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1Report
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4Conference
المؤلفون: Dong, Yinhuan, Arslan, Tughrul, Yang, Yunjie
المصدر: 2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
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5Academic Journal
المؤلفون: Ullah, Rahmat, Dong, Yinhuan, Arslan, Tughrul, Chandran, Siddharthan
المصدر: IEEE Transactions on Microwave Theory and Techniques ; volume 71, issue 9, page 4012-4026 ; ISSN 0018-9480 1557-9670
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6Conference
المؤلفون: Dong, Yinhuan, Arslan, Tughrul, Yang, Yunjie
المصدر: 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
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7Conference
المؤلفون: Dong, Yinhuan, Arslan, Tughrul, Yang, Yunjie, Ma, Yingda
المصدر: 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
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8Academic Journal
المؤلفون: Dong, Yinhuan, Arslan, Tughrul, Yang, Yunjie
المساهمون: University of Edinburgh
المصدر: IEEE Sensors Journal ; volume 22, issue 6, page 5199-5209 ; ISSN 1530-437X 1558-1748 2379-9153
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9Academic Journal
المؤلفون: Dong, Yinhuan1 (AUTHOR) yinhuan.dong@ed.ac.uk, He, Guoxiong1 (AUTHOR), Arslan, Tughrul1 (AUTHOR) yinhuan.dong@ed.ac.uk, Yang, Yunjie1 (AUTHOR), Ma, Yingda1 (AUTHOR)
المصدر: Sensors (14248220). Apr2023, Vol. 23 Issue 8, p4095. 18p.
مصطلحات موضوعية: *HUMAN fingerprints, *KRIGING, *DATABASES, *CROWDSOURCING
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10Academic Journal
المؤلفون: Dong, Yinhuan1 (AUTHOR) yinhuan.dong@ed.ac.uk, Shi, Duanxu1 (AUTHOR), Arslan, Tughrul1 (AUTHOR) yinhuan.dong@ed.ac.uk, Yang, Yunjie1 (AUTHOR)
المصدر: Algorithms. Dec2022, Vol. 15 Issue 12, p464. 14p.
مصطلحات موضوعية: *WIRELESS Internet, *SMARTPHONES, *CONSUMERS, *TIME measurements, *WIRELESS LANs
الشركة/الكيان: GOOGLE Inc. GOOG
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11Dissertation/ Thesis
المؤلفون: Dong, Yinhuan
المساهمون: Arslan, Tughrul, Yang, Yunjie, Jia, Jiabin
مصطلحات موضوعية: mobile indoor positioning, machine learning-based approaches, Data-driven approaches, global navigation satellite system (GNSS), low penetration of GNSS, location-based services in indoor scenarios, Deep learning, indoor positioning systems, indoor environmental signals, magnetic field, WiFi, magnetometer in smartphones, user trajectory construction, magnetic field-based fingerprinting, detecting magnetic disturbance using unsupervised learning, statistical features from smartphone magnetometer measurements, non-line-of-sight (NLOS), Received Signal Strength (RSS), WiFi Received Signal Strength (RSS), WiFi Round-trip Time (RTT), WiFi fingerprinting, pre-collected WiFi fingerprints, multivariate Gaussian process regression (MGPR), Multimodal Graph Fingerprinting, electromagnetic field (EMF)
وصف الملف: application/pdf
Relation: Y. Dong, T. Arslan, and Y. Yang, “Real-time nlos/los identification for smartphone-based indoor positioning systems using wifi rtt and rss,” IEEE Sensors Journal, vol. 22, no. 6, pp. 5199–5209, 2021; Y. Dong, T. Arslan, and Y. Yang, “Magnetic disturbance detection for smartphonebased indoor positioning systems with unsupervised learning,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1–11, 2022; Y. Dong, D. Shi, T. Arslan, and Y. Yang, “Error investigation on wi-fi rtt in commercial consumer devices,” Algorithms, vol. 15, no. 12, p. 464, 2022. (invited; Y. Dong, G. He, T. Arslan, Y. Yang, and Y. Ma, “Crowdsourced indoor positioning with scalable wifi augmentation,” Sensors, vol. 23, no. 8, 2023. (invited); Y. Dong, T. Arslan, Y. Yang, and Y. Ma, “A wifi fingerprint augmentation method for 3-d crowdsourced indoor positioning systems,” in 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2022, pp. 1–8; Y. Dong, T. Arslan, and Y. Yang, “An encoded lstm network model for wifi-based indoor positioning,” in 2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2022, pp. 1–6; Y. Dong, T. Arslan, and Y. Yang, “A Multimodal Graph Fingerprinting Method for Indoor Positioning Systems,” in 2023 IEEE 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2023, pp. 1–6; https://hdl.handle.net/1842/41451; http://dx.doi.org/10.7488/era/4183