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Melanesian Mainstream
Citizens of Vanuatu (ni-Vanuatu) perceive stringband music as a marker of national identity, an indicator of their cultural, stylistic, and musical heritage. Through extensive field and ethnographic research, Melanesian Mainstream offers a detailed historical record of the roots, context, evolution, and impact of stringband music. Beyond chronicling the genre’s history and cultural significance, this thorough monograph positions the genre’s musical hybridity, communal lyrics, and unique organizational structures as key factors in the anthropological understanding of ni-Vanuatu socio-cultural history.
Human Interaction, Emerging Technologies and Future Applications III
This book reports on research and developments in human-technology interaction. A special emphasis is given to human-computer interaction, and its implementation for a wide range of purposes such as healthcare, aerospace, telecommunication, and education, among others. The human aspects are analyzed in detail. Timely studies on human-centered design, wearable technologies, social and affective computing, augmented, virtual and mixed reality simulation, human rehabilitation and biomechanics represent the core of the book. Emerging technology applications in business, security, and infrastructure are also critically examined, thus offering a timely, scientifically-grounded, but also professionally-oriented snapshot of the current state of the field. The book is based on contributions presented at the 3rd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET 2020, held on August 27-29, 2020. It offers a timely survey and a practice-oriented reference guide to researchers and professionals dealing with design and/or management of the new generation of service systems.
Melanesian Mainstream
Citizens of Vanuatu (ni-Vanuatu) perceive stringband music as a marker of national identity, an indicator of their cultural, stylistic, and musical heritage. Through extensive field and ethnographic research, Melanesian Mainstream offers a detailed historical record of the roots, context, evolution, and impact of stringband music. Beyond chronicling the genre’s history and cultural significance, this thorough monograph positions the genre’s musical hybridity, communal lyrics, and unique organizational structures as key factors in the anthropological understanding of ni-Vanuatu socio-cultural history.
The City Record
None
Internet of Things and Data Analytics Handbook
This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and ...
Timber Engineering
Timber construction is one of the most prevalent methods of constructing buildings in North America and an increasingly significant method of construction in Europe and the rest of the world. Timber Engineering deals not only with the structural aspects of timber construction, structural components, joints and systems based on solid timber and engineered wood products, but also material behaviour and properties on a wood element level. Produced by internationally renowned experts in the field, this book represents the state of the art in research on the understanding of the material behaviour of solid wood and engineered wood products. There is no comparable compendium currently available on...
Clustering for Data Mining
Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clustering--have lacked the theoretical attention that wou
