Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens. The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: Physical layer design considerations that underpin smart city infrastructure Enabling technologies for intelligent systems within the context of smart computing environments Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities Applications, enabling technologies, challenges, and future trends of IoE for smart cities. The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems IoT, blockchain, and cloud-based technology for secure frameworks and data analytics Blockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence of IoT, intelligent systems and urban studies into smart city planning and design.

Nowadays, huge amounts of chemicals are commercialized, shipped, stored, and converted to ensure the commercial availability of goods of daily use. Different hazards are involved in the use of these chemicals due to their intrinsic physicochemical properties. Several accidents have occurred in the past due to these hazards in chemical and process industries with serious consequences for people, buildings, and the environment. Safety in Chemical and Process Industries: A Comprehensive Assessment provides basic knowledge on safety procedures and experimental techniques for evaluating risks related to storage, transport, and transformation of hazardous materials. The book is designed for undergraduate and graduate students of Chemical, Materials, and Environmental Engineering, Chemistry, and Environmental Science. Key features: - Provides a strong foundation on safety management and risk assessment for chemical handling and management - Tackles the management of contaminated industrial sites - Focuses on the risk assessment to set remediation goals - Includes information on Health Impact Assessments - Includes detailed references for advanced readers at PhD or postdoc levels. The book is organized in the following core topics that are part of relevant course modules: - Fundamentals of thermal explosions and calorimetric techniques (Chapters 1-3) - Homogeneous and heterogeneous explosions (Chapters 4-7). - Consequences of fires and heterogeneous explosions (Chapter 8) - Industrial hygiene and toxicology (Chapter 9) - Preventive safety measures and protective measures (Chapter 10) - Risk assessment for industrially contaminated sites (Chapter 11) - Health impact assessment within environmental impact assessment studies (Chapter 12)

This reference is a compilation of work from different technology groups that give an insight into strategies used for technology optimization and technical R&D. Each of the 14 chapters presented in the book are contributed by engineering experts and focus on different aspects of smart technologies. The chapters cover a wide range of technical disciplines with a list of references for further reading. The compilation demonstrates methods that are useful to apprentices and researchers involved in the development of technologies in different fields: · Wireless networking · Signal processing · Control and machine engineering · SOC design · Materials science and nanotechnology · Biomedical engineering · Power electronics The contributions in this book provide interesting examples for product development such as custom nanomaterials, digital electronics, smart devices and antennas. The content also serves as a reference for designing special components used for complex systems like wireless communication systems, automated control systems and organic waste processing systems. The content is structured in a format suitable for both learners and advanced researchers, making this reference essential to engineers at all levels.

Futuristic Projects in Energy and Automation Sectors is a review of analyses on energy transitions in power grids and the opportunities and challenges for building sustainable energy systems to improve human capabilities. 14 chapters examine renewable energy-based and automated systems, with a focus on projects that are designed with sustainability in mind. Topics covered in this review include 1) power systems, 2) renewable energy, 3) power electronics, 4) energy storage and conversion, 5) home automation, 6) control systems, 7) robotics, 8) artificial intelligence, and 9) technology to fight COVID-19. This review will be of interest to scholars, and policymakers interested in futuristic and urban and rural energy planning, sustainable and renewable energy projects, sustainable development, and environment management.

The world faces significant challenges as the population and consumption continue to grow while fossil fuels and other raw materials are depleted at ever-increasing rates. Environmental consciousness and a penchant for thinking about material cycles have caught on with consumers. Therefore, the use of environmentally compatible materials and sustainable production methods are now desired. Materials and Technologies for a Green Environment discusses the major issues surrounding the production of energy through biofuels and waste management. It comprises seven chapters that cover various fields of interest to readers involved in environmental management and sustainability planning. The topics covered include renewable energy sources, thermoelectric generators, electric vehicles, biodiesel production from poultry waste, scramjet combustion engines, and sustainable architecture for green buildings. Given its scope, this book is a valuable resource for students, researchers and engineers in environmental science, mechanical engineering, and chemical engineering and sustainability studies.

