search
Include:
The following results are related to Rural Digital Europe. Are you interested to view more results? Visit OpenAIRE - Explore.
2,106 Research products, page 1 of 211

  • Rural Digital Europe
  • Part of book or chapter of book
  • Preprint
  • FR
  • Hyper Article en Ligne - Sciences de l'Homme et de la Société
  • HAL-Pasteur
  • arXiv.org e-Print Archive
  • HAL Descartes
  • INRIA a CCSD electronic archive server

10
arrow_drop_down
Relevance
arrow_drop_down
  • Open Access English
    Authors: 
    Clément Rolinat; Mathieu Grossard; Saifeddine Aloui; Christelle Godin;
    Publisher: HAL CCSD
    Country: France

    Grasp planning and most specifically the grasp space exploration is still an open issue in robotics. This article presents a data-driven oriented methodology to model the grasp space of a multi-fingered adaptive gripper for known objects. This method relies on a limited dataset of manually specified expert grasps, and uses variational autoencoder to learn grasp intrinsic features in a compact way from a computational point of view. The learnt model can then be used to generate new non-learnt gripper configurations to explore the grasp space. accepted at SYSID 2021 conference

  • Open Access English
    Authors: 
    Caterina Caracciolo; Sophie Aubin; Clement Jonquet; Emna Amdouni; Romain David; Leyla Garcia; Brandon Whitehead; Catherine Roussey; Armando Stellato; Ferdinando Villa;
    Publisher: HAL CCSD
    Countries: France, Spain
    Project: ANR | PHENOME (ANR-11-INBS-0012), EC | EPPN2020 (731013), EC | RDA Europe 4.0 (777388), EC | EOSC-Life (824087), ANR | D2KAB (ANR-18-CE23-0017)

    In this paper, we report on the outputs and adoption of the Agrisemantics Working Group of the Research Data Alliance (RDA), consisting of a set of recommendations to facilitate the adoption of semantic technologies and methods for the purpose of data interoperability in the field of agriculture and nutrition. From 2016 to 2019, the group gathered researchers and practitioners at the crossing point between information technology and agricultural science, to study all aspects in the life cycle of semantic resources: Conceptualization, edition, sharing, standardization, services, alignment, long term support. First, the working group realized a landscape study, a study of the uses of semantics in agrifood, then collected use cases for the exploitation of semantics resources a generic term to encompass vocabularies, terminologies, thesauri, ontologies. The resulting requirements were synthesized into 39 hints for users and developers of semantic resources, and providers of semantic resource services. We believe adopting these recommendations will engage agrifood sciences in a necessary transition to leverage data production, sharing and reuse and the adoption of the FAIR data principles. The paper includes examples of adoption of those requirements, and a discussion of their contribution to the field of data science. © 2020 The Author(s). Brandon Whitehead acknowledges with thanks the support of the CABI Development Fund. CABI is an international intergovernmental organization and we gratefully acknowledge the core financial support from our member countries (and lead agencies) including the United Kingdom (Department for International Development), China (Chinese Ministry of Agriculture), Australia (Australian Center for International Agricultural Research), Canada (Agriculture and Agri-Food Canada), Netherlands (Directorate-General for International Cooperation), and Switzerland (Swiss Agency for Development and Cooperation). See https:// www.cabi.org/about-cabi/who-we-work-with/key-donors/ for details. Sophie Aubin, Clement Jonquet, Emna Amdouni, Romain David and Catherine Roussey were supported, in part, by the French National Research Agency (ANR) Data to Knowledge in Agronomy and Biodiversity (D2KAB – www.d2kab.org – ANR-18-CE23-0017). Romain David was partly supported by the EPPN2020 project (H2020 grant N°731013), the EOSC-Life european program (grant agreement N°824087), the ‘Infrastructure Biologie Sante’ PHENOME-EMPHASIS project funded by the French National Research Agency (ANR-11-INBS-0012) and the ‘Programme d’Investissements d’Avenir’.

