Data and Ai Driving Smart Cities - Couverture rigide

Ponce, Pedro; Peffer, Therese; Garduno, Juana Isabel Mendez; Eicker, Ursula; Molina, Arturo

Couverture rigide

ISBN 10 : 3031328272 ISBN 13 : 9783031328275

Editeur : Springer International Publishing AG, 2023

Synopsis

This book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the creation of smart cities in which the needs of inhabitants are collected using virtualization and digitalization systems. On the other hand, machine learning algorithms have been implemented to provide better solutions for diverse areas in smart cities, such as transportation and health. Besides, conventional electric grids have transformed into smart grids, improving energy quality. Gamification, serious games, machine learning, dynamic interfaces, and social networks are some elements integrated holistically to provide novel solutions to design and develop smart cities. Also, this book presents in a friendly way the concept of social devices that are incorporated into smart homes and buildings. This book is used to understand and design smart cities where citizens are strongly interconnected so the demand response time can be reduced.

A propos du livre

À propos de l'auteur

Arturo Molina is Vice President of Research and Technology Transfer and Professor from Tecnologico de Monterrey University in Mexico. He received the B.Eng. degree in computational systems and the M.Eng. degree in computational sciences from the Tecnologico de Monterrey and his PhD degree in Manufacturing Engineering at Loughborough University of Technology and his University Doctor degree in Mechanical Engineering at the Technical University of Budapest, Hungary. He has co-authored more than 300 research articles and several inventions. His current research interests include concurrent engineering technologies and manufacturing, enterprise integration engineering, technology management. He has applied research and development for the economic sectors of automotive, construction and energy. He is a member of the Mexican National Researchers System, the Mexican Academy of Science, and the MexicanAcademy of Engineering. Pedro Ponce is a Senior Researcher Scientist and member of the Product Innovation Research Group at Tecnologico de Monterrey University in Mexico. He received the B.Eng. degree in Automation and Control, the M.Sc. and Ph.D. degree in Electrical Engineering focused on Automatic Control Systems, respectively. He worked 12 years as a field and design engineer in Control Systems and Automation. Also, He has authored and co-authored more than 240 research articles, 14 books, and 6 inventions, including one US Patent. His research interests include Mechatronics, Control Systems, Smart Grids, Machine Learning, Product Design, Optimization, Electric Engineering, Education and Artificial Intelligence. He is a member of the Mexican National Researchers System and the Mexican Academy of science. Besides, He is an associate editor in the international journal of advanced robotics systems and the international journal on interactive design and manufacturing. Jhonattan Miranda is a Researcher in the Product Innovation Research Group and Coordinator of the Open Innovation Laboratory at Tecnologico de Monterrey University in Mexico. He received the B. Eng. degree in Mechatronics from the Tecnológico Nacional de México, Cd. Hidalgo Campus and the M.Sc. and PhD degrees in Engineering Sciences with a concentration in Manufacturing Systems and Product Design from the Tecnologico de Monterrey, respectively. He has co-authored different research articles in the areas of product design and innovation, and concurrent engineering applied to the education and manufacturing sectors and has an invention in the area of machine-tools. He is member of the Mexican National Researchers System. Daniel Cortés, Mexico City, 1993. He received the B. Eng. degree in Industrial Chemical Engineer, the M.Sc. in Business Administration. He has worked in the manufacturing sector for 3 years. He has worked in the development of innovative products at Tecnologico de Monterrey, co-authoring research articles. His research interests include Discrete Event Simulation, Product Design, Process Design, Manufacturing System Design and Enterprise Business Models.

À propos de la quatrième de couverture

This book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the creation of smart cities in which the needs of inhabitants are collected using virtualization and digitalization systems. On the other hand, machine learning algorithms have been implemented to provide better solutions for diverse areas in smart cities, such as transportation and health. Besides, conventional electric grids have transformed into smart grids, improving energy quality. Gamification, serious games, machine learning, dynamic interfaces, and social networks are some elements integrated holistically to provide novel solutions to design and develop smart cities. Also, this book presents in a friendly way the concept of social devices that are incorporated into smart homes and buildings. This book is used to understand and design smart cities where citizens are strongly interconnected so the demand response time can be reduced.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 3031328272
• ISBN 13: 9783031328275
• Reliure: Relié
• Nombre de pages: 227
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible