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Evaluation des mesures GPS effectuées par un smartphone Android Xiaomi Mi 8 / Umberto Robustelli in Géomatique expert, n° 132-133 (janvier - septembre 2020)

Public [article]  inGéomatique expert > n° 132-133 (janvier - septembre 2020) . - pp 38 - 49 Titre : Evaluation des mesures GPS effectuées par un smartphone Android Xiaomi Mi 8 Type de document : Article/Communication Auteurs : Umberto Robustelli, Auteur ; Valerio Baiocchi, Auteur ; Giovanni Pugliano, Auteur Année de publication : 2020 Article en page(s) : pp 38 - 49 Note générale : bibliographie article original en anglais en libre accès : https://doi.org/10.3390/electronics8010091 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] Androïd [Termes IGN] précision du positionnement [Termes IGN] récepteur bifréquence [Termes IGN] téléphone intelligent Résumé : (auteur) [original abstract] On May 2018 the world’s first dual-frequency Global Navigation Satellite System (GNSS) smartphone produced by Xiaomi equipped with a Broadcom BCM47755 chip was launched. It is able to receive L1/E1/ and L5/E5 signals from GPS, Galileo, Beidou, and GLONASS (GLObal NAvigation Satellite System) satellites. The main aim of this work is to achieve the phone’s position by using multi-constellation, dual frequency pseudorange and carrier phase raw data collected from the smartphone. Furthermore, the availability of dual frequency raw data allows to assess the multipath performance of the device. The smartphone’s performance is compared with that of a geodetic receiver. The experiments were conducted in two different scenarios to test the smartphone under different multipath conditions. Smartphone measurements showed a lower C/N0 and higher multipath compared with those of the geodetic receiver. This produced negative effects on single-point positioning as showed by high root mean square error (RMS). The best positioning accuracy for single point was obtained with the E5 measurements with a DRMS (horizontal root mean square error) of 4.57 m. For E1/L1 frequency, the 2DRMS was 5.36 m. However, the Xiaomi Mi 8, thanks to the absence of the duty cycle, provided carrier phase measurements used for a static single frequency relative positioning with an achieved 2DRMS of 1.02 and 1.95 m in low and high multipath sites, respectively. Numéro de notice : A2020-862 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99184 [article]

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Programming persistent memory / Steve Scargall (2020)  

Public Titre : Programming persistent memory : a comprehensive guide for developers Type de document : Guide/Manuel Auteurs : Steve Scargall, Auteur Editeur : New York : Apress Année de publication : 2020 Importance : 438 p. ISBN/ISSN/EAN : 978-1-4842-4932-1 Note générale : Glossaire Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique [Termes IGN] C++ [Termes IGN] données massives [Termes IGN] Java (langage de programmation) [Termes IGN] Linux [Termes IGN] modèle logique de données [Termes IGN] programmation informatique Résumé : (Auteur) Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK) Design and optimize data structures for persistent memory Study how real-world applications are modified to leverage persistent memory Utilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc. Note de contenu : Chapter 1: Introduction to Persistent Memory Programming Chapter 2: Persistent Memory Architecture Chapter 3: Operating System Support for Persistent Memory Chapter 4: Fundamental Concepts of Persistent Memory Programming Chapter 5: Introducing the Persistent Memory Development Kit Chapter 6: libpmem: Low-Level Persistent Memory Support Chapter 7: libpmemobj: A Native Transactional Object Store Chapter 8: libpmemobj-cpp: The Adaptable Language - C++ and Persistent Memory Chapter 9: pmemkv: A Persistent In-Memory Chapter 10: Volatile Use of Persistent Memory Chapter 11: Designing Data Structures for Persistent Memory Chapter 12: Debugging Persistent Memory Applications Chapter 13: Enabling Persistence Using a Real-World Application Chapter 14: Concurrency and Persistent Memory Chapter 15: Profiling and Performance Chapter 16: PMDK Internals: Important Algorithms and Data Structures Chapter 17: Reliability, Availability, and Serviceability (RAS) Chapter 18: Remote Persistent Memory Chapter 19: Advanced Topics Appendix A: How to Install NDCTL and DAXCTL on Linux Appendix B: How to Install the Persistent Memory Development Kit (PMDK) Appendix C: How to Install IPMCTL on Linux and Windows Appendix D: Java for Persistent Memory Appendix E: The Future of Remote Persistent Memory Replication Numéro de notice : 26513 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Manuel informatique DOI : 10.1007/978-1-4842-4932-1 En ligne : http://doi.org/10.1007/978-1-4842-4932-1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97277

Cognitive aspects of human-computer interaction for GIS / Dieter Fritsch (2019)  

