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"title": "Stereoscopic viewing facilitates the perception of crowds",
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"abstract": "In this study the perception of crowds was investigated in urban environment. The images of crowds were viewed non-stereoscopically and stereoscopically with HMD (head-mounted display). The task of the participants was to count the number of persons in the crowds. The results clearly indicate that stereoscopic viewing enhances perception of crowds. The counting task was determined to be easiest with stereoscopic viewing, its error rate was significantly smaller and it was significantly preferred to non-stereoscopic viewing. The viewing method did not differ statistically with respect to the completion time.",
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"abstract": "The microprocessor industry is undergoing a dramatic change to shift from the traditional superscalar microprocessor designs to multicores. While this presents some new opportunities, it also presents new challenges to harness the power of the multicore processors. In this paper, we address this issue by investigating the performance and memory usage of the hybrid MPI + OpenMP programming models. The experimental results demonstrate great advantages of using the hybrid programming model over the popular pure MPI model in terms of both performance and memory usage.",
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"abstract": "Effective combination of inter-node and intra-node parallelism is recognized to be a major challenge for future extreme-scale systems. Many researchers have demonstrated the potential benefits of combining both levels of parallelism, including increased communication-computation overlap, improved memory utilization, and effective use of accelerators. However, current \"hybrid programming'' approaches often require significant rewrites of application code and assume a high level of programmer expertise. Dynamic task parallelism has been widely regarded as a programming model that combines the best of performance and programmability for shared-memory programs. For distributed-memory programs, most users rely on efficient implementations of MPI. In this paper, we propose HCMPI (Habanero-C MPI), an integration of the Habanero-C dynamic task-parallel programming model with the widely used MPI message-passing interface. All MPI calls are treated as asynchronous tasks in this model, thereby enabling unified handling of messages and tasking constructs. For programmers unfamiliar with MPI, we introduce distributed data-driven futures (DDDFs), a new data-flow programming model that seamlessly integrates intra-node and inter-node data-flow parallelism without requiring any knowledge of MPI. Our novel runtime design for HCMPI and DDDFs uses a combination of dedicated communication and computation specific worker threads. We evaluate our approach on a set of micro-benchmarks as well as larger applications and demonstrate better scalability compared to the most efficient MPI implementations, while offering a unified programming model to integrate asynchronous task parallelism with distributed-memory parallelism.",
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"content": "In this paper, we present a performance modeling framework based on memory bandwidth contention time and a parameterized communication model to predict the performance of OpenMP, MPI and hybrid applications with weak scaling on three large-scale multicore clusters: IBM POWER4, POWER5+ and Blue Gene/P, and analyze the performance of these MPI, OpenMP and hybrid applications. We use STREAM memory benchmarks to provide initial performance analysis and model validation of MPI and OpenMP applications on these multicore clusters because the measured sustained memory bandwidth can provide insight into the memory bandwidth that a system should sustain on scientific applications with the same amount of workload per core. In addition to using these benchmarks, we also use a weak-scaling hybrid MPI/OpenMP large-scale scientific application: Gyro kinetic Toroidal Code in magnetic fusion to validate our performance model of the hybrid application on these multicore clusters. The validation results for our performance modeling method show less than 7.77% error rate in predicting the performance of hybrid MPI/OpenMP GTC on up to 512 cores on these multicore clusters.",
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"abstract": "This work discuss the parallel performance of a global numerical simulation model, Ocean-Land-Atmosphere Model (OLAM), on a hybrid multicore/GPU cluster environment, under the following programming models: 1) OLAM MPI implementation, on the multicore system, 2) OLAM hybrid MPI/OpenMP, which starts one MPI process on each node of the platform and one OpenMP thread on each core of the node, 3) OLAM hybrid MPI/OpenMP/Cuda implementation, which starts one MPI process on each node of the platform, one OpenMP threads on each core of the node and Cuda kernels on the GPUs. The results shows that the adopted programming model impacts significantly the performance of the application. We show that as we increase the number of cores, the OLAM MPI parallel implementation running one process on each cluster core executes faster than the other implementations.",
