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"abstract": "With the increase in connectedness and the growing volume of data, ensuring confidentiality becomes increasingly critical. Data-driven analyses try to cope with this complexity by automatically verifying confidentiality at design time. However, confidentiality constraints are manifold. Thus, analyses limit the software architect's possibilities of expression or require them to use the underlying verification formalism directly. We propose a domain-specific language to enable architects to formulate data flow constraints using the terminology and abstraction of the architectural domain. We present a mapping of data flow constraints and results which is compliant to the transformation of the architecture and evaluated based on real-world scenarios.",
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"abstract": "This paper presents a study on the effectiveness of a smoke exhaust system in a complex building using the computational fluid dynamics (CFD) models. The CFD model FDS (fire dynamics simulator) was used for this study. To simulate fires in the building a design fire was selected to represent the fire loads expected in the lobby area. Smoke movement from the origin of fire in the lobby and smoke contamination in the interconnected corridors are simulated in order to design the exhaust system to be capable of maintaining tenable conditions in the corridor used for evacuation. The results of these simulations are presented and discussed",
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"content": "This paper presents a study on the effectiveness of a smoke exhaust system in a complex building using the computational fluid dynamics (CFD) models. The CFD model FDS (fire dynamics simulator) was used for this study. To simulate fires in the building a design fire was selected to represent the fire loads expected in the lobby area. Smoke movement from the origin of fire in the lobby and smoke contamination in the interconnected corridors are simulated in order to design the exhaust system to be capable of maintaining tenable conditions in the corridor used for evacuation. The results of these simulations are presented and discussed",
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"abstract": "In order to develop low energy consumption and high efficiency stirrer, authors have designed a new type of cylinder stirrer for low viscosity medium. In this article, CFD investigation of the flow field, power consumption and mixing time in lab-scale vessels by large height diameter ratio cylinder stirrer are performed. Three-dimensional time-dependent flow and mixing prediction have been carried out using MRF (Multi Reference Frames) method embodied CFD (Computational Fluid Mechanics) package FLUENT6.2, and mixing time studies were done using a simulated tracer injection experiment. The CFD results show the performance of large height diameter ratio cylinder is better than the one of small ratio.",
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"abstract": "A new application for path planning is presented for mobile robot transportation in life science laboratories. In this application: (a) to decide the shortest paths for mobile tasks, a hybrid path planning strategy using two algorithms from the map theory is proposed. The Floyd algorithm is adopted to do an off-line path planning, and the Dijkstra algorithm is executed to decide an on-line alternative path when the Floyd based route is not available. Different to intelligence based planning methods (such as Artificial Neural Networks), the map theory based methods can definitely guarantee a global shortest path based on the prepared waypoints. This is important for a big life science environment; (b) besides the path planning issue, other main contents for mobile transportation are elaborated, including task dispatching, robot localization, communication architecture, XML-based command protocol, etc. Two experiments show that the proposed application and its developed software are effective for mobile robot transportation in life science laboratories.",
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"content": "Double manipulator path planning is the basis for overhead line live working robot to complete the task. The previous dual manipulator motion path planning method has some problems, such as low success rate, low convergence speed, unstable guidance, and easy to lead to path discontinuity in complex environment. Therefore, this paper proposes a decoupling motion planning method for two manipulators of live working robot based on hybrid RRT (Rapidly-Exploring Random Trees) algorithm. The hybrid RRT algorithm combines target offset RRT algorithm, bidirectional RRT algorithm and dynamic expansion RRT algorithm. MATLAB robot toolbox is used to simulate the motion path planning of 6-DOF double manipulator of overhead line live working robot. The results show that the method proposed in this paper can realize the loose coupling and efficient collision free motion planning of double manipulator of live working robot.",
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"title": "Quadcopter Obstacle Avoidance and Path Planning Using Flood Fill Method",
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"abstract": "Unmanned Aerial Vehicles (UAVs) require advanced path planning and obstacle avoidance algorithms for navigation. In this paper, the Flood Fill Method (FFM) was employed for navigating an autonomous quadcopter in a simulated environment created using MATLAB. The proposed method was compared with the traditionally used Potential Field Method (PFM). For a known terrain, Flood Fill Method works computationally faster for a repetitively same path. These methods were compared in terms of the parameters such as avoiding random obstacles for variable starting and destination positions, the time required to complete the journey, and the optimum path selection.",
