Body centric wireless networking and communications is an emerging 4G technology for short (1-5 m) and very short (below 1 m) range communications systems, used to connect devices worn on (or in) the body, or between two people in close proximity. It has great potential for applications in healthcare delivery, entertainment, surveillance, and emergency services. This book brings together contributions from a multidisciplinary team of researchers in the field of wireless and mobile communications, signal processing and medical measurements to present the underlying theory, implementation challenges and applications of this exciting new technology.

Increased use of artificial intelligence (AI) is being deployed in many hospitals and healthcare settings to help improve health care service delivery. Machine learning (ML) and deep learning (DL) tools can help guide physicians with tasks such as diagnosis and detection of diseases and assisting with medical decision making.

Deep learning has started to be applied to solving many electromagnetic problems, including the development of fast modelling solvers, accurate imaging algorithms, efficient design tools for antennas, as well as tools for wireless links/channels characterization. The contents of this book represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate. With the development of deep learning techniques, improvement in learning capacity and generalization ability may allow machines to "learn" from properly collected data and "master" the physical laws in certain controlled boundary conditions. In the long run, a hybridization of fundamental physical principles with knowledge from training data could unleash numerous possibilities in electromagnetic theory and engineering that used to be impossible due to the limit of data information and ability of computation.

Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models.

Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the development of machine learning based tools to aid in its interpretation and use.

Machine learning explores the study and development of algorithms that can learn from and make predictions and decisions based on data. Applications of machine learning in wireless communications have been receiving a lot of attention, especially in the era of big data and IoT, where data mining and data analysis technologies are effective approaches to solving wireless system evaluation and design issues.

This new book from Richard Klemm, author of the highly successful Principles of Space-time Adaptive Processing (IEE,2002), examines the various applications of space-time adaptive processing including applications in OTH-radar, ground target tracking, STAP in real world clutter environments, jammer cancellation, superresolution, active sonar, seismics and communications. Including contributions from distinguished international authors, the book provides a unique overview of the field of space-time procesing. The book is divided in two parts; the first dealing with the classical adaptive suppression of airbourne and space based radar clutter and the second comprising of miscellaneous applications in other fields such as communications, underwater sound and seismics.

The past five decades have witnessed a rapid growth of computer models for simulating ecosystem functions and dynamics. This has been fueled by the availability of remote sensing data, computation capability, and cross-disciplinary knowledge. These models contain many submodules for simulating different processes and forcing mechanisms, albeit it has become challenging to truly understand the details due to their complexity. Most ecosystem models, fortunately, are rooted in a few core biophysical foundations, such as the widely recognized Farquhar model, Ball-Berry-Leuning and Medlyn family models, Penman-Monteith equation, Priestley-Taylor model, and Michaelis-Menten kinetics. After an introduction of biophysical essentials, four chapters present the core algorithms and their behaviors in modeling ecosystem production, respiration, evapotranspiration, and global warming potentials. Each chapter is composed of a brief introduction of the literature, in which model algorithms, their assumptions, and performances are described in detail. Spreadsheet (or Python codes) templates are included in each chapter for modeling exercises with different input parameters as online materials, which include datasets, parameter estimation, and real-world applications (e.g., calculations of global warming potentials). Users can also apply their own datasets. The materials included in this volume serve as effective tools for users to understand model behaviors and uses with specified conditions and in situ applications. 

Cognitive sensing systems combined with IoTs and smart technologies are used in countless applications such as industrial robotics, computer-aided diagnosis, brain-computer interface (BCI), human-computer interaction (HCI), telemedicine, driverless cars and smart energy systems.

This book deals with low-frequency diffraction characteristics of small aperture structures such as a narrow slit and a small hole and their periodic structures, with emphasis on the transmission maximum phenomena through those structures. A narrow slit structure in a conducting plane has been used as a simple model for a narrow slot planar antenna, for example, whereas a small hole structure has been widely used as an aperture-coupling element in a transmission cavity filter or a directional coupler in the microwave regime.

