Smart Engineering Systems: Design and Applications – serie

This reference text discusses intelligent robotic and drone technology with embedded Internet of Things (IoT) for smart applications. The text discusses future directions of optimization methods with various engineering and science fundamentals used in robotics and drone-based applications. Its emphasis is on covering deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. It covers important topics including sensors and actuators in the internet of things (IoT), internet-of-robotics-things (IoRT), IoT in agriculture and food processing, routing challenges in flying Ad-hoc networks, and smart cities. The book will serve as a useful text for graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and mechanical engineering.

This reference text discusses intelligent robotic and drone technology with embedded Internet of Things (IoT) for smart applications. The text discusses future directions of optimization methods with various engineering and science fundamentals used in robotics and drone-based applications. Its emphasis is on covering deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. It covers important topics including sensors and actuators in the internet of things (IoT), internet-of-robotics-things (IoRT), IoT in agriculture and food processing, routing challenges in flying Ad-hoc networks, and smart cities. The book will serve as a useful text for graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and mechanical engineering.

This reference text offers the reader a comprehensive insight into recent research breakthroughs in blockchain, the Internet of Things (IoT), artificial intelligence and material structure and hybrid technologies in their integrated platform, while also emphasizing their sustainability aspects.The text begins by discussing recent advances in energy materials and energy conversion materials using machine learning, as well as recent advances in optoelectronic materials for solar energy applications. It covers important topics including advancements in electrolyte materials for solid oxide fuel cells, advancements in composite materials for Li-ion batteries, progression of materials for supercapacitor applications, and materials progression for thermochemical storage of low-temperature solar thermal energy systems.This book:Discusses advances in blockchain, the Internet of Things, artificial intelligence, material structure and hybrid technologiesCovers intelligent techniques in materials progression for sensor development and energy material characterization using signal processingExamines the integration of phase change materials in construction for thermal energy regulation in new buildingsExplores the current happenings in technology in conjunction with basic laws and mathematical modelsConnecting advances in engineering materials with the use of smart techniques including artificial intelligence, machine learning and Internet of Things (IoT) in a single volume, this text will be especially useful for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, mechanical engineering and computer science.

This reference text offers the reader a comprehensive insight into recent research breakthroughs in blockchain, the Internet of Things (IoT), artificial intelligence and material structure and hybrid technologies in their integrated platform, while also emphasizing their sustainability aspects.The text begins by discussing recent advances in energy materials and energy conversion materials using machine learning, as well as recent advances in optoelectronic materials for solar energy applications. It covers important topics including advancements in electrolyte materials for solid oxide fuel cells, advancements in composite materials for Li-ion batteries, progression of materials for supercapacitor applications, and materials progression for thermochemical storage of low-temperature solar thermal energy systems.This book:Discusses advances in blockchain, the Internet of Things, artificial intelligence, material structure and hybrid technologiesCovers intelligent techniques in materials progression for sensor development and energy material characterization using signal processingExamines the integration of phase change materials in construction for thermal energy regulation in new buildingsExplores the current happenings in technology in conjunction with basic laws and mathematical modelsConnecting advances in engineering materials with the use of smart techniques including artificial intelligence, machine learning and Internet of Things (IoT) in a single volume, this text will be especially useful for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, mechanical engineering and computer science.

This reference text discusses recent advances in the field of nanotechnology with applications in the fields of electronics sector, agriculture, health services, smart cities, food industry, and energy sector in a comprehensive manner.The text begins by discussing important concepts including bio nanotechnology, nano electronics, nano devices, nano medicine, and nano memories. It then comprehensively covers applications of nanotechnology in different areas including healthcare, energy sector, environment, security and defense, agriculture sector, food industry, automotive sector, smart cities, and Internet of Things (IoT).Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, nanoscience and nanotechnology, this text: Discusses nano image sensors useful for imaging in medical and for security applications. Covers advances in the field of nanotechnology with their applications. It covers important concepts including neuro simulators, nano medicine, and nano materials. Covers applications of nanotechnology in diverse fields including health sector, agriculture, energy sector, and electronics.

This reference text discusses recent advances in the field of nanotechnology with applications in the fields of electronics sector, agriculture, health services, smart cities, food industry, and energy sector in a comprehensive manner.The text begins by discussing important concepts including bio nanotechnology, nano electronics, nano devices, nano medicine, and nano memories. It then comprehensively covers applications of nanotechnology in different areas including healthcare, energy sector, environment, security and defense, agriculture sector, food industry, automotive sector, smart cities, and Internet of Things (IoT).Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, nanoscience and nanotechnology, this text: Discusses nano image sensors useful for imaging in medical and for security applications. Covers advances in the field of nanotechnology with their applications. It covers important concepts including neuro simulators, nano medicine, and nano materials. Covers applications of nanotechnology in diverse fields including health sector, agriculture, energy sector, and electronics.

