On semantic,pragmatic, and dialectic triangles

A model is built of semantic triangle characterized by its universal nature: it is suitable not only for the elements of the real world but also for any elements of the Universe. Various possibilities of the development of the given model are shown, including a dialectic triangle.     

Characterising and exploiting workloads of highly interactive video-on-demand

This paper presents a detailed characterisation of user behaviour for a series of interactive video experiments over a 12 month period, in which we served popular sporting and musical content. In addition to generic VCR-like features, our custom-built video-on-demand application provides advanced interactivity features such as bookmarking. The dramatic impact of such functionality on how users consume content is studied and analysed. We discuss in detail how this user behaviour can be exploited by content distributors to improve user experience. Specifically, we study how simple dynamic bookmark placement and interactivity-aware content pre-fetching and replication can reduce the impact of highly interactive media on CDN performance.     

Best value concessionaire selection through a fuzzy logic system

Best value is the ultimate goal in the development of infrastructure projects through public private partnerships. This necessitates a best value approach in selecting the right private partner (i.e., the concessionaire) that involves evaluating alternative concessionaires against multiple conflicting criteria of varying degrees of importance and uncertainty. Correspondingly, this paper has developed a quantitative best value concessionaire selection system. The essence of this system lies in (1) the establishment of four-package evaluation criteria that can effectively measure the concessionaire’s capability and “predict” its future performance toward achieving the government’s best value objectives and (2) the development of a fuzzy-composite scoring and ranking method that ensures the right “tradeoff” between these criteria by relatively weighting fuzzy scores and logically aggregating evaluation results. This system would not only provide the government integrated assessments of alternative concessionaires so as to award the contract to the right concessionaire whose proposal is perceived to be able to maximize the outcome of the project, but also satisfy the requirements of the legal decision in order to withstand legal challenges concerning the public contract awarded in a best value approach. A hypothetical case study is provided to demonstrate the application of this best value concessionaire selection system.     

基于Web Service的虚拟研究中心KMS构建

针对虚拟研究中心知识管理敏捷化、柔性化和分布式的需求特性,结合Web Service技术搭建了虚拟研究中心知识管理系统网络体系架构,提出一种基于Web Service的虚拟研究中心知识管理系统模型。依据模型框架,构建雅砻江水电开发虚拟研究中心知识管理系统。研究表明,依据模型构建的虚拟研究中心知识管理系统能有效地实现基于Web的知识共享、交流和创新,模型具有较好的可靠性和可行性。     

IBI and CA Model based Extraction of Urban Built\|up Areaand Its Application：A Case Study in Shanghai

At present,the automatic extraction of urban built\|up area is still a problem.Taking Shanghai city as an example,this research uses the binary image,which was derived from an IBI(index\|based built\|up index)image,as the geographical cellular automaton initial input data.This was then imported to the extended cellular automata model for further processing.After a series of processing such as thresholding,corrosion and connectivity test,the urban built\|up area was simulated and can be extracted.Based on this method,the urban built\|up area of Shanghai in five different years between 1987 and 2015 was extracted using multi\|temporal Landsat images of Shanghai.In addition,the urban growth intensity index,the concentric buffers analysis and radar chart analysis were calculated and used to analysis spatiotemporal pattern of Shanghai urban expansion in the 28 study years.The result shows that the built\|up area of Shanghai was expanded from 195 km² in 1987 to 1759 km² in 2015,which is eight times as large as that in 1987.In the period between 1987 and 2002,the urban built\|up area expanded mainly along the North\|South axis of the Huangpu River.However,after 2002 the expansion rate was increased more quickly,and the direction of the expansion was shifted to an east to west direction.Generally speaking,Shanghai has experienced a rapid urban expansion in the recent three decades.     

