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description Publicationkeyboard_double_arrow_right Conference object 2024 France EnglishPublisher:HAL CCSD Authors: Fedrecheski, Geovane; Vučinić, Mališa; Watteyne, Thomas;Fedrecheski, Geovane; Vučinić, Mališa; Watteyne, Thomas;International audience; Authenticated key exchange protocols play a crucial role in the communication security stack of an Internet-of-Things (IoT) device: they authenticate the communicating parties and establish a shared symmetric secret between them.Following a large debate in the community, the Internet Engineering Task Force (IETF) has recently standardized a new protocol called EDHOC for authenticated key exchange targeting IoT environments.The EDHOC protocol performs a compact Diffie-Hellman key exchange handshake, requiring several times less bytes-over-the-air than the de-facto solution used in the Internet, the (D)TLS protocol.In this paper, we study how this reduction in message size correlates with the usage of other scarce resources in IoT environments: time, energy, and memory.We evaluate EDHOC and DTLS with different authentication configurations over two IoT radio technologies.First, we measure the EDHOC and DTLS handshakes on constrained hardware over an IEEE 802.15.4 radio.We observe that EDHOC achieves ×6 to ×14 reduction in packet sizes, ×1.44 improvement in handshake duration and ×2.79 reduction in energy consumed.Next, we simulate time on air on LoRaWAN networks and find that, in the most restrictive configuration (SF=12), DTLS uses at least ×7 more time on air than EDHOC.Finally, we measure flash memory and RAM usage, with the EDHOC implementation achieving a ×4 reduction in both.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2024Full-Text: https://hal.science/hal-04382397/documentINRIA a CCSD electronic archive serverConference object . 2024Full-Text: https://hal.science/hal-04382397v2/documentData sources: INRIA a CCSD electronic archive serverAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::3032c1ea128b0e82f517e585e297a40b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2024Full-Text: https://hal.science/hal-04382397/documentINRIA a CCSD electronic archive serverConference object . 2024Full-Text: https://hal.science/hal-04382397v2/documentData sources: INRIA a CCSD electronic archive serverAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::3032c1ea128b0e82f517e585e297a40b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint 2024 France EnglishPublisher:HAL CCSD Authors: Sathya, Ajay; Carpentier, Justin;Sathya, Ajay; Carpentier, Justin;Rigid-body dynamics algorithms have played an essential role in robotics development. By finely exploiting the underlying robot structure, they allow the computation of the robot kinematics, dynamics, and related physical quantities with low complexity, enabling their integration into chipsets with limited resources or their evaluation at very high frequency for demanding applications (e.g., model predictive control, largescale simulation, reinforcement learning, etc.) While most of these algorithms operate on constraint-free settings, only a few have been proposed so far to adequately account for constrained dynamical systems while depicting low algorithmic complexity. In this article, we introduce a series of new algorithms with reduced (and lowest) complexity for the forward simulation of constrained dynamical systems. Notably, we revisit the so-called articulated body algorithm (ABA) and the Popov-Vereshchagin algorithm (PV) in the light of proximal-point optimization and introduce two new algorithms, called constrainedABA and proxPV. These two new algorithms depict linear complexities while being robust to singular cases (e.g., redundant constraints, singular constraints, etc.). We establish the connection with existing literature formulations, especially the relaxed formulation at the heart of the MuJoCo and Drake simulators. We also propose an efficient and new algorithm to compute the damped Delassus inverse matrix with the lowest known computational complexity. All these algorithms have been implemented inside the open-source framework Pinocchio and depict, on a wide range of robotic systems ranging from robot manipulators to complex humanoid robots, state-of-the-art performances compared to alternative solutions of the literature.