ldq

Differential quadrature method ( DQM ) and local differential quadrature method ( LDQ ) are a kind of meshless methods .

微分求积法（DQM）与局部微分求积法（LDQ）是无网格法的一种。

LDQ that exists in the system for a period of time is called Location-DependentContinuous Query ( LDCQ ) .

当LDQ在系统中持续一段时间时就称为位置相关连续查询（LDCQ）。

Because of the user 's mobility and the location dependency of data , new challenge has been brought to cache replacement strategy for Location Dependent Query ( LDQ ) .

在位置相关查询（LDQ）中由于用户的移动性和数据的位置相关性，给缓存替换策略带来了新的挑战。

Firstly , this dissertation introduces the concept , makeup and the characteristics of mobile computing , gives the concept of Location Dependent Data ( LDD ) and Location Dependent Query ( LDQ ) respectively .

本文首先介绍了移动计算的概念、组成和特点，对移动计算环境下的位置相关数据（LDD）和位置相关查询（LDQ）有关的概念进行了总结。

The experimental results show that new model and replacement policy combining with self-study of neural network are more flexible and effective on reducing average time of response and network-load for use in location-dependent query ( LDQ ) than FAR model .

实验证明，通过定义新的语义缓存模型，采用新的查询替换策略，再结合神经网络的自学习特性，使得RBF-FAR模型更加灵活，并有效地减少网络负载和查询时间。