智能电网背景下供电企业辅助决策支持系统的应用实践

在智能电网建设发展趋势及国家电网公司、省公司两级数据中心的总体框架下,结合地市级供电企业管理精细化的实际需求,对地市级供电企业数据及应用集成的模式进行研究,提出了建立地市级分散式数据备份中心,并以此为数据基础,提出建设地市级供电企业辅助决策支持系统的基本设想。在此研究的基础上,集成了鞍山供电公司营销、生产、人力资源等核心业务数据库,整合了公司主营业务数据,建立了基于数据仓库的数据管理平台,基本解决了企业数据共享的问题。实践结果表明该系统具有实用性与有效性。     

温室智能控制关键技术研究动向

温室环境智能控制系统将成为现代农业发展的重要手段和措施,因而建立基于作物生长模型、温室综合环境预测分析模型和栽培专家系统知识库,温室环境复杂系统的建模与专家决策支持系统研究,温室环境智能控制系统技术研究与系统开发等将成为今后主要研究内容。     

“数据仓库与数据挖掘”常见名词解释

Data Warehouse 本世纪80年代中期,“数据仓库之父”William H.Inmon先生在其《建立数据仓库》一书中定义了数据仓库的概念,随后又给出了更为精确的定义:数据仓库是在企业管理和决策中面向主题的、集成的、与时间相关的、不可修改的数据集合。与其他数据库应用不同的是,数据仓库更像一种过程,对分布在企业内部各处的业务数据的整合、加工和分析的过程。而不是一种可以购买的产品。     

樱花灌溉用水中真实作物系数的计算方法

在通过对兴宁2017—2018年"中国红"樱花完整生育期内试验观测基础上,利用逐时动态连续的土壤含水量数据和气象资料,结合Penman-Monteith公式计算逐日真实作物系数。结果表明樱花的真实作物系数年变化呈单峰特征,具有年初和年末小、年中大的规律,同时受土壤质地、生长状况及降水等变量因素的影响。研究以期为樱花具体灌溉生产中确定作物系数提供一种切合实际且方便的途径。     

基于数据仓库技术的QHSE报告系统的设计与实现

本文结合中国石油QHSE报告系统的设计和开发,分析阐述了一个实际应用的数据仓库项目的分析和建设过程,给出了数据仓库项目设计和实施方案。重点研究了如何从技术层次上实现数据仓库平台源文件处理、数据抽取、数据转换、数据加载的ETL过程。     

数据仓库技术

企业在发展的过程中产生并收集了大量的业务数据。如何有效地存储、管理和分析这些数据,从中提取有用信息,帮助决策者在业务管理和发展上作出及时、正确的判断,成为数据仓库所要解决的主要问题。对数据仓库的概念和产生背景、数据仓库系统的功能和作用进行了介绍。     

玩具行业应对TBT风险预警系统的研究

本文分析对比了国内外玩具行业应对TBT风险的情况,探讨了应对TBT风险预警系统的结构,研究了建立风险预警系统所应用的Web自动数据挖掘、数据仓库和决策支持系统等关键技术,通过Web数据挖掘技术提高信息自动采集、获取的效率,通过决策支持系统为主管部门制定应对措施和风险等级评估提供可靠的依据。     

数据仓库及其应用研究

本文首先对数据仓库的理论进行了系统、深入的研究,然后详细论述了数据仓库在企业的生产、经营、管理、产品售后服务等各个环节中以及对组织（含政府、企业等）决策者决策事务时及时、全面、便捷地提供有效信息等实际应用所发挥的不可替代的作用,最后分析了数据仓库的应用将对组织的决策所产生的深远影响。     

在IBM搞信息化

数据仓库、交易数据存储、参考数据等已经没有意义,除非能把这些结合起来。     

数据仓库在煤炭系统的应用分析

煤炭行业在数据上具有空间密度大、时间密度小等特点,在煤炭系统中,应用数据仓库具有重要意义。本文首先对数据仓库在煤炭系统的应用意义作出阐述,然后结合实例,对数据仓库在煤炭系统中的具体应用进行分析,希望对业内煤炭系统的构建工作起到一定参考作用。     

Targeting agricultural research to benefit poor farmers: Relating poverty mapping to maize environments in Mexico

We explore approaches for targeting agricultural research to benefit poor farmers. Using small area estimation methods and spatial analysis, we generated high-resolution poverty maps and combined them with geo-referenced biophysical data relevant to maize-based agriculture in Mexico. We used multivariate classification and cluster analysis to synthesize biophysical data relevant for crop performance with rural poverty data. Results show that the rural poor are concentrated in particular regions and under particular circumstances. Formal maize germplasm improvement trials were largely outside the core areas of rural poverty and there was little evidence for direct spillover of improved germplasm. Agro-climatic classification used for targeting breeding is useful but often ignores some important factors identified as relevant for the poor. Combining this method with poverty mapping improves stratifying and targeting crop breeding efforts to meet the demands of resource-poor farmers. We believe this integrated approach will help increase benefits from agricultural research to poor rural communities.     

