查询词典 data-base

In the end of this thesis, the data independent detection model of exchange ratedata stream is built. Then, the algorithm provided in this thesis is used on the model to solve the problem of detecting the abnormal data block in exchange rate data stream. Experimental data are also provided.

最后，本文根据实时汇率数据流的特点，建立了数据点相互无关的实时汇率数据流的检测模型，然后采用本文提出的数据流的变化检测算法解决实时汇率数据流的异常检测问题，并给出了实验结果。

The method includes acquiring with the frequency meter the tested clock signal and measuring its frequency; sending the tested frequency value to the data acquisition and processing module for calculation and processing regularly; and processing the frequency data comprehensively in the data processing output module and displaying output figure and historical data.

所述的方法包括：首先，频率计采集待测时钟信号，并测试其频率值；然后，频率计定时将测试得到的待测时钟信号的频率值发送给数据采集处理模块进行计算处理；最后，数据输出处理模块对接收数据采集处理模块处理后的频率数据进行综合处理，并将获取的图形数据和历史数据显示输出。

In a database the concept of an example might change along with time which is known as concept drift When the concept drift the classification model built by use of old data is unsuitable for classify new data Therefore concept drift has become a hot issue in data mining in recent years Although many algorithms had been proposed to resolve this problem they can not provide users with the reason of concept drift However a user might be very interested in such rules For example doctors want to find what makes disease change; researchers want to know the reason of the variety of the weather; and decision makers would like to understand why a customer's shopping habit change In this thesis we propose a Concept Drift Rule mining Tree called CDR-Tree to solve this problem CDR-Tree can not only find the rule of concept drift also build the prediction model for both old and new data at the same time

无论在大型资料库或现实生活中，同一资料样本的概念有可能会随著时间的递移而改变，也就是产生所谓的概念漂移。当样本发生概念漂移时，由旧有资料所建构的分类模组将不再适用於预测新获得的资料，因此，近年来概念漂移已成为资料探勘中一项热门的研究议题。虽然已有？多学者提出不同的技术来解决概念漂移的问题，但是这些方法都是利用修正或重建的方式来产生适合新资料的预测模组，并无法提供造成概念漂移的原因。然而对使用者而言，其感兴趣的可能正是这些引起概念漂移的规则，如医生可能想了解引起疾病变化的主因、学者会想要知道气候转变的规则、或是决策者想找出顾客购物习惯改变的因素等。因此，本论文提出概念漂移规则探勘树( Concept Drift Rule mining Tree )，简称CDR-Tree，来解决这个问题。CDR-Tree不但能探测出造成概念漂移的主要原因，亦能同时建立新旧资料的预测模组以供决策者运用使用。

In order to reduce the conflict of L1P in CMT,we propose the policy of logic partition L1P Cache by n power of 2 and the competing loop lock.Now the fairness researchs always need single thread sample phase,we propose a novel fairness policy:FROCM,it doesn\'t need single thread sample phase.We propose ring cooperant L1 data Cache,which can reduce both the complexity of the design and the load of L2 Cache.We also propose a method to exchange threads dynamicly based on fast-shared data pool,it can detect the data consanguinity of two threads in real time and exchange them into one core rapidly.At last,we design and implement a dual-core and dual-thread VLIW prototype YHFT DSP/DS based on the above studies.In order to enhance the bandwidth of data path and reduce the delay of critical path delay of CMT processor,we design a 10R/6W register file full customly.

为了减小多线程运行时指令Cache的冲突，本文提出了二幂等分指令Cache策略和循环锁竞争机制；现有对CMT处理器公平性的研究常常需要中断其它线程进行单线程采样，针对这个问题本文提出了多线程公平性策略FROCM；本文提出了环形协同数据Cache结构，以解决CMT处理器中共享存储体负载重，冲突大的问题；本文还提出了基于快速共享数据缓冲池的线程动态交换技术；最后本文实现了一个双核同时多线程芯片原型YHFT DSP/DS。

For example, if a register isconnected to the data bus in an 8-bit machine. eachline of the bus connects to register.Because the databus will be an 8一bit bus, there are 8-bit Flip-flopsthat form the register, When there is information onthe data bus,and a particular register is selected toreceive data, all the Flip-flops will store data simultancously. This kind of register is refer is referred to as aparallel register.

例如，如果寄存器被联接到一台8位机的数据总线上，那么，该总线的每一条线均联接到寄存器上，因为数据总线是8位总线，所以有9个触发器来形成寄存器，当在数据总线上有信息，并且选择了一个特定的寄存器来接收数据时，那么所有的触发器将同时存储数据，这种形式的寄存器叫做&并行寄存器&。

Database establishment in this thesis mainly develops the research of database content and structure. On the basis of National Maritime Research Institute database of winds and waves, the third chapter analyses the structure of its data table, determines the connection of different statistic data, formes the basic framework of database, and then compiles data management program, adds data import function, finally makes the database become a practical tool for ship design.

数据库的建立主要开展数据库内容及结构的研究，在日本海事技术研究所风、波浪数据库的基础上，分析其数据表格结构形式，确定各种统计数据的衔接问题，形成数据库的基本构架形式；进而编制和完善管理程序，添加数据导入功能，最终形成船舶设计的实用工具。

In our work here,a model of data mining was developed,which got its foundation from Artificial Neural Networks.hi fact,this kind of model might be called an infant protocol for DSS,which accepts final users raw data, integrates various sources of data,cleanses them from garbages,then normalizes them into an intermediatary data file.

我们在这里设计并实现了一个基于具有模糊式输出的人工神经网络的数据挖掘模型，这个模型实际上是一个具有智能的决策支持系统的雏形，能够对用户所给的原始数据进行处理，利用已经获得的知识对用户数据进行判断，并以适当的方式向用户解释系统决策的结果。

Along with enterprise paying more attention to the importance of quality detection and detection instruments using popularly,a lot of information is stored, so it is urgent to build dealing with detective data information system. This system could get timely product quality data, and grasp the quality change trend in order to support effectively maintenance of old products and decision-making for new product development, as well as help the quality detection personnel extricating of repeated , burdensome statistic and handworked work,This paper firstly bring forward storing tabacco-quality-detection data by using database technology,aiming at data storing of product detection and further analyzing demand.

随着企业对质量检测重要性认识的不断加大，检测仪器的大量使用，许多企业已经积累了大量的检测数据，迫切需要一套储存、加工处理分析检测数据的信息系统，把质量检测人员从重复繁杂的统计计算和手工作业中解脱出来，获取及时的产品质量数据，实时把握产品质量变化趋势，以求更有效地支持老产品的维护和新产品开发的战略决策。

It directly decides the oil output of our country. In the process of oil exploration and exploitation, a great deal of data can be collected. These data form 3D data sets, for instance, density sets, hole degree, and flow sets of high-pressure shoot in one block. At present, the usual adopting method is to draw isoclines of data sets, and ask the career men to analyze and explain them.

在石油勘探、开发过程中，会采集到大量的数据，形成三维数据场，如某一区块的密度场、孔隙度场、高压射流的流场，目前使用这些数据时，通常采用的方法是画出数据场的等值线，然后由专业人员进行分析、解释。

In practical work, we can fit the empirical equation of regression according to least square method when we use the old data, and needs to make the Real-time treatment for new acquired data in the light of the equation, namely, we need combine new acquired data with the original data, then infer the new empirical equation of regression.

在实际工作中，当我们用旧数据根据最小二乘法拟合出经验回归方程后，常常获得一些新的数据，需要对新获得的数据进行实时处理，即要把它和原有数据结合在一起算出新的经验回归方程。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新