网络安全产品研究

本文在研究了网络安全的国内外有关情况后对网络安全技术进行了探讨 ,介绍了一种简单而实用的网络安全产品 ,添补了这方面的空白 ,而且本文介绍的产品已经应用到了许多部门 ,为网络安全做出了贡献     

基于粗糙集的患者满意度评价模型及其实证分析

在文献阅读及实地调研的基础上,本文提出了患者满意度的定义,建立了影响患者满意度的指标体系,介绍了粗糙集的相关概念及利用粗糙集进行评价的步骤,提出了新的约简方法,构建了基于粗糙集的患者满意度评价模型并进行了实证分析,得出了影响患者满意度的关键指标,并计算了关键指标权重,对江西省十个医院进行了综合评价值的计算.     

一个函数不等式的加强与延伸

从一个常见的不等式谈起,分析了多种证明方法,运用该不等式推导出了多个重要结论,对不等式进行了扩充和加强,解释了蕴含的意义,显示了该不等式的重要性和深刻性.     

交通运输系统协调发展理论与模型研究

提出了交通运输系统协调度的评价分析模型.从系统论的观点出发,提出了交通运输系统协调理论的概念,探讨了交通运输系统随时间而不断演化变迁的规律,给出了交通运输系统协调发展基本步骤;并根据协调学原理,讨论了交通运输系统的协调性问题,提出了系统协调发展模型,对交通运输子系统内部及子系统之间及系统整体的协调发展问题进行了研究,探讨了交通运输可持续发展的系统协调管理过程,为进一步研究交通运输系统的可持续发展奠定了基础.     

关于举办2012年中学生数学奥林匹克夏令营活动的启事

从1996年至今,华中师范大学数学与统计学学院已成功举办多届全国中学生数学奥林匹克夏令营活动,培养了大批优秀的数学竞赛选手,他们经过权威名师的指点,既丰富了理论知识,更掌握了实践经验,为走上成功明确了航向,在国内、国际数学竞赛中取得了令人瞩目的成绩。我院已成为全国数学奥林匹克活动的重要培训基地,吸引了众多优秀中学生云集武汉参     

系统动力学在城市污水再生回用系统中的应用

用系统动力学方法研究了城市污水回用系统.首先分析了影响城市污水回用系统的诸多因素以及它们之间的相互关系,探讨了污水再生回用系统行为和结构的特点,确定了系统中因素之间的定量关系,建立了城市污水回用系统动力学(SD)模型,并介绍了模型的检验方法.同时给出了SD模型的具体应用实例,对西北地区的某一城市的污水回用进行了预测和分析,提出了符合该城市发展的污水回用方案.     

基于干扰管理理论的航空备件模型参量扰动性分析

概述了干扰管理理论的内涵、意义以及目标,依据未来不确定因素引起飞机备件需求量变化以及备件供应时限性增强的实际情况,创建了时限一致度算子,优化了备件需求泊松分布模型,提高了备件供应的精确度,并选取了优化后的模型中的多个参量,进行了多因素的扰动性分析,最后构造了算例,验证了本方法的科学性和有效性.     

压板松动时大型发电机端部绕组的主共振与分岔

研究了大型汽轮发电机定子端部固定绕组的压板松动时,位于两侧压板间某段绕组的振动问题．首先,采用分离变量法,给出了发电机运行时定子端部绕组区域的磁感应强度表达式,并给出了绕组所受电磁力及与松动压板间摩擦力的计算式．其次,建立了研究绕组非线性振动问题的力学分析模型,采用多尺度法对主共振情形进行了解析求解,推得了稳态运动下的幅频响应方程,并对定常解的稳定性及分岔奇异性进行了研究,得到了稳定性的判定条件及分岔方程的转迁集．最后,针对工程实际问题进行了计算,给出了相应的幅频响应曲线图,并进行了分析讨论．     

分层教学的Bayes分析

对学校分层教学进行了初步探索 ,提出了分层分班的 Bayes决策 ,介绍了分层分班方法 ,获得了一些结论 ,并完成了对这些结论的证明 ,从理论上论述了分层教学是实施“因材施教”教育原则和素质教育的有效途径 ,给出了应用实例 .     

红树林自然保护区湿地生态系统的数学模型及其应用

研究了红树林自然保护区自然环境和人类社会活动对于生态系统的影响,考虑了生物之间的相互关系,将生物量、生物生长的面积等作为主要指标,建立了常微分方程组模型,对生态系统的变化情况进行了描述,借助稳定性分析对方程进行了研究,并进行了数值模拟。根据理论分析和数值模拟的结果,对保护区的林木恢复工作提出了合理的建议。     

考虑招标人收益的工程招投标博弈分析

传统的投标博弈来源于拍卖模型,只有投标人参与,没有招标人参与,而实际上,现代评标方法的多样性决定了招标人在招投标博弈中的重要性,文章在对招投标博弈与拍卖博弈进行比较分析后,构建了包括招投标多方、招标人对收益具有风险偏好且类型未知的非完全信息静态博弈,比以往的单纯用投标人的成本作为整个模型的参数更加具有合理性.最后给出博弈的均衡解以及数值计算,同时为招投标双方的决策给出理论分析与现实意义.     

