Название: Predictive analytics ISBN: 036753746X ISBN-13(EAN): 9780367537463 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and realworld examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and realword examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
Описание: Provides a wealth of practical knowledge and industry best practices to address dependability management and engineering issues with helpful guidance and checklists from a system life cycle perspective, hence making this book a valued asset as a comprehensive desk-top reference.
Автор: Pierre-Jacques Courtois Название: Justifying the Dependability of Computer-based Systems ISBN: 1849967946 ISBN-13(EAN): 9781849967945 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a framework for the justification of the dependability of a computer-based system and explores fundamental aspects of safety evaluation, such as the nature of claims and various ways to deal with different types of uncertainty.
Автор: Bukowski, Lech Название: Cognitive Dependability Engineering ISBN: 036789730X ISBN-13(EAN): 9780367897307 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Jean-Fran?§ois Aubry, Nicolae Brinzei, Mohammed-Habib Mazouni Название: Systems Dependability Assessment: Benefits of Petri Net Models ISBN: 1848219911 ISBN-13(EAN): 9781848219915 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Petri Nets were defined for the study of discrete events systems and later extended for many purposes including dependability assessment. In our knowledge, no book deals specifically with the use of different type of PN to dependability. We propose in addition to bring a focus on the adequacy of Petri net types to the study of various problems related to dependability such as risk analysis and probabilistic assessment.
In the first part, the basic models of PN and some useful extensions are briefly recalled. In the second part, the PN are used as a formal model to describe the evolution process of critical system in the frame of an ontological approach. The third part focuses on the stochastic Petri Nets (SPN) and their use in dependability assessment. Different formal models of SPN are formally presented (semantics, evolution rules...) and their equivalence with the corresponding class of Markov processes to get an analytical assessment of dependability. Simplification methods are proposed in order to reduce the size of analytical model and to make it more calculable. The introduction of some concepts specific to high level PN allows too the consideration of complex systems. Few applications in the field of the instrumentation and control (l&C) systems, safety integrated systems (SIS) emphasize the benefits of SPN for dependability assessment.
Автор: Hagar Название: IoT System Testing ISBN: 1484282752 ISBN-13(EAN): 9781484282755 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: To succeed, teams must assure the quality of IoT systems. The world of technology continually moves from one hot area to another; this book considers the next explosion—of IoT—from a quality testing viewpoint. You'll first gain an introduction to the Internet of Things (IoT), V&V, and testing. Next, you'll be walked through IoT test planning and strategy over the full life cycle, including the impact of data analytics and AI. You will then delve deeper into IoT security testing and various test techniques, patterns, and more. This is followed by a detailed study of IoT software test labs, architecture, environments and AI. There are many options for testing IoT qualities based on the criticality of the software and risks involved; each option has positives, negatives, as well as cost and schedule impacts. The book will guide start-up and experienced teams into these paths and help you to improve the testing and quality assessment of IoT systems. What You Will Learn * Understand IoT software test architecture and planning * Master IoT security testing and test techniques * Study IoT test lab automation and architectures * Review the need for IoT security, data analytics, AI, Neural Networks and dependability using testing and V&V Who This Book Is For Readers with basic knowledge of software development who want to learn more about IoT testing and its intricacies, as well as companies moving into the domain of IoT, and even those already deep into the IoT domain will benefit from this book.
Автор: Kumar Название: Predictive Analytics in System Reliability ISBN: 303105346X ISBN-13(EAN): 9783031053467 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering. The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.
Presents information to create a trade-off analysis framework for use in government and commercial acquisition environments
This book presents a decision management process based on decision theory and cost analysis best practices aligned with the ISO/IEC 15288, the Systems Engineering Handbook, and the Systems Engineering Body of Knowledge. It provides a sound trade-off analysis framework to generate the tradespace and evaluate value and risk to support system decision-making throughout the life cycle. Trade-off analysis and risk analysis techniques are examined. The authors present an integrated value trade-off and risk analysis framework based on decision theory. These trade-off analysis concepts are illustrated in the different life cycle stages using multiple examples from defense and commercial domains.
Provides techniques to identify and structure stakeholder objectives and creative, doable alternatives
Presents the advantages and disadvantages of tradespace creation and exploration techniques for trade-off analysis of concepts, architectures, design, operations, and retirement
Covers the sources of uncertainty in the system life cycle and examines how to identify, assess, and model uncertainty using probability
Illustrates how to perform a trade-off analysis using the INCOSE Decision Management Process using both deterministic and probabilistic techniques
Trade-off Analytics: Creating and Exploring the System Tradespace is written for upper undergraduate students and graduate students studying systems design, systems engineering, industrial engineering and engineering management. This book also serves as a resource for practicing systems designers, systems engineers, project managers, and engineering managers.
Gregory S. Parnell, PhD, is a Research Professor in the Department of Industrial Engineering at the University of Arkansas. He is also a senior principal with Innovative Decisions, Inc., a decision and risk analysis firm and has served as Chairman of the Board. Dr. Parnell has published more than 100 papers and book chapters and was lead editor of Decision Making for Systems Engineering and Management, Wiley Series in Systems Engineering (2nd Ed, Wiley 2011) and lead author of the Handbook of Decision Analysis (Wiley 2013). He is a fellow of INFORMS, the INCOSE, MORS, and the Society for Decision Professionals.
Автор: T. Anderson; Felix Redmill; Chris Dale Название: Life Cycle Management For Dependability ISBN: 3540760733 ISBN-13(EAN): 9783540760733 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dependability has always been a vital attribute of operational systems, regardless of whether they are highly specialized or more general purpose. This volume aims to provide an overview of the topic, focusing on dependability as a lifecycle management issue.
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