For fast sub trend sequence searching, a various steps algorithm is proposed based on analyzing the similarity of adjacent sub series distance.
通过分析相邻子序列趋势距离的相似性，提出一种变步长趋势子序列快速搜索算法。
The basic function, constructing way and information searching workflow of sub-module were studied, which provide base for development of learning module of virtual printing problems training system.
通过研究子模块的基本功能、构建方法和信息检索流程，为虚拟印刷故障培训系统学习模块的开发奠定基础。
Theoretic analysis and simulation indicate that the algorithm has better performance for sub-trend searching in temporal and space, and is useful in time series dynamic feature analysis.
理论分析和仿真结果表明，该算法对基于趋势表示的子序列搜索在时间和空间上都具有更优的性能，适用于时间序列的动态特征分析。
In the experiment, a mountain-climbing searching method and a curve-fitting method were employed to determine the integral pixel displacement and the sub-pixel displacement respectively.
实验中分别应用了爬山搜索法和相关系数拟合法来分别搜索整像素的位移和亚像素的位移。
The main idea of an algorithm using Multidimensional Range Searching(MRS) was introduced and the technology about how to realize several sub-problems among this algorithm was expatiated on.
介绍了多维范围查找算法思想，设计了其中几个子问题的实现技术。
In the resource-searched sub-module it uses the limited depth-breadth priority algorithm to search the resources automatically. Thus the searching is self-determination and intelligence.
在信息搜索子模块部分，采用有限区域深度——广度优先的算法进行自主搜索，使搜索具有一定的自主性和智能性；
In the resource-searched sub-module it uses the limited depth-breadth priority algorithm to search the resources automatically. Thus the searching is self-determination and intelligence.
在信息搜索子模块部分，采用有限区域深度——广度优先的算法进行自主搜索，使搜索具有一定的自主性和智能性；
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