THE BUSINESS PLAN DECISION MODELS IN THE BUILDING ENTERPRISES

This paper discusses an important part of"The Decision Support System of Science Technology Management in Building Enterprises". It established the synthetical target system of business plan in the building enterprises, business effect prediction models, business plan decision models and their algorithm, business plan target system etc.     

The GDSS Framework of Organization-Oriented Dynamic Alliance Based on Multi-Agent

The important strategy decision making system, one of the difficult problems of the research of Group Decision Support System, is an open complex huge system, which is almost non structure and hard to construct. In order to organize and take advantage of decision making departments more effectively, this paper presents the thought of combining Multi Agent System with Dynamical Alliance and set up the GDSS Framework of Organization Oriented Dynamic Alliance based on Multi Agent after analyzing the characteristics of MAS and Dynamical Alliance. Different departments can be organized more effectively on the three layer system structure composed of the strategy layer, the tactics layer and the operation layer. The decision making layer of each department is composed of the integrate decision making subsystem, which means that the decision making layer of each department can be used solely or be a part of Dynamic Alliance to make the important strategy decision and the system gets more flexible.     

DSSAT模型在中国农业与气候变化领域应用进展

为了掌握农业转移支持决策系统(Decision Support System for Agrotechnology Transfer, DSSAT)模型在国内农业与气候变化领域的研究进展,更好地让模型在今后气候变化对农业生产影响评估和适应研究中应用,本文以近年来国内的研究和实践为基础,通过梳理模型应用的相关研究案例、方法和成果,从DSSAT 模型本地化适用性验证、数据库构建、参数订正和优化方案、气候变化影响评估及适应的应用等方面全面总结了模型的应用进展。结果表明：DSSAT模型在我国应用比较广泛,包括不同地区和不同作物之间;利用DSSAT模型研究气候变化对农业生产的影响的研究较多,研究结果比较丰富。但模型在应用中存在研究方法和结果比较分散、应用的作物种类有限、数据需求量大而实验数据有限等问题,这些都需要在今后的研究中不断完善解决。     

“玉米生产管理智能决策系统”推广应用制约因素分析

信息技术农业应用是党的十五届三中全做出的一项重大决策。本论文通过对吉林省农安县、榆树市推广应用“玉米生产管理智能决策系统”的实证研究及定性分析的基础上,利用SPSS软件借助Logit模型进行定量分析,研究得出影响农户采用“玉米生产管理智能决策系统”的决定因素,以期为农业信息技术的大规模推广应用提供理论和实践依据。     

县域水稻精确栽培决策支持系统研究与开发——以姜堰市为例

本研究运用农业信息技术原理与方法,以姜堰市为例,初步开发出了功能全面、内容丰富、现势性强、图形生产力高的基于VB 6.0和MapObjects 2.3的县域水稻精确栽培决策支持系统软件。该系统涵盖了基本苗精确定量、精确施氮、精确灌溉、精确测产及气象数据库、智能学习等内容。该系统还具有电子地图浏览导航与地理信息系统空间数据查询功能。经初步试用,系统的功能可用性、功能可靠性、易用性较强,用户满意度较高。     

县域水稻抛栽精确定量栽培决策支持系统研究与开发

为了促进抛栽水稻精确定量栽培技术生产应用,通过资料收集、决策模型构建与程序设计等,以姜堰市为例,基于Visual Basic 6.0和MapObjects 2.3,研究与开发了县域水稻抛栽精确定量栽培决策支持系统V1.0。结果表明,该系统涵盖了电子地图导航、基础数据查询、决策支持、知识园地、辅助工具和系统帮助等内容,实现了预期目标;系统界面友好、操作简便、功能全面、应用性强。经试用,系统的可用性、可靠性、易用性较强,用户满意度较高,可作为生产上推广应用水稻抛栽精确定量栽培技术的信息化优质辅助平台。     

Data Collection Based on Web Services

To construct data warehouse with heterogeneous, self-governing and distributed database system is a challenge. Two problems have to be solved: one is how to collect data from heterogeneous data sources by an effective method, the other is how to clear up and change the format of the data collected from data sources. The opening and the interact-operation property of Web Services is Analyzed. A Data Collection System based on Web Services, which communicates with heterogeneous data sources with SOAP and HTTP, has been designed. A Data Collector is introduced to clear up and to transform data with composition technology. The pivotal XML technology of transforming and loading up the data are discussed.     