Smart technologies, such as artificial intelligence and machine learning, play a vital role in modeling, analysis, performance prediction, effective control, and utilization of smart energy systems. This book presents novel concepts in the development of smart cities and smart grids as well as discusses the technologies involved in producing efficient and economically feasible energy technologies around the world.It comprehensively covers important topics, including optimization methods for smart grids, power converters, smart meters, load frequency control, automatic generation control, and power electronics for smart grids.This book focuses mainly on three areas of electrical engineering: control systems, power electronics, and renewable resources, including artificial intelligence for the development of smart electrical grids.Key Features• Clarifies how the smart grid plays an important role in modern smart technologies• Introduces the basic concepts of modernization of smart grid with the assumption of basic knowledge of mathematics and power systems• Describes the structure of technologies based on Internet of Things (IoT), which acts like a bridge to cover the gap between the physical and virtual worlds required for the realization of the smart grid• Includes practical examples of the smart grid and energy saving• Illustrates the integration of renewable energy sources with worked examples• Enables readers to engage with the immediate development of power systems by using smart approaches for future smart grids

Smart technologies, such as artificial intelligence and machine learning, play a vital role in modeling, analysis, performance prediction, effective control, and utilization of smart energy systems. This book presents novel concepts in the development of smart cities and smart grids as well as discusses the technologies involved in producing efficient and economically feasible energy technologies around the world.It comprehensively covers important topics, including optimization methods for smart grids, power converters, smart meters, load frequency control, automatic generation control, and power electronics for smart grids.This book focuses mainly on three areas of electrical engineering: control systems, power electronics, and renewable resources, including artificial intelligence for the development of smart electrical grids.Key Features• Clarifies how the smart grid plays an important role in modern smart technologies• Introduces the basic concepts of modernization of smart grid with the assumption of basic knowledge of mathematics and power systems• Describes the structure of technologies based on Internet of Things (IoT), which acts like a bridge to cover the gap between the physical and virtual worlds required for the realization of the smart grid• Includes practical examples of the smart grid and energy saving• Illustrates the integration of renewable energy sources with worked examples• Enables readers to engage with the immediate development of power systems by using smart approaches for future smart grids

The text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of industrial and medical IoT Illustrates applications of the IoT in robotics, smart grid, and smart cities Presents real-time examples for better understandingThe text comprehensively discusses design principles, modernization techniques, advanced developments in artificial intelligence.This will be helpful for senior undergraduates, graduate students, and academic researchers in diverseengineering fields including electrical, electronics and communication, and computer science.

The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.This book: Discusses data acquisition by the internet of things for real-time monitoring of solar cells. Covers artificial neural network techniques, solar collector optimization, and artificial neural network applications in solar heaters, and solar stills. Details solar analytics, smart centralized control centers, integration of microgrids, and data mining on solar data. Highlights the concept of asset performance improvement, effective forecasting for energy production, and Low-power wide-area network applications. Elaborates solar cell design principles, the equivalent circuits of single and two diode models, measuring idealist factors, and importance of series and shunt resistances.The text elaborates solar cell design principles, the equivalent circuit of single diode model, the equivalent circuit of two diode model, measuring idealist factor, and importance of series and shunt resistances. It further discusses perturb and observe technique, modified P&O method, incremental conductance method, sliding control method, genetic algorithms, and neuro-fuzzy methodologies. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.

The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.This book: Discusses data acquisition by the internet of things for real-time monitoring of solar cells. Covers artificial neural network techniques, solar collector optimization, and artificial neural network applications in solar heaters, and solar stills. Details solar analytics, smart centralized control centers, integration of microgrids, and data mining on solar data. Highlights the concept of asset performance improvement, effective forecasting for energy production, and Low-power wide-area network applications. Elaborates solar cell design principles, the equivalent circuits of single and two diode models, measuring idealist factors, and importance of series and shunt resistances.The text elaborates solar cell design principles, the equivalent circuit of single diode model, the equivalent circuit of two diode model, measuring idealist factor, and importance of series and shunt resistances. It further discusses perturb and observe technique, modified P&O method, incremental conductance method, sliding control method, genetic algorithms, and neuro-fuzzy methodologies. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.

The text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of industrial and medical IoT Illustrates applications of the IoT in robotics, smart grid, and smart cities Presents real-time examples for better understandingThe text comprehensively discusses design principles, modernization techniques, advanced developments in artificial intelligence.This will be helpful for senior undergraduates, graduate students, and academic researchers in diverseengineering fields including electrical, electronics and communication, and computer science.

