基于投入产出模型的高校数字资源利用率研究

数据时代以及云时代的到来,给高校建立数字资源提供了条件,每个高校都相继建立起数字资源,有的高校是通过购买知网、万方等方式建立数字资源,有的高校是通过学院实际情况建立自己的数字资源。数字资源的建立需要耗费大量的人力、物力和财力。学校建立如此庞大的数字资源是基于投入和产出的原理,投入的精力要和产出的成正比,然而高校建立的数字资源利用率却不尽人意,提高数字资源的利用率是研究的重点,给出了提高数字资源利用率的方法,以期达到投入和产出成正比的目的。     

基于资源权重最大资源利用率的动态资源调度算法

对于在云环境下虚拟机放置问题,资源调度管理是其中一项关键技术,因而提出了一种基于最大综合利用率为标准的动态资源调度算法。首先,在云系统调度中心缓存用户的资源请求,将此请求当做一个任务,然后利用负载均衡调度算法,调度中心针对不同任务来分配适当的物理机,最后在物理机上建立虚拟等待队列,充分考虑云系统中计算资源权重比,利用基于权重最大资源利用率的算法进行虚拟机配置。仿真实验结果证明,该算法可以实现有效负载均衡,并在保证一定的QoS的情况下,能有效提高系统的综合利用率。     

大学生信息资源利用率调查研究

目前高校学生中普遍存在电子资源利用率低的现象。通过对某高校部分学生调查研究,深入分析了学生利用资源的相关情况。并针对调查中出现的问题,提出了提高电子资源利用率的措施。     

服务质量参数公式的选择对ATM网络资源利用率的影响

文中基于信元丢失率讨论了ＱＯＳ参数公式选择对ＡＴＭ网络资源利用率的影响,用对比的方法说明了在保证服务质量的前提下,选择优化的ＱＯＳ参数公式提高资源利用率的可行性;提出了乐观性资源分配策略避免了ＱＯＳ降级的建议,并展望了为提高资源利用率应作的ＱＯＳ研究工作。     

闭环Jackson网络的资源利用率分析方法及应用

排队网络是一种常见的对供应链、生产线以及交通系统等进行建模的工具, 可以被用来分析系统中各资源 的利用率, 并对系统结构的设计提供指导. 相比较于利用仿真进行分析, 排队网络可以更快速地得到系统的资源利 用率. 在实际中, 常用闭环Jackson网络来对顾客总数不变的封闭系统进行建模. 在本文中, 首先利用闭环Jackson网 络归一化参数的母函数, 得到了网络中各节点利用率的解析表达式. 通过对利用率解析表达式的分析, 给出了在顾 客总数趋于无穷时利用率的极限, 并证明了利用率是饱和函数. 在这些结论的基础上, 进一步计算不同服务时间下 达到饱和状态所需的顾客总数. 最后将该方法应用于一个实际的自动化码头例子, 将其建模为闭环Jackson网络, 分 析码头的瓶颈所在, 计算系统饱和点对应的车辆数, 并与仿真实验进行了对比.     

基于AHP的高校网站模糊综合评价

本文建立了我国高校网站评价的指标体系,并用指数标度的层次分析法确定评价指标的权重,并结合实际用模糊综合评价法研究了高校网站的评价问题.     

基于模糊AHP的大学课堂教学质量评价研究

为了对大学教师课堂教学质量进行有效的监督和管理,建立了现代信息技术环境下大学教师课堂教学质量评价指标体系,基于模糊综合评判法和层次分析法(AHP)建立了教师课堂教学质量评价模型,应用此模型实例分析某教师的课堂教学质量并提出相应的提升策略,提高了评价的科学性和实用性。     

100％资源利用率不是梦

数据中心的资源能100％地用起来吗？这看上去似乎是个梦想，不过，借助虚拟化技术，“物尽其用”并不遥远。     

WCDMA无线资源利用率分析

WCDMA网络承载语音和数据业务,通过无线资源利用率反映无线侧网络资源的有效利用情况。文中分析了与无线资源利用率相关的各种因素,提出有效提升网络无线资源利用率的手段,实现了用户感知和企业效益最大化的目标。     

基于OpenStack的高资源利用率Docker调度模型

在现有OpenStack云平台与Docker容器技术的集成方案中,基于容器初始资源请求的调度模型由于未充分考虑容器运行时的实际资源使用情况,导致资源利用率较低。为满足云计算领域的高资源利用率和低成本需求,构建基于OpenStack云平台的Docker调度模型（DSM）,将其与OpenStack的Keystone、Glance以及Neutron组件的API进行交互,获取创建容器所需的镜像、网络等资源,同时调用Docker Engine提供的API部署容器,对容器生命周期进行高效灵活管控。通过融合初始化模块、资源实时感知模块、容器调度模块、资源实时监测模块和容器迁移模块,并在容器调度模块中利用资源可用度评估与优先级决策调度机制为容器选择最优的计算节点,实现OpenStack云平台中资源的高效利用。实验结果表明,与经典Nova-Docker和Yun集成方案采用的调度模型相比,DSM调度模型在CPU和内存利用率上至少提升38.54、30.17个百分点和38.40、28.69个百分点。     

Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach

Evaluating teaching performance is a main means to improve teaching quality and can plays an important role in strengthening the management of higher education institutions. In this paper, we present a novel framework for teaching performance evaluation based on the combination of fuzzy AHP and fuzzy comprehensive evaluation method. Specifically, after determining the factors and sub-factors, the teaching performance index system was established. In the index system, the factor and sub-factor weights were then estimated by the extent analysis fuzzy AHP method. Employing the fuzzy AHP method in group decision-making can facilitate a consensus of decision-makers and reduce uncertainty. On the basis of the system, the fuzzy comprehensive evaluation method was employed to evaluate teaching performance. A case application was also used to illustrate the proposed framework. The application of this framework can make the evaluation results more scientific, accurate, and objective. It is expected that this work may serve as an assistance tool for managers of higher education institutions in improving the educational quality level.     

Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach

This study intends to use a combination of fuzzy Analytic Hierarchy Process (AHP) and fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL) method in human resource for science and technology (HRST). Specifically, this study first uses AHP to evaluate the weighting for each criterion and then use DEMATEL method to establish contextual relationships among those criteria. We find out Infrastructure might be more critical since it is a cause and will directly influence human resource for science and technology performance. For human resource for science and technology (HRST), improving Infrastructure might be a better choice for the long period of time. Moreover, Education, R&D Expenses and Immediate output are more important second-tier criteria than Value, Cooperation, Labor Market, Human Capital and Intermediate output. Therefore, the improvement should be started with Infrastructure, particularly on identification of the Education, R&D Expenses and Immediate output.     

用FoxPro实现层次模糊综合评判方法

本文把模糊综合评判方法与层次分析决策技术确定权重的数学模型相结合,提出了一种结合两者优点的＂层次模糊评判方法＂。使用该方法可对具有多因素,并且因素间还分有若干层次的复杂系统进行科学评判。该评判方法可用于人才、产品质量、生产方案、教学效果等各种综合评判领域,为决策者提供有用数据及决策依据。本文还介绍了如何在教学质量评判中用FoxPro来实现层次模糊评判方法。     

Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP

Failure mode and effects analysis (FMEA) is a widely used engineering technique for designing, identifying and eliminating known and/or potential failures, problems, errors and so on from system, design, process, and/or service before they reach the customer (Stamatis, 1995). In a typical FMEA, for each failure modes, three risk factors; severity (S), occurrence (O), and detectability (D) are evaluated and a risk priority number (RPN) is obtained by multiplying these factors. There are significant efforts which have been made in FMEA literature to overcome the shortcomings of the crisp RPN calculation. In this study a fuzzy approach, allowing experts to use linguistic variables for determining S, O, and D, is considered for FMEA by applying fuzzy ‘technique for order preference by similarity to ideal solution’ (TOPSIS) integrated with fuzzy ‘analytical hierarchy process’ (AHP). The hypothetical case study demonstrated the applicability of the model in FMEA under fuzzy environment.     

针对CDMA下行链路资源分配的优化算法

第三代移动通信系统中需要设计合理的突发数据准入控制算法,这对于有效利用宝贵的带宽资源以满足用户高速数据请求至关重要.对此该文在CDMA2000下行链路MAC层进行了探讨,提出了一种基于蚁群优化算法的方案,对突发的高速数据请求分配系统资源(即:信道).仿真采用事件驱动并考虑了软切换,与传统的基于"先到先服务"方案进行了对比,结果表明平均吞吐率,平均时延均有改善.     

A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry

Service sector is under pressure to deliver continuing performance and quality improvement while being customer-focused. In recent terms, there exists web based or electronic service quality (e-sq) concept. With the birth of electronic commerce, it has become important to be able to monitor and enhance e-sq. Therefore, this study will examine the e-sq concept and determine the key components of e-sq. The e-sq framework is employed by the aid of service quality (SERVQUAL) methodology as the theoretical instrument. Finally, proposed e-sq framework is illustrated with a web service performance example of healthcare sector in Turkey by using a combined multiple criteria decision making (MCDM) methodology containing fuzzy analytic hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS). The work presented in this paper shows the applicability of the e-sq framework in explaining the complexity of aspects observed in the implementation of healthcare services via internet.     

基于模糊聚类的模糊神经网络控制

对于复杂的非线性离散系统,提出将模糊聚类算法同神经网络相结合,使用衡量聚类有效性的S函数确定模糊规则数目,进而确定模糊神经网络的结构;控制器的设计应用LMI方法。以典型的非线性系统二级倒立摆为例,在Matlab中进行仿真实验,结果表明,基于聚类算法的神经网络控制能够在较大范围的初始状态下使系统获得稳定。     

基于AHP模糊综合评判相结合网上教学评估系统

为配合高校迎接教育部本科教学工作水平评估,针对教学评估的模糊性,实现了基于层次分析法和模糊综合评判相结合数学模型的网上教学质量评估系统。文中给出算法和系统的设计与实现,并介绍了相关开发技术。     

基于模糊综合评价构建物流运输预警模型

针对当前公路物流运输的安全问题,提出构建公路物流运输预警模型的思想。从人、车、道路、环境和运载物品5个方面对公路物流运输的影响进行了全面分析。通过层次分析法和专家打分法确定公路物流运输的安全预警指标及其权重。采用多层次模糊综合评价法选择合适的模糊算子构建公路物流运输预警模型。利用此模型可以计算公路物流运输的安全预警级别,给出相应的预警信息。实验表明,采用模糊综合评价法构建物流运输预警模型是可行的,能够实现对运输过程的预警。