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3 edition of Upper and lower bounds for semi-Markov reliability models of reconfigurable systems found in the catalog.

Upper and lower bounds for semi-Markov reliability models of reconfigurable systems

Upper and lower bounds for semi-Markov reliability models of reconfigurable systems

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  • 10 Currently reading

Published by National Aeronautics and Space Administration, Langley Research Center in Hampton, Va .
Written in English

    Subjects:
  • Markov processes -- Mathematical models.,
  • Reliability (Engineering),
  • Fault tolerance.,
  • Markov processes.,
  • Reliability analysis.,
  • Systems analysis.,
  • Systems engineering.

  • Edition Notes

    StatementAllan L. White.
    SeriesNASA contractor report -- 172340., NASA contractor report -- NASA CR-172340.
    ContributionsKentron Technical Center., Langley Research Center.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL16153816M

    This volume represents the proceedings of the 12th International Conference on ICT in Education, Research, and Industrial Applications, held in Kyiv, Ukraine, in June It comprises 62 contributed papers that were carefully peer reviewed ( reviews per paper) and selected from submissions. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continuous optimization, segmentation, motion and video, learning and shape analysis.; Fast-track conference proceedings. State-of-the-art research. Up-to-date results. Given a delay constraint D, we first characterize the optimal multicast capacity for each of the eight types of mobility models, and then we develop a scheme that can achieve a capacity-delay tradeoff close to the upper bound up to a logarithmic factor. In addition, we also study heterogeneous networks with infrastructure support. This new edition has been expanded to include more problems, as well as solutions, and more biological examples. Excel spreadsheets illustrating most of the models in the book are included on an attached CD. Readers can manipulate the spreadsheets to demonstrate mathematical models at their own computers.; A comprehensive introduction for students.


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Upper and lower bounds for semi-Markov reliability models of reconfigurable systems Download PDF EPUB FB2

Get this from a library. Upper and lower bounds for semi-Markov reliability models of reconfigurable systems. [Allan L White; Kentron Technical Center.; Langley Research Center.]. Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time semi-Markov processes and their applications in reliability and maintenance.

The book explains how to construct semi-Markov models and discusses the different reliability parameters and characteristics that can be obtained from those models. Parallelized reliability estimation of reconfigurable computer networks ASSURE accepts a grammar that describes a reliability semi-Markov state-space.

placing upper and lower bounds on the. The aim of this paper is to give a unified approach for the evaluation of reliability- and performability-related indicators of semi-Markov systems: reliability, availability, alpha-reliable. Semi-Markov Models: Control of Restorable Systems with Latent Failures - Kindle edition by Yuriy E Obzherin, Elena G Boyko.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Semi-Markov Models: Control of Restorable Systems with Latent Failures.

This book is the result of the International Symposium on Semi­ Markov Processes and their Applications held on Juneat the Universite Libre de Bruxelles with the help of the FNRS (Fonds National de la Recherche Scientifique, Belgium), the Ministere de l'Education Nationale (Belgium) and the Bernoulli Society for Mathe­ matical Statistics and by:   Semi-Markov processes theory delivers some methods that allow us to construct models of the operation process, especially in the reliability aspect.

Semi-Markov model of the many steps operation is presented in the chapter. The considered operation consists Author: Franciszek Grabski. Abstract. The purpose of this chapter is to present the reliability analysis of semi-Markov systems. The underconsideration semi-Markov processes are both of continuous and discrete time with countable or finite state space and of general state : M.

Luz Gámiz, K. Kulasekera, Nikolaos Limnios, Bo Henry Lindqvist. Tree Analysis, is frequently used by reliability engineers.

Unfortunately, for reconfigurable systems, the fault-tree approach is inadequate. This is true whether the recon-figuration is byreplacing a faulty unit with a spare or by removingthe faulty unit anddegrading to alowerlevel of redundancy.

The more powerful Markov model must be used to. This type of stochastic behavior modeled by Semi-Markov models (see Howard, Volume II) and they have been used in reliability models in several occasions in the last 30 years (e.g.,).

van Dijkhuizen and van der Heijden, in particular, offer an alternative presentation of a three-state Semi-Markov system and derive closed formulae for a Cited by: The purpose of this article is to address this issue by establishing upper and lower bounds on the condition number of the chain such that the bounding terms are functions of the eigenvalues of the transition matrix.

