Data Analysis and Optimization for Engineering and Computing Problems
Springer International Publishing (Verlag)
978-3-030-48151-3 (ISBN)
This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.
Dr. Pandian Vasant is a senior lecturer at Universiti Teknologi Petronas, Malaysia and an Editor-in-Chief of International Journal of Energy Optimization and Engineering (IJEOE). He holds Ph.D. in Computational Intelligence (UNEM, Costa Rica), M.Sc. (University Malaysia Sabah, Malaysia, Engineering Mathematics) and B.Sc. (Hons, Second Class Upper) in Mathematics (University of Malaya, Malaysia). His research interests include Soft Computing, Hybrid Optimization, Innovative Computing and Applications. He has co-authored research articles in journals, conference proceedings, presentation, special issues guest editor, book chapters (248 publications indexed in Web of Science) and General Chair of EAI International Conference on Computer Science and Engineering in Penang, Malaysia (2016) and Bangkok, Thailand (2018). In the year 2009 and 2015, Dr. Pandian Vasant was awarded top reviewer and outstanding reviewer for the journal Applied Soft Computing (Elsevier). He has 27 years of working experiences at the universities. Currently he is an Editor-in-Chief of International Journal of Energy Optimization and Engineering, and Member of AMS (USA), NAVY Research Group (TUO, Czech Republic) and MERLIN Research Group (TDTU, Vietnam).
Igor Litvinchev Professor Igor Litvinchev received his M.Sc. degree in Applied Mathematics from Moscow Institute of Physics and Technology (Fizteh), Russia; Ph.D. in Systems Theory and Operations Research and Dr.Sci. (Habilitation) in Systems Modeling and Optimization from Computing Center, Russian Academy of Sciences, Moscow. He has held long term visiting positions at universities in Brazil, Mexico, and Norway, as well as positions at various universities and research centers in Russia. He is currently a Head of Department at Computing Center Russian Academy of Sciences and Professor at Nuevo Leon State University, Mexico. He is an author of 4 books and numerous research papers focused on large-scale systems modeling, optimization, and control. His research was supported by more than 30 grants from NATO Scientific Affairs Division and European Community; ISF (USA) and RFBR (Russia); CNPq and FAPESP (Brasil); BRFBR (Belarus); CONACYT, PROMEP and PAICYT (Mexico). Professor Litvinchev is a member of Russian Academy of Natural Sciences and Mexican Academy of Sciences.
JOSE A. MARMOLEJO SAUCEDO is a Professor at Panamerican University, Mexico. His research is on operations research, largescale optimization techniques, computational techniques and analytical methods for planning, operations, and control of electric energy and logistic systems. He is particularly interested in topics related to artificial intelligence, digital twins, the Internet of things and Industry 4.0. He received his Doctorate in Operations Research (Hons) at National Autonomous University of Mexico. At present, He has the second highest country-wide distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 2). 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 coauthored research articles in science citation index journals, conference proceedings, presentations, books, and book chapters.
ROMAN RODRIGUEZ-AGUILAR is a professor in the School of Economic and Business Sciences of the "Universidad Panamericana" in Mexico. His research is on large-scale mathematical optimization, evolutionary computation, statistical modeling, mathematical finance, competition and market regulation. He received his Ph.D. at School of Economics at National Polytechnic Institute, Mexico. He also has a master's degree in Engineering from the School of Engineering at the National University of Mexico (UNAM), a master's degree in Administration and Public Policy in the School of Government and Public Policy at Monterrey Institute
Introduction.- PART I: Heuristic Design and Optimization.- A new heuristic based on a parallel implementation of Firefly Algorithm.- A new approach of the Rain-fall Optimization Algorithm using parallelization.- Algorithm to detect and calculate the cerebrospinal fluid through Magnetic Resonance Imaging.- PART II: Mixed-Integer Programming and Global Optimization.- Backbone distribution network design for the Mexican automotive industry.- A hybrid model for improving the performance of basketball lineups.- Location of Bases for Pre-Hospital Services.- Balance layout problem with the optimized distances between objects.- Optimized Packing of Object Clusters with Balancing Conditions.- PART III: Simulation and Distributed Systems.- Didactic Tool for Teaching Election Algorithms in Distributed Systems.- Evaluation of the feasibility of implementing industry 4.0 technologies in the intralogistics processes of the Logistics Operators of the Department of the Atlantic, a look towards the continuous improvement of organizational efficiency.- Secure Key Distribution Prototype based on Kerberos.- A decision-making approach using Fuzzy Logic and ANFIS: A retail study case.- PART IV: Renewable Energies.- Development of renewable energy resources in global energy interconnection.- PART V: Information Technologies.- Main Metric Components in the generation of mixed indicators.- SMOTE-Cov: A new over-sampling method based on the Covariance Matrix.- A Sentiment Analysis Method for Analyzing Users Opinions about Drugs for Chronic Diseases.- Proofs of the Undecidability of Stegananalysis Techniques.- Vulnerability of Network Coding under Pollution Attacks.- Stream cipher Hadamard transform cryptanalysis.- A Comparison of Speech-to-Speech Neural Network Methodologies for Digit Pronunciation.- Conclusion.
| Erscheinungsdatum | 11.09.2021 |
|---|---|
| Reihe/Serie | EAI/Springer Innovations in Communication and Computing |
| Zusatzinfo | XI, 280 p. 130 illus., 96 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 456 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Applications • Computer Science • conference proceedings • Informatics • machine learning • meta-heuristics • Optimization • Research • stochastic optimization |
| ISBN-10 | 3-030-48151-4 / 3030481514 |
| ISBN-13 | 978-3-030-48151-3 / 9783030481513 |
| Zustand | Neuware |
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