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Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions
by Pronaya Bhattacharya Ashwin Verma Sudeep TanwarThis book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain. The emphasis of this book is on understanding the contributions of IoMT to healthcare analytics, and its aim is to provide insights including evolution, research directions, challenges, and the way to empower healthcare services through federated learning. The book also intends to cover the ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.
Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions
This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain. The emphasis of this book is on understanding the contributions of IoMT to healthcare analytics, and its aim is to provide insights including evolution, research directions, challenges, and the way to empower healthcare services through federated learning. The book also intends to cover the ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.
Federated Learning for IoT Applications (EAI/Springer Innovations in Communication and Computing)
by Sachin Kumar Satya Prakash Yadav Dharmendra Prasad Mahato Bhoopesh Singh BhatiThis book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federated learning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.
Federated Learning for Wireless Networks (Wireless Networks)
by Choong Seon Hong Latif U. Khan Mingzhe Chen Dawei Chen Walid Saad Zhu HanRecently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training. As such, building incentive mechanisms is indispensable for FL networks. This book provides a comprehensive overview of FL for wireless networks. It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy. It also presents several solutions based on optimization theory, graph theory, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications of FL in wireless networks.
Federated Learning Over Wireless Edge Networks (Wireless Networks)
by Wei Yang Lim Jer Shyuan Ng Zehui Xiong Dusit Niyato Chunyan MiaoThis book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and machine learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. A clear understanding of such issues and the presented theoretical studies will serve to guide practitioners and researchers in implementing resource-efficient FL systems and solving the open issues in FL respectively.
Federated Learning Systems: Towards Next-Generation AI (Studies in Computational Intelligence #965)
by Muhammad Habib ur Rehman Mohamed Medhat GaberThis book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.
Federation over the Web: International Workshop, Dagstuhl Castle, Germany, May 1-6, 2005, Revised Selected Papers (Lecture Notes in Computer Science #3847)
by Klaus P. Jantke Aran Lunzer Nicolas Spyratos Yuzuru TanakaThe lives of people all around the world, especially in industrialized nations, continue to be changed by the presence and growth of the Internet. Its in?uence is felt at scales ranging from private lifestyles to national economies, boosting thepaceatwhichmoderninformationandcommunicationtechnologiesin?uence personal choices along with business processes and scienti?c endeavors. In addition to its billions of HTML pages, the Web can now be seen as an open repository of computing resources. These resources provide access to computational services as well as data repositories, through a rapidly growing variety of Web applications and Web services. However, people’s usage of all these resources barely scratches the surface of the possibilities that such richness should o?er. One simple reason is that, given the variety of information available and the rate at which it is being extended, it is di?cult to keep up with the range of resources relevant to one’s interests. Another reason is that resources are o?ered in a bewildering variety of formats and styles, so that many resources e?ectively stand in isolation. This is reminiscent of the challenge of enterprise application integration, - miliar to every large organization be it in commerce, academia or government. Thechallengearisesbecauseoftheaccumulationofinformationandcommuni- tion systems over decades, typically without the technical provision or political will to make them work together. Thus the exchange of data among those s- tems is di?cult and expensive, and the potential synergetic e?ects of combining them are never realized.
Fëdor Khitruk: A Look at Soviet Animation through the Work of One Master
by Laura PontieriThis book is a first and long-awaited study of the directorial work of the animation master Fëdor Khitruk (1917–2012), an artist who formed in the tradition of classical cel animation only to break the conventions once he turned into a director; a liaison between artists and authorities; a personality who promoted daring films to be created in the Soviet Union dominated by socialist realism; and a teacher and supporter of young artists that continued to carry on his legacy long after the Soviet empire collapsed. Fëdor Khitruk: A Look at Soviet Animation through the Work of One Master reveals Khitruk’s mastery in the art of the moving image and his critical role as a director of films that changed the look of Soviet animation and its relation to the animation world within and beyond the Eastern Bloc. Based on archival research, personal interviews, published memoirs, and perceptive analyses of Khitruk’s production of films for children and adults, this study is a must-read for scholars in Soviet art and culture as well as readers fascinated by traditional animation art.
