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proceedings of the IEEE international conference on Engineering of Complex Computer Systems, ICECCS

Proceedings of the IEEE International Conference on Engineer...

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8th IEEE international conference on Engineering of Complex Computer Systems, ICECCS 2002

ISBN: (纸本)0769517579

the proceedings contain 26 papers. the topics discussed include: validating run-time interactions in distributed java applications;reasoning about asynchronous behavior in distributed systems;a framework for performability modeling of messaging services in distributed systems;efficient reachability testing of asynchronous message-passing programs;capturing complete and accurate requirements by refinement;mechanization of a proof of string-preprocessing in Boyer-Moore's pattern matching algorithm;composability for software components: an approach based on the whole-part theory;using aspects to design a secure system;a light-weight process for capturing and evolving defect reduction experience;interclass testing of object oriented software;and Mars Polar Lander fault identification using model-based testing.

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8th international conference on Extending Database Technology, EDBT 2002

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8th international conference on Extending Database Technology, EDBT 2002

ISBN: (纸本)3540433244

the proceedings contain 58 papers. the special focus in this conference is on Query Transformation and Data Mining. the topics include: Infrastructure for the information space;a reason-able web ontology language;plenty of challenges by 2010;an approach to integrating query refinement in SQL;querying with intrinsic preferences;rewriting unions of general conjunctive queries using views;from patterns to actions;cut-and-pick transactions for proxy log mining;composition of mining contexts for efficient extraction of association rules;designing functional dependencies for XML;on efficient matching of streaming XML documents and queries;efficient complex query support for multiversion XML documents;approximate processing of multiway spatial joins in very large databases;indexing values in continuous field databases;efficient and adaptive processing of multiple continuous queries;the geometry of uncertainty in moving objects databases;efficient indexing of spatiotemporal objects;dynamic queries over mobile objects;semantic analysis of business process executions;an introduction to the e-XML data integration suite;spatio-temporal information systems in a statistical context;a systematic approach to selecting maintenance policies in a data warehouse environment;efficient OLAP Query Processing in Distributed Data Warehouses;incremental maintenance of schema-restructuring views;coupling of FDBS and WfMS for integrating database and application systems;optimizing scientific databases for client side data processing;supporting efficient parametric search of E-commerce data;divide-and-conquer algorithm for computing set containment joins;universal quantification in relational databases;efficient algorithms for mining inclusion dependencies and tree pattern relaxation.

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Evolving cellular automata based associative memory for pattern recognition 8th

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8th international conference on High Performance computing, HiPC 2001

作者： Ganguly, Niloy Das, Arijit Maji, Pradipta Sikdar, Biplab K. Pal Chaudhuri, P. Computer centre IISWBM CalcuttaWest Bengal700073 India Botanic Garden HowrahWest Bengal711103 India

ISBN: (纸本)3540430091

this paper reports a Cellular Automata (CA) model for pattern recognition. the special class of CA, referred to as GMACA (Generalized Multiple Attractor Cellular Automata), is employed to design the CA based associative memory for pattern recognition. the desired GMACA are evolved through the implementation of genetic algorithm (GA). An efficient scheme to ensure fast convergence of GA is also reported. Experimental results confirm the fact that the GMACA based pattern recognizer is more powerful than the Hopfield network for memorizing arbitrary patterns. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Cellular automata

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8th international conference on High Performance computing, HiPC 2001

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8th international conference on High Performance computing, HiPC 2001

