Overview
- This volume contains revised and extended research articles written by prominent researchers participating in the conference
- The volume offers the state of art of tremendous advances in engineering technologies and physical science and applications
- The volume also serves as an excellent reference work for researchers and graduate students working with/on engineering technologies and physical science and applications
Included in the following conference series:
Conference proceedings info: WCE 2017.
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Table of contents (30 papers)
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Front Matter
Other volumes
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Transactions on Engineering Technologies
Keywords
- Matrix theory
- Tensor analysis
- Markov chains
- Partial differential equations
- Stochastic differential equations
- Neural Fuzzy Systems
- Neural Genetic Systems
- Partial Least Squares
- Recursive Partitioning
- Algorithmic information theory
- Matrix Computations
- Performance Evaluation Methods
- Superconductivity circuits
- Antennas technology
- Cryptography algorithms
- Multibody Dynamics
- Compressible Flows
About this book
This volume contains a selection of revised and extended research articles written by prominent researchers participating in a large international conference on Advances in Engineering Technologies and Physical Science which was held in London, UK, 5-7 July, 2017. Topics covered include mechanical engineering, engineering mathematics, computer science, knowledge engineering, electrical engineering, wireless networks, and industrial applications. With contributions carefully chosen to represent the most cutting-edge research presented during the conference, the book offers the state of art in engineering technologies and physical science and applications, and also serves as an excellent reference work for researchers and graduate students working with/on engineering technologies and physical science and applications.
Editors and Affiliations
About the editors
Dr. Sio-Iong Ao finished his doctoral research in The University of Hong Kong and postdoctoral researches in the University of Oxford and Harvard University and is a former visiting professor of Cranfield University, UK and University of Wyoming, USA.
Prof. Len Gelman is Professor and Chair in Signal Processing and Condition Monitoring, and Director, the Centre for Efficiency and Performance Engineering, School of Computing and Engineering, The University of Huddersfield, UK. He has more than 25 year’s experience in signal processing and vibro-acoustic monitoring of complex mechanical systems (e.g. rotating, reciprocating machinery, etc.) both in industry and academia. He has been Principal Investigator on numerous contracts and grants, including grants from the USA National Academy of Sciences, USA National Research Council, USA International Science Foundation, USA Civilian Research and Development Foundation (twice), USA MacArthur Foundation, Lady Davis, Israel, Centro Volta, Italy. He is Principal Investigator on UK EPSRC, UK DTI (three times), UK Royal Society, Rolls Royce (two times) and Shell grants.
Dr. Haeng-Kon Kim is currently a Dean of engineering college and a professor in the Department of Computer Engineering Catholic University of Daegu, in Korea. He has been a research staff member in Bell Lab. and NASA center in U.S.A. He has taught in Central Michigan Univ. in U.S.A. during his Sabbatical (Dec., 20, 2000 ~ Feb., 20,2002).
Bibliographic Information
Book Title: Transactions on Engineering Technologies
Book Subtitle: 25th World Congress on Engineering (WCE 2017)
Editors: Sio-Iong Ao, Len Gelman, Haeng Kon Kim
DOI: https://doi.org/10.1007/978-981-13-0746-1
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-0745-4Published: 18 August 2018
Softcover ISBN: 978-981-13-4490-9Published: 23 December 2018
eBook ISBN: 978-981-13-0746-1Published: 17 August 2018
Edition Number: 1
Number of Pages: IX, 407
Number of Illustrations: 165 b/w illustrations
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Control and Systems Theory, Robotics and Automation, Computational Biology/Bioinformatics