Centre de documentation
scientifique

PPP rapid ambiguity resolution using Android GNSS raw measurements with a low-cost helical antenna / Xingxing Li in Journal of geodesy, vol 96 n° 10 (October 2022)  

Public [article]  inJournal of geodesy > vol 96 n° 10 (October 2022) . - n° 65 Titre : PPP rapid ambiguity resolution using Android GNSS raw measurements with a low-cost helical antenna Type de document : Article/Communication Auteurs : Xingxing Li, Auteur ; Hao Wang, Auteur ; Xin Li, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 65 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] Androïd [Termes IGN] antenne [Termes IGN] données GNSS [Termes IGN] positionnement cinématique en temps réel [Termes IGN] positionnement ponctuel précis [Termes IGN] précision du positionnement [Termes IGN] rapport signal sur bruit [Termes IGN] résolution d'ambiguïté [Termes IGN] téléphone intelligent Résumé : (auteur) The release of GNSS raw measurement acquisition privileges on Google Android makes high-precision positioning on the low-cost smart devices possible. However, influenced by the inner linearly polarized antenna, the pseudorange and carrier phase noises of the smart device are much larger than those of the geodetic receiver. As a result, only meter-level positioning accuracy can be obtained based on the smart device’s original antenna. With the external survey-grade antenna enhancing, positioning accuracy of decimeter-level to centimeter-level can be obtained, but it still takes tens of minutes to converge and fix the ambiguity. However, a PPP-RTK method is proposed to achieve rapid integer ambiguity resolution (AR) with the regional atmospheric augmentation. In this contribution, an uncombined PPP-RTK model is developed using Android GNSS raw measurements with an external antenna, after carefully considering the coexistence of single- and dual-frequency signals on smart devices. A low-cost helical antenna is employed to enhance the Android GNSS data as it is capable to provide observation data of comparable quality with the survey-grade antenna and has several advantages of low weight, low-power consumption, and portability. Moreover, a series of quality control methods in the data preprocessing and ambiguity resolution are proposed for smartphone-based PPP-RTK to enhance the positioning results. To validate the proposed method, several experiments are carried out using raw measurements of Xiaomi Mi8 with an external low-cost helical antenna. The result shows that the ambiguity fixed solution can be obtained within 3 min in both static and kinematic scenarios. After the ambiguity resolution, centimeter-level positioning accuracy of (1.7, 2.1, 4.1) cm and (7.2, 4.5, 8.1) cm for the east, north, and up components can be achieved in static and kinematic scenarios, respectively. Numéro de notice : A2022-735 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-022-01661-6 Date de publication en ligne : 27/09/2022 En ligne : https://doi.org/10.1007/s00190-022-01661-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101706 [article]

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]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
265-2020011	RAB	Revue	Centre de documentation	En réserve L003	Disponible
IFN-001-P002238	PER	Revue	Nogent-sur-Vernisson	Salle périodiques	Exclu du prêt

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, vol 21 n° 3 (July - September 2017)  

Permalink

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)

Permalink

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

Permalink

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)

Permalink

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)  

Permalink

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

Permalink

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

Permalink

Applications mobiles avec Cordova et PhoneGap / Sébastien Pittion (2015)

Permalink

Solutions temps réel sous Linux [avec 50 exercices corrigés] / Christophe Blaess (2015)

Permalink

Utilisation de QGis comme outil nomade de saisie (2ème partie : exemples) : CyberTracker, un outil efficient pour la collecte de données naturalistes / Cédric Roy in Géomatique expert, n° 102 (janvier - février 2015)

Permalink