01198nam 2200409 450 991082995640332120230629234221.01-119-52844-51-119-52843-71-119-52842-9(CKB)4100000010870932(MiAaPQ)EBC6313886(EXLCZ)99410000001087093220210107d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntroduction to statistical process control /Muhammad Aslam, Aamir Saghir, Liaquat AhmadHoboken, New Jersey :Wiley,[2021]©20211 online resource (282 pages)1-119-52845-3 Process controlStatistical methodsProcess controlStatistical methods.658.562015195Aslam Muhammad643574Saghir AamirAhmad LiaquatMiAaPQMiAaPQMiAaPQBOOK9910829956403321Introduction to statistical process control4053657UNINA03934nam 22007215 450 991059004490332120241209154803.09783031142567(electronic bk.)978303114255010.1007/978-3-031-14256-7(MiAaPQ)EBC7079646(Au-PeEL)EBL7079646(CKB)24767772900041(DE-He213)978-3-031-14256-7(PPN)264192591(EXLCZ)992476777290004120220831d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierRegional Failure Events in Communication Networks Models, Algorithms and Applications /by Balázs Vass1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (130 pages)Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061Print version: Vass, Balázs Regional Failure Events in Communication Networks Cham : Springer International Publishing AG,c2022 9783031142550 Introduction -- Formal Problem Statement -- RelatedWork -- Algorithmic Background.This book presents a comprehensive study covering the design and application of models and algorithms for assessing the joint device failures of telecommunication backbone networks caused by large-scale regional disasters. At first, failure models are developed to make use of the best data available; in turn, a set of fast algorithms for determining the resulting failure lists are described; further, a theoretical analysis of the complexity of the algorithms and the properties of the failure lists is presented, and relevant practical case studies are investigated. Merging concepts and tools from complexity theory, combinatorial and computational geometry, and probability theory, a comprehensive set of models is developed for translating the disaster hazard in informative yet concise data structures. The information available on the network topology and the disaster hazard is then used to calculate the possible (probabilistic) network failures. The resulting sets of resources that are expected to break down simultaneously are modeled as a collection of Shared Risk Link Groups (SRLGs), or Probabilistic SRLGs. Overall, this book presents improved theoretical methods that can help predicting disaster-caused network malfunctions, identifying vulnerable regions, and assessing precisely the availability of internet services, among other applications.Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061Computer networksComputer scienceGeometryStatisticsSystem theoryComputer NetworksComputational GeometryStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesComplex SystemsSistemes de telecomunicacióthubGestió d'emergènciesthubLlibres electrònicsthubComputer networks.Computer science.Geometry.Statistics.System theory.Computer Networks.Computational Geometry.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Complex Systems.Sistemes de telecomunicacióGestió d'emergències363.348621.3820113Vass Balázs0MiAaPQMiAaPQMiAaPQ9910590044903321Regional Failure Events in Communication Networks2908185UNINA