling free-form shapes in a 3D space is one of the difficult problems in computer graphics. In a parametric patch, intuitive control of free-form shapes is not easy. Modeling methods based on strict physical laws need considerable computation time to deform objects, which are not suitable for interactive applications. In this paper we focus on a cellular automaton and try to apply it to interactive free-form modeling within a 3D voxel space. Each voxel is allocated a finite state automaton which repeats state transitions according to the conditions of its neighbor voxels. Virtual clay objects defined in such an active voxel space are easily deformed under the constraints of physical conservation laws.",
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"fno": "00650242",
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"authors": [
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"affiliation": "Hokkaido University",
"fullName": "Hideki Arata",
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"affiliation": "Hokkaido University",
"fullName": "Yoshiaki Takai",
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"affiliation": "Hokkaido University",
"fullName": "Nami K. Takai",
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"affiliation": "Hokkaido University",
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"abstract": "OpenGL is a commonly used modeling tool in the virtual scene modeling. However, OpenGL graphics library does not provide advanced modeling commands, in this case, it is difficult to create complicated scene models and the models which it created are less realistic. The professional three-dimensional modeling software has strong modeling capabilities, modeling vivid, but it can not meet the interoperability requirements. Through research proposed to use the 3dsMAX to create complex three-dimensional models and export the models created in 3ds file format, then import the models into OpenGL program for interactive controlling and rendering, and accomplish the creation of the virtual scene together. In Visual C++6.0 environment, this method has been used to create a virtual classroom and implemented roaming. It achieved very good results.",
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"abstract": "The Oceanographic Multipurpose Software Environment (OMUSE, [1]) is an open source framework developed for oceanographic and other earth system modelling applications. OMUSE provides a homogeneous environment to interface with numerical simulation codes. It was developed at the IMAU (Utrecht) using coupling technology developed for astrophysical applications in the AMUSE project at Leiden Observatory[2,3]. OMUSE simplifies the use and deployment of numerical simulations codes. Furthermore, the design of the OMUSE interfaces (figure 1) allow codes that represent different physics or span different ranges of physical scales to be easily combined in novel numerical experiments. The use cases for OMUSE range from running simple numerical experiments with single codes and the addition of data analysis tools in model runs, to setting up fairly complicated and strongly coupled solvers for problems that are intrinsically multi-scale and/or require different physics. Here, we will present the design of OMUSE as well as give examples of the types of the couplings that can be implemented using OMUSE. The example provided by AMUSE and OMUSE suggests that application of the same interfacing philosophy to a more extensive set of disciplines is possible. In order to facilitate this a better separation of the core framework and domain specific code is necessary. We will present ongoing work to support meteorological and hydrological applications and the use of the framework as the computational core in the eWatercycle project [4]. For this, adaptations are made to improve the interoperability with existing interface efforts (such as the BMI) and we discuss developments regarding the encapsulation of OMUSE/AMUSE and its component models in containers. This will facilitate the installation for first time users, removing a barrier in this respect. In addition to this we anticipate this to also offer more flexible deployment options for the framework.",
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"abstract": "Collision detection is of paramount importance for many applications in computer graphics and visualization. In this research, we present an efficient algorithm for collision detection using a dual bounding hierarchy which consists of an discrete orientation polytopes (k-DOPs) tree enhanced with bounding sphere. The algorithm combines the compactness of the k-DOP and the efficient overlap test for spheres. The more efficient sphere test is applied firstly to eliminate distant objects. The remaining objects are in close proximity are tested using separation axis, where some separation axis are more effective and should be chosen first. We apply the efficient approach to the virtual acupuncture medical treatment systems, and the experimental results show that the new algorithm effectively reduces the query time and enhances the reality character with respect to the existing collection detection algorithms.",
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"title": "2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)",
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"title": "Highly Efficient and GPU-Friendly Implementation of BFS on Single-node System",