ISBN: (纸本)3540430091

the proceedings contain 37 papers. the special focus in this conference is on Keynote Address and Algorithms. the topics include: Stability issues in heterogeneous and FIFO networks under the adversarial queueing model;mesh algorithms for multiplication and division;compact routing in directed networks with stretch factor of two;parametric scheduling;an efficient algorithm for computing lower bounds on time and processors for scheduling precedence graphs on multicomputer systems;on job scheduling for HPC-clusters and the dynP scheduler;an adaptive scheme for fault-tolerant scheduling of soft real-time tasks in multiprocessor systems;learning from the success of MPI;gyrokinetic simulations of plasma turbulence on massively parallel computers;a parallel krylov-type method for nonsymmetric linear systems;evolving cellular automata based associative memory for pattern recognition;efficient parallel algorithms and software for compressed octrees with applications to hierarchical methods;a case study of improving memory locality in polygonal model simplification;high-performance scalable java virtual machines;shared virtual memory clusters with next-generation interconnection networks and wide compute nodes;stream-packing;a multithreading technique towards latency-tolerant VLIW processors;putting data value predictors to work in fine-grain parallel processors;confidence estimation for branch prediction reversal;retargetable program profiling using high level processor models;towards automatic synthesis of high-performance codes for electronic structure calculations;block asynchronous I/O;operating system support for optimistic parallel discrete event simulation;low-cost garbage collection for causal message logging and improving the precise interrupt mechanism of software-managed TLB miss handlers.

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A distributed scheme for lexicon-driven handwritten word recognition and its application to large vocabulary problems 6

A distributed scheme for lexicon-driven handwritten word rec...

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6th international conference on Document Analysis and recognition, ICDAR 2001

作者： Koerich, Alessandro L. Sabourin, Robert Suen, Ching Y. Lab. d'Imagerie de Vision et d'Intelligence Artificielle École de Technologie Supérieure MontréalH3C 1K3 Canada Centre for Pattern Recognition and Machine Intelligence Concordia University MontréalH3G 1M8 Canada

ISBN: (纸本)0769512631

Many off-line handwritten word recognition systems have been proposed since the early nineties. Most systems reported high recognition rates, however, they overlooked a very important factor in the process;speed factor. In this paper we explore the potential for speeding up an off-line handwritten word recognition system via concurrency. the goal of the system is to achieve both full accuracy and high speed when taking into account large vocabularies. this has been accomplished by integrating the recognition process with multiprocessing and distributed computing concepts. Experimental results showed that the multiprocessing environment is very promising in enhancing a sequential off - line handwritten word recognition system performance. © 2001 IEEE.

关键词： Distributed computer systems

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CID/DRAM mixed-signal parallel distributed array processor

CID/DRAM mixed-signal parallel distributed array processor

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Annual IEEE international ASIC/SOC conference

作者： R. Genov G. Cauwenberghs The Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

Presents a mixed-signal distributed VLSI architecture for massively parallel array processing, with fine-grain embedded memory. the three-transistor processing element in the array combines a charge injection device (CID) binary multiplier and analog accumulator with embedded dynamic random-access memory (DRAM). A prototype 512/spl times/128 vector-matrix multiplier on a single 3 mm/spl times/3 mm chip fabricated in standard CMOS 0.5 /spl mu/m technology achieves 8-bit effective resolution and dissipates 0.5 pJ per multiply-accumulate.

关键词： Random access memory Array signal processing Silicon Concurrent computing throughput Very large scale integration CMOS technology Bandwidth Computer vision pattern recognition

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Bogs: surface patterns and pattern classification

Bogs: surface patterns and pattern classification

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8th international conference on Development and Application of Computer Techniques to Environmental Studies

作者： thompson, C Lindsay, R Hochleitner, F Teixeira, B Popolo, FC Computing Department Universidade da Cidade Brazil Environmental Science Department East London University London United Kingdom Mechanical Engineering Department Universidade Federal Fluminense Brazil

ISBN: (纸本)1853128198

pattern recognition and classification has so far remained a largely unexplored area of peat-land science. the objective of this work is to classify the surface patterns displayed on an aerial photo of Kentra Moss, a bog (mire) in Western Scotland, UK. the computer experiments reported in this research present the attributes of image textures calculated using statistical texture measures, e.g., mean, variance, skewness, kurtosis, and entropy. Insignificant attributes are eliminated by using statistical techniques. On the other hand the clusters are obtained by calculating the Euclidean distances among all exemplars. the importance of this work is the provision of an objective method for classifying mire surface patterns, much needed but so far not available.

关键词： pattern recognition

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Grouping of directional features using an extended Hough transform

Grouping of directional features using an extended Hough tra...

