基于Web平台的高职院校顶岗实习管理评价体系研究

以就业为导向、面向市场办学是职业教育的特点,顶岗实习是高职工学结合的最佳途径,顶岗实习效果直接影响到人才培养质量。为进一步规范顶岗实习管理,加强顶岗实习执行力度,结合高职院校顶岗实习工作,开发学生顶岗实习动态管理系统,有助于顶岗实习的管理和人才培养质量。使用Web技术实现与其他管理系统的数据共享,使用多项重要技术对系统进行优化,实现数据精确化、管理高效化、沟通便捷化。

Web of Knowledge在医学信息分析评价研究中的应用

开展医学信息分析评价研究除了需要文献计量学理论基础和一定研究方法外,还需要有效的工具软件加以辅助。美国科学信息研究所推出的检索系统Web of Knowledge3.0提供具有引文分析功能的Results Analysis与Citation Report,帮助用户对检索结果进行分析与评价。本文阐述如何利用这些工具开展医学信息研究和分析评价工作。

优度评价法及其Web专家评价模型设计与研究

文章提出的基于模糊综合评判理论和可拓学的优度评价法引入了变量“Λ”来描述非满足不可的条件,并用关联函数、规范合格度等指标实现了实数定量评价,提高了评价的准确性和可信度,适合专家组式的综合评价。最后,给出了一个相应的Web专家评价模型,并以服装创意设计的评价为例加以验证。

Web服务QoS灰色评价模型

在分析国内外Web服务QoS定量评价的研究成果和不足之处的基础上,提出了基于灰色系统理论的Web服务QoS定量评价模型,即筛选Web服务QoS评价因子,确定因子权重集,计算各因子与参考基准的灰色关联度;通过应用从QWS数据集中提取的6个世界权威气象机构的气象信息Web服务,得出7个Web服务QoS的实际评价结果,并与其它评价方法进行比较;指出了进一步研究的方向。研究结果表明,该模型符合灰色系统理论的应用特点和Web服务应用的发展方向,作为Web服务选择时不同Web服务质量比选的定量评价工具,为Web服务的可信应用和电子商务的发展奠定了基础。

利用模糊免疫网络记忆分类器的Web服务Qos评价

根据用户对利用模糊免疫网络记忆分类器的Web服务Qos评价模型提出的功能需求、应用的领域及Qos约束,自动选择出能够反映该功能服务质量属性的评价因子。提出新的人工免疫分类算法—FAINMC,利用该算法对大量的Web服务实现准确、高效的分类。根据每类记忆细胞反应的特征得到和类型相对应服务等级,使用模糊隶属度和百分法得到了反应Web服务质量优劣评价值。

应用组内互评WEB系统改善实验教学中小组学习效果的实践研究

近年来,随着小组学习在教学中的广泛应用,形式化与低效等问题开始凸显出来,因而如何有效地解决这些问题也就受到了越来越多的教师和研究者的重视。三轮教学实践后的问卷调查、考勤数据与成绩分析表明组内互评WEB系统是一种可以改善小组实验教学效果、提高学生学习效率的有效途径。

基于Web of Science的理科学者h指数实证研究

通过ESI中科学家的Citations排序和CPP排序取交集选出数学、物理、化学、生物、地球科学5个理科学科代表性学者,基于Web of Science(WoS)查出这些学者的累积被引篇数P、被引次数C、篇均被引次数CPP和h指数。分析表明被引篇数P和被引次数C与h指数都有一定相关性;计算表明所有理科学者的h指数落在Hirsch公式和Egghe-Rousseau公式估计值之间,Egghe-Rousseau公式估计值、Hirsch公式估计值和真实h指数之间存在Pearson相关性。

利用新的模糊免疫分类器的评价模型设计

随着Web服务数量的增加,根据Web服务的多维Qos属性度量Web服务质量成为研究热点之一。提出了一种利用模糊免疫网络记忆分类器的Web服务Qos评价。在该评价中首先结合SOA中Web服务描述给出了Web服务QoS评价模型。然后提出了一种新的人工免疫分类算法——FAINMC,利用该算法利用该算法对大量的Web服务实现准确、高效的分类。通过每类记忆细胞反应的特征得到相对应服务等级,最后使用模糊隶属度和百分法得到了反应Web服务质量优劣评价值。通过原型系统对模拟Web服务属性数据进行测试,表明该方法优选出QoS值尽可能大,QoS向量分量的特征分量一致性好的Web服务。

QoS Evaluation for Web Service Recommendation

Web service recommendation is one of the most important fi elds of research in the area of service computing. The two core problems of Web service recommendation are the prediction of unknown Qo S property values and the evaluation of overall Qo S according to user preferences. Aiming to address these two problems and their current challenges, we propose two efficient approaches to solve these problems. First, unknown Qo S property values were predicted by modeling the high-dimensional Qo S data as tensors, by utilizing an important tensor operation, i.e., tensor composition, to predict these Qo S values. Our method, which considers all Qo S dimensions integrally and uniformly, allows us to predict multi-dimensional Qo S values accurately and easily. Second, the overall Qo S was evaluated by proposing an efficient user preference learning method, which learns user preferences based on users' ratings history data, allowing us to obtain user preferences quantifiably and accurately. By solving these two core problems, it became possible to compute a realistic value for the overall Qo S. The experimental results showed our proposed methods to be more efficient than existing methods.