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"abstract": "An arithmetic for 3D Seabed Terrain Establishment using scattered depth data is designed and realized. This method combines the moving green function spline interpolation with distance-weighted average arithmetic based on analyzing their characteristic. It could learn from other's strong points to offset one's weakness. Furthermore, before the complex interpolation, we judge and preprocess the depth water points that we have searched. The results show that seabed terrain which is established by this method has high precision and good stability. Besides, comparing with the moving green function spline interpolation, the computing time of this method is shorter.",
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"title": "2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum",
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"abstract": "Due to their outstanding computational performance, many acceleration devices, such as GPUs, the Cell Broadband Engine (Cell/B.E.), and multi-core computing are attracting a lot of attention in the field of high-performance computing. Although there are many programming models and languages de-signed for programming accelerators, such as CUDA, AMD Accelerated Parallel Processing (AMD APP), and OpenCL, these models remain difficult and complex. Furthermore, when programming for accelerator-enhanced clusters, we have to use an inter-node programming interface, such as MPI to coordinate the nodes. In order to address these problems and reduce complexity, an extension to XcalableMP (XMP), a PGAS language, for use on accelerator-enhanced clusters, called XcalableMP Device Acceleration Extension (XMP-dev), is proposed. In XMP-dev, a global distributed data is mapped onto distributed memory of each accelerator, and a fragment of codes can be of-floaded to execute in a set of accelerators. It eliminates the complex programming between nodes and accelerators and between nodes. In this paper, we present an implementation of the XMP-dev runtime library with the OpenCL APIs, while the previous implementation targets CUDA-only. Since OpenCL is a standardized interface supported for various kinds of accelerators, it improves the portability of XMP-dev and reduces the cost of development. In the result of performance evaluation, we show that the OpenCL implementation of XMP-dev can generate portable programs that can run on not only NVIDIA GPU-enhanced clusters but also various accelerator-enhanced clusters.",
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"abstract": "The particle swarm optimization (PSO), which goes right after Ant Colony Algorithm, is another new swarm intelligence algorithm. PSO has the same drawbacks as other optimization algorithms in spite of its predominance in some fields. That is easily falling into local optimization solution and low convergence velocity in the final stage. An improved algorithm called acceleration factors self-adaptive PSO (ASAPSO) was proposed for the drawbacks. The constant acceleration coefficients in the standard PSO were changed into self-adaptive acceleration factors in the progress of evolution. By controlling the acceleration factors, the particles have stronger global search capability in the early stage and are less likely to be impacted by the current global optimum position and the particles fly to global optimum position more rapidly in the final stage, thus achieved enhanced the convergence velocity. From the numerous experimental results on 4 widely used benchmark functions, we can show that ASAPSO outperforms other three improved PSO.",
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"content": "The particle swarm optimization (PSO), which goes right after Ant Colony Algorithm, is another new swarm intelligence algorithm. PSO has the same drawbacks as other optimization algorithms in spite of its predominance in some fields. That is easily falling into local optimization solution and low convergence velocity in the final stage. An improved algorithm called acceleration factors self-adaptive PSO (ASAPSO) was proposed for the drawbacks. The constant acceleration coefficients in the standard PSO were changed into self-adaptive acceleration factors in the progress of evolution. By controlling the acceleration factors, the particles have stronger global search capability in the early stage and are less likely to be impacted by the current global optimum position and the particles fly to global optimum position more rapidly in the final stage, thus achieved enhanced the convergence velocity. From the numerous experimental results on 4 widely used benchmark functions, we can show that ASAPSO outperforms other three improved PSO.",
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"title": "Simulation on Crowd Mobility of Moving Objects Using Multi-Agent and ClearPath",
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"abstract": "Crowd simulation is the simulation process of movement on a large number of agents in a virtual environment and simulated in the form of animation. The object's tranquility is not just a collection of some individuals but the crowd of objects illustrating how individual's movements can be affected by other individual movements in the crowd. It is necessary then to set the direction and velocity of the object as it moves. The purpose of this research is to simulate the multi agency of movement between objects by using ClearPath. The output generated from this simulation is the simulation process time and the number of collisions that occur during the simulation process. The results obtained from several trials of three simulation models show that ClearPath is capable of handling simulations that require multiple objects, ClearPath can direct objects to avoid static obstacles, increasing number of objects will enhance the number of collisions occurring and simulation time.",
