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Intelligent Computing and Optimization: Proceedings of the 2nd International Conference on Intelligent Computing and Optimization 2019 (ICO 2019) de Pandian Vasant

Intelligent Computing and Optimization: Proceedings of the 2nd International Conference on Intelligent Computing and Optimization 2019 (ICO 2019): Advances in Intelligent Systems and Computing, cartea 1072

Editat de Pandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber
en Limba Engleză Paperback – 27 oct 2019

Remarcăm în Intelligent Computing and Optimization un ecosistem vast de tehnologii emergente, de la algoritmi meta-euristici și sisteme neuro-fuzzy, până la aplicații practice în blockchain, Internet of Things (IoT) și Industry 4.0. Această lucrare, publicată de Springer în seria Advances in Intelligent Systems and Computing, reunește cercetările prezentate la conferința ICO 2020, oferind o perspectivă tehnică asupra modului în care inteligența artificială poate optimiza infrastructurile critice. Suntem de părere că abordarea este una profund aplicată, orientată spre rezolvarea problemelor de sustenabilitate în energie și producție.

Abordarea diferă de cea din Intelligent Computing and Optimization for Sustainable Development prin faptul că este mai puțin abstractă și mult mai orientată spre implementări specifice de algoritmi, precum Lévy-Flight Firefly sau Cooperative FPA-ATS. În timp ce alte lucrări similare se concentrează pe politici generale, acest volum oferă detalii despre modelarea sistemelor de recoltare a energiei eoliene sau optimizarea costurilor în lanțurile de aprovizionare prin simulări numerice.

Structura volumului este organizată riguros pe secțiuni tematice: începe cu sisteme de energie curată, trece prin fundamentarea matematică a optimizării sustenabile (metoda multiplicatorilor Lagrange incerți) și culminează cu avansuri în modelarea computerizată (CFD). Față de lucrarea anterioară a editorului Pandian Vasant, Advances of Artificial Intelligence in a Green Energy Environment, care se axa preponderent pe sectorul energetic, volumul de față extinde aria de aplicabilitate către securitate cibernetică și simulări industriale complexe, demonstrând o evoluție spre o viziune integrată a orașelor inteligente.

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Specificații

ISBN-13: 9783030335847
ISBN-10: 3030335844
Pagini: 693
Ilustrații: XV, 693 p. 357 illus., 237 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.98 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Cham, Switzerland

De ce să citești această carte

Recomandăm această carte cercetătorilor și inginerilor care au nevoie de soluții de optimizare computațională pentru probleme reale de inginerie. Cititorul câștigă acces la metodologii avansate de modelare și algoritmi de nișă care pot fi aplicați imediat în proiecte de sustenabilitate, energie regenerabilă sau Industry 4.0, beneficiind de rigoarea unei selecții academice de prestigiu.

Despre autor

Pandian Vasant este un editor și cercetător recunoscut în domeniul optimizării computaționale, cu un interes marcat pentru intersecția dintre inteligența artificială și energia verde. Alături de Ivan Zelinka și Gerhard-Wilhelm Weber, acesta a coordonat numeroase volume în seriile Springer, concentrându-se pe aplicarea meta-heuristicilor în rezolvarea problemelor complexe de inginerie. Experiența sa în organizarea conferințelor internaționale de profil (ICO, COMPSE) se reflectă în calitatea selecției lucrărilor, promovând inovația în domenii precum Smart Intelligence și Machine Learning aplicat în medii industriale.

Descriere scurtă

This book presents the outcomes of the second edition of the International Conference on Intelligent Computing and Optimization (ICO) – ICO 2019, which took place on October 3–4, 2019, in Koh Samui, Thailand. Bringing together research scholars, experts, and investigators from around the globe, the conference provided a platform to share novel research findings, recent advances and innovative applications in the field.
Discussing the need for smart disciplinary processes embedded into interdisciplinary collaborations in the context of meeting the growing global populations’ requirements, such as food and health care, the book highlights the role of intelligent computation and optimization as key technologies in  decision-making processes and in providing cutting edge solutions to real-world problems.

Caracteristici

Provides current cutting edge methodologies and applications to real world problems in the interdisciplinary fields Presents the results of International Conference on Intelligent Computing & Optimization (ICO 2019) held at Baywater Resort, Koh Samui,Thailand,from 3-4th October 2019 Focuses on a variety of methods and systems as well as practical examples

