Compatibility study for polymer blends based on MesoDyn calculations

Bin Chen
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Abstract

The expectations for knowing the outdoor position is increasing along with the demand for location based service(LBS). This paper considers the problems of fingerprinting localization in cellular mobile network base on RSS observations. First, we create a mobile location signal space database as radio map. And then we introduce a new localization method called spatial-temporal localization method to improve the localization accuracy. This method combines the advantage of both the spatial localization method and the temporal localization method.
基于MesoDyn计算的聚合物共混物相容性研究
随着对基于位置的服务(LBS)的需求的增加,人们对户外位置的期望也在增加。本文研究了基于RSS观测的蜂窝移动网络指纹定位问题。首先,我们创建了一个移动定位信号空间数据库作为无线电地图。在此基础上,提出了一种新的定位方法——时空定位方法,以提高定位精度。该方法结合了空间定位方法和时间定位方法的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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