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"content": "Recovering the 3D shape of transparent objects using a small number of unconstrained natural images is an ill-posed problem. Complex light paths induced by refraction and reflection have prevented both traditional and deep multiview stereo from solving this challenge. We propose a physically-based network to recover 3D shape of transparent objects using a few images acquired with a mobile phone camera, under a known but arbitrary environment map. Our novel contributions include a normal representation that enables the network to model complex light transport through local computation, a rendering layer that models refractions and reflections, a cost volume specifically designed for normal refinement of transparent shapes and a feature mapping based on predicted normals for 3D point cloud reconstruction. We render a synthetic dataset to encourage the model to learn refractive light transport across different views. Our experiments show successful recovery of high-quality 3D geometry for complex transparent shapes using as few as 5-12 natural images. Code and data will be publicly released.Recovering the 3D shape of transparent objects using a small number of unconstrained natural images is an ill-posed problem. Complex light paths induced by refraction and reflection have prevented both traditional and deep multiview stereo from solving this challenge. We propose a physically-based network to recover 3D shape of transparent objects using a few images acquired with a mobile phone camera, under a known but arbitrary environment map. Our novel contributions include a normal representation that enables the network to model complex light transport through local computation, a rendering layer that models refractions and reflections, a cost volume specifically designed for normal refinement of transparent shapes and a feature mapping based on predicted normals for 3D point cloud reconstruction. We render a synthetic dataset to encourage the model to learn refractive light transport across different views. Our experiments show successful recovery of high-quality 3D geometry for complex transparent shapes using as few as 5-12 natural images. Code and data will be publicly released.",
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"abstract": "In this paper, we propose a relocalization method for keyframe-based SLAM that enables real-time and accurate recovery from tracking failures. To realize an AR-based application in a real world situation, not only accurate camera tracking but also fast and accurate relocalization from tracking failure is required. The previous keyframe-based relocalization methods have some drawbacks with regard to speed and accuracy. The proposed relocalization method selects two algorithms adaptively depending on the relative camera pose between a current frame and a target keyframe. In addition, it estimates a degree of false matches to speed up RANSAC-based model estimation. We present effectiveness of our method by an evaluation using public tracking dataset.",
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"affiliation": "Fujitsu Laboratories Ltd.",
"fullName": "Atsunori Moteki",
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"fullName": "Nobuyasu Yamaguchi",
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"affiliation": "Fujitsu Laboratories Ltd.",
"fullName": "Ayu Karasudani",
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"affiliation": "Fujitsu Laboratories Ltd.",
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"abstract": "Minimally invasive surgery robot of five degrees of freedom has been developed for assisting surgeons to realize high quality and precise operation in radio frequency ablation for patients with liver tumors. The minimally invasive surgery robot drives the ablator tool to track the tumor when the tumor moves in real time and precise orientate to the tumor. Through studying of the minimally invasive ablation surgical operation, we have determined the robot assist surgical operation system. The control system has been designed according to the requirements and the safety of the patients and the surgeons. The experiments results have shown that the determined parameters of proportional-integral-derivative (PID) and the control system meet the requirements of the ablation surgical robot.",
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"affiliation": "Department of Mechatronic Engineering, Beijing Institute of Technology, 5 Nandajie, Zhongguancun, Ha",
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"affiliation": "Department of Mechatronic Engineering, Beijing Institute of Technology, 5 Nandajie, Zhongguancun, Ha",
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"affiliation": "Department of Mechatronic Engineering, Beijing Institute of Technology, 5 Nandajie, Zhongguancun, Ha",
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"affiliation": "Department of Mechatronic Engineering, Beijing Institute of Technology, 5 Nandajie, Zhongguancun, Ha",
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"abstract": "We introduce a novel method to simulate the delineation and splitting procedure in virtual liver surgery. Liver splitting surgery, which plays an important role in treatment of liver cancer, is difficult for surgeons to implement due to the complexity on both visual and hap tic aspects. The splitting of liver paranchyma is the key step of the whole surgery, while the delineation of splitting area is the premise of splitting phase by indicating which part of the liver should be cut. In this paper, to make the simulator perform realistically, an algorithm for geodesics computation in triangle mesh is improved and a new splitting model is proposed. During the delineation phase, we collect the points when virtual electro tome moving around on the liver surface and compute the geodesics of adjacent points in real-time. In the splitting phase, we reconstruct the healthy and lesion liver model respectively in preprocessing stage. The normal and deformation model updates when virtual electro tome touch the wound surface. Results show our techniques can provide a stable and realistic simulation for virtual surgeries. Moreover, it can also be used in other graphics applications.",
