This book is open access under a CC BY-NC-ND 4.0 license. This open access book is the first compilation that reviews a wide range of social determinants of health (SDHs) for non-communicable diseases (NCDs) and healthy ageing in Japan. With the highest life expectancy and the largest elderly population in the world, Japan has witnessed health inequality by region and social class becoming more prevalent since the 2000s. The first half of this volume describes in detail major NCDs, such as cancers, heart and kidney diseases, diabetes, stroke, and metabolic syndrome. The second half, on the other hand, explores various SDHs relating to healthy ageing. All chapters review and focus on SDHs, particularly health inequality associated with socio-economic status and social capital, which are widely addressed in the field of social epidemiology. The book makes the argument that “Health for All” advocated by the WHO should be implemented based on social justice and benefits for the greater society. Public health researchers and policymakers, both in Japan and other nations, will gain scientific evidence from this book to prepare for the coming era as ageing becomes a global issue.

"This book examines how wireless sensor nodes with cognitive radio capabilities can address these network challenges and improve the spectrum utilization, presenting a broader picture on the applications, architecture, challenges, and open research directions in the area of WSN research"--Provided by publisher.

This book fills a gap in the existing literature by combining a plethora of WSN-based emerging technologies into a single source so that reviewers can form opinions regarding these technologies. It presents different types of emerging communication technologies based on WSNs and describes how wireless sensor networks can be integrated with other communication technologies. It covers many of the new techniques and demonstrates the application of WSNs. The book is composed of 14 chapters, divided into four parts.

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.

This book reports the latest advances on the design and development of mobile computing systems, describing their applications in the context of modeling, analysis and efficient resource management. It explores the challenges on mobile computing and resource management paradigms, including research efforts and approaches recently carried out in response to them to address future open-ended issues. The book includes 26 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of mobile computing, from basic concepts to advanced findings, reporting the state-of-the-art on resource management in such environments. It is mainly intended as a reference guide for researchers and practitioners involved in the design, development and applications of mobile computing systems, seeking solutions to related issues. It also represents a useful textbook for advanced undergraduate and graduate courses, addressing special topics such as: mobile and ad-hoc wireless networks; peer-to-peer systems for mobile computing; novel resource management techniques in cognitive radio networks; and power management in mobile computing systems.

This book gathers high-quality papers presented at the 2nd International Conference on Communication, Devices & Computing (ICCDC 2019), held at Haldia Institute of Technology from March 14–15, 2019. The papers are divided into three main areas: communication technologies, electronics circuits & devices and computing. Written by students and researchers from around the world, they accurately reflect the global status quo.