指纹数据融合的NTRIP流可用性

Filippo Basso, J. Rodrigues, Jaime Lloret
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引用次数: 1

摘要

结合不同类型的评估,如用户反馈来源,通常是通信软件和需要个性化或统计定制的几个应用领域中必要的优化步骤。本文介绍了一种指纹融合方法,在一组已知的信息检索数据融合方法中识别出最优算子;即使确定该方法是为了解决与识别来自卫星系统的差分位置数据的最佳流服务器相关的问题,所提出的模型和所遵循的方法定义了一种多学科方法,可以利用信息检索数据融合方法在几个实验领域中使用。开发了一个移动原型,并利用仿真数据对该方案进行了实验和评估,结果良好,确定了一个优于加权CombSUM和CombMAX的特定表示线性算子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fingerprinting data fusion for NTRIP streaming availability
Combining evaluations of different kinds, like of user feedback origin, is often a necessary optimization step in communications software and in several applied areas that require personalized or statistical customization. This paper is introducing a fingerprinting fusion approach to identify the optimal operator inside a family of well known and identified as suitable information retrieval data-fusion methods; even if the approach was identified to address an issue related to the identification of the optimal streaming server for differential positional data from satellite systems, the model presented and the methodology followed define a multidisciplinary approach that can be utilized in several experimental areas utilizing information retrieval data-fusion methods. A mobile prototype was developed and simulation data was utilized to experiment and evaluate the proposal, with good results, identifying that for the specific representation a linear operator that outperforms weighted CombSUM and CombMAX.
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