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"content": "The rapid increase of the senior population in our societies calls for innovative tools to early detect symptoms of cognitive decline. To this aim, several methods have been recently proposed that exploit Internet of Things data and artificial intelligence techniques to recognize abnormal behaviors. In particular, the analysis of position traces may enable early detection of cognitive decline. However, indoor movement analysis introduces several challenges. Indeed, indoor movements are constrained by the ambient shape and by the presence of obstacles, and are affected by variability of activity execution. In this paper, we propose a novel method to identify abnormal indoor movement patterns that may indicate cognitive decline according to well known clinical models. Our method relies on trajectory segmentation, visual feature extraction from trajectory segments, and vision-based deep learning on the edge. In order to avoid privacy issues, we rely on indoor localization technologies without the use of cameras. Preliminary experimental results with a real-world dataset gathered from cognitively healthy persons and people with dementia show that this research direction is promising.",
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"affiliation": "University of Cagliari,Dept. of Mathematics and Computer Science,Cagliari,Italy",
"fullName": "Samaneh Zolfaghari",
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"affiliation": "K. N. Toosi University of Technology,Dept. of Geo-spatial Information Systems,Tehran,Iran",
"fullName": "Elham Khodabandehloo",
"givenName": "Elham",
"surname": "Khodabandehloo",
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"affiliation": "University of Cagliari,Dept. of Mathematics and Computer Science,Cagliari,Italy",
"fullName": "Daniele Riboni",
"givenName": "Daniele",
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"pages": "290-295",
"year": "2020",
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"title": "IEEE Virtual Reality 2008",
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"abstract": "This paper proposes vertex-preserving cutting methods on finite element models for interactive soft tissue simulation. Unlike existing methods, we aim to shape variety of incisions using only initial vertices of tetrahedral meshes. Neither tetrahedral decomposition nor vertex creation is used. The number of vertices is preserved. This avoids increase of computation cost as well as allows fast update of physical status of finite element models. To preserve 3D shape and sharp feature of initial meshes through on-the-fly mesh modification, constraints are introduced to the topological update scheme. In our model, the size of stiffness matrix is constant. Our framework efficiently simulates several varieties of smooth incisions with sufficient quality for surgical simulation, and also achieves interactive performance in complex meshes with thousands of elements.",
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"content": "This paper proposes vertex-preserving cutting methods on finite element models for interactive soft tissue simulation. Unlike existing methods, we aim to shape variety of incisions using only initial vertices of tetrahedral meshes. Neither tetrahedral decomposition nor vertex creation is used. The number of vertices is preserved. This avoids increase of computation cost as well as allows fast update of physical status of finite element models. To preserve 3D shape and sharp feature of initial meshes through on-the-fly mesh modification, constraints are introduced to the topological update scheme. In our model, the size of stiffness matrix is constant. Our framework efficiently simulates several varieties of smooth incisions with sufficient quality for surgical simulation, and also achieves interactive performance in complex meshes with thousands of elements.",
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"affiliation": "Nara Institute of Science and Technology, e-mail: meg@is.naist.jp",
"fullName": "Megumi Nakao",
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"affiliation": "Nara Institute of Science and Technology",
"fullName": "Kotaro Minato",
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"affiliation": "Kyoto University",
"fullName": "Naoto Kume",
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"affiliation": "University of Fukui",
"fullName": "Shin-ichiro Mori",
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"affiliation": "Kyoto University",
"fullName": "Shinji Tomita",
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"title": "Tetrahedral Mesh Segmentation Based on Quality Criteria",
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"abstract": "Simulations based on the Finite Element Method are widely applied in different contexts. The convergence and reliability of results depends directly on the quality of the tetrahedrons that compose FEM meshes. In this context, this work aimed to obtain tetrahedral meshes of real structures from tomographic images using open source software and split those tetrahedrons that do not contribute for convergence of such simulations through the aspect ratio criteria. As a result, tetrahedral meshes from real structures were obtained together with indications of the regions that could impair FEM simulations. Moreover, this approach makes it possible to study specific methods for local refinements for improving numerical simulations. These findings are of great interest to users generally, and particularly to researchers working on geometric and topological methods for shape and solid modeling, with extensive applications in the fields of Computational Fluid Dynamics, Heat Transfer and others.",
