Probabilistic Logic Modeling Of Network Reliability For Hybrid Network Architectures
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Probabilistic Logic Modeling Of Network Reliability For Hybrid Network Architectures
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Author :
language : en
Publisher:
Release Date : 1996
Probabilistic Logic Modeling Of Network Reliability For Hybrid Network Architectures written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Sandia National Laboratories has found that the reliability and failure modes of current-generation network technologies can be effectively modeled using fault tree-based probabilistic logic modeling (PLM) techniques. We have developed fault tree models that include various hierarchical networking technologies and classes of components interconnected in a wide variety of typical and atypical configurations. In this paper we discuss the types of results that can be obtained from PLMs and why these results are of great practical value to network designers and analysts. After providing some mathematical background, we describe the 'plug-and-play' fault tree analysis methodology that we have developed for modeling connectivity and the provision of network services in several current- generation network architectures. Finally, we demonstrate the flexibility of the method by modeling the reliability of a hybrid example network that contains several interconnected ethernet, FDDI, and token ring segments. 11 refs., 3 figs., 1 tab.
Risk And Reliability Assessment For Telecommunications Networks
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Author :
language : en
Publisher:
Release Date : 1996
Risk And Reliability Assessment For Telecommunications Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Sandia National Laboratories has assembled an interdisciplinary team to explore the applicability of probabilistic logic modeling (PLM) techniques to model network reliability for a wide variety of communications network architectures. The authors have found that the reliability and failure modes of current generation network technologies can be effectively modeled using fault tree PLM techniques. They have developed a ''plug-and-play'' fault tree analysis methodology that can be used to model connectivity and the provision of network services in a wide variety of current generation network architectures. They have also developed an efficient search algorithm that can be used to determine the minimal cut sets of an arbitrarily-interconnected (non-hierarchical) network without the construction of a fault tree model. This paper provides an overview of these modeling techniques and describes how they are applied to networks that exhibit hybrid network structures (i.e., a network in which some areas are hierarchical and some areas are not hierarchical).
Fault Tree Analysis
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Author :
language : en
Publisher:
Release Date : 2000
Fault Tree Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Reliability (Engineering) categories.
Contains references to documents in the NASA Scientific and Technical Information (STI) Database.
Proceedings Of The International Topical Meeting On Probabilistic Safety Assessment
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Author :
language : en
Publisher:
Release Date : 1996
Proceedings Of The International Topical Meeting On Probabilistic Safety Assessment written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Factories categories.
Handbook Of Probabilistic Models
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Author : Pijush Samui
language : en
Publisher: Butterworth-Heinemann
Release Date : 2019-10-05
Handbook Of Probabilistic Models written by Pijush Samui and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-05 with Computers categories.
Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems
Bayesian Networks For Reliability Engineering
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Author : Baoping Cai
language : en
Publisher: Springer
Release Date : 2019-02-28
Bayesian Networks For Reliability Engineering written by Baoping Cai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.
This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliability. After focusing on the engineering systems, the book subsequently discusses twelve important issues in the BN-based reliability methodologies, such as BN structure modeling, BN parameter modeling, BN inference, validation, and verification. As such, it is a valuable resource for researchers and practitioners in the field of reliability engineering.
Design And The Reliability Factor
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Author : John Day
language : en
Publisher: SAE International
Release Date : 2015-11-23
Design And The Reliability Factor written by John Day and has been published by SAE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-23 with Technology & Engineering categories.
Sophisticated infotainment systems, lane departure warning, adaptive cruise control, and blind-spot monitoring are increasingly common in cars today. The proliferation of automotive electronics and other “smart” features has increased the market for automotive semiconductor devices and the number of sensors per vehicle. Yet, more chips and greater functionality translate to further networking/communications activity within the car, and that raises the prospect of potentially serious errors. How to minimize them by design is the focus of this book, which contains seven of SAE International’s handpicked technical papers, covering: • A way to calculate the reliability of priority-driven, real-time components with respect to timing failures, resulting in a realistic estimate of each component’s reliability. • A delayed-decision cycle detection method that can detect and prevent spoofing attacks with high accuracy. • An AUTOSAR-compliant automotive platform for meeting reliability and timing constraints. • An eight-point process for determining the cause of failures with real-world cases in which the process was used. • The use of accelerated reliability and durability testing technology for better performance estimation. • How to achieve reliable sensor-fusion despite system complexity and inconsistency. • How to improve domain controller availability while maintaining functional safety in mixed-criticality automotive safety systems.
Engineering Design Reliability Handbook
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Author : Efstratios Nikolaidis
language : en
Publisher: CRC Press
Release Date : 2004-12-22
Engineering Design Reliability Handbook written by Efstratios Nikolaidis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12-22 with Mathematics categories.
Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality. Considering the lack of comprehensive and defini
Applications Of Mathematical Modeling Machine Learning And Intelligent Computing For Industrial Development
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Author : Madhu Jain
language : en
Publisher: CRC Press
Release Date : 2023-06-07
Applications Of Mathematical Modeling Machine Learning And Intelligent Computing For Industrial Development written by Madhu Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-07 with Technology & Engineering categories.
The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics. The book: Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.
Advanced Hybrid Information Processing
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Author : Weina Fu
language : en
Publisher: Springer Nature
Release Date : 2023-03-21
Advanced Hybrid Information Processing written by Weina Fu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
This two-volume set constitutes the post-conference proceedings of the 6th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2022, held in Changsha, China, in September 29-30, 2022. The 109 full papers presented were selected from 276 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: Information Extracting and Processing in Digital World; Education Based methods in Learning and Teaching; Various Systems for Digital World.