Optical Computing
Optical Computing

Author: F.A.P Tooley

Publisher: CRC Press

Published: 2020-08-18

Total Pages: 332

ISBN-13: 1000112136

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Written by ten leading experts in the field, Optical Computing cover topics such as optical bistability, optical interconnects and circuits, photorefractive devices, spatial light modulators, associative memory, and optical computer architectures.

2000 4th International Conference on Algorithms and Architectures for Parallel Processing
2000 4th International Conference on Algorithms and Architectures for Parallel Processing

Author: Andrzej Go?ci?ski

Publisher: World Scientific

Published: 2000

Total Pages: 745

ISBN-13: 9810244819

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ICA3PP 2000 was an important conference that brought together researchers and practitioners from academia, industry and governments to advance the knowledge of parallel and distributed computing. The proceedings constitute a well-defined set of innovative research papers in two broad areas of parallel and distributed computing: (1) architectures, algorithms and networks; (2) systems and applications.

Fuzzy Systems and Data Mining IV
Fuzzy Systems and Data Mining IV

Author: A.J. Tallón-Ballesteros

Publisher: IOS Press

Published: 2018-11-06

Total Pages: 990

ISBN-13: 1614999279

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Big Data Analytics is on the rise in the last years of the current decade. Data are overwhelming the computation capacity of high performance servers. Cloud, grid, edge and fog computing are a few examples of the current hype. Computational Intelligence offers two faces to deal with the development of models: on the one hand, the crisp approach, which considers for every variable an exact value and, on the other hand, the fuzzy focus, which copes with values between two boundaries. This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM. The acceptance rate was 32.85% . Offering a state-of-the-art overview of fuzzy systems and data mining, the publication will be of interest to all those whose work involves data science.

Systolic Algorithms
Systolic Algorithms

Author: David J. Evans

Publisher: CRC Press

Published: 1991-01-01

Total Pages: 466

ISBN-13: 9782881248047

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While the architecture of present-day parallel supercomputers is largely based on the concept of a shared memory, with its attendant limitations of common access, advances in semicoductor technology have led to the development of highly parellel computer architectures with decentralized storage and limited connections in which each processor possesses high bandwidth local memory connected to a small number of such architectures, enabling cost-effective high-speed parallel processing for large volumes of data, with ultra-high throughput rates. Algorithms suitable for implementation on systolic arrays find applications in areas such as signal and image processing, pattern matching, linear algebra, recurrence algorithms and graph problems. This book provides an insight into the implementation of systolic arrays and gives a comprehensive overview of the techniques and theories contributing to the design of systolic algorithms.

Optical Information Processing
Optical Information Processing

Author: E. Barrekette

Publisher: Springer Science & Business Media

Published: 2013-12-11

Total Pages: 450

ISBN-13: 1461575451

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This is the second volume on "Optical Information Processing" within the scope of the US-USSR Science Cooperation Program co sponsored by the US National Science Foundation and the USSR Acad emy of Sciences Siberian Branch. Volume I was published in 1976, also by Plenum Press, and con tained the papers presented by a group of US and USSR scientists at the First US-USSR Science Cooperation Seminar "Optical Informa tion Processing" held at the US National Academy of Sciences in Washington, D. C. from 16 to 20 June 1975. The seminar was followed by a series of visits to US scientific research laboratories and universities, to which the visiting USSR scientists were escorted bv Dr. W. E. Kock and Dr. G. W. Stroke. The visits included Bell Laboratories, IBM Thomas J. Watson Research Laboratory and M. I. T. , as reported in detail in the FOREWORD of Volume I. Volume II now presents the papers presented by another group of US and USSR scientists, some having participated in the first seminar: this series of papers was presented at the Second US-USSR Science Cooperation Seminar on "Optical Information Processing" held at the USSR Academy of Sciences Siberian Branch Institute of Auto mation and Electrometry in the famous "science city" of Akademgorodok, near Novosibirsk in Siberia, USSR from 10 to 16 July 1976.

Intelligent Information Processing IV
Intelligent Information Processing IV

Author: Eunikka Mercier-Laurent

Publisher: Springer

Published: 2008-09-18

Total Pages: 277

ISBN-13: 0387876855

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Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing “knowledge pieces” as rather universal objects that should fit to multi-purpose a- ing systems. According to great number of information system’s tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24.