Conventional economics is often criticized for failing to reflect adequately the value of clean air and water, species diversity, and social and generational equity. By excluding biophysical and social systems from their analyses, many conventional economists overlook problems of the increasing scale of human impacts and the inequitable distribution of resources. Ecological Economics is an introductory-level textbook for an emerging paradigm that addresses this flaw in much economic thought. The book defines a revolutionary "transdiscipline" that incorporates insights from the biological, physical, and social sciences, and it offers a pedagogically complete examination of this exciting new field. It provides students with a foundation in traditional neoclassical economic thought, but places that foundation within a new interdisciplinary framework that embraces the linkages among economic growth, environmental degradation, and social inequity. Introducing the three core issues that are the focus of the new transdiscipline -- scale, distribution, and efficiency -- the book is guided by the fundamental question, often assumed but rarely spoken in traditional texts: What is really important to us? After explaining the key roles played by the earth's biotic and abiotic resources in sustaining life, the text is then organized around the main fields in traditional economics: microeconomics, macroeconomics, and international economics. The book also takes an additional step of considering the policy implications of this line of thinking. Ecological Economics includes numerous features that make it accessible to a wide range of students: more than thirty text boxes that highlight issues of special importance to students lists of key terms that help students organize the main points in each chapter concise definitions of new terms that are highlighted in the text for easy reference study questions that encourage student exploration beyond the text glossary and list of further readings An accompanying workbook presents an innovative, applied problem-based learning approach to teaching economics. While many books have been written on ecological economics, and several textbooks describe basic concepts of the field, this is the only stand-alone textbook that offers a complete explanation of both theory and practice. It will serve an important role in educating a new generation of economists and is an invaluable new text for undergraduate and graduate courses in ecological economics, environmental economics, development economics, human ecology, environmental studies, sustainability science, and community development.

Eigenstructure control involves modification of both the eigenvalues and eigenvectors of a system using feedback. Based on this key concept, algorithms are derived for the design of control systems using controller structures such as state feedback, output feedback, observer-based dynamic feedback, implicit and explicit modelfollowing, etc. The simple-to-use algorithms are well suited to evolve practical engineering solutions.

The book discusses homogenisation principles and mixing rules for the determination of the macroscopic dielectric and magnetic properties of different types of media. The effects of structure and anisotropy are discussed in detail, as well as mixtures involving chiral and nonlinear materials. High frequency scattering phenomena and dispersive properties are also discussed.

In an era defined by unprecedented environmental challenges, social inequalities, and corporate responsibility, the concept of Environmental, Social, and Governance (ESG) has emerged as a transformative force. It is a set of practices used to evaluate the operational performance of a company or industry sector as it relates to social and environmental impact.

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time.

Imaging sensors are crucial for electronic imaging systems, including digital cameras, camera modules, medical imaging equipment, night vision equipment, radar and sonar, drones, and many others. This contributed book covers a wide range of frequency, sensing modalities and applications, including x-ray beam imaging sensors, optical scattering sensors, smart visual sensors in robotic systems, tuneable diode Laser absorption spectroscopy (TDLAS) sensors, light detection and ranging (LiDAR) sensors, microwave imaging sensors, electro-magnetic imaging with ultra-wideband (UWB) sensors, synthetic aperture radar (SAR), electrical resistance tomography (ERT) sensors, electrical tomography for medical applications, electro-magnetic tomography (EMT) sensors, micro sensors for cell and blood imaging, and ultrasound imaging sensors.

The need to improve the reliability and robustness of power systems and smart grids makes protection of sensitive equipment and power transmission and distribution lines against lightning-related effects a primary concern. Renewable electricity generation capacity has been increasing all over the world, and lightning can cause failures either by hitting the turbines or panels directly or inducing transients on the control systems that lead to equipment failure, malfunction or degradation.

Novel Radar Techniques and Applications presents the state-of-the-art in advanced radar, with emphasis on ongoing novel research and development and contributions from an international team of leading radar experts.

Novel Radar Techniques and Applications presents the state-of-the-art in advanced radar, with emphasis on ongoing novel research and development and contributions from an international team of leading radar experts. Each section gives an overview of the latest research and perspectives of the future, and includes a number of chapters dedicated to specific techniques in conjunction with existing operational, experimental or conceptual applications.

In this book, John Roemer presents a unified and rigorous theory of political competition between parties. He models the theory under many specifications, including whether parties are policy oriented or oriented toward winning, whether they are certain or uncertain about voter preferences, and whether the policy space is uni- or multidimensional. He examines all eight possible combinations of these choice assumptions, and characterizes their equilibria.

He fleshes out a model in which each party is composed of three different factions concerned with winning, with policy, and with publicity. Parties compete with one another. When internal bargaining is combined with external competition, a natural equilibrium emerges, which Roemer calls party-unanimity Nash equilibrium.

Assuming only the distribution of voter preferences and the endowments of the population, he deduces the nature of the parties that will form. He then applies the theory to several empirical puzzles, including income distribution, patterns of electoral success, and why there is no labor party in the United States.

Power electronics is a field in constant evolution. Power grids require further developments, and the overall society electrification requires enhanced power electronics and motor drives. New semiconductor wide bandgap devices and modern implementation hardware software play a key role, power converters for the direct current and alternating current electrical conversion, for changing voltage or frequency have become integrated with layers of communication, control, and information processing.