SIAM Journal on Matrix Analysis and ApplicationsFrom differential to difference importance measures for Markov Cited by: Semi-Markov processes in modelling and reliability: a new approach M.

Carravetta lnstituto di Statistica, Facolta di Economia dell'Universit?t di Napoli, Napoli, Italy R. De Dominicis Instituto di Matematica, Facolta di Economia dell'Universitd di Napoli, Napoli, ltaly M. D'Esposito Instituto di Statistica, Facolta di Economia dell'Universit;, di Napoli, Napoli, Italy (Received Decem b er Cited by: 5.

Next, we briefly review the literature on models for repairable systems that account for the effect of successive repairs on the reliability. Ravichandran [1] studied a class of elementary models of redundant repairable systems of which the stochastic behaviour induced a semi-Markov process, and this author supplied several elementary examples.

Many bridge management systems (BMSs) use a Markov chain model to forecast the deterioration process. The Markov property may be considered to be restrictive when modeling the deterioration of transportation assets, primarily because of the memoryless property and assumption of exponential distribution for sojourn times in the condition states.

Semi-Markov model, reliability characteristics Abstract Probabilistic model of a system composed of a main component, an emergency backup component and the automatic switch are discussed in this paper. The reliability model is semi-Markov process describing evolution of the system.

Buy Dynamic Probabilistic Systems: Markov Models: 1 (Dover Books on Mathematics) by Howard, Ronald A (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on eligible orders.5/5(1). was shown that all the semi-Markov models perform better than the Markov chain model in reproducing the statistical properties of wind speed data. In particular, the model recognized as being the more suitable is the second order semi-Markov model in state and duration.

One of the purposes of this paper is to provides methods for computing. Sorting the states in as state 0, state 1, state 2, state 3, state 4, state 5, state 6, state 7, state 8, state 9, st st st st st and st we can get the transition rate matrix of, from Figure ion is as where.

Availability of the System. Assume that denotes the state probabilities of the. can be found from the Kolmogorov equations given Cited by: 1. synthesis which extend the double stochastic models from speech recognition by integrating a more realistic duration of the target waveforms.

The method, which has general applicability, is applied to earthquake detection and classi-fication.

First, we generate characteristic functions from the time-series. The Hidden semi-Markov Models are. We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semi-CRF on an input sequence x outputs a "segmentation" of x, in which labels are assigned to segments (i.e., subsequences) of x rather than to individual elements x i of antly, features for semi-CRFs can measure properties of segments, and transitions Cited by: The dynamics of the bid and ask queues are modeled by Markov renewal process and the mid-prices - by a semi-Markov process.

We justify and illustrate the approach by calibrating our model to the five stocks, Amazon, Apple, Google, Intel, Microsoft, on June 21st, (Lobster data), to the 15 stocks from Deutsche Boerse Group (September 23d.

Overview 1 Introduction to Limit Order Books and Markets 2 [Cont & Larrard()]: Price Dynamics in a Markovian Limit Order Market 3 [Swishchuk & Vadori(a)]: A Semi-Markovian Modeling of Limit Order Markets 4 Our extensions [Swishchuk, Cera, Schmidt & Hofmeister ()] 5 References Katharina Cera & Julia Schmidt Limit Order Books September 25th 2 / Full text of "Reliable computer systems: design and evaluation" See other formats.

Computer systems are becoming extremely complex, while system anomalies dramatically influence the availability and usability of systems. Online anomaly prediction is an important approach to manage imminent anomalies, and the high accuracy relies on precise system monitoring data.

However, precise monitoring data is not easily achievable because of widespread by: 5. approximate models on a reduced state-action space that may be easier to handle, but their performance is usually limited by the scale of the approximation in the model [27].

And yet, many recent field tests of ADP/RL ap-pear to exploit the model. Some of these tests. Dharmaraja earned his Ph.D. degree in Mathematics from the Indian Institute of Technology Madras, in He has been with the Department of Mathematics, IIT Delhi, sincewhere he is currently Head, Training and Placement Unit from Sept.

and he is a Professor, Department of Mathematics and joint faculty of Bharti School of Telecommunication Technology and Management from June At the 9th Workshop on Hot Topics in Dependable Systems (HotDep), held in conjunction with the 24th ACM Symposium on Operating Systems Principles (SOSP), pp.November 3,Nemacolin Woodlands Resort, PA.

