Books on intercultural communication are rarely written with an intercultural readership in mind. In contrast, this multinational team of authors has put together an introduction to communicating across cultures that uses examples and case studies from around the world. The book further covers essential new topics, including international conflict, social networking, migration, and the effects technology and mass media play in the globalization of communication. Written to be accessible for international students too, this text situates communication theory in a truly global perspective. Each chapter brings to life the links between theory and practice and between the global and the local, introducing key theories and their practical applications. Along the way, you will be supported with first-rate learning resources, including: • theory corners with concise, boxed-out digests of key theoretical concepts • case illustrations putting the main points of each chapter into context • learning objectives, discussion questions, key terms and further reading framing each chapter and stimulating further discussion • a companion website containing resources for instructors, including multiple choice questions, presentation slides, exercises and activities, and teaching notes. This book will not merely guide you to success in your studies, but will teach you to become a more critical consumer of information and understand the influence of your own culture on how you view yourself and others.
The Chinese have been one of the oldest and largest ethnic communities across the world with well over 35 million people living overseas. Despite their relatively large cultural distance from the host countries, and the ordeals faced by generations of Chinese immigrants due to stereotypes, prejudice, and racism, many have adjusted remarkably well economically and socially in their new country. But how do generations of Chinese immigrants reconcile seemingly incompatible demands from home and host cultures to negotiate bicultural or multicultural identities? Identity, Hybridity and Cultural Home explores the multifaceted concept of cultural identity to uncover the meaning of cultural home for Chinese immigrants in multicultural environments. It questions the conventional notion of a stable and secure cultural identity, challenges the common conception of bilingualism and biculturalism, analyses hybrid identities, and identifies directions for future research on the critical issue of searching for a cultural home in a multicultural society.
Non-suicidal self-injury (NSSI) is the deliberate harming of one's body without suicidal intent. NSSI tends to be secretive, often involving cutting, bruising, or burning on hidden parts of the body. While NSSI often occurs among adolescents, it is not limited to that age group. Communication and NSSI intersect in many ways, including conversation among family members, consultation with healthcare providers, representation in the media, discourse among people who self-injure, and even communication with oneself. Each chapter in Communicating With, About, and Through Self-Harm: Scarred Discourse addresses a different context of communication crucial to our understanding NSSI. An international group of clinicians and communication specialists describe, analyze, and explain how NSSI is communicated about, what NSSI is communicating, and how can we do a better job in communicating with others about NSSI. This book’s fundamental purpose is to empower individuals who self-injure as well as their families, friends, healthcare providers, and communities to better understand and deal with NSSI and the pressures that cause it.
This book advances a new understanding of acculturation processes for older migrants, drawing on empirical data from migrants of Chinese heritage in Australia. It challenges the traditional models of acculturation, questions the conventional notion of integration and analyses the fluid nature of cultural identities. Drawing on insights from environmental gerontology, intercultural communication and acculturation theories, it conceptualises ageing in a foreign land as a home-building process, highlighting the collective contributions of individual, community, social, cultural, technological and environmental factors to older migrants’ well-being. A consideration of what it means to age ‘in place’ for those whose home is not necessarily attached to one place and one culture, this volume will appeal to social scientists with interests in ageing, gerontology, migration and diaspora, as well as those working in the fields of aged care policy.
This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map—in addition to training better recognition, tracking, and decision models. Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled “Teaching and Learning from this Book” was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find extensive references for an effective, deeper exploration of the various technologies.
Optical Fiber Sensing Technologies/ b Explore foundational and advanced topics in optical fiber sensing technologies In Optical Fiber Sensing Technologies: Principles, Techniques, and Applications, a team of distinguished researchers delivers a comprehensive overview of all critical aspects of optical fiber sensing devices, systems, and technologies. The book moves from the basic principles of the technology to innovation methods and a broad range of applications, including Bragg grating sensing technology, intra-cavity laser gas sensing technology, optical coherence tomography, distributed vibration sensing, and acoustic sensing. The accomplished authors bridge the gap between innovative new research in the field and practical engineering solutions, offering readers an unmatched source of practical, application-ready knowledge. Ideal for anyone seeking to further the boundaries of the science of optical fiber sensing or the technological applications for which these techniques are used, Optical Fiber Sensing Technologies: Principles, Techniques, and Applications also includes: Thorough introductions to optical fiber and optical devices, as well as optical fiber Bragg grating sensing technology Practical discussions of Extrinsic-Fabry-Perot-Interferometer-based optical fiber sensing technology, acoustic sensing technology, and high-temperature sensing technology Comprehensive explorations of assemble free micro-interferometer-based optical fiber sensing technology In-depth examinations of optical fiber intra-cavity laser gas sensing technology Perfect for applied and semiconductor physicists, Optical Fiber Sensing Technologies: Principles, Techniques, and Applications is also an invaluable resource for professionals working in the semiconductor, optical, and sensor industries, as well as materials scientists and engineers for measurement and control.
This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.
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