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作者： Burns, Gully A.P.C. Gil, Yolanda Villanueva-Rosales, Natalia Liu, Yan Risi, Sebastian Lehman, Joel Clune, Jeff Lebiere, Christian Rosenbloom, Paul S. Van Harmelen, Frank Hendler, James A. Hitzler, Pascal Janowicz, Krzysztof Swarup, Samarth Biomedical Knowledge Engineering Group Information Sciences Institute University of Southern California United States Interactive Knowledge Capture Research Group Information Sciences Institute United States Department of Computer Science University of Southern California United States Department of Computer Science and Cyber-ShARE Center of Excellence University of Texas El Paso United States Center for Computer Games Research University of Copenhagen Denmark Department of Computer Science University of Texas Austin United States University of Wyoming United States Department of Psychology Carnegie Mellon University United States Institute for Creative Technologies United States Vrije Universiteit Amsterdam Netherlands Rensselaer Polytechnic Institute United States Wright State University United States University of California Santa Barbara United States Virginia Bioinformatics Institute Virginia Tech. United States

The Association for the Advancement of Artificial Intelligence was pleased to present the 2013 Fall Symposium Series, held Friday through Sunday, November 15-17, at the Westin Arlington Gateway in Arlington, Virginia, near Washington, D.C., USA. The titles of the five symposia were Discovery Informatics: AI Takes a science- centered View on Big Data (FS-13-01);How Should Intelligence Be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or - ? (FS-13-02);Integrated Cognition (FS-13-03);Semantics for Big Data (FS- 13-04);and Social Networks and Social Contagion: Web Analytics and Computational Social science (FS-13-05). The highlights of each symposium are presented in this report. Copyright © 2014, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Big data

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Utilizing mobile nodes for congestion control in wireless sensor networks

arXiv

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arXiv 2019年

作者： Nicolaou, Antonia Temene, Natalie Sergiou, Charalampos Georgiou, Chryssis Vassiliou, Vasos Department of Computer Science University of Cyprus Nicosia Cyprus RISE Research Center on Interactive Media Smart Systems and Emerging Technologies Nicosia Cyprus

Congestion control and avoidance in Wireless Sensor Networks (WSNs) is a subject that has attracted a lot of research attention in the last decade. Besides rate and resource control, the utilization of mobile nodes has also been suggested as a way to control congestion. In this work, we present a Mobile Congestion Control (MobileCC) algorithm with two variations, to assist existing congestion control algorithms in facing congestion in WSNs. The first variation employs mobile nodes that create locally-significant alternative paths leading to the sink. The second variation employs mobile nodes that create completely individual (disjoint) paths to the sink. Simulation results show that both variations can significantly contribute to the alleviation of congestion in WSNs. Copyright © 2019, The Authors. All rights reserved.

关键词： Sensor nodes

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Robot-assisted mechanical scanning and co-registration of Magnetic Resonance Imaging and light-induced fluorescence

Robot-assisted mechanical scanning and co-registration of Ma...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Ahmet E. Sonmez William M. Spees Alpay Özcan Zhigang Deng Andrew G. Webb Nikolaos V. Tsekos Medical Robotics Laboratory Department of Computer Science at University of Houston Houston TX USA Biomedical Magnetic Resonance Laboratory Washington University St. Louis MO USA Arlington Innovation Center Virginia Polytechnic Institute and State University Arlington VA USA Computer Graphics & Interactive Media Lab and Computer Science Department at University of Houston Houston TX USA Department of Radiology Leiden University Medical Center Leiden Netherlands

Robotic manipulators offer some unique opportunities to address research and clinical needs. Among those is the potential use of a robotic manipulator to mechanically scan the tissue of interest with biosensors that have limited tissue penetration. In such cases, the robot can serve a dual role. First, it can perform spatial scanning with the biosensor along a pre-selected path inside the tissue. Second, it can function as the mechanical link to spatially co-register the data collected with the biosensor and the images of a guidance modality. Herein, we describe a robotic system to mechanically scan with a light-induced fluorescence (LIF) sensor and co-register LIF data to the guiding modality of MRI. Specifically, a custom-built MR-compatible endoscope was integrated onto the end-effector of an MR-compatible manipulator to collect MRI-guided LIF 1D scans. A miniature radiofrequency (RF) coil attached onto the end-effector was used as a fiducial marker for co-registering LIF and MRI. This mechanically scanning system was investigated on two compartment phantoms, each with different optical agents. Those studies demonstrated “robot-assisted” multi-modality co-registration, i.e. the spatial distribution of the LIF signals matched with the MR guiding images. The system can incorporate additional sensors for collecting complementary biochemical information.