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units. It also highlights the importance of adaptive learning techniques for controlling autonomous microgrids. It further presents optimization-based computing techniques like fuzzy logic, and neural networks to enhance the computational speed.FeaturesDiscusses heuristic techniques and evolutionary algorithms in microgrids optimization problemsCovers operation management, distributed control approaches, and conventional control methods for microgridsPresents intelligent control for energy management and battery charging systemsHighlights a comprehensive treatment of power sharing in DC microgridsExplains control of low-voltage microgrids with master-slave architecture, where distributed energy resources interface with the grid by means of conventional current-driven invertersIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and environmental engineering.

The Internet of Things (IoT) and blockchain are two new technologies that combine elements in many ways. A system where the virtual and physical worlds interact is created by integrating pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol, and embedded devices. A massive number of linked devices and vast amounts of data present new prospects for developing services that can directly benefit the economy, environment, society, and individual residents. Due to the size of IoT and insufficient data security, security breaches may have a huge impact and negative effects. IoT not only connects gadgets but also people and other entities, leaving every IoT component open to a wide variety of assaults. The implementation and application of IoT and blockchain technology in actual scientific, biomedical, and data applications are covered in this book. The book highlights important advancements in health science research and development by applying the distinctive capabilities inherent to distributed ledger systems. Each chapter describes the current uses of blockchain in real-world data collection, medicine development, device tracking, and more meaningful patient interaction. All of these are used to create opportunities for expanding health science research. This paradigm change is studied from the perspectives of pharmaceutical executives, biotechnology entrepreneurs, regulatory bodies, ethical review boards, and blockchain developers.Key Features:Provides a foundation for the implementation process of blockchain and IoT devices based on healthcare-related technologyImage processing and IoT device researchers can correlate their work with other requirements of advanced technology in the healthcare domainConveys the latest technology, including artificial intelligence and machine learning, in healthcare-related technologyUseful for the researcher to explore new things like security, cryptography, and privacy in healthcare related technologyTailored for people who want to start in healthcare-related technology with blockchain and IoTThis book is primarily for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.

The Internet of Things (IoT) and blockchain are two new technologies that combine elements in many ways. A system where the virtual and physical worlds interact is created by integrating pervasive computing, ubiquitous computing, communication technologies, sensing technologies, Internet Protocol, and embedded devices. A massive number of linked devices and vast amounts of data present new prospects for developing services that can directly benefit the economy, environment, society, and individual residents. Due to the size of IoT and insufficient data security, security breaches may have a huge impact and negative effects. IoT not only connects gadgets but also people and other entities, leaving every IoT component open to a wide variety of assaults. The implementation and application of IoT and blockchain technology in actual scientific, biomedical, and data applications are covered in this book. The book highlights important advancements in health science research and development by applying the distinctive capabilities inherent to distributed ledger systems. Each chapter describes the current uses of blockchain in real-world data collection, medicine development, device tracking, and more meaningful patient interaction. All of these are used to create opportunities for expanding health science research. This paradigm change is studied from the perspectives of pharmaceutical executives, biotechnology entrepreneurs, regulatory bodies, ethical review boards, and blockchain developers.Key Features:Provides a foundation for the implementation process of blockchain and IoT devices based on healthcare-related technologyImage processing and IoT device researchers can correlate their work with other requirements of advanced technology in the healthcare domainConveys the latest technology, including artificial intelligence and machine learning, in healthcare-related technologyUseful for the researcher to explore new things like security, cryptography, and privacy in healthcare related technologyTailored for people who want to start in healthcare-related technology with blockchain and IoTThis book is primarily for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, and biomedical engineering.

This book exhibits a unique way of explaining nanomaterials and devices and analyzing their design parameters to meet the sub-nanoregime challenges for low-power chip design. Since process variability, device sizing, and power supply scaling are ongoing challenges in very large-scale integration (VLSI) circuit designs, this book highlights the conventional and novel nanomaterials, devices and circuits, leakage current mitigation techniques, and other important trade-offs along with exhaustive analysis. More focus has been placed throughout the book on various trade-offs for high-speed and low-power VLSI devices and circuits co-design. This book:Discusses advanced nano-semiconductor devices such as FinFET, nanowires, tunnel field-effect transistors, carbon nanotube field-effect transistors, and high-electron-mobility transistorsPresents high-performance semiconductor devices at nanoscale technology nodes for the analysis of quantum effects and their impact on circuits and systemsCovers power dissipation and reduction techniques for high-performance devicesExplains both silicon and non-silicon devices for various applications like digital logic and analog/radio frequency applicationsExamines the difficulties and practical design approaches for extremely low-power analog-integrated circuitsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, materials science, nanoscience, and nanotechnology.

