基于Web的冲裁模CAD/CAM系统的关键技术及应用实例

对基于Web的冲裁模CAD/CAM系统WebCPD系统进行总体设计,给出了WebCPD系统的具体实现方法,介绍了WebCPD系统实现的关键技术,并以应用实例的形式说明使用WebCPD系统进行模具设计.     

产品形态设计中的协同工作研究

计算机支持的协同工作CSCW(Computer Supported Cooperrative Work)随着计算机和通信突飞猛进的发展已经成为近些年来的热点课题,在产品形态设计中开展研究协同工作技术就具有非常重要的意义.文章针对产品设计协同工作的需求,结合产品设计的特点,研究建立了产品形态设计协作模型,论述了基于Web的开发应用技术和开发特征.为解产品形态设计的协同问题,提供了可行的新模式,给出了利用Web现有资源以及低成本技术构建产品开发项目协同设计环境的一种新的开发研究方向.     

基于Web的个性化产品定制系统

对基于Web的个性化定制系统的特点、功能及其与CIMS其它子系统的联系进行了分析,建立了基于Web的个性化产品定制系统的整体框架.以客户满意度为指导,探讨了客户需求的获取方法和产品定制的方式.针对客户与企业协同设计的趋势,对客户在产品设计、制造中的协同方法进行了研究.在理论研究的基础上,开发了客户化定制系统原型并进行了初步应用,实现了基于Web从客户需求到满足客户需求和市场的产品的转变.     

A GRASP × ELS approach for the job-shop with a web service paradigm packaging

The Job-Shop Scheduling Problem (JSSP) is well known for its complexity as an NP-hard disjunctive scheduling problem. The problem addressed in this paper is JSSPs with an objective of minimizing makespan while satisfying a number of hard constraints. An efficient GRASP × ELS approach is introduced for solving this problem. The efficiency is evaluated using the widely known 40 Laurence’s instances which encompass medium and large scale instances. The computational results prove that the proposed method competes with the best published methods in both quality of results and computational time. Recently, Web services have generated great interest in researchers. Such application architecture is based on the client–server model using existing Internet protocols and open standards. It provides new approaches to optimization methods. The proposed GRASP × ELS is packaged into a Web Service (WS), i.e., it offers for the research community an open access to our optimization approach. Moreover, the proposed web service can be even included in research future works with a very small programming effort.To favor utilization of the web service and to prove the facility in which the service could be used, we provide an example in Java proving that it is possible to obtain in less than 10 min a client application using the different methods exposed by this web service. Such usage extends to classical library inclusion in program with the difference that a method is called in the client side and represents an execution on the server.The Web Service paradigm is a new approach in spreading algorithms and therefore this paper stands at the crossroads of optimization research community and the web service community expectations. The GRASP × ELS provided in the web service, is a state of the art method which competes with previously published ones and which has the advantage of being available for free, in any languages, everywhere contributing in spreading operational research contribution.     

Exploiting temporal information in Web search

Time plays important roles in Web search, because most Web pages contain temporal information and a lot of Web queries are time-related. How to integrate temporal information in Web search engines has been a research focus in recent years. However, traditional search engines have little support in processing temporal-textual Web queries. Aiming at solving this problem, in this paper, we concentrate on the extraction of the focused time for Web pages, which refers to the most appropriate time associated with Web pages, and then we used focused time to improve the search efficiency for time-sensitive queries. In particular, three critical issues are deeply studied in this paper. The first issue is to extract implicit temporal expressions from Web pages. The second one is to determine the focused time among all the extracted temporal information, and the last issue is to integrate focused time into a search engine. For the first issue, we propose a new dynamic approach to resolve the implicit temporal expressions in Web pages. For the second issue, we present a score model to determine the focused time for Web pages. Our score model takes into account both the frequency of temporal information in Web pages and the containment relationship among temporal information. For the third issue, we combine the textual similarity and the temporal similarity between queries and documents in the ranking process. To evaluate the effectiveness and efficiency of the proposed approaches, we build a prototype system called Time-Aware Search Engine (TASE). TASE is able to extract both the explicit and implicit temporal expressions for Web pages, and calculate the relevant score between Web pages and each temporal expression, and re-rank search results based on the temporal-textual relevance between Web pages and queries. Finally, we conduct experiments on real data sets. The results show that our approach has high accuracy in resolving implicit temporal expressions and extracting focused time, and has better ranking effectiveness for time-sensitive Web queries than its competitor algorithms.     

