The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
A. A. Papadopoulou - One of the best experts on this subject based on the ideXlab platform.
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Non-homogeneous semi-Markov systems and maintainability of the state sizes
Journal of Applied Probability, 1992Co-Authors: P.-c. G. Vassiliou, A. A. PapadopoulouAbstract:In this paper we introduce and define for the first time the concept of a non-homogeneous semi-Markov system (NHSMS). The problem of finding the Expected population stucture is studied and a method is provided in order to find it in closed analytic form with the basic parameters of the system. Moreover, the problem of the Expected Duration structure in the state is studied. It is also proved that all maintainable Expected Duration structures by recruitment control belong to a convex set the vertices of which are specified. Finally an illustration is provided of the present results in a manpower system.
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Non-homogeneous semi-Markov systems and maintainability of the state sizes
Journal of Applied Probability, 1992Co-Authors: P.-c. G. Vassiliou, A. A. PapadopoulouAbstract:In this paper we introduce and define for the first time the concept of a non-homogeneous semi-Markov system (NHSMS). The problem of finding the Expected population stucture is studied and a method is provided in order to find it in closed analytic form with the basic parameters of the system. Moreover, the problem of the Expected Duration structure in the state is studied. It is also proved that all maintainable Expected Duration structures by recruitment control belong to a convex set the vertices of which are specified. Finally an illustration is provided of the present results in a manpower system. STOCHASTIC POPULATION MODELS; SEMI-MARKOV PROCESS; MANPOWER SYSTEMS; NON-HOMOGENEOUS MARKOV CHAINS AMS 1991 SUBJECT CLASSIFICATION: PRIMARY 90B70 SECONDARY 60J20
P.-c. G. Vassiliou - One of the best experts on this subject based on the ideXlab platform.
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Non-homogeneous semi-Markov systems and maintainability of the state sizes
Journal of Applied Probability, 1992Co-Authors: P.-c. G. Vassiliou, A. A. PapadopoulouAbstract:In this paper we introduce and define for the first time the concept of a non-homogeneous semi-Markov system (NHSMS). The problem of finding the Expected population stucture is studied and a method is provided in order to find it in closed analytic form with the basic parameters of the system. Moreover, the problem of the Expected Duration structure in the state is studied. It is also proved that all maintainable Expected Duration structures by recruitment control belong to a convex set the vertices of which are specified. Finally an illustration is provided of the present results in a manpower system.
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Non-homogeneous semi-Markov systems and maintainability of the state sizes
Journal of Applied Probability, 1992Co-Authors: P.-c. G. Vassiliou, A. A. PapadopoulouAbstract:In this paper we introduce and define for the first time the concept of a non-homogeneous semi-Markov system (NHSMS). The problem of finding the Expected population stucture is studied and a method is provided in order to find it in closed analytic form with the basic parameters of the system. Moreover, the problem of the Expected Duration structure in the state is studied. It is also proved that all maintainable Expected Duration structures by recruitment control belong to a convex set the vertices of which are specified. Finally an illustration is provided of the present results in a manpower system. STOCHASTIC POPULATION MODELS; SEMI-MARKOV PROCESS; MANPOWER SYSTEMS; NON-HOMOGENEOUS MARKOV CHAINS AMS 1991 SUBJECT CLASSIFICATION: PRIMARY 90B70 SECONDARY 60J20
Steven D Eppinger - One of the best experts on this subject based on the ideXlab platform.
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a predictive model of sequential iteration in engineering design
Management Science, 1997Co-Authors: Robert P Smith, Steven D EppingerAbstract:This paper presents a model describing sequential iteration, one of the fundamental solution processes experienced in complex engineering design projects. The model is based upon the design structure matrix representation and assumes that each individual design activity is of deterministic Duration with probabilistic repetition, where the repeat probabilities are defined by the strength of the task coupling. Using the model, we are able to compute the Expected Duration of the iterative solution process, and to suggest an initial ordering of the coupled design tasks to minimize the Expected Duration. We conclude the paper with a discussion of limitations and several extensions to the sequential iteration model.
Luo Wen-jie - One of the best experts on this subject based on the ideXlab platform.
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Extended Analytic Model of Sequential Iterative Processes
Computer Engineering, 2008Co-Authors: Luo Wen-jieAbstract:An extended analytic model of sequential iterative processes is proposed. The rework impact factors included in this model take into account the impact of iteration on the task Duration and the remaining time of the task at the same time. An Extended form of Design Structure Matrix(EDSM) is introduced. The EDSM can describe the model. An analytic method for calculating the Expected Duration of the extended sequential iterative process is presented on the condition of assuming that the model parameters are deterministic. This method is illustrated by an application involving the calculation of the Expected Duration of software development processes.
Alban Vignaux - One of the best experts on this subject based on the ideXlab platform.
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improving operation time bounded mission critical systems attack survivability through controlled source code transformation
Security of Information and Networks, 2011Co-Authors: Bogdan Korel, Kevin Kwiat, Arnaud Auguste, Alban VignauxAbstract:Mission critical systems often operate for limit time Durations. For these systems, we subscribe to the notion that provisioning of security can be based on the Expected Duration of a system's mission. In this paper, we present a simple and safe K-variant approach to improve time-based mission critical systems' attack-survivability and provide formal analysis about K-variant system's attack survivability under M memory-based attack attempts. Our theoretical analysis supported by extensive simulations and a case study provide good evidences that the proposed approach may be in improving system's attack-survivability.
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SIN - Improving operation time bounded mission critical systems' attack-survivability through controlled source-code transformation
Proceedings of the 4th international conference on Security of information and networks - SIN '11, 2011Co-Authors: Bogdan Korel, Kevin Kwiat, Arnaud Auguste, Shangpin Ren, Alban VignauxAbstract:Mission critical systems often operate for limit time Durations. For these systems, we subscribe to the notion that provisioning of security can be based on the Expected Duration of a system's mission. In this paper, we present a simple and safe K-variant approach to improve time-based mission critical systems' attack-survivability and provide formal analysis about K-variant system's attack survivability under M memory-based attack attempts. Our theoretical analysis supported by extensive simulations and a case study provide good evidences that the proposed approach may be in improving system's attack-survivability.
