Books published by Springer Verlag, Singapore

This book presents selected research and development on virtual reality (VR) and serious games (SG) applications to assist children with Autism Spectrum Disorder (ASD) in their learning of different skills. More specifically, several VR serious games are designed to train children with ASD on learning skill, life skill, and job skill.

Servicescape and E-servicescape Design Issues in Emerging Markets: Imperatives, Challenges, and Agenda Setting.- Designing the Service Experience for Online Shoppers in Emerging Economies.- Service Issues affecting Consumer Behaviour towards E-commerce Purchases in India.- E-Servicescape in Service: Theoretical Underpinnings and Emerging Market Implications.- Institutional Arrangements and Inter-Organizational Governance in Service Companies.- Distribution Service Issues in Emerging Rural Markets With Special Reference to India.- Marketing-Mix and Customer Loyalty in Services Marketing.

This book reflects the latest research trends, methods, and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of research that is highly relevant to current developments in a number of technological domains, the subjects it covered include intelligent computing, information processing, communication technology, automatic control, etc. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academicians, and industrial professionals to present the most innovative research and development in the field of rail transportation electrical and information technologies. Engineers and researchers in academia, industry, and government will also explore an insightful view of the solutions that combine ideas from multiple disciplines in this field. The volumes serve as an excellent reference work for researchersand graduate students working on rail transportation and electrical and information technologies.

This book is an exploration that shows us how sentiment and duty form the core of Japanese culture. It looks at how the combination of common sense, culture, and social norms influence people's ways of thinking and behavior. Although the focus is Japan in looking at these interrelationships, the author draws on his experience and knowledge of other countries from his days before graduate school, when he traveled the world as a backpacker. Now, from the world of academia, he uses his knowledge of economic analysis to consider the similarities and differences in human behavior among countries and cultures. The wide-ranging scope of the book takes in marital life, education, sports, business, and culture in modern Japanese society. Why, for instance, does linguistic heterogeneity generally have negative effects on FIFA rankings of national soccer teams, and what does this have to do with the difficulty of technology transfer among businesses in multilingual countries? Why was the demand for the film Bohemian Rhapsody, about the British rock group Queen, so high in Japan? How do Kazuo Ishiguro's novels resemble scenarios related to Japan's long-term public finance prospects? How does the depiction of contemporary life compared with "the old days" in the films of Yasujiro Ozu provide a cautionary tale for aging societies today? How are older people with grandchildren more likely to accept tax increases to support future generations? And how is the Japanese government actively drawing on behavioral economics to appeal to public sentiment to contain the spread of COVID-19. These and a multitude of other questions are tackled by the backpacker who entered academia to become an economist and who now goes on a journey to find the answers. Readers can take the trip with him under his expert guidance, as he artfully combines sentiment, duty, and economic analysis.

This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.

This book gathers selected papers presented at the International Conference on SMART Automatics and Energy (SMART-ICAE 2021), held in Far Eastern Federal University, Vladivostok, Russian Federation during 7¿8 October 2021. The book will be useful for wide range of specialists in the field of designing innovative solutions and organizational measures that increase the efficiency of the use of industry technologies in their various manifestations. The issue is also of interest to scientific and engineering personnel engaged in the achievements and farsighted researches in the area of intellectual technology use for solving of real, applied tasks in various areas of industries and policies of nations and systems and for students and undergraduates studying ¿Power systems engineering and electrotechnics¿, ¿Automatized systems¿, ¿Managerial systems in power technologies¿, etc., and postgraduate students in the corresponding branches of study.

This book reconstructs the philosophical issues informing the debate between the makers of modern India: Ambedkar and Gandhi. At one level, this debate was about a set of different but interconnected issues: caste and social hierarchies, untouchability, Hinduism, conversion, temple entry, and political separatism. The introduction to this book provides a brief overview of the engagements and conflicts in Gandhi and Ambedkar's central arguments. However, at another level, this book argues that the debate can be philosophically re-interpreted as raising their differences on the following issues: The nature of the self,The relationship between the individual self and the community,The appropriate relationship between the constitutive encumbrances of the self and a conception of justice,The relationship between memory, tradition, and self-identity. Ambedkar and Gandhi¿scontrary conceptions of the self, history,itihaas, community and justice unpack incommensurable world views. These can be properly articulated only as very different answers to questions about the relationship between the present and the past. This book raises these questions and also establishes the link between the Ambedkar--Gandhi debate in the early 20th century and its re-interpretation as it resonates in the imagination and writing of marginalized social groups in the present times.

This book examines interactions and discusses intersectionality between public international law and private international law. With contributions from scholars from USA, Canada, Australia, India and EU, this book brings out truly international perspectives on the topic. The contributions are arranged in four themes¿Public international law and private international law: historical and theoretical considerations of the boundary; Harmonisation of private international law by public international law instruments: evaluation of process, problems, and effectiveness; Case studies of intersectionality between public international law and private international law; Future trends in the relationship between public international law and private international law. The ultimate aim of this book is to analyse whether these two legal disciplines become convergent or they are still divergent as usual. With wide coverage spanning across these four themes, the book has takeaways for a wide readership. For scholars and researchers in the fields of public international law and private international law, this book sparks further thoughts and debates in both disciplines and highlight areas for continuing research. For practitioners, this book offers fresh insights and perspectives on contemporaneous issues of significance. This book is also be a great resource for students at both undergraduate and postgraduate levels taking subjects such as public international law or private international law or some related disciplines such as international sale of goods, international trade law or international investment law to advance their knowledge and understanding of the disciplines.

This book shows how telecom, broadcast, and Internet researchers as well as experts from Japan's leading mobile operators interpret, analyze, and evaluate the emerging phenomenon of the Japanese broadband ecosystem. The broadband ecosystem, as it rapidly changes against the backdrop of swift technological progress, is forcing major changes in the existing socioeconomic framework and generating many policy issues that require discussion.The book aims to provide a theoretical and practical framework for policymakers to address these issues from a broader perspective than has been available in the past. The topics addressed in this book cover sharing of 5G infrastructure, online platform regulation, diffusion of autonomous driving, content industry, trends and use cases of 5G, capacity development for AI, ride-hailing service, smartphone games, the right to be forgotten, and the economic value of personal information.Although this book cannot provide definitive answers toall these recently emerging and rapidly changing issues, it does provide important guidance for evidence-based discussion involving policymakers and researchers working on these issues. It is also recommended for graduate students who want to enter this challenging field of policy discussion.

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Focusing on methods that can speed up large-scale gradient optimization through both algorithm optimizations and careful system implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed machine learning model: parallel strategy, data compression and synchronization protocol.Written in a tutorial style, it covers a range of topics, from fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appealto a broad audience in the field of machine learning, artificial intelligence, big data and database management.