Download or read book Applications in Ubiquitous Computing written by Raman Kumar and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a deep dive into ubiquitous computing for applications in health, business, education, tourism, and transportation. The rich interdisciplinary contents of the book appeal to readers from diverse disciplines who aspire to create new and innovative research initiatives and applications in ubiquitous computing. Topics include condition monitoring and diagnostics; multi-objective optimization in design, multi-objective optimization of machining parameters, and more. The book benefits researchers, advanced students, as well as practitioners interested in applications of ubiquitous computing. Features practical, tested applications in ubiquitous computing Includes applications such as health, business, education, electronics, tourism, and transportation Applicable to researchers, academics, students, and professionals.

Download or read book The Conduct of Science written by Michael W. Friedlander and published by Prentice Hall. This book was released on 1972 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: "More and more, the applications of science affect us. New and expensive scientific and technical projects are proposed. At the same time, the scientific community has come under increasing criticism, for their alleged misuse of science. Some voices have been raised to urge a return to the ways of earlier times when life seemed less complicated and certainly less dependent on science and its products. Despite these occasional and sentimental backward glances, there can be no return; instead we must accommodate to the persistence of a society in which science and technology play a large role. But that does not need to imply passive acceptance, for many of us can play a role in shaping the directions of our society. What is needed for this, however, is some awareness of the functioning of science, as it really exists and not as it appears in the often-prevalent caricatures."- Publisher

Download or read book Federated Learning From Algorithms To System Implementation written by Liefeng Bo and published by World Scientific. This book was released on 2024-08-16 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of federated learning.The first part lays a foundational understanding of federated learning by going through its definition and characteristics, and also possible application scenarios and related privacy protection technologies. The second part elaborates on some of the federated learning algorithms innovated by JD Technology which encompass both vertical and horizontal scenarios, including vertical federated tree models, linear regression, kernel learning, asynchronous methods, deep learning, homomorphic encryption, and reinforcement learning. The third and final part shifts in scope to federated learning systems — namely JD Technology's own FedLearn system — by discussing its design and implementation using gRPC, in addition to specific performance optimization techniques plus integration with blockchain technology.This book will serve as a great reference for readers who are experienced in federated learning algorithms, building privacy-preserving machine learning applications or solving real-world problems with privacy-restricted scenarios.

Download or read book City Diplomacy written by Sohaela Amiri and published by Springer Nature. This book was released on 2020-07-11 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume provides an inclusive explanation of what, why, and how cities interact with global counterparts as well as with nation states, non-governmental organizations, and foreign publics. The chapters present theoretical and analytical approaches to the study of city diplomacy as well as case studies to capture the nuances of the practice. By bringing together a diverse group of authors in terms of their geographic location, academic and practitioner backgrounds, the volume speaks to multiple disciplines, including diplomacy, political science, communication, sociology, marketing and tourism.

Download or read book Next Generation Data Technologies for Collective Computational Intelligence written by Nik Bessis and published by Springer Science & Business Media. This book was released on 2011-04-28 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community users – in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.

Download or read book NET Security and Cryptography written by Peter Thorsteinson and published by Prentice Hall Professional. This book was released on 2004 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to make your .NET applications secure! Security and cryptography, while always an essential part of the computing industry, have seen their importance increase greatly in the last several years. Microsoft's .NET Framework provides developers with a powerful new set of tools to make their applications secure. NET Security and Cryptography is a practical and comprehensive guide to implementing both the security and the cryptography features found in the .NET platform. The authors provide numerous clear and focused examples in both C# and Visual Basic .NET, as well as detailed commentary on how the code works. They cover topics in a logical sequence and context, where they are most relevant and most easily understood. All of the sample code is available online at . This book will allow developers to: Develop a solid basis in the theory of cryptography, so they can understand how the security tools in the .NET Framework function Learn to use symmetric algorithms, asymmetric algorithms, and digital signatures Master both traditional encryption programming as well as the new techniques of XML encryption and XML signatures Learn how these tools apply to ASP.NET and Web Services security

Download or read book Arms Explosives written by and published by . This book was released on 1899 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Social Value in Construction written by Ani Raiden and published by Routledge. This book was released on 2018-12-07 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the concept of social value is not new, recent interest in social value in construction has grown because of new social procurement legislation around the world and an increasing acceptance of the need to ensure construction projects provide social value, rather than simply economic value. Despite this growing recognition, literature and professional guidance on the subject is hard to find. This is the first book looking at social value in construction and it sets the agenda by asking and answering important questions like: How is the construction industry developing and supporting social enterprise and social value and for who? How and when is the industry recording and measuring social value and its effect? Which organisations are doing things well and what can we learn from their experiences? What can industry players do together to consolidate efforts and drive improvements? What are the key challenges in the field and what does the future look like? Drawing on a variety of professional and academic experiences and disciplines, the authors present global perspectives and lay the foundations for creating social value in the construction industry. This timely book makes use of real-life case studies and examples of best practice to demonstrate how innovative companies can utilise contemporary research to create social value through their projects. It is time the construction industry viewed community involvement and corporate social responsibility as an opportunity rather than a risk, and this is the book that shows the industry how. This is essential reading for all professionals in the construction, engineering, architecture and built environment sector. In particular, project managers, clients, contract managers, quantity surveyors, CSR and HR personnel will gain a lot from reading this book.