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::aa2bbe72c36cb4c9d668a4589db470db&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report , Other literature type 2024 EnglishPublisher:Unpublished Authors: Mtiraoui, Abderraouf, Ben Ahmed;Mtiraoui, Abderraouf, Ben Ahmed;L’objectif principal de ce projet est d’étudier les effets directs et indirects de la digitalisation sur consommation énergétique à travers la décision de l’action du pouvoir public pour les économies de la région MENA.Plus précisément, nous espérons apporter des réponses aux questions suivantes:•Comment peut-on mesurer le concept de la digitalisation? Comment pouvons-nous justifier la conceptualisation de ces mesures sur le plan théorique?•Quel est le rôle de l’action du pouvoir public d’améliorer l’efficacité des services publics tout en réduisant la consommation énergétique.•Quelle est l’effet de digitalisation sur la création de la richesse de la région MENA ?•Quelle est l’impact de la consommation énergétique sur l’économie de la région MENA ?•Quelles sont les stratégies politiques efficaces de gestion énergétique qui peuvent avoir des effets significatifs dans un contexte de digitalisation sur les économies de la région MENA. La réponse à ces questions nous permettra de disposer d’une base utile pour formuler le modèle conceptuel et les hypothèses de notre recherche.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.13140/rg.2.2.25536.10248&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 France EnglishPublisher:HAL CCSD Authors: Moreno Nieto, Juana; Décosse, Frédéric;Moreno Nieto, Juana; Décosse, Frédéric;La revue n'est plus éditée par Wiley; International audience; The Covid 19 pandemic caused major changes in the global economy, paralysing a large part of production and revealing the importance of those sectors necessary for the reproduction of life, whose essential workers had to maintain their activity despite the danger of contagion. This article focuses on the case of Latin American day labourers in Provençal agriculture. We aim to capture the way in which part of the migrant labour force residing in Spain was expelled to the agro-industrial production enclave of the neighbouring country. To do so, we propose an analysis of labour and mobility trajectories between Spain and France. In addition to an approach to the strategies of social reproduction and the subjectivities of the social actors, this will allow us to identify dynamics of a more global and collective nature (Dombois, 1998), related to the agricultural labour market. We note that, while joining the French agricultural sector has given them access to employment and higher wages, it has also confronted them with the harsh conditions and high work rate involved in intensive agriculture. This has also weakened their positions due to a lack of knowledge of the language and the constraints of living in a highly segregated rural environment. The article seeks to explore the invisible side of essential work and to point out how these trajectories have been affected by both the material and symbolic violence that sustains the contemporary agri-food production model.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______3430::08645b573975b943bcb02941c2a67c45&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023 EnglishPublisher:HAL CCSD Authors: Yousra, El, Kihel; Soufiane, Embarki;Yousra, El, Kihel; Soufiane, Embarki;International audience; The development of the Internet of Things (IOT) has made it easier to obtain real-time data related to the supply chain for food distribution's traceability management. In this study, we suggest digitally transforming the supply chain for seafood distribution. In order to provide better visibility of both traceability data and the parameters that need to be tracked in real time, we are creating solutions based on the application of IoT in the cold chain. In order to guarantee high product quality at the lowest possible cost and time during the shipping of products, suppliers and consumers will have increased access to this information
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::d34974ca475f9086d8f162448ab79879&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2023 EnglishPublisher:HAL CCSD Authors: Battesti, Vincent; Marty, Léo;Battesti, Vincent; Marty, Léo;Report and scientific justification of the project: al-Ula AS Project : Anthropological survey of al-‘Ulā community and its oasis system. (Saudi Arabia)Annual Report to AFALULA (Agence française pour le développement d'al-Ula) & RCU (Royal Commission for AlUla).; Rapport et justification scientifique du projet: al-Ula AS Project : Anthropological survey of al-‘Ulā community and its oasis system. (Arabie saoudite)Rapport annuel à AFALULA (Agence française pour le développement d'al-Ula) & RCU (Royal Commission for AlUla).
