دورية أكاديمية

Indoor Positioning and Fingerprinting:The R Package ipft

التفاصيل البيبلوغرافية
العنوان: Indoor Positioning and Fingerprinting:The R Package ipft
المؤلفون: Sansano-Sansano, Emilio, Montoliu Colás, Raul, Belmonte-Fernández, Óscar, Torres-Sospedra, Joaquín
بيانات النشر: The R Foundation
سنة النشر: 2019
المجموعة: Repositori Universitat Jaume I (Repositorio UJI)
الوصف: Methods based on Received Signal Strength Indicator (RSSI) fingerprinting are in theforefront among several techniques being proposed for indoor positioning. This paper introducesthe R packageipft, which provides algorithms and utility functions for indoor positioning usingfingerprinting techniques. These functions are designed for manipulation of RSSI fingerprint datasets, estimation of positions, comparison of the performance of different positioning models, andgraphical visualization of data. Well-known machine learning algorithms are implemented in thispackage to perform analysis and estimations over RSSI data sets. The paper provides a descriptionof these algorithms and functions, as well as examples of its use with real data. Theipftpackageprovides a base that we hope to grow into a comprehensive library of fingerprinting-based indoorpositioning methodologies.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
تدمد: 2073-4859
العلاقة: The R Journal, 2019, vol. 11, núm. 1, p. 67-90; This work has been partially funded by the Spanish Ministry of Economy and Competitivenessthrough the "Proyectos I + D Excelencia" programme (TIN2015-70202-P) and by Jaume I University"Research promotion plan 2017" programme (UJI-B2017-45).; https://journal.r-project.org/archive/2019/RJ-2019-010/index.htmlTest; SANSANO, Emilio, et al. Indoor Positioning and Fingerprinting: The R Package ipft. The R Journal, 2019, vol. 11, núm. 1, p. 67-90; http://hdl.handle.net/10234/185365Test
الإتاحة: http://hdl.handle.net/10234/185365Test
حقوق: © The R Foundation ; Atribución 4.0 Internacional ; http://creativecommons.org/licenses/by-sa/4.0Test/ ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.2B2B440C
قاعدة البيانات: BASE