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"abstract": "Event-based egocentric dynamic networks are an important class of networks widely seen in many domains. In this paper, we present a visual analytics approach for these networks by combining data-driven network simplifications with a novel visualization design - EgoNetCloud. In particular, an integrated data processing pipeline is proposed to prune, compress and filter the networks into smaller but salient abstractions. To accommodate the simplified network into the visual design, we introduce a constrained graph layout algorithm on the dynamic network. Through a real-life case study as well as conversations with the domain expert, we demonstrate the effectiveness of the EgoNetCloud design and system in completing analysis tasks on event-based dynamic networks. The user study comparing EgoNetCloud with a working system on academic search confirms the effectiveness and convenience of our visual analytics based approach.",
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"abstract": "Survey of relevant research papers are very important in academic research to fully understanding the research trends in a given field of interest. Many researchers use keyword searches to investigate their related research. However, it is often difficult to find the desired research papers only through a keyword search. Here we propose a citation network visualization technique that constructs the genealogy of a research paper. It allows the user to trace the genealogy of the reference papers that form the basis of their research via large citation data sets, while also providing a visualization of how the research paper influences its research field.",
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"content": "Survey of relevant research papers are very important in academic research to fully understanding the research trends in a given field of interest. Many researchers use keyword searches to investigate their related research. However, it is often difficult to find the desired research papers only through a keyword search. Here we propose a citation network visualization technique that constructs the genealogy of a research paper. It allows the user to trace the genealogy of the reference papers that form the basis of their research via large citation data sets, while also providing a visualization of how the research paper influences its research field.",
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"normalizedAbstract": "Survey of relevant research papers are very important in academic research to fully understanding the research trends in a given field of interest. Many researchers use keyword searches to investigate their related research. However, it is often difficult to find the desired research papers only through a keyword search. Here we propose a citation network visualization technique that constructs the genealogy of a research paper. It allows the user to trace the genealogy of the reference papers that form the basis of their research via large citation data sets, while also providing a visualization of how the research paper influences its research field.",
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"affiliation": "Life Media Interdisciplinary Program, Ajou University",
"fullName": "Gyeongcheol Choi",
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"affiliation": "Life Media Interdisciplinary Program, Ajou University",
"fullName": "Taerin Yoon",
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"affiliation": "Department of Digital, Media Ajou University",
"fullName": "Kyungwon Lee",
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"doi": "10.1109/CRV.2011.25",
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"abstract": "Illumination in the context of machine vision is critical and its design has been manual in nature. The advent of small projectors at lower costs has created a wide range of possibilities presenting an opportunity to leverage in pursuit of automating the lighting. We propose the use of a projector and a camera in order to provide high contrast image where the projector has a role in highlighting dull parts of the scene and reducing light on shiny areas that tend to saturate the camera. The problem is ill-posed and hence we seek a semi-automated solution. This approach is opposite in direction to existing studies on projector camera systems which tend to superimpose a secondary image on a surface and correct for optimal viewing of the former. The configuration aims to enhance the capabilities of a smart camera to reduce manual lighting design and present a more unified system than existing smart cameras in the field.",
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{
