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OCEANS

作者： K. Plakas E. Trucco Computer Vision Group and Ocean Systems Laboratory Department of Computing and Electrical Engineering Heriot-Watt University UK

Tracking targets robustly in video sequences is a basic component for several image processing applications, including mosaicing, stabilisation and shape/structure reconstruction from motion. The authors present recent developments of their work on a real-time video tracker, capable of tracking 30-50 feature points at 10-20 frames per second (depending on parameter settings) on a standard PC platform. Examples of tracking results with real mission sequences as well as laboratory tank data are shown. They also illustrate some applications where their real-time tracker has been successfully embedded in larger systems.

关键词： Robustness Feature extraction Target tracking computer vision Underwater tracking Laboratories Application software Oceans Shape Image reconstruction

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An efficient algorithm for the physical mapping of clustered task graphs onto multiprocessor architectures

An efficient algorithm for the physical mapping of clustered...

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Euromicro Workshop on Parallel and Distributed Processing

作者： N. Koziris M. Romesis P. Tsanakas G. Papakonstantinou Department of Electrical and Computer Engineering Computer Science Division Computing Systems Laboratory National and Technical University of Athens Zografou Greece

The most important issue in sequential program parallelisation is the efficient assignment of computations into different processing elements. In the past, too many approaches were devoted in efficient program parallelization considering various models for the parallel programs and the target architectures. The most widely used parallelism description model is the task graph model with precedence constraints. Nevertheless, as far as physical mapping of tasks onto parallel architectures is concerned little research has given practical results. It is well known that the physical mapping problem is NP-hard in the strong sense, thus allowing only for heuristic approaches. Most researchers or tool programmers use exhaustive algorithms, or the classical method of simulated annealing. This paper presents an alternative approach onto the mapping problem. Given the graph of clustered tasks, and the graph of the target distributed architecture, our heuristic finds a mapping by first placing the highly communicative tasks on adjacent nodes of the processor network. Once these "backbone" tasks are mapped there is no backtracking, thus achieving low complexity. Therefore, the remaining tasks are placed beginning from those close to the "backbone" tasks. The paper concludes with performance and comparison results which reveal the method's efficiency.

关键词： Clustering algorithms Processor scheduling Network topology computer networks Application software Costs computer architecture computer science Laboratories Electronic mail

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Distributed expertise for teaching computer organization & architecture 00

Distributed expertise for teaching computer organization & a...

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Working Group Reports from 5th Annual Conference on Innovation and Technology in computer Science Education, ITiCSE-WGR 2000

作者： Cassel, Lillian Boots Kumar, Deepak Bolding, Kevin Davies, Jim Holliday, Mark Impagliazzo, John Pearson, Murray Wolffe, Gregory S. Yurcik, William Department of Computing Sciences Villanova University VillanovaPA United States Department of Mathematics and Computer Science Bryn Mawr College Bryn MawrPA United States Department of Electrical Engineering Seattle Pacific University SeattleWA United States Computing Laboratory University of Oxford Oxford United Kingdom Department of Mathematics and Computer Science Western Carolina University CullowheeNC United States Department of Computer Science Hofstra University HempsteadNY United States Department of Computer Science University of Waikato Hamilton New Zealand Department of Computer Science and Information Systems Grand Valley State University AllendaleMI United States Department of Applied Computer Science Illinois State University NormalIL United States

ISBN: (纸本)9781450373586

This report presents preliminary results from our project on creating distributed expertise for teaching computer organization & architecture course(s) in the undergraduate computer science curriculum. We present the details of an online survey designed to gather information from faculty on the current state of teaching this course. The survey also tries to identify specific areas of need for creating distributed expertise as reported by various faculty. We also present several resources that have been identified that are available for use by faculty teaching the course(s). This report represents a mid-point of an ongoing two-year study. Following a discussion of the currently identified needs, we discuss ways to address them and conclude the report with a plan of action that will follow in the next phase of the project.

关键词： Teaching

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The role of multiple, linear-projection based visualization techniques in RBF-based classification of high dimensional data

The role of multiple, linear-projection based visualization ...

