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Activity recognition in residential spaces with Internet of things devices and thermal imaging / Kshirasagar Naik in Sensors, vol 21 n° 3 (February 2021)  

Public [article]  inSensors > vol 21 n° 3 (February 2021) . - n° 988 Titre : Activity recognition in residential spaces with Internet of things devices and thermal imaging Type de document : Article/Communication Auteurs : Kshirasagar Naik, Auteur ; Tejas Pandit, Auteur ; Nitin Naik, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 988 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] compréhension de l'image [Termes IGN] contrôle par télédétection [Termes IGN] détection d'événement [Termes IGN] espace intérieur [Termes IGN] image RVB [Termes IGN] image thermique [Termes IGN] intelligence artificielle [Termes IGN] internet des objets [Termes IGN] itération [Termes IGN] modèle stéréoscopique [Termes IGN] objet mobile [Termes IGN] reconnaissance automatique [Termes IGN] reconnaissance d'objets [Termes IGN] scène 3D Résumé : (auteur) In this paper, we design algorithms for indoor activity recognition and 3D thermal model generation using thermal images, RGB images, captured from external sensors, and the internet of things setup. Indoor activity recognition deals with two sub-problems: Human activity and household activity recognition. Household activity recognition includes the recognition of electrical appliances and their heat radiation with the help of thermal images. A FLIR ONE PRO camera is used to capture RGB-thermal image pairs for a scene. Duration and pattern of activities are also determined using an iterative algorithm, to explore kitchen safety situations. For more accurate monitoring of hazardous events such as stove gas leakage, a 3D reconstruction approach is proposed to determine the temperature of all points in the 3D space of a scene. The 3D thermal model is obtained using the stereo RGB and thermal images for a particular scene. Accurate results are observed for activity detection, and a significant improvement in the temperature estimation is recorded in the 3D thermal model compared to the 2D thermal image. Results from this research can find applications in home automation, heat automation in smart homes, and energy management in residential spaces. Numéro de notice : A2021-159 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/s21030988 date de publication en ligne : 02/02/2021 En ligne : https://doi.org/10.3390/s21030988 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97075 [article]

SIoT: a new strategy to improve the network lifetime with an efficient search process / Abderrahim Zannou in Future internet, vol 13 n° 1 (January 2021)  

Public [article]  inFuture internet > vol 13 n° 1 (January 2021) . - n° 4 Titre : SIoT: a new strategy to improve the network lifetime with an efficient search process Type de document : Article/Communication Auteurs : Abderrahim Zannou, Auteur ; Abdelhak Boulaalam, Auteur ; El Habib Nfaoui, Auteur Année de publication : 2021 Article en page(s) : n° 4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Société de l'information [Termes IGN] efficacité [Termes IGN] internet des objets [Termes IGN] réseau social Résumé : (auteur) The Social Internet of Things (SIoT) means that every node can use a set of nodes that are considered as friends to search for a specific service. However, this is a slow process because each node is required to manage a high number of friends. Thus, the SIoT issue consists of how to select the right friends that improve the network navigability. The enhancement of the network navigability boosts the search for a service to be rapid but not guaranteed. Furthermore, sending requests from the shortest paths involves the rapid search, but the network lifetime can be reduced due to the number of requests that can be transmitted and processed by the nodes that have low power energy. This paper proposes a new approach that improves the network navigability, speeds up the search process, and increases the network lifetime. This approach aims at creating groups dynamically by nodes where each group has a master node, second, using a consensus algorithm between master nodes to agree with a specific capability, finally adopting a friendship selection method to create a social network. Thus, the friends will be sorted periodically for the objective of creating simultaneously a balance between the energy consumption and the rapid search process. Simulation results on the Brightkite location-based online social network dataset demonstrate that our proposal outperforms baseline methods in terms of some parameters of network navigability, path length to reach the providers, and network lifetime. Numéro de notice : A2021-302 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.3390/fi13010004 date de publication en ligne : 29/12/2020 En ligne : https://doi.org/10.3390/fi13010004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97487 [article]

