Information sharing across multiple humanitarian organizations—a web-based information exchange platform for project reporting

This article analyzes information sharing problems in the humanitarian development sector and proposes the concept of a web-based exchange platform to face some of the technical challenges. The “Development Information Exchange System” is a mediator-wrapper-architecture that uses XML documents to loosely couple autonomous and heterogeneous information systems. Detailed project information of humanitarian organizations that resides on data provider systems can be formatted with XSL stylesheets according to the needs of the users and shared within or between organizations. The system can help to close the control loop by providing qualitative information about humanitarian projects. This makes project management more efficient. The proposed architecture solves an interface problem between the various partners and stakeholders of humanitarian projects. It is a first step towards a service-oriented architecture between humanitarian organizations. The next step could be the definition of cross-organizational business processes. These processes may be defined platform-independently with the Business Process Execution Language for Web Services. A prototype of the exchange platform is presented and evaluated in this article.     

中外网络银行发展基础的差异性分析

通过对中外网络银行产生和发展的分析，揭示了我国网络银行在发展基础方面与国外网络银行的差距和不足，从商业银行的角度论述了促进我国网络银行理性发展的对策。     

对毕业设计与学生能力培养的几点看法

本文对日本大学生的毕业设计过程进行了介绍与分析，就毕业课题与学生能力的培养提出了几点看法。     

组合导航系统软件可靠性的神经网络静态预测

在组合导航系统大规模软件开发中，为了控制软件的质量，必须对软件模块的缺陷数进行预测，根据软件模块测试报告及软件复杂度，用神经网络方法预测了软件模块的缺陷数，结果表明：神经网络预测软件缺陷数化传统的线性回归方法具有更好的质量拟合度和估测能力。     

自组网及其安全性研究

目前大多数的 CSCW用户只能依靠现有的网络基础设施来进行协同工作 .自组网是在 CSCW基础上为CSCW用户提供的一种通信支撑环境 ,是一组带有无线收发装置的移动节点组成的一个多跳的临时性的自治系统 .Kerberos是一个基于可信赖第三方的认证系统 ,本文在介绍自组网的同时 ,将一种改进的 Kerberos系统用于自组网体系中 ,以提高其安全性     

视频回取过程的数学建模

本文提出了从磁盘系统中读取连续媒体数据以缓冲器的一般回取框架，然后对基于服务循环的回取算法进行了深入的讨论、量化分析和数学建模。     

宽带IP网络基于QoS的路由算法

文章简要介绍了网络服务质量路由问题,研究了一种在综合服务(IntServ)网络模型下保证服务质量的路由算法,并对该算法提出了一定的改进,从而提高了算法的性能。     

Using a Reliability Growth Model to Control Software Inspection

After a software inspection the project manager has to decide whether he can pass a product on to the next software development stage or whether it still contains a substantial number of defects and should be reinspected to further improve its quality. While a substantial number of defects remaining in a product after inspection is a reasonable precondition to schedule a reinspection, it is also important to estimate whether the likely number of defects to be found with a reinspection will lower the defect density under the target threshold. In this work we propose a reliability growth model and two heuristic linear models for software inspection, which estimate the likely number of additional defects to be found during reinspection. We evaluate the accuracy of these models with time-stamped defect data from a large-scale controlled inspection experiment on reinspection. Main findings are: (a) The two best models estimated the defect detection capability for reinspection with good accuracy: over 80% of the estimates had an absolute relative error of under 10%; (b) The reinspection decision correctness based on the estimates of all investigated models, overall around 80% correct decisions, was much better than the trivial models to always or never reinspect; the latter is the default decision in practice.     

An Improvement of McMillan's Unfolding Algorithm

McMillan has recently proposed a new technique to avoid the state explosion problem in the verification of systems modelled with finite-state Petri nets. The technique requires to construct a finite initial part of the unfolding of the net. McMillan's algorithm for this task may yield initial parts that are larger than necessary (exponentially larger in the worst case). We present a refinement of the algorithm which overcomes this problem.