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International Joint Conference on Neural Networks (IJCNN)

作者： A. Agogino J. Ghosh S.J. Perantonis V. Virvilis S. Petridis P.J.G. Lisboa Laboratory for Artificial Neural Systems Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA National Center for Scientific Research Demokritos Institute of Informatics and Telecommunications Athens Greece School of Computing and Mathematical Sciences Liverpool John Moores University Liverpool UK

The paper presents a method for the 3D visualization of the structure of radial basis function networks using traditional and novel methods of dimensionality reduction. This method allows the visualization of basis function characteristics (centers and widths) along with second level weights. To facilitate the interpretation of a wide variety of high dimensional problems, several forms of projections into 20 or 30 spaces can be used interactively. The traditional methods of principal component analysis and Fisher's linear discriminant are used as well as a novel linear projection method.

关键词： Data visualization Radial basis function networks Neural networks World Wide Web Bonding Training data Laboratories Informatics Uniform resource locators Telecommunication computing

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Preface

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2000年 1803卷 6-6页

作者： Cagnoni, Stefano Poli, Riccardo Li, Yun Smith, George Corne, David Oates, Martin Hart, Emma Lanzi, Pier Luca Boers, Egbert J. W. Paechter, Ben Fogarty, Terence C. University of Parma Department of Computer Engineering Parco delle Scienze 181/a Parma Italy The University of Birmingham School of Computer Science Edgbaston Birmingham United Kingdom University of Glasgow Electronics and Electrical Engineering Rankine Building Glasgow United Kingdom University of East Anglia Department of Information Systems Norwich United Kingdom University of Reading P.O. Box 225 Whiteknights Reading United Kingdom BT Labs at Adastral Park Dept. Complex Systems Laboratory Martlesham Heath Suffolk United Kingdom University of Edinburgh Division of Informatics 80 South Bridge Edinburgh United Kingdom Milan Polytechnic Department of Electronics and Informatics Piazza Leonard0 da Vinci 32 Milan Italy National Aerospace Laboratory NLR Data and Knowledge Systems Dept I.C.T. Division Anthony Fokkerweg 2 Amsterdam Netherlands Napier University School of Computing 219 Colinton Road Edinburgh United Kingdom South Bank University School of Computing Information Systems and Mathematics 103 Borough Road London United Kingdom

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CNN Algorithms for Video Authentication and Copyright Protection

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Journal of VLSI signal processing systems for signal, image and video technology 1999年第2期23卷 449-463页

作者： Csapodi, Márton Vandewalle, Joos Preneel, Bart Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences Budapest Hungary ESAT SISTA/COSIC Laboratory Department of Electrical Engineering Katholieke Universiteit Leuven Leuven Belgium

This paper is concerned with the implementation of an image comparison algorithm and cryptographic hash functions on the regular array of cellular neural network (CNN) cells. These operations are necessary for message authentication and copyright protection in the multimedia service environment, serving both the interest of the copyright owner and the user. The basic problems of multimedia protection along with the requirements and role of the different actors in a multimedia service environment are also described here.

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Superconducting processors for HTMT: issues and challenges

Superconducting processors for HTMT: issues and challenges

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Frontiers of Massively Parallel Computation

作者： K.B. Theobald G.R. Gao T.L. Sterling Computer Architecture and Parallel Systems Laboratory Department of Electrical and Computer Engineering University of Delaware Newark DE USA NASA Jet Propulsion Laboratory /Center for Advanced Computing Research California Institute of Technology Pasadena CA USA

The Hybrid Technology Multi-Threading project is a long-term study of the feasibility of combining several emerging technologies to reach 1 petaFLOPS within ten years. HTMT will combine high-speed superconductor processors, semiconductor memories with built-in processors, high-speed optical interconnects, and high-density holographic storage. While there are major challenges in all aspects of this project, those in processor architecture are the focus of this paper. Fundamental differences between RSFQ circuits and conventional semiconductor circuits, including a radical jump in clock speed, make today's processor design approaches inappropriate for HTMT. Sequential instruction dispatching, even within the lowest programming unit (a strand), will lead to unacceptably high latencies, hence poor performance. We propose alternative processor designs which use fine-grain synchronizations between individual instructions in order to avoid these bottlenecks.

