一种基于Web服务的工作流过程模型

工作流管理系统实施是提高企业核心竞争力的有力措施,而工作流过程模型是整个工作流管理系统的基础,在Web服务的基础上提出了一种分层的过程模型,同时在过程模型中增加新的元素事务活动和事务节点,增加了模型对工作流管理系统的分布异构环境以及事务特性的支持.     

基于领域本体的多层次服务综合匹配

为提高Web服务匹配的灵活性、查全率和查准率,提出了一种基于领域本体的综合服务匹配方法。首先,该方法以领域本体为描述语言提出了Web服务和服务请求的描述形式;然后以此为基础提出了“三层次”服务匹配模型来提高服务匹配的灵活性;同时指出了每层次的相似函数,这些函数综合考虑了影响服务匹配查全率和查准率的各种因素,并在算法中加以体现;最后用实验证明提出的匹配方法是可行和有效的。     

POESIA: An ontological workflow approach for composing Web services in agriculture

This paper describes the POESIA approach to systematic composition of Web services. This pragmatic approach is strongly centered in the use of domain-specific multidimensional ontologies. Inspired by applications needs and founded on ontologies, workflows, and activity models, POESIA provides well-defined operations (aggregation, specialization, and instantiation) to support the composition of Web services. POESIA complements current proposals for Web services definition and composition by providing a higher degree of abstraction with verifiable consistency properties. We illustrate the POESIA approach using a concrete application scenario in agroenvironmental planning.Received: 15 December 2002, Accepted: 16 April 2003, Published online: 30 September 2003Edited by: V. AtluriRenato Fileto: fileto@ic.unicamp.br     

A computing model for enhancing service quality and increasing profitability of corporations: model evaluation based on two different sources data

In this paper, we introduce and evaluate a computing model for enhancing service quality of consumers and increasing profitability of corporations. We discuss the model prediction of the turning and transition period based on data from two different sources. By applying these real data of some leading manufacturing corporations in Japan we analyze the model accuracy. By using the proposed model, the corporation can increase their profit by enhancing the marketable quality. From the analysis, we conclude that even there are some differences between two sources data, the proposed model give a good approximation and prediction of the turning and transition period of Japanese economy.     

A hybrid fuzzy model for selecting and evaluating the e-book business model: A case study on Taiwan e-book firms

This study evaluates an appropriate business model for e-book firms in Taiwan. We apply expert questionnaires to calculate the weights, which contain five criteria, namely, business strategy (BS), finance characteristics (FC), market characteristics (MC), quality measurements of product and service (QS) and implementation (IM) (BCCSM) for the capability of developing the firms’ business. Then, a fuzzy analytic hierarchy process (FAHP) is adopted to explore the weights of indices, and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), grey relation analysis (GRA), and the technique for order preference by similarity to ideal solution (TOPSIS) are utilized to rank the three alternatives. The results show that a single brand is the best e-book firms’ business strategy that is simultaneously integrated by content, platforms, and devices, while the top two weights of the evaluation criteria are the business strategy and market characteristics to enable firms to develop an appropriate e-book business model.     

Distributed computing model for processing remotely sensed images based on grid computing

With advances in remote-sensing technology, the large volumes of data cannot be analyzed efficiently and rapidly, especially with arrival of high-resolution images. The development of image-processing technology is an urgent and complex problem for computer and geo-science experts. It involves, not only knowledge of remote sensing, but also of computing and networking. Remotely sensed images need to be processed rapidly and effectively in a distributed and parallel processing environment. Grid computing is a new form of distributed computing, providing an advanced computing and sharing model to solve large and computationally intensive problems. According to the basic principle of grid computing, we construct a distributed processing system for processing remotely sensed images. This paper focuses on the implementation of such a distributed computing and processing model based on the theory of grid computing. Firstly, problems in the field of remotely sensed image processing are analyzed. Then, the distributed (and parallel) computing model design, based on grid computing, is applied. Finally, implementation methods with middleware technology are discussed in detail. From a test analysis of our system, TARIES.NET, the whole image-processing system is evaluated, and the results show the feasibility of the model design and the efficiency of the remotely sensed image distributed and parallel processing system.     

A systematic decision making approach for product conceptual design based on fuzzy morphological matrix

Conceptual design plays an important role in development of new products and redesign of existing products. Morphological matrix is a popular tool for conceptual design. Although the morphological-matrix based conceptual design approaches are effective for generation of conceptual schemes, quantitative evaluation to each of the function solution principle is seldom considered, thus leading to the difficulty to identify the optimal conceptual design by combining these function solution principles. In addition, the uncertainties due to the subjective evaluations from engineers and customers in early design stage are not considered in these morphological-matrix based conceptual design approaches. To solve these problems, a systematic decision making approach is developed in this research for product conceptual design based on fuzzy morphological matrix to quantitatively evaluate function solution principles using knowledge and preferences of engineers and customers with subjective uncertainties. In this research, the morphological matrix is quantified by associating the properties of function solution principles with the information of customer preferences and product failures. Customer preferences for different function solution principles are obtained from multiple customers using fuzzy pairwise comparison (FPC). The fuzzy customer preference degree of each solution principle is then calculated by fuzzy logarithmic least square method (FLLSM). In addition, the product failure data are used to improve product reliability through fuzzy failure mode effects analysis (FMEA). Unlike the traditional FMEA, the causality relationships among failure modes of solution principles are analyzed to use failure information more effectively through constructing a directed failure causality relationship diagram (DFCRD). A fuzzy multi-objective optimization model is also developed to solve the conceptual design problem. The effectiveness of this new approach is demonstrated using a real-world application for conceptual design of a horizontal directional drilling machine (HDDM).