Fëdor Khitruk: A Look at Soviet Animation through the Work of One Master
by Laura PontieriThis book is a first and long-awaited study of the directorial work of the animation master Fëdor Khitruk (1917–2012), an artist who formed in the tradition of classical cel animation only to break the conventions once he turned into a director; a liaison between artists and authorities; a personality who promoted daring films to be created in the Soviet Union dominated by socialist realism; and a teacher and supporter of young artists that continued to carry on his legacy long after the Soviet empire collapsed. Fëdor Khitruk: A Look at Soviet Animation through the Work of One Master reveals Khitruk’s mastery in the art of the moving image and his critical role as a director of films that changed the look of Soviet animation and its relation to the animation world within and beyond the Eastern Bloc. Based on archival research, personal interviews, published memoirs, and perceptive analyses of Khitruk’s production of films for children and adults, this study is a must-read for scholars in Soviet art and culture as well as readers fascinated by traditional animation art.
Fedora Linux System Administration: Install, manage, and secure your Fedora Linux environments
by Alex CallejasConfigure your Fedora Linux environment as a professional system administration workstation with this comprehensive guideKey FeaturesLeverage best practices and post-installation techniques to optimize your Fedora Linux workstationLearn how to optimize operating system tuning to enhance system administrationExplore Fedora Linux's virtualization resources using QEMU, KVM, and libvirt technologiesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionFedora Linux is a free and open-source platform designed for hardware, clouds, and containers that enables software developers and community members to create custom solutions for their customers. This book is a comprehensive guide focusing on workstation configuration for the modern system administrator. The book begins by introducing you to the philosophy underlying the open-source movement, along with the unique attributes of the Fedora Project that set it apart from other Linux distributions. The chapters outline best practices and strategies for essential system administration tasks, including operating system installation, first-boot configuration, storage, and network setup. As you make progress, you’ll get to grips with the selection and usage of top applications and tools in the tech environment. The concluding chapters help you get a clear understanding of the basics of version control systems, enhanced Linux security, automation, virtualization, and containers, which are integral to modern system administration. By the end of this book, you’ll have gained the knowledge needed to optimize day-to-day tasks related to Linux-based system administration.What you will learnDiscover how to configure a Linux environment from scratchReview the basics of Linux resources and componentsFamiliarize yourself with enhancements and updates made to common Linux desktop toolsOptimize the resources of the Linux operating systemFind out how to bolster security with the SELinux moduleImprove system administration using the tools provided by FedoraGet up and running with open container creation using PodmanWho this book is forThis book is for individuals who want to use Fedora Linux as a workstation for daily system administration tasks and learn how to optimize the distribution's tools for these functions. Although you should have a basic understanding of Linux and system administration, extensive knowledge of it is not necessary.
Feedback Arc Set: A History of the Problem and Algorithms (SpringerBriefs in Computer Science)
by Robert KudelićThe main aim of the book is to give a review of all relevant information regarding a well-known and important problem of Feedback Arc Set (FAS). This review naturally also includes a history of the problem, as well as specific algorithms. To this point such a work does not exist: There are sources where one can find incomplete and perhaps untrustworthy information. With this book, information about FAS can be found easily in one place: formulation, description, theoretical background, applications, algorithms etc. Such a compendium will be of help to people involved in research, but also to people that want to quickly acquaint themselves with the problem and need reliable information. Thus research, professional work and learning can proceed in a more streamlined and faster way.
Feedback Control of Computing Systems (Wiley - IEEE)
by Joseph L. Hellerstein Yixin Diao Sujay Parekh Dawn M. TilburyThis is the first practical treatment of the design and application of feedback control of computing systems. MATLAB files for the solution of problems and case studies accompany the text throughout. The book discusses information technology examples, such as maximizing the efficiency of Lotus Notes. This book results from the authors' research into the use of control theory to model and control computing systems. This has important implications to the way engineers and researchers approach different resource management problems. This guide is well suited for professionals and researchers in information technology and computer science.
