The Achievements, Deficiency and Future Work in Temporal Database

Study on Data Dependency Theory in Temporal Database

时态数据库数据依赖理论研究

However, there is no complete temporal database management system yet by now.

但是时态数据库技术的应用仍然停留在初级阶段，到目前为止还没有一个完全的时态数据库管理系统问世。

The temporal database has unique advantages in time operation and processing.

时态数据库在时间运算和处理方面有独到的优势。

Discussion on a Temporal Database System for User Information

用户信息时态数据库系统分析

Method for Distributed Simulation Data Collection Based on Temporal Database

基于时态数据库的分布仿真数据收集方法

Time processing method in the design of temporal database system

时态数据库系统设计中的时间因素处理

It succeeded to resolve the updating of tens of thousands of routing table, the shaking of complex RPR topology database, high cost of hardware storage space and the spending problem of CPU.

成功地解决了数以10万计的路由表项的更新、复杂RPR拓扑库的震荡、高成本硬件存贮空间和CPU的开销问题。

Knowledge production and frame representation are used to build rule database, status database, topology database and property database, these databases can describe all information of a substation.

该系统采用产生式知识表示法和框架知识表示法，通过在数据库中分别建立规则库、状态库、网络拓扑知识库和设备属性库来完整表述变电站的全部信息。

Unable to retrieve Global Properties from topology database.

无法从拓扑结构数据库中检索全局属性。

The document library already exists in the topology database.

该文档库已存在于拓扑结构数据库中。

Unable to find the portal site in the topology database.

无法在拓扑结构数据库中找到门户网站。

Object-oriented relationship database of power system is also designed. ③ Based on power system topology database, automatically developing network graph of power network is designed;

以电网拓扑数据库为基础，提出了一种基于网络图论技术自动生成电网网络层图形的新方法；

A topology database is designed by which topology information is easily stored, analyzed and visualized.

文中设计了一个易于存储、分析及图形化显示的拓扑数据库。

A three-step method, based on the characteristic of large space structures, using the merit of some methods of damage orientation, combining mode curvature and neural network, which solves the problem of overabundance training database in neural network, is put forward.

根据大跨度空间结构的特点，利用各种损伤定位方法的优点提出了模态曲率和神经网络相结合的三步损伤定位法解决了神经网络法中训练样本的组合爆炸问题。

Based on the local features, we calculate the Euclidean distances between the input face image and every face images in the original training database and the calculated distances are acted as the criteria of choosing the reasonable database.

基于提取到的人脸图像特征，我们分别计算输入人脸图像和原始训练库中每幅人脸图像之间的欧式距离，并将其作为挑选新的人脸训练库的标准。

Due to the limited sample set of the training database, it is difficult for all the face images are included in the training sample under non-ideal conditions.

由于数据库中的训练样本集有限，所以很难把各种非理想情况下的人脸图像都包括在训练样本中。

With the help of the training database, we can synthesize the local details according the structural information.

在训练库的辅助下，我们根据这些结构信息合成出局部细节。

Application-Oriented Talents Training Database Course System and Teaching Model Reform

面向应用型人才培养的数据库系列课程体系和教学模式改革探索

The training database, which is composed of the set of input-output data pairs, is updated after each sampling interval, and the learning-prediction is repeated thereafter.

在每一次采样时间后，由输入输出数据对构成的训练数据库将被更新，然后程序重复进行下一轮的预报.本系统的资料都储存在数据库里。

Having no restriction of main memory and record number and attribute number of training database, the algorithm can output practice and accurate decision tree.

该算法没有训练数据库需存储于内存的限制，对训练库也没有记录个数及属性个数的限制，能生成简练、精确的决策树。