Mémoires en Sciences... arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::2e6385b0242abf0fce189c896a95512c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::2e6385b0242abf0fce189c896a95512c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Doctoral thesis 2023 EnglishPublisher:HAL CCSD Authors: Hajjaji, Yosra;Hajjaji, Yosra;In the era of precision agriculture, where a 70% increase in global food production is imperative,this research unfolds as a transformative force propelled by data-driven methodologies.Focusing on the vital realm of palm cultivation, which is particularly crucial for date palmproduction and environmental balance, this study tackles the challenges posed by diverseand voluminous data through the integration of remote sensing big data and the Internet ofThings (IoT). The central stage is deep learning, ushering in a new era of smart precisionagriculture tailored for effective palm management. Three key challenges were addressed:agricultural data management, palm tree detection and counting, and pest and disease management,all with the overarching goal of fortifying resilience, productivity, and sustainabilityin palm production. The contributions of this research are manifested in a scalable remotesensing data management model, the introduction of a distributed architecture to handlemassive, high-resolution remote sensing data, and a deep learning and UAV-based approachfor efficient palm tree detection. This revolutionary approach not only accelerates data collection,reduces errors, and enhances decision-making but also contributes significantly to thesustainability of the palm industry and aligns with Sustainable Development Goals (SDGs).Additionally, this study presents an innovative solution for sustainable palm cultivation byintegrating computer vision, deep learning, IoT, and geospatial data for the early detectionand mapping of Red Palm Weevil (RPW) infestations. Achieving 98.8%-99.5% accuracy anddetection rate with a custom DL model, this technology-driven strategy enables comprehensivemapping, monitoring, and targeted management of RPW spread, benefiting agriculturalagencies, growers, and researchers.; À l’ère de l’agriculture de précision, où une augmentation de 70 % de la production alimentairemondiale est impérative, cette recherche se dévoile comme une force transformative, propulséepar des méthodologies axées sur les données. Axée sur le domaine vital de la culturedu palmier, particulièrement cruciale pour la production d’huile de palme et l’équilibre environnemental,l’étude aborde les défis posés par des données diverses et volumineuses grâce àl’intégration de données massives de télédétection et de l’Internet des objets (IdO). Le protagonistede cette scène est l’apprentissage profond, inaugurant une nouvelle ère d’agriculture deprécision intelligente adaptée à une gestion efficace des palmiers. Trois défis clés sont abordés:la gestion des données agricoles, la détection et le comptage des palmiers, ainsi que la gestiondes ravageurs et des maladies, le tout dans le but ultime de renforcer la résilience, la productivitéet la durabilité de la production de palmiers. Les contributions de cette recherche semanifestent par un modèle évolutif de gestion des données de télédétection, introduisant unearchitecture distribuée pour gérer des données massives de télédétection haute résolution,et une approche basée sur l’apprentissage profond et les drones pour une détection efficacedes palmiers. Cette approche révolutionnaire accélère non seulement la collecte de données,réduit les erreurs et améliore la prise de décision, mais contribue également de manière significativeà la durabilité de l’industrie du palmier et s’aligne sur les objectifs de développementdurable (ODD). De plus, l’étude présente une solution innovante pour une culture durabledu palmier en intégrant la vision par ordinateur, l’apprentissage profond, l’IdO et les donnéesgéospatiales pour la détection précoce et la cartographie des infestations du charançon rougedu palmier (RPW). Atteignant une précision et un taux de détection de 98.8%-99.5% avecun modèle personnalisé d’apprentissage profond, cette stratégie technologique permet unecartographie complète, une surveillance et une gestion ciblée de la propagation du RPW,bénéficiant aux organismes agricoles, aux cultivateurs et aux chercheurs.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationDoctoral thesis . 2023Full-Text: https://hal.science/tel-04364814/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::6ff72525ba4d636acf64ab4fd702fdaf&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationDoctoral thesis . 2023Full-Text: https://hal.science/tel-04364814/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::6ff72525ba4d636acf64ab4fd702fdaf&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023 EnglishPublisher:HAL CCSD Barreteau, Olivier; Abrami, Geraldine; Adoir, Emilie; Armani, Gilles; Grillot, Jules; Leteurtre, Elsa; Luzi, Hugo; Malingrey, Stéphanie; Rabotin, Michael; Seguin, Laura; Carluer, Nadia; Lauvernet, Claire; Gouy Boussada, Véronique;International audience; Serious games have so far hardly explored the issue of water quality protection in agricultural catchments, while it is key to succeed agroecological transition in this type of landscape, in order to keep agricultural land uses while drastically decreasing chemicals to reach the rivers. Complexity of factors to be represented explain this lack of experience with games to explore this situation in a strategic and collective way. We developed CAUSERIE a metagame to be specified in various agricultural catchment to explore transition pathways that include collective action aside individual practices improvement. It worked out the complexity of this issue through time representation at the scale of crop rotation and the use of a GIS-based model to compute consequences of players' choices. Interface with this computer is mediated by one dedicated facilitator, decreasing the capture of players attention by the screen interface, as reported in other examples of computer assisted game simulation. Initial sessions of these games are promising as they could point out the difficulty to explore solutions on a collective basis even though these might be more efficient, but unfitting professional biases.