This reference distills information about emerging technologies and applications for smart city design and sustainable urban planning. Chapters present technology use-cases that have radical novelty and high scalability with a prominent impact on community living standards. These technologies prepare urban and rural dwellings for the transformation to the smart world. Applications and techniques highlighted in the book use a combination of artificial intelligence and IoT technologies in areas like transportation, energy, healthcare, education, governance, and manufacturing, to name a few. The book serves as a learning resource for smart city design and sustainable infrastructure planning. Scholars and professionals who are interested in understanding ways for transforming communities into smart communities can also benefit from the cases presented in the book.

This textbook bridges the gap between introductory and advanced numerical methods for engineering students. The book initially introduces readers to numerical methods before progressing to linear and nonlinear equations. Next, the book covers the topics of interpolation, curve fitting and approximation, integration, differentiation and differential equations. The book concludes with a chapter on advanced mathematical analysis which explains methods for finite difference, method of moments and finite elements. The book introduces readers to key concepts in engineering such as error analysis, algorithms, applied mathematics with the goal of giving an understanding of how to solve engineering problems using computational methods. Each of the featured topics is explained with sufficient detail while retaining the usual introductory nuance. This blend of beginner-friendly and applied information, along with reference listings makes the textbook useful to students of undergraduate and introductory graduate courses in mathematics and engineering.

A smart city uses technology to provide services and solve problems to improve urban policy efficiency, reduce waste, improve quality of life, and maximize social inclusion. By 2050, 66% of the world's population is expected to be urban, which is a key driver of a global trend toward the creation of smart cities. This trend creates many opportunities for urban planning committees to learn how to design, modernize, and operate smart cities intelligently and effectively. Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development is a collection of topics that are relevant to the design of a smart city. This book aims to complement technical journal articles that require advanced knowledge of the subject of smart cities and applications for readers. It aims to bridge knowledge gaps in sustainable urban design by providing background information via case studies to facilitate students, recent graduates and new practitioners in urban design and planning. Key Features: - This book features 9 chapters that cover 6 major domains, which include (i) information modelling, (ii) internet of things, (iii) intelligent transportation systems, (iv) water supply, (v) waste management and (vi) sustainable environment - Computational techniques are included in the book. These include artificial neural networks, stochastic models, particle swarm optimization, machine learning, and adaptive neuro-fuzzy Inference systems. - Goals of case studies presented in this book use computational techniques to offer readers examples of supervised, unsupervised and reinforcement learning strategies in the context of smart city applications - References are provided for further reading

Soft robotics is a subfield of robotics that encompasses the design and fabrication of robots with soft and compliant materials. Soft robots represent components like human prosthetics or biomimicking systems. Soft robotics relies on technically astute designs based on the correct choice of materials to enable a level of dexterity not possible with rigid components alone. The basic prime movers (actuators) and perception (sensors) require control systems capable of accommodating imprecise feedback data and often unpredictable reaction times. Mobility in such robots is more akin to entomological or marine systems than conventional guided vehicles. This reference is a guide to materials and systems used in soft robotics. If features 6 chapters contributed by robotics experts that review fundamental and applied topics that are important for understanding the requirements of soft robotics design projects and the physics of the polymers involved. Chapters are organized for easy reading and include references. The topics include: - Aspects of materials processing and engineering for the development of soft robotic devices - A review on biological gripping principles and their application to robotics - Information about self-sensing electroadhesive polymer grippers with magnetically controllable surface geometry - Theoretical and experimental investigations of magnetic hybrid materials - Modeling and dynamic analysis of a novel rotary soft robotic arm by transfer matrix method - Design and control of a portable continuum robot for pipe inspection assisted by a rigid manipulator This book is a suitable reference for scholars and engineers who are seeking knowledge about materials and design principles in soft robotics with its practical applications.

This reference presents a collection of studies which highlight new developments in improving manufacturing processes and performance. The book includes 11 chapters which cover unique topics of interest to production engineers. These topics include the production of advanced composite materials and alloys to the use of sensors to evaluate production processes, product testing and evaluation (in production and storage environments), and the development and testing of an unmanned aerial vehicle. Chapters have been contributed by several scholars, who give a unique perspective on specific aspects of manufacturing and industrial production. The book also covers recent technologies such as additive manufacturing. Each chapter presents the study in an experimental manner highlighting the theory, methods, and results, where applicable. References for further reading are also provided. This book is intended to provide researchers and engineers with new data and cases for industrial manufacturing processes which may be applied in different industrial sectors.