Feedback Control Systems: The MATLAB®/Simulink® Approach (Synthesis Lectures on Control and Mechatronics)
by Farzin Asadi Robert E. Bolanos Jorge RodríguezFeedback control systems is an important course in aerospace engineering, chemical engineering, electrical engineering, mechanical engineering, and mechatronics engineering, to name just a few. Feedback control systems improve the system's behavior so the desired response can be acheived. The first course on control engineering deals with Continuous Time (CT) Linear Time Invariant (LTI) systems. Plenty of good textbooks on the subject are available on the market, so there is no need to add one more. This book does not focus on the control engineering theories as it is assumed that the reader is familiar with them, i.e., took/takes a course on control engineering, and now wants to learn the applications of MATLAB® in control engineering. The focus of this book is control engineering applications of MATLAB® for a first course on control engineering.
Feedback Economics: Economic Modeling with System Dynamics (Contemporary Systems Thinking)
by Robert Y. Cavana Brian C. Dangerfield Oleg V. Pavlov Michael J. Radzicki I. David WheatThis book approaches economic problems from a systems thinking and feedback perspective. By introducing system dynamics methods (including qualitative and quantitative techniques) and computer simulation models, the respective contributions apply feedback analysis and dynamic simulation modeling to important local, national, and global economics issues and concerns. Topics covered include: an introduction to macro modeling using a system dynamics framework; a system dynamics translation of the Phillips machine; a re-examination of classical economic theories from a feedback perspective; analyses of important social, ecological, and resource issues; the development of a biophysical economics module for global modelling; contributions to monetary and financial economics; analyses of macroeconomic growth, income distribution and alternative theories of well-being; and a re-examination of scenario macro modeling.The contributions also examine the philosophical differences between the economics and system dynamics communities in an effort to bridge existing gaps and compare methods. Many models and other supporting information are provided as online supplementary files. Consequently, the book appeals to students and scholars in economics, as well as to practitioners and policy analysts interested in using systems thinking and system dynamics modeling to understand and improve economic systems around the world."Clearly, there is much space for more collaboration between the advocates of post-Keynesian economics and system dynamics! More generally, I would like to recommend this book to all scholars and practitioners interested in exploring the interface and synergies between economics, system dynamics, and feedback thinking." Comments in the Foreword by Marc Lavoie, Emeritus Professor, University of Ottawa and University of Sorbonne Paris Nord
Feedback in Higher and Professional Education: Understanding it and doing it well
by David Boud Elizabeth MolloyLearners complain that they do not get enough feedback, and educators resent that although they put considerable time into generating feedback, students take little notice of it. Both parties agree that it is very important. Feedback in Higher and Professional Education explores what needs to be done to make feedback more effective. It examines the problem of feedback and suggests that there is a lack of clarity and shared meaning about what it is and what constitutes doing it well. It argues that new ways of thinking about feedback are needed. There has been considerable development in research on feedback in recent years, but surprisingly little awareness of what needs to be done to improve it and good ideas are not translated into action. The book provides a multi-disciplinary and international account of the role of feedback in higher and professional education. It challenges three conventional assumptions about feedback in learning: That feedback constitutes one-way flow of information from a knowledgeable person to a less knowledgeable person. That the job of feedback is complete with the imparting of performance-related information. That a generic model of best-practice feedback can be applied to all learners and all learning situations It seeking a new approach to feedback, it proposes that it is necessary to recognise that learners need to be much more actively involved in seeking, generating and using feedback. Rather than it being something they are subjected to, it must be an activity that they drive.
Feedback in Higher and Professional Education: Understanding it and doing it well
by David Boud Elizabeth MolloyLearners complain that they do not get enough feedback, and educators resent that although they put considerable time into generating feedback, students take little notice of it. Both parties agree that it is very important. Feedback in Higher and Professional Education explores what needs to be done to make feedback more effective. It examines the problem of feedback and suggests that there is a lack of clarity and shared meaning about what it is and what constitutes doing it well. It argues that new ways of thinking about feedback are needed. There has been considerable development in research on feedback in recent years, but surprisingly little awareness of what needs to be done to improve it and good ideas are not translated into action. The book provides a multi-disciplinary and international account of the role of feedback in higher and professional education. It challenges three conventional assumptions about feedback in learning: That feedback constitutes one-way flow of information from a knowledgeable person to a less knowledgeable person. That the job of feedback is complete with the imparting of performance-related information. That a generic model of best-practice feedback can be applied to all learners and all learning situations It seeking a new approach to feedback, it proposes that it is necessary to recognise that learners need to be much more actively involved in seeking, generating and using feedback. Rather than it being something they are subjected to, it must be an activity that they drive.