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::cc4102e1d49c3a0a17f2121f409b1e93&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::cc4102e1d49c3a0a17f2121f409b1e93&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint 2023 France EnglishPublisher:HAL CCSD Authors: Verma, Sagar; Gupta, Siddharth; Gupta, Kavya;Verma, Sagar; Gupta, Siddharth; Gupta, Kavya;Remote sensing is crucial in various domains, such as agriculture, urban planning, environmental monitoring, and disaster management. However, acquiring real-world remote sensing data can be challenging due to cost, logistical constraints, and privacy concerns. To overcome these limitations, synthetic data has emerged as a promising approach. We present an overview of the use of synthetic data for remote sensing applications.In this regard, we address three conditions that can drastically affect the optimization of computer vision algorithms: lighting conditions, fidelity of the 3D model, and resolution of the synthetic imagery data. We propose a highly configurable pipeline called Synthetix as part of our GeoEngine platform for synthetic data generation. Synthetix allows us to quickly create large amounts of aerial and satellite imagery under varying conditions, given a few samples of 3D objects on real-world scenes. We demonstrate our pipeline’s effectiveness by generating 3D scenes from 35 real-world locations and utilizing these scenes to generate different versions of datasets and answer the three questions. We conduct an in-depth ablation study and show that considering different environments and weather conditions increases the reliability and robustness of the deep learning networks.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::46a14d5ad1ebbd414a6045a0b9ee83a5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::46a14d5ad1ebbd414a6045a0b9ee83a5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint 2023 France EnglishPublisher:HAL CCSD Leliaert, Frederik; Bogaerts, Ann; de Meeter, Niko; Dessein, Steven; Dillen, Mathias; Engledow, Henry; Groom, Quentin; Lanata, Francesca; Mergen, Patricia; Ntore, Salvator; Stoffelen, Piet; Trekels, Maarten; de Smedt, Sofie;Collected over centuries of field explorations, herbarium collections provide a permanent record of global plant diversity. Knowledge derived from specimens has made important contributions to botanical research. However, collections are still underused due to their accessibility, which is especially critical for researchers from developing countries. The earliest collections in tropical regions were often made during European exploring expeditions, and a large share of these specimens are stored in European institutions, hampering traceability. Digitisation of collections removes the obstacle of untraceability. Meise Botanic Garden made significant efforts in digitising its herbarium collections, including the largest collection of vascular plants from Central Africa on a global scale, increasing knowledge-sharing and collaboration with researchers from DR Congo, Rwanda and Burundi. In addition, Meise Botanic Garden continues its efforts in rehabilitation and digitisation of collections housed in tropical African institutions, including the Herbarium of the Institut National pour l'Étude et la Recherche Agronomiques at the Yangambi Research Station. The European initiative DiSSCo (Distributed System of Scientific Collections) offers new perspectives for increasing access to digital collections by ensuring that all collection data is easily findable and accessible.; Collectées au cours de siècles d'explorations sur le terrain, les collections d'herbiers constituent un registre permanent de la diversité végétale mondiale. Les connaissances dérivées des spécimens ont apporté d'importantes contributions à la recherche botanique. Cependant, les collections sont encore sous-utilisées en raison de leur accessibilité, ce qui est particulièrement important pour les chercheurs des pays en développement. Les premières collections dans les régions tropicales ont souvent été réalisées au cours d'expéditions d'exploration européennes, et une grande partie de ces spécimens sont stockés dans des institutions européennes, ce qui entrave la traçabilité. La numérisation des collections élimine l'obstacle de la non-traçabilité. Le jardin botanique de Meise a déployé des efforts considérables pour numériser ses collections d'herbiers, notamment la plus grande collection de plantes vasculaires d'Afrique centrale à l'échelle mondiale, ce qui a permis d'accroître le partage des connaissances et la collaboration avec les chercheurs de la République démocratique du Congo, du Rwanda et du Burundi. En outre, le Jardin botanique de Meise poursuit ses efforts de réhabilitation et de numérisation des collections conservées dans les institutions d'Afrique tropicale, notamment l'herbier de l'Institut national pour l'étude et la recherche agronomiques à la station de recherche de Yangambi. L'initiative européenne DiSSCo (Distributed System of Scientific Collections) offre de nouvelles perspectives pour accroître l'accès aux collections numériques en veillant à ce que toutes les données des collections soient facilement trouvables et accessibles.