关键词： Random access memory Optical buffering Holography Holographic optical components Delay computer architecture Optical interconnections electrical capacitance tomography Quantum computing Clocks

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Invertible operations on a Cellular Neural Network Universal Machine

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International Journal of Circuit Theory and Applications 1999年第6期26卷

作者： Márton Csapodi Joos Vandewalle Tamás Roska Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences P.O. Box 63 H-1502 Budapest Hungary ESAT Laboratory Department of Electrical Engineering Katholieke Universiteit Leuven K. Mercierlaan 94 B-3001 Leuven Belgium

This paper is concerned with the invertibility of parallel operations definable on two-dimensional binary arrays by means of a local Boolean function. In this way, it contributes to the theory of cellular automata and may open new potentialities to cellular neural network applications. We provide a theoretically new approach to the invertibility of two-dimensional additive maps which can be used to obtain detailed information on the behaviour of these operations. Other ways to make invertible operations are also investigated, including local maps which are additive in only one of the terms, and second-order cellular automata. The discussed techniques yield a rich variety of invertible operations on infinite and/or finite two-dimensional binary arrays. When implemented on CNN Universal Chips, all of these operations, performed by TeraOPS speed, become subroutines of a 2D analogic algorithm. These operations can be used in 2D cryptography. © 1998 John Wiley & Sons, Ltd.

关键词： CNN universal machine two-dimensional CA additive maps complementary landscapes

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High speed calculation of cryptographic hash functions by CNN chips

High speed calculation of cryptographic hash functions by CN...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： M. Csapodi J. Vandewalle T. Roska Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary ESAT Laboratory Department of Electrical Engineering Katholieke Universiteit Leuven Leuven Belgium

The paper is concerned with the implementation of cryptographic hash functions on the regular array of simple cellular neural network (CNN) cells with periodic boundary conditions. Cryptographic hash functions enable message origin authentication and validation of message content integrity. A class of cryptographic hash functions-termed Cartesian authentication codes-provide provable (unconditional) security for message authentication between two mutually trustful parties sharing a secret key. We succeeded in implementing existing constructions of Cartesian authentication codes on today's CNN Universal Machine (CNN-UM) chips. Here we prove that rather complex (binary) arithmetic can be performed on a simple CNN chip, by providing an algorithm to implement a specific Cartesian authentication code based on the computation of a polynomial expression over a finite field. The bitrate of the computation is in the 100 Mbit/sec range with existing chips.

关键词： Cryptography Cellular neural networks Message authentication Laboratories Galois fields Automation Boundary conditions Turing machines Arithmetic Bit rate

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Uncalibrated vision for 3-D underwater applications

Uncalibrated vision for 3-D underwater applications

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OCEANS

作者： K. Plakas E. Trucco A. Fusiello Computer Vision Group and Ocean Systems Laboratory Department of Computing and Electrical Engineering Heriot-Watt University USA Dipartimento di Matematica e Informatica Universita di Udine Italy

We present an uncalibrated vision system recovering 3D reconstructions of underwater scenes using no camera calibration at all. The only information available is a set of point correspondences plus some a-priori knowledge on the scene structure. The system includes three main components: a robust tracker, which targets optimal features for video tracking, and implements a completely automatic mechanism for rejecting unstable image features; a module computing a projective reconstruction of the scene from the set of features declared reliable by the tracker; and a module recovering the target Euclidean reconstruction from the projective one, employing a-priori knowledge of the distances between five identifiable scene points. We sketch the design of each component and report experiments with our working implementation on real data sets, collected by cameras immersed in our laboratory tank.

关键词： Layout Cameras Image reconstruction computer vision Target tracking Application software Laboratories Machine vision Calibration Underwater tracking

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