Feedback, Nonlinear, and Distributed Circuits (The Circuits and Filters Handbook, 3rd Edition)
by Wai-Kai ChenUpon its initial publication, the Handbook of Circuits and Filters broke new ground. It quickly became the resource for comprehensive coverage of issues and practical information that can be put to immediate use. Not content to rest on his laurels, editor Wai-kai Chen divided the second edition into volumes, making the information easily accessible and digestible. In the third edition, these volumes have been revised, updated, and expanded so that they continue to provide solid coverage of standard practices and enlightened perspectives on new and emerging techniques. Feedback, Nonlinear, and Distributed Circuits draws together international contributors who discuss feedback amplifier theory and then move on to explore feedback amplifier configurations. They develop Bode’s feedback theory as an example of general feedback theory. The coverage then moves on to the importance of complementing numerical analysis with qualitative analysis to get a global picture of a circuit’s performance. After reviewing a wide range of approximation techniques and circuit design styles for discreet and monolithic circuits, the book presents a comprehensive description of the use of piecewise-linear methods in modeling, analysis, and structural properties of nonlinear circuits highlighting the advantages. It describes the circuit modeling in the frequency domain of uniform MTL based on the Telegrapher’s equations and covers frequency and time domain experimental characterization techniques for uniform and nonuniform multiconductor structures. This volume will undoubtedly take its place as the engineer's first choice in looking for solutions to problems encountered in the analysis and behavior predictions of circuits and filters.
Feedback, Nonlinear, and Distributed Circuits (The Circuits and Filters Handbook, 3rd Edition)
by Wai-Kai ChenUpon its initial publication, the Handbook of Circuits and Filters broke new ground. It quickly became the resource for comprehensive coverage of issues and practical information that can be put to immediate use. Not content to rest on his laurels, editor Wai-kai Chen divided the second edition into volumes, making the information easily accessible and digestible. In the third edition, these volumes have been revised, updated, and expanded so that they continue to provide solid coverage of standard practices and enlightened perspectives on new and emerging techniques. Feedback, Nonlinear, and Distributed Circuits draws together international contributors who discuss feedback amplifier theory and then move on to explore feedback amplifier configurations. They develop Bode’s feedback theory as an example of general feedback theory. The coverage then moves on to the importance of complementing numerical analysis with qualitative analysis to get a global picture of a circuit’s performance. After reviewing a wide range of approximation techniques and circuit design styles for discreet and monolithic circuits, the book presents a comprehensive description of the use of piecewise-linear methods in modeling, analysis, and structural properties of nonlinear circuits highlighting the advantages. It describes the circuit modeling in the frequency domain of uniform MTL based on the Telegrapher’s equations and covers frequency and time domain experimental characterization techniques for uniform and nonuniform multiconductor structures. This volume will undoubtedly take its place as the engineer's first choice in looking for solutions to problems encountered in the analysis and behavior predictions of circuits and filters.
Feedback Strategies for Wireless Communication
by Berna Özbek Didier Le RuyetThis book explores the different strategies regarding limited feedback information. The book analyzes the impact of quantization and the delay of CSI on the performance. The author shows the effect of the reduced feedback information and gives an overview about the feedback strategies in the standards. This volume presents theoretical analysis as well as practical algorithms for the required feedback information at the base stations to perform adaptive resource algorithms efficiently and mitigate interference coming from other cells.
Feedforward Neural Network Methodology (Information Science and Statistics)
by Terrence L. FineThis decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems.
Feeding the Machine: The Hidden Human Labour Powering AI
by Mark Graham James Muldoon Callum CantBig Tech has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions that labour under often appalling conditions to make AI possible. Feeding the Machine presents an urgent, riveting investigation of the intricate network of organisations that maintain this exploitative system, revealing the untold truth of AI. Based on hundreds of interviews and thousands of hours of fieldwork over more than a decade, this book shows us the lives of the workers often deliberately concealed from view and the systems of power that determine their future. It shows how AI is an extraction machine that churns through ever-larger datasets and feeds off humanity’s labour and collective intelligence to power its algorithms. Feeding the Machine is a call to arms against this exploitative system and details what we need to do, individually and collectively, to fight for a more just digital future.
