INTELLIGENT SYSTEMS Edited by Vladimir Mikhailovich Koleshko Intelligent Systems Edited by Vladimir Mikhailovich Koleshko Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. As for readers, this license allows users to download, copy and build upon published chapters even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Gorana Scerbe Technical Editor Teodora Smiljanic Cover Designer InTech Design Team First published February, 2012 Printed in Croatia A free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from orders@intechweb.org Intelligent Systems, Edited by Vladimir Mikhailovich Koleshko p. cm. ISBN 978-953-51-0054-6 Contents Preface IX Chapter 1 Intelligent Systems in Technology of Precision Agriculture and Biosafety 3 Vladimir M. Koleshko, Anatolij V. Gulay, Elena V. Polynkova, Viacheslav A. Gulay and Yauhen A. Varabei Chapter 2 Knowledge Management in Bio-Information Systems 37 Kuodi Jian Chapter 3 Efficiency of Knowledge Transfer by Hearing a Conversation While Doing Something 67 Eiko Yamamoto and Hitoshi Isahara Chapter 4 Algorithm Selection: From Meta-Learning to Hyper-Heuristics 77 Laura Cruz-Reyes, Claudia Gómez-Santillán, Joaquín Pérez-Ortega, Vanesa Landero, Marcela Quiroz and Alberto Ochoa Chapter 5 Experiences and Obstacles in Industrial Applications of Intelligent Systems 103 Leonardo M. Reyneri and Valentina Colla Chapter 6 Intelligent Problem Solvers in Education: Design Method and Applications 121 Nhon Van Do Chapter 7 Logic of Integrity, Fuzzy Logic and Knowledge Modeling for Machine Education 149 Fatma Khanum Bunyatova Chapter 8 Morphosyntactic Linguistic Wavelets for Knowledge Management 167 Daniela López De Luise VI Contents Chapter 9 Intelligent Distributed eLearning Architecture 185 S. Stoyanov, H. Zedan, E. Doychev, V. Valkanov, I. Popchev, G. Cholakov and M. Sandalski Chapter 10 Analysis of Fuzzy Logic Models 219 Beloslav Riečan Chapter 11 Recognition and Resolution of “Comprehension Uncertainty” in AI 245 Sukanto Bhattacharya and Kuldeep Kumar Chapter 12 Intelligent Systems in Cartography 257 Zdena Dobesova and Jan Brus Chapter 13 Intelligent Expert System for Protection Optimization Purposes in Electric Power Distribution Systems 277 Ivan N. da Silva, Nerivaldo R. Santos, Lucca Zamboni, Leandro N. Soares, José A. C. Ulson, Rogério A. Flauzino, Danilo H. Spatti, Ricardo A. S. Fernandes, Marcos M. Otsuji and Edison A. Goes Chapter 14 Intelligent Analysis of Utilization of Special Purpose Machines for Drilling Operations 297 Majid Tolouei-Rad Chapter 15 Intelligent Biosystems and the Idea of the Joint Synthesis of Goals and Means 321 Pavel N. Prudkov Chapter 16 Innovative Intelligent Services for Supporting Cognitively Impaired Older Adults and Their Caregivers 343 Anelia Mitseva, Sofoklis Kyriazakos, Antonis Litke, Paolo Barone, Alessandro Mamelli, Nikolaos Papadakis and Neeli R. Prasad Preface Human progress is characterized by passing through information innovation intelligent society at present. Machines (systems) produced by the genius of man in the near future will not only be smarter than a man, but will also exceed its intelligent mind. Intelligent machines will be of different sizes, shapes and functionality, equipped with an initial program (technogene), and their ability to learn and perform operations will not only depend on the technogene, but also on what the machines will be trained for. All of this is conditioned by the intellectualization of all systems and technological processes that humankind realizes, using the paradigm of developing by which everything must become sensory and motoric, with the ability to make decisions. Smart machines help people to not only make use of their own intellect, but to also grow smarter themselves. Intelligent systems are able to self-train, make their own decisions to support management activities in financial institutions, economics, energetics, logistics, industrial, commercial and social systems, remotely piloted satellite monitoring systems of the broad-spectrum application and communication systems with remote distribution of intelligence for improvement of reliability of an intelligent system in whole. In addition to that, they can also be used for governing a state, control of a holding company, a concern or a firm, as well as for early recognition and prediction of sustainability and prolongation of life, for achieving the maximum increase of functional creative and cognitive human life activity and supporting personal and social safety. Intelligent systems can be used as authoritative advisers/consultants for all sorts of questions, but will also be able to solve a large number of incipient problems that are a result of human interference, can acquire new knowledge operating with semantic, pragmatic, heuristic and hyper-heuristic features of intelligent information in the process of generating and approximating to a functional model of natural intelligence. They can also produce adaptive, self-learning, self-organizing cognitive systems making it possible to disclose new secrets of nature and produce even more intelligent devices, machines, technologies and productions. An intelligent system is an automatic or automated system with a possibility of internal and external sensing, based on using artificial intelligence, and includes the following features: X Preface Self-learning – being able to not only execute underlying and designed-in functions and programs, but also have the ability to adapt them according to the task assigned Self-organization – an ability to change its structure and architecture according to the task assigned, or for the purpose of improvement in the process of self- learning, self-diagnostics and self-preservation Capability of solving problems that standard methods and/or solution algorithms can not solve or are unknown For the first time, the research presented in this book is that of scientists from many countries, like Argentina, Australia, Belarus, Brazil, Bulgaria, Czech Republic, Denmark, India, Iran, Italy, Japan, Greece, Mexico, Portugal, Russia, Slovakia, United Kingdom, USA and Vietnam. It will be useful to a wide range of readers, especially students, young scientists, engineers and businessmen/investors taking a great interest in innovations in the future. Prof. Vladimir Mikhailovich Koleshko Belarussian National Technical University, Mechanical Engineering Faculty, Department of Intelligent Systems, Minsk, The Republic of Belarus . INTELLIGENT SYSTEMS Edited by Vladimir Mikhailovich Koleshko Intelligent Systems Edited by Vladimir Mikhailovich. orders@intechweb.org Intelligent Systems, Edited by Vladimir Mikhailovich Koleshko p. cm. ISBN 978-953-51-0054-6 Contents Preface IX Chapter 1 Intelligent Systems