查询词典 data point

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

At the present stage, the retrieve measure and emphasis that are needed to summarize experience include:(1)collecting and arranging data according to the strategy of rescue by stages;(2)enhancing experience summarization of prehospital care;(3)collecting hospital data of disaster area according to administrative area;(4)enhancing summarization of complete data of patients with head injury,thoracoabdominal injury and shock;(5)enhancing summarization of data of spot and interhospitals transport;(6)setting up national or regional system for collecting data.

加强经验总结现阶段的弥补措施和重点包括：(1)按照分级救治的策略收集整理资料；(2)努力挖掘现场救治的经验；(3)按行政区域收集灾区内医院资料；(4)收集颅脑损伤、胸腹损伤和休克伤员等的完整数据；(5)加强总结现场转运和院间转运的资料；(6)建立全国或区域性的卫生主管部门或行业协会牵头的资料收集体系。

For strong convective weather , it classified all historical sample events into 4 weather patterns (like northwest , trough area ,west wind and southwest current), established 4 characteristic fields of 400hPa height of HLAFS , then according to the principle of the pattern match calculate and compare the real-time HLAFS forecast products-2-using the similar method inside the big and small key areas , establish forecast equation , finally gain conclusion .To duststrom weather, the historical samples were sorted into duststrom and severe duststrom types in 5 regions (they are whole area, west, central, middle-west and middle-east of Inner Mongolia ),moreover set up different sample databases about ECMWF fields (including 500hPa height, 850hPatemperature and sea-level pressure).In order to making duststrom forecast at different time level , we first filtered the real-time data by FAX data ,and then used the method of similar range degree to compare the historical data to the actual data of ECMWF .To precipitation weather ,they were divided into 2 types that suit or unsuit airplane artificial precipitation stimulation in line with their emergence time and district .The appropriate weather physical factors come from T106 were chosen to establish the artificial precipitation stimulation prediction model . In the actual application , we can get prediction result as long as use the real-time forecast data of T213 in the prediction model .

针对强对流天气将历史样本天气分为西北气流型、槽区型、西风气流型和西南气流型等4个类型，并建立其HLAFS资料400hPa四种特征场，按照模板匹配的原理，用相似分析方法在大、小两个关键区中对实时HLAFS预报产品进行计算、比较，再建立预报方程，得出结论；对沙尘暴天气将其按区域分为全区、西部、中部、中西部以及中东部5类，再按强弱分别分为强和一般2类，建立ECMWF的3个场(500hPa高度场、850hPa温度场和海平面气压场)的历史资料库，在用传真资料消空之后，用相似离度方法计算实时ECMWF资料，做出不同时次的预报；对降水天气按出现时间和区域分为适合和不适合飞机增雨作业2类，选择T106资料中恰当的气象物理量因子，用BP神经网络算法建立人工增雨降水预报模型，实际应用中将实时T213相关预报资料代入预报模型即可。

Meanwhile the results also showed that the main cause of which the GAME reanalysis data being better than the NCEP reanalysis data is the GAME reanalysis data including the sonde data of the GAME but not the different assimilation modes of the two reanalysis data.

通过对GAME外场试验期和非试验期的GAME与NCEP两组再分析资料进行对比分析，我们得到，GAME再分析资料优于NCEP再分析资料的主要原因是GAME的资料同化系统中加入了包括HUBEX等气象科学试验的探空加密观测资料。

ABSTRACT With the rapid development of computer and data warehouse techniques, large amount of data is stored. The rapid growth demand for extracting, understanding and assimilating useful knowledge from the growing mountains of data outpaces the traditional methods of data analysis, which leads to the emerging field of knowledge discovery in databases and data mining.