Semantic weak signal tracing

The weak signal concept according to Ansoff has the aim to advance strategic early warning. It enables to predict the appearance of events in advance that are relevant for an organization. An example is to predict the appearance of a new and relevant technology for a research organization. Existing approaches detect weak signals based on an environmental scanning procedure that considers textual information from the internet. This is because about 80% of all data in the internet are textual information. The texts are processed by a specific clustering approach where clusters that represent weak signals are identified. In contrast to these related approaches, we propose a new methodology that investigates a sequence of clusters measured at successive points in time. This enables to trace the development of weak signals over time and thus, it enables to identify relevant weak signal developments for organization’s decision making in strategic early warning environment.     

基于容器的Web运行环境轻量级虚拟化方法

Web运行环境、Web服务及Web应用的虚拟化是减轻Web操作系统安全风险的一种有效方法,然而Web运行环境的虚拟化仍然存在不少挑战,如：执行时间、资源负载和兼容性等。为解决Web操作系统在安全性、执行时间、资源负载和兼容性方面的问题,提出了一种Web运行环境轻量级虚拟化方法,采用Docker容器技术实现进程级别的隔离。本虚拟化方法可在一个基本内核上支持运行多种Web运行环境的容器。此外,为了减轻容器创建负载,提出了容器启动机制;为减轻系统资源负载,进行了系统的轻量化处理。在嵌入式设备的实验结果表明,该虚拟化方法在执行时间、资源负载及兼容性方面都具有较优表现。     

Web挖掘技术及其在网络教学评价中的应用

结合W eb日志挖掘技术和数据立方体技术应用于网络教学评价体系,以网络教学体系的W eb服务端和客户端的日志作为数据源,使用数据挖掘技术采集有用的数据进行分析抽取,建立数据库,再应用数据立方体技术、OLAP进行分析处理,得到所需的评价结果。结果表明,此算法可以客观的评价网络教学结果。     

Beauty is more than screen deep: Improving the web survey respondent experience through socially-present and aesthetically-pleasing user interfaces

Web surveys are rapidly becoming standard issue in many researchers’ toolkits; however, measurement error has been shown to affect web surveys to a greater extent than paper-and-pencil surveys (Couper, 2000, Manfreda and Vehovar, 2002). Principles of aesthetic design and social presence have been applied to web surveys to reduce the prevalence of such error with promising results, which were further investigated in this research. A sample of 181 first-year psychology undergraduate students participated in this study. Participants were randomly allocated to view one of eight web survey interfaces, which varied by aesthetic quality and social presence. Exploratory structural equation modeling using the partial least squares method revealed that classical aesthetic quality and social presence were both positively related to perceived ease of use of the web survey interface and positive state affect; social presence and perceived ease of use were positively related to trust in the web survey researcher; classical aesthetic quality was negatively related to negative state affect; and, expressive aesthetic quality was negatively related to perceived ease of use and positively related to positive state affect. Interestingly, expressive aesthetic quality was also positively related to negative state affect. These relationships between aesthetic quality and social presence should inform best practice web survey design recommendations, and future empirical work should extend and test the generalizability of these findings.     

A UNIFIED FRAMEWORK OF TARGETED MARKETING USING CUSTOMER PREFERENCES

One of the fundamental tasks of targeted marketing is to elicit associations between customers and products. Based on the results from information retrieval and utility theory, this article proposes a unified framework of targeted marketing. The customer judgments of products are formally described by preference relations and the connections of customers and products are quantitatively measured by market value functions. Two marketing strategies, known as the customer‐oriented and product‐oriented marketing strategies, are investigated. Four marketing models are introduced and examined. They represent, respectively, the relationships between a group of customers and a group of products, between a group of customers and a single product, between a single customer and a group of products, and between a single customer and a single product. Linear and bilinear market value functions are suggested and studied. The required parameters of a market value function can be estimated by exploring three types of information, namely, customer profiles, product profiles, and transaction data. Experiments on a real‐world data set are performed to demonstrate the effectiveness of the proposed framework.