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"abstract": "With the development of computer technology, the data generated in our daily life is growing rapidly. Data-intensive algorithms take more and more important part in high performance computing. The Breadth-First Search (BFS) is a typical data-intensive algorithm and characterized with intensive irregular memory access, low computation intensity and strong data dependency. Although Graphics Processing Unit (GPU) offers massive parallelism, BFS is not GPU-friendly due to above characteristics. To utilize the power of GPU for BFS, efficient scheduling of massive threads and better utilization of GPU memory hierarchy are required. In this paper, we focus on highly efficient implementation of BFS on NVIDIA GPU platform. We propose three optimization techniques, including fine-grained parallelism, GPU-oriented CSR structure and vertex quick-search to overcome performance bottlenecks in GPU. Fine-grained parallelism can improve the workload balance for parallel implementation in top-down stage. GPU-oriented CSR structure employs a GPU-friendly data layout, which can improve the efficiency of memory access. Vertex quick-search is proposed to reduce redundant graph computations on GPU. Finally, we conduct extensive experiments on GPU-based platform to verify the effectiveness of these techniques. We achieve 237.94 GTEPS for the Kronecker graph with 2<sup>26</sup> vertices and 2<sup>30</sup> edges. In terms of energy efficiency, our implementation ranks 1st place on the November 2019 Green Graph500 list.",
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"content": "With the development of computer technology, the data generated in our daily life is growing rapidly. Data-intensive algorithms take more and more important part in high performance computing. The Breadth-First Search (BFS) is a typical data-intensive algorithm and characterized with intensive irregular memory access, low computation intensity and strong data dependency. Although Graphics Processing Unit (GPU) offers massive parallelism, BFS is not GPU-friendly due to above characteristics. To utilize the power of GPU for BFS, efficient scheduling of massive threads and better utilization of GPU memory hierarchy are required. In this paper, we focus on highly efficient implementation of BFS on NVIDIA GPU platform. We propose three optimization techniques, including fine-grained parallelism, GPU-oriented CSR structure and vertex quick-search to overcome performance bottlenecks in GPU. Fine-grained parallelism can improve the workload balance for parallel implementation in top-down stage. GPU-oriented CSR structure employs a GPU-friendly data layout, which can improve the efficiency of memory access. Vertex quick-search is proposed to reduce redundant graph computations on GPU. Finally, we conduct extensive experiments on GPU-based platform to verify the effectiveness of these techniques. We achieve 237.94 GTEPS for the Kronecker graph with 2<sup>26</sup> vertices and 2<sup>30</sup> edges. In terms of energy efficiency, our implementation ranks 1st place on the November 2019 Green Graph500 list.",
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"normalizedAbstract": "With the development of computer technology, the data generated in our daily life is growing rapidly. Data-intensive algorithms take more and more important part in high performance computing. The Breadth-First Search (BFS) is a typical data-intensive algorithm and characterized with intensive irregular memory access, low computation intensity and strong data dependency. Although Graphics Processing Unit (GPU) offers massive parallelism, BFS is not GPU-friendly due to above characteristics. To utilize the power of GPU for BFS, efficient scheduling of massive threads and better utilization of GPU memory hierarchy are required. In this paper, we focus on highly efficient implementation of BFS on NVIDIA GPU platform. We propose three optimization techniques, including fine-grained parallelism, GPU-oriented CSR structure and vertex quick-search to overcome performance bottlenecks in GPU. Fine-grained parallelism can improve the workload balance for parallel implementation in top-down stage. GPU-oriented CSR structure employs a GPU-friendly data layout, which can improve the efficiency of memory access. Vertex quick-search is proposed to reduce redundant graph computations on GPU. Finally, we conduct extensive experiments on GPU-based platform to verify the effectiveness of these techniques. We achieve 237.94 GTEPS for the Kronecker graph with 226 vertices and 230 edges. In terms of energy efficiency, our implementation ranks 1st place on the November 2019 Green Graph500 list.",
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"affiliation": "State Key Laboratory of Computer Architecture (Institute of Computing Technology, Chinese Academy of Sciences),Beijing,100190",
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"affiliation": "State Key Laboratory of Computer Architecture (Institute of Computing Technology, Chinese Academy of Sciences),Beijing,100190",
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"affiliation": "State Key Laboratory of Computer Architecture (Institute of Computing Technology, Chinese Academy of Sciences),Beijing,100190",
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"title": "Exploiting Wavelet-Domain Dependencies in Compressed Sensing",