HAL Descartes; Mémoi... arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la CommunicationPreprint . 2023License: CC BYFull-Text: https://hal.science/hal-04373221/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::911f11e7f344c254e0f54225ce59f8ce&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert HAL Descartes; Mémoi... arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la CommunicationPreprint . 2023License: CC BYFull-Text: https://hal.science/hal-04373221/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::911f11e7f344c254e0f54225ce59f8ce&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Conference object 2024 France EnglishPublisher:HAL CCSD Authors: Fedrecheski, Geovane; Vučinić, Mališa; Watteyne, Thomas;Fedrecheski, Geovane; Vučinić, Mališa; Watteyne, Thomas;International audience; Authenticated key exchange protocols play a crucial role in the communication security stack of an Internet-of-Things (IoT) device: they authenticate the communicating parties and establish a shared symmetric secret between them.Following a large debate in the community, the Internet Engineering Task Force (IETF) has recently standardized a new protocol called EDHOC for authenticated key exchange targeting IoT environments.The EDHOC protocol performs a compact Diffie-Hellman key exchange handshake, requiring several times less bytes-over-the-air than the de-facto solution used in the Internet, the (D)TLS protocol.In this paper, we study how this reduction in message size correlates with the usage of other scarce resources in IoT environments: time, energy, and memory.We evaluate EDHOC and DTLS with different authentication configurations over two IoT radio technologies.First, we measure the EDHOC and DTLS handshakes on constrained hardware over an IEEE 802.15.4 radio.We observe that EDHOC achieves ×6 to ×14 reduction in packet sizes, ×1.44 improvement in handshake duration and ×2.79 reduction in energy consumed.Next, we simulate time on air on LoRaWAN networks and find that, in the most restrictive configuration (SF=12), DTLS uses at least ×7 more time on air than EDHOC.Finally, we measure flash memory and RAM usage, with the EDHOC implementation achieving a ×4 reduction in both.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2024Full-Text: https://hal.science/hal-04382397/documentINRIA a CCSD electronic archive serverConference object . 2024Full-Text: https://hal.science/hal-04382397v2/documentData sources: INRIA a CCSD electronic archive serverAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::3032c1ea128b0e82f517e585e297a40b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2024Full-Text: https://hal.science/hal-04382397/documentINRIA a CCSD electronic archive serverConference object . 2024Full-Text: https://hal.science/hal-04382397v2/documentData sources: INRIA a CCSD electronic archive serverAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::3032c1ea128b0e82f517e585e297a40b&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint 2024 France EnglishPublisher:HAL CCSD Authors: Sathya, Ajay; Carpentier, Justin;Sathya, Ajay; Carpentier, Justin;Rigid-body dynamics algorithms have played an essential role in robotics development. By finely exploiting the underlying robot structure, they allow the computation of the robot kinematics, dynamics, and related physical quantities with low complexity, enabling their integration into chipsets with limited resources or their evaluation at very high frequency for demanding applications (e.g., model predictive control, largescale simulation, reinforcement learning, etc.) While most of these algorithms operate on constraint-free settings, only a few have been proposed so far to adequately account for constrained dynamical systems while depicting low algorithmic complexity. In this article, we introduce a series of new algorithms with reduced (and lowest) complexity for the forward simulation of constrained dynamical systems. Notably, we revisit the so-called articulated body algorithm (ABA) and the Popov-Vereshchagin algorithm (PV) in the light of proximal-point optimization and introduce two new algorithms, called constrainedABA and proxPV. These two new algorithms depict linear complexities while being robust to singular cases (e.g., redundant constraints, singular constraints, etc.). We establish the connection with existing literature formulations, especially the relaxed formulation at the heart of the MuJoCo and Drake simulators. We also propose an efficient and new algorithm to compute the damped Delassus inverse matrix with the lowest known computational complexity. All these algorithms have been implemented inside the open-source framework Pinocchio and depict, on a wide range of robotic systems ranging from robot manipulators to complex humanoid robots, state-of-the-art performances compared to alternative solutions of the literature.