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"content": "Illumination in the context of machine vision is critical and its design has been manual in nature. The advent of small projectors at lower costs has created a wide range of possibilities presenting an opportunity to leverage in pursuit of automating the lighting. We propose the use of a projector and a camera in order to provide high contrast image where the projector has a role in highlighting dull parts of the scene and reducing light on shiny areas that tend to saturate the camera. The problem is ill-posed and hence we seek a semi-automated solution. This approach is opposite in direction to existing studies on projector camera systems which tend to superimpose a secondary image on a surface and correct for optimal viewing of the former. The configuration aims to enhance the capabilities of a smart camera to reduce manual lighting design and present a more unified system than existing smart cameras in the field.",
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"normalizedAbstract": "Illumination in the context of machine vision is critical and its design has been manual in nature. The advent of small projectors at lower costs has created a wide range of possibilities presenting an opportunity to leverage in pursuit of automating the lighting. We propose the use of a projector and a camera in order to provide high contrast image where the projector has a role in highlighting dull parts of the scene and reducing light on shiny areas that tend to saturate the camera. The problem is ill-posed and hence we seek a semi-automated solution. This approach is opposite in direction to existing studies on projector camera systems which tend to superimpose a secondary image on a surface and correct for optimal viewing of the former. The configuration aims to enhance the capabilities of a smart camera to reduce manual lighting design and present a more unified system than existing smart cameras in the field.",
"fno": "05957553",
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"Smart Camera",
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"affiliation": "Sustainable Infrastructure Technologies, Siemens Corporate Research and Technologies, India",
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"proceeding": {
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"title": "2014 11th IAPR International Workshop on Document Analysis Systems (DAS)",
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"title": "A Seed-Based Segmentation Method for Scene Text Extraction",
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"abstract": "Scene text extraction, i.e., segmenting text pixels from background, is an important step before the text can be recognized. It is a challenging problem due to the cluttered background and the variation of lighting. In this paper, we propose a seed-based segmentation method that can automatically judge the text polarity, extract seed points of text and background, and segment texts by semi-supervised learning (SSL). First, we estimate the text polarity and the stroke width using gradient local correlation. Then, all the points in the middle of stroke edge pairs satisfying the width and polarity are taken as foreground seeds, and the points in the middle of the edge pairs with opposite polarity are taken as background seeds. The whole image is then segmented into text and background using an SSL algorithm. Owing to the accurate estimate of text polarity and extraction of seed points, the proposed method yields good segmentation performance. Experimental results on the KAIST dataset demonstrate the superiority of the method.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Scene text extraction, i.e., segmenting text pixels from background, is an important step before the text can be recognized. It is a challenging problem due to the cluttered background and the variation of lighting. In this paper, we propose a seed-based segmentation method that can automatically judge the text polarity, extract seed points of text and background, and segment texts by semi-supervised learning (SSL). First, we estimate the text polarity and the stroke width using gradient local correlation. Then, all the points in the middle of stroke edge pairs satisfying the width and polarity are taken as foreground seeds, and the points in the middle of the edge pairs with opposite polarity are taken as background seeds. The whole image is then segmented into text and background using an SSL algorithm. Owing to the accurate estimate of text polarity and extraction of seed points, the proposed method yields good segmentation performance. Experimental results on the KAIST dataset demonstrate the superiority of the method.",
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"normalizedAbstract": "Scene text extraction, i.e., segmenting text pixels from background, is an important step before the text can be recognized. It is a challenging problem due to the cluttered background and the variation of lighting. In this paper, we propose a seed-based segmentation method that can automatically judge the text polarity, extract seed points of text and background, and segment texts by semi-supervised learning (SSL). First, we estimate the text polarity and the stroke width using gradient local correlation. Then, all the points in the middle of stroke edge pairs satisfying the width and polarity are taken as foreground seeds, and the points in the middle of the edge pairs with opposite polarity are taken as background seeds. The whole image is then segmented into text and background using an SSL algorithm. Owing to the accurate estimate of text polarity and extraction of seed points, the proposed method yields good segmentation performance. Experimental results on the KAIST dataset demonstrate the superiority of the method.",
