Yang Wang – författare

Addressing the intersections between cognitive, sociocultural, and sociolinguistic research, this volume explores bilingual development across educational contexts to discuss and uncover the influences and impact of language in school programming and everyday practices. Confronting a standard monolingual lens, this collection highlights the importance of applying cross-disciplinary approaches to examine bilingualism in relation to topics such as language politics, linguistic identities, students’ experiences at home and in schools, asset-based teaching and curricula, and overall benefits.

Ideal for courses in bilingualism, literacy, psychology, and language education, this text is an important resource for understanding and applying transdisciplinary, inclusive approaches to positively influence cognitive development, academic learning, and identity formation in bilingual education.

Addressing the intersections between cognitive, sociocultural, and sociolinguistic research, this volume explores bilingual development across educational contexts to discuss and uncover the influences and impact of language in school programming and everyday practices. Confronting a standard monolingual lens, this collection highlights the importance of applying cross-disciplinary approaches to examine bilingualism in relation to topics such as language politics, linguistic identities, students’ experiences at home and in schools, asset-based teaching and curricula, and overall benefits.

Ideal for courses in bilingualism, literacy, psychology, and language education, this text is an important resource for understanding and applying transdisciplinary, inclusive approaches to positively influence cognitive development, academic learning, and identity formation in bilingual education.

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management.

The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks.

This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure.

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management.

The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks.

This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure.

This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions.

After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3.

Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications.

This book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity. It presents a comprehensive guide that intertwines theories and practices, aiming to equip cybersecurity professionals, CISOs, AI researchers, developers, architects and college students with an understanding of GenAI’s profound impacts on cybersecurity.

The scope of the book ranges from the foundations of GenAI, including underlying principles, advanced architectures, and cutting-edge research, to specific aspects of GenAI security such as data security, model security, application-level security, and the emerging fields of LLMOps and DevSecOps. It explores AI regulations around the globe, ethical considerations, the threat landscape, and privacy preservation. Further, it assesses the transformative potential of GenAI in reshaping the cybersecurity landscape, the ethical implications of using advanced models, and the innovative strategies required to secure GenAI applications. Lastly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these topics, it provides answers to questions on how to secure GenAI applications, as well as vital support with understanding and navigating the complex and ever-evolving regulatory environments, and how to build a resilient GenAI security program.

This book constitutes the refereed proceedings of the 17th International Conference on CLOUD Computing – CLOUD 2024, held as Part of the Services Conference Federation, SCF 2024 held in Bangkok, Thailand, during November 16-19, 2024.

The 8 full papers in this book were carefully reviewed and selected from 16 submissions. The conference facilitates the exploration of emerging research areas and the shaping of the future landscape of cloud computing.

This is the first book of its kind to systematically introduce various computational methods for automatic and real-time cognitive load measurement and by doing so moves the practical application of cognitive load measurement from the domain of the computerscientist and psychologist to more general end-users, ready for widespread implementation.

Robust Multimodal Cognitive Load Measurement is intended for researchers and practitioners involved with cognitive load studies and communities within the computer, cognitive, and social sciences. The book will especially benefit researchers in areas like behaviour analysis, social analytics, human-computer interaction (HCI), intelligent information processing, and decision support systems.