微电子产业流程再造决策支持系统软件设计

文章针对微电子企业产业流程的特点，在分析企业流程再造的基础上，提出了微电子产业流程再造决策支持系统的方法。在此基础上，根据多家微电子企业产业流程设计了系统软件，该系统软件采用C／S结构；在核心竞争力评价和流程的评估方面应用了多种评估指标，为流程的决策提供了依据。     

一种基于工作流的软件可靠性评估方法

随着工作流系统在企业运营中担负越来越重要的角色,工作流可靠性研究的重要性也日渐增加。文中提出了一套完整的工作流系统可靠性评估方法,帮助企业检验工作流系统的可靠性。首先,文中对工作流系统的体系结构进行分析,其中重点分析了工作流系统的流程及活动模式,提出一个以流程为基础的工作流可靠性评估方法。文中采用基于马尔可夫链的流程可靠性算法,将活动中的可靠性数据整合,计算流程的可靠性数据。在此基础上,基于Additive模型,根据流程的使用率将多流程的可靠性信息进行整合,最后求出工作流系统的可靠性数据。根据该方法,设计并实现了工作流系统可靠性评估软件,并通过在。 NET工作流平台上的实验,验证了该方法的可靠性预测效果是令人满意的。     

一个CMM自评估系统的研究与开发

CMM评估是当前组织进行软件过程改进的主要方法。文章介绍了“CMM自评估系统”的设计思想和实现方法,其中包括系统的结构、主要功能设计、评估的方式和流程等。该系统在实际工作中提高了效率,为软件企业考察组织现状提供了依据。     

元数据驱动的数据质量评估体系架构研究

到目前为止,国际上既没有形成系统化的数据质量评估标准,也没有建立完整的数据质量评估体系。通过对国际和国内数据质量相关内容的研究,分析了大型企业对数据质量的需求,提出了一个数据质量元模型框架结构,构建了数据质量评估体系。该体系包括数据质量的分类和定义、数据质量评估指标算法和数据质量评估体系及流程,为企业对数据质量进行评估提供了可靠的依据。     

企业专利资源管理流程本体建模研究

针对企业专利资源管理流程中语义一致性和自动化程度不高的问题,将语义本体引入到专利管理工作流的描述中。利用IDEF5图表语言构建了企业专利资源管理流程本体,在此基础上实现了对企业专利价值评估流程的可视化描述,并结合OWL语言对流程本体进行了形式化定义,该方法提供了对相关术语和词汇的共同一致的理解,可增强流程知识的语义互操作、重用和共享,从而提高企业专利资源管理的效率。     

案例推理技术在企业资信评估中的应用

针对企业资信评估活动的特点,提出一套基于案例的资信评估方法及实现技术,为企业资信评估提供一个有效的支撑环境.基本方法是:以加权计分法为思想,定量部分运用规则计算,定性指标采用CBR进行分析,搜索出案例库中匹配的成功案例,辅助决策者快速准确地得出结论.首先阐述企业资信评估的内容和指标体系,接着提出基于CBR的资信评估系统的总体结构和工作流程,并对案例库子系统的实现技术进行了探讨.理论分析和实践表明,该系统可以克服传统评估方法的主观性和复杂性,是一种有效、可行的新方法.     

复杂电磁环境下航空兵训练评估系统研究

研究了复杂电磁环境下航空兵训练评估系统的关键技术,分析和论证了评估系统的需求和体系结构。在此基础上,对系统所采用的评估指标体系及其中的关键算法进行阐述,给出了运用评估指标体系进行效能评估的流程。对原型系统架构进行描述,对其中使用的平台与插件技术进行说明;给出了该系统的实现效果及分析结论。     

案例推理技术在企业资信评估中的应用

针对企业资信评估活动的特点，提出一套基于案例的资信评估方法及实现技术，为企业资信评估提供一个有效的支撑环境。基本方法是：以加权计分法为思想，定量部分运用规则计算，定性指标采用CBR进行分析，搜索出案例库中匹配的成功案例，辅助决策者快速准确地得出结论。首先阐述企业资信评估的内容和指标体系，接着提出基于CBR的资信评估系统的总体结构和工作流程，并对案例库子系统的实现技术进行了探讨。理论分析和实践表明，该系统可以克服传统评估方法的主观性和复杂性，是一种有效、可行的新方法。     

