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1.
Map matching with sparse cellular fingerprint observations
Chris Marshall, Federico Pittino, Andrea Dalla Torre, Angelo Montanari, Paolo Gallo, Donatella Gubiani, Andrea Viel, 2018, published scientific conference contribution

Found in: ključnih besedah
Keywords: map matching, fingerprint, trajectories
Published: 09.12.2018; Views: 2359; Downloads: 0
.pdf Fulltext (2,85 MB)

2.
A map-matching algorithm dealing with sparse cellular fingerprint observations
Andrea Viel, Federico Pittino, Angelo Montanari, Chris Marshall, Donatella Gubiani, Paolo Gallo, Andrea Dalla Torre, 2019, original scientific article

Abstract: The widespread availability of mobile communication makes mobile devices a resource for the collection of data about mobile infrastructures and user mobility. In these contexts, the problem of reconstructing the most likely trajectory of a device on the road network on the basis of the sequence of observed locations (map-matching problem) turns out to be particularly relevant. Different contributions have demonstrated that the reconstruction of the trajectory of a device with good accuracy is technically feasible even when only a sparse set of GNSS positions is available. In this paper, we face the problem of coping with sparse sequences of cellular fingerprints. Compared to GNSS positions, cellular fingerprints provide coarser spatial information, but they work even when a device is missing GNSS positions or is operating in an energy saving mode. We devise a new map-matching algorithm, that exploits the well-known Hidden Markov Model and Random Forests to successfully deal with noisy and sparse cellular observations. The performance of the proposed solution has been tested over a medium-sized Italian city urban environment by varying both the sampling of the observations and the density of the fingerprint map as well as by including some GPS positions into the sequence of fingerprint observations.
Found in: ključnih besedah
Keywords: Map-matching algorithm, trajectory, cellular fingerprint, Hidden Markov Model
Published: 11.06.2019; Views: 2097; Downloads: 69
.pdf Fulltext (3,93 MB)

3.
Experimental syntax and Slavic languages
Arthur Stepanov, 2021, independent scientific component part or a chapter in a monograph

Abstract: The chapter reviews a number of empirical domains that recently came into the focus of research in Slavic experimental syntax, including island phenomena, syntactic Superiority effects, various types of agreement, word order, and scope interaction, among others. This research mostly relies on sentence acceptability experiments applied across larger pools of participants, but the chapter also reviews selected studies using related experimental methods (e.g. elicited production and sentence–picture verification). The chapter concludes by identifying a number of conceptual issues in syntactic theory, for which we believe Slavic experimental syntax has a potential to make a particularly strong contribution.
Found in: ključnih besedah
Summary of found: ...island, unaccusativity, information structure, superiority effect, case matching, agreement, numeral phrase...
Keywords: experimental syntax, Slavic language, syntactic island, unaccusativity, information structure, superiority effect, case matching, agreement, numeral phrase
Published: 20.12.2021; Views: 467; Downloads: 3
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