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"abstract": "This paper presents a method for improving wavelet-based Compressed Sensing (CS) reconstruction algorithms by exploiting the dependencies among wavelet coefficients. During CS recovery, a simple measure of significance for each wavelet coefficient is calculated using a weighted sum of the (estimated) magnitudes of the wavelet coefficient, its highly correlated neighbors, and parent. This simple measure is incorporated into three CS recovery algorithms, Reweighted L1 minimization algorithms (RL1), Iteratively Reweighted Least Squares (IRLS), and Iterative Hard Thresholding (IHT). Experimental results using one-dimensional signals and images illustrate that the proposed method (i) improves reconstruction quality for a given number of measurements, (ii) requires fewer measurements for a desired reconstruction quality, and (iii) significantly reduces reconstruction time.",
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{
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"content": "This paper presents a method for improving wavelet-based Compressed Sensing (CS) reconstruction algorithms by exploiting the dependencies among wavelet coefficients. During CS recovery, a simple measure of significance for each wavelet coefficient is calculated using a weighted sum of the (estimated) magnitudes of the wavelet coefficient, its highly correlated neighbors, and parent. This simple measure is incorporated into three CS recovery algorithms, Reweighted L1 minimization algorithms (RL1), Iteratively Reweighted Least Squares (IRLS), and Iterative Hard Thresholding (IHT). Experimental results using one-dimensional signals and images illustrate that the proposed method (i) improves reconstruction quality for a given number of measurements, (ii) requires fewer measurements for a desired reconstruction quality, and (iii) significantly reduces reconstruction time.",
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"proceeding": {
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"title": "2018 IEEE 12th International Conference on Semantic Computing (ICSC)",
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"doi": "10.1109/ICSC.2018.00031",
"title": "An Improved Authenticated Compressive Sensing Imaging",
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"abstract": "Compressive Sensing (CS) is a hot topic in mathematics, computer science and electronics area in recent years. Imaging system takes fully advantage of this novel theory, i.e., Compressive Sensing based Imaging (CSI) cameras couldconstruct N pixel image with only M measurements with M <;<; N and the sampling bandwidth of sensors would be no more limited. As we known, image should be authenticated, in order to be transmitted through insecure channel. However, CSI method senses and compresses directly scene information into measurement, which cannot be protected by conventional image authentication mechanisms. In 2017, Wu and Ruland have proposed an authenticated CSI system, which can solve this issue and support content-based (semantic) authentication. This paper follows Wu's work, and bases on the shortcomings, such as training method, tag extraction and verification etc., to improve the authenticated CSI method. Afterwards, the improved system illustrates a good performance of security and robustness.",
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"content": "Compressive Sensing (CS) is a hot topic in mathematics, computer science and electronics area in recent years. Imaging system takes fully advantage of this novel theory, i.e., Compressive Sensing based Imaging (CSI) cameras couldconstruct N pixel image with only M measurements with M <;<; N and the sampling bandwidth of sensors would be no more limited. As we known, image should be authenticated, in order to be transmitted through insecure channel. However, CSI method senses and compresses directly scene information into measurement, which cannot be protected by conventional image authentication mechanisms. In 2017, Wu and Ruland have proposed an authenticated CSI system, which can solve this issue and support content-based (semantic) authentication. This paper follows Wu's work, and bases on the shortcomings, such as training method, tag extraction and verification etc., to improve the authenticated CSI method. Afterwards, the improved system illustrates a good performance of security and robustness.",
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"abstract": "Compressed sensing (CS) aims to reconstruct signals and images from significantly fewer measurements than were traditionally thought necessary. In this paper, we propose a review of CS in biomedical imaging applications, along with a review of recent applications in the biomedical imaging field. The aim is to provide an analysis of the current trends in CS, focusing on the advantages and disadvantages in compressing biomedical imaging. One of the critical issue that used to hinder the application of compressed sensing in a biomedical imaging context is the computational cost of the underlying image reconstruction process. Furthermore, CS is compared to state-of-the-art compression algorithms in computed tomography (CT) and Magnetic Resonance Imaging (MRI) as examples of typical biomedical imaging. The main technical challenges associated with CS are discussed along with the predicted future trends.",