  • Publication . Part of book or chapter of book . 1997
    Italian
    Authors: 
    Beatrice von Hirschhausen;
    Publisher: HAL CCSD
    Country: France
  • English
    Authors: 
    Mangin, Olivier; Ouedeyer, Pierre-Yves;
    Publisher: HAL CCSD
    Country: France

    In this paper we study the question of life long learning of behaviors from human demonstrations by an intelligent system. One approach is to model the observed demonstrations by a stationary policy. Inverse rein-forcement learning, on the other hand, searches a reward function that makes the observed policy closed to optimal in the corresponding Markov decision process. This approach provides a model of the task solved by the demonstrator and has been shown to lead to better generalization in un-known contexts. However both approaches focus on learning a single task from the expert demonstration. In this paper we propose a feature learn-ing approach for inverse reinforcement learning in which several different tasks are demonstrated, but in which each task is modeled as a mixture of several, simpler, primitive tasks. We present an algorithm based on an al-ternate gradient descent to learn simultaneously a dictionary of primitive tasks (in the form of reward functions) and their combination into an ap-proximation of the task underlying observed behavior. We illustrate how this approach enables efficient re-use of knowledge from previous demon-strations. Namely knowledge on tasks that were previously observed by the learner is used to improve the learning of a new composite behavior, thus achieving transfer of knowledge between tasks.

  • English
    Authors: 
    Emetumah, Faisal,;
    Publisher: HAL CCSD
    Country: France

    International audience; It has been 35 years since Igbozurike and Raza (1983), and rural communities in Nigeria continue to face many of the challenges identified in the ARMTI seminar. Poverty and rural-urban migration remain widespread in Nigeria. Further issues of security and terrorism have also made their way into the array of problems facing rural communities in Nigeria. Therefore, the aim of this paper is to review the issues affecting the quality of life in 21st century rural Nigeria, in order to ascertain what has changed or remained the same since 1983. In achieving the study aim, the parameters used by Igbozurike and Raza (1983) will be linked with current literature on the quality of life in rural Nigeria. The paper will look at the following parameters: socioeconomic indicators, social services and infrastructure, nutritional status, population structure and mobility, institutional frameworks and the role of Agricultural Development Projects (ADPs).

  • Publication . Part of book or chapter of book . 2007
    Open Access French
    Authors: 
    ANDRÉ-LAMAT, Véronique; VAUCELLE, Sandrine;
    Publisher: SEDES
    Country: France
  • Publication . Part of book or chapter of book . 2018
    Open Access French
    Authors: 
    Thibault Bossy;
    Publisher: HAL CCSD
    Country: France
  • Publication . Article . Preprint . Other literature type . 2015
    Open Access English
    Authors: 
    Charles Hernandez; Philippe Drobinski; Solène Turquety; J.-L. Dupuy;
    Publisher: HAL CCSD
    Country: France

    Abstract. MODIS (Moderate Resolution Imaging Spectroradiometer) satellite observations of fire size and ERA-Interim meteorological reanalysis are used to derive a relationship between burnt area and wind speed over the Mediterranean region and Eastern Europe. The largest wildfire size does not show a strong response with respect to wind speed in Eastern Europe. In the Mediterranean, as intuitively expected, the burnt area associated with the largest wildfires is an increasing function of wind speed for moderate temperature anomalies. In situations of severe heatwaves, the relationship between burnt area and wind speed displays a bimodal shape. Burnt areas are large for low 10 m wind speed (lower than 2 m s−1), decrease for moderate wind speed values (lower than 5 m s−1 and larger than 2 m s−1) and increase again for high wind speed (higher than 5 m s−1). To explain such behavior we use a stochastic model of fire propagation, known as a probabilistic cellular automata. This model uses a probabilistic local rule to derive the total burnt area. The observed relationship between burnt area and wind speed can be interpreted in terms of percolation threshold above which the propagation in the model is infinite, which mainly depends on local terrain slope and vegetation state (type, density, fuel moisture). In Eastern Europe, the percolation threshold is never exceeded for observed wind speeds. In the Mediterranean Basin we see two behaviors. During moderately hot weather, the percolation threshold is passed when the wind grows strong. On the other hand, in situations of severe Mediterranean heatwaves, moderate wind speed values impair the propagation of the wildfire against the wind and do not sufficiently accelerate the forward propagation to allow a growth of wildfire size.

  • Publication . Part of book or chapter of book . 2016
    English
    Authors: 
    Laurent Herment; Annie Antoine;
    Publisher: HAL CCSD
    Country: France

    International audience

  • Open Access Spanish
    Authors: 
    Albaladejo, Christophe;
    Publisher: HAL CCSD
    Country: France

    Dinámica de la inserción territorial de la agricultura pampeana y emergencia del agribusiness