A reliability evaluation method for embryonic cellular array based on Markov status graph model

Due to the limitations of the existing fault detection methods in the embryonic cellular array(ECA), the fault detection coverage cannot reach 100%. In order to evaluate the reliability of the ECA more accurately, embryonic cell and its input and output(I/O) resources are considered as a whole, named functional unit(FU). The FU fault detection coverage parameter is introduced to ECA reliability analysis, and a new ECA reliability evaluation method based on the Markov status graph model is proposed.Simulation experiment results indicate that the proposed ECA reliability evaluation method can evaluate the ECA reliability more effectively and accurately. Based on the proposed reliability evaluation method, the influence of parameters change on the ECA reliability is studied, and simulation experiment results show that ECA reliability can be improved by increasing the FU fault detection coverage and reducing the FU failure rate. In addition, by increasing the scale of the ECA, the reliability increases to the maximum first, and then it will decrease continuously. ECA reliability variation rules can not only provide theoretical guidance for the ECA optimization design, but also point out the direction for further research.

The System Analysis and Reliability Evaluation of Rock Slopes

The principal of preferred plane analysis is a new research view and model of rock slope engineering geology. It advocates that the rock slope stability, boundary conditions and failure model are controlled by preferred planes. Therefore, the problem of slope stability evaluation can be converted into the search for preferred planes and determination of preferred separating bodies. The organic combination of the deterministic model and the indeterministic model can be realized by applying the systems engineering principle and the research model and method of reliability analysis in the quantitative evaluation and prediction of rock slope stability. Finally, the paper presents the case studies of slopes of the Yangtze Gorge Project and the Ma'anshan openpit mine.

Analysis on Some of Software Reliability Models

Software reliability and maintainability evaluation tool (SRMET 3.0) is introducted in detail in this paper, which was developed by Software Evaluation and Test Center of China Aerospace Mechanical Corporation. SRMET 3.0 is supported by seven software reliability models and four software maintainability models. Numerical characteristics for all those models are deeply studied in this paper, and corresponding numerical algorithms for each model are also given in the paper.

Study on the Reliability Evaluation of Qualitative Indices in Multi-Objective Decision

Qualitative indices in multi-objective decision can usually be evaluated and measured by mathematical methods or models, but the obtained results are sometimes inaccurate because of fuzziness of indices. To improve the accuracy and reliability of the evaluation results, set-value statistic principle is applied, and accordingly four evaluation methods are obtained. Meanwhile, these methods are compared briefly.

Research on Software Structure Analysis Technology and Reliability Evaluation Method of Warship Equipment

In view of the current reliability evaluation requirements of warship equipment based on component, this paper comprehensively considered the characteristics of components,and the component identification method, structural decomposition method,component architecture modeling method were studied for warship equipment software. Based on the characteristics of warship equipment component, this paper proposed a formal modeling language based on Petri nets to realize the modeling of component software architecture and laid a foundation for the reliability evaluation method research of warship equipment component.

Reliability modelling based on dependent two-stage virtual age processes

This paper proposes reliability and maintenance models for systems suffering random shocks arriving according to a non-homogeneous Poisson process.The system degradation process include two stages:from the installation of a new system to an initial point of a defect(normal stage),and then from that point to failure(defective stage),following the delay time concept.By employing the virtual age method,the impact of external shocks on the system degradation process is characterized by random virtual age increment in the two stages,resulting in the corresponding two-stage virtual age process.When operating in the defective state,the system becomes more susceptible to fatigue and suffers from a greater aging rate.Replacement is carried out either on failure or on the detection of a defective state at periodic or opportunistic inspections.This paper evaluates system reliability performance and investigates the optimal opportunistic maintenance policy.A case study on a cooling system is given to verify the obtained results.

Reliability Evaluation Optimal Selection Model of Component-Based System

If the components in a component-based software system come from different sources, the characteristics of the components may be different. Therefore, evaluating the reliability of a component-based system with a fixed model for all components will not be reasonable. To solve this problem, this paper combines a single reliability growth model with an architecture-based reliability model, and proposes an optimal selecting approach. First, the most appropriate model of each component is selected according to the historical reliability data of the component, so that the evaluation deviation is the smallest. Then, system reliability is evaluated according to both the relationships among components and the using frequency of each component. As the approach takes into account the historical data and the using frequency of each component, the evaluation and prediction results are more accurate than those of using a single model.

