This book presents research focused on the design of fractal antennas using bio-inspired computing techniques. The authors present designs for fractal antennas having desirable features like size reduction characteristics, enhanced gain, and improved bandwidths. The research is summarized in six chapters which highlight the important issues related to fractal antenna design and the mentioned computing techniques. Chapters demonstrate several applied concepts and techniques used in the process such as Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization (BFO). The work aims to provide cost-effective and efficient solutions to the demand for compact antennas due to the increasing demand for reduced sizes of components in modern wireless communication devices. A key feature of the book includes an extensive literature survey to understand the concept of fractal antennas, their features, and design approaches. Another key feature is the systematic approach to antenna design. The book explains how the IE3D software is used to simulate various fractal antennas, and how the results can be used to select a design. This is followed by ANN model development and testing for optimization, and an exploration of ANN ensemble models for the design of fractal antennas. The bio-inspired computing techniques based on GA, PSO, and BFO are developed to find the optimal design of the proposed fractal antennas for the desired applications. The performance comparison of the given computing techniques is also explained to demonstrate how to select the best algorithm for a given bio-inspired design. Finally, the book explains how to evaluate antenna designs. This book is a valuable resource for students (from UG to PG levels) and research scholars undertaking learning modules or projects on microstrip and patch antenna design in communications or electronics engineering courses.

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 book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning, and are structured to make the volume accessible to a wide range of readers. Key Features: - 17 Chapters present information about the applications of AI and IoT in clinical medicine and plant biology - Provides examples of algorithms for heart diseases, Alzheimer’s disease, cancer, pneumonia and more - Includes techniques to detect plant disease - Includes information about the application of machine learning in specific imaging modalities - Highlights the use of a variety of advanced Deep learning techniques like Mask R-CNN - Each chapter provides an introduction and literature review and the relevant protocols to follow The book is an informative guide for data and computer scientists working to improve disease detection techniques in medical and life sciences research. It also serves as a reference for engineers working in the healthcare delivery sector.

Recent Advances in Biosensor Technology (Volume 1) is a comprehensive guide to the latest developments in biosensor technology, written by experts in the bioengineering and biosensor development. The book is an essential resource for researchers and biomedical engineers interested in the latest developments in biosensor technology. It covers a wide range of topics, including nanomaterials for biosensing applications, carbon-based nanomaterials for sensing applications, graphene-based nanomaterials, SPR-based biosensors in diagnostics and therapeutics, biosensors for cancer diagnosis and therapeutics, tissue engineering and more. One of the key features of this book is its detailed discussion of the novel research findings in biosensor technology, providing readers with the most up-to-date information in the field. Each chapter includes a comprehensive review of relevant literature, as well as practical examples to demonstrate the potential applications of biosensors in various fields. Furthermore, this book includes detailed references for further reading, making it an excellent resource for readers looking to deepen their understanding of biosensor technology.

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 book focuses on the advanced controller designs of flight vehicle maneuver and operation. Chapters explain advanced control mechanisms and algorithms for different controllers required in a flight vehicle system. The book topics such as air-disturbance fixed time controllers, algorithms for orbit and attitude computation, adaptive control modes, altitude stabilization, nonlinear vibration control, partial space elevator configuration, controls for formation flying and satellite cluster, respectively. Key features: - Includes an investigation of high-precision and high-stability control problems of flight vehicles - Multiple complex disturbances are considered to improve robust performance and control accuracy - Covers a variety of single spacecraft and distributed space systems (including hypersonic vehicles, flexible aircraft, rigid aircraft, and satellites) This book will be helpful to aerospace scientists and engineers who are interested in working on the development of flight vehicle maneuver and operation. Researchers studying control science and engineering, and advanced undergraduate and graduate students and professionals involved in the flight vehicle control field will also benefit from the information given in this book.

This book focuses on recent developments in integrating AI, machine learning methods, medical image processing, advanced network security, and advanced antenna design techniques to implement practical Mobile Health (M-Health) systems. The editors bring together researchers and practitioners who address several developments in the field of M-Health. Chapters highlight intelligent healthcare IoT and Machine Learning based systems for personalized healthcare delivery and remote monitoring applications. The contents also explain medical applications of computing technologies such as Wireless Body Area Networks (WBANs), wearable sensors, multi-factor authentication, and cloud computing. The book is intended as a handy resource for undergraduate and graduate biomedical engineering students and mobile technology researchers who want to know about the recent trends in mobile health technology.

This book is a guide to the application of ionic liquids (ILs) in the oil industry. It includes ten chapters that review basic and advanced topics. Starting with a general introduction to IL structure and properties, the book comprehensively explains the use of ILs in key petroleum extraction processes such as pollutant removal, demulsification, crude oil transport and oil recovery. Additional applications that are important for the sustainability management of petrochemical operations such as deepwell hydrate inhibition, CO2 capture, corrosion engineering, catalysis, hydrocarbon separation, bitumen extraction and stabilization are also included. Each chapter also provides bibliographic references for further reading. The wide range of topics makes this an informative reference to students and professionals in petroleum engineering, chemical engineering programs and any other training course that requires reading material for an understanding of the oil industry. General readers and researchers interested in the fascinating chemistry of ionic liquids will also enjoy this book.

Passive Location Method Based on Phase Difference Measurement presents groundbreaking information for developing passive positioning technologies. The author has put forward a series of innovative solutions from the perspective of engineering application theory with the aim of giving a basic understanding of the application of unambiguous phase difference localization techniques for long-range passive detection. On the basis of the existing linear solution of the double basis path difference positioning equation and the analysis of its intrinsic properties, this book starts from the study of the phase difference measurement method of the phase difference change rate, puts forward the concept of the differential function of the path difference per unit wavelength length and also discovers its jump law. It provides a possible way to solve the problem of unambiguous phase difference measurement. These results are of great significance to the development of passive localization techniques based on unambiguous phase difference measurement. Key Features: - Sequentially presents theoretical frameworks to build the readers knowledge for better understanding the topics - Presents a variety of unique method for solving kinematic positioning parameters and Doppler signal parameters by using unambiguous phase difference measurement. - Presents a variety of direction-finding and ranging methods based on short baseline array and using unambiguous phase difference measurement technology, and exhibits the method of constructing long baseline two-station direction finding and ranging with short baseline array - Presents a variety of two-station passive positioning methods based on angle measurement which are beneficial to improve the positioning accuracy on the basis of studying the relationship between the phase difference and angle - Presents the means to convert Doppler detection to the non-fuzzy phase difference measure, for the localization problem in which it is difficult to use the phase difference localization equation directly, since the accuracy of the phase difference measurement is better than that of the Doppler frequency difference - Presents a variety of new positioning methods and several novel concepts while demonstrating the theoretical exploration of passive location problem based on unambiguous phase difference measurement This reference is a resource for scholars, engineers and technicians involved in radio positioning research and the improvement of radar, satellite navigation systems, unmanned systems and Internet of Things infrastructure.

This book is a review of recent artificial intelligence approaches, initiatives and applications in engineering and science fields. It features contributions that highlight the use of techniques such as machine learning, mining engineering, modeling and simulation, and fuzzy logic methods in the fields of communication, networking and information engineering. The collection of chapters should inspire scholars involved in theoretical and applied sciences to contribute to research using computational intelligence principles and methods in their respective research communities. Professionals working on systems engineering, communications, innovative computing systems and adaptive technologies for sustainable growth, will also be able to benefit from the information provided in the book.