Objets connectés et mobilité urbaine : visualiser les déplacements des usagers de Twitter avec des graphes dynamiques / Françoise Lucchini in Mappemonde [en ligne], n° 128 (juillet 2020)  

Public [article]  inMappemonde [en ligne] > n° 128 (juillet 2020) Titre : Objets connectés et mobilité urbaine : visualiser les déplacements des usagers de Twitter avec des graphes dynamiques Type de document : Article/Communication Auteurs : Françoise Lucchini, Auteur ; Olivier Gillet, Auteur ; Bernard Elissalde, Auteur ; Lény Grassot, Auteur ; Julien Baudry, Auteur ; Armelle Couillet, Auteur Année de publication : 2020 Note générale : bibliographie Langues : Français (fre) Descripteur : [Termes IGN] données issues des réseaux sociaux [Termes IGN] internet des objets [Termes IGN] mobilité urbaine [Termes IGN] Paris (75) [Termes IGN] point d'intérêt [Termes IGN] Twitter [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Avec le tournant numérique, les données issues des objets connectés constituent une ressource nouvelle pour la compréhension des rythmes urbains et des mobilités dans la ville. À l’aide des messages géolocalisés (1 540 000 tweets) des usagers du réseau social Twitter enregistrés durant l’année 2015, cet article présente un outil de visualisation des mobilités parisiennes en s’appuyant sur des graphes dynamiques. Nous montrons comment un algorithme de clustering nous permet de passer d’un message géolocalisé à un déplacement individuel puis à des trajectoires collectives. Ces dernières illustrent les mobilités préférentielles des usagers du réseau social dans Paris, ainsi que des zones de concentration et pôles d’intérêt. Numéro de notice : A2020-822 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.4000/mappemonde.4297 En ligne : https://doi.org/10.4000/mappemonde.4297 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97250 [article]

A proposal for modeling indoor–outdoor spaces through indoorGML, open location code and OpenStreetMap / Ruben Cantarero Navarro in ISPRS International journal of geo-information, vol 9 n° 3 (March 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 3 (March 2020) . - 21 p. Titre : A proposal for modeling indoor–outdoor spaces through indoorGML, open location code and OpenStreetMap Type de document : Article/Communication Auteurs : Ruben Cantarero Navarro, Auteur ; Ana Rubio Ruiz, Auteur ; Javier Dorado Chaparro, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 21 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] CityGML [Termes IGN] données hétérogènes [Termes IGN] format Industry foudation classes IFC [Termes IGN] indoorGML [Termes IGN] internet des objets [Termes IGN] modélisation 3D [Termes IGN] OpenStreetMap [Termes IGN] positionnement en intérieur [Termes IGN] représentation spatiale [Termes IGN] ville intelligente [Termes IGN] WiFi Résumé : (auteur) Traditionally, the standards of spatial modeling are oriented to represent the quantitative information of space. However, in recent years an increasingly common challenge is appearing: flexibly and appropriately integrating quantitative information that goes beyond the purely geometric. This problem has been aggravated due to the success of new paradigms such as the Internet of Things. This adds an additional challenge to the representation of this information due to the need to represent characteristic information of the space from different points of view in a model, such as WiFi coverage, dangerous surroundings, etc. While this problem has already been addressed in indoor spaces with the IndoorGML standard, it remains to be solved in outdoor and indoor–outdoor spaces. We propose to take the advantages proposed in IndoorGML, such as cellular space or multi-layered space model representation, to outdoor spaces in order to create indoor–outdoor models that enable the integration of heterogeneous information that represents different aspects of space. We also propose an approach that gives more flexibility in spatial representation through the integration of standards such as OpenLocationCode for the division of space. Further, we suggest a procedure to enrich the resulting model through the information available in OpenStreetMap. Numéro de notice : A2020-257 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9030169 date de publication en ligne : 12/03/2020 En ligne : https://doi.org/10.3390/ijgi9030169 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95013 [article]

Security risk management for the Internet of things: Technologies and techniques for IoT security, privacy and data protection / John Soldatos (2020)  

