Collection of selected, peer reviewed papers from the 2014 3rd International Conference on Intelligent Materials and Mechanical Engineering (MEE 2014), May 24-25, 2014, Guangzhou, China. The 60 papers are grouped as follows: Chapter 1: Intelligent Systems and Control Systems, Chapter 2: Intelligent Technologies and Design in Mechanics and Manufacturing Technological Processes, Chapter 3: Materials Science and Processing, Chapter 4: Environmental and Chemistry Engineering, Chapter 5: Applied Technologies, Networks and Information Engineering, Chapter 6: Computation Methods and Algorithms for Modeling, Simulation and Optimization, Data Mining and Data Processing

In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.

This book is a collection of selected papers submitted to the 2022 International Conference on Intelligent Systems Design and Engineering Applications organized in Tokyo, Japan, May 13-15, 2022 (ISDEA2022). The book is organized according to the conference’s five major themes, including 1) Theory and Application of Intelligent Computing, 2) Intelligent Information System and Management Decision, 3) Artificial Intelligence and Robots, 4) Mechanical design and intelligent manufacturing and 5) Intelligent control and detection technology. ISDEA establishes a platform for researchers and scholars working in the field of intelligent systems design and engineering applications to present their newest research results, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel design and systems.

Annotation Collection of selected, peer reviewed papers from the 2013 International Conference on Mechanical Engineering and Applied Mechanics (MEAM 2013), December 21-22, 2013, Wuhan, China. The 57 papers are grouped as follows: Chapter 1: Research and Design Works in Mechanical Engineering, Chapter 2: Materials and Chemical Technologies, Chapter 3: Control, Intelligent Systems and Information Technology.

Presents the philosophy, methodology, techniques, and applications of IDIS for engineering design. Looks at recent research, and details a five-step problem-solving strategy of problem definition, conceptual design, parameter design, design analysis, and design evaluation. Describes industrial applications of IDIS, including the design of a mechanical transmission, a heat exchanger network, and a process control system. For graduate courses on engineering design, artificial intelligence, and computer integrated manufacturing. No index. Annotation copyrighted by Book News, Inc., Portland, OR

The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Intelligent technical systems, which combine mechanical, electrical and software engineering with control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. Self-optimizing systems create high value for example in terms of energy and resource efficiency as well as reliability. The Collaborative Research Center 614 "Self-optimizing Concepts and Structures in Mechanical Engineering" pursued the long-term aim to open up the active paradigm of self-optimization for mechanical engineering and to enable others to develop self-optimizing systems. This book is directed to researchers and practitioners alike. It provides a design methodology for the development of self-optimizing systems consisting of a reference process, methods, and tools. The reference process is divided into two phases the domain-spanning conceptual design and the domain-specific design and development. For the conceptual design a holistic approach is provided. Domain-specific methods and tools developed especially for the design and development of self-optimizing systems are described and illustrated by application examples. This book will enable the reader to identify the potential for self-optimization and to develop self-optimizing systems independently.