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"In the concluding chapters of this book the author introduces GIM, the Global Intelligent Machine. GIM is a huge global hybrid machine, a combination of production machinery, information machinery and mechanized networks. In the future it may very well encompass all machinery on the globe.The author discusses the development of machines from the Stone Age until the present and pays particular attention to the rise of the science of machines and the development of the relationship between science and technology.The first production and information tools were invented in the Stone Age. In the Agricultural empires tools and machinery became more complex. During and after the Industrial Revolution the pace of innovation accelerated. In the 20th century the mechanization of production, information processing and networks became increasingly sophisticated. GIM is the culmination of this development.GIM is no science fiction. GIM exists and is growing and getting smarter and smarter. Individuals and institutions are trying to control parts of this giant global robot. By looking at its history and by putting GIM in the context of the current developments, this book seeks to reach a fuller understanding of this phenomenon."

"The present volume includes the recent advances in intelligent paradigms and innovative applications such as document processing, language translation, English academic writing, crawling system for web pages, web-page retrieval technique, aggregate k-Nearest Neighbour for answering queries, context-aware guide, recommendation system for museum, meta-learning environment, case-based reasoning approach for adaptive modelling in exploratory learning, discussion support system for understanding research papers, system for recommending e-Learning courses, community site for supporting multiple motor-skill development, community size estimation of internet forum, lightweight reprogramming for wireless sensor networks, adaptive traffic signal controller and virtual disaster simulation system."

"Artikel ini akan mencoba membahas pemecahan masalah penjadwal kuliah dengan pendekatan ilmu Intelegensia Semu (Artificial Intelligence), yakni dengan menggunakan Constrain Satisfaction Problem. Penulis telah merancang dan menguji sebuah teknik baru pencarian solusi dengan intelligent search yang dikombinasikan dengan algoritma Smart Backtracking.Algoritma yang kami kembangkan ini telah dicoba dengan sejumlah studi kasus berskala kecil (7 dosen 7 matakuliah 23 kelas 2 ruang 35 jam perkulaiahan tiap minggu dan lebih dari 1380 mahasiswa) dan menghasilkan output yang diinginkan dalam waktu yang sangat singkat.Percobaan dengan real data (1198 dosen, 1457 matakuliah, 2311 kelas, 122 ruang, 40 jam perkuliahan tiap minggu dan lebih dari 20000 mahasiswa) telah menghasilkan solusi yang baik meskipun tidak dapat mencapai solusi 100% lengkap. Sejumlah constraint terutama yang berkaitan dengan dosesn dan mahasiswa kelas paket seringkali sulit dipenuhi karena adanya sejumlah kelas yang merupakan gabungan beberapa paker (dapat mencapai 12)"

"This book discusses the principle of automotive intelligent technology from the point of view of modern sensing and intelligent control. Based on the latest research in the field, it explores safe driving with intelligent vision; intelligent monitoring of dangerous driving; intelligent detection of automobile power and transmission systems; intelligent vehicle navigation and transportation systems; and vehicle-assisted intelligent technology. It draws on the author’s research in the field of automotive intelligent technology to explain the fundamentals of vehicle intelligent technology, from the information sensing principle to mathematical models and the algorithm basis, enabling readers to grasp the concepts of automotive intelligent technology. Opening up new scientific horizons and fostering innovative thinking, the book is a valuable resource for researchers as well as undergraduate and graduate students."

"This book introduces a new generation of metrological systems and their application in a digital quality concept. It discusses the development of an optimal collision-free measuring path based on CAD geometry and tolerances defined in knowledge base and AI techniques such as engineering ontology, ACO and GA. This new approach, combining both geometric and metrological features, allows the following benefits: reduction of a preparation time based on the automatic generation of a measuring protocol; developed mathematical model for the distribution of measuring points and collision avoidance; the optimization of a measuring probe path; the analysis of a part placement based on the accessibility analysis and automatic configuration of measuring probes. The application of this new system is particularly useful in the inspection of complex prismatic parts with a large number of tolerances, in all of type production. The implementation is demonstrated using several case studies relating to high-tech industries and advanced, non-conventional processes."

"Constitutes the refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. This title features papers that are organized in topical sections on intelligent computing in scheduling; local feature descriptors for image processing and recognition; and, more"

"This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on neural networks, machine learning theory and methods, fuzzy theory and models, fuzzy systems and soft computing, evolutionary learning & genetic algorithms, swarm intelligence and optimization, intelligent computing in computer vision, intelligent computing in image processing, biometrics with applications to individual security/forensic sciences, intelligent image/document retrievals, natural language processing and computational linguistics, intelligent data fusion and information security, intelligent computing in pattern recognition, intelligent agent and web applications, intelligent computing in scheduling, intelligent control and automation."