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"abstract": "We present a generalized method for free-form deformations that combines th e traditional free-form deformation model with techniques of scattered data interpolation based on Delaunay and Dirichlet/Voronoi diagrams. This technique offers many advantages over trad itional FFDs, including simple control of local deformations. It also keeps all the capabilities of FFD extensions, such as extended free-form deformations and direct FFDs. The deformation model has much potential for 3D modeling and animation. We choose to illustrate this with a non-trivial hum an simulation task: hand animation. We implement a multi-layer deformation model where DFFDs are use d to simulate the intermediate layer between the skeleton and the skin.",
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"abstract": "In this work, we record a dancer's rhythmic movement with background music. The captured motion sequences are then segmented into dozens of motion clips, to construct a motion database consisting of sets of labeled motion clips. Many of these motion clips contain short and rapid transition from one main dancing motion to another, which causes unnatural, awkward movements when they are connected in different orders than the original sequence. In this paper, we describe our approach for automatically detecting the transition parts in the segmented motion clips. For each motion clip, we model the motion data using the Gaussian Mixture Model (GMM) and use the resulting distribution cluster map to improve the efficiency and convergence of the clustering, Principal Component Analysis (PCA) has been applied to the motion data prior to performing GMM. Experiments and comparative analysis show that this PCA-based GMM method effectively performs transition detection on the segmented motion clips.",
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"title": "Generating Animation from Natural Language Texts and Framework of Motion Database",
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"abstract": "This paper presents an animation system that generates an animation from natural language texts such as movie scripts or stories. We also propose the framework of a motion database that stores many motion clips for various characters. When an input text is given, the system searches for an appropriate motion clip from the database for each verb in the input text. Temporal constraints between verbs are also extracted from the input text. The searched motion clips are scheduled based on these temporal constraints. In addition, when necessary, some automatic motions such as locomotion, taking an instrument, changing posture, and cooperative motions are searched from the database. An animation is then generated using an external motion synthesis system. Using our system, users can make use of existing motion clips. Moreover, because it takes natural language text as input, even novice users can use our system.",
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"title": "Dynamic Motion Matching: Context-Aware Character Animation with Subspaces Ensembling",
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"abstract": "Game developers have widely adopted motion matching, which retrieves the most appropriate short motion clip from a database in real-time, as a core animation system. However, existing motion matching systems have limited scalability to support the wide range of scene contexts because their complexity increases with the number of different contexts due to the necessity to change the whole feature vector when the context changes. This paper proposes an improved motion matching algorithm that enables geometry and objects aware motion synthesis by dynamically selecting features applied in data retrieval. Our method, dynamic motion matching (DyMM), combines an offline subspace decomposition of raw motion clips with a subspace ensemble matching to compare relevant sub-features selected according to the needs of a character controller at runtime. The offline subspace decomposition method extracts relevant sub-features from motion capture clips at the database construction phase to create a set of retrieval spaces tailored to a specific scene context. The subspace ensemble matching method applies the nearest neighbor search to score motion clips for each sub-feature, and finally normalizes each score to determine the most appropriate motion clip. We verified the effectiveness of our method by applying it to industry-level motion data captured by professional game artists for multiple configurations and character controllers. The results of this study show that, by finding motion clips that comply well with the scene context, one can leverage large motion capture datasets to create practical systems that generate believable and controllable animations for games.",
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"abstract": "This study uses Natural Language Processing and Machine Learning techniques to understand the effect of the COVID-19 pandemic on mental wellbeing. We considered different user groups and locations in the USA to analyze the influence contrasting social factors, such as political stance, had on wellbeing. We measured the mental wellbeing of the social media users through understanding negative sentiment and mental health topic discussion in Twitter posts added by users from the top 10 Democrat and top 10 Republican cities in the USA. To measure the topic discussion, we used a mental health keyword list and developed machine learning models to classify the topic of a tweet. The primary findings include the similarity of the effect the pandemic had on Republican and Democrat cities when considering a timeline of tweets, whilst an increase in ‘Anxiety’ was discussed across different user groups and cities. Enforcement strategies had an influence on mental wellbeing with results differing for Republican and Democrat cities. An accurate text classifier was developed and used to categorize tweets into different mental health topics. The results showed how medical and unemployed users discussed topics like ‘anxiety’ and ‘depression’ more than a control set of users. The best machine learning model was developed using a Decision Tree algorithm which achieved an accuracy of 87% on unseen data.",
