LDQ的翻译

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。

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。

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。