Editors:
Conference series link(s): IMECS: International MultiConference of Engineers and Computer Scientists
Conference proceedings info: IMECS 2018.
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Table of contents (28 papers)
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Front Matter
About this book
The book gives a snapshot of selected advances in engineering technologies and their applications, and will serve as a useful reference for researchers and graduate students in these fields.
Keywords
- Fuzzy Systems
- Fuzzy Logic
- Bayesian networks
- Machine learning
- Swarm Intelligence
- Distributed artificial intelligence
- RNA interference analysis
- Single nucleotide polymorphism analysis
- Sequence profiling tools
- Large-scale systems
- Human-machine systems
- Human Resource Management Systems
- Enterprise resource planning
- VLSI design
- Wireless Ad-hoc Networks
- Integrated Product Engineering
- Computer Simulation Methods
- IMECS 2018 proceedings
Editors and Affiliations
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International Association of Engineers, Hong Kong, Hong Kong
Sio-Iong Ao
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Department of Computer and Communication, Dae Gu Catholic University, Daegu, Korea (Republic of)
Haeng Kon Kim
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Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico
Oscar Castillo
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Department of SEEM, City University of Hong Kong, Kowloon, Hong Kong
Alan Hoi-shou Chan
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Department of Industrial Engineering and Management, Kanagawa University, Yokohama, Japan
Hideki Katagiri
About the editors
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).
Prof. Oscar Castillo is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. Prof. Castillo serves as Research Director of Computer Science and head of the research group on fuzzy logic and genetic algorithms, and is President of HAFSA (Hispanic American Fuzzy Systems Association) and Vice-President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Vice-Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE).
Dr Alan H.S. Chan obtained his BSc, MPhil, and PhD from the University of Hong Kong. He has a wide range of research interests in human factors, work design, and occupational safety and health and has published more than 160 papers in SCI journals. He has been contributing to his profession and was elected as a Fellow of Institute of Industrial and Systems Engineers, International Ergonomics Association, Hong Kong Institution of Engineers, Institution of Engineering and Technology, and the Hong Kong Ergonomics Society. Dr Chan was the President of Institute of Industrial Engineers (HK) for 96/97 and twice the President of Hong Kong Ergonomics Society (03-05, 09-11).
Prof. Hideki Katagiri is a Professor of Department of Industrial Engineering and Management at Kanagawa University, Japan. He is also a Visiting Professor of Hiroshima University, Japan. His research and teaching activities are in the area of Operations Research and Computational Intelligence such as Mathematical Optimization under Uncertainty, Soft Computing and Data Analysis.​
Bibliographic Information
Book Title: Transactions on Engineering Technologies
Book Subtitle: International MultiConference of Engineers and Computer Scientists 2018
Editors: Sio-Iong Ao, Haeng Kon Kim, Oscar Castillo, Alan Hoi-shou Chan, Hideki Katagiri
DOI: https://doi.org/10.1007/978-981-32-9808-8
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-32-9807-1Published: 11 October 2019
Softcover ISBN: 978-981-32-9810-1Published: 12 October 2020
eBook ISBN: 978-981-32-9808-8Published: 10 October 2019
Edition Number: 1
Number of Pages: IX, 364
Number of Illustrations: 100 b/w illustrations, 95 illustrations in colour
Topics: Computational Intelligence, Control and Systems Theory, Robotics and Automation, Electrical Engineering, Data Mining and Knowledge Discovery, Computational Biology/Bioinformatics