一种隐私的角色认证方法

给出一种新的兼顾隐私保护的角色认证方洗该方法认证具有普遍意义的主体角色,既满足认证需求又保护用户身份隐私,还方便对主体进行角色授权.方法内嵌的用户身份标识具有随机性和唯一性,能唯一地确定角色拥有者.服务方不能统计或链接该标识以推测用户行为或揭露用户真实身份.对方法的相关分析表明,该方法兼顾认证及隐私需求,且实现流程简易,计算效率高,便于应用部署.     

基于DSA的一次性有限授权密码机制

提出一种基于数字签名算法(DSA)的一次性有限授权密码机制。在该机制下,密码拥有者可以在不泄露密码、不访问系统的情况下赋予其他用户临时访问系统的权利,并对访问过程的时间长度和次数具有高度自由的分配和监控能力。该机制在求解离散对数困难性的基础上生成安全性较高的有限授权密码,能有效地防止授权密码被伪造和重复使用,具有较强的实用价值。     

基于最大隶属度的区间概率灰色随机多准则决策方法

定义了一种灰色隶属函数.针对概率为区间数、准则值为区间灰数的灰色随机多准则决策问题,提出一种基于最大隶属度的决策方法.首先,运用区间数可能度排序向量将区间概率转化为点概率,并将其转化为无风险决策问题;然后,计算各方案在负理想方案到正理想方案上的灰色隶属度,并计算各方案准则值的相对灰度,进而根据灰色隶属度和相对灰度大小对方案进行排序;最后,通过算例验证了该方法的可行性和有效性.     

一种基于案例属性特征的区间相似度改进算法研究

基于案例推理的关键是确定问题案例与案例库中的案例属性特征的相似度,针对相似度的算法问题,在分析比较多种已有算法的基础上,提出了一种解决感知信息和案例库中的案例属性特征均为不确定或者不完整信息的区间相似度计算模型,论证了该模型的计算结果适用于特定区间内微小区间相似的问题。结合某型艇抗沉辅助决策系统的预案推理问题,对已有的算法求解结果进行比较,证实了该模型提高了案例相似度计算结果灵敏度。     

Selection of industrial robots using compromise ranking and outranking methods

Selection of a robot for a specific industrial application is one of the most challenging problems in real time manufacturing environment. It has become more and more complicated due to increase in complexity, advanced features and facilities that are continuously being incorporated into the robots by different manufacturers. At present, different types of industrial robots with diverse capabilities, features, facilities and specifications are available in the market. Manufacturing environment, product design, production system and cost involved are some of the most influencing factors that directly affect the robot selection decision. The decision maker needs to identify and select the best suited robot in order to achieve the desired output with minimum cost and specific application ability. This paper attempts to solve the robot selection problem using two most appropriate multi-criteria decision-making (MCDM) methods and compares their relative performance for a given industrial application. The first MCDM approach is ‘VIsekriterijumsko KOmpromisno Rangiranje’ (VIKOR), a compromise ranking method and the other one is ‘ELimination and Et Choice Translating REality’ (ELECTRE), an outranking method. Two real time examples are cited in order to demonstrate and validate the applicability and potentiality of both these MCDM methods. It is observed that the relative rankings of the alternative robots as obtained using these two MCDM methods match quite well with those as derived by the past researchers.     

A multi-granular linguistic model for management decision-making in performance appraisal

The performance appraisal is a relevant process to keep and improve the competitiveness of companies in nowadays. In spite of this relevance, the current performance appraisal models are not sufficiently well-defined either designed for the evaluation framework in which they are defined. This paper proposes a performance appraisal model where the assessments are modelled by means of linguistic information provided by different sets of reviewers in order to manage the uncertainty and subjectivity of such assessments. Therefore, the reviewers could express their assessments in different linguistic scales according to their knowledge about the evaluated employees, defining a multi-granular linguistic evaluation framework. Additionally, the proposed model will manage the multi-granular linguistic labels provided by appraisers in order to compute collective assessments about the employees that will be used by the management team to make the final decision about them.     

过程级动态划分的RSoC软硬件双通信模式

软硬件通信模式的选择对软硬件通信效率产生很大影响.根据硬件函数的特点,提出一种根据软硬件通信量自适应地选择通信模式的软硬件双通信模式,并构建了一种通信模式自适应决策算法,软硬件通信模式的选择对用户透明.实验表明,根据运行时系统状态自适应地选择通信模式,软硬件通信效率得到优化,面积开销也适当减少.     

基于过滤驱动的键盘鼠标插入授权系统

为保证ATM的信息安全,分析Windows上键盘和鼠标设备驱动的工作原理,设计并实现基于过滤驱动的键盘鼠标插入事件授权系统。该授权系统能准确捕捉USB和PS/2接口的键盘鼠标设备的插拔事件,保证新插入的设备在系统授权前处于禁用状态。测试结果表明,系统能在Windows XP和Windows 7操作系统上高效稳定地运行。     

网格访问控制与授权模型的设计与实现

访问控制和资源授权是网格系统中资源与用户的关系策略的集合,分析了访问控制与资源授权的设计原则,提出了一种基于禁止表和允许表的网格用户访问控制层次式AB4L访问控制模型.给出了该模型的形式化定义,叙述了基于Postgres数据库的资源访问控制模型和授权的实现方法,并从完备性、可扩展性、自主控制和安全性方面对该模型进行了性...     

An interactive meta-goal programming-based decision analysis methodology to support collaborative manufacturing

Small and Medium Manufacturing Enterprises (SMMEs) show increasing interest in collaborative manufacturing. Since, collaborative manufacturing enables SMMEs to collaboratively, deliver total solutions to globally distributed customers in a highly competitive manner. Engaging in collaborative manufacturing however has been identified as a challenging task for most SMMEs. The complexity of the collaborative decision-making processes impels that challenge to the SMMEs. Thus the focus of this paper is to propose an Interactive Meta-Goal Programming (IMGP)-based decision analysis methodology to help SMMEs overcome this challenge. A major contribution is the improvement of the interaction interface between decision-makers and a Goal Programming decision model. Our methodology enables every functional entity involved in a collaborative manufacturing decision problem to individually analyse and propose its uniquely desired local goals for the concerned decision, and facilitates the application of different prioritised goal clustering schemes to all proposed goals in order to accurately convey the decision-makers’ preferences. Thirdly, meta-goals are used to manipulate the degree of attainment for the prioritised goals. A hypothetical example is provided to illustrate the application of this methodology.