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International Symposium on Modeling, Analysis and Simulation of computer and Telecommunication Systems

作者： Yu, Zhibin Jin, Hai Chen, Jian John, Lizy K. Service Computing Technology and System Lab Huazhong University of Science and Technology Wuhan 430074 China Department of Electrical and Computer Engineering University of Texas at Austin Austin TX 78712 United States

ISBN: (纸本)9780769541976

Many techniques have been developed to accelerate micro-architecture simulation since it is becoming increasingly urgent as the complexity of workloads and simulated processors increases. However, most of popular techniques need profiles or trial simulations to determine parameters before real simulations. When the number of dynamic instructions of workloads such as SPEC CPU2006 is huge, the profiles or trial simulations often take a long time. What's worse, any changes of benchmarks need to repeat the above work. This paper proposes a novel approach based on fractals to solve this problem. It employs the generation procedure of trisection Cantor Set, a classic fractal, to select instructions simulated in detail. We implement a simulator named CantorSim using the trisection Cantor fractal approach. The simulator is evaluated with benchmark programs from SPEC CPU2000 and SPEC CPU2006. We show that our approach is micro-architecture independent as the same parameter value for a single program yields similar results on processors with different configurations. The unified analytical model used to determine sampling parameters for different benchmarks indicates the proposed approach can save a lot of time for preparing parameters. On the other hand, for SPEC CPU2000 and SPEC CPU2006, CantorSim is slightly faster than SMARTSim. The validated average CPI relative errors of the SPEC CPU2000 and SPEC CPU2006 are 3.2% and 2.2% respectively. Therefore, our proposed approach can simplify acceleration of simulations significantly without sacrificing speed and accuracy. © 2010 IEEE.

关键词： computer architecture

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Reports of the AAAI 2010 conference workshops

Reports of the AAAI 2010 conference workshops

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作者： Aha, David W. Boddy, Mark Bulitko, Vadim D'Avila Garcez, Artur S. Doshi, Prashant Edelkamp, Stefan Geib, Christopher Gmytrasiewicz, Piotr Goldman, Robert P. Halevy, Alon Hitzler, Pascal Isbell, Charles Josyula, Darsana Kaelbling, Leslie Pack Kersting, Kristian Kunda, Maithilee Lamb, Luis C. Marthi, Bhaskara McGreggor, Keith Mihalkova, Lilyana Nastase, Vivi Natarajan, Sriraam Provan, Gregory Raja, Anita Ram, Ashwin Riedl, Mark Russell, Stuart Sabharwal, Ashish Smaus, Jan-Georg Sukthankar, Gita Tuyls, Karl Van Der Meyden, Ron Adaptive Systems Section Naval Research Laboratory Washington DC United States Adventium Labs. Minneapolis MN United States Department of Computer Science University of Alberta Canada City University London United Kingdom University of Georgia United States University of Bremen Germany School of Informatics University of Edinburgh United Kingdom University of Illinois Chicago United States Smart Information Flow Technologies LLC Minneapolis MN United States Structured Data Group Google Research United States Department of Computer Science Wright State University Dayton OH United States School of Interactive Computing Georgia Institute of Technology Atlanta GA United States Department of Computer Science Bowie State University United States Department of Computer Science and Engineering Massachusetts Institute of Technology United States Statistical Relational Mining Group Fraunhofer IAIS Germany Department of Computer Science Federal University of Rio Grande Do sul Brazil Willow Garage Inc. CA United States Computer Science Department University of Maryland College Park United States Heidelberg Institute for Theoretical Studies Heidelberg Germany Department of Computer Science University of Wisconsin Madison United States University College Cork Ireland Cork Complex Systems Lab. Ireland Department of Software and Information Systems University of North Carolina Charlotte United States Department of Computer Science and Engineering University of California Berkeley United States Department of Computer Science Cornell University United States Institute for Computational Sustainability United States University of Freiburg Germany School of Electrical Engineering and Computer Science University of Central Florida United States Maastricht University Netherlands University of New South Wales NICTA Australia

The AAAI-10 workshop program was held on July 11-12, 2010, at the Westin Peachtree Plaza in Atlanta, Georgia. The workshop program included 13 workshops covering a wide range of topics in artificial intelligence. There were several presentations on particular formalisms for combining the levels of planning from the perspectives of classical planning, motion planning, POMDPs, search-based planning, and temporal logic-based constraints. Henry Lieberman from Massachusetts Institute of Technology Media laboratory presented work developing a platform for knowledge acquisition and usage from expert users, built upon experience with eliciting information from nonexperts in a collaborative manner. The objective of the AAAI Workshop on Goal-Directed Autonomy (GDA) was to encourage discussion and novel contributions on intelligent agents that can self-select their goals. Jeremy Baxter from QinetiQ focused on user interaction, while Nick Hawes described a goal-directed reasoning framework for controlling a mobile robot.