"abstracts": [
{
"abstractType": "Regular",
"content": "Simulations based on the Finite Element Method are widely applied in different contexts. The convergence and reliability of results depends directly on the quality of the tetrahedrons that compose FEM meshes. In this context, this work aimed to obtain tetrahedral meshes of real structures from tomographic images using open source software and split those tetrahedrons that do not contribute for convergence of such simulations through the aspect ratio criteria. As a result, tetrahedral meshes from real structures were obtained together with indications of the regions that could impair FEM simulations. Moreover, this approach makes it possible to study specific methods for local refinements for improving numerical simulations. These findings are of great interest to users generally, and particularly to researchers working on geometric and topological methods for shape and solid modeling, with extensive applications in the fields of Computational Fluid Dynamics, Heat Transfer and others.",
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"affiliation": "Dept. of Comput. Sci. & Stat., Sao Paulo State Univ., Sao Jose do Rio Preto, Brazil",
"fullName": "Leandro Alves Neves",
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"affiliation": "Dept. of Comput. Sci. & Stat., Sao Paulo State Univ., Sao Jose do Rio Preto, Brazil",
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"affiliation": "Dept. of Comput. Sci. & Stat., Sao Paulo State Univ., Sao Jose do Rio Preto, Brazil",
"fullName": "André Felipe Cintra",
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"affiliation": "Dept. of Comput. Sci. & Stat., Sao Paulo State Univ., Sao Jose do Rio Preto, Brazil",
"fullName": "Geraldo Francisco Donegá Zafalon",
"givenName": "Geraldo Francisco Donegá",
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{
"affiliation": "Dept. of Comput. Sci. & Stat., Sao Paulo State Univ., Sao Jose do Rio Preto, Brazil",
"fullName": "Marcelo Zanchetta Do Nascimento",
"givenName": "Marcelo",
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{
"affiliation": "Dept. of Comput. Sci. & Stat., Sao Paulo State Univ., Sao Jose do Rio Preto, Brazil",
"fullName": "Carlos Roberto Valêncio",
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"title": "The design of LLVM-based shader compiler for embedded architecture",
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"abstract": "The increasing hand-held devices has resulted in widespread use of Apps. To sustain the Apps performance, most developers use Graphic Processing Units (GPUs) as hardware accelerator recently. As a result, GPUs become the basic system requirement in the smart hand-held devices. With the improvement of GPUs techniques, the rendering pipeline has become programmable by using the shading language proposed from DirectX and OpenGL. A shader compiler is essential to compile the shading language into GPU assembly in order to run on programmable rendering pipelines. In this thesis, we describe a case study for the process to implement an OpenGL-ES 2.0 shader compiler for new GPU designed by an ITRI team. The compiler is based on LLVM and OpenGL framework Mesa. We use the front-end from Mesa that translates the OpenGL-ES shading language (GLSL ES) 2.0 to TGSI intermediate form and the Gallium3D device driver framework in Mesa will translate the TGSI to LLVM bitcode. Finally, we use the LLVM as backend to compile the bitcode to assembly NV gpu program4. In our preliminary experimental results, we use the gpu simualtor provided from ITRI and GLES benchmark to show that our LLVM based shader compiler is able to generate reliable codes for basic OpenGL-ES programs.",
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"title": "Visualization of Hyperspectral Images Using Moving Least Squares",
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"abstract": "Displaying the large number of bands in a hyperspectral image (HSI) on a trichromatic monitor has been an active research topic. The visualized image shall convey as much information as possible from the original data and facilitate image interpretation. Most existing methods display HSIs in false colors, which contradict with human's experience and expectation. In this paper, we propose a nonlinear approach to visualize an input HSI with natural colors by taking advantage of a corresponding RGB image. Our approach is based on Moving Least Squares (MLS), an interpolation scheme for reconstructing a surface from a set of control points, which in our case is a set of matching pixels between the HSI and the corresponding RGB image. Based on MLS, the proposed method solves for each spectral signature a unique transformation so that the nonlinear structure of the HSI can be preserved. The matching pixels between a pair of HSI and RGB image can be reused to display other HSIs captured by the same imaging sensor with natural colors. Experiments show that the output images of the proposed method not only have natural colors but also maintain the visual information necessary for human analysis.",