供应链流程绩效评估模型及其系统实现

提出一种基于流程分解的供应链流程绩效评估模型。该模型在流程分解的基础上,从质量、时间、成本、协同性和资产利用5个维度出发,对供应链业务流程进行绩效评估。基于该模型设计开发供应链绩效评估系统,通过某航运公司的集装箱航运供应链流程实例验证该模型的可行性。     

消费品质量安全影响因子评估系统设计与实现

主要研究了消费品质量安全影响因子评估系统的设计与实现。首先分析了消费品质量安全影响因子评估工作流程,从而确定了系统的功能需求。然后通过用例分析、静态行为建模、动态行为建模等UML分析工具对评估系统进行了功能设计和数据库设计。最后选取了VisualStudio开发平台根据三层架构理论对该系统进行了实现。该系统适用于所有消费品质量安全影响因子评估工作。     

一种有效的风险评估模型、算法及流程

风险评估作为信息安全管理流程中最关键的步骤之一，需要一套科学的模型来保证其有效实施。研究和制定风险评估的模型、算法和流程成为当前研究的热点问题。该文依据ISO/IEC通用标准及一些商用标准，提出了一种较为科学且行之有效的风险评估模型和算法，并且描述了风险评估的流程，对组织自评估有很好的参考意义。     

TAPISTRY—A Software Process Improvement Approach Tailored for Small Enterprises

TAPISTRY is a tutored process improvement approach tailored for small enterprises. The approach was developed, used and validated in an ongoing ESSI Esprit project (No 24238), called “TAPISTRY.” The TAPISTRY project adopted a downscaled assessment model of the BOOTSTRAP assessment methodology, called BootCheck, and developed a workshop-based assessment and improvement method, to form together a process improvement approach for small-to-medium-sized enterprises. In TAPISTRY workshops the participants are tutored in self-assessment and improvement planning by software process improvement experts. The resulting TAPISTRY approach was validated through the experiments performed during the TAPISTRY project. This revised version was published online in August 2006 with corrections to the Cover Date.     

An adaptive testing system for supporting versatile educational assessment

With the rapid growth of computer and mobile technology, it is a challenge to integrate computer based test (CBT) with mobile learning (m-learning) especially for formative assessment and self-assessment. In terms of self-assessment, computer adaptive test (CAT) is a proper way to enable students to evaluate themselves. In CAT, students are assessed through a process that uses item response theory (IRT), a well-founded psychometric theory. Furthermore, a large item bank is indispensable to a test, but when a CAT system has a large item bank, the test item selection of IRT becomes more tedious. Besides the large item bank, item exposure mechanism is also essential to a testing system. However, IRT all lack the above-mentioned points. These reasons have motivated the authors to carry out this study. This paper describes a design issue aimed at the development and implementation of an adaptive testing system. The system can support several assessment functions and different devices. Moreover, the researchers apply a novel approach, particle swarm optimization (PSO) to alleviate the computational complexity and resolve the problem of item exposure. Throughout the development of the system, a formative evaluation was embedded into an integral part of the design methodology that was used for improving the system. After the system was formally released onto the web, some questionnaires and experiments were conducted to evaluate the usability, precision, and efficiency of the system. The results of these evaluations indicated that the system provides an adaptive testing for different devices and supports versatile assessment functions. Moreover, the system can estimate students’ ability reliably and validly and conduct an adaptive test efficiently. Furthermore, the computational complexity of the system was alleviated by the PSO approach. By the approach, the test item selection procedure becomes efficient and the average best fitness values are very close to the optimal solutions.     

Risk assessment model of mining equipment failure based on fuzzy logic

The systematic maintenance of mining machinery and equipment is the crucial factor for the proper functioning of a mine without production process interruption. For high-quality maintenance of the technical systems in mining, it is necessary to conduct a thorough analysis of machinery and accompanying elements in order to determine the critical elements in the system which are prone to failures. The risk assessment of the failures of system parts leads to obtaining precise indicators of failures which are also excellent guidelines for maintenance services. This paper presents a model of the risk assessment of technical systems failure based on the fuzzy sets theory, fuzzy logic and min–max composition. The risk indicators, severity, occurrence and detectability are analyzed. The risk indicators are given as linguistic variables. The model presented was applied for assessing the risk level of belt conveyor elements failure which works in severe conditions in a coal mine. Moreover, this paper shows the advantages of this model when compared to a standard procedure of RPN calculating – in the FMEA method of risk assessment.     

