Xiaolong Li

This book consists of 113 selected papers presented at the 2015 International Conference on Mechanical Engineering and Control Systems (MECS2015), which was held in Wuhan, China during January 23–25, 2015. All accepted papers have been subjected to strict peer review by two to four expert referees, and selected based on originality, ability to test ideas and contribution to knowledge. MECS2015 focuses on eight main areas, namely, Mechanical Engineering, Automation, Computer Networks, Signal Processing, Pattern Recognition and Artificial Intelligence, Electrical Engineering, Material Engineering, and System Design. The conference provided an opportunity for researchers to exchange ideas and application experiences, and to establish business or research relations, finding global partners for future collaborations. The conference program was extremely rich, profound and featured high-impact presentations of selected papers and additional late-breaking contributions. Contents:Mechanical Engineering and Manufacturing TechnologiesAutomation and Control EngineeringCommunication Networking and Computing TechnologiesSignal Processing and Image ProcessingPattern Recognition and Artificial IntelligenceMicro Electromechanical Systems Technology and ApplicationMaterial Science and Material EngineeringSystem Design and SimulationSustainable City and Sustainable Development Readership: Researchers and graduate students interested in mechanical engineering and control systems. Key Features:It is one of the leading international conferences for presenting novel and fundamental advances in the fields of Mechanical Engineering and Control SystemsThe proceedings put together the most up-to-date, comprehensive and worldwide state-of-the-art knowledge in Mechanical Engineering and Control SystemsMany of the articles are the output of research funded by Chinese research agencies, representing the state-of-the-art technologies in Chinese engineering R&DKeywords:Mechanical Engineering;Automation;Computer Networks;Signal Processing;Pattern Recognitions and Artificial Intelligence;Electrical Engineering;Material Engineering;System Design

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