EVALUATION OF THE GEOLOGICAL RELIABILITY OF SURFACE MINING DEPOSIT

The optimal deeision theory and exploitation reliability of large scale mining area have been studied China since the late 1980’s. Researches have been earried out under the thought of mannature - machine system , and eneouraging results have been obtained. The reliability evaluation of mining engineering ineludes the rellability exaluation of natural resources, mining technology and mine economics ete. And the geological reliability of deposit, as a natural condition, is the basis of all other evaiuation works. The paper summarizes the method for evaluating the geological reliaoility of deposit, diseusces the reliability of estimating methods for coal reserves and coai quality, evaiuates the natural resourees rellability of the Pit 1 of Antaibao Surface Coai Mine, Pingsuo, Shanxi Province.which was taken as a case study.

Data Fusion about Serviceability Reliability Prediction for the Long-Span Bridge Girder Based on MBDLM and Gaussian Copula Technique

This article presented a new data fusion approach for reasonably predicting dynamic serviceability reliability of the long-span bridge girder.Firstly,multivariate Bayesian dynamic linear model(MBDLM)considering dynamic correlation among the multiple variables is provided to predict dynamic extreme deflections;secondly,with the proposed MBDLM,the dynamic correlation coefficients between any two performance functions can be predicted;finally,based on MBDLM and Gaussian copula technique,a new data fusion method is given to predict the serviceability reliability of the long-span bridge girder,and the monitoring extreme deflection data from an actual bridge is provided to illustrated the feasibility and application of the proposed method.

Early Stage Software Reliability Estimation with Stochastic Reward Nets

This paper presents software reliability modeling issues at the early stage of a software development for fault tolerant software management system. Based on Stochastic Reward Nets, an effective model of hierarchical view for a fault tolerant software management system is put forward, and an approach that consists of system transient performance analysis is adopted. A quantitative approach for software reliability analysis is given. The results show its usefulness for the design and evaluation of the early-stage software reliability modeling when failure data is not available.

Application reliability for communication networks and its analysis method

The network reliability is difficult to be evaluated because of the complex relationship among the network components.It can be quite different for different users running different applications on the same network.This paper proposes a new concept and a model of application reliability.Different from the existing models that ignores the effects of applications,the proposed application reliability model considers the effects of different applications on the network performance and different types of network faults and makes the analysis of network components relationship possible.This paper also provides a method to evaluate the application reliability when the data flow satisfies Markov properties.Finally,a case study is presented to illustrate the proposed network reliability model and the analysis method.

Testing and Evaluation for Web Usability Based on Extended Markov Chain Model

As the increasing popularity and complexity of Web applications and the emergence of their new characteristics, the testing and maintenance of large, complex Web applications are becoming more complex and difficult. Web applications generally contain lots of pages and are used by enormous users. Statistical testing is an effective way of ensuring their quality. Web usage can be accurately described by Markov chain which has been proved to be an ideal model for software statistical testing. The results of unit testing can be utilized in the latter stages, which is an important strategy for bottom-to-top integration testing, and the other improvement of extended Markov chain model (EMM) is to present the error type vector which is treated as a part of page node. this paper also proposes the algorithm for generating test cases of usage paths. Finally, optional usage reliability evaluation methods and an incremental usability regression testing model for testing and evaluation are presented. Key words statistical testing - evaluation for Web usability - extended Markov chain model (EMM) - Web log mining - reliability evaluation CLC number TP311. 5 Foundation item: Supported by the National Defence Research Project (No. 41315. 9. 2) and National Science and Technology Plan (2001BA102A04-02-03)Biography: MAO Cheng-ying (1978-), male, Ph.D. candidate, research direction: software testing. Research direction: advanced database system, software testing, component technology and data mining.