关键词： Optical fibers Manipulators Robot sensing systems Probes Coils

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Fast and stable animation of cloth with an approximated implicit method

Fast and stable animation of cloth with an approximated impl...

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computer graphics International

作者： Young-Min Kang Jeong-Hyeon Choi Hwan-Gue Cho Chan-Jong Park Graphics Application Lab Department of Computer Science Pusan National University South Korea Virtual Reality Center Electronics and Telecommunication Research Institute

Realistic animation of soft objects such as cloth is essential for plausible character animation. Many techniques have been proposed for the simulation of soft objects, and most of them are based on numerical integration. Among the techniques, the implicit integration method is the most likely technique for real time environments, since it allows large time steps for cloth simulation by ensuring the stability of systems. However the most critical flaw of the implicit method is that it involves a large linear system. The paper presents a fast animation technique for animating soft objects based on a mass-spring model with an approximated implicit method which does not involve linear system solving. The proposed technique stably updates the state of n mass-points in O(n) time when the number of total springs are O(n). Because the mass-spring model shows a superelastic effect, the excessively deformed springs (i.e., super-elongated springs) should be adjusted for reality. The paper presents an efficient inverse dynamics process to adjust the super-elongated springs.

关键词： Animation Springs Computational modeling Linear systems Stability Deformable models Electrical capacitance tomography Image generation computer graphics Application software

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System for inspection of large high-resolution radiography datasets

System for inspection of large high-resolution radiography d...

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IEEE Conference on Aerospace

作者： Tom Wypych So Yamaoka Kevin Ponto Falko Kuester San Diego Department of Computer Science and Engineering CalIT2 Center of Graphics Visualization and Virtual Reality (GRAVITY) University of California USA

High-resolution image collections pose unique challenges to analysts tasked with managing the associated data assets and deriving new information from them. While significant progress has been made towards rapid automated filtering, alignment, segmentation, characterization, and feature identification from image collections, the extraction of new insights still strongly depends on human intervention. In real-time capture and immediate-mode analysis environments where image data has to be continuously and interactively processed, a broad set of challenges in the image-driven verification and analysis cycle have to be addressed. A framework for interactive and intuitive inspection of large, high-resolution image data sets is presented, leveraging the strength of the human visual system for large-scale image processing. A case study is provided for an X-ray radiography system, covering the scanner-to-screen data management and representation pipeline, resulting in a visual analytics environment enabling analytical reasoning by means of interactive and intuitive visualization.

关键词： Imaging Inspection Data visualization X-ray imaging Visual analytics Pixel Radar imaging

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DataMeadow: A visual canvas for analysis of large-scale multivariate data

DataMeadow: A visual canvas for analysis of large-scale mult...

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作者： Elmqvist, Niklas Stasko, John Tsigas, Philippas INRIA Université Paris-Sud France School of Interactive Computing GVU Center Georgia Institute of Technology Atlanta GA United States Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden INRIA/LRI Bat 490 Université Paris-Sud 91405 Orsay Cedex France

Supporting visual analytics of multiple large-scale multidimensional data sets requires a high degree of interactivity and user control beyond the conventional challenges of visualizing such data sets. We present the DataMeadow, a visual canvas providing rich interaction for constructing visual queries using graphical set representations called DataRoses. A DataRose is essentially a starplot of selected columns in a data set displayed as multivariate visualizations with dynamic query sliders integrated into each axis. The purpose of the DataMeadow is to allow users to create advanced visual queries by iteratively selecting and filtering into the multidimensional data. Furthermore, the canvas provides a clear history of the analysis that can be annotated to facilitate dissemination of analytical results to stakeholders. A powerful direct manipulation interface allows for selection, filtering, and creation of sets, subsets, and data dependencies. We have evaluated our system using a qualitative expert review involving two visualization researchers. Results from this review are favorable for the new method. © 2008 PalgraveMacmillan Ltd. All rights reserved.

