Innovative Computing Trends and Applications

This book provides a survey on research, development, and trends in innovative computing in communications engineering and computer science. It features selected and expanded papers from the EAI International Conference on Computer Science and Engineering 2018 (COMPSE 2018), with contributions by top global researchers and practitioners in the field. The content is of relevance to computer science graduates, researchers and academicians in computer science and engineering. The authors discuss new technologies in computer science and engineering that have reduced the dimension of data coverage worldwide, reducing the gaps and coverage of domains globally. They discuss how these advances have also contributed to strength in prediction, analysis, and decision in the areas such as Technology, Management, Social Computing, Green Computing, and Telecom. Contributions show how nurturing the research in technology and computing is essential to finding the right pattern in the ocean of data.

• Focuses on research areas of innovative computing and its application in engineering and technology;
• Includes contributions from researchers in computing and engineering from around the world;
• Features selected and expanded papers from EAI International Conference on Computer Science and Engineering 2018 (COMPSE 2018).

Auteur

Dr. Pandian Vasant is a senior lecturer at Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS in Malaysia. He holds PhD in Computational Intelligence, MSc (Engineering Mathematics) and BSc (Hons) in Mathematics. His research interests include Soft Computing, Hybrid Optimization, Innovative Computing and Applications. He has co-authored research articles in journals, conference proceedings, presentations, special issues guest editor, and book chapters (154 publications indexed in SCOPUS). In 2009 and 2015, he was awarded top reviewer and outstanding reviewer for the journal Applied Soft Computing (Elsevier). He has 25 years of working experiences at the universities. Currently he is Editor-in-Chief of International Journal of Computing & Optimization, International Journal of Industrial Engineering & Management, International Journal of Swarm Intelligence & Evolutionary Computing, Editor of Global Journal Technology & Optimization, Editor of Cogent Engineering (WoS/SCOPUS) and Associate Editor of International Journal of Fuzzy Systems Applications (Scopus).

Prof. Igor Litvinchev is a Professor in the Graduate Program in Systems Engineering (PISIS) and Faculty of Mechanical and Electrical Engineering (FIME) at Nuevo Leon State University (UANL), Monterrey, Mexico. He has a Doctor of Sciences (Habilitation) in Systems Modeling and Optimization from Computing Center Russian Academy of Sciences, Moscow, Russia and a Ph.D. (Candidate of Sciences Degree) in Systems Theory and Operations Research from Computing Center USSR Academy of Sciences, Moscow, Russia. He is the co-founder of Mexican Society of Operations Research and the Mexican Logistics and Supply Chain Association, is on numerous editorial boards, has been committee chair for dozens of conferences, has received many awards, and has contributed to several books.

Jose Antonio Marmolejo is a Professor at Panamerican University, Mexico. His research is on operations research, large-scale optimization techniques, computational techniques and analytical methods for planning, operations, and control of electric energy and logistic systems. He received his Doctorate in Operations Research (Hons) at National Autonomous University of Mexico. At present, He has the third highest country-wide distinction granted by the Mexican National System of Research Scientists for scientic merit (SNI Fellow, Level 1). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems and Mexican Society for Operations Research. He has co-authored research articles in science citation index journals, conference proceedings, presentations and book chapters.

Contenu
Chapter1: A Multi-objective Simulation-based Optimization Approach applied to Material Handling System.- Chapter2: Dataspace Management for Large Data Sets.- Chapter3: Effect of parameters and distribution of air in microwave-convective zone on energy intensity of drying.- Chapter4: Energy Saving Device for Microclimate Maintenance with Utilization of Low-Grade Heat.- Chapter5: Liberalization of the Mexican electricity sector a study of technical efficiency.- Chapter6: Impacts of Sleeping Time during the Day on the Timing and Level of Basal Heart Rate: Analysis of ALLSTAR Big Data.- Chapter7: Innovative Instruments for Extraction of Low-Grade Heat from Surface Watercourses for Heating Systems with Heat Pump.- Chapter8: Propagation of EMF in grain material of various densities.- Chapter9: Solar system with seasonal thermal energy storage.- Chapter10: Towards a Capability Maturity Model for Digital Forensic Readiness.- Chapter11: Vertical and horizontal integration systems in industry 4.0.