Service Life Design for Concrete Engineering in Marine Environments of Northern China Based on a Modified Theoretical Model of Chloride Diffusion and Large Datasets of Ocean Parameters

In this study,through experimental research and an investigation on large datasets of the durability parameters in ocean engineering,the values,ranges,and types of distribution of the durability parameters employed for the durability design in ocean engineering in northern China were confirmed.Based on a modified theoretical model of chloride diffusion and the reliability theory,the service lives of concrete structures exposed to the splash,tidal,and underwater zones were calculated.Mixed concrete proportions meeting the requirement of a service life of 100 or 120 years were designed,and a cover thickness requirement was proposed.In addition,the effects of the different time-varying relationships of the boundary condition(Cs)and diffusion coefficient(Df)on the service life were compared;the results showed that the time-varying relationships used in this study(i.e.,Cscontinuously increased and then remained stable,and Dfcontinuously decreased and then remained stable)were beneficial for the durability design of concrete structures in marine environment.

基于WIM数据的公路斜拉桥拉索疲劳可靠度评估

针对我国超重车辆荷载频发导致现行规范难以反映真实桥梁安全的问题,本文基于实测WIM数据构建了考虑冲击效应的车流荷载响应生成框架,采用复合极值理论外推随机车流响应,建立了一种考虑评估基准期影响的车辆荷载效应概率模型,提出了基于实测车流的斜拉索疲劳可靠度评估方法.以某双向六车道高速公路WIM系统为期三个月的实测数据为基础,对工程背景斜拉桥的拉索疲劳可靠度进行了评估,结果表明:在基于实测WIM数据外推的概率模型下,斜拉桥重载侧拉索的疲劳可靠指标在3.93~6.12之间,而其承载能力极限状态抗拉强度可靠指标在7.74~11.04之间;而采用规范荷载概率模型的疲劳可靠指标在4.35~6.18之间.对比说明:疲劳可靠度远低于抗拉强度可靠度,拉索评估基准期内的安全性主要受疲劳控制;相对基于实测WIM数据外推的评估基准期荷载,采用规范荷载会较明显地高估斜拉索的疲劳可靠度.

以实践为导向构建社区医务人员安宁疗护服务能力评价工具及信效度研究

背景我国安宁疗护服务已进入深度实践时期,许多城市将基层医疗卫生服务机构作为开展安宁疗护的首要场所。社区安宁疗护服务主要为全科团队式服务,但目前尚缺乏切实统一的社区安宁疗护服务人员相关能力考核标准与要求。目的结合社区安宁疗护服务实践,编制社区卫生服务中心医务人员安宁疗护服务能力评价工具,并对其信效度进行研究。方法于2022年6月—2023年3月,通过文献回顾、质性访谈、两轮德尔菲专家咨询进行条目分析,形成安宁疗护服务能力评价工具;于2023-04-01—2023-05-12对上海市浦东新区1281名社区卫生服务中心医务人员开展一般资料、对安宁疗护服务的认知和经历、安宁疗护服务能力评价工具和人文关怀能力量表的问卷调查,检验安宁疗护服务能力评价工具的信度、效度,并采用多元线性回归分析探讨安宁疗护服务能力的影响因素。结果通过文献检索分析和质性访谈形成49个初始条目。德尔菲专家咨询法共邀请上海市15名研究和开展安宁疗护服务的权威专家,其中专家权威系数为0.87,整体指标体系的Kendall和谐系数为0.624(P<0.01),经过两轮德尔菲专家咨询,最终形成具有50个条目的评价工具。问卷调查部分共发放1300份问卷,回收1284份,问卷回收率为98.77%(1284/1300)。安宁疗护服务能力评价工具标准化后的Cronbach'sα系数为0.993,Spearman-Brown折半信度为0.935,总体信度较好。效度检验显示,KMO值为0.987,Bartlett's球形检验值为119119.104,P<0.001,表明该量表效度良好,且适合因子分析。因子分析显示,所有条目的因子载荷系数≥0.4,共同度>0.2,因此保留50个条目。抽取4个公因子,累积方差贡献率为86.517%。相关分析显示,本次构建的安宁疗护服务能力评价工具的总得分和人文关怀量表总分呈显著正相关关系(r=0.819,P<0.001),说明该评价工具具有良好的校标关联效度。多元线性回归分析结果显示,性别、学历、从事社区工作年限、是否经历亲属离世、是否经历安宁疗护培训、安宁疗护服务工作时长、是否愿意从事安宁疗护服务工作是安宁疗护服务能力的影响因素(P<0.05)。结论本研究构建的社区卫生服务中心医务人员安宁疗护服务能力评价工具有较好的科学性和可靠性,信效度较好,可用于评价社区医务人员在安宁疗护服务中的各项能力。

