Collection of selected, peer reviewed papers from the 2014 3rd International Conference on Key Engineering Materials and Computer Science (KEMCS 2014), August 5-6, 2014, Singapore. The 57 papers are grouped as follows: Chapter 1: Materials Science and Materials Engineering, Chapter 2: Artificial Intelligence and Data Mining, Data, Image and Signal Processing, Intelligent Automation and Control, Chapter 3: Computer Science and Information Technologies, Chapter 4: Electrical and Magnetoelectric Applications, Chapter 5: Advanced Technologies in Social, Education, Economics, Statistics and Management Applications.

Annotation Collection of selected, peer reviewed papers from the 2014 3rd International Conference on Key Engineering Materials and Computer Science (KEMCS 2014), August 5-6, 2014, Singapore. The 57 papers are grouped as follows: Chapter 1: Materials Science and Materials Engineering, Chapter 2: Artificial Intelligence and Data Mining, Data, Image and Signal Processing, Intelligent Automation and Control, Chapter 3: Computer Science and Information Technologies, Chapter 4: Electrical and Magnetoelectric Applications, Chapter 5: Advanced Technologies in Social, Education, Economics, Statistics and Management Applications.

This reference presents both fundamental and advanced topics and related to Web operations. Using an integrated approach, the authors describe the basics as well as latest trends in the area. They cover agent-based Web, wrapper induction, Web mining, information retrieval, Web knowledge management, and social networks. The text includes a host of examples and over 100 illustrations that clarify complex material. It also contains many bibliographical notes, end-of-chapter exercises, glossaries, and practice questions with solutions/hints.

Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.

Advanced materials are essential for economic security and human well-being, with applications in industries aimed at addressing challenges in clean energy, national security, and human welfare. Yet, it can take years to move a material to the market after its initial discovery. Computational techniques have accelerated the exploration and development of materials, offering the chance to move new materials to the market quickly. Computational Technologies in Materials Science addresses topics related to AI, machine learning, deep learning, and cloud computing in materials science. It explores characterization and fabrication of materials, machine-learning-based models, and computational intelligence for the synthesis and identification of materials. This book • Covers material testing and development using computational intelligence • Highlights the technologies to integrate computational intelligence and materials science • Details case studies and detailed applications • Investigates challenges in developing and using computational intelligence in materials science • Analyzes historic changes that are taking place in designing materials. This book encourages material researchers and academics to develop novel theories and sustainable computational techniques and explores the potential for computational intelligence to replace traditional materials research.

From the nanoscale to the macroscopic scale, intelligent materials are triggering a response across both dimensions and scientific disciplines... World class, leading experts in the fields of chemistry, physics and engineering have contributed to Intelligent Materials, highlighting the importance of smart material science in the 21st century. In this exceptional text the expertise of specialists across the globe is drawn upon to present a truly interdisciplinary outline of the topic. Covering both a bottom-up chemical, and top-down engineering approach to the design of intelligent materials the Editors of the book are bridging a vital gap between various scientific authorities. The influence of current research in this field on future technology is undisputed and potential applications of intelligent materials span nanoscience, nano technology, medicine, engineering, biotechnology, pharmaceutical and many other industries. This is an authoritative introduction to the most recent developments in the area, which will provide the reader with a better understanding of the almost unlimited opportunities in the progress and design of new intelligent materials. An indispensable reference for anyone contemplating working in the field! Comments on this book... "This will be the starting point for all researchers looking for industrial solutions involving smart materials. Congratulations to the Editors for providing such a vast and interdisciplinary book." P.-G de Gennes, France Prix Nobel de Physic 1991

Sustainable materials science and engineering is one of the important characteristics of the existing high-tech revolution. The advances of materials science pave way for technical advancements in materials science and industrial technologies throughout the world. Materials are regarded as critical component in all emerging industries. Exquisite preparation and manufacturing must be carried out before a new material may be used. Nevertheless, electronic materials are undeniably important in many aspects of life. Smart materials and structures is a multi-disciplinary platform dedicated to technical advances in smart materials, systems and structures, including intelligent materials, sensing and actuation, adaptive structures, and active control. Recently, sustainable materials and technologies reshape the electronics industry to build realistic applications. At present, without the impact of sustainability, the electronics industry faces challenges. Researchers are now more focused on understanding the fundamental science of nano, micro, and macro-scale aspects of materials and technologies for sustainable development with a special attention toward reducing the knowledge gap between materials and system designs. The main aim of this international conference is to address the new trends on smart sustainable materials field for industrial and electronics applications. The main purpose of this conference is to assess the recent development in the applied science involving research activity from micro- to macro-scale aspects of materials and technologies for sustainable applications. In such a context, particular emphasis is given to research papers tailored in order to improve electronic and industrial applications and market extension of sustainable materials.

Sensor devices that are flexible and printable have received a lot of interest in recent years. New techniques such as printing and additive manufacturing are being developed to realize a wide range of readily deployable systems such as displays, sensors, and RFID tags. This informative book provides an overview of the smart real-time application of sensors in a variety of intelligent systems and machines. It looks at their diverse applications and uses, their design and architecture, and optimization technologies. Bringing together leading academics, architects, and scientists from across the globe who are experts in this area, the volume looks at new research on sensors in several fields, such as health care, education, smart home technology, security, agriculture, transportation systems, and others.