ADVANCES IN INFORMATION PROCESSING AND PROTECTION (HB). Questo articolo non è disponibile.
Lingua: inglese
Editore: SP SPRINGER, 2007
- Rilegato
- Nuovo

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Codice articolo CBS 9780387731360
- Titolo
- ADVANCES IN INFORMATION PROCESSING AND PROTECTION (HB)
- Autore
- PEJAS J.
- Editore
- SP SPRINGER
- Anno di pubblicazione
- 2007
- Condizione
- New
- Rilegatura
- Rilegato
- Lingua
- inglese
- ISBN 10
- 0387731369
- ISBN 13
- 9780387731360
- Edizione
- Edizione Internazionale
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
This book contains a selection of the best papers given at the international Advanced Computer Systems Conference in October 2006 in Miedzyzdroje, Poland. Combining research areas from both Computer Science and Industrial Management, the book is partitioned into four topical areas:
Artificial Intelligence
Computer Security and Safety
Image Analysis, Graphics and Biometrics
Computer Simulation and Data Analysis
The Artificial Intelligence section considers results of the science and engineering of making intelligent algorithms and computer programs. This section includes papers on Humatronics, Fuzzy Logic, Robotics, Cell, Genetic and Probabilistic Algorithms, Incomplete Data and Similarity Relations, and Fast Neural Networks.
The Computer Security and Safety section covers a wide range of issues, including Error Detection in Block Ciphers, Parallelization of Encryption Algorithms, Visual Cryptography Methods, Neural Network for Building Programmable Block Ciphers, Security and Safety in Distributed Computing Environments, and Chaotic Product Cipher.
The Image Analysis, Graphics and Biometrics section deals with difficult tasks studying the extraction of meaningful information from images as well as methods for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits. Included are chapters dealing with Word Recognition, Signature Identification, Fingerprint Recognition, and Biometric Image Pre-classification.
The Computer Simulation and Data Analysis section concerns computer programs that attempt to simulate an abstract model of a particular system and transform data with the aim of extracting useful information and facilitating conclusions. It includes papers devoted to Processor Utilization on Multi-Processor Systems, Computer-based Training Systems for Operators of Dynamic Objects, Linked Computer Servers, Loops Parallelization in the .NET Environment to be used for simulation purposes, and related topics.
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