2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS). PDF Download

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ISBN: 9781728170022
Category :
Languages : en
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Author: Jian Dong
Publisher: Springer Nature
ISBN: 9819904161
Category : Technology & Engineering
Languages : en
Pages : 806

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This book includes original, peer-reviewed research papers from the International Conference on Internet of Things, Communication and Intelligent Technology (IoTCIT) 2022. It contains the application of communication and IoT engineering in the age of intelligent technology+ from the standpoint of disciplinary integration, combining theory and associated IoT and intelligent technology algorithms. The topics cover the full range of IoT solutions, from IoT to network security, and focus on many forms of communication, such as Next Generation (6G) Mobile Communication, D2D, and M2M Communication. Additionally, it examines Intelligent Technology, with a focus on Information System Modeling and Simulation. It also explores Cloud Computing, Pervasive and Mobile Computing, Distributed Computing, High Performance Computing, and Ubiquitous Computing.

Author: Zahir Tari
Publisher: Springer Nature
ISBN: 9819708621
Category :
Languages : en
Pages : 375

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Author: Bohan Li
Publisher: Springer Nature
ISBN: 3031252012
Category : Computers
Languages : en
Pages : 480

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This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022. The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.

Author: Mtenzi, Fredrick Japhet
Publisher: IGI Global
ISBN: 1668468751
Category : Social Science
Languages : en
Pages : 296

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Global emergencies, such as the COVID-19 pandemic and environmental concerns, have challenged the readiness of societies and forced them to operate in more innovative ways. In response, the world has witnessed new technologies emerge and researchers continually finding better solutions to cope with these situations. It is crucial that these innovations are investigated so that we may better the world during times of crisis. Impact of Disruptive Technologies on the Socio-Economic Development of Emerging Countries provides relevant case studies, innovative disruptive applications, and the latest empirical research findings in the digital technology space. Additionally, it provides accounts of the design, development, and usage of digital solutions that have an impact on addressing societal problems in emerging economies. Covering topics such as e-social work, social media addiction, and adaptive testing, this premier reference source is an essential resource for government officials, entrepreneurs, politicians, business leaders, students and educators of higher education, sociologists, librarians, researchers, and academicians.

Author: Lei Wang
Publisher: Springer Nature
ISBN: 3031192117
Category : Technology & Engineering
Languages : en
Pages : 679

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The three-volume set constitutes the proceedings of the 17th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2022, which was held during October 28-30, 2022. The conference took place in Dalian, China.The 95 full and 62 short papers presented in these proceedings were carefully reviewed and selected from 265 submissions. The contributions in theoretical frameworks and analysis of fundamental cross-layer protocol and network design and performance issues; distributed and localized algorithm design and analysis; information and coding theory for wireless networks; localization; mobility models and mobile social networking; underwater and underground networks; vehicular networks; algorithms, systems, and applications of edge computing

Author: Alex Khang
Publisher: CRC Press
ISBN: 1000802019
Category : Computers
Languages : en
Pages : 289

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This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems. The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications. All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.

Author: Ville J. E. Manninen
Publisher: Springer Nature
ISBN: 3030950735
Category : Language Arts & Disciplines
Languages : en
Pages : 387

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This book examines how technologies are changing, will change, or could change the relationship between audiences and news media. It highlights how novel technologies could have fundamental implications for the way that news media interact with wider society. The book comprises of four thematic parts. Firstly, it focuses on the impact of technological development on the news media business, exploring how news media uses new technologies to improve their sustainability. Secondly, it considers the ethical dilemmas that arise when audience-news media relationships are transformed by technological development. The third part of the book approaches the effects of novel technologies from the journalists’ viewpoint: how do new technologies intervene in the audience-news media relationship through journalistic work? Finally, the fourth part dissects the ways new technologies can impact audience-news media relationships through transforming audience agency, audience preferences and news media’s understanding of them.

Author: Jayakrushna Sahoo
Publisher: CRC Press
ISBN: 1040088597
Category : Computers
Languages : en
Pages : 353

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This new book provides an in-depth understanding of federated learning, a new and increasingly popular learning paradigm that decouples data collection and model training via multi-party computation and model aggregation. The volume explores how federated learning integrates AI technologies, such as blockchain, machine learning, IoT, edge computing, and fog computing systems, allowing multiple collaborators to build a robust machine-learning model using a large dataset. It highlights the capabilities and benefits of federated learning, addressing critical issues such as data privacy, data security, data access rights, and access to heterogeneous data. The volume first introduces the general concepts of machine learning and then summarizes the federated learning system setup and its associated terminologies. It also presents a basic classification of FL, the application of FL for various distributed computing scenarios, an integrated view of applications of software-defined networks, etc. The book also explores the role of federated learning in the Internet of Medical Things systems as well. The book provides a pragmatic analysis of strategies for developing a communication-efficient federated learning system. It also details the applicability of blockchain with federated learning on IoT-based systems. It provides an in-depth study of FL-based intrusion detection systems, discussing their taxonomy and functioning and showcasing their superiority over existing systems. The book is unique in that it evaluates the privacy and security aspects in federated learning. The volume presents a comprehensive analysis of some of the common challenges, proven threats, and attack strategies affecting FL systems. Special coverage on protected shot-based federated learning for facial expression recognition is also included. This comprehensive book, Federated Learning: Principles, Paradigms, and Applications, will enable research scholars, information technology professionals, and distributed computing engineers to understand various aspects of federated learning concepts and computational techniques for real-life implementation.

Author: Andreas Holzinger
Publisher: Springer Nature
ISBN: 3031408373
Category : Computers
Languages : en
Pages : 335

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This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023. The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.