Cuprins

Part 1: Sustainable Clean Energy System.- Chapter 1. Adaptive Neuro-Fuzzy Inference based Modelling of Wind Energy Harvesting System for Remote Areas.- Chapter 2. Features of Distributed Energy Integration in Agriculture.- Chapter 3. Concept of Multi-Contact Switching System.- Part 2: Sustainable Optimization, Metaheuristics and Computing for Expert System.- Chapter 4. The Results of a Compromise Solution which were Obtained on the Basis of The Method of Uncertain Lagrange Multipliers to Determine the Influence of Design Factors of the Elastic-Damping Mechanism in the Tractor Transmission.- Chapter 5. Multiobjective Lévy-Flight Firefly Algorithm for Multiobjective Optimization.- Chapter 6. Cooperative FPA-ATS Algorithm for Global Optimization.- Part 3: Advances in Algorithms, Modeling and Simulation for Intelligent Systems.- Chapter 7. Modeling and simulation of rectangular sheet membrane using computational fluid dynamics (CFD).- Chapter 8. End to End Supply Chain Costs Optimization Based on Material Touches Reduction.- Chapter 9. Computer Modeling Selection of Optimal Width of Rod Grip Header to the Combine Harvester.- Part 4: Application of Machine Learning and Artificial Intelligence Technology.- Chapter 10. Gender Classification from Inertial Sensor-Based Gait Dataset.- Chapter 11. Lévy-Flight Intensified Current Search for Multimodal Function Minimization.- Chapter 12. Cancer Cell Segmentation Based on Unsupervised Clustering and Deep Learning.- Part 5: Holistic IoT, Deep Learning and Information Technology.- Chapter 13. Mosquito Classication using Covolutional Neural Network with Data Augmentation.- Chapter 14. Recommendation System for E-commerce using Alternating Least Squares (ALS) on Apache Spark.- Chapter 15. An Interactive Computer System with Gesture-Based Mouse and Keyboard.- Part 6: Advances in Engineering and Technology.- Chapter 16. Floor-mounted Heating of Piglets with the Use of  Thermoelectricity.-Chapter 17. The Rationale for Using Improved Flame Cultivator for Weed Control.- Chapter 18. The lighting plan: from a sector-specific urbanistic instrument to an opportunity of enhancement.

Notă biografică

Pandian Vasant is a senior lecturer at University of Technology Petronas, Malaysia and an Editor-in-Chief of International Journal of Energy Optimization and Engineering (IJEOE). He holds PhD in Computational Intelligence (UNEM, Costa Rica), MSc (University Malaysia Sabah, Malaysia, Engineering Mathematics) and BSc (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 (257 publications indexed in SCOPUS) 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 30 years of working experiences atthe universities. Currently he is an Editor-in-Chief of International Journal of Energy Optimization & Engineering, and Member of AMS (USA), NAVY Research Group (TUO, Czech Republic) and MERLIN Research Group (TDTU, Vietnam). H-Index Google Scholar = 33; i-10-index = 107. Ivan Zelinka is currently working at the Technical University of Ostrava (VSB-TU), Faculty of Electrical Engineering and Computer Science. He graduated consequently at Technical University in Brno (1995 – MSc.), UTB in Zlin (2001 – PhD) and again at Technical University in Brno (2004 – assoc. prof.) and VSB-TU (2010 - professor). Before academic career, he was an employed like TELECOM technician, computer specialist (HW+SW) and Commercial Bank (computer and LAN supervisor). During his career at UTB, he proposed and opened 7 different lectures. He also has been invited for lectures at numerous universities in different EU countries plus the role of the keynote speaker at the Global Conference on Power, Control and Optimization in Bali, Indonesia (2009), Interdisciplinary Symposium on Complex Systems (2011), Halkidiki, Greece and IWCFTA 2012, Dalian China. The field of his expertise if mainly on unconventional algorithms and cybersecurity. He is and was responsible supervisor of 3 grant of fundamental research of Czech grant agency GAČR, co-supervisor of grant FRVŠ - Laboratory of parallel computing. He was also working on numerous grants and two EU project like a member of the team (FP5 - RESTORM) and supervisor (FP7 - PROMOEVO) of the Czech team and supervisor of international research (founded by TACR agency) focused on the security of mobile devices (Czech - Vietnam). Currently, he is a professor at the Department of Computer Science and in total, he has been the supervisor of more than 40 MSc. and 25 Bc. diploma thesis. Ivan Zelinka is also supervisor of doctoral students including students from the abroad. He was awarded by Siemens Award for his PhD thesis, as well as by journal Software newsfor his book about artificial intelligence. Ivan Zelinka is a member of British Computer Society, Editor in chief of Springer book series: Emergence, Complexity and Computation, Editorial board of Saint Petersburg State University Studies in Mathematics, a few international program committees of various conferences and international journals. He is the author of journal articles as well as of books in Czech and English language and one of three founders of TC IEEE on big data. He is also head of research group NAVY.

G.-W. Weber is a Professor at Poznan University of Technology, Poznan, Poland, at Faculty of Engineering Management, Chair of Marketing and Economic Engineering. His research is on OR, financial mathematics, optimization and control, neuro- and bio-sciences, data mining, education and development; he is involved in the organization of scientific life internationally. He received his Diploma and Doctorate in mathematics, and economics / business administration, atRWTH Aachen, and his Habilitation at TU Darmstadt. He held Professorships by proxy at University of Cologne, and TU Chemnitz, Germany. At IAM, METU, Ankara, Turkey, he was a Professor in the programs of Financial Mathematics and Scientific Computing, and Assistant to the Director, and he has been a member of further graduate schools, institutes and departments of METU. Further, he has affiliations at the universities of Siegen, Ballarat, Aveiro, North Sumatra, and Malaysia University of Technology, and he is “Advisor to EURO Conferences”.