The Autonomous Web
The Autonomous Web

Author: Herwig Unger

Publisher: Springer Nature

Published: 2022-01-01

Total Pages: 170

ISBN-13: 3030909360

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This book initiates a transformation of the Web into a self-managing, autonomous information system to challenge today’s all-embracing role of big search engines as centralized information managers. In the last decades, the World Wide Web became the biggest source for all kinds of information needed. After a short review of the state of the art, a Web-based system is presented for the first time, which employs all its instances equally to provide, consume, and process information uniformly and consistently. In order to build such an efficient, decentralized, and fully integrated information space with all its needed functionalities, a set of diverse algorithms is introduced. These novel mechanisms for load balancing, routing, clustering, document classification, but also time-dependent information management pertain to almost all system levels. Finally, three different approaches to decentralized Web search are discussed that represent the backbone of the new autonomous Web.

The Autonomous Web
The Autonomous Web

Author: Herwig Unger

Publisher: Springer

Published: 2022-12-19

Total Pages: 0

ISBN-13: 9783030909383

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This book initiates a transformation of the Web into a self-managing, autonomous information system to challenge today’s all-embracing role of big search engines as centralized information managers. In the last decades, the World Wide Web became the biggest source for all kinds of information needed. After a short review of the state of the art, a Web-based system is presented for the first time, which employs all its instances equally to provide, consume, and process information uniformly and consistently. In order to build such an efficient, decentralized, and fully integrated information space with all its needed functionalities, a set of diverse algorithms is introduced. These novel mechanisms for load balancing, routing, clustering, document classification, but also time-dependent information management pertain to almost all system levels. Finally, three different approaches to decentralized Web search are discussed that represent the backbone of the new autonomous Web.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing
Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author: Velayutham, Sathiyamoorthi

Publisher: IGI Global

Published: 2021-01-29

Total Pages: 350

ISBN-13: 1799831132

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In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Building Better Interfaces for Remote Autonomous Systems
Building Better Interfaces for Remote Autonomous Systems

Author: Jacob D. Oury

Publisher: Springer Nature

Published: 2021-01-19

Total Pages: 134

ISBN-13: 3030477754

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This 'Open Access' SpringerBrief provides foundational knowledge for designing autonomous, asynchronous systems and explains aspects of users relevant to designing for these systems, introduces principles for user-centered design, and prepares readers for more advanced and specific readings. It provides context and the implications for design choices made during the design and development of the complex systems that are part of operation centers. As such, each chapter includes principles to summarize the design implication that engineers can use to inform their own design of interfaces for operation centers and similar systems. It includes example materials for the design of a fictitious system, which are referenced in the book and can be duplicated and extended for real systems. The design materials include a system overview, the system architecture, an example scenario, a stakeholder analysis, a task analysis, a description of the system and interface technology, and contextualized design guidelines. The guidelines can be specified because the user, the task, and the technology are well specified as an example. Building Better Interfaces for Remote Autonomous Systems is for working system engineers who are designing interfaces used in high throughput, high stake, operation centers (op centers) or control rooms, such as network operation centers (NOCs). Intended users will have a technical undergraduate degree (e.g., computer science) with little or no training in design, human sciences, or with human-centered iterative design methods and practices. Background research for the book was supplemented by interaction with the intended audience through a related project with L3Harris Technologies (formerly Harris Corporation).

Autonomous Learning from the Environment
Autonomous Learning from the Environment

Author: Wei-Min Shen

Publisher: Computer Science Press, Incorporated

Published: 1994

Total Pages: 355

ISBN-13: 9780716782650

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A significant contribution to the scientific foundation of autonomous learning systems, this book contains clear, up-to-date coverage of three basic subtasks: active model abstraction, model application, and integration. It is the only textbook to offer a thorough discussion of active model abstraction.

Building Autonomous Learners
Building Autonomous Learners

Author: Woon Chia Liu

Publisher: Springer

Published: 2015-09-29

Total Pages: 311

ISBN-13: 9812876308

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This edited work presents a collection of papers on motivation research in education around the globe. Pursuing a uniquely international approach, it also features selected research studies conducted in Singapore under the auspices of the Motivation in Educational Research Lab, National Institute of Education, Singapore. A total of 15 chapters include some of the latest findings on theory and practical applications alike, prepared by internationally respected researchers in the field of motivation research in education. Each author provides his/her perspective and practical strategies on how to maximize motivation in the classroom. Individual chapters focus on theoretical and practical considerations, parental involvement, teachers’ motivation, ways to create a self-motivating classroom, use of ICT, and nurturing a passion for learning. The book will appeal to several different audiences: firstly, policymakers in education, school leaders and teachers will find it a valuable resource. Secondly, it offers a helpful guide for researchers and teacher educators in pre-service and postgraduate teacher education programmes. And thirdly, parents who want to help their children pursue lifelong learning will benefit from reading this book.

Introduction to Autonomous Mobile Robots, second edition
Introduction to Autonomous Mobile Robots, second edition

Author: Roland Siegwart

Publisher: MIT Press

Published: 2011-02-18

Total Pages: 473

ISBN-13: 0262015358

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The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms. Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques. This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners. Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.

Developing Advanced Web Services through P2P Computing and Autonomous Agents: Trends and Innovations
Developing Advanced Web Services through P2P Computing and Autonomous Agents: Trends and Innovations

Author: Ragab, Khaled

Publisher: IGI Global

Published: 2010-06-30

Total Pages: 284

ISBN-13: 1615209743

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Developing Advanced Web Services through P2P Computing and Autonomous Agents: Trends and Innovations establishes an understanding of autonomous peer-to-peer Web Service models and developments as well as extends growing literature on emerging technologies. This scholarly publication is an important reference for researchers and academics working in the fields of peer-to-peer computing, Web and grid services, and agent technologies.

Autonomous Vehicles
Autonomous Vehicles

Author: A. Mary Sowjanya

Publisher: John Wiley & Sons

Published: 2023-01-05

Total Pages: 324

ISBN-13: 1119871956

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AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Artificial Intelligence for Autonomous Networks
Artificial Intelligence for Autonomous Networks

Author: Mazin Gilbert

Publisher: CRC Press

Published: 2018-09-25

Total Pages: 498

ISBN-13: 1351130145

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Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.