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international conference on pattern recognition

作者： M.J. Carreira M. Mirmehdi B.T. thomas J.F. Haddon Department Electronics & Computer Science University of Santiago de Compostela Spain Department of Computer Scencs University of Bristol UK DERA Farnborough Hampshire UK

ISBN: (纸本)0769507506

Directional features extracted from Gabor responses are used as primitives for perceptual grouping. In previous work, we extracted Gabor features in 8 directions and then applied two self-organising maps, thus classifying each pixel in the image within a neuron-map, each corner of which represents one of four main directions. In this work we group pixels with similar directional features to detect salient structures within an image. Results obtained from application to forward-looking infrared (FLIR) images are very promising.

关键词： Pixel Neurons Computer science Feature extraction Computer vision Application software Parallel processing Humans Concurrent computing Machine vision

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On the design issue of intelligent electronic nose system

On the design issue of intelligent electronic nose system

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IEEE international conference on Industrial Technology (ICIT)

作者： A.K. Srivastava S.K. Srivastava K.K. Shukla Centre For Research In Microelectronics Departnient of Electronics Engineering Institute of Technology Banaras Hindu University Varanasi India Visual Computing and Artificial Intelligence Laboratories Department of Computer Engineering Institute of Technology Banaras Hindu University Varanasi India

Intelligent electronic nose (ENOSE) system technology is gaining importance in several industrial applications. these include process control and quality control in industries such as foodstuffs, beverages, tobacco, perfumery and pharmaceutical. ENOSE is also crucial component in industrial safety (smoke and hazardous gas detection) as well as environmental pollution control. this paper deals with design of an intelligent ENOSE system for the identification of gas/odours using a sensor array and a neural network pattern classifier. Previous researchers have shown that the power of discrimination increases rapidly with the number of sensors in the array whose information potential is very large and the pattern recognition (PARC) method is a clever way to extract this information. the authors show in this paper with the powerful PARC technique, the need of larger array can be compensated. With this view, they design a neural classifier using two different learning approaches and train the network over the responses of surface acoustic wave (SAW) sensors exposed to hazardous vapours like diethyl sulphide (DES) and iso-octane (ISO). Dimensionality of the data set is varied from 1 to 8 by taking different number of sensors. It is found that for a backpropagation trained neural classifier, the optimum number of sensors required for satisfactory classification under noisy conditions is 4 to 5. this is a very limited range beyond which backpropagation has great difficulty in training the neural classifier even with repeated restarts and different weight initializations. To alleviate this problem, hybridization of soft computing tools like neural networks and genetic algorithms promises to provide the design of better intelligent system. the authors propose the use of a genetic algorithm based on a special MRX operator introduced by them and demonstrate very encouraging results with genetically trained neural network model even with larger as well as smaller numbers of senso

关键词： Intelligent systems Electronic noses Sensor arrays Intelligent sensors Electrical equipment industry Neural networks Acoustic sensors Industrial control Intelligent networks Surface acoustic waves

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Whole word recognition in facsimile images 5

Whole word recognition in facsimile images

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5th international conference on Document Analysis and recognition, ICDAR 1999

作者： Sherkat, N. Allen, T.J. Department of Computing Nottingham Trent University Burton Street NottinghamNG1 4BU United Kingdom

ISBN: (纸本)0769503187

this paper presents the research carried out in producing a whole recognizor for cursive handwritten words in facsimile images. Two sets of handwritten data samples are collected and converted into facsimile images. the first set comprises approximately 1600 word images from 8 writers and is used for development purposes. the second set consists of approximately 2000 word images from 10 writers. this set is used for testing only. the algorithms for extraction of holistic features namely, vertical bars, holes and cups used in the recognizor are described. A series of test are carried out and the results are presented using a 200 word lexicon. the holistic recognizor produced 62% top rank and 82% in top 5 alternatives. When a lexicon of 1000 words was used these values reduced to 49% and 70% respectively. the future directions of the research for improvement of recognition rate are proposed. It is envisaged that definition of further features would improve the overall accuracy. © 1999 IEEE.

关键词： Facsimile

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