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::aa2bbe72c36cb4c9d668a4589db470db&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report , Other literature type 2024 EnglishPublisher:Unpublished Authors: Mtiraoui, Abderraouf, Ben Ahmed;Mtiraoui, Abderraouf, Ben Ahmed;L’objectif principal de ce projet est d’étudier les effets directs et indirects de la digitalisation sur consommation énergétique à travers la décision de l’action du pouvoir public pour les économies de la région MENA.Plus précisément, nous espérons apporter des réponses aux questions suivantes:•Comment peut-on mesurer le concept de la digitalisation? Comment pouvons-nous justifier la conceptualisation de ces mesures sur le plan théorique?•Quel est le rôle de l’action du pouvoir public d’améliorer l’efficacité des services publics tout en réduisant la consommation énergétique.•Quelle est l’effet de digitalisation sur la création de la richesse de la région MENA ?•Quelle est l’impact de la consommation énergétique sur l’économie de la région MENA ?•Quelles sont les stratégies politiques efficaces de gestion énergétique qui peuvent avoir des effets significatifs dans un contexte de digitalisation sur les économies de la région MENA. La réponse à ces questions nous permettra de disposer d’une base utile pour formuler le modèle conceptuel et les hypothèses de notre recherche.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.13140/rg.2.2.25536.10248&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 France EnglishPublisher:HAL CCSD Authors: Moreno Nieto, Juana; Décosse, Frédéric;Moreno Nieto, Juana; Décosse, Frédéric;La revue n'est plus éditée par Wiley; International audience; The Covid 19 pandemic caused major changes in the global economy, paralysing a large part of production and revealing the importance of those sectors necessary for the reproduction of life, whose essential workers had to maintain their activity despite the danger of contagion. This article focuses on the case of Latin American day labourers in Provençal agriculture. We aim to capture the way in which part of the migrant labour force residing in Spain was expelled to the agro-industrial production enclave of the neighbouring country. To do so, we propose an analysis of labour and mobility trajectories between Spain and France. In addition to an approach to the strategies of social reproduction and the subjectivities of the social actors, this will allow us to identify dynamics of a more global and collective nature (Dombois, 1998), related to the agricultural labour market. We note that, while joining the French agricultural sector has given them access to employment and higher wages, it has also confronted them with the harsh conditions and high work rate involved in intensive agriculture. This has also weakened their positions due to a lack of knowledge of the language and the constraints of living in a highly segregated rural environment. The article seeks to explore the invisible side of essential work and to point out how these trajectories have been affected by both the material and symbolic violence that sustains the contemporary agri-food production model.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______3430::08645b573975b943bcb02941c2a67c45&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023 EnglishPublisher:HAL CCSD Authors: Yousra, El, Kihel; Soufiane, Embarki;Yousra, El, Kihel; Soufiane, Embarki;International audience; The development of the Internet of Things (IOT) has made it easier to obtain real-time data related to the supply chain for food distribution's traceability management. In this study, we suggest digitally transforming the supply chain for seafood distribution. In order to provide better visibility of both traceability data and the parameters that need to be tracked in real time, we are creating solutions based on the application of IoT in the cold chain. In order to guarantee high product quality at the lowest possible cost and time during the shipping of products, suppliers and consumers will have increased access to this information
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::d34974ca475f9086d8f162448ab79879&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2023 EnglishPublisher:HAL CCSD Authors: Battesti, Vincent; Marty, Léo;Battesti, Vincent; Marty, Léo;Report and scientific justification of the project: al-Ula AS Project : Anthropological survey of al-‘Ulā community and its oasis system. (Saudi Arabia)Annual Report to AFALULA (Agence française pour le développement d'al-Ula) & RCU (Royal Commission for AlUla).; Rapport et justification scientifique du projet: al-Ula AS Project : Anthropological survey of al-‘Ulā community and its oasis system. (Arabie saoudite)Rapport annuel à AFALULA (Agence française pour le développement d'al-Ula) & RCU (Royal Commission for AlUla).