随着计算机技术和数据仓库技术的快速发展，存储的数据急剧增长，而传统的数据分析和查询方法已经不能满足人们对隐含在数据中的知识的渴求，数据库知识发现和数据挖掘应运而生，并得到迅速发展。

From this case, in the assessment, the data of several different time intervals are taken and corresponding confidence levels given, and, employing blind values to express monitoring data and perambulating inspection results, the process method of blind information is applied to the practice of comprehesive assessment. With the observation items in Xiaolangdi Project, the influence factors determing the assessment result are described in the form of blind data. The data are processed according to the blind data algorithms and some scientific and reasonable assessment results are acqired, and the process method overcomes the defect of traditional numerical model, viz., too definitive description of information.

基於此，在综合评判中选取多个不同时间段的数据并赋以相应的可信度，利用盲数表达监测数据和巡视检查结果，将盲信息的数学处理运用到土石坝安全综合评判的工程实例中，并运用盲数运算法则进行盲数处理的探讨，得到了有一定参考价值的评判结果，并克服了传统的数学模型信息描述过於绝对化的问题。

Aiming at the actual situation that there is a mass of daily operation data kept in enterprise databases and the developing trend of domestic AIS, a data organizing structure of the Data Warehouse applied to accounting information analysis and a method of data superadding are described. Choosing Star Schema as multi dimension analysis model, OLAP is applied to data operations to achieve decision analysis.

针对企业数据库中已保存了大量日常业务数据的现况和我国会计信息系统向管理型、企业化发展的趋势，提出将数据的信息型处理与事务型处理分离，构建基于数据仓库的企业管理信息系统，设计了一种面向会计信息分析的数据仓库的数据组织结构，给出数据追加的方法，以星型模型为多维分析模式，运用OLAP对数据进行各项操作，实现决策分析

The system makes use of the procedure design method that face to the object in design process, renewing the data, the data inputs, the data checks to seek, the data tidies up to output with data etc.

系统在设计过程中利用面向对象的程序设计方法，将数据更新、数据输入、数据查找、数据整理与数据输出等多项功能集为一体。

This thesis aimed at this hotspot, also one of the important regions during the Ninth-and Tenth-Five-Year-Program periods of Chinese Antarctic research. It made use of Radio Echo-Sounding data, surface horizontal ice flow velocity data, digital elevation model data, surface mass accumulation data and the data concerning melting at the bottom of Amery Ice Shelf , to study the grounding line, mass balance, and ice kinematic characteristics of grounded ice sheet and floating ice shelf respectively.

本论文瞄准国际上的这一研究热点地区，同时也是我国&九五&及&十五&期间的南极研究重点地区，利用无线电回波测厚数据、冰面流速数据、数字高程模型数据、冰面物质积累数据及冰架底部融化数据等，对该地区的接地线、物质平衡、陆地冰盖和漂浮冰架的冰川运动学特征等进行了研究。

By analyzing the syntax of triggers, summarizing the relation of data, combining the practical application,the relation of data's trigger is obtained That is data's transform of different database system , different disposal of same format's data , amalgamation of different format's data and existent relation of cascade connection .

为了提高触发器性能，对触发器的语法进行剖析、分解，数据关系应用进行归纳并结合大量的实践应用，得出数据触发关系主要有：不同数据库系统之间的数据转换、同类数据进行不同处理、不同数据融合到一起和数据之间存在的级联关系。

Vishnu entered a dark fourth dimensional dream that did not support his field or continued life.

毗瑟挐进入了一个第四密度的黑暗梦想，那里并不支持他的能量场或继续生命。

Leaders and decision-making persons use it to collect the data, including the information of unit work, handing in fee, oweing fee, prepaying fee,changing and afterpaying and account transfering of joining-insurance employee, and account paying of all kinds of insurances from hospitalization insurance institutions.The collected data is picked up, organized, switched and showed to user.

该子系统主要面向各级领导、决策分析人员；从各个医疗保险经办机构和定点医疗机构采集数据，包括在各个医疗保险经办机构处理的单位办公信息，单位缴费、欠费、预缴费信息，参保职工变更信息，参保职工增减变动信息，参保职工补缴信息，参保职工帐户划拨信息：包括各定点医疗机构处理的各险种帐户支出信息，各险种的统筹金支付信息等；将采集的数据提取，组织和转换，然后展示给用户。