1) time cost dynamic regulation
时间成本动态调整
2) multiversion dynamic adjustment
多版本动态调整
1.
DMVOCC-MDA(Distributed multiversion optimistic concurrency control with multiversion dynamic adjustment) protocol was presented for processing mobile distributed real-time transaction.
协议采用多版本乐观方法,使用多版本动态调整串行次序技术。
2.
To avoid unnecessary restarts of transactions,multiversion dynamic adjustment of serialization order was adopted.
使用多版本动态调整串行次序技术,避免了不必要的事务重启动。
3) Dynamic timeslot adjusted
动态时隙调整
4) Dynamic Time Warping
动态时间规整
1.
Research of dynamic time warping approach based on path constraint;
基于路径约束的动态时间规整方法研究
2.
The method consists of a preprocessing step for multivariate dynamic data,where the magnitude dependent information is standardized,and a similarity assessment step via DTW (dynamic time warping).
采用动态时间规整 (DTW ,DynamicTimeWarping)技术 ,对动态测试样本同已知的故障模式进行相似性度量 ,充分利用发动机的过渡态特征信息 ,实现了发动机气路部件故障的定量诊断 。
3.
This paper also analyzes a classic speech recognition algorithm——dynamic time warping algorithm and makes some improvement on the weighted vioce frame templates.
利用语音信号的短时分析技术进行孤立词的单元分割，采用临界带特征矢量作为语音信号特征，分析了经典语音识别算法——动态时间规整算法，提出了对语音模板各帧加权的改进方法。
5) dynamic time warping
动态时间归整
1.
Considering the difficulties of applying mathematical models for fault diagnosis of so complicated process,as existing in power plants,a diagnosing method,based on the dynamic time warping(DTW) technique,is being proposed,which doesn t depend on mathematical models but is based on data analysis of relevant processes,and therefore is suitable for power plants.
为此,提出了一种基于动态时间归整(DTW)技术的故障诊断方法。
6) DTW
动态时间规整
1.
Fault Detection of Flight Control System Based on DTW;
基于动态时间规整的飞控系统故障诊断
2.
The system takes DSP as hardware platform,adopting the MFCC as a characteristic parameter drawing algorithm,and taking the DTW as the distinguishing algorithm,having realized Speech recognition system s.
系统以DSP5416为硬件平台,采用非线性美尔刻度倒谱参数(MFCC)为特征参数提取算法,动态时间规整(DTW)作为识别算法,实现了语音识别系统的设计。
3.
In this paper,a text-dependent speaker verification system is set up based on DTW.
以线性预测系数(Linear Prediction Coefficients,简称LPC)作为特征参数,采用动态时间规整(DTW)算法建立了一个与文本相关说话人确认系统,它基于C/S(客户/服务器)模型,采用TCP/IP,能够实现局域网上的语音登陆。
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