Mémoires en Sciences... arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::2e6385b0242abf0fce189c896a95512c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::2e6385b0242abf0fce189c896a95512c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Doctoral thesis 2023 EnglishPublisher:HAL CCSD Authors: Hajjaji, Yosra;Hajjaji, Yosra;In the era of precision agriculture, where a 70% increase in global food production is imperative,this research unfolds as a transformative force propelled by data-driven methodologies.Focusing on the vital realm of palm cultivation, which is particularly crucial for date palmproduction and environmental balance, this study tackles the challenges posed by diverseand voluminous data through the integration of remote sensing big data and the Internet ofThings (IoT). The central stage is deep learning, ushering in a new era of smart precisionagriculture tailored for effective palm management. Three key challenges were addressed:agricultural data management, palm tree detection and counting, and pest and disease management,all with the overarching goal of fortifying resilience, productivity, and sustainabilityin palm production. The contributions of this research are manifested in a scalable remotesensing data management model, the introduction of a distributed architecture to handlemassive, high-resolution remote sensing data, and a deep learning and UAV-based approachfor efficient palm tree detection. This revolutionary approach not only accelerates data collection,reduces errors, and enhances decision-making but also contributes significantly to thesustainability of the palm industry and aligns with Sustainable Development Goals (SDGs).Additionally, this study presents an innovative solution for sustainable palm cultivation byintegrating computer vision, deep learning, IoT, and geospatial data for the early detectionand mapping of Red Palm Weevil (RPW) infestations. Achieving 98.8%-99.5% accuracy anddetection rate with a custom DL model, this technology-driven strategy enables comprehensivemapping, monitoring, and targeted management of RPW spread, benefiting agriculturalagencies, growers, and researchers.; À l’ère de l’agriculture de précision, où une augmentation de 70 % de la production alimentairemondiale est impérative, cette recherche se dévoile comme une force transformative, propulséepar des méthodologies axées sur les données. Axée sur le domaine vital de la culturedu palmier, particulièrement cruciale pour la production d’huile de palme et l’équilibre environnemental,l’étude aborde les défis posés par des données diverses et volumineuses grâce àl’intégration de données massives de télédétection et de l’Internet des objets (IdO). Le protagonistede cette scène est l’apprentissage profond, inaugurant une nouvelle ère d’agriculture deprécision intelligente adaptée à une gestion efficace des palmiers. Trois défis clés sont abordés:la gestion des données agricoles, la détection et le comptage des palmiers, ainsi que la gestiondes ravageurs et des maladies, le tout dans le but ultime de renforcer la résilience, la productivitéet la durabilité de la production de palmiers. Les contributions de cette recherche semanifestent par un modèle évolutif de gestion des données de télédétection, introduisant unearchitecture distribuée pour gérer des données massives de télédétection haute résolution,et une approche basée sur l’apprentissage profond et les drones pour une détection efficacedes palmiers. Cette approche révolutionnaire accélère non seulement la collecte de données,réduit les erreurs et améliore la prise de décision, mais contribue également de manière significativeà la durabilité de l’industrie du palmier et s’aligne sur les objectifs de développementdurable (ODD). De plus, l’étude présente une solution innovante pour une culture durabledu palmier en intégrant la vision par ordinateur, l’apprentissage profond, l’IdO et les donnéesgéospatiales pour la détection précoce et la cartographie des infestations du charançon rougedu palmier (RPW). Atteignant une précision et un taux de détection de 98.8%-99.5% avecun modèle personnalisé d’apprentissage profond, cette stratégie technologique permet unecartographie complète, une surveillance et une gestion ciblée de la propagation du RPW,bénéficiant aux organismes agricoles, aux cultivateurs et aux chercheurs.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationDoctoral thesis . 2023Full-Text: https://hal.science/tel-04364814/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::6ff72525ba4d636acf64ab4fd702fdaf&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationDoctoral thesis . 2023Full-Text: https://hal.science/tel-04364814/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::6ff72525ba4d636acf64ab4fd702fdaf&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2023 EnglishPublisher:HAL CCSD Barreteau, Olivier; Abrami, Geraldine; Adoir, Emilie; Armani, Gilles; Grillot, Jules; Leteurtre, Elsa; Luzi, Hugo; Malingrey, Stéphanie; Rabotin, Michael; Seguin, Laura; Carluer, Nadia; Lauvernet, Claire; Gouy Boussada, Véronique;International audience; Serious games have so far hardly explored the issue of water quality protection in agricultural catchments, while it is key to succeed agroecological transition in this type of landscape, in order to keep agricultural land uses while drastically decreasing chemicals to reach the rivers. Complexity of factors to be represented explain this lack of experience with games to explore this situation in a strategic and collective way. We developed CAUSERIE a metagame to be specified in various agricultural catchment to explore transition pathways that include collective action aside individual practices improvement. It worked out the complexity of this issue through time representation at the scale of crop rotation and the use of a GIS-based model to compute consequences of players' choices. Interface with this computer is mediated by one dedicated facilitator, decreasing the capture of players attention by the screen interface, as reported in other examples of computer assisted game simulation. Initial sessions of these games are promising as they could point out the difficulty to explore solutions on a collective basis even though these might be more efficient, but unfitting professional biases.
Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::cc4102e1d49c3a0a17f2121f409b1e93&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::cc4102e1d49c3a0a17f2121f409b1e93&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint 2023 France EnglishPublisher:HAL CCSD Authors: Verma, Sagar; Gupta, Siddharth; Gupta, Kavya;Verma, Sagar; Gupta, Siddharth; Gupta, Kavya;Remote sensing is crucial in various domains, such as agriculture, urban planning, environmental monitoring, and disaster management. However, acquiring real-world remote sensing data can be challenging due to cost, logistical constraints, and privacy concerns. To overcome these limitations, synthetic data has emerged as a promising approach. We present an overview of the use of synthetic data for remote sensing applications.In this regard, we address three conditions that can drastically affect the optimization of computer vision algorithms: lighting conditions, fidelity of the 3D model, and resolution of the synthetic imagery data. We propose a highly configurable pipeline called Synthetix as part of our GeoEngine platform for synthetic data generation. Synthetix allows us to quickly create large amounts of aerial and satellite imagery under varying conditions, given a few samples of 3D objects on real-world scenes. We demonstrate our pipeline’s effectiveness by generating 3D scenes from 35 real-world locations and utilizing these scenes to generate different versions of datasets and answer the three questions. We conduct an in-depth ablation study and show that considering different environments and weather conditions increases the reliability and robustness of the deep learning networks.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::46a14d5ad1ebbd414a6045a0b9ee83a5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______165::46a14d5ad1ebbd414a6045a0b9ee83a5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint 2023 France EnglishPublisher:HAL CCSD Leliaert, Frederik; Bogaerts, Ann; de Meeter, Niko; Dessein, Steven; Dillen, Mathias; Engledow, Henry; Groom, Quentin; Lanata, Francesca; Mergen, Patricia; Ntore, Salvator; Stoffelen, Piet; Trekels, Maarten; de Smedt, Sofie;Collected over centuries of field explorations, herbarium collections provide a permanent record of global plant diversity. Knowledge derived from specimens has made important contributions to botanical research. However, collections are still underused due to their accessibility, which is especially critical for researchers from developing countries. The earliest collections in tropical regions were often made during European exploring expeditions, and a large share of these specimens are stored in European institutions, hampering traceability. Digitisation of collections removes the obstacle of untraceability. Meise Botanic Garden made significant efforts in digitising its herbarium collections, including the largest collection of vascular plants from Central Africa on a global scale, increasing knowledge-sharing and collaboration with researchers from DR Congo, Rwanda and Burundi. In addition, Meise Botanic Garden continues its efforts in rehabilitation and digitisation of collections housed in tropical African institutions, including the Herbarium of the Institut National pour l'Étude et la Recherche Agronomiques at the Yangambi Research Station. The European initiative DiSSCo (Distributed System of Scientific Collections) offers new perspectives for increasing access to digital collections by ensuring that all collection data is easily findable and accessible.; Collectées au cours de siècles d'explorations sur le terrain, les collections d'herbiers constituent un registre permanent de la diversité végétale mondiale. Les connaissances dérivées des spécimens ont apporté d'importantes contributions à la recherche botanique. Cependant, les collections sont encore sous-utilisées en raison de leur accessibilité, ce qui est particulièrement important pour les chercheurs des pays en développement. Les premières collections dans les régions tropicales ont souvent été réalisées au cours d'expéditions d'exploration européennes, et une grande partie de ces spécimens sont stockés dans des institutions européennes, ce qui entrave la traçabilité. La numérisation des collections élimine l'obstacle de la non-traçabilité. Le jardin botanique de Meise a déployé des efforts considérables pour numériser ses collections d'herbiers, notamment la plus grande collection de plantes vasculaires d'Afrique centrale à l'échelle mondiale, ce qui a permis d'accroître le partage des connaissances et la collaboration avec les chercheurs de la République démocratique du Congo, du Rwanda et du Burundi. En outre, le Jardin botanique de Meise poursuit ses efforts de réhabilitation et de numérisation des collections conservées dans les institutions d'Afrique tropicale, notamment l'herbier de l'Institut national pour l'étude et la recherche agronomiques à la station de recherche de Yangambi. L'initiative européenne DiSSCo (Distributed System of Scientific Collections) offre de nouvelles perspectives pour accroître l'accès aux collections numériques en veillant à ce que toutes les données des collections soient facilement trouvables et accessibles.
HAL Descartes; Mémoi... arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la CommunicationPreprint . 2023License: CC BYFull-Text: https://hal.science/hal-04373221/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::911f11e7f344c254e0f54225ce59f8ce&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert HAL Descartes; Mémoi... arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la CommunicationPreprint . 2023License: CC BYFull-Text: https://hal.science/hal-04373221/documentAll Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od_______212::911f11e7f344c254e0f54225ce59f8ce&type=result"></script>'); --> </script>
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