Public Titre : Cognitive aspects of human-computer interaction for GIS Type de document : Monographie Auteurs : Dieter Fritsch, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 196 p. ISBN/ISSN/EAN : 978-3-03921-569-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] Androïd [Termes IGN] base de données statistiques [Termes IGN] carte d'intérieur [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] cognition [Termes IGN] état de l'art [Termes IGN] géovisualisation [Termes IGN] informatique en nuage [Termes IGN] interface homme-machine [Termes IGN] IOS [Termes IGN] monde virtuel [Termes IGN] oculométrie [Termes IGN] représentation mentale spatiale [Termes IGN] traitement de données localisées [Termes IGN] visualisation de données Résumé : (éditeur) The book is dealing with recent progress in human–computer interaction (HCI) related to geographic information science (GIS). The Editorial starts with an overview about the evolution of the Internet and first HCI concepts and stimulates recent HCI developments using 3D and 4D apps, running on all mobile devices with OS Android, iOS, Linus, and Windows. Eight research articles present the state-of-the-art in HCI–GIS-related issues, starting with gender and age differences in using indoor maps via the estimation of building heights from space to an efficient visualization method for polygonal data with dynamic simplification. The review article deals with progress and challenges on entity alignment of geographic knowledge bases. Note de contenu : Editorial “Cognitive aspects of human-computer interaction for GIS” 1- Gender and age differences in using indoor maps for wayfinding in real environments 2- Collaborative Immersive Virtual Environments for Education in Geography 3- Evaluation of User Performance in Interactive and Static 3D Maps 4- Determining optimal video length for the estimation of building height through radial displacement measurement from space 5- 4D time density of trajectories: Discovering spatiotemporal patterns in movement data 6- Two-Dimensional Priority R-Tree Algorithm for Spatial Partitioning in SpatialHadoop 7- Estimating the performance of random forest versus multiple regression for predicting prices of the apartments 8- An efficient visualization method for polygonal data with dynamic simplification 9- Progress and challenges on entity alignment of geographic knowledge bases Numéro de notice : 25883 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie DOI : 10.3390/books978-3-03921-569-0 En ligne : https://doi.org/10.3390/books978-3-03921-569-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95748

An effective spherical panoramic LoD model for a mobile street view service / Xianxiong Liu in Transactions in GIS, vol 21 n° 5 (October 2017)  

Public [article]  inTransactions in GIS > vol 21 n° 5 (October 2017) . - pp 897 - 915 Titre : An effective spherical panoramic LoD model for a mobile street view service Type de document : Article/Communication Auteurs : Xianxiong Liu, Auteur ; Qingwu Hu, Auteur ; Mingyao Ai, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 897 - 915 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] Androïd [Termes IGN] carte [Termes IGN] image panoramique [Termes IGN] navigation [Termes IGN] niveau de détail [Termes IGN] projection [Termes IGN] réalité augmentée [Termes IGN] scène urbaine [Termes IGN] visualisation [Termes IGN] visualisation 3D [Termes IGN] Web View Service Résumé : (Auteur) Street view (panoramic view) services have begun to shift from PC platforms to mobile smart devices. Considering the capabilities of smart terminal devices, a 360° spherical level of detail (LoD) model for mobile street view services that renders panoramic images on the inner surface of a sphere via LoD is proposed in this article. Panoramic images are segmented into tiles and organized in a pyramid tile structure for LoD rendering to improve the rendering efficiency of the proposed model. A projection model between panoramic images and the spherical surface is presented to map the panoramic tiles on the spherical graticule. A street view-rendering algorithm of panoramic images is proposed with the rendering function of OpenGL for Embedded Systems (OpenGL ES). A street view service app running on Android, based on the proposed approach, is implemented to assess two aspects of the panoramic view model, namely visualization effect and efficiency. Experiment results reveal that the 360° spherical LoD model of the panoramic image can display 3D street view scenes better than the cubic panoramic view model. The proposed model also has an excellent 3D visualization effect and high-efficiency rendering ability for mobile street view services. Therefore, it is applicable in large-scale mobile street view services both online and offline and in augmented reality navigation. Numéro de notice : A2017-632 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12247 En ligne : http://dx.doi.org/10.1111/tgis.12247 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86950 [article]

Humaine : a ubiquitous smartphone-based user heading estimation for mobile computing systems / Nesma Mohssen in Geoinformatica [en ligne], vol 21 n° 3 (July - September 2017)  

Public [article]  inGeoinformatica [en ligne] > vol 21 n° 3 (July - September 2017) . - pp 519 - 548 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 mobile Résumé : (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 [article]

Automatisation de l’acquisition et du traitement des images Sentinel-2 pour le calcul d’indices de végétation aidant à la prévention des pics de paludisme à Madagascar / Charlotte Wolff (2017)

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Docker, déploiement de microservices sous Linux ou Windows (Docker Swarm, Docker Compose, Docker Machine) / Jean-Philippe Gouigoux (2017)

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Precision GNSS for everyone: Precise positioning using raw GPS measurements from android smartphones / Simon Banville in GPS world, Vol 27 n° 11 (November 2016)

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Développement d'une application Android pour communiquer avec une station totale Leica à l'aide d'une interface GeoCOM : Travail de brevet Technicien en géomatique / D. Meister in Géomatique suisse, vol 114 n° 6 (juin 2016)

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There's an app for that : using a smartphone for GNSS ionospheric data collection / Andrew Kennedy in GPS world, vol 27 n° 6 (June 2016)  

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Validation, suivi et mise en application du logiciel pour Android TopoSuite / N. Kurth in Géomatique suisse, vol 114 n° 6 (juin 2016)

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Développement d’applications Android en réalité augmentée pour atténuer les risques liés aux séismes / Hugo Baltz (2016) 

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Docker, pratique des architectures à base de conteneurs / Pierre-Yves Cloux (2016)

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Active Directory et Windows PowerShell en action / Kaïs Ayari (2015)

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Android 5 / Nazim Benbourahla (2015)

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