关键词： Support vector machines

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Sparse inpainting with smoothed particle hydrodynamics

arXiv

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arXiv 2020年

作者： Daropoulos, Viktor Augustin, Matthias Weickert, Joachim Interactive Graphics and Simulation Group Department of Computer Science Universität Innsbruck Technikerstraße 21a Innsbruck6020 Austria Mathematical Image Analysis Group Faculty of Mathematics and Computer Science Saarland University Campus E1.7 Saarbrücken66041 Germany

Digital image inpainting refers to techniques used to reconstruct a damaged or incomplete image by exploiting available image information. The main goal of this work is to perform the image inpainting process from a set of sparsely distributed image samples with the Smoothed Particle Hydrodynamics (SPH) technique. As, in its naive formulation, the SPH technique is not even capable of reproducing constant functions, we modify the approach to obtain an approximation which can reproduce constant and linear functions. Furthermore, we examine the use of Voronoi tessellation for defining the necessary parameters in the SPH method as well as selecting optimally located image samples. In addition to this spatial optimization, optimization of data values is also implemented in order to further improve the results. Apart from a traditional Gaussian smoothing kernel, we assess the performance of other kernels on both random and spatially optimized masks. Since the use of isotropic smoothing kernels is not optimal in the presence of objects with a clear preferred orientation in the image, we also examine anisotropic smoothing kernels. Our final algorithm can compete with well-performing sparse inpainting techniques based on homogeneous or anisotropic diffusion processes as well as with exemplar-based *** Codes 68U10 (Primary) 65D18, 76M28, 94A08 (Secondary) Copyright © 2020, The Authors. All rights reserved.

关键词： Hydrodynamics

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Workshop Report: Information Visualization–Human-centered Issues in Visual Representation, Interaction, and Evaluation

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Information Visualization 2007年第3期6卷 189 - 196页

作者： Andreas Kerren John T. Stasko Jean-Daniel Fekete Chris North Computer Science Department School of Mathematics and Systems Engineering (MSI) Växjö University äxjö Sweden School of Interactive Computing & GVU Center Georgia Institute of Technology Atlanta GA U.S.A. INRIA Unité de Recherche Futurs Université Paris-Sud Orsay Cedex France Department of Computer Science and Center for Human–Computer Interaction Virginia Tech Blacksburg VA U.S.A.

From 28 May to 1 June 2007, a seminar on ‘Information Visualization–Human-centered Issues in Visual Representation, Interaction, and Evaluation’ took place at the International Conference and Research center for computer science, Dagstuhl Castle, Germany. One important aim of this seminar was to bring together researchers and practitioners from Information Visualization and related fields, as well as from application areas, for lively discussion and interaction. The seminar allowed critical reflection on actual research efforts, the state of field, evaluation challenges, and other important topics. This report summarizes the event.

关键词： Information visualization visualization human-centered aspects evaluation visual analytics interaction exploration human–computer interaction

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Workshop report: Information visualization-human-centered issues in visual representation, interaction, and evaluation

Workshop report: Information visualization-human-centered is...

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作者： Kerren, Andreas Stasko, John T Fekete, Jean-Daniel North, Chris Växjö University Växjö Sweden School of Interactive Computing GVU Center Georgia Institute of Technology Atlanta GA United States INRIA Unité de Recherche Futurs Université Paris-Sud Orsay Cedex France Department of Computer Science Center for Human-Computer Interaction Virginia Tech. Blacksburg VA United States Växjö University Vejdes Plats 7 Växjö SE-351 95 Sweden

From 28 May to 1 June 2007, a seminar on Information Visualization-Human- centered Issues in Visual Representation, Interaction, and Evaluation took place at the International Conference and Research center for computer science, Dagstuhl Castle, Germany. One important aim of this seminar was to bring together researchers and practitioners from Information Visualization and related fields, as well as from application areas, for lively discussion and interaction. The seminar allowed critical reflection on actual research efforts, the state of field, evaluation challenges, and other important topics. This report summarizes the event. © 2007 Palgr aveMacmillan Ltd. All rights reserved.

关键词： Information systems

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Advanced Geometric Approach for graphics and Visual Guided Robot Object Manipulation

Advanced Geometric Approach for Graphics and Visual Guided R...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： D. Hildenbrand E. Bayro-Corrochano J. Zamora Interactive Graphics Systems Group Darmstadt Germany Computer Science Department Centro de Investigación y de Estudios Avanazados del Instituto Politécnico Nacional Guadalajara Jalisco Mexico

This paper presents an approach to deal with standard tasks of computer animations and robotics based on Conformal Geometric Algebra. We will show that this algebra is very well suitable for applications of all kind of robot manipulator kinematics, representation and visualization and object robot manipulation. Due to its geometric intuitiveness and simplicity Conformal Geometric Algebra appears to be a promising mathematical tool for building intelligent man-machine interfaces.

关键词： Algebra computer graphics Animation Application software Manipulators Kinematics Visualization Intelligent robots Intelligent structures User interfaces

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