Free Space Optical (FSO) Communication uses light propagation in free space (air, outer space, and vacuum) to wirelessly transmit data for telecommunications and communication networking. FSO Communication is a key wireless and high-bandwidth technology for high speed large-capacity terrestrial and aerospace communications, which is often chosen as a complement or alternative to radio frequency communication. The propagating optical wave can be influenced negatively by random atmospheric changes such as wind speed, temperature, relative humidity, and pressure, thermal expansion, earthquakes, and high-rise buildings. This edited book covers the principles, challenges, methodologies, techniques, and applications of Free Space Optical Communication for an audience of engineers, researchers, scientists, designers, and advanced students.

This third and final volume in the Principles of Modern Radar series brings all the fundamentals and advanced techniques of the prior volumes to their logical conclusion by presenting the applications of radar. This unique book provides in-depth discussions of the most important areas in current radar practice, serving primarily radar practitioners and advanced graduate students.

The contributions to this volume attempt to apply different aspects of Ilya Prigogine's Nobel-prize-winning work on dissipative structures to nonchemical systems as a way of linking the natural and social sciences. They address both the mathematical methods for description of pattern and form as they evolve in biological systems and the mechanisms of the evolution of social systems, containing many variables responding to subjective, qualitative stimuli.

The mathematical modeling of human systems, especially those far from thermodynamic equilibrium, must involve both chance and determinism, aspects both quantitative and qualitative. Such systems (and the physical states of matter which they resemble) are referred to as self-organized or dissipative structures in order to emphasize their dependence on the flows of matter and energy to and from their surroundings. Some such systems evolve along lines of inevitable change, but there occur instances of choice, or bifurcation, when chance is an important factor in the qualitative modification of structure. Such systems suggest that evolution is not a system moving toward equilibrium but instead is one which most aptly evokes the patterns of the living world.

The volume is truly interdisciplinary and should appeal to researchers in both the physical and social sciences. Based on a workshop on dissipative structures held in 1978 at the University of Texas, contributors include Prigogine, A. G. Wilson, Andre de Palma, D. Kahn, J. L. Deneubourgh, J. W. Stucki, Richard N. Adams, and Erick Jantsch.

The papers presented include Allen, "Self-Organization in the Urban System"; Robert Herman, "Remarks on Traffic Flow Theories and the Characterization of Traffic in Cities"; W. H. Zurek and Schieve, "Nucleation Paradigm: Survival Threshold in Population Dynamics"; De Palma et al., "Boolean Equations with Temporal Delays"; Nicholas Georgescu-Roegin, "Energy Analysis and Technology Assessment"; Magoroh Maruyama, "Four Different Causal Meta-types in Biological and Social Sciences"; and Jantsch, "From Self-Reference to Self-Transcendence: The Evolution of Self-Organization Dynamics."

Swarm Intelligence (SI) is one of the most important and challenging paradigms under the umbrella of computational intelligence. It focuses on the research of collective behaviours of a swarm in nature and/or social phenomenon to solve complicated and difficult problems which cannot be handled by traditional approaches. Thousands of papers are published each year presenting new algorithms, new improvements and numerous real world applications. This makes it hard for researchers and students to share their ideas with other colleagues; follow up the works from other researchers with common interests; and to follow new developments and innovative approaches. This complete and timely collection fills this gap by presenting the latest research systematically and thoroughly to provide readers with a full view of the field of swarm. Students will learn the principles and theories of typical swarm intelligence algorithms; scholars will be inspired with promising research directions; and practitioners will find suitable methods for their applications of interest along with useful instructions.

Tactical Persistent Surveillance Radar with Applications introduces technologists to the essential elements of persistent surveillance of tactical targets from both a hardware and software point of view, using simple Mathcad, Excel and Basic examples with real data. It is based on the type of surveillance done by drones like Scan Eagle, Predator, Reaper, Global Hawk, and manned aircraft like U-2, ASTOR, and JSTARS as well as spacecraft. The general topic is cellphone and datalink intercept, ground moving target radar, synthetic aperture radar, navigation, tracking, electronic scanning and cueing electro-optical sensors for activity based surveillance.

Writing As a Human Activity offers a collection of original essays that attempt to account for Charles Bazerman’s shaping influence on the field of writing studies. Through scholarly engagement with his ideas, the 16 chapters—written by authors from Asia, Europe, North America, and South America—address Bazerman’s foundational scholarship on academic and scientific writing, genre theory, activity theory, writing research, writing across the curriculum, writing pedagogy, the sociology of knowledge, new media and technology, and international aspects of writing. Collectively, the authors use Bazerman’s work as a touchstone to consider contemporary contexts of writing as a human activity.