Описание: 1) INTRODUCTION2) THE CHARACTERISTICS OF FIRE CONTROL IN LARGE TRANSPORTATION HUBS3) FIRE SAFETY DESIGN FOR LARGE TRANSPORTATION HUBS4) FIRE SAFETY STRATEGIES FOR TYPICAL SPACE OF LARGE TRANSPORTATION HUBS5) CASE ANALYSIS OF PERFORMANCE-BASED FIRE SAFETY DESIGN FOR LARGE TRANSPORTATION HUB - SHANGHAI HONGQIAO INTEGRATED TRANSPORTATION HUB6) APPLICATION OF NEW TECHNOLOGIES IN FIRE SAFETY FOR LARGE TRANSPORTATION HUBS7) CONCLUSIONS AND PROSPECTS
In the De Gruyter Series on the Internet of Things, different approaches of the IoT, the challenges, and some of the applications are presented and discussed. This provides a roadmap to researchers and beginners.
IoT envisages a deep sense of connectivity and communication between the living and non-living entities. Today, the vision of IoT has expanded to connect everything – from industrial equipment, to everyday objects, to living organisms such as plants, farm animals, and people. To create a niche for non-living things to react, respond and work autonomously as and when required and as per their role, position and location in the ecosystem to provide services to the user. IoT is developing rapidly in industrial settings. IoT integrates the physical world with the information world so that every entity/device works for the betterment and in co-ordination with the other to help to conserve the most valued resources and save time.
Автор: Tetiana Shmelova, Yuliya Sikirda, Arnold Sterenhar Название: Artificial Intelligence Applications in the Aviation and Aerospace Industries ISBN: 1799814157 ISBN-13(EAN): 9781799814153 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 36993.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the emergence of smart technology and automated systems in today's world, artificial intelligence (AI) is being incorporated into an array of professions. The aviation and aerospace industry, specifically, is a field that has seen the successful implementation of early stages of automation in daily flight operations through flight management systems and autopilot. However, the effectiveness of aviation systems and the provision of flight safety still depend primarily upon the reliability of aviation specialists and human decision making. Artificial Intelligence Applications in the Aviation and Aerospace Industries is a pivotal reference source that explores best practices for AI implementation in aviation to enhance security and the ability to learn, improve, and predict. While highlighting topics such as computer-aided design, automated systems, and human factors, this publication explores the enhancement of global aviation security as well as the methods of modern information systems in the aeronautics industry. This book is ideally designed for pilots, scientists, engineers, aviation operators, air crash investigators, teachers, academicians, researchers, and students seeking current research on the application of AI in the field of aviation.
Описание: Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence. Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment. The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.
Описание: This book presents the latest research in the field of machine learning, discussing the real-world application problems associated with new innovative renewable energy methodologies as well as cutting edge technologies in the transport industry. The requirements and demands of problem solving have been increasing exponentially, and new artificial intelligence and machine learning technologies have reduced the scope of data coverage worldwide. Recent advances in data technology (DT) have contributed to reducing the gaps in the coverage of domains around the globe. Attention to clean energy in recent decades has been growing exponentially. This is mainly due to a decrease in the cost of both installed capacity of converters and a decrease in the cost of generated energy. Such successes were achieved thanks to the improvement of modern technologies for the production of converters, an increase in the efficiency of using incoming energy, optimisation of the operation of converters and analysis of data obtained during the operation of systems with the possibility of planning production. The use of clean energy plays an important role in the transportation industry, where technologies are also being improved from year to year - the transportation industry is growing, and machinery and systems are becoming more autonomous and robotic, where it is no longer possible to do without complex intelligent computing, machine learning optimisation, planning and working with large amounts of data. The book is a valuable reference work for researchers in the fields of renewable energy, computer science and engineering with a particular focus on machine learning and intelligent optimization as well as for postgraduates, managers, economists and decision makers, policy makers, government officials, industrialists and practicing scientists and engineers as well compassionate global decision makers. Topics include: Machine learning, Quantum Optimization, Modern Technology in Transport Industry, Innovative Technologies in Transport Education, Systems Based on Renewable Energy Conversion, Business Process Models and Applications in Renewable Energy, Clean Energy, and Climate Change.
Описание: Presents research exploring the effective and productive solutions to global transportation and logistics by applying fundamental and in-depth knowledge together with current applications and future aspects. The book features coverage on a range of topics, including international regulations, inventory management, and distribution networks.
Описание: This book explores the methodological and application developments of network design in transportation and logistics. Chapters cover topics such as multi-facility network design, flow-constrained network design, and robust network design.
Автор: Crainic Teodor Gabriel, Gendreau Michel, Gendron Bernard Название: Network Design with Applications to Transportation and Logistics ISBN: 3030640175 ISBN-13(EAN): 9783030640170 Издательство: Springer Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the methodological and application developments of network design in transportation and logistics. Chapters cover topics such as multi-facility network design, flow-constrained network design, and robust network design.
Описание: Business practices are constantly evolving in order to meet growing customer demands. Evaluating the role of logistics and supply chain management skills or applications is necessary for the success of any organization or business. As market competition becomes more aggressive, it is crucial to evaluate ways in which a business can maintain a strategic edge over competitors.
Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications is a vital reference source that centers on the effective management of risk factors and the implementation of the latest supply management strategies. It also explores the field of digital supply chain optimization and business transformation. Highlighting a range of topics such as inventory management, competitive advantage, and transport management, this multi-volume book is ideally designed for business managers, supply chain managers, business professionals, academicians, researchers, and upper-level students in the field of supply chain management, operations management, logistics, and operations research.
Описание: This book introduces readers to the fundamentals of transportation problems under the fuzzy environment and its extensions. (2) recently proposed methods for solving transportation problems under the fuzzy environment; and (3) recently proposed methods for solving transportation problems under the intuitionistic fuzzy environment.
Описание: This book includes selected papers from the fourth International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2021), held in Chengdu City, Sichuan Province, China, during May 22–24, 2021. The conference is technically co-sponsored by Southwest Jiaotong University, Shandong University of Science and Technology, Fujian University of Technology, and Minjiang University. The book includes research works from engineers, researchers, and practitioners interested in the advances and applications in the field of vehicle technology and communication. The book covers four tracks, namely (1) vehicular networking security, (2) vehicular electronics, (3) intelligent transportation systems, and (4) smart vehicular communication networks and telematics.
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