"fno": "3244a262",
"keywords": [
"Image Segmentation",
"Image Color Analysis",
"Image Edge Detection",
"Correlation",
"Lighting",
"Noise Reduction",
"Noise",
"Semi Supervised Learning",
"Text Extraction",
"Seed Based Segmentation",
"Color Polarity",
"Gradient Local Correlation"
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{
"affiliation": null,
"fullName": "Bo Bai",
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{
"affiliation": null,
"fullName": "Fei Yin",
"givenName": "Fei",
"surname": "Yin",
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{
"affiliation": null,
"fullName": "Cheng Lin Liu",
"givenName": "Cheng Lin",
"surname": "Liu",
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"abstract": "An intermediate representation of stereo image data in terms of 3D line segments is used to extract visible surfaces and their parameters. Methods and algorithms for recovering planar, cylindrical, conical, and spherical surfaces are described, and some test results are presented. The essence of the approach is testing of small sets of 3D line segments for compatibility with a particular surface type. Maximal sets of segments of supporting different surface are then identified. Some of the algorithms involve a novel use of the dual space representation. In the domain of polyhedral scenes initially restricted to blocklike objects and spaces, the planar surfaces are combined, using connectivity, to create 3D boxes, that correspond either to simple (i.e. convex) objects or spaces, or to convex parts, which are further combined to create composite objects and spaces.<>",
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"content": "An intermediate representation of stereo image data in terms of 3D line segments is used to extract visible surfaces and their parameters. Methods and algorithms for recovering planar, cylindrical, conical, and spherical surfaces are described, and some test results are presented. The essence of the approach is testing of small sets of 3D line segments for compatibility with a particular surface type. Maximal sets of segments of supporting different surface are then identified. Some of the algorithms involve a novel use of the dual space representation. In the domain of polyhedral scenes initially restricted to blocklike objects and spaces, the planar surfaces are combined, using connectivity, to create 3D boxes, that correspond either to simple (i.e. convex) objects or spaces, or to convex parts, which are further combined to create composite objects and spaces.<>",
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"Computerised Pattern Recognition",
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"abstract": "Spectral partitioning methods use the Fiedler vector-the eigenvector of the second-smallest eigenvalue of the Laplacian matrix-to find a small separator of a graph. These methods are important components of many scientific numerical algorithms and have been demonstrated by experiment to work extremely well. In this paper, we show that spectral partitioning methods work well on bounded-degree planar graphs and finite element meshes-the classes of graphs to which they are usually applied. While active spectral bisection does not necessarily work, we prove that spectral partitioning techniques can be used to produce separators whose ratio of vertices removed to edges cut is O(/spl radic/n) for bounded-degree planar graphs and two-dimensional meshes and O(n/sup 1/d/) for well-shaped d-dimensional meshes. The heart of our analysis is an upper bound on the second-smallest eigenvalues of the Laplacian matrices of these graphs: we prove a bound of O(1/n) for bounded-degree planar graphs and O(1/n/sup 2/d/) for well-shaped d-dimensional meshes.",
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"abstract": "Video quality measurement is an important factor to establish the quality of video communication and processing systems, such as broadcasting and mobile television, since they need to monitor broadcasting quality to compute optimal parameters that ensure a satisfactory quality level. The objective video quality assessment is a quick and low cost alternative when compared with the subjective evaluations. This paper presents a novel objective video quality algorithm that combines temporal analysis and the perceptual weighting technique. The proposed algorithm was validated using the correlation between objective measurements and the subjective scores provided by the LIVE Video Quality Database, considering the following conditions: H.264 and MPEG-2 encoding and transmission of H.264 bit-streams over IP and wireless networks. The results demonstrate that the proposed algorithm is a competitive alternative when compared with classical objective algorithms, such as MOVIE.",
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"abstract": "Liquid crystal display (LCD) devices are well known to have slow response due to the physical limitations of the liquid crystals. Therefore, fast moving objects in a scene are often seen blurred on an LCD. In order to reduce motion blur, an accurate LCD model and an efficient deblurring algorithm are needed. However, existing LCD models are inadequate to reflect the human eye tracking limitation. Also, the spatial-temporal equivalence in LCD models is widely used but not proven directly in the 2D discrete spatial domain. In this paper, we study the human eye tracking limit by reviewing a number of papers in the cognitive science literature. We provide both theoretical and experimental arguments to support our findings. Also, we prove the spatial-temporal equivalence rigourously and verify the results using real video sequences.",
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"abstract": "Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are pervasive in the real videos. In this paper we present a novel BLUr-driven Tracker (BLUT) framework for tracking motion-blurred targets. BLUT actively uses the information from blurs without performing debluring. Specifically, we integrate the tracking problem with the motion-from-blur problem under a unified sparse approximation framework. We further use the motion information inferred by blurs to guide the sampling process in the particle filter based tracking. To evaluate our method, we have collected a large number of video sequences with significatcant motion blurs and compared BLUT with state-of-the-art trackers. Experimental results show that, while many previous methods are sensitive to motion blurs, BLUT can robustly and reliably track severely blurred targets.",
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"abstract": "Planetary gear reducer is a typical device of power or motion transmission. The design of power planetary gear reducer may lead to significant effects on manufacturing, maintenance, operation and usability of an entire mechanical system. The optimal design of planetary gear reducer is to improve its loading capacity when its volume is reduced, weight lighted, efficiency raised and its service life prolonged. The optimization design of planetary gear reducer is a Constrained Optimization problem (CO). Compared with deterministic methods and Genetic Algorithms (GA), Particle Swarm Optimization Algorithm (PSO) is a good method in solving planetary gear reducer optimal problem. In this paper, we mainly introduce the optimal design of planetary gear reducer based on Particle Swarm Optimization Algorithm and MATLAB. Directed by the theory of Particle Swarm Optimization Algorithm, the complex planetary gear reducer optimal design model with eight design variables and eighteen inequality constraints conditions is established. When the model is simulated in MATLAB the minimal optimal value of variables and weight of planetary gear reducer can be obtained. Simulating Result shows that Particle Swarm Optimization is practical in solving complicated optimal design problems and effectively on avoiding constraint of solution and the optimal design of planetary gear reducer can be realized.",
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"content": "Planetary gear reducer is a typical device of power or motion transmission. The design of power planetary gear reducer may lead to significant effects on manufacturing, maintenance, operation and usability of an entire mechanical system. The optimal design of planetary gear reducer is to improve its loading capacity when its volume is reduced, weight lighted, efficiency raised and its service life prolonged. The optimization design of planetary gear reducer is a Constrained Optimization problem (CO). Compared with deterministic methods and Genetic Algorithms (GA), Particle Swarm Optimization Algorithm (PSO) is a good method in solving planetary gear reducer optimal problem. In this paper, we mainly introduce the optimal design of planetary gear reducer based on Particle Swarm Optimization Algorithm and MATLAB. Directed by the theory of Particle Swarm Optimization Algorithm, the complex planetary gear reducer optimal design model with eight design variables and eighteen inequality constraints conditions is established. When the model is simulated in MATLAB the minimal optimal value of variables and weight of planetary gear reducer can be obtained. Simulating Result shows that Particle Swarm Optimization is practical in solving complicated optimal design problems and effectively on avoiding constraint of solution and the optimal design of planetary gear reducer can be realized.",
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"title": "Proceedings of IEEE 14th Symposium on Mass Storage Systems",
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"doi": "10.1109/MASS.1995.528236",
"title": "The Planetary Data System Web catalog interface-another use of the Planetary Data System Data Model",
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"abstract": "The Planetary Data System (PDS) Data Model was presented at the Twelfth IEEE Symposium on Mass Storage Systems. This data model is used to represent the metadata that describes entities within the planetary science community such as data sets, spacecraft, and targets, as well as the archive data products produced by the PDS such as images, spectra, series, and qubes. The paper describes a new use for the PDS Data Model, that of a source for generating Hypertext Markup Language (HTML) documents for access through World Wide Web (WWW) clients such as NCSA's Mosaic. The PDS data set catalog, CD-ROM jukebox volume inventories, and the Planetary Science Data Dictionary are now represented in HTML and have been put on line for access via the Internet. This new interface has caused the number of users of the PDS data set catalog and requests for information to increase dramatically. In addition, new users in the educational community, at both the high school and university levels, have been added.",
"abstracts": [
