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téléphonie mobileSynonyme(s)téléphonie cellulaire ;radiotéléphonie mobile ;radiotéléphonie cellulaire radiocommunication mobileVoir aussi |
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Humaine : a ubiquitous smartphone-based user heading estimation for mobile computing systems / Nesma Mohssen in Geoinformatica, vol 21 n° 3 (July - September 2017)
[article]
Titre : Humaine : a ubiquitous smartphone-based user heading estimation for mobile computing systems Type de document : Article/Communication Auteurs : Nesma Mohssen, Auteur ; Rana Momtaz, Auteur ; Heba Aly, Auteur ; Moustafa Youssef, Auteur Année de publication : 2017 Article en page(s) : pp 519 - 548 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] acquisition simultanée
[Termes IGN] analyse de données
[Termes IGN] Androïd
[Termes IGN] données localisées des bénévoles
[Termes IGN] lever mobile
[Termes IGN] orientation automatique
[Termes IGN] système de coordonnées
[Termes IGN] téléphonie mobileRésumé : (Auteur) Recently, there have been a wide range of mobile computing and crowd-sourcing applications that leverage the proliferating sensing capabilities of smartphones. Many of these place a paramount importance on accurate user heading estimation. Such applications include dead-reckoning-based localization and many crowd-sensing applications where the user typically carry her phone in arbitrary positions and orientations relative to her body and her transportation mode. However, there is no general solution available to estimate the user’s heading as current state-of-the-art focus on improving the phone orientation estimation, require the phone to be placed in a particular position, require a fixed transportation mode, require user intervention, and/or do not work accurately indoors. In this paper we present Humaine, a novel ubiquitous system that reliably and accurately estimates the user orientation relative to the Earth coordinate system. Humaine works accurately whether the user is riding a vehicle or walking indoors/outdoors for arbitrary cell phone positions and orientations relative to the user body. Moreover, it requires no prior-configuration nor user intervention. The system intelligently fuses the different inertial sensors widely available in off-the-shelf smartphones and employs statistical analysis techniques to their measurements to estimate the user orientation. Implementation of the system on different Android devices with 300 experiments performed at different indoor and outdoor testbeds shows that Humaine significantly outperforms the state-of-the-art in diverse scenarios, achieving a median accuracy of 14∘ and 16∘ for indoor and outdoor pedestrian users and 20∘ for in-vehicle users over a wide variety of phone positions. This is better than the-state-of-the-art by 523% and 594% for indoor and outdoor pedestrian users and 750% for in-vehicle users. This accuracy highlights the ubiquity of Humaine and its robustness against the various noise sources. Numéro de notice : A2017-380 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-017-0300-7 En ligne : https://doi.org/10.1007/s10707-017-0300-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85811
in Geoinformatica > vol 21 n° 3 (July - September 2017) . - pp 519 - 548[article]Mapping changes of residence with passive mobile positioning data : the case of Estonia / Pilleriine Kamenjuk in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)
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Titre : Mapping changes of residence with passive mobile positioning data : the case of Estonia Type de document : Article/Communication Auteurs : Pilleriine Kamenjuk, Auteur ; Anto Aasa, Auteur ; Jaanus Sellin, Auteur Année de publication : 2017 Article en page(s) : pp 1425 - 1447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Estonie
[Termes IGN] géovisualisation
[Termes IGN] habitat individuel
[Termes IGN] migration pendulaire
[Termes IGN] mobilité humaine
[Termes IGN] surveillance
[Termes IGN] téléphonie mobile
[Termes IGN] trace GPSRésumé : (Auteur) Similar to every process involving quantitative research, the study of migration heavily depends on the data available for analysis. The available movement data limit the type of questions that can be asked, and as a result, certain aspects of human spatial mobility have yet to be examined. The development of information and communication technologies and their widespread adoption offers new datasets, methods and interpretations that make it possible to study social processes at a new level. For example, mobile positioning data can aid in overcoming certain constraints embedded in traditional data sources (such as censuses or questionnaires) for study of the connections between daily mobility and change of residence. This study presents a framework for mapping changes of residence using data from passive mobile positioning and an anchor point model to better understand the limits of these methods and their contribution to understanding long-term mobility. The study concludes that the most important considerations in monitoring change of residence using passive mobile position data include the continuity of the time-series data, the varying structure of the mobile tower network and the diversified nature of human mobility. The fine spatial and temporal granularities of passive mobile positioning data allow us to study human movement at a detailed scale. Numéro de notice : A2017-307 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1295308 En ligne : http://dx.doi.org/10.1080/13658816.2017.1295308 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85354
in International journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1425 - 1447[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2017041 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017042 RAB Revue Centre de documentation Revues en salle Disponible Engaging indigenous people as geo-crowdsourcing sensors for ecotourism mapping via mobile data collection: a case study of the Royal Belum State Park / Nurul Hawani Idris in Cartography and Geographic Information Science, Vol 44 n° 2 (March 2017)
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Titre : Engaging indigenous people as geo-crowdsourcing sensors for ecotourism mapping via mobile data collection: a case study of the Royal Belum State Park Type de document : Article/Communication Auteurs : Nurul Hawani Idris, Auteur ; Mohamad Jahidi Osman, Auteur ; Kasturi Devi Kanniah, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 113 - 127 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] densification
[Termes IGN] données GPS
[Termes IGN] données localisées des bénévoles