支持IPv4/IPv6双栈的5G通信网络可靠性组网部署研究

5G网络要求更多的基站部署以支持更高的数据传输速率和连接密度。为实现网络数据的并行高速传输,确保网络应用业务的实时性和稳定性,文中提出一种支持IPv4/IPv6双栈的5G通信网络可靠性组网部署方法。结合IPv4和IPv6双栈,构建双栈转换机制结合有限双协议栈模型,在模型下构建5G通信网络结构,并通过高架立体交叉网优化IPv4/IPv6双栈的5G通信网络组网结构,提升IPv4/IPv6双栈5G通信网络的通信速度。采用冗余路径算法,实现5G网络IPv4/IPv6双栈通信中的服务功能链编排,解决IPv4/IPv6双栈通信中的冗余问题。实验结果表明,该方法能够构建一种更稳定、更高效的5G通信网络组网结构,提高了网络频谱效率,优化了网络环境。

Reliability evaluation of modular multilevel converter based on Markov model

The modular multilevel converter(MMC)is now the most attractive topology for medium and high voltage power conversion applications with several advantages over the traditional voltage source converter(VSC).However,due to a large number of sub-modules(SMs)in the MMC,system reliability is a big challenge in its practical application,where each SM may be considered as a potential point of failure.In this paper,a reliability evaluation based on the Markov model is proposed for the MMC.The failure rates of the power electronic devices and SMs are firstly analyzed.Then,the Markov model and the state transition equation of the system are built in detail.A general reliability evaluation function is established,in which the mean time to failure and reliability evaluation of the MMC with redundant SMs are also discussed.Finally,a practical direct current(DC)distribution example for reliability evaluation is analyzed,and the results verify that the reliability evaluation based on the Markov model could provide a useful reference for project design.

Reliability Analysis of Some Queueing Models with Reparable Service Station

In this paper, we give a reliability anlysis of some queueing modesl with reparable service station. By using the method of supplementary variable,we obtained some system characters and reliability indices of the service station.

An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT

Social Edge Service(SES)is an emerging mechanism in the Social Internet of Things(SIoT)orchestration for effective user-centric reliable communication and computation.The services are affected by active and/or passive attacks such as replay attacks,message tampering because of sharing the same spectrum,as well as inadequate trust measurement methods among intelligent devices(roadside units,mobile edge devices,servers)during computing and content-sharing.These issues lead to computation and communication overhead of servers and computation nodes.To address this issue,we propose the HybridgrAph-Deep-learning(HAD)approach in two stages for secure communication and computation.First,the Adaptive Trust Weight(ATW)model with relation-based feedback fusion analysis to estimate the fitness-priority of every node based on directed graph theory to detect malicious nodes and reduce computation and communication overhead.Second,a Quotient User-centric Coeval-Learning(QUCL)mechanism to formulate secure channel selection,and Nash equilibrium method for optimizing the communication to share data over edge devices.The simulation results confirm that our proposed approach has achieved effective communication and computation performance,and enhanced Social Edge Services(SES)reliability than state-of-the-art approaches.

导弹整机贮存寿命加速试验建模与评估技术

针对多失效模式、多失效机理、小子样导弹整机产品贮存寿命加速试验与评估面临的难题,提出整机贮存寿命加速试验建模方法,通过建立基于竞争失效的整机贮存寿命模型,综合考虑零部组件产品的贮存寿命信息,开展整机加速因子综合计算;提出基于试验长度因子的小子样整机贮存可靠度评估方法,通过加长试验时间达到利用小子样验证高贮存可靠度的目的。最后给出典型伺服机构加速试验案例分析,证明方法的有效性。该方法可为开展小子样整机产品贮存寿命加速试验与寿命评估提供一种新的技术途径。