{
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"content": "The Planetary Data System (PDS) Data Model was presented at the Twelfth IEEE Symposium on Mass Storage Systems. This data model is used to represent the metadata that describes entities within the planetary science community such as data sets, spacecraft, and targets, as well as the archive data products produced by the PDS such as images, spectra, series, and qubes. The paper describes a new use for the PDS Data Model, that of a source for generating Hypertext Markup Language (HTML) documents for access through World Wide Web (WWW) clients such as NCSA's Mosaic. The PDS data set catalog, CD-ROM jukebox volume inventories, and the Planetary Science Data Dictionary are now represented in HTML and have been put on line for access via the Internet. This new interface has caused the number of users of the PDS data set catalog and requests for information to increase dramatically. In addition, new users in the educational community, at both the high school and university levels, have been added.",
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"normalizedAbstract": "The Planetary Data System (PDS) Data Model was presented at the Twelfth IEEE Symposium on Mass Storage Systems. This data model is used to represent the metadata that describes entities within the planetary science community such as data sets, spacecraft, and targets, as well as the archive data products produced by the PDS such as images, spectra, series, and qubes. The paper describes a new use for the PDS Data Model, that of a source for generating Hypertext Markup Language (HTML) documents for access through World Wide Web (WWW) clients such as NCSA's Mosaic. The PDS data set catalog, CD-ROM jukebox volume inventories, and the Planetary Science Data Dictionary are now represented in HTML and have been put on line for access via the Internet. This new interface has caused the number of users of the PDS data set catalog and requests for information to increase dramatically. In addition, new users in the educational community, at both the high school and university levels, have been added.",
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"Data Structures Internet Planets Astronomy Computing Scientific Information Systems Hypermedia Online Front Ends Planetary Data System Web Catalog Interface Planetary Data System Data Model Metadata Planetary Science Community Data Sets Spacecraft Targets Archive Data Products Images Spectra Series Qubes Hypertext Markup Language Document Generation World Wide Web Clients Mosaic Data Set Catalog CD ROM Jukebox Volume Inventories Planetary Science Data Dictionary Internet Information Requests Educational Community"
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"proceeding": {
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"article": {
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"doi": "10.1109/CGI.2000.852323",
"title": "Visualization of Eclipses and Planetary Conjunction Events: The Interplay between Model Coherence, Scaling and Animation",
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"abstract": "The problem of an instructive and realistic animation and visualization of the shadow- and color-conditions during conjunctions of actively and passively illuminated cosmic objects has found only particularly satisfying solutions so far. As an example, we study a total solar eclipse. There are didactic shortcomings of specialized astronomical software, even though solutions have been given, which are very impressive for experts.Using the possibilities of commercial 3D-animation software, we give an object-oriented partial solution. In order to get correct astronomical representations we model - for different tasks - the object space under cinematic aspects with parameters for spatial and temporal scaling, for illumination and coloring under couplings of varying strength. The adaptation of the parameters to optimal acceptance of the spectator must be done a posteriori.",
"abstracts": [
{
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"content": "The problem of an instructive and realistic animation and visualization of the shadow- and color-conditions during conjunctions of actively and passively illuminated cosmic objects has found only particularly satisfying solutions so far. As an example, we study a total solar eclipse. There are didactic shortcomings of specialized astronomical software, even though solutions have been given, which are very impressive for experts.Using the possibilities of commercial 3D-animation software, we give an object-oriented partial solution. In order to get correct astronomical representations we model - for different tasks - the object space under cinematic aspects with parameters for spatial and temporal scaling, for illumination and coloring under couplings of varying strength. The adaptation of the parameters to optimal acceptance of the spectator must be done a posteriori.",
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"normalizedAbstract": "The problem of an instructive and realistic animation and visualization of the shadow- and color-conditions during conjunctions of actively and passively illuminated cosmic objects has found only particularly satisfying solutions so far. As an example, we study a total solar eclipse. There are didactic shortcomings of specialized astronomical software, even though solutions have been given, which are very impressive for experts.Using the possibilities of commercial 3D-animation software, we give an object-oriented partial solution. In order to get correct astronomical representations we model - for different tasks - the object space under cinematic aspects with parameters for spatial and temporal scaling, for illumination and coloring under couplings of varying strength. The adaptation of the parameters to optimal acceptance of the spectator must be done a posteriori.",