[Termes IGN] Malaisie
[Termes IGN] parc naturel
[Termes IGN] population
[Termes IGN] téléphone intelligent
[Termes IGN] tourismeRésumé : (auteur) Web 2.0 and the proliferation of built-in Global Positioning System (GPS) on smartphones have influenced the increase of geo-crowdsourcing activities in a number of different contexts. The aim of this paper is to evaluate the performance of indigenous people’s use of mobile collection applications that are embedded in a smartphone to facilitate ecotourism asset mapping. In order to achieve this, field usability testing was conducted where structured observational method was used to assess the performance. The findings indicate majority of them can complete the data entry tasks using mobile data collection. The performance of data entries using radio button, icons, camera and audio methods were identified as better than free text and drop-down list methods. There was a correlation between the level of education with the ability of using radio button, drop-down list and image icon as data entry methods. The paper also discusses the extent of local knowledge relating to ecotourism within the community. The findings should be useful in the understanding of the design of mobile geo-crowdsourcing tools for use within other contexts that focus on data collection by semiliterate and indigenous groups. Numéro de notice : A2017-102 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1195285 En ligne : http://dx.doi.org/10.1080/15230406.2016.1195285 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84482
in Cartography and Geographic Information Science > Vol 44 n° 2 (March 2017) . - pp 113 - 127[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2017021 RAB Revue Centre de documentation En réserve L003 Disponible Exploiting location-aware social networks for efficient spatial query processing / Liang Tang in Geoinformatica, vol 21 n° 1 (January - March 2017)
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Titre : Exploiting location-aware social networks for efficient spatial query processing Type de document : Article/Communication Auteurs : Liang Tang, Auteur ; Haiquan Chen, Auteur Année de publication : 2017 Article en page(s) : pp 33 - 55 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] point d'intérêt
[Termes IGN] requête spatiale
[Termes IGN] service fondé sur la position
[Termes IGN] téléphonie mobileRésumé : (auteur) In this paper, we introduce two watchtower-based parameter-tunable frameworks for efficient spatial processing with sparse distributions of Points of Interest (POIs) by exploiting mobile users’ check-in data collected from the location-aware social networks. In our proposed frameworks, the network traversal can terminate earlier by retrieving the distance information stored in watchtowers. More important, by observing that people’s movement often exhibits a strong spatial pattern, we employ Bayesian Information Criterion-based cluster analysis to model mobile users’ check-in data as a mixture of 2-dimensional Gaussian distributions, where each cluster corresponds to a geographical hot zone. Afterwards, POI watchtowers are established in the hot zones and non-hot zones discriminatorily. Moreover, we discuss the optimal watchtower deployment mechanism in order to achieve a desired balance between the off-line pre-computation cost and the on-line query efficiency. Finally, the superiority of our solutions over the state-of-the-art approaches is demonstrated using the real data collected from Gowalla with large-scale road networks. Numéro de notice : A2017-025 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0271-0 En ligne : http://dx.doi.org/10.1007/s10707-016-0271-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83976
in Geoinformatica > vol 21 n° 1 (January - March 2017) . - pp 33 - 55[article]Comment gérer la sirène de la mobilité ? / Françoise de Blomac in DécryptaGéo le mag, n° 182 (décembre 2016)
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Titre : Comment gérer la sirène de la mobilité ? Type de document : Article/Communication Auteurs : Françoise de Blomac, Auteur Année de publication : 2016 Article en page(s) : pp 11 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] message d'alerte
[Termes IGN] objet mobile
[Termes IGN] prévention des risques
[Termes IGN] service départemental d'incendie et de secours
[Termes IGN] système d'information géographique
[Termes IGN] téléphonie mobileRésumé : (auteur) Les technologies mobiles intéressent de plus en plus les pompiers. Elles les aident en interne pour saisir des données, rappeler les troupes en cas de besoin... Mais la pression monte pour s'en servir afin de communiquer avec le grand public. Dans ce domaine, comment éviter d'avancer en ordre dispersé ? Premiers éléments de réponses. Numéro de notice : A2016-956 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83504
in DécryptaGéo le mag > n° 182 (décembre 2016) . - pp 11[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 286-2016101 RAB Revue Centre de documentation En réserve L003 Disponible Mobilités et numérique sous l'oeil des chercheurs / Françoise de Blomac in DécryptaGéo le mag, n° 182 (décembre 2016)PermalinkSig participatif : gagnez du temps et de l'argent / Hubert d' Erceville in SIGmag, n° 11 (décembre 2016)PermalinkPrecision GNSS for everyone: Precise positioning using raw GPS measurements from android smartphones / Simon Banville in GPS world, Vol 27 n° 11 (November 2016)Permalinkvol 30 n° 9-10 - September - October 2016 - Human dynamics in the mobile and big data era (Bulletin de International journal of geographical information science IJGIS) / Shih-Lung ShawPermalinkUnderstanding the bias of call detail records in human mobility research / Ziliang Zhao in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)PermalinkApplication of satellite navigation system for emergency warning and alerting / Suelynn Choy in Computers, Environment and Urban Systems, vol 58 (July 2016)PermalinkDiffuser une alerte aux crues rapides via une application smartphone en France. De la théorie à la mise en pratique / Sekedoua Kouadio in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 21 n° 4 (juillet - août 2016)PermalinkEnabling maps/location searches on mobile devices: constructing a POI database via focused crawling and information extraction / Hsiu-Min Chuang in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)PermalinkEstimating attendance from cellular network data / Marco Marmei in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)PermalinkTask selection in spatial crowdsourcing from worker’s perspective / Dingxiong Deng in Geoinformatica, vol 20 n° 3 (July - September 2016)Permalink