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  • 1
    UID:
    gbv_1734578335
    Umfang: 1 Online-Ressource (580 p) , ill
    ISBN: 9783038265979 , 3038265977
    Serie: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Inhalt: Collection of selected, peer reviewed papers from the 2014 4th International Conference on Industry, Information System and Material Engineering (IISME2014), July 26-27, 2014, Nanjing, China. The 120 papers are grouped as follows: Chapter 1: Materials Science, Processing and Application, Chapter 2: Mechanical Engineering and Applied Mechanics, Chapter 3: Energy, Power and Heat Engineering,Chapter 4: Construction and Civil Engineering,Chapter 5: Environmental Engineering, Chapter 6: Robotics, Control and Automation,Chapter 7: Applied Information Technologies, Data Processing and Computational Methods,Chapter 8: Industrial Engineering and Engineering Education Keyword: Materials Science, Processing and Application; Mechanical Engineering and Applied Mechanics; Energy, Power and Heat Engineering; Construction and Civil Engineering; Environmental Engineering; Robotics, Control and Automation; Applied Information Technologies, Data Processing and Computational Methods The themes of the 119 papers are materials science, processing, and application; mechanical engineering and applied mechanics; energy, power, and heat engineering; construction and civil engineering; environmental engineering; robotics, control, and automation; applied information technologies, data processing, and computational methods; and industrial engineering and engineering education. The topics include evaluating biological materials for the functional reconstruction of ligament defects in exercise-induced ligament injury, effects of wall roughness and flow velocity on a water hammer, architectural materials in the Lu Gardens of the Northern Wei Dynasty, information retrieval in the design and application of a database for breeding farmed tilapia, and assessing elevator risk with a fuzzy analytic hierarchy process and artificial neural network model. — Civil engineering— Computer science— Engineering— Environmental engineering— Mechanical engineering— Robotics
    Anmerkung: Includes bibliographical references and index , Mode of access: World Wide Web.
    Sprache: Englisch
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Volltext  (Deutschlandweit zugänglich)
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