开发者、测试人员和经理都可以通过用例名来搜索这个数据库，并在浏览器中查看相关的序列图。
Developers, testers and managers can search this database by use case name and view the related sequence diagrams in a browser.
最后，通过一个编译器和相关的支持数据库，配方构造转换成一个RecipeJAUS命令序列。
Finally, the recipe construct undergoes translation to a RecipeJAUS command sequence through a compiler and associated support database.
对于联邦语句而言，在处理序列化后的远程XML数据时，有可能会发生如下与代码页相关的问题。
For federated statements, the following code page related issues might occur while manipulating serialized remote XML data.
字符串格式操作涉及处理FormatString、寻找格式定义序列和使用这些序列对右边的操作数中的相关数据应用格式。
The string format operation involves the processing of the FormatString, looking for format specification sequences, and using these sequences to format the associated data from the right operand.
我们还计划通过常规扫描rna相关数据库，将任务单元完全自动导出以便寻找可以被分析的新奇的序列。
It is also planned to derive work units fully automated by regularly scanning RNA-relevant databases for novel sequences that could be analyzed.
由历史数据推测未来趋势的众多方法中较突出的有：时间序列法、最小平方法、指数平滑法、回归分析和相关分析。
Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.
关联度分析方法可用于卫生系统内部时间序列资料的分析，该方法对数据分布类型、变量之间的相关类型限制较少。
Incidence degree could be used to analyse time series data in health system. There is little limit about data distribution and type of variable's correlation.
通过数据相关运算，结合构造训练序列的特点，得出比较准确的频率偏移值。
Base on structure characteristics of the training sequence, a quite accurate frequency offset can be obtained through a data correlation operation.
根据序列数据制备的多核苷酸可用作检测和鉴定相关序列的试剂。
Polynucleotides prepared according to the sequence data can be used as reagents to detect and characterize related sequences.
针对在数据挖掘中采用二进制转换的方法，定义了二进制序列集的相关概念并为此提供依据。
Aiming at the method of binary system conversion in data mining, this paper defines binary system sequences set and its related concepts.
关联规则和序列模式是研究和发现事务数据库中数据项之间的相关性的方法。
Association rule and sequential pattern techniques are the methods that study and find the relationship in the items of transaction database.
本文利用日内交易的高频分时数据，研究了流动性和交易活动之间的相关性和各自的时间序列性质。
Using high frequency intra - day data, we study the correlations between liquidity and trading activity and their time series property.
而在这其中时间序列数据挖掘是面向特殊应用数据挖掘领域中比较复杂的一个分支，主要研究从大量时间序列历史数据中挖掘有价值信息的方法和相关技术。
Among these research fields, time series data mining is a rather complex branch, which is a technique that extracts the most valuable information from large amount of history time series data.
我们也涵盖了与生物学序列分析、转录组分析、计算蛋白质组学、计算代谢组学、生物-本体论及生物学数据库相关的一些基本问题。
We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases.
然后，充分考虑观测数据和其它变量的相关关系以及数据自身依赖关系，建立了观测数据序列的混合模型。
And then the combined prediction model of the Observed data is formed, which consider the correlation of the variable with the other variable and self-dependency of the variable itself fully.
根据1981-2004我国居民消费倾向的时间序列数据进行的居民消费倾向变动与社会保障实践的关系分析，表明居民消费倾向的变化也与社会保障实践紧密相关；
We can find that propensity of consumption is highly related to the practices of social security reform, according to the analysis on the time series data from 1981 to 2004.
通常情况下，序列化代码被编写为发出序列化数据，并且通常不要求与状态相关的检查和处理。
Generally, serialization code is written to emit serialization data and does not typically require state-related checking and processing.
基于ECG数据的两种相关性，该方法首先将一维ecg信号转化为二维信号序列。
A 1-d ECG data was first segmented and aligned to a 2-d data array, which fully utilizing the two kinds of correlation of heartbeat signals.
结果表明，在数据资料较长时，该方法能有效判定数据序列的线性、非线性相关特征，特别适合于复杂的海洋数据资料分析。
Result shows that the method is effective to discriminate linear and nonlinear correlation characteristics in a comparatively long data series, and suitable for analysis of complex ocean data.
通过求取相关系数平均值，避免数据采集不同步引起的计算误差，得到按照发生线路故障可能性大小排列的故障选线序列。
The average correlation coefficient is calculated to remove the errors caused by asynchronous sampling and the faulty line selection list is sorted according to the fault probability of line.
生物学中的大量数据，从序列字符串到复杂表型数据和疾病相关的数据，为现代生物学提出了一个巨大的挑战。
The myriad data in biology ranging from sequence strings to complex phenotypic and disease-relevant data pose a huge challenge to modern biology.
同时考虑样地的随机效应、观测数据的时间序列相关性及不同初植密度的混合模型模拟精度比传统的非线性回归方法模拟精度高。
The precision of mixed model considering plot random effects, time series error autocorrelation and different plantation density at one time is better than that of ordinary regression analysis method.
提出一种LSB改进算法．利用混沌序列对水印预处理，而后利用固定归一化相关嵌入图像数据低位，从而改进了传统LSB算法稳健性差的缺点。
The LSB algorithm based on spatial domain is improved. It took advantage of chaos to preprocess watermarking and to use fixation normalization mutuality to embed watermarking in LSB.
提出一种LSB改进算法．利用混沌序列对水印预处理，而后利用固定归一化相关嵌入图像数据低位，从而改进了传统LSB算法稳健性差的缺点。
The LSB algorithm based on spatial domain is improved. It took advantage of chaos to preprocess watermarking and to use fixation normalization mutuality to embed watermarking in LSB.
应用推荐