Download or read book Federated Learning written by Heiko Ludwig and published by Springer Nature. This book was released on 2022-07-07 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important issues and approaches to federated learning for researchers and practitioners. Federated Learning (FL) is an approach to machine learning in which the training data are not managed centrally. Data are retained by data parties that participate in the FL process and are not shared with any other entity. This makes FL an increasingly popular solution for machine learning tasks for which bringing data together in a centralized repository is problematic, either for privacy, regulatory or practical reasons. This book explains recent progress in research and the state-of-the-art development of Federated Learning (FL), from the initial conception of the field to first applications and commercial use. To obtain this broad and deep overview, leading researchers address the different perspectives of federated learning: the core machine learning perspective, privacy and security, distributed systems, and specific application domains. Readers learn about the challenges faced in each of these areas, how they are interconnected, and how they are solved by state-of-the-art methods. Following an overview on federated learning basics in the introduction, over the following 24 chapters, the reader will dive deeply into various topics. A first part addresses algorithmic questions of solving different machine learning tasks in a federated way, how to train efficiently, at scale, and fairly. Another part focuses on providing clarity on how to select privacy and security solutions in a way that can be tailored to specific use cases, while yet another considers the pragmatics of the systems where the federated learning process will run. The book also covers other important use cases for federated learning such as split learning and vertical federated learning. Finally, the book includes some chapters focusing on applying FL in real-world enterprise settings.

Download or read book Wired Wireless Communication Networks written by Dr.P.Ajay and published by Shanlax Publications. This book was released on 2021-11-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers data communications and network models, link layer & media access, network layer, transport layer and application layer.

Download or read book The Governors of Indiana written by Linda C. Gugin and published by Indiana Historical Society. This book was released on 2006 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The International Conference on Advanced Machine Learning Technologies and Applications AMLTA2018 written by Aboul Ella Hassanien and published by Springer. This book was released on 2018-01-26 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms and optimization.

Download or read book 3D Cadastre written by Jantien E. Stoter and published by . This book was released on 2004 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thesis (Ph.D.)--Delft University of Technology, 2004.

Download or read book Ranking Vaccines written by Institute of Medicine (U.S.). Committee on Identifying and Prioritizing New Preventive Vaccines for Development and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: SMART Vaccines - Strategic Multi-Attribute Ranking Tool for Vaccines - is a prioritization software tool developed by the Institute of Medicine that utilizes decision science and modeling to help inform choices among candidates for new vaccine development. A blueprint for this computer-based guide was presented in the 2012 report Ranking Vaccines: A Prioritization Framework: Phase I. The 2013 Phase II report refined a beta version of the model developed in the Phase I report. Ranking Vaccines: Applications of a Prioritization Software Tool: Phase III: Use Case Studies and Data Framework extends this project by demonstrating the practical applications of SMART Vaccines through use case scenarios in partnership with the Public Health Agency of Canada, New York State Department of Health, and the Serum Institute of India. This report also explores a novel application of SMART Vaccines in determining new vaccine product profiles, and offers practical strategies for data synthesis and estimation to encourage the broader use of the software.

Download or read book A Handbook of Yoga nidr written by Kamakhya Kumar and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Federated Learning written by Lam M. Nguyen and published by Elsevier. This book was released on 2024-02-09 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federated Learning: Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features. Part I of the book begins with a broad overview of opti mizati on fundamentals and modeling challenges, covering various aspects of communicati on effi ciency, theoretical convergence, and security. Part II featuresemerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service. Part III concludes the book with a wide array of industrial applicati ons of federated learning, as well as ethical considerations, showcasing its immense potential for driving innovation while safeguarding sensitive data.Federated Learning: Theory and Practi ce provides a comprehensive and accessible introducti on to federated learning which is suitable for researchers and students in academia, and industrial practitioners who seek to leverage the latest advance in machine learning for their entrepreneurial endeavors. - Presents the fundamentals and a survey of key developments in the field of federated learning - Provides emerging, state-of-the art topics that build on fundamentals - Contains industry applications - Gives an overview of visions of the future

Download or read book Federated Learning written by Yaochu Jin and published by Springer Nature. This book was released on 2022-11-29 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on a large body of decentralized data. Its goal is to make full use of data across organizations or devices while meeting regulatory, privacy, and security requirements. The book starts with a self-contained introduction to artificial neural networks, deep learning models, supervised learning algorithms, evolutionary algorithms, and evolutionary learning. Concise information is then presented on multi-party secure computation, differential privacy, and homomorphic encryption, followed by a detailed description of federated learning. In turn, the book addresses the latest advances in federate learning research, especially from the perspectives of communication efficiency, evolutionary learning, and privacy preservation. The book is particularly well suited for graduate students, academic researchers, and industrial practitioners in the field of machine learning and artificial intelligence. It can also be used as a self-learning resource for readers with a science or engineering background, or as a reference text for graduate courses.