The book explores the applications of artificial intelligence in healthcare systems, with a focus on its use in diagnosis, treatment, and prevention. It provides an overview of the current state of artificial intelligence in healthcare and discusses the challenges and opportunities of implementing intelligent healthcare systems. The text covers topics such as assistive technology for remote patient monitoring, and applications of explainable artificial intelligence in healthcare.This book:Covers a comprehensive overview of the current applications of artificial intelligence in healthcare, including diagnostic imaging, drug discovery, patient monitoring, and personalized medicine.Discusses data management techniques for healthcare, classification techniques for diagnosis, and risk assessment. Presents clustering techniques for patient stratification and dimensionality reduction techniques for feature selection.Explains neural networks for healthcare predictions and convolutional neural networks for medical imaging analysis. Illustrates big data analytics, management, and data security aspects in biomedical applications. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, computer engineering, and biomedical engineering.

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units. It also highlights the importance of adaptive learning techniques for controlling autonomous microgrids. It further presents optimization-based computing techniques like fuzzy logic, and neural networks to enhance the computational speed.FeaturesDiscusses heuristic techniques and evolutionary algorithms in microgrids optimization problemsCovers operation management, distributed control approaches, and conventional control methods for microgridsPresents intelligent control for energy management and battery charging systemsHighlights a comprehensive treatment of power sharing in DC microgridsExplains control of low-voltage microgrids with master-slave architecture, where distributed energy resources interface with the grid by means of conventional current-driven invertersIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and environmental engineering.

How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications.Key features:Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental healthHighlights the advancement in electronics and communication technology for green applicationsCovers smart energy harvesting/charging and power management techniques using machine learningExplains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network securityIllustrates prediction models for carbon emission and sequestration, environmental health, and climate changeThe book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.

The book presents a discussion of advanced novel technologies and their integration with intelligent sensor data processing. It focuses on optimization models for agriculture issues such as food traceability, supply chain management, and energy resource management. The text also covers case studies from agriculture-based companies to provide more practical exposure to the readers.Key Features:Discusses smart architectures through a blend of technologies such as the Internet of Things, edge computing, fog computing, and blockchain for agriculture data handling and automationCovers approaches toward supply chain management, food traceability, health ecosystems, and energy resource managementPresents solutions and approaches for real-time issues such as livestock monitoring, agriculture waste management, crop health, and irrigation issuesHighlights smart optimized solutions through novel farming technologies such as vertical farming, Unmanned Aerial Vehicles (UAV)-based farming solution, and agriculture cyberneticsShowcases smart strategies for agricultural waste management and explains crop health sensing methods, and applicationsIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, agricultural science, and information technology.

How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications.Key features:Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental healthHighlights the advancement in electronics and communication technology for green applicationsCovers smart energy harvesting/charging and power management techniques using machine learningExplains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network securityIllustrates prediction models for carbon emission and sequestration, environmental health, and climate changeThe book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.

The text will serve as a valuable resource for researchers, engineers, and students interested in gaining a comprehensive understanding of photovoltaic materials, from fundamental principles to emerging trends and future directions in solar cell technology.• Discusses topics such as synthesis processes, characterization techniques, and photovoltaic device architectures.• Focuses on emerging materials and technologies and includes novel approaches aimed at enhancing solar cell efficiency and durability.• Covers all aspects of photovoltaic materials from fundamentals to advanced topics such as perovskite solar cells and nanomaterials.• Explores the fundamental properties of photovoltaic materials, techniques for synthesizing them, and detailed characterization methods.• Emphasizes photovoltaic materials for hybrid energy systems that integrate solar power with other renewable energy sources like wind and hydroelectricity.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communication engineering, materials science, chemical engineering, nanoscience, and nanotechnology.

This edited volume presents cutting-edge research and practical insights into the development of sustainable, energy-efficient, and intelligent wireless communication systems for the next generation of digital connectivity. Integrating perspectives from academia, research, and industry, it explores topics ranging from energy harvesting, edge computing, and AI-driven network optimization to eco-friendly device manufacturing, dynamic spectrum sharing, and zero-carbon connectivity.The book also addresses the social, environmental, and policy implications of sustainable communication technologies while highlighting how green wireless infrastructures, cognitive radio systems, and low-power IoT designs can drive both technological innovation and environmental responsibility.Designed for researchers, engineers, and policymakers, this comprehensive reference provides a roadmap toward climate-conscious communication networks and serves as a guide for achieving green transformation in 6G, IoT, and future intelligent wireless systems.