查询词典 data-base

Network information processing transfers the majority of processing and computing works into WSN based on original data collection. A mass of incomprehensible original data is extracted and inferred into meaningful and consultable data to some certain users. Meanwhile, by network information processing, the data transmission account and latency are decreased; the energy efficiency and data accuracy are increased.

传感器网络的网内信息处理技术在原始采集数据的基础上，将大量的信息处理和计算移植到传感网内部进行，从海量的、杂乱无章的、难以理解的原始数据中抽取并推导出对于某些特定的用户来说具有特定意义和判决参考价值的数据。

It describes mainly the process of systemdesign, including whole design, detail design, database design , security design, data structure and data code scheme, It introduces in detail how to create a graphic file of pipeline data on the MicroStation platform, and the exchange of data between the MicroStation and other GIS application software, At the same time, it introduces how to realize popular manage mode of GIS data on the MicroStation GeoGraphics, namely integratinggraphics and attribute.

本文在分析长沙市地下管线数据现状和目前数据管理情况的基础上，指出建立长沙市城市地下管网信息系统的必要性和紧迫性，阐述了系统的设计过程，包括总体设计、详细设计、数据库设计和安全设计，讲述了系统的数据组织方式及数据编码方案，并详细介绍在MicroStation平台下如何处理数据生成管网图形文件，阐述了系统实现的方法、过程以及与其它系统如何实现数据交换，也介绍在MicroStation GeoGraphics下如何实现当今GIS较为流行的数据管理模式：图属一体化。

According to the order, the data of Caragana Korshinskii Kom is about 6.07 J/cm~2, 23.67 MPa, and 1787.98 MPa separately, and the data of Vitex is about 11.78 J/cm~2, 48.06 MPa and 3544.36 MPa separately. Additionally, the data of Fourfold Acacia is about 10.09 J/cm~2, 40.78 MPa and 2304.87 MPa , whereas the data of Grewia biloba var.parviflora is about 8.47 J/cm~2, 65.88MPa and 2523.88MPa respectively. The impact toughness four shrubs is in the bound of the data of wood in China, but the compressive strength and compression elastic modulus parallel to grain are some small than those of ordinary wood.

柠条的冲击强度为6.07J/cm~2，顺纹抗压强度为23.67MPa，顺纹抗压弹性模量(来源：AB75C论文网www.abclunwen.com)为1787.98MPa；荆条的冲击强度为11.78J/cm~2，顺纹抗压强度为48.06 MPa，顺纹抗压弹性模量为3544.36MPa；四倍体刺槐冲击强度为10.09 J/cm~2，顺纹抗压强度为40.78 MPa，顺纹抗压弹性模量为2304.87 MPa；扁担木的冲击强度为8.47J/cm~2，顺纹抗压强度为65.88MPa，顺纹抗压弹性模量为2523.88 MPa。

Architecture of the data integration system for the distributed and heterogonous data resources was proposed based on the grid, through which the application can find and bind the data resource at the moment of need. And in the processing of choosing he data resources, the model based on Qos was adopted, which can avoid the fail of data resources effectively.

在利用现有的访问网格中异构数据源方法的基础上，提出了基于网格服务的异构数据源集成体系结构，可以在应用过程中动态绑定数据源；同时在选择数据服务的时候采用基于Qos的选择模型，可以有效的避免服务失效的现象。

To analyze and compare the characters of Fuzzy c-Means clustering and artificial immune network aiNet clustering, conclude that Fuzzy c-Means clustering does not work well if the underlying classes or clusters deviate strongly from hyperspherical structures, aiNet is capable of reducing redundancy, describing data structure, including the shape of clusters by experiments on relatively gathering data set, scattering data set, annular data set and corkscrew data set.

分析比较了模糊C 均值聚类算法FCM 和人工免疫网络aiNet 聚类算法的特性，通过它们对相对集中数据、稀疏分散数据、环状和螺旋分布数据聚类来进行比较，得到当遇到潜在的类或簇背离超球面结构时，FCM 算法表现不佳，而aiNet 可以很好的发现数据的内在特征，减少数据中的冗余、描述数据结构和聚类形状，表现良好的适应性。

Nextly, develop a fault diagnosis data collecting system which solved real-time dataacquisition in the power system fault diagnosis, the data message is analysed in detail andextract the data required in fault diagnosis, this system can not only collect data but alsotransmit the data information to attemper and provide a necessary condition for electric powersystem fault diagnosis On-line.

其次，开发电力系统故障诊断数据信息采集系统，该系统解决了电力系统故障诊断过程中故障特征信息很难实时获取的问题，同时对数据报文进行了详细的分析，提取出故障特征信息，该系统不但可以采集数据，而且还可以将数据信息实时传送至调度，为电力系统大规模在线故障诊断提供了必要的条件。

The method comprises A: separately configuring different common channel priority indication for different service data stream transmitted on same dedicated service channel; B: according to sequence from high to low of public channel priority indication for different data stream, priorly scheduling public channel high priority indication service data stream for transmitting at every moment; C: if service data stream of low common channel priority indication being not scheduled in a preset reference time period, then upgrading the service data stream common channel priority indication, then return to B.

分别为在同一专用业务信道上传输的不同业务数据流配置不同的公共信道优先级指示；B。在每一时刻，所述专用业务信道按照不同业务数据流的公共信道优先级指示由高至低的顺序，优先调度公共信道优先级指示高的业务数据流进行传输；并C。预设一参考时间段，若公共信道优先级指示低的业务数据流在所述参考时间段内总没有得到调度，则将该业务数据流的公共信道优先级指示升高，然后返回B。

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。

The method of prediction on stochastical simulating 3D parameter field of rock mechanics is brought forward in this paper. Namely, rock mechanics parameters- curve obtained by known and limited conventional log materials is took as inputs of hard data;and seismic attribute data body, hydrating of mud shale and rock environmental parameters data is took as constraint of soft data. By simulating stochastically through optimizing algorithm of Sequential Gauss Simulation,dynamical data field of rock mechanics parameter of three-dimensional space are gotten, then log response of rock mechanics parameters in position of any point in space is predicted.

提出三维岩石力学参数场随机模拟预测的方法，即以已知有限的常规测井资料计算出来的岩石力学参数曲线作为硬数据输入，以已知地震属性数据体及泥页岩水化和岩石环境参数数据作为软数据约束，选择序贯高斯模拟方法，随机模拟得到动态规律变化的岩石力学参数的三维空间数据场，然后由岩石力学参数的三维空间数据场预测空间任一位置的岩石力学参数在井上的测井响应，并把该反映动态规律变化的测井响应按照油田勘探开发的要求输出成特定格式，供生产和工程上使用。

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。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。