基于PDA的县域水稻精确施氮决策支持 系统研究与开发

针对水稻生产上氮肥过量施用,氮肥当季利用率低等问题,以姜堰市为例,初步开发了基于PDA的县域水稻精确施氮决策支持系统。该系统是根据水稻因土精确施氮决策的要求及PDA的特性,在拓展PDA自身存储能力的基础上,基于Windows Mobile以及Embedded Visual Basic 3.0、ArcGIS 9.2与集成GPS模块而研制开发的一套农业应用软件PDA产品（V1.0）。该系统具有实时定位、按专题地图查询属性数据、因土精确施氮决策与学习辅导等功能。经试用,用户具有较高的满意度。     

安徽省地基GPS大气可降水量时空演化特征分析及应用研究

安徽地处梅雨区域,研究此区域的大气可降水量(PWV)时空分布和演化特征对理解水汽相关过程如降雨、蒸发和对流活动等起到重要的作用。笔者分析了安徽地区两个时间段(2012年6月—2012年9月和2014年6月—2014年9月)逐时GPS/PWV资料,揭示了GPS/PWV平均值和地形高度变化存在正相关。相应的GDAS资料积分得到的GDAS/PWV揭示了本区域上层大气中的PWV变化主要集中在地表到700 hPa区间。基于快速傅里叶变换(FFT)得到安徽地区6—9月份PWV具有季节性周期,13.0035天~准2周振荡等多尺度特征。进一步根据季节变化特征得出7月底是GPS/PWV值的关键转折点。最后给出了GPS/PWV和GDAS/PWV在天气预报分析中的应用研究,PWV资料对降水预报能力提高、人工影响天气、空中水资源等分析研究奠定了基础。     

基于Agent技术的玉米生产管理协同决策系统研究

针对传统农业信息系统在解决分布式网络环境下的复杂决策问题的不足,利用多Agent技术智能性、交互性、协作性的优点,应用基于UML的面向Agent的系统分析方法,提出了基于Agent技术的作物生产管理协同决策系统的设计思想和实现方法,用于实现分布式环境下的作物信息共享、软件共享、协同工作和群决策支持;本文以玉米为实验对象,结合玉米生长模拟模型和玉米知识模型,实现预测功能和决策功能的有机耦合与集成。通过开发实践分析,多Agent作物协同决策模型及系统为解决农业系统复杂问题的决策提供了新的技术手段和方法,提高了作物生长预测和栽培决策的精确性。     

An Adaptive Data Burst Assembly Algorithm in OBS Networks

Optical Burst Switching (OBS) is a promising paradigm for the next-generation Internet infrastructure. This paper proposes an adaptive dada burst assembly algorithm in OBS networks, which can adjust parameters of assembly algorithm according to the traffic arrival rate of the edge nodes in OBS networks. Also this paper proposes how to realize the adaptive data burst assembly algorithm.     

Empirical Study of the Support System of New Venture Creation

The Support System of New Venture Creation is the main parts of national and regional innovation system. At presently ,many study on the Support System are from angle of view of the macro or government ,little study from the New Venture. University Science Park in China have enough New Venture which can be the representation of New Venture Creation. The authors study the former theory ,use the method of Empirical Study, Based on the questionnaire investigation of Chongqing University Science Park, analyze different requirements of the enterprises in different sizes and different stages, and bring forward some advises.     