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"abstract": "This research full paper presents screening rates for mental health issues and life-stress events in engineering-focused community college students during the initial phases of the COVID-19 pandemic in the US. Specifically, it attempts to answer the following research questions: 1) What is the overall rate of various mental health conditions among engineering-focused community college students, 2) What effects has the pandemic had on baseline stress levels engineering-focused community college, and 3) What effects has the pandemic had on quality of life, such as sleep habits and financial security of engineering-focused community college students?Data for this paper was collected via survey from May–July 2020 and includes responses from 84 students at 24 community colleges. The survey itself was a compilation of several widely-used instruments for measuring overall mental health and stress levels in a population. These instruments include the Kessler-6 for psychological distress, the PHQ for anxiety, depression, and eating disorders, the PC-PTSD for PTSD-like symptoms, and the SRRS for inventorying stressful life events.Among the major findings, 32% of respondents reported a major change in financial situation, 27% reported loss of employment, and 13% reported ceasing formal schooling because of the COVID-19 pandemic. Additionally, 32% of respondents reported that the COVID-19 pandemic worsened their housing security situation, 38% reported that COVID-19 has worsened their food security situation, and 36% report that COVID-19 has decreased their ability to access instruction, course materials, or course supplies. Finally, of respondents who completed at least one mental health screening instrument, 70% screened positive for at least one potentially diagnosable condition, while only 9% reported ever receiving a mental health diagnosis.",
"abstracts": [
{
"abstractType": "Regular",
"content": "This research full paper presents screening rates for mental health issues and life-stress events in engineering-focused community college students during the initial phases of the COVID-19 pandemic in the US. Specifically, it attempts to answer the following research questions: 1) What is the overall rate of various mental health conditions among engineering-focused community college students, 2) What effects has the pandemic had on baseline stress levels engineering-focused community college, and 3) What effects has the pandemic had on quality of life, such as sleep habits and financial security of engineering-focused community college students?Data for this paper was collected via survey from May–July 2020 and includes responses from 84 students at 24 community colleges. The survey itself was a compilation of several widely-used instruments for measuring overall mental health and stress levels in a population. These instruments include the Kessler-6 for psychological distress, the PHQ for anxiety, depression, and eating disorders, the PC-PTSD for PTSD-like symptoms, and the SRRS for inventorying stressful life events.Among the major findings, 32% of respondents reported a major change in financial situation, 27% reported loss of employment, and 13% reported ceasing formal schooling because of the COVID-19 pandemic. Additionally, 32% of respondents reported that the COVID-19 pandemic worsened their housing security situation, 38% reported that COVID-19 has worsened their food security situation, and 36% report that COVID-19 has decreased their ability to access instruction, course materials, or course supplies. Finally, of respondents who completed at least one mental health screening instrument, 70% screened positive for at least one potentially diagnosable condition, while only 9% reported ever receiving a mental health diagnosis.",
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"normalizedAbstract": "This research full paper presents screening rates for mental health issues and life-stress events in engineering-focused community college students during the initial phases of the COVID-19 pandemic in the US. Specifically, it attempts to answer the following research questions: 1) What is the overall rate of various mental health conditions among engineering-focused community college students, 2) What effects has the pandemic had on baseline stress levels engineering-focused community college, and 3) What effects has the pandemic had on quality of life, such as sleep habits and financial security of engineering-focused community college students?Data for this paper was collected via survey from May–July 2020 and includes responses from 84 students at 24 community colleges. The survey itself was a compilation of several widely-used instruments for measuring overall mental health and stress levels in a population. These instruments include