Interactive Web service choice-making based on extended QoS model

Quality of Service (QoS) is a key factor in Web service advertising, choosing and runtime monitoring. Web service QoS is multi-faceted, fuzzy and dynamic. Current researches focus on implementation level performance assurance, ignoring domain specific or application level metrics which are also very important to service users. Industry Web service standards lack QoS expression. The support for QoS based service choice-making is very limited. We proposed an extended Web service QoS model based on configurable fuzzy synthetic evaluation system. Web service QoS is evaluated dynamically according to the service context. A QoS requirement description model is also given for service QoS requirement definition. An interactive Web service choice-making process is described, which takes QoS as a key factor when choosing from functionally equivalent services.

产品方案设计与评价一体化系统集成技术

本文采用J2EE平台技术,实现了基于Web的设计评价一体化系统。管理员可通过Web添加任意层次的评价指标和待评价的设计方案,采用VRML显示待评价的三维设计方案,专家可在线修改设计方案并加以评价。

A Web-Based Integrated Intelligent System for Sensory Fabric Hand Evaluation

This paper presents a web-based integrated system for on-line sensory fabric hand evaluation. The methods of fuzzy techniques, neural networks, classical factorial analysis and other data analysis are used in the system to analyze the objective and subjective data, and to build the relationship between them. Given the objective data of a new fabric sample, the system can provide its sensory hand data and its total hand grade. In meantime, the total hand grade can be obtained directly from the sensory fabric hand data if provided. The sensory evaluation system is developed in Internet environment using Java language and SQL server database management system.

Research and implementation on multi-dimension trust evaluation method with web service

Integrating with practical e-commerce application, this paper introduces a novel multi-dimension evaluation method to depict and calculate the trust values. The multi-dimension evaluation metrics include functional and nonfunctional properties and corresponding weights. The continuous measurement values and the Markov chain mechanism are adopted to compute the trust value and detect the malicious behaviors. The current evaluation has larger influence factor on the next transaction behavior. A trust model is implemented with web service which consists of publication, filtrating, calculating and storage center. It is easily extended and the user only defines each property and its weights according to specific requirements, then the trust values are got. In order to conveniently manage and avoid the dead-lock, some constraint rules are proposed. The results show that the method based on multi-dimension can reflect objectively the dynamic change of trust values.

Eureka Webair： Web-Based Air Quality Management, Real-Time Forecasting and Emission Control Optimization

For the assessment and management of regional to local air quality, an integrated environmental management information system was built within the multi national Eureka project 3266 Webair, http：//www.ess.co.at/WEBAIR. The system combines data bases and GIS and a range of coupled models and analytical tools that address a range of typical management problems and cover several levels of nesting from regional to city level and street canyons. The main functions are to support regulatory tasks, compliance monitoring, operational forecasting and reporting, impact assessment EIA （environmental impact assessment）, SEA （strategic environmental assessment） and public information within one consistent framework. A major objective is the improvement of air quality through emission control. The integrated model system together with its shared data bases provides a reliable, consistent basis for the non-linear techno-economic and multi-criteria optimization of emission control strategies （including greenhouse gases and energy efficiency）. A real-time expert system drives, supports and monitors the autonomous and interactive operations, and provides embedded QA/QC （quality assurance/quality control） functions for reliable operations and ease of use.

基于海量数据库的文献计量学研究新特点

根据当前海量数据库的发展 ,探讨了基于网络平台的海量数据库对文献计量学发展的作用、评价指标的扩展、交叉学科分析等 ,讨论了以引文机制为基础的文献计量综合评价研究趋势和特点 ,并结合Web环境下文献计量学研究实例 ,透视目前文献计量学领域的研究现状及其新的进展。

General ontology learning framework

In order to reduce the costs of the ontology construction, a general ontology learning framework （GOLF） is developed. The key technologies of the GOLF including domain concepts extraction and semantic relationships between concepts and taxonomy automatic construction are proposed. At the same time ontology evaluation methods are also discussed. The experimental results show that this method produces better performance and it is applicable across different domains. By integrating several machine learning algorithms, this method suffers less ambiguity and can identify domain concepts and relations more accurately. By using generalized corpus WordNet and HowNet, this method is applicable across different domains. In addition, by obtaining source documents from the web on demand, the GOLF can produce up-to-date ontologies.

基于共引分析及Fisher判别法的网站过滤及扩展研究

从大量动态无序的非结构化网络资源中发现主题或学科核心网站，是学科导航、个性化服务及信息推送的基础。但在核心网站评选过程中，存在两个问题，一是通过搜索引擎获得的相关网站集合中，有大量非相关网站，直接影响核心网站评选的效率；二是当前核心网站研究中均未考虑到网站的扩展问题。为此，本文将Web共引分析技术引入非相关网站过滤，提出利用Fisher判别法实现核心网站扩展，并给出了扩展可靠性检验方法。

互联网信息可信性的研究现状与评价框架构建

互联网信息可信性是目前学界尤其是国外包括信息科学在内的多个领域的研究热点。以Google Scholar为检索工具获得1993年以来有关互联网信息可信性的研究文献,从信息可信性定义和影响因素两方面梳理了十余年该领域的研究现状,并在此基础上构建了互联网信息可信性评价框架。最后指出了图书馆员在互联网信息可信性问题中的角色。