关键词： Motion planning

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Easy integral surfaces: A fast, quad-based stream and path surface algorithm 09

Easy integral surfaces: A fast, quad-based stream and path s...

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CGI 2009 - computer Graphics International 2009

作者： McLoughlin, Tony Laramee, Robert S. Zhang, Eugene Visual and Interactive Computing Group Department of Computer Science Swansea University United Kingdom School of Electrical Engineering and Computer Science Oregon State University United States

ISBN: (纸本)9781605586878

Despite the clear benefits that stream and path surfaces bring when visualizing 3D vector fields, their use in both industry and for research has not proliferated. This is due, in part, to the complexity of previous construction algorithms. We introduce a novel algorithm for the construction of stream and path surfaces that is fast, simple and does not rely on any complicated data structures or surface parameterization, thus making it suitable for inclusion into any visualization application. We demonstrate the technique on a series of simulation data sets and show that a number of benefits stem naturally from this approach including: easy timelines and timeribbons, easy stream arrows and easy evenly-spaced flow lines. We also introduce a novel interaction tool called a surface painter in order to address the perceptual challenges associated with visualizing 3D flow. The key to our integral surface generation algorithm's simplicity is performing local computations on quad primitives. Copyright © 2009 by the Association for computing Machinery, Inc.

关键词： Data visualization

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EW-PESQ: A quality assessment method for speech signals sampled at 48 kHz

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AES: Journal of the Audio engineering Society 2010年第4期58卷 251-268页

作者： Bispo, Bruno C. Esquef, Paulo A.A. Biscainho, Luiz W.P. De Lima, Amaro A. Freeland, Fabio P. De Jesus, Rafael A. Said, Amir Lee, Bowon Schafer, Ronald W. Kalker, Ton Department of Electrical and Computer Engineering University of Porto Porto Portugal Coordination of Systems and Control National Laboratory for Scientific Computing LNCC/MCT Petrópolis RJ Brazil LPS-PEE/COPPE Federal University of Rio de Janeiro Rio de Janeiro RJ Brazil Nova Iguaçu RJ Brazil Rio de Janeiro RJ Brazil PETROBRAS/E and P Rio de Janeiro RJ Brazil Multimedia Communications and Networking Lab Hewlett-Packard Laboratories Palo Alto CA United States

Extended models of the W-PESQ method are presented which are capable of assessing the subjective quality of noisy speech signals sampled at 48 kHz. Two methods are proposed: a version backward compatible with the W-PESQ standard, called EW-PESQ(E), and another, called EW-PESQ(R), in which the original psychoacoustic models are entirely replaced with alternative formulations available in the literature. Performance figures of both the EW-PESQ(E) and the EW-PESQ(R) in predicting the subjective quality of extrawide-band speech (sampled at 48 kHz) corrupted with broad-band and environmental noise are reported. In both cases the results obtained reveal a strong correlation (approximately 97%) with mean opinion scores.

关键词： Speech communication

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A grid-based approach to formation reconfiguration in cluttered environments 10

A grid-based approach to formation reconfiguration in clutte...

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2009 10th European Control Conference, ECC 2009

作者： Miklic, Damjan Bogdan, Stjepan Fierro, Rafael Electrical and Computer Engineering Department University of New Mexico AlbuquerqueNM87131-0001 United States Faculty of Electrical Engineering and Computing University of Zagreb Zagreb10000 Croatia MARHES Lab Electrical and Computer Engineering Department University of New Mexico AlbuquerqueNM87131-0001 United States

ISBN: (纸本)9783952417393

In this paper, we propose an architecture for formation reconfiguration of a team of autonomous agents navigating within an obstacle-populated environment. Our approach is based on abstracting the agent formation by a rectangular grid. We develop a coordination strategy that ensures collision-free transitions between arbitrarily defined formations. This coordination strategy is based on a well-established control design methodology for manufacturing systems. Group navigation is achieved by integrating a waypoint planner with a novel grid-based formation reconfiguration controller. The proposed hybrid architecture is capable of driving a group of agents through a cluttered environment, while maintaining specified formation constraints. Simulation results verify the validity of our methodology. © 2009 EUCA.

关键词： Autonomous agents

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A discrete grid abstraction for formation control in the presence of obstacles

A discrete grid abstraction for formation control in the pre...

