基于规则引擎的实时关键绩效指标生成技术

为了适应当前瞬息变幻的市场环境,针对当前只能按照系统既定的规则和特定应用环境来监控企业中关键绩效指标的不足,提出了基于规则引擎的实时关键绩效指标(KPI)生成方法以及基于KPI变化趋势的预测方法,并建立了基于事件的KPI数据流实时可视化展示和预警机制。通过模拟实际业务表明,规则引擎可以较好地分离业务逻辑,实现KPI的灵活可配、实时推理以及有效的可视化预警;基于实时KPI变化趋势的预测模型实现企业关键信息的预判能力,提高了企业的决策效率。     

基于规则引擎的实时关键绩效指标生成技术

为了适应当前瞬息变幻的市场环境,针对当前只能按照系统既定的规则和特定应用环境来监控企业中关键绩效指标的不足,提出了基于规则引擎的实时关键绩效指标(KPI)生成方法以及基于KPI变化趋势的预测方法,并建立了基于事件的KPI数据流实时可视化展示和预警机制。通过模拟实际业务表明,规则引擎可以较好地分离业务逻辑,实现KPI的灵活可配、实时推理以及有效的可视化预警;基于实时KPI变化趋势的预测模型实现企业关键信息的预判能力,提高了企业的决策效率。     

基于ASP.NET的绩效考核系统

KPI(关键绩效指标)统计系统功能包括:系统管理、KPI绩效计算以及底层公共系统、数据导入、历史数据查询和导出、数据实时展示等。系统B/S结构,整个系统采用三层架构作为程序的总体框架。     

绩效考核信息系统的KPI预测算法研究

国内部分高校绩效考核信息系统,存在KPI体系的设置合理性及数据挖掘分析的有效性的障碍。为此在充分挖掘、分析系统内KPI数据特点的基础上,采用多重滤波算法对KPI数据进行预处理,基于支持向量机的算法设计,提出了高校组织绩效KPI预测模型。     

神华集团物资管理统计指标体系与BI决策支持系统的构建

神华集团物资管理指标体系旨在建立覆盖物资业务全过程、满足管理层与业务层对数据查询和分析的需要,形成以关键绩效指标(KPI)提升为目标,具有风险防范能力的闭环式管理机制,并通过运用商务智能BI技术,引入SAP BW工具来构建物资管理的大数据平台,为物资管理决策分析提供支持。     

融合高维随机矩阵数据分析模型的 企业级业务系统间数据交互

通过分析企业级业务系统的发展现状,结合现阶段部分企业在系统建设方面缺乏规范化和标准化的数据共享机制,提出一种融合高维随机矩阵大数据分析模型(Large Data Analysis Model of High Dimensional Random Matrix, LDAMMHDRM)的企业级业务系统间数据交互方法。该方法利用高维随机矩阵解调隐藏信息求取隐藏频次序列,构造大数据分析模型,降低了企业级业务系统间数据交互应用所需运行存储量。通过仿真实验结果显示,本文方法能够有效提高企业级业务系统间数据交互应用能力,模型的容错性非常好。     

医院数据统一应用平台的研究与设计

[目的]基于现有的业务信息系统数据,建立医院数据统一应用平台,提升业务数据的服务与再利用能力.[方法]通过建立医院数据统一应用平台改善业务系统数据获取能力、实现数据集中统一存储、提升医院数据综合应用利用与服务能力.[结果]通过门诊实时流量监控数据展示与医院综合运营数据展示作为医院数据统一应用平台的示范应用,建立医院数据统一应用的示范原型,实现了医院数据统一应用的综合展示、数据准实时监控的效果.[讨论]数据统一应用平台的建设过程涉及多个业务系统数据的整合,解决好数据一致性、海量数据处理、如何规划好数据统一应用主题的问题是建设过程中的关键性问题.     

基于GIS的气象信息标准化服务平台的设计与实现

随着气象资料服务不断格点化、精细化,对气象数据基于GIS(geographic information system,地理信息系统)的显示发布要求进一步提高。当前各气象业务系统在建设时往往存在重复处理气象数据及开发整合地理信息系统的现象,重复开发基于地理信息的可视化功能会造成资源浪费,延长开发周期。该文根据实际业务需求,集成了多源异构的气象数据,设计实现了基于GIS的气象信息标准化服务平台。该平台主要依托CIMISS(全国综合气象信息共享平台)数据接口、各类气象资料观测数据文件,依照地理信息数据图层金字塔分级方式,将气象数据进行重新组织,以Web方式提供标准化PaaS(platform as a service,平台即服务)服务,包括地图服务、地理覆盖服务和地理要素服务,以更便捷、更安全、更全面的方式向本级和下级单位各业务部门提供气象数据GIS服务(包含GIS和数据服务)。该平台在江苏省气象局多个气象业务系统中投入应用,有效减少了业务系统建设环节中的气象资料可视化重复开发所造成的资源浪费,收到了良好的应用效果。     

基于DCS／MES／ERP三层架构的铝冶炼企业管控一体化数据采集策略

重点介绍了铝冶炼企业基于DCS／MES／ERP三层次IT应用,在管控一体化及网络业务系统建设中相关计量检斤、工艺参数、质量化验数据、生产技术指标、经营数据的采集策略与方法。对生产现场各类独立的业务系统提出了功能建设和接口实现方案,完成生产网数据到管理网数据的采集和业务应用系统的集成。通过铝;台炼生产的检测、控制、优化调度、管理决策的一体化,为企业生产调度、管理、决策提供可靠的管理手段,以期实现节能降耗、提高效率、降低成本的目的。     

中间数据库：提升油气调控管理水平

随着油气调控业务的逐步深入,基于SCADA系统的高级应用需求不断增加,待建的能耗数据采集与应用、在线仿真等项目都对在线运行的SCADA系统提出了数据访问需求。而且管道其他业务应用对运行数据的需求越来越旺盛,为保证SCADA系统安全性和稳定性,同时基于满足高级应用数据访问的需求,拟建设一个介于ScADA系统与各高级应用系统之间的中间数据库平台。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.