17 research outputs found

    Prediction of super-secondary structure in α-helical and ÎČ-barrel transmembrane proteins

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    International audienceA dynamic programming algorithm is proposed to predict the structure of different families of proteins and is tested with the b-barrel transmembrane proteins.Un algorithme est proposé qui permet, par programmation dynamique, de prédire la strucutre de différentes familles de protéines. Il est testé sur les proteeines transmembranaires (beta)

    Altimetry for the future: Building on 25 years of progress

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    In 2018 we celebrated 25 years of development of radar altimetry, and the progress achieved by this methodology in the fields of global and coastal oceanography, hydrology, geodesy and cryospheric sciences. Many symbolic major events have celebrated these developments, e.g., in Venice, Italy, the 15th (2006) and 20th (2012) years of progress and more recently, in 2018, in Ponta Delgada, Portugal, 25 Years of Progress in Radar Altimetry. On this latter occasion it was decided to collect contributions of scientists, engineers and managers involved in the worldwide altimetry community to depict the state of altimetry and propose recommendations for the altimetry of the future. This paper summarizes contributions and recommendations that were collected and provides guidance for future mission design, research activities, and sustainable operational radar altimetry data exploitation. Recommendations provided are fundamental for optimizing further scientific and operational advances of oceanographic observations by altimetry, including requirements for spatial and temporal resolution of altimetric measurements, their accuracy and continuity. There are also new challenges and new openings mentioned in the paper that are particularly crucial for observations at higher latitudes, for coastal oceanography, for cryospheric studies and for hydrology. The paper starts with a general introduction followed by a section on Earth System Science including Ocean Dynamics, Sea Level, the Coastal Ocean, Hydrology, the Cryosphere and Polar Oceans and the ‘‘Green” Ocean, extending the frontier from biogeochemistry to marine ecology. Applications are described in a subsequent section, which covers Operational Oceanography, Weather, Hurricane Wave and Wind Forecasting, Climate projection. Instruments’ development and satellite missions’ evolutions are described in a fourth section. A fifth section covers the key observations that altimeters provide and their potential complements, from other Earth observation measurements to in situ data. Section 6 identifies the data and methods and provides some accuracy and resolution requirements for the wet tropospheric correction, the orbit and other geodetic requirements, the Mean Sea Surface, Geoid and Mean Dynamic Topography, Calibration and Validation, data accuracy, data access and handling (including the DUACS system). Section 7 brings a transversal view on scales, integration, artificial intelligence, and capacity building (education and training). Section 8 reviews the programmatic issues followed by a conclusion

    Altimetry for the future: building on 25 years of progress

    Get PDF
    In 2018 we celebrated 25 years of development of radar altimetry, and the progress achieved by this methodology in the fields of global and coastal oceanography, hydrology, geodesy and cryospheric sciences. Many symbolic major events have celebrated these developments, e.g., in Venice, Italy, the 15th (2006) and 20th (2012) years of progress and more recently, in 2018, in Ponta Delgada, Portugal, 25 Years of Progress in Radar Altimetry. On this latter occasion it was decided to collect contributions of scientists, engineers and managers involved in the worldwide altimetry community to depict the state of altimetry and propose recommendations for the altimetry of the future. This paper summarizes contributions and recommendations that were collected and provides guidance for future mission design, research activities, and sustainable operational radar altimetry data exploitation. Recommendations provided are fundamental for optimizing further scientific and operational advances of oceanographic observations by altimetry, including requirements for spatial and temporal resolution of altimetric measurements, their accuracy and continuity. There are also new challenges and new openings mentioned in the paper that are particularly crucial for observations at higher latitudes, for coastal oceanography, for cryospheric studies and for hydrology. The paper starts with a general introduction followed by a section on Earth System Science including Ocean Dynamics, Sea Level, the Coastal Ocean, Hydrology, the Cryosphere and Polar Oceans and the “Green” Ocean, extending the frontier from biogeochemistry to marine ecology. Applications are described in a subsequent section, which covers Operational Oceanography, Weather, Hurricane Wave and Wind Forecasting, Climate projection. Instruments’ development and satellite missions’ evolutions are described in a fourth section. A fifth section covers the key observations that altimeters provide and their potential complements, from other Earth observation measurements to in situ data. Section 6 identifies the data and methods and provides some accuracy and resolution requirements for the wet tropospheric correction, the orbit and other geodetic requirements, the Mean Sea Surface, Geoid and Mean Dynamic Topography, Calibration and Validation, data accuracy, data access and handling (including the DUACS system). Section 7 brings a transversal view on scales, integration, artificial intelligence, and capacity building (education and training). Section 8 reviews the programmatic issues followed by a conclusion

