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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Deep Learning Localization Algorithm Integrating Attention Mechanism in Database Information Query

Author 1: Yang Li
Author 2: Xianghui Hui
Author 3: Xiaolei Wang
Author 4: Fei Yin

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2023.0140482

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 4, 2023.

  • Abstract and Keywords
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Abstract: This study aims to solve the problems of traditional indoor car search positioning technology in terms of positioning accuracy and functionality. Based on database technology and deep learning technology, an LSTM model with attention mechanism was established. This model can simultaneously extract temporal and spatial features, and use attention mechanism for feature importance recognition. The entire positioning model has been designed as a triple functional entrance that includes positioning, car storage, and reverse car search, enhancing the user's coherent experience. The data results show that the root mean square error of the LSTM (Attention) model designed in the study is 0.216, and the variance is 0.092. Among similar positioning models, the index value is the smallest, while the CDF line rises the fastest and the maximum value is the highest. The research conclusion indicates that the LSTM (Attention) indoor positioning model designed in this study has better computational performance and can help users achieve more accurate positioning and vehicle navigation.

Keywords: LSTM; attention mechanism; positioning; database

Yang Li, Xianghui Hui, Xiaolei Wang and Fei Yin, “Deep Learning Localization Algorithm Integrating Attention Mechanism in Database Information Query” International Journal of Advanced Computer Science and Applications(IJACSA), 14(4), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140482

@article{Li2023,
title = {Deep Learning Localization Algorithm Integrating Attention Mechanism in Database Information Query},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140482},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140482},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {4},
author = {Yang Li and Xianghui Hui and Xiaolei Wang and Fei Yin}
}


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