(Acceptance rate: 11/21 = %) [ Abstract]. Full text of "Reliability and Fault Tolerance Issues in Real Time Systems" See other formats.

Handbook of Sensor Networking. A d v a n c e d Te c h n o l o g i e s and Applications EDITED BY. JOHN R. VACCA. Boca Raton London New York. CRC Press is. [] G. Jovanovic Dolecek & S. Mitra, “ Multiplier –Free Wide-band FIR Filter Design Using Modified Frequency Masking Technique”, IEEE International Midwest Symposium on Circuits and Systems, San Juan, Portorico, Agost ( /06) [] G.

Jovanovic Dolecek, and V. Dolecek, “On the method for multiplierless FIR filter design,” International Conference CONTI. () Rapid design and reconfiguration of Petri net models for reconfigurable manufacturing cells with improved net rewriting systems and activity diagrams.

Computers & Industrial Engineering 57 Cited by: We present proof rules to establish lower and upper real-time bounds for response properties of real-time transition systems. This proof system can be used to verify bounded-invariance and bounded-response properties, such as timely terrnination of shared-variables multi-process systems, whose semantics is defined in terms of real-time.

Ofer M. Shir (IBM Research), Dmitry Moor (IBM Systems and Technology Group) and Shahar Chen, David Amid, David Boaz and Ateret Anaby-Tavor (IBM Research) Abstract Abstract Simulation performance may be evaluated according to multiple quality measures that are in competition and their simultaneous consideration poses a conflict.

International Journal of Engineering and Advanced Technology International Journal of Engineering and Advanced Technology ISSN: - Website: n c ed T e v a c h d n A o l d o n g a y g n i r e e n i I n g t n e E r n f a o l t i o n n r a u o J l IJEat Exploring Innovation Distribution Systems, Reliability Indices.

Risk, Reliability and Safety contains papers describing innovations in theory and practice contributed to the scientific programme of the European Safety and Reliability conference (ESREL ), held at the University of Strathclyde in Glasgow, Scotland ( September ).

As opposed to shallow models (e.g., factorization-based models), deep models generally provide a greater extent of expressiveness, albeit at the expense of impaired/restricted information flow. Consequently, the performance of most neural CF models plateaus at layers, with performance stagnating or even degrading when increasing the model.

BOOK - Walls - Risk, Reliability and Safety - Innovating Theory and Practice () - Free ebook download as PDF File .pdf), Text File .txt) or read book online for free. Risk, Reliability and Safety - Innovating Theory and Practice (). RG Sanfelice, Analysis and design of cyber-physical systems: a hybrid control systems approach, Cyber-Physical Systems,J Chai, RG Sanfelice, On notions and sufficient conditions for forward invariance of sets for hybrid dynamical systems, 54th IEEE Conference on Decision and Control (CDC), Semi-Markov Perturbed Dynamical Differential Systems and their Use in Structural Reliability.- Customer-perceived Software Reliability Predictions: beyond defect prediction models.- Recent Developments in Software Reliability Modeling and its Applications.- Application of EM Algorithm to NHPP-based Software Reliability Assessment.- ABSTRACT BOOK ROME JULY, Sampling and integer programming approach for solving water distribution network with reliability consideration Asrin Lubis where g is a quadratic function of x and of additional binary variables y.

We establish lower and upper bounds on the number of additional y-variables needed in such a. Our upper bounds on the quantum capacity of the GADC are tighter than the known upper bound reported recently in [Rosati et al., Nat.

Commun. 9, ()] for the entire parameter range of the GADC, thus reducing the gap between the lower and upper bounds. We also establish upper bounds on the two-way assisted quantum and private capacities.For instance, this occurs in aging processes accumulating memory over time, or in real-time systems or network protocols where correctness depends on firm time bounds.

In these cases, the future evolution depends on the remaining time of GEN durations, and the underlying stochastic process may satisfy the Markov condition only at [email protected]{BergOverload, AUTHOR="Arthur W. Berger", TITLE="Overload Control in Star Networks: Comparison of Percent Blocking Throttle and {LIFO} Queue Discipline", NOTE="Work.