基于微软SSAS技术的金融数据分析模块的实现

介绍一种利用数据挖掘技术开发金融数据分析模块的设计和实现,使用Microsoft SQL Server Analysis Services服务技术进行分析和预测。该模块的运行可以有效提高金融分析员的工作效率。     

BT类型P2P网络的位置知晓性数学建模研究

提出一个新的P2P网络研究问题,即BitTorrent类型对等网络(采用了相似的多源文件传输机制的P2P网络)的位置知晓性问题.设计了BT类型网络使用的具有理想位置知晓性的多源文件传输机制,进行了数学建模,分析证明了该机制具有良好的位置知晓性、下载性能、网络公平性和扩展性.     

开放性高校信息系统中Web Services的研究与应用

在分析了现存高校信息系统的应用现状和Web服务技术的基础上,针对现存主流的高校信息系统中存在的问题和Web服务的技术特点,提出了着重应用Web服务技术提升高校信息系统的对外服务的开放性的开发思路,使得企业等社会机构能更充分利用其科研资源.此外还对应用的具体开发平台.NET中相关技术进行了相应的分析.     

基于Web分层结构的通用框架实现及应用

随着构建系统的复杂性日益增强,基于原有的基础层次结构的构建方式将逐渐不能满足扩展的需求变化,因此,在原有的层次结构中进行一步抽象,建立一种新的层次结构;它是在J2EE框架下采用3款轻量级开源件Struts、Spring和ibatis进行构建,并把相应的开源件以及Web服务标准的相关技术和Ajax技术融合到各层中去,然后包装成一种基于Web的通用框架,同时结合一个高校评估系统(Hsvs)来使用该框架.这样,就可以实现数据与业务逻辑无缝访问,业务逻辑与表现逻辑高松散低耦合分离,以及降低开发人员的繁琐编码,增强软件的可扩展性和增长生命周期.     

基于Web Services系统登录日志的实现

目前高校内各部门的管理信息系统都拥有独立的记录登录日志和读取登录日志的模块,从而造成了业务逻辑的重复和数据的冗余。针对这种情况提出了一种基于WebServices的系统登录日志技术,使各异构系统能够统一调用登录日志的WebServices。这种方案充分利用了现有的网络资源,有效地避免数据与业务逻辑的冗余,实现了模块和数据的重用。     

出行信息服务关键技术研究进展与问题探讨

随着城市交通出行需求的不断增长.出行信息服务应运而生.介绍了出行信息服务产业的国内外发展状况,提出了出行信息服务技术平台的体系结构.分析了通讯平台、定位平台和地图平台的地位、作用及其发展趋势.从交通信息采集与处理、空间数据模型、路径规划算法、短时交通预测、信息可视化和服务标准规范等方面评述了关键技术的研究进展,分析了出行信息服务产业发展需要重点解决的科学与技术问题.以促进出行信息服务技术研究的进一步深化.     

基于Web有色金属物性数据库安全访问控制模型

针对基于Web的有色金属物性数据库的访问特点,分析了有色金属物性数据库在多层架构体系中存在的非法入侵、越权访问、信息重放攻击等安全性问题,提出了适应其软件架构要求的安全访问控制模型.并对所提出的安全模型分别进行了访问性能和安全性测试,测试结果表明,访问模型安全性较好,性能稳定.     

FENECIA: failure endurable nested-transaction based execution of composite Web services with incorporated state analysis

Interest in the Web services (WS) composition (WSC) paradigm is increasing tremendously. A real shift in distributed computing history is expected to occur when the dream of implementing Service-Oriented Architecture (SOA) is realized. However, there is a long way to go to achieve such an ambitious goal. In this paper, we support the idea that, when challenging the WSC issue, the earlier that the inevitability of failures is recognized and proper failure-handling mechanisms are defined, from the very early stage of the composite WS (CWS) specification, the greater are the chances of achieving a significant gain in dependability. To formalize this vision, we present the FENECIA (Failure Endurable Nested-transaction based Execution of Composite Web services with Incorporated state Analysis) framework. Our framework approaches the WSC issue from different points of view to guarantee a high level of dependability. In particular, it aims at being simultaneously a failure-handling-devoted CWS specification, execution, and quality of service (QoS) assessment approach. In the first section of our framework, we focus on answering the need for a specification model tailored for the WS architecture. To this end, we introduce WS-SAGAS, a new transaction model. WS-SAGAS introduces key concepts that are not part of the WS architecture pillars, namely, arbitrary nesting, state, vitality degree, and compensation, to specify failure-endurable CWS as a hierarchy of recursively nested transactions. In addition, to define the CWS execution semantics, without suffering from the hindrance of an XML-based notation, we describe a textual notation that describes a WSC in terms of definition rules, composability rules, and ordering rules, and we introduce graphical and formal notations. These rules provide the solid foundation needed to formulate the execution semantics of a CWS in terms of execution correctness verification dependencies. To ensure dependable execution of the CWS, we present in the second section of FENECIA our architecture THROWS, in which the execution control of the resulting CWS is distributed among engines, discovered dynamically, that communicate in a peer-to-peer fashion. A dependable execution is guaranteed in THROWS by keeping track of the execution progress of a CWS and by enforcing forward and backward recovery. We concentrate in the third section of our approach on showing how the failure consideration is trivial in acquiring more accurate CWS QoS estimations. We propose a model that assesses several QoS properties of CWS, which are specified as WS-SAGAS transactions and executed in THROWS. We validate our proposal and show its feasibility and broad applicability by describing an implemented prototype and a case study.     

Using visual and text features for direct marketing on multimedia messaging services domain

Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audience. Companies systematically dispatch the offers under consideration to a limited sample of potential buyers, rank them with respect to their performance and, based on this ranking, decide which offers to send to the wider population. Though this pre-testing process is simple and widely used, recently the industry has been under increased pressure to further optimize learning, in particular when facing severe time and learning space constraints. The main contribution of the present work is to demonstrate that direct marketing firms can exploit the information on visual content to optimize the learning phase. This paper proposes a two-phase learning strategy based on a cascade of regression methods that takes advantage of the visual and text features to improve and accelerate the learning process. Experiments in the domain of a commercial Multimedia Messaging Service (MMS) show the effectiveness of the proposed methods and a significant improvement over traditional learning techniques. The proposed approach can be used in any multimedia direct marketing domain in which offers comprise both a visual and text component.

A Y-channel design for improving zeta potential and surface conductivity measurements using the current monitoring method

This study presents a new Y-channel design for measuring the zeta potential and surface conductance of a solid-liquid pairing using the current monitoring technique. The new design improves the throughput and reliability of the testing apparatus since the displacement between two solutions can be repeated many times without interfering with the experiments. It also increases the accuracy of the measurement by producing sharper start and end transitions for the current–time plot of the solution displacement process. In this design, efforts have been made to minimize the effects of electrolysis, Joule heating and undesired pressure driven flow on the measurements. An improvement on the current–time slope analysis is also presented. The Y-channel design was validated by comparing zeta potential measurements to published results. The zeta potential of several biological buffers relevant to the microfluidic community in plasma treated PDMS/PDMS and PDMS/Glass microchannels are presented. Preliminary studies of surface conductivity measurements using the Y-channel design were also conducted and are briefly discussed.