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"content": "Displaying the large number of bands in a hyperspectral image (HSI) on a trichromatic monitor has been an active research topic. The visualized image shall convey as much information as possible from the original data and facilitate image interpretation. Most existing methods display HSIs in false colors, which contradict with human's experience and expectation. In this paper, we propose a nonlinear approach to visualize an input HSI with natural colors by taking advantage of a corresponding RGB image. Our approach is based on Moving Least Squares (MLS), an interpolation scheme for reconstructing a surface from a set of control points, which in our case is a set of matching pixels between the HSI and the corresponding RGB image. Based on MLS, the proposed method solves for each spectral signature a unique transformation so that the nonlinear structure of the HSI can be preserved. The matching pixels between a pair of HSI and RGB image can be reused to display other HSIs captured by the same imaging sensor with natural colors. Experiments show that the output images of the proposed method not only have natural colors but also maintain the visual information necessary for human analysis.",
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"keywords": [
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"affiliation": "College of Computer Science, Zhejiang University, HangZhou, China",
"fullName": "Danping Liao",
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"affiliation": "College of Computer Science, Zhejiang University, HangZhou, China",
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"affiliation": "College of Computer Science, Zhejiang University, HangZhou, China",
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"title": "ACR BER correlation to ATE for a COFDM VHF RX",
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"abstract": "With a BER to SNR correlation, it was found that it was possible to test ACR in VHF receivers with one measurement. Moving component testing for any device from the bench to ATE poses many challenges, but releasing a high-speed RF device with a design margin issue to a production setting is somewhat challenging. To facilitate the testing of ACR in a production environment, a technique was found that correlated ACR in terms of BER to SNR. This technique, which was developed for ATE, also greatly reduced test time whilst ensuring highly reliable test results.",
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"abstract": "Dynamic graphs are valuable means to represent the volatility of real-world networks. In such scenarios, dense subgraph mining is a widely studied task, as it can give insights about how the relationships change over time. However, there are cases in which these changes are correlated. For example, in a road network, a traffic accident affects also the traffic in the adjacent road segments. We consider the problem of detecting dense regions of correlation in dynamically evolving networks, and demonstrate EXCODE, a system that solves two variants of the problem, which are based on two different density measures. It enumerates all the subgraphs satisfying certain density and correlation constraints, but can also detect compact subsets of limited overlap. In this demonstration, the audience can try this tool with real-world datasets, hence visualizing, interacting, and exploring the dense correlated subgraphs discovered in the mining process. An interactive panel allows them to learn where the correlations are located in the network, how the regions of correlation are related to each other, and how they evolve over time.",
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"affiliation": "University of Trento",
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"affiliation": "Aalto University",
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"abstract": "We describe two multivariate statistical dependence measures which can be orthogonally decomposed to separate the effects of pairwise, triplewise, and higher order interactions between the random variables. These decompositions provide a convenient method of analyzing statistical dependencies between large groups of random variables, within which smaller \"sub-groups\" may exhibit dependencies separately from the rest of the variables. The first dependence measure is a generalization of Pearson's /spl phi//sup 2/, and we decompose it using an orthonormal series expansion of joint probability density functions. The second measure is based on the Kullback-Leibler distance, and we decompose it using information geometry. Applications of these techniques include analysis of neural population recordings and multimodal sensor fusion. We discuss in detail the simple example of three jointly defined binary random variables.",
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"content": "We describe two multivariate statistical dependence measures which can be orthogonally decomposed to separate the effects of pairwise, triplewise, and higher order interactions between the random variables. These decompositions provide a convenient method of analyzing statistical dependencies between large groups of random variables, within which smaller \"sub-groups\" may exhibit dependencies separately from the rest of the variables. The first dependence measure is a generalization of Pearson's /spl phi//sup 2/, and we decompose it using an orthonormal series expansion of joint probability density functions. The second measure is based on the Kullback-Leibler distance, and we decompose it using information geometry. Applications of these techniques include analysis of neural population recordings and multimodal sensor fusion. We discuss in detail the simple example of three jointly defined binary random variables.",
