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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.

Advances in telemedicine technologies have offered clinicians greater levels of real-time guidance and technical assistance for diagnoses, monitoring, operations or interventions from colleagues based in remote locations. The topic includes the use of videoconferencing, mentorship during surgical procedures, or machine-to-machine communication to process data from one location by programmes running in another.

The inexorable increase in levels of integration of electronic circuits has most often been exploited using digital signals. So much so that design engineers have sought to digitise analogue signals as early as possible in the signal processing chain, and performed digital processing wherever practicable.

Radar interferometers provide a cost-effective radar architecture to achieve enhanced angle accuracy for enhanced target tracking. The objective of this book is to quantify interferometer angle estimation accuracy by developing a general understanding of various radar interferometer architectures and presenting a comprehensive understanding of the effects of radar-based measurement errors on angle-of-arrival estimation. As such this book is primarily directed toward tracking radars but will also discuss imaging applications as well.

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.

Landmark collection of writing about music and music education

Applications of Research in Music Behavior stresses the practical applications and implications of investigating music behavior in a systematic, objective manner. Specifically, the book focuses on factors influencing the teaching of children; efficient methods for instructing future teachers; elements affecting musical perception, likes, and dislikes; and innovative efforts to investigate new areas of study. Recent studies by twenty-six nationally known educators that use objective strategies associated with experimental and behavioral research are presented to illustrate how people learn about music and how people are taught to make music.

The research studies are introduced by an article emphasizing the usefulness of research literature in devising a teaching strategy and are grouped into four sections: Teaching Music to Children, Teaching Future Teachers, Preference and Perception, and New Horizons. The concluding article is an allegorical proposal for balance and perspective in the consideration of music education.
 

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.

Aircraft are becoming increasingly reliant on computing and networking technologies, with the advent of the Internet of Things, but this makes them vulnerable to cyber-attacks. This multidisciplinary book is at the cross section of aircraft systems, cybersecurity, and defence technologies. It covers the very latest in defending military and commercial aircraft against cyber-attacks.