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"title": "2010 Second International Conference on Computer Modeling and Simulation (ICCMS 2010)",
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"doi": "10.1109/ICCMS.2010.294",
"title": "The Study About the Gear Mesh Nonlinearity and Dynamic Characteristics of Planetary Gearbox",
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"abstract": "The gear mesh nonlinear characteristic is an important factor in planetary gearbox nonlinear study. However the gear meshing stiffness in many research papers is often calculated with formulas from handbooks. This kind of method is not reliable and accurate enough in the planetary gear box nonlinear characteristic study especially in the high speed transmission. The vibration and noise is becoming worse and worse with the increase of speed and it is necessary to find a more reliable and accurate method in gear meshing stiffness calculation. A new gear meshing stiffness calculation method of planetary gearbox is presented in the paper and the new method and its Matlab codes are general to the planetary gear sets. With the new gear meshing stiffness of sun vs. pinion and ring vs. pinion, the planetary gear box nonlinear model was built. The whole planetary gear box was simulated in low and high speeds and some important characteristics are obtained and compared. Through these studies, the conclusion can be made that the nonlinear characteristics of planetary gear box can be modeled and simulated with these nonlinear gear meshing stiffness obtained from FEM model and its code, it is obvious that this new gear meshing stiffness calculation method and the nonlinear planetary gearbox models built with these stiffness are much more accurate and practical in solving large complex planetary gearbox nonlinear characteristics.",
"abstracts": [
{
"abstractType": "Regular",
"content": "The gear mesh nonlinear characteristic is an important factor in planetary gearbox nonlinear study. However the gear meshing stiffness in many research papers is often calculated with formulas from handbooks. This kind of method is not reliable and accurate enough in the planetary gear box nonlinear characteristic study especially in the high speed transmission. The vibration and noise is becoming worse and worse with the increase of speed and it is necessary to find a more reliable and accurate method in gear meshing stiffness calculation. A new gear meshing stiffness calculation method of planetary gearbox is presented in the paper and the new method and its Matlab codes are general to the planetary gear sets. With the new gear meshing stiffness of sun vs. pinion and ring vs. pinion, the planetary gear box nonlinear model was built. The whole planetary gear box was simulated in low and high speeds and some important characteristics are obtained and compared. Through these studies, the conclusion can be made that the nonlinear characteristics of planetary gear box can be modeled and simulated with these nonlinear gear meshing stiffness obtained from FEM model and its code, it is obvious that this new gear meshing stiffness calculation method and the nonlinear planetary gearbox models built with these stiffness are much more accurate and practical in solving large complex planetary gearbox nonlinear characteristics.",
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"normalizedAbstract": "The gear mesh nonlinear characteristic is an important factor in planetary gearbox nonlinear study. However the gear meshing stiffness in many research papers is often calculated with formulas from handbooks. This kind of method is not reliable and accurate enough in the planetary gear box nonlinear characteristic study especially in the high speed transmission. The vibration and noise is becoming worse and worse with the increase of speed and it is necessary to find a more reliable and accurate method in gear meshing stiffness calculation. A new gear meshing stiffness calculation method of planetary gearbox is presented in the paper and the new method and its Matlab codes are general to the planetary gear sets. With the new gear meshing stiffness of sun vs. pinion and ring vs. pinion, the planetary gear box nonlinear model was built. The whole planetary gear box was simulated in low and high speeds and some important characteristics are obtained and compared. Through these studies, the conclusion can be made that the nonlinear characteristics of planetary gear box can be modeled and simulated with these nonlinear gear meshing stiffness obtained from FEM model and its code, it is obvious that this new gear meshing stiffness calculation method and the nonlinear planetary gearbox models built with these stiffness are much more accurate and practical in solving large complex planetary gearbox nonlinear characteristics.",
"fno": "05421076",
"keywords": [
"Automotive Engineering",
"Gears",
"Mesh Generation",
"Solid Modelling",
"Gear Mesh Nonlinearity Characteristic",
"Planetary Gearbox",
"Gear Meshing Stiffness Calculation Method",
"FEM Model",
"Finite Element Method",
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