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"abstract": "As a new kind of cylindrical gear, the in volute arch cylindrical gear has preferable transmission characteristics, but its main geometry parameters have no unified standard. In this paper, the ideal geometry parameters of in volute arch cylindrical gear are proposed and its tooth surface equation and meshing line equation are discussed. For verification, the computer graphics is introduced to show the meshing characteristics. By programming, tooth surface and meshing line are discretizesd, fetching some points and linking these points by short straight line to present the lines and surfaces which are visualized to show meshing characteristics. Simultaneously, a process way for arch cylindrical gears is proposed.",
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"abstract": "The constructions of Haar wavelet synopses for large datasets have proven to be useful tools for data approximation. Recently, research on constructing wavelet synopses with a guaranteed maximum error has gained attention. The goal is to find optimal synopses that minimize the approximation error under certain metrics. There are two approaches to realize this goal: size bounded and error bounded. In this paper, we provide a new algorithm for building error-bounded synopses. Our approach is based on the heuristic approach, achieving near-optimal accuracy and superior runtime performance. In addition, we provide the pruning techniques, which can greatly improve the performance of error bounded synopses construction. We then demonstrate the effectiveness of our algorithm through extensive experiments.",
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"content": "An approximation algorithm for the permanent of an n*n 0,1-matrix is presented. The algorithm is shown to have worst-case time complexity exp (0(n/sup 1/2/ log/sup 2/ n)). Asymptotically, this represents a considerable improvement over the best existing algorithm, which has worst-case time complexity of the form e/sup theta (n)/.",
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"abstract": "In this study we present robust solution for estimating 3D pose and shape of human targets from multiple, synchronized video streams. The objective is to automatically estimate physical attributes of the targets that would allow us to analyze its behavior non-intrusively. Proposed system estimates the anthropometric skeleton, pose and shape of the human target from the 3D visual hull reconstructed from multiple silhouettes of the target. Discriminative (bottom-up) method is used to first initialize 3D pose of the targets using low-level features extracted from the 2D image. The pose is refined using generative (top-down) method that also estimates the optimal skeleton of the target using anthropometric prior models learned from the CAESAR dataset. Statistical shape models are also learned from the CAESAR dataset and are used to model both global and local shape variability of human body parts. We also propose a novel optimization scheme to fit 3D shape by searching in the parametric space of local parts model and constraining the overall shape using a global shape model. The system provides a useful framework for automatically identifying dispropotionate body parts, estimating size of backpacks and inferring attributes like gender, age and ethnicity of the human target.",
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"content": "Natural human-robot interaction requires leveraging viewing direction information in order to recognize, respond to, and even emulate human behavior. Knowledge of the eye gaze and point of regard gives us insight into what the subject is interested in and/or who the subject is addressing. In this paper, we present a novel eye gaze estimation approach for point-of-regard (PoG) tracking. To allow for greater head pose freedom, we introduce a new calibration approach to find the 3D eyeball location, eyeball radius, and fovea position. To estimate gaze direction, we map both the iris center and iris contour points to the eyeball sphere (creating a 3D iris disk), giving us the optical axis. We then rotate the fovea accordingly and compute our final, visual axis gaze direction. Our intention is to integrate this eye gaze approach with a dual-camera system we have developed that detects the face and eyes from a fixed, wide-angle camera and directs another active pan-tilt-zoom camera to focus in on this eye region. The final system will permit natural, non-intrusive, pose-invariant PoG estimation in distance and allow user translational freedom without resorting to infrared equipment or complex hardware setups.",
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"affiliation": "Department of Computer Science, State University of New York at Binghamton, USA",
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"abstract": "Red-eye is a very common problem in flash photography which can ruin a good photo by introducing color aberration into the subject's eyes. Previous methods to deal with this problem include special speedlight apparatus or flash mode that can reduce the red-eye effect, as well as post-capture red-eye correction software. The paper presents a new approach to detecting and correcting red-eye defects automatically by combining flash and non-flash digital images. It is suitable to be incorporated into compact digital cameras that support continuous shooting. Such a camera would eliminate red-eye immediately after image capture. Unlike existing approaches, our method is simple, fast and can recover the true color of the eyes",
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