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  • Open Access

    ARTICLE

    Reliability Analysis Based on Optimization Random Forest Model and MCMC

    Fan Yang1,2,3,*, Jianwei Ren1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 801-814, 2020, DOI:10.32604/cmes.2020.08889

    Abstract Based on the rapid simulation of Markov Chain on samples in failure region, a novel method of reliability analysis combining Monte Carlo Markov Chain (MCMC) with random forest algorithm was proposed. Firstly, a series of samples distributing around limit state function are generated by MCMC. Then, the samples were taken as training data to establish the random forest model. Afterwards, Monte Carlo simulation was used to evaluate the failure probability. Finally, examples demonstrate the proposed method possesses higher computational efficiency and accuracy. More >

  • Open Access

    ARTICLE

    A Bayesian Updating Method for Non-Probabilistic Reliability Assessment of Structures with Performance Test Data

    Jiaqi He1, Yangjun Luo1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 777-800, 2020, DOI:10.32604/cmes.2020.010688

    Abstract For structures that only the predicted bounds of uncertainties are available, this study proposes a Bayesian method to logically evaluate the nonprobabilistic reliability of structures based on multi-ellipsoid convex model and performance test data. According to the given interval ranges of uncertainties, we determine the initial characteristic parameters of a multi-ellipsoid convex set. Moreover, to update the plausibility of characteristic parameters, a Bayesian network for the information fusion of prior uncertainty knowledge and subsequent performance test data is constructed. Then, an updated multi-ellipsoid set with the maximum likelihood of the performance test data can be achieved. The credible non-probabilistic reliability… More >

  • Open Access

    ARTICLE

    Reliable Differentiated Services Optimization for Network Coding Cooperative Communication System

    Anfeng Liu1, Jie Min1, Kaoru Ota2, Ming Zhao3

    Computer Systems Science and Engineering, Vol.33, No.4, pp. 235-250, 2018, DOI:10.32604/csse.2018.33.235

    Abstract Software-Defined Networking (SDN) is a new network architecture with flexibility and scalability, researchers introduced the core idea of SDN into wireless network, and a cooperative communication system based on network coding is proposed. In this paper, we carry on an investigation in differentiated service strategy of network coding cooperative communication system. The meaning of differentiated services is for the different applications take different power for data transmission and the transmission power is associated with their reliability needs. In other words, transmission power control is performed in the presence of known reliability, we named the scheme Reliability-Bounded Transmission Power Control (RTPC)… More >

  • Open Access

    ARTICLE

    Development of Available Transfer Capability Enhancement Using Intelligent Genetic Algorithm for IEEE Bus System

    R. Rohini1, Dasari Narasimha Rao2, S. Ravi3, V. Sampath Kumar4

    Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 433-440, 2019, DOI:10.31209/2018.100000015

    Abstract Improving Available Transfer Capability is an important issue in the deregulated power systems. The Available Transfer Capability of a transmission network is the transfer capabilities of a transmission network for the transfer of power for further commercial activity, over and above already committed usage. It is a proven fact that Flexible Alternating Current Transmission System technology can control voltage magnitude, phase angle, and circuit reactance. Therefore, it is important to investigate the impact of Flexible Alternating Current Transmission System controllers on the available transfer capability. This paper is focuses on the evaluation impact of Thyristor controlled switched capacitors and static… More >

  • Open Access

    ARTICLE

    A Genetic Algorithm to Solve Capacity Assignment Problem in a Flow Network

    Ahmed Y. Hamed1, Monagi H. Alkinani2, M. R. Hassan3, *

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1579-1586, 2020, DOI:10.32604/cmc.2020.010881

    Abstract Computer networks and power transmission networks are treated as capacitated flow networks. A capacitated flow network may partially fail due to maintenance. Therefore, the capacity of each edge should be optimally assigned to face critical situations—i.e., to keep the network functioning normally in the case of failure at one or more edges. The robust design problem (RDP) in a capacitated flow network is to search for the minimum capacity assignment of each edge such that the network still survived even under the edge’s failure. The RDP is known as NP-hard. Thus, capacity assignment problem subject to system reliability and total… More >

  • Open Access

    ARTICLE

    Translation and Validation of the Family-Focused Mental Health Practice Questionnaire-Japanese Version