Feeding the Machine: The Hidden Human Labor Powering A.I.
by Mark Graham James Muldoon Callum CantFor readers of Naomi Klein and Nicole Perlroth, A myth-dissolving exposé of what “artificial intelligence” really means, and a resounding argument for an equitable future of A.I.Silicon Valley has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions laboring under often appalling conditions to make A.I. possible. This book presents an urgent, riveting investigation of the intricate network that maintains this exploitative system, revealing the untold truth of A.I. Based on hundreds of interviews and thousands of hours of fieldwork over more than a decade, Feeding the Machine describes the lives of the workers deliberately concealed from view, and the power structures that determine their future. It gives voice to the people whom A.I. exploits, from accomplished writers and artists to the armies of data annotators, content moderators and warehouse workers, revealing how their dangerous, low-paid labor is connected to longer histories of gendered, racialized, and colonial exploitation. A.I. is an extraction machine that feeds off humanity's collective effort and intelligence, churning through ever-larger datasets to power its algorithms. This book is a call to arms that details what we need to do to fight for a more just digital future.
Feeling Present in the Physical World and in Computer-Mediated Environments (Palgrave Studies in Cyberpsychology)
by J. Waterworth G. RivaThis concise volume presents for the first time a coherent and detailed account of why we experience feelings of being present in the physical world and in computer-mediated environments, why we often don't, and why it matters - for design, psychotherapy, tool use and social creativity amongst other practical applications.
Fehlerbaumanalyse in Theorie und Praxis: Grundlagen und Anwendung der Methode
by Frank Edler Michael Soden René HankammerDieses Fachbuch gibt eine praxisorientierte Einführung in Grundlagen und Anwendung der Fehlerbaumanalyse (FTA). Die Autoren erläutern nicht nur die mathematische und theoretischen Grundlagen, sondern auch Modellierungsregeln für die konkrete Systemanalyse. Anhand vieler Beispiele werden diese so erläutert, dass dem Leser die Konstruktion auch von komplexen Fehlerbäumen mit der Abbildung verschiedener Abstraktionsebenen eines Systems deutlich wird. Neben der Einbindung der Analyse in Entwicklungsprojekte widmet sich das Werk auch den Qualifikationen von Analysten sowie der optimalen sprachlichen Ausarbeitung. Das Buch erfordert keine spezifischen Vorkenntnisse, setzt jedoch voraus, technische Darstellungen erfassen zu können. Das Werk richtet sich neben angehenden und praktizierenden Analysten insbesondere auch an andere, die bei Entwicklung, in Projekten oder beispielsweise als Gutachter mit Fehlerbaumanalysen in Kontakt kommen.
Fehlerdiagnose für Schaltnetze aus Modulen mit partiell injektiven Pfadfunktionen (Informatik-Fachberichte #139)
by Michael MarhöferIn dieser Monographie werden Verfahren zur modularen Testerzeugung für Schaltnetze entwickelt. Ausgehend von einer Beschreibung der modularen Schaltung und den Tests für die einzelnen Module bestimmen diese Verfahren den Test für die modulare Schaltung. Die Arbeit geht in diesem Zusammenhang auch auf den prüfgerechten Entwurf modularer Schaltungen ein. In Analogie zum klassischen sensibilisierten Pfad, der 1 Bit Testinformation weiterleiten kann, wird der Pfadbegriff auf die parallele Weiterleitung von k Bit Testinformation verallgemeinert. Die Arbeit formalisiert dazu mehrere Klassen von partiell injektiven Pfadfunktionen; daraus werden Kriterien für die Mindesteigenschaften von pfadbildenden Modulen und Algorithmen zum Bilden solcher k-Bit-Pfade abgeleitet. Ziel des Buches ist es, Modultests, die mit speziellen Fehlermodellen und Verfahren in hoher Qualität erzeugbar sind, auch in umfangreichen, modularen Schaltungen anzuwenden. Das Buch liefert dafür die theoretischen Grundlagen und die wesentlichen Algorithmen, die in einer Teilimplementierung auch erprobt wurden.