Transactions on Engineering Technologies

International MultiConference of Engineers and Computer Scientists 2018
1. Auflage 2020
ISBN: 978-981-329-807-1
Verlag: Springer Nature Singapore

Buch, Englisch, 364 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 797 g

This book contains revised and extended research articles written by prominent researchers, selected from presentations at the International MultiConference of Engineers and Computer Scientists (IMECS 2018) held in Hong Kong, 14-16 March, 2018. Topics covered include engineering physics, communications systems, control theory, automation, engineering mathematics, scientific computing, electrical engineering, and industrial applications. 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.

Zielgruppe

Research

Autoren/Hrsg.

Ao, Sio-Iong

Kim, Haeng Kon

Katagiri, Hideki

Castillo, Oscar

Chan, Alan Hoi-Shou

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Chapter 1. elected topics in engineering physics.- Chapter 2. Selected topics in communications systems.- Chapter 3. Selected topics in control theory.- Chapter 4. Selected topics in automation.- Chapter 5. Selected topics in engineering mathematics.- Chapter 6. Selected topics in scientific computing.- Chapter 7. Selected topics in electrical engineering.- Chapter 8. Selected topics in industrial applications.

Über Autor(innen)

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.

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.