the Kessler-6 for psychological distress, the PHQ for anxiety, depression, and eating disorders, the PC-PTSD for PTSD-like symptoms, and the SRRS for inventorying stressful life events.Among the major findings, 32% of respondents reported a major change in financial situation, 27% reported loss of employment, and 13% reported ceasing formal schooling because of the COVID-19 pandemic. Additionally, 32% of respondents reported that the COVID-19 pandemic worsened their housing security situation, 38% reported that COVID-19 has worsened their food security situation, and 36% report that COVID-19 has decreased their ability to access instruction, course materials, or course supplies. Finally, of respondents who completed at least one mental health screening instrument, 70% screened positive for at least one potentially diagnosable condition, while only 9% reported ever receiving a mental health diagnosis.",
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"Computer Aided Instruction",
"Diseases",
"Educational Courses",
"Educational Institutions",
"Engineering Education",
"Medical Disorders",
"Patient Diagnosis",
"Psychology",
"24 Community Colleges",
"Baseline Stress Levels Engineering Focused Community College",
"Community College Pre Engineering Students",
"COVID 19 Pandemic",
"Engineering Focused Community College Students",
"Life Stress Events",
"Mental Health Conditions",
"Mental Health Diagnosis",
"Mental Health Issues",
"Mental Health Screening Instrument",
"Stressful Life Events",
"COVID 19",
"Pandemics",
"Instruments",
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"Community College",
"Mental Health",
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"Accessibility",
"Equity",
"Inclusion",
"Wellness"
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{
"affiliation": "California Polytechnic State University,Department of Computer Engineering,San Luis Obispo,CA,USA",
"fullName": "Andrew Danowitz",
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"surname": "Danowitz",
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{
"affiliation": "San Jose State University,College of Engineering Dean’s Office,San Jose,CA,USA",
"fullName": "Kacey Beddoes",
"givenName": "Kacey",
"surname": "Beddoes",
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"title": "How COVID-19 Affects Mental Health of Wuhan College Students and It’s Countermeasures",
"normalizedTitle": "How COVID-19 Affects Mental Health of Wuhan College Students and It’s Countermeasures",
"abstract": "To understand the mental health status of college students in Wuhan under the epidemic of COVID-19, and to explore the influencing factors of psychological stress reaction of college students under the epidemic pressure, so as to provide reference for relevant departments to carry out targeted work. Taking undergraduates in Wuhan University of Science and Technology as samples, the author made up a questionnaire, used SPSS software to carry on correlation analysis and data comparison analysis, and studied the influence of different demographic characteristics and social factors on the mental health of undergraduates. 37.86% of the college students had psychological stress reaction under epidemic situation, the Stress Reaction State was mainly anxiety reaction, and the physical symptom reaction was light, 38.88% of the female students had psychological problem, 28.92% of the male students had psychological problem, In Hubei Province, 54.84% of college students had psychological stress reaction, and they had a good understanding of COVID-19. There was no significant difference in psychological stress state between students with and without infection. The intensity of urban epidemic prevention and control has certain influence on people's psychological stress reaction. After the outbreak of COVID-19 pneumonia, the college students in Wuhan had psychological stress reaction to different degrees. Comprehensive analysis of various factors, we should strengthen the response at the social, college and individual levels, the influence of alleviating epidemic situation in time on the mental health of college students.",
"abstracts": [
{
"abstractType": "Regular",
"content": "To understand the mental health status of college students in Wuhan under the epidemic of COVID-19, and to explore the influencing factors of psychological stress reaction of college students under the epidemic pressure, so as to provide reference for relevant departments to carry out targeted work. Taking undergraduates in Wuhan University of Science and Technology as samples, the author made up a questionnaire, used SPSS software to carry on correlation analysis and data comparison analysis, and studied the influence of different demographic characteristics and social factors on the mental health of undergraduates. 37.86% of the college students had psychological stress reaction under epidemic situation, the Stress Reaction State was mainly anxiety reaction, and the physical symptom reaction was light, 38.88% of the female students had psychological problem, 28.92% of the male students had psychological problem, In Hubei Province, 54.84% of college students had psychological stress reaction, and they had a good understanding of COVID-19. There was no significant difference in psychological stress state between students with and without infection. The intensity of urban epidemic prevention and control has certain influence on people's psychological stress reaction. After the outbreak of COVID-19 pneumonia, the college students in Wuhan had psychological stress reaction to different degrees. Comprehensive analysis of various factors, we should strengthen the response at the social, college and individual levels, the influence of alleviating epidemic situation in time on the mental health of college students.",