Public Titre : Security risk management for the Internet of things: Technologies and techniques for IoT security, privacy and data protection Type de document : Monographie Auteurs : John Soldatos, Éditeur scientifique Editeur : Boston, Delft : Now publishers Année de publication : 2020 Importance : 250 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-68083-682-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Société de l'information [Termes IGN] attaque informatique [Termes IGN] cyberinfrastructure [Termes IGN] données massives [Termes IGN] données numériques [Termes IGN] internet des objets [Termes IGN] sécurité informatique Résumé : (éditeur) In recent years, the rising complexity of Internet of Things (IoT) systems has increased their potential vulnerabilities and introduced new cybersecurity challenges. In this context, state of the art methods and technologies for security risk assessment have prominent limitations when it comes to large scale, cyber-physical and interconnected IoT systems. Risk assessments for modern IoT systems must be frequent, dynamic and driven by knowledge about both cyber and physical assets. Furthermore, they should be more proactive, more automated, and able to leverage information shared across IoT value chains. This book introduces a set of novel risk assessment techniques and their role in the IoT Security risk management process. Specifically, it presents architectures and platforms for end-to-end security, including their implementation based on the edge/fog computing paradigm. It also highlights machine learning techniques that boost the automation and proactiveness of IoT security risk assessments. Furthermore, blockchain solutions for open and transparent sharing of IoT security information across the supply chain are introduced. Frameworks for privacy awareness, along with technical measures that enable privacy risk assessment and boost GDPR compliance are also presented. Likewise, the book illustrates novel solutions for security certification of IoT systems, along with techniques for IoT security interoperability. In the coming years, IoT security will be a challenging, yet very exciting journey for IoT stakeholders, including security experts, consultants, security research organizations and IoT solution providers. The book provides knowledge and insights about where we stand on this journey. It also attempts to develop a vision for the future and to help readers start their IoT Security efforts on the right foot. Note de contenu : 1- Introduction 2- Security Data Modelling for Configurable Risk Assessment as a Service in IoT Systems 3- Data-driven IoT Security Using Deep Learning Techniques 4- Privacy Awareness, Risk Assessment, and Control Measures in IoT Platforms: BRAIN-IoT Approach 5- IoT Network Risk Assessment and Mitigation: The SerIoT Approach 6- Chariot-integrated Approach to Safety, Privacy, and Security – CHARIOT IPSE 7- Pattern-driven Security, Privacy, Dependability and Interoperability in IoT 8- Enabling Continuous Privacy Risk Management in IoT Systems 9- Data Protection Compliance Requirements for the Internet of Things 10- Cybersecurity Certification in IoT Environments 11- Firmware Software Analysis at Source Code and Binary Levels 12- End-to-End Security for IoT 13- Blockchain Ledger Solution Affirming Physical, Operational, and Functional Changes in an IoT System 14- Leveraging Interledger Technologies in IoT Security Risk Management Numéro de notice : 25979 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Monographie DOI : 10.1561/9781680836837 En ligne : http://dx.doi.org/10.1561/9781680836837 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96707

Conception et évaluation de techniques d'interaction non-visuelle basées sur un dispositif personnel / Sandra Bardot (2019)  

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GéoIoT : au carrefour des SIG et de l'IoT / Anonyme in Géomatique expert, n° 126 (janvier - février 2019)

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Trends in geomatics / Rifaat Abdalla (2019)  

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Artificial intelligence and the Internet of things / Mercedes Bunz (2018)  

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Earth observation open science and innovation / Pierre-Philippe Mathieu (2018)  

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iNUIT: Internet of Things for Urban Innovation / Francesco Carrino in Future internet, vol 8 n° 2 (June 2016)  

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The market place of the internet of things / Anonyme in Research*eu - results, n° 42 (May 2015) 

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3D visualisation of the internet of things / Anonyme in Research*eu - results, n° 40 (March 2015) 

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Les objets connectés : enjeux juridiques / Karima Ben Abdelmalek in Archimag, n° 279 (novembre 2014)

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Internet des objets - M2M : objets communiquants, le droit saura-t-il répondre ? / Alexandre Entraygues in Expertises des systèmes d'information, n° 395 (octobre 2014)

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