    Sur l'utilisation d'un SGBD relationnel pour la gestion d'une base de données image

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    Dans cette note nous prĂ©sentons un projet original pour la rĂ©alisation d'une base de donnĂ©es orientĂ©e vers la synthĂšse d'images et d'animations. L'intĂ©rĂȘt de ce systĂšme est de permettre la gestion conjointe de donnĂ©es iconographiques et sĂ©mantiques et donc d'associer finement la forme et le fond. Pour des raisons de performance ce systĂšme est rĂ©alisĂ© par la connexion de deux machines spĂ©cialisĂ©es: - une Machine Iconographique chargĂ©e de la gĂ©nĂ©ration et de la gestion physique des images; - un SystĂšme de Gestion de Base de DonnĂ©es Relationnel permettant: I) de mĂ©moriser des programmes de synthĂšse en relation avec d'autres informations, ii) d'y accĂ©der par des requĂȘtes variĂ©es. Une interface utilisateur met la souplesse inhĂ©rente au SGBDR au service d'une large interactivitĂ©. Une interface de connexion gĂ©nĂšre, Ă  partir des donnĂ©es extraites du SGBDR, les commandes pour piloter la MI. Enfin, ce schĂ©ma peut ĂȘtre Ă©tendu pour confĂ©rer au systĂšme: - des aptitudes Ă  une synthĂšse automatique et - la possibilitĂ© de piloter une machine iconographique Ă  architecture parallĂšle fonctionnant selon un principe '«image Flow'

    Rendre visible la face cachĂ©e de l’iceberg. Explorer les documents manuscrits Ă  l’aide de l’intelligence artificielle

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    ArchĂ©orient - Le BlogCompte rendu de la 3e confĂ©rence des utilisateurs de Transkribus (Transkribus User Conference 2020) qui s'est tenue les 6 et 7 fĂ©vrier 2020 Ă  l’universitĂ© d’Innsbruck (Autriche). FondĂ©e sur l'intelligence artificielle, la plateforme Transkribus permet la reconnaissance des Ă©critures manuscrites et des imprimĂ©s anciens aprĂšs une phase d’apprentissage supervisĂ©.Le billet est publiĂ© sur le carnet de recherche du laboratoire ArchĂ©orient : https://archeorient.hypotheses.org/14807

    Extraire et structurer des informations gĂ©ographiques sur les lieux de fouille archĂ©ologiques : l’exemple du rĂ©fĂ©rentiel du site de Bibracte

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    Le point de dĂ©part de ce travail en cours sur les toponymes du site de Bibracte est le projet « Bulliot, Bibracte et moi », laurĂ©at de l’appel 2019 Services numĂ©riques innovants du ministĂšre de la Culture. Ce projet forme le WP 6 du projet HyperThesau et vise la transcription collaborative et l’édition numĂ©rique des carnets de fouille manuscrits de Jacques-Gabriel Bulliot (1817-1902), qui a fouillĂ© le site de Bibracte entre 1867 et 1895. Ce travail Ă©ditorial suppose une indexation fine des noms de lieux de fouille afin de naviguer dans le corpus qui doit ĂȘtre publiĂ© dans une persĂ©ĂŻde sur la plateforme PersĂ©e. Cette prĂ©sentation est organisĂ©e en 3 parties : un rappel des principes du web sĂ©mantique et de ce qu’ils impliquent pour la publication des donnĂ©es de la recherche, le travail d'inventaire des toponymes du mont Beuvray s et la structuration des donnĂ©es gĂ©ographiques dans un thĂ©saurus.Ce document de travail a Ă©tĂ© prĂ©sentĂ© lors d'un sĂ©minaire du projet HyperThesau le 8 juillet 202

    Extraire et structurer des informations géographiques sur les lieux de fouille archéologiques : le référentiel du site de Bibracte (mont Beuvray, Morvan)

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    International audienceOur proposal will present a case study on modelling archaeological places as part of research project “Bulliot, Bibracte et moi”, with a thesaurus of mount Beuvray’s