基于大数据挖掘的电网企业风险防控体系研究与应用

随着电力体制改革的深入推进,售电侧产业格局正在发生根本性的改变,电网企业面临竞争与冲击已是不争的事实。为保证各级电网企业在新形式下的良好发展,提高市场竞争力,降低风险,迫切需要深化和完善目前的风险防控体系。本文结合电网企业应用实际,提出以大数据挖掘为技术手段,发掘各项指标间潜在的关联关系,据此建立风险防控体系。通过指标异动预判其关联指标的变化趋势,发现潜在风险、定位管理漏洞,使风险在异动发生前被干预处理,从而为企业辅助决策提供有效手段。文章使用相关分析、回归分析等数据挖掘分析技术对方案的正确性进行了验证,目前,此方案已在相关电网企业获得试点,并取得显著成效。此外,本文在挖掘指标关联关系、发现潜在风险、定位管理漏洞等方面进行了全新探索,得到一些有益的启示,可供相关电网企业参考与借鉴。     

基于BP神经网络的虚拟企业风险评价研究

虚拟企业是21世纪企业的潜在发展模式,虚拟企业在帮助企业获得反应灵活性的同时,也不可避免地蕴涵了诸多的风险因素.在研究阐述风险管理理论的基础上.全面考察影响虚拟企业整体风险水平的各种因素,针对目前风险研究不足的现状,根据虚拟企业的特点,构造了虚拟企业风险评价指标体系,提出了一种基于BP神经网络的虚拟企业风险评判方法,通过MATLAB神经网络工具对其进行仿真计算,并给出了一个实例来验证模型的可靠性,实例研究表明该方法为虚拟企业风险评价提供了一种有效的管理工具.     

Online self-assessment and students' success in higher education institutions

This paper validates effects of online self-assessment tests as a formative assessment strategy in one of the first year undergraduate courses. Achieved students' results such as test scores and pass rates are compared for three different generations for the same course but also judged against the exam results of other courses taught in the same semester. The analysis points out that there is a statistically significant difference between the groups for half-semester tests and exam pass rates after online self-assessment tests were introduced. Positive effects on students' success are approximated for the overall institution using a simulation model. Results point out that a small increase in pass rates could significantly impact the overall success i.e. decrease of dropout rates.     

软件开发中的风险评估及其实践

在软件项目的开发过程中,准确地识别项目中存在的风险、对风险加以分析并采取有效的预防措施是保证项目成功的关键因素之一。风险评估是软件开发风险管理的重要组成部分,目前已经发展成为软件项目开发与控制的常用管理方法。文章叙述了Boehm关于风险评估的经典理论、SEI基于问卷调查的风险评估法、基于成本估算的风险评估法以及该领域的其它最新研究进展。最后对软件开发风险评估方法的发展方向提出了自己的观点。     

Determination of Loan Interest Rate Considering Bankruptcy and Mortgage Collection Costs

Particularly in Japan, risk management relating to bankruptcy of financed enterprises has become very important to a bank after the collapse of a bubble economy. To obtain suitable revenues, a bank has to apply high interest rates to the enterprises with high risk. When enterprises which have made a secure loan from a bank go bankrupt, a bank forecloses such enterprises from its mortgage to recover the loss incurred. However, in actual circumstances, it may need much cost and effort to do so in Japan. This paper proposes a stochastic model to determine an adequate interest rate, taking account of the probabilities of bankruptcy and mortgage collection, and their costs. Numerical examples are given to illustrate this model and a loan interest rate is determined.     

基于模糊数相似度的审判风险评估系统

随着审判管理日趋精细化,法院对审判风险精准化评估的需求逐渐增多,其中,如何有效进行审判风险等级定量分析是精准化风险评估的核心问题。现有的机器学习、风险矩阵等方法由于存在历史数据有限、审判风险评估精度要求高等不足,难以有效地应用于实际审判业务中。针对此问题,构建了基于模糊数相似度的审判风险评估模型,实现了多因素审判风险的定量评估。首先针对审判风险指标进行辨识,建立了基于AHP的多层级风险指标模型,以提升审判风险的分析粒度和评价客观性;然后,为了获取模糊风险测度,设计了基于混合输入的风险聚合模型,该模型应用流程信息来提高评估准确性,实现了审判风险指标的分类聚合;最后,构建了基于相似度算法的风险等级确定模型,该模型能够有效排除人为因素和异常数据的干扰,实现了审判风险等级的精准度量。基于审判风险评估模型,设计并实现了相应的评估系统,该评估系统包括风险计算、风险管理和风险预警模块,通过在实际法院管理系统中进行集成和应用,该评估系统有效优化了目前局限于审限预警的审判风险管理模式,进一步提高了审判管理的精细化程度。