An ANP- and AHP-based approach for weighting criteria in public works bidding

When the bidding conditions for a new public works contract are officiallypublished, the contracting authority should count with objective criteria andweights to evaluate tenders. The evaluation criteria and weights are obtainedfrom official contract documents. In this paper a new approach for the selectionand measurement of the bidding criteria based on Analytic Hierarchy Processes(AHP) and Analytic Network Processes (ANP) is proposed. A hierarchy model and a21-criterion network model have been developed and applied to two real cases:the first one is devoted to study the public bidding for the construction of aneducational centre at the Polytechnic University of Valencia, whereas the secondone analyses the public bidding for the remodelling and improvement of onesection of a national road.     

基于Vague集的建设项目综合评标

把Vague集应用于建设项目评标,从正向、反向和不确定多个方面描述投标文件的信息,为招标人客观评价和选择投标人提供了更充分的依据,应用综合评价值对投标人进行排序,从而选出最优投标人,使评标工作更加趋于全面、快捷,实例说明该方法的有效性.     

考虑交易费用的一级价格密封招标研究

本文在独立私人价值模型的基础上,通过引入投标成本,建立了考虑交易费用的一级价格密封招标博弈模型,给出了对称的进入点均衡和相应的对称均衡报价策略。研究表明,交易费用的出现排除了高成本类型的投标者,但也导致了竞标人数的不确定性,招标方为了降低招标无效率的可能性,必须限制潜在投标者人数;另一方面,在招投标过程中降低交易费用对交易双方来说都是有利的,招标方给予投标者投标补偿以激励其参与竞标的机制是可行的。     

偏联系数在投标企业发展趋势分析中的应用

客观事物处在不断的发展之中.工程项目的招标决策,既要考虑投标企业综合施工实力的已有业绩,更要考虑这种业绩的发展趋势,为此把集对分析偏联系数用于投标企业发展趋势的分析,以便从发展的角度作出科学的工程招标决策.     

Neuro-fuzzy approach for short-term electricity price forecasting developed MATLAB-based software

Bid and offer competition is a main transaction approach in deregulated electricity markets. Locational marginal prices (LMP) resulting from bidding competition determine electricity prices at a node or in an area. The LMP exhibits important information for market participants to develop their bidding strategies. Moreover, LMP is also a vital indicator for a Security Coordinator to perform market redispatch for congestion management. This paper presents a method using modular feed forward neural networks (FFNN) and fuzzy inference system (FIS) for forecasting LMPs. FFNN is used to forecast the electricity prices in a short time horizon and FIS to forecast the prices of special days. FFNN system includes an autocorrelation method for selecting parameters and methods for data preprocessing and preparing historical data to train the artificial neural network (ANN). In this paper, the historical LMPs of Pennsylvania, New Jersey, and Maryland (PJM) market are used to test the proposed method. It is found that the proposed neuro-fuzzy method is capable of forecasting LMP values efficiently. In addition, MATLAB-based software is designed to test and use the proposed model in different markets and environments. This is an efficient tool to study and model power markets for price forecasting. It is included with a database management system, data classifier, input variable selection, FFNN and FIS configuration and report generator in custom formats.     

Optimum Bid Estimation on Fixed Cost Contracts

The paper presents a competitive bidding model which can be readily implemented in a competitive bidding environment within the construction industry. A method of obtaining a fast and accurate approximation of the optimum bid for a class of bidding problems is developed. The Newton Approximation Method is employed in approximating the root of an equation which maximizes the expected monetary value of a contract. A bidding chart and an example application of the technique are presented.     

A Stochastic Model for Bidding

Competitive bidding situations involve considering a multiplicity of factors. Organizations must be able to weigh the relative probability of potential projects based on resource usage, project duration and competitor actions to decide which of many possible bids to submit. A bidding strategy designed to maximize expected long run return is crucial, since an organization can usually submit only one bid per project.This paper presents a family of stochastic dynamic programming models considering different bidding situations. Several projects, each with several potential bids, are available for each situation. The objective is to determine what bidding strategy will maximize expected returns. Models are developed for two principle bidding situations: sequential, where projects are bid individually; and simultaneous, where several projects are bid at one time. Next, the effects of over- or under-commitment of resources are incorporated into the models. Finally, changes in project timing and the resultant effects on bidding strategy are included.A numerical example traces the changes in bidding strategy which occur as the models are expanded. The general formulation of bidding problems is also discussed, including changing the bid success probabilities due to competitor actions, the possibility of crashing projects and alternate methods of performing projects.     

城市再生水BOT项目特许经营权竞标机制设计

本文研究了城市再生水BOT项目特许经营权竞标机制设计问题.运用激励机制设计思想建立了满足个体理性和激励相容约束的拍卖模型,并通过求解此模型得到了最优的拍卖机制.最优拍卖机制不仅能诱导企业真实地披露自己的成本类型,还能提高政府对社会资源的配置效率.     

基于模糊认知图的航天商业发射服务竞价影响因素分析

影响航天商业发射服务市场竞价的因素相互关联。根据航天商业市场竞价特点及影响因素的划分原则,将航天商业发射服务市场竞价影响因素分为宏观环境、成本、市场需求、竞争需求、品牌因素。运用模糊认知图对各影响因素进行推理分析,并借助灰关联计算各影响因素与竞价的关联度,判断影响竞价的重要因素,以作为航天企业决策依据。