"__typename": "ArticleAbstractType"
}
],
"normalizedAbstract": "To understand the mental health status of college students in Wuhan under the epidemic of COVID-19, and to explore the influencing factors of psychological stress reaction of college students under the epidemic pressure, so as to provide reference for relevant departments to carry out targeted work. Taking undergraduates in Wuhan University of Science and Technology as samples, the author made up a questionnaire, used SPSS software to carry on correlation analysis and data comparison analysis, and studied the influence of different demographic characteristics and social factors on the mental health of undergraduates. 37.86% of the college students had psychological stress reaction under epidemic situation, the Stress Reaction State was mainly anxiety reaction, and the physical symptom reaction was light, 38.88% of the female students had psychological problem, 28.92% of the male students had psychological problem, In Hubei Province, 54.84% of college students had psychological stress reaction, and they had a good understanding of COVID-19. There was no significant difference in psychological stress state between students with and without infection. The intensity of urban epidemic prevention and control has certain influence on people's psychological stress reaction. After the outbreak of COVID-19 pneumonia, the college students in Wuhan had psychological stress reaction to different degrees. Comprehensive analysis of various factors, we should strengthen the response at the social, college and individual levels, the influence of alleviating epidemic situation in time on the mental health of college students.",
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"Behavioural Sciences Computing",
"Diseases",
"Educational Institutions",
"Epidemics",
"Gender Issues",
"Psychology",
"Urban Epidemic Prevention",
"Stress Reaction State",
"Data Comparison Analysis",
"SPSS Software",
"Psychological Stress State",
"Male Students",
"Psychological Problem",
"Female Students",
"Epidemic Situation",
"Psychological Stress Reaction",
"Mental Health Status",
"Wuhan College Students",
"COVID 19",
"Epidemics",
"Uncertainty",
"Lung",
"Mental Health",
"Public Healthcare",
"Stress",
"Novel Coronavirus Pneumonia",
"University Students",
"Mental Health",
"COVID 19",
"Countermeasures"
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"authors": [
{
"affiliation": "Wuhan University of Science and Technology,College of Life Science and Health,Wuhan,China",
"fullName": "Xiyu Liu",
"givenName": "Xiyu",
"surname": "Liu",
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{
"affiliation": "Wuhan University of Science and Technology,Collegel of Literature, Law and Economics,Wuhan,China",
"fullName": "Mengjie Li",
"givenName": "Mengjie",
"surname": "Li",
"__typename": "ArticleAuthorType"
},
{
"affiliation": "Wuhan University of Science and Technology,Students’Affairs Office,Wuhan,China",
"fullName": "Yanliang Zhang",
"givenName": "Yanliang",
"surname": "Zhang",
"__typename": "ArticleAuthorType"
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"proceeding": {
"id": "1wRI8oLPD8s",
"title": "2021 International Conference on Information Technology and Contemporary Sports (TCS)",
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"article": {
"id": "1wRIhfqbgNW",
"doi": "10.1109/TCS52929.2021.00121",
"title": "Apply SPSS software to analyze the influence of new teaching method on students' physical and mental health and teaching effect",
"normalizedTitle": "Apply SPSS software to analyze the influence of new teaching method on students' physical and mental health and teaching effect",
"abstract": "Objective: The SPSS software was used to statistically analyze the impact of the new teaching method (dynamic stratified grouping) on the physical and mental health and learning effect of college students. Methods: Freshman ordinary girls were randomly divided into a control group and an experimental group.17-week experiment was conducted to test physical fitness, mental health indicators, and sports skills before and after the experiment. Results: (1) Compared with the control group: the physical fitness level of static stratified groups (except height and weight) was significantly different (P<0.05), and the physical fitness level of dynamic stratified groups (except height) was significant and very significant Difference (P<0.05, P<0.01); static stratified grouped badminton specific skills (except rubbing) were significantly higher than the control group (P<0.05), while dynamic stratified grouped badminton specific skills had significant and very significant differences (P<0.05, P<0.01); the mental health level of static stratification grouping (except psychosis, obsessive-compulsive, horror) was significantly lower than the control group (P<0.05), while the mental health level of dynamic stratification grouping (except psychosis) was significance and very significant are lower than the control group (P<0.05, P<0.01). (2) Compared with static stratified grouping, the physical fitness level of dynamic stratified grouping (except height and weight, 800 meters) has significant difference (P<0.05); badminton special skills (except dribbling) have significant difference (P <0.05); the level of mental health (except mental illness) is significantly better than \"static stratified grouping\" (P<0.05).Conclusion: Dynamic stratified and grouped teaching can better improve the physical and mental health of college students, and enhance the teaching effect, it is a more effective teaching method.",
