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001-es BibID:	BIBFORM088458
035-os BibID:	(WoS)000503458100081 (Scopus)85075534116
Első szerző:	Tamás Judit (informatikus)
Cím:	Topology-Based Evaluation for Symbolic Indoor Positioning Algorithms / Judit Tamas, Zsolt Toth
Dátum:	2019
ISSN:	0093-9994 1939-9367
Megjegyzések:	Smart factories require location aware services such as asset tracking. These location aware services should be based on indoor positioning systems. Symbolic indoor positioning is considered as a classification task, where each category denotes a well-defined part of the building, such as a room or corridor. Hence, standard classifiers can be applied to symbolic indoor positioning. A topology-based classification evaluation method is presented that calculates the classification error based on the gravitational force between the symbolic positions denoted by categories. Three variants of the proposed topology-based method is evaluated and compared to the CRISP approach. The comparison was performed over a dataset recorded in a three-storey building whose topology is given in Indoor Geographic Markup Language format. Experimental results showed that the topology-based method gives a more detailed comparison of classifiers for indoor positioning than CRISP.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	IEEE Transactions on Industry Applications. - 55 : 6 (2019), p. 6324-6331. -
További szerzők:	Tóth Zsolt (1987-) (informatikus)
Pályázati támogatás:	GINOP-2.3.4-15-2016-00004 GINOP EFOP-3.6.1-16-2016-00011 EFOP ÚNKP-18-3-I egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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