    Rie Ueno1,*, Darryl Maybery2, Andrea Reupert3, Hirokazu Osada4

    International Journal of Mental Health Promotion, Vol.22, No.2, pp. 59-69, 2020, DOI:10.32604/IJMHP.2020.011180

    Abstract Children of parents with mental illness are more likely to experience mental health concerns, compared to other children in the community. Thus, it is important mental health professionals identify and intervene appropriately in these families. To develop professional development activities, practice guidelines and organizational supports, it is important to first identify those practices that professionals employ and do not employ. Accordingly, a Japanese version of the Family-Focused Mental Health Practice Questionnaire was developed. In the first instance, the Questionnaire was translated into Japanese and disseminated to mental health workers in various Japanese settings. Based on 212 participants’ data, exploratory factor… More >

  • Open Access

    ARTICLE

    Estimation of the Stress-Strength Reliability for Exponentiated Pareto Distribution Using Median and Ranked Set Sampling Methods

    Amer Ibrahim Al-Omari1, *, Ibrahim M. Almanjahie2, Amal S. Hassan3, Heba F. Nagy4

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 835-857, 2020, DOI:10.32604/cmc.2020.10944

    Abstract In reliability analysis, the stress-strength model is often used to describe the life of a component which has a random strength (X) and is subjected to a random stress (Y). In this paper, we considered the problem of estimating the reliability R=P [Y<X] when the distributions of both stress and strength are independent and follow exponentiated Pareto distribution. The maximum likelihood estimator of the stress strength reliability is calculated under simple random sample, ranked set sampling and median ranked set sampling methods. Four different reliability estimators under median ranked set sampling are derived. Two estimators are obtained when both strength… More >

  • Open Access

    ARTICLE

    Prediction of Web Services Reliability Based on Decision Tree Classification Method

    Zhichun Jia1, 2, Qiuyang Han1, Yanyan Li1, Yuqiang Yang1, Xing Xing1, 2, *

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1221-1235, 2020, DOI:10.32604/cmc.2020.09722

    Abstract With the development of the service-oriented computing (SOC), web service has an important and popular solution for the design of the application system to various enterprises. Nowadays, the numerous web services are provided by the service providers on the network, it becomes difficult for users to select the best reliable one from a large number of services with the same function. So it is necessary to design feasible selection strategies to provide users with the reliable services. Most existing methods attempt to select services according to accurate predictions for the quality of service (QoS) values. However, because the network and… More >

  • Open Access

    ARTICLE

    A Comprehensive Model for Structural Non-Probabilistic Reliability and the Key Algorithms

    Wencai Sun1, ∗, Zichun Yang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 309-332, 2020, DOI:10.32604/cmes.2020.08386

    Abstract It is very difficult to know the exact boundaries of the variable domain for problems with small sample size, and the traditional convex set model is no longer applicable. In view of this, a novel reliability model was proposed on the basis of the fuzzy convex set (FCS) model. This new reliability model can account for different relations between the structural failure region and variable domain. Key computational algorithms were studied in detail. First, the optimization strategy for robust reliability is improved. Second, Monte Carlo algorithms (i.e., uniform sampling method) for hyper-ellipsoidal convex sets were studied in detail, and errors… More >

  • Open Access

    ARTICLE

    Reliability Analysis of Slope Stability Considering Temporal Variations of Rock Mass Properties

    Xin Gu2, Lin Wang1, 2, 3, Fuyong Chen2, Hongrui Li2, Wengang Zhang1, 2, 3, ∗

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 263-281, 2020, DOI:10.32604/cmc.2020.07535

    Abstract Temporal variation of rock mass properties, especially the strength degradation due to drying-wetting cycles as well as the acidic wetting fluid (rainfall or reservoir water) is crucial to stability of reservoir rock slopes. Based on a series of drying-wetting cycling and experiments considering the influences of pH values, the degradation degree models of the reduced cohesion c′, friction angle φ′ are developed. 2D stability analysis of the slope is subsequently carried out to calculate the factor of safety (Fs) via limit equilibrium method (LEM) and a predictive model of Fs is built using multivariate adaptive regression splines (MARS), revealing the… More >

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