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"content": "Objective: The SPSS software was used to statistically analyze the impact of the new teaching method (dynamic stratified grouping) on the physical and mental health and learning effect of college students. Methods: Freshman ordinary girls were randomly divided into a control group and an experimental group.17-week experiment was conducted to test physical fitness, mental health indicators, and sports skills before and after the experiment. Results: (1) Compared with the control group: the physical fitness level of static stratified groups (except height and weight) was significantly different (P<0.05), and the physical fitness level of dynamic stratified groups (except height) was significant and very significant Difference (P<0.05, P<0.01); static stratified grouped badminton specific skills (except rubbing) were significantly higher than the control group (P<0.05), while dynamic stratified grouped badminton specific skills had significant and very significant differences (P<0.05, P<0.01); the mental health level of static stratification grouping (except psychosis, obsessive-compulsive, horror) was significantly lower than the control group (P<0.05), while the mental health level of dynamic stratification grouping (except psychosis) was significance and very significant are lower than the control group (P<0.05, P<0.01). (2) Compared with static stratified grouping, the physical fitness level of dynamic stratified grouping (except height and weight, 800 meters) has significant difference (P<0.05); badminton special skills (except dribbling) have significant difference (P <0.05); the level of mental health (except mental illness) is significantly better than \"static stratified grouping\" (P<0.05).Conclusion: Dynamic stratified and grouped teaching can better improve the physical and mental health of college students, and enhance the teaching effect, it is a more effective teaching method.",
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"normalizedAbstract": "Objective: The SPSS software was used to statistically analyze the impact of the new teaching method (dynamic stratified grouping) on the physical and mental health and learning effect of college students. Methods: Freshman ordinary girls were randomly divided into a control group and an experimental group.17-week experiment was conducted to test physical fitness, mental health indicators, and sports skills before and after the experiment. Results: (1) Compared with the control group: the physical fitness level of static stratified groups (except height and weight) was significantly different (P<0.05), and the physical fitness level of dynamic stratified groups (except height) was significant and very significant Difference (P<0.05, P<0.01); static stratified grouped badminton specific skills (except rubbing) were significantly higher than the control group (P<0.05), while dynamic stratified grouped badminton specific skills had significant and very significant differences (P<0.05, P<0.01); the mental health level of static stratification grouping (except psychosis, obsessive-compulsive, horror) was significantly lower than the control group (P<0.05), while the mental health level of dynamic stratification grouping (except psychosis) was significance and very significant are lower than the control group (P<0.05, P<0.01). (2) Compared with static stratified grouping, the physical fitness level of dynamic stratified grouping (except height and weight, 800 meters) has significant difference (P<0.05); badminton special skills (except dribbling) have significant difference (P <0.05); the level of mental health (except mental illness) is significantly better than \"static stratified grouping\" (P<0.05).Conclusion: Dynamic stratified and grouped teaching can better improve the physical and mental health of college students, and enhance the teaching effect, it is a more effective teaching method.",
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"abstract": "Finger workspace is one of the most important features to evaluate the kinematic performances of the multi-finger hands. It is also benefit for grasp planning, mechanical design, and motion control. Although many multi-finger hands have been developed over the last few decades, how to generate and visualize their workspaces is still a challengeable problem. We propose a workspace generation and visualization approach to explain the workspace characteristics of a multi-finger hand (ZSTU hand), which can help to solve the problem of choosing a grasp with the gripper constrains. Compared with previous researches, this approach can model more integrated fingertip workspaces with vivid forms and contours, which is valuable for researchers to accurately and intuitionally understand the fingertip motion ranges and the analysis of the workspace volume. These performances can help researchers to optimize the mechanical structures of the multi-finger hand, and improve the kinematic performances of the multi-finger hand.",
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