Advances in Computational Algorithms and Data Analysis

ISBN-13: 9781402089183 / Angielski / Twarda / 2008 / 588 str.

Sio-Iong Ao; Burghard Rieger; Su-Shing Chen

Opis

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The selected articles are representative in these subjects sitting on the top-end-high technologies. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.

Recenzje

From the reviews:

"Computational science is concerned with designing computing models and techniques, and using computers to analyze and solve scientific and engineering problems. ... The book presents the collected papers of a conference organized by the International Association of Engineers ... . As with many conference-paper collections, the book seems to be geared toward scientists already armed with a general understanding of the topic. ... a researchers in a specific field will have no difficulty following a particular paper or subset of papers." (Stefan Robila, ACM Computing Reviews, February, 2009)

Spis treści

1. Scaling Exponent for the Healthy and Diseased Heartbeat 2. CLUSTAG & WCLUSTAG: Hierarchical Clustering Algorithms for Efficient Tag-Snp Selection 3. The Effects of Gene Recruitment on the Evolvability and Robustness of Pattern-Forming Gene Networks 4. Comprehensive Genetic Database of Expressed Sequence Tags for Coccolithophorids 5. Hybrid Intelligent Regressions With Neural Network and Fuzzy Clustering 6. Design Of DroDeASys (Drowsy Detection and Alarming System) 7. The Calculation Of Axisymmetric Duct Geometries For Incompressible Rotational Flow With Blockage Effects and Body Forces 8. Fault Tolerant Cache Schemes 9. Reversible Binary Coded Decimal Adders Using Toffoli Gates 10. Sparse Matrix Computational Techniques In Concept Decomposition Matrix Approximation 11. Transferable E-Cheques: An Application Of Forward-Secure Serial Multi-signatures 12. A Hidden Markov Model Based Speech Recognition Appraoch To Automated Cryptanalysis Of Two Time Pads 13. A Reconfigurable And Modular Open Architecture Controller: The New Frontiers 14. An Adpative Machine Vision System For Parts Assembly Inspection 15. Tactile Sensing-Based Control System For Dexterous Robot Manipulation 16. A Novel Kinematic Model for Rough Terrain Robots 17. Behavior Emergence In Autonomous Robot Control By Means Of Evolutionary Neural Networks 18. Swarm Economics 19. Machines Imitating Humans 20. Reinforced ART (ReART) For Online Neural Control 21. The Bump Hunting By The Decision Tree With The Genetic Algorithm 22. Machine Learning Approaches For The Inversion Of The Radiative Transfer Equation 23. Enhancing The Performance Of Entropy Algorithm Using Minimum Tree In Decision Tree Classifier 24. Numerical Analysis Of Large Diameter Butterfly Valve 25. Axial Crushing Of Thin-Walled Columns With Octagonal Section: Modeling And Design 26. A Fast State Estimation Method For DC Motors 27. Flatness Based GPI Control For Flexible Robots 28. Estimation Of Mass-Spring-Dumper Systems 29. MIMO PID Controller Synthesis With Closed-Loop Pole Assignment 30. Robust Design Of Motor PWM Control Using Modeling And Simulation 31. Modeling, Control And Simulation Of A Novel Mobile Robotic System 32. All Circuits Enumeration In Macro-Econometric Models 33. Noise And Vibration Modeling For Anti-Lock Brake Systems 34. Investigation Of Single Phase Approximation And Mixture Model On Flow Behaviour And Heat Transfer Of A Ferrofluid Using CFD Simulation 35. Two Level Parallel Grammatical Evolution 36. Genetic Algorithms For Scenario Generation In Stochastic Programming 37. New Approach Of Recurrent Neural Network Weight Initialization 38. GAHC: Hybrid Genetic Algorithm 39. Forecasting Inflation With The Influence Of Globalization Using Artificial Neural Network-Based Thin And Thick Models 40. Pan-Tilt Motion Estimation Using Superposition-Type Spherical Compound-Like Eye

Blurb

Advances in Computational Algorithms and Data Analysis contains revised and extended research articles written by prominent researchers participating in a large international conference on Advances in Computational Algorithms and Data Analysis, which was held in UC Berkeley, California, USA, under the World Congress on Engineering and Computer Science by the International Association of Engineers (IAENG). IAENG is a non-profit international association for the engineers and the computer scientists, found originally in 1968. The book covers a variety of subjects in the frontiers of computational algorithms and data analysis, including topics like Expert system, Machine learning, Intelligent Decision Making, Fuzzy systems, Knowledge-based systems, Knowledge extraction, Large database management, Data analysis tools, Computational Biology, Optimization algorithms, Experiment designs, Complex system identification, Computational Modelling , and industrial applications.

Advances in Computational Algorithms and Data Analysis offers the states of arts of tremendous advances in computational algorithms and data analysis. The selected articles are representative in these subjects sitting on the top-end-high technologies. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.