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2009 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Damjan Miklic Stjepan Bogdan Sanjin Nestic Rafael Fierro Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia MARHES Lab Electrical & Computer Engineering Department University of New Mexico Albuquerque NM USA Electrical and Computer Engineering Department University of New Mexico

In this paper we present a formation reconfiguration methodology designed for controlling groups of autonomous agents in environments densely populated with obstacles. Our approach is based on abstracting the group of agents by a discrete rectangular grid. Agent and obstacle positions are mapped onto the formation grid. Then, collision free formation transition trajectories are computed using discrete event scheduling techniques that have been well-established in the manufacturing systems domain. The main contribution of this paper is a unified formation control framework that explicitly takes obstacles into account. Using discrete event system analysis tools we show that our approach guarantees convergence to the desired formation while avoiding obstacles and inter-agent collisions.

关键词： Control systems Robot kinematics Navigation Convergence Multiagent systems Processor scheduling Productivity Robot sensing systems Robust stability Stability analysis

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Rapid radio: A framework for human-assisted signal classification and receiver implementation

Rapid radio: A framework for human-assisted signal classific...

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Jorge Surís Adolfo Recio Peter Athanas Configurable Computing Lab Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

ISBN: (纸本)9781424444946

An analysis-based framework for the rapid development of a radio receiver for signals with unknown parameters is pro-posed, exploiting the reconfiguration capabilities of FPGAs. The framework guides a non-expert user through the process of signal classification and FPGA-based receiver implementation. System efficiency is traded off with implementation time in order to allow fast radio creation. A set of high-level transformations are applied to the unknown signal based on different hypothesis about the modulation scheme. The results of the transformations are presented to the user, who can steer the process of analysis. The parameters of the radio are then mapped by means of an Implementation Engine to modules implemented in a general purpose FPGA-based receiver.

关键词： Pattern classification Receivers Signal analysis Field programmable gate arrays Signal design Prototypes Graphical user interfaces Engines Data mining Phase modulation

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Adverse effects of template-based warping on spatial FMRI analysis

Adverse effects of template-based warping on spatial FMRI an...

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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Ng, Bernard Abugharbieh, Rafeef McKeown, Martin J. Biomedical Signal and Image Computing Lab Department of Electrical and Computer Engineering Vancouver BC V6T 1Z4 Canada The University of British Columbia Vancouver BC V6T 1Z4 Canada

ISBN: (纸本)9780819475138

Conventional voxel-based group analysis of functional magnetic resonance imaging (fMRI) data typically requires warping each subject's brain images onto a common template to create an assumed voxel correspondence. The implicit assumption is that aligning the anatomical structures would correspondingly align the functional regions of the subjects. However, due to anatomical and functional inter-subject variability, mis-registration often occurs. Moreover, wholebrain warping is likely to distort the spatial patterns of activation, which have been shown to be important markers of task-related activation. To reduce the amount of mis-registration and distortions, warping at the brain region level has recently been proposed. In this paper, we investigate the effects of both whole-brain and region-level warping on the spatial patterns of activation statistics within certain regions of interests (ROIs). We have chosen to examine the bilateral thalami and cerebellar hemispheres during a bulb-squeezing experiment, as these regions are expected to incur taskrelated activation changes. Furthermore, the appreciable size difference between the thalamus and cerebellum allows for exploring the effects of warping on various ROI sizes. By applying our recently proposed 3D moment-based invariant spatial features to characterize the spatial pattern of fMRI activation statistics, we demonstrate that whole-brain warping generally reduced discriminability of task-related activation differences. Applying the same spatial analysis to ROIs warped at the region level showed some improvements over whole-brain warping, but warp-free analysis resulted in the best performance. We hence suggest that spatial analysis of fMRI data that includes spatial warping to a common space must be interpreted with caution. © 2009 SPIE.

关键词： Chemical activation

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From blind to quantitative steganalysis

From blind to quantitative steganalysis

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Media Forensics and Security

作者： Pevný, Tomáš Fridrich, Jessica Ker, Andrew D. INPG - Gipsa-Lab. 961 rue de la Houille Blanche 38402 Grenoble France Department of Electrical and Computer Engineering Binghamton University State University of New York United States Oxford University Computing Laboratory Parks Road Oxford OX1 3QD United Kingdom

ISBN: (纸本)9780819475046

Quantitative steganalyzers are important in forensic steganalysis as they can estimate the payload, or, more precisely, the number of embedding changes in the stego image. This paper proposes a general method for constructing quantitative steganalyzers from features used in blind detectors. The method is based on support vector regression, which is used to learn the mapping between a feature vector extracted from the image and the relative embedding change rate. The performance is evaluated by constructing quantitative steganalyzers for eight steganographic methods for JPEG files, using a 275-dimensional feature set. Error distributions of within- and between-image errors are empirically estimated for Jsteg and nsF5. For Jsteg, the accuracy is compared to state-of-the-art quantitative steganalyzers. © 2009 Copyright SPIE - The International Society for Optical engineering.

关键词： Steganography

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IEEE Transactions on Haptics: Editorial

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IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

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