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Author: Dong Wang Publisher: Morgan Kaufmann ISBN: 0128011319 Category : Computers Languages : en Pages : 232
Book Description
Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book
Author: Dong Wang Publisher: Morgan Kaufmann ISBN: 0128011319 Category : Computers Languages : en Pages : 232
Book Description
Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book
Author: Sayan Mitra Publisher: MIT Press ISBN: 0262370263 Category : Computers Languages : en Pages : 313
Book Description
A graduate-level textbook that presents a unified mathematical framework for modeling and analyzing cyber-physical systems, with a strong focus on verification. Verification aims to establish whether a system meets a set of requirements. For such cyber-physical systems as driverless cars, autonomous spacecraft, and air-traffic management systems, verification is key to building safe systems with high levels of assurance. This graduate-level textbook presents a unified mathematical framework for modeling and analyzing cyber-physical systems, with a strong focus on verification. It distills the ideas and algorithms that have emerged from more than three decades of research and have led to the creation of industrial-scale modeling and verification techniques for cyber-physical systems. The book discusses such computer science concepts as undecidability and abstractions, alongside concepts from control theory including multiple Lyapunov functions and barrier certificates, all within a unified mathematical language. It explains algorithms for reachability analysis, counter-example guided abstraction refinement, and data-driven verification, as well as the key data structures that enable their effective implementation. Other topics include invariants, deductive verification, progress analysis, sensitivity analysis, simulation relations, fairness, model checking, satisfiability modulo theories, temporal logics, compositional reasoning, convergence analysis, asynchronous processes, and verification of black-box systems.The book provides more than twenty examples of cyber-physical verification, ranging from conceptual models to advanced driving-assist systems. Each chapter offers exercise problems; supporting materials, including slides, simulation code, additional exercises, and solutions are available on the book's website.
Author: David Bakken Publisher: CRC Press ISBN: 1482206129 Category : Science Languages : en Pages : 466
Book Description
The utilization of sensors, communications, and computer technologies to create greater efficiency in the generation, transmission, distribution, and consumption of electricity will enable better management of the electric power system. As the use of smart grid technologies grows, utilities will be able to automate meter reading and billing and consumers will be more aware of their energy usage and the associated costs. The results will require utilities and their suppliers to develop new business models, strategies, and processes. With an emphasis on reducing costs and improving return on investment (ROI) for utilities, Smart Grids: Clouds, Communications, Open Source, and Automation explores the design and implementation of smart grid technologies, considering the benefits to consumers as well as businesses. Focusing on industrial applications, the text: Provides a state-of-the-art account of the smart grid Explains how smart grid technologies are currently being used Includes detailed examples and test cases for real-life implementation Discusses trade-offs associated with the utilization of smart grid technologies Describes smart grid simulation software and offers insight into the future of the smart grid The electric power grid is in the early stages of a sea of change. Nobody knows which business models will survive, but companies heeding the lessons found in Smart Grids: Clouds, Communications, Open Source, and Automation might just increase their chances for success.
Author: Gerald Eichler Publisher: Springer ISBN: 3319604473 Category : Computers Languages : en Pages : 201
Book Description
This book constitutes the refereed proceedings of the 17th International Conference on Innovations for Community Services, I4CS 2017, held in Darmstadt, Germany, in June 2017. The 12 revised full papers presented together with two short papers were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on Social Networks; Cooperative Networks; Optimization Algorithms; Infrastructure Planning; Energy Management; Short Papers.
Author: Janmenjoy Nayak Publisher: Springer Nature ISBN: 3031540387 Category : Cooperating objects (Computer systems) Languages : en Pages : 412
Book Description
This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity.
Author: Michal Balog Publisher: Springer Nature ISBN: 3031319672 Category : Technology & Engineering Languages : en Pages : 368
Book Description
This book presents the proceedings of the 15th EAI International Conference on Automation and Control in Theory and Practice (ARTEP 2023), held in Stará Lesná, Slovakia, February 8-10, 2023. The aim of the conference was to meet the experts in the field of control, industrial automation and ICT in the industry from universities, colleges, and practice. The conference aims to draw attention to modern trends in the field, to enable experts, pedagogues and scientific researchers to present the results achieved in their work, to exchange experiences and establish working contacts between meeting participants. The ARTEP proceedings includes papers on automation and control and their integration of technologies such as Industry 4.0, robotics, and IoT. ARTEP is primarily a conference for scientists and practitioners who develop and study automation, management, and technologies.
Author: Maria Christakis Publisher: Springer Nature ISBN: 3030636186 Category : Computers Languages : en Pages : 239
Book Description
This book constitutes the refereed proceedings of the 12th International Conference on Verified Software, VSTTE 2020, and the 13th International Workshop on Numerical Software Verification, NSV 2020, held in Los Angeles, CA, USA, in July 2020. Due to COVID-19 pandemic the conference was held virtually. The 13 papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers describe large-scale verification efforts that involve collaboration, theory unification, tool integration, and formalized domain knowledge as well as novel experiments and case studies evaluating verification techniques and technologies. The conference was co-located with the 32nd International Conference on Computer-Aided Verification (CAV 2020).
Author: Sung Je Cho Publisher: Springer ISBN: 3319126881 Category : Education Languages : en Pages : 617
Book Description
This book comprises the Proceedings of the 12th International Congress on Mathematical Education (ICME-12), which was held at COEX in Seoul, Korea, from July 8th to 15th, 2012. ICME-12 brought together 3500 experts from 92 countries, working to understand all of the intellectual and attitudinal challenges in the subject of mathematics education as a multidisciplinary research and practice. This work aims to serve as a platform for deeper, more sensitive and more collaborative involvement of all major contributors towards educational improvement and in research on the nature of teaching and learning in mathematics education. It introduces the major activities of ICME-12 which have successfully contributed to the sustainable development of mathematics education across the world. The program provides food for thought and inspiration for practice for everyone with an interest in mathematics education and makes an essential reference for teacher educators, curriculum developers and researchers in mathematics education. The work includes the texts of the four plenary lectures and three plenary panels and reports of three survey groups, five National presentations, the abstracts of fifty one Regular lectures, reports of thirty seven Topic Study Groups and seventeen Discussion Groups.
Author: Ivan Ostroumov Publisher: Springer Nature ISBN: 3031380827 Category : Technology & Engineering Languages : en Pages : 360
Book Description
This book includes high-quality research papers presented at International Workshop on Advances in Civil Aviation Systems Development (ACASD 2023), which was at National Aviation University, Kyiv Ukraine, on May 30, 2023. This book presents original results of a scholarly study of unique research teams and market leaders on the development in civil aviation systems and its application. The book topics include major research areas focused on advances in avionics system design, modern trends in communication, surveillance and navigation systems development, and civil avionics system maintenance questions. Also, proposed book is useful for scholars and professionals in the civil aviation domain.
Author: Anuradha Tomar Publisher: Springer Nature ISBN: 9811928282 Category : Technology & Engineering Languages : en Pages : 774
Book Description
This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 – 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications.
Author: Dong Wang
Author: Dong Wang
Author: Sayan Mitra
Author: David Bakken
Author: Gerald Eichler
Author: Janmenjoy Nayak
Author: Michal Balog
Author: Maria Christakis
Author: Sung Je Cho
Author: Ivan Ostroumov
Author: Anuradha Tomar