Design and Development of Analysis and Forecast System for the Distribution of Car

Analysis and forecast for market have become important methods of making decision in most enterprises. It is the base of analysis and forecast to effectively store and make full use of the data in the distribution. Technology of data warehouse and OLAP provides the strong function of storing and integrating data, and mathematics methods provides a series of statistics and analysis tools. Combine IT and mathematics methods in the field of analysis and forecast for the data of distribution to put forward a design and implementation plan of application system in supporting decision based on data warehouse. The design exhibits the processes how to build data warehouse and multi-dimensional data, recommends the methods of analyzing and forecasting, and shows a good integration of advanced information technology and decision science.     

A Study on Artificial Neural Networks-based Medical Equipment Demand Forecast

In order to uncover the complex relation in the inventory data and lower the inventory level, based on the idea of black box method, all factors that influence demand are identified firstly. Then an initial forecast model of BP neural networks that adopt LM algorithm is established, and is trained using hospital inventory's history data. The interrelation's information of each factor that influences demand is stored in the link weights matrix W dispersedly. The final forecast model is obtained. We use the model to forecast the demand of medical equipment in Daping hospital. Based on it, the inventory cost is reduced enormously. The theory for the inventory system can be used to make management decision.     

Algorithm for Mining Sequential Pattern

Mining sequential pattern is an important topic in the data mining research. In this paper, on the basis of recording the Ctid scheme of the set in every frequent set, the authors propose an algorithm named ISP for mining sequential pattern. In the algorithm the items and the sequence are discussed respectively, and the time join method is used to introduce the candidate sets, so the frequent sets can be gotten. The ISP algorithm takes full use of the existing and updated Ctid scheme, therefore the efficiency of the process is increased besides guaranteeing the validity of the algorithm. Comparing with the algorithm named IMSP,more efficient rules are obtained.     

Great Capacity of Data Logger Based on Virtual Instrument Technology

The Data Logger is an important secondary-instrument,which can be applied to automatic monitor and control system,and high speed local data acquisition for later analysis.The Virtual Great Capacity of Data Logger based on virtual instrument technology is a new instrument which has more advantages than the traditional Data Logger.The design method has been introduced from three ways,which includes system principle, hardware configuration and programming design, and an application example is given.This Data Logger is low cost,easy to take,also easy to operate.It can be widely used in many of actual applications.     

Real Time Monitoring System of Drilling State in the Different Places Based on Internet

On the basis of the Real Time Multi-parameter Monitoring System of Drilling Engineering, a new Internet-based Real Time Monitoring System of Drilling State in Different Places is developed. This system enables long-distance monitoring on the drilling field through the Internet. In the different places the basic data can be obtained from the drilling field, in this way the technology resource and expert resource in the different places can be taken full advantage to resolve the problem of the weak technology of the drilling team, and realize the long distance monitoring, long distance direction, and long-distance management. This system makes use of the popular network technology and data management technology, and adopts the Asp and Java to settle the key technology problem of the real time transmission and real time display.     

基于物联网的日光温室环境监测在线校准

温室环境条件特别是温度对于作物生长和发育具有十分显著的影响。日光温室调控的主要环境因子之一是温度。然而,自然环境下的光照对温度产生作用,影响空气温度的监测精度。采用机器学习中的支持向量机算法(SVM),对日光温室内的温度智能监测算法进行了研究,根据光照情况对实时监测的温度数据进行校准。通过与实验测量的数据进行对比分析,结果表明：所提出的监测方法可以较为准确地实时监测空气温度,从而无需使用隔热材料或者遮阳处理,就可以基于监测的数据更精确地对相应的环境因素进行调节。基于该方法,可采用常用的工业设备实现温室大棚内实时温度数据的监测,既可以节约设备和人力成本,又可以为温室控制提供准确的数据。     

Forecasting Method of the Slope Displacement Based on the ANFIS Model

The forecasting model of ANFIS(Adaptive Neuro-Fuzzy Inference System) is applied to forecast the displacement values at observation point of the slope at the Shilong garden of Chongqing Shizitan Hydroelectric Power Plant.The forecast results show that the errors between the forecast values and the observation values are very little.It shows that this model may be well applied for the forecast of the displacement in the deformation of the slopes.