基于数据仓库的客户服务系统的设计与实现

探讨了数据仓库在某个电信行业客户服务系统的应用,介绍了基于数据仓库的客户服务系统的基本框架,提出了6个主要客户应用,利用Sybase数据仓库解决方案建立了客户服务系统,并给出了分析用户联络行为的1个应用实例,为电信行业客户服务中心提高服务质量和决策效率提供了新的思路。     

基于数据仓库的税务信息管理系统的方案设计

在对某省税务管理信息系统分析的基础上,提出了采用数据仓库技术和联机分析技术建立的一个税务信息查询、分析系统,可实现税务征管业务信息化,提升税收工作的计划、决策、执行、监控和管理能力。     

零售业数据仓库开发过程中数据挖掘模型的设计和应用

伴随着企业数据量的不断增加,客观上要求为高层管理者提供集成化和历史化的数据。如何利用各部门信息系统中的数据,帮助高层管理者进行相关的决策分析,这个问题变得日益重要。以零售业管理平台系统为实例,介绍了在传统的数据库管理系统基础上,在构建数据仓库及相关的决策分析模型中,如何进行数据挖掘对象的分析,数据挖掘模型和数据的准备,以及数据挖掘模型的应用。     

一种超市OLAP系统的设计与实现

在简要分析OLAP和数据仓库的关系的基础上,介绍了某超市OLAP系统的一种体系结构、数据组织模式及其有关实现的关键技术,提出了一种建立在MSAnalysisServices上的OLAP系统的设计与实现方法。它采用MicrosoftSQLServer2000作为后台数据库服务器,使用MicrosoftSQLServer2000的AnalysisServices作为OLAP服务器,使用决策支持对象来管理OLAPServer中的各种对象,使用ADO/MD及MDX等技术实现多维分析。     

Could farmer interest in a diversity of seed attributes explain adoption plateaus for modern maize varieties in Malawi?

This study uses new data from a household survey (n = 179) in Mulanje District, Malawi to examine whether the observed adoption plateaus for modern maize varieties in Malawi partly reflect farmer interest in a diversity of maize seed attributes. Regression results for the study area indicate that specific attributes of different maize varieties are an important influence on their use. The benefits to growing hybrid maize appear to be yield and drought tolerance. Open pollinated varieties are selected by farmers who value early maturity. Local maize varieties are popular among farm households owing to a number of favourable processing and consumption characteristics: storability, poundability, flour-to-grain ratio, and taste. Further research using nationally representative data is needed to assess whether findings for Mulanje District can be generalized to Malawi as a whole. If future studies agree with the results herein then maize breeding research programs in Malawi should consider a diversity of traits beyond grain yield to encompass the range of production, processing, and consumption attributes that are valued by farmers.     

数据挖掘在员工考评管理信息系统中的应用

针对企业员工综合考评管理信息系统的设计需求,提出了一种基于RBF径向基神经网络的数据挖掘方法,着重讲述了该挖掘方法的构造方案及其在员工考评管理信息系统中的应用。方案首先对员工"德能勤绩"数据仓库进行提炼,抽取形成考评数据挖掘库,然后应用RBF神经网络从大量的员工数据中挖掘有用信息,实现对员工的考评细分,为企业的管理决策提供有力支持。实际应用情况表明了方案的科学性和有效性。     

Promoting rapid and sustained adoption of biofortified crops: What we learned from iron-biofortified bean delivery approaches in Rwanda

Micronutrient deficiencies, also known as hidden hunger, affect two billion people worldwide, curtailing their ability to lead healthy, productive lives. Biofortified staple crops, bred to be rich in micronutrient content, are a cost-effective and scalable solution to alleviating micronutrient deficiency, particularly among rural households who consume what they produce. Delivery of biofortified planting material in Rwanda began in 2012, and it is important to learn from the efforts undertaken to date to inform the design of higher impact – lower cost delivery strategies for scaling up these crops. In this paper, we use a nationally representative household survey of bean producers and delivery data from seven consecutive seasons and apply duration analysis to estimate the impact of different delivery approaches on household time to adoption, disadoption and readoption of iron-biofortified beans in Rwanda. Proximity to formal delivery via sales of small packets of planting material quickens adoption and readoption, while delivery of larger quantities of planting material to small-scale producers within a village slows disadoption of iron-biofortified beans. Informal dissemination within social networks and access to extension are also major drivers of rapid adoption. In addition, households whose main decision maker for bean production is a woman, has some formal education, and more years of experience growing beans disadopt iron-biofortified beans more slowly than other households. These findings provide evidence that current efforts to promote iron-biofortified crops have been successful and are expected to inform future development of sustainable and cost-effective delivery models for biofortified crops in Rwanda and elsewhere.     

Estimating impact of cassava research for development approach on productivity,uptake and food security in Malawi

Cassava in Malawi is the second most important staple food crop after maize. This paper assesses the impact of agricultural research for development approach in Malawi on cassava yields, per capita area planted to cassava and household calorie intake from cassava and maize. Given the growing interest over the past decade in agricultural research for development as an innovation systems approach for improving the delivery of research-derived benefits to smallholder farmers and having impact in Africa, this paper provides empirical evidence as to the effects of this framework. The paper concludes that Malawi’s cassava research for development has contributed to measurable gains in area planted to cassava, cassava yields and household caloric intake.