과제정보
This research was supported by University Innovation Support Project 2023.
참고문헌
- C. Zhou, J. Liu, M. Sheng, Y. Zheng, and J. Li, "Exploiting Fingerprint Correlation for Fingerprint-Based Indoor Localization: A Deep Learning Based Approach," IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 5762-5774, Jun. 2021. https://doi.org/10.1109/TVT.2021.3075539
- J. N. Lee, H. Y. Kang, Y. T. Shin, and J. B. Kim, "Indoor Positioning Algorithm Combining Bluetooth Low Energy Plate with Pedestrian Dead Reckoning," Journal of the Korea Institute of Information and Communication Engineering, vol. 22, no. 2, pp. 302-313, Feb. 2018. https://doi.org/10.6109/JKIICE.2018.22.2.302
- T. Y. Jung and E. R. Jeong, "Recurrent Neural Network Based Distance Estimation for Indoor Localization in UWB Systems," Journal of the Korea Institute of Information and Communication Engineering, vol. 24, no. 4, pp. 494-500, Apr. 2020. https://doi.org/10.6109/JKIICE.2020.24.4.494
- J. H. Lee, B. G. Park, Y. K. Kim, J. H. Choi, J. T. Kim, and K. H. Bae, "Common Chord based Trilateration Correction Algorithm and Hybrid Positioning System Development," Journal of the Korea Institute of Information and Communication Engineering, vol. 24, no. 3, pp. 448-458, Mar. 2020. https://doi.org/10.6109/JKIICE.2020.24.3.448
- C. G. Hwang, C. P. Yoon, and D. J. Kim, "Indoor positioning method using WiFi signal based on XGboost," Journal of the Korea Institute of Information and Communication Engineering, vol. 26, no. 1, pp. 70-75, Jan. 2022. https://doi.org/10.6109/JKIICE.2022.26.1.70
- H. J. Bae and L. Choi, "Large-Scale Indoor Positioning using Geomagnetic Field with Deep Neural Networks," in Proceedings of 2019 IEEE International Conference on Communications (ICC), Shanghai, China, pp. 1-6, 2019.
- R. H. Kim, S. H. Oh, and J. G. Kim. "Development of an Indoor Positioning Platform for Mobile Devices Based on BLE and WkNN Method," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 9, pp. 1406-1419. Sep. 2020.
- A. Guidara, G. Fersi, F. Derbel, and M. B. Jemaa, "Impacts of Temperature and Humidity variations on RSSI in indoor Wireless Sensor Networks," in Procedia Computer Science, Belgrade, Serbia, vol. 126, pp. 1072-1081, 2018. https://doi.org/10.1016/j.procs.2018.08.044
- J. Kim and B. Gu, "Machine Learning Method based on Beacon Signal Strength Pattern for Deciding Indoor Presence of User," The Journal of Korean Institute of Information Technology, vol. 18, no. 8, pp. 1-8, Aug. 2020. https://doi.org/10.14801/jkiit.2020.18.8.1
- S. C. Kim and J. H. Kim "Optimization Method of Kalman Filter Parameters Based on Genetic Algorithm for Improvement of Indoor Positioning Accuracy of BLE Beacon," Journal of the Korea Institute of Information and Communication Engineering, vol. 25, no. 11, pp. 1551-1558, Nov. 2021. https://doi.org/10.6109/JKIICE.2021.25.11.1551
- A. Mackey, P. Spachos, L. Song, and K. N. Plataniotis, "Improving BLE Beacon Proximity Estimation Accuracy Through Bayesian Filtering," IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3160-3169, Apr. 2020. https://doi.org/10.1109/jiot.2020.2965583
- N. Singh, S. Choe, and R. Punmiya, "Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview," IEEE Access, vol. 9, pp. 127150-127174, Sep. 2021. https://doi.org/10.1109/ACCESS.2021.3111083
- M. Somvanshi, P. Chavan, S. Tambade, and S. V. Shinde, "A review of machine learning techniques using decision tree and support vector machine," in 2016 International Conference on Computing Communication Control and automation (ICCUBEA), Pune, India, pp. 1-7, 2016.
- Machine Learning in Python [Internet]. Available: https://scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
- H. A. H. Alhalabi, T. -C. Wan, L. Missif, and M. Ehalabi, "Performance analysis of the constructive interference flooding in wireless sensor networks," in 2017 8th International Conference on Information Technology (ICIT), Amman, Jordan, pp. 75-81, 2017.
- ScienceDirect - Confusion Matrix [Internet]. Available: https://www.sciencedirect.com/topics/engineering/confusion-matrix.