财务困境预警的二阶段模型构建与应用

模糊神经网络汇集神经网络和模糊逻辑的优点,能有效避免神经网络的“黑箱”操作,但存在“维数爆炸”现象。将粗糙集和模糊神经网络有机集成,构建财务困境预警的二阶段模型：第一阶段利用粗糙集知识约简对数据集降维消冗,提取最优指标集;第二阶段以最优指标集设计基于模糊神经网络的财务困境预警模型。该模型融合粗糙集和模糊神经网络的特点,能提高网络结构的精练性、启发性和透明性。应用实例的结果表明该模型能有效克服“维数灾难”,避免数据噪声引起的模型过度适应,提高模型预测准确性。     

高职院校数字化校园建设的研究与思考

进入“十二五”,高职院校普遍完成了院校组建的初期建设,开始进入内涵建设的阶段。文章从高职院校进行数字化校园建设的目标和意义展开,探讨数字化校园作为高职院校内涵建设的重要组成部分,对提升高职院校的教学、科研和管理水平以及建设现代化的高等职业教育有着极其重要的作用;并对面向高等职业教育、以服务院校实际业务为目的高职院校数字化校园建设进行研究与思考。     

An elusive antecedent of superior firm performance: The knowledge management factor

Knowledge management (KM) concepts, principles, and technologies provide a foundation for understanding and building systems for acquiring, assimilating, selecting, generating, and emitting knowledge—a crucial resource of the firm. In the knowledge management community, it is commonly contended that knowledge, and capabilities for processing it, comprise a major resource that can differentiate one firm from another in the sense of yielding better performance or a competitive edge. However, aside from anecdotes, there has been little to substantiate this contention. Can any empirical link be discovered between a firm's KM success and that firm's financial performance? To develop an answer to this question, we use an independent research company's reports of firms judged to be highly successful in their KM initiatives, plus related data reported by COMPUSTAT. As an initial investigation of the linkage between KM performance and firm performance, as measured by financial ratios, this study uses the Matched Sample Comparison Group methodology to evaluate research hypotheses. The analysis reveals a heretofore elusive antecedent of firm performance—evidence that superior KM performance is indeed a predictor of superior bottom-line performance. This study contributes to the information systems (IS) literature by demonstrating that KM, a basic foundation for IS, is an important factor to consider from the standpoint of achieving strong financial performance. As such, it suggests that KM furnishes an important context for understanding designs, applications, and possibilities for IS with respect to achieving such performance. In the context of devising and executing KM initiatives, both technological and human treatments of knowledge need to be cultivated and integrated in ways that lead to superior KM performance. This study also contributes to the management literature by going beyond anecdotes and case studies in buttressing the proposition that a firm's KM competencies are an important ingredient in that firm's performance. It solidifies the raison d'etre for investigating KM phenomena and methods (computer-based and human), both within and across modern organizations. It gives practicing managers evidence that bottom-line benefits are indeed associated with superior KM strategy and execution.     

Operational causes of bankruptcy propagation in supply chain

With the increasing interdependence among supply chain members, bankruptcy of a supply chain member may be caused by operational decisions of other members. To investigate how bankruptcy occurs and propagates in supply chain networks, we build a multi-agent simulation model for a two-stage supply chain that consists of multiple upstream manufacturers and multiple downstream retailers. Based on the developed simulation model, we study impacts of various operational parameters and decisions, such as horizontal competition among retailers, order allocation strategies of retailers, wholesale price of manufacturers, characteristics of market demand and number of retailers, on bankruptcy propagation. Since many operational decisions of a firm are made under financial constraints, we also investigate the linkage between firm's operational risks and financial decisions (e.g., the maximal risk of cash flow that a member is willing to take, and the up-front payment proportion of retailers in a two-period payment policy). Experimental results reveal that operational interactions between supply chain members and operational decisions made by supply chain members are important causes of bankruptcy propagation, but impacts of these operational parameters and decisions depend on financial decisions. These observations indicate that supply chain members can moderately hedge their operational risk through financial decisions.     

一种基于社会学行为的Pub/Sub系统路由*

为减少Pub/Sub系统中遍历广播的负载,基于社会学行为的小世界架构,提出了一种基于朋友圈的路由,给出了朋友圈划分算法以及基于朋友圈的Pub/Sub系统遍历算法,以限制消息在确定范围内传播,降低消息遍历的时间和广播开销。仿真实验表明,所提出的方法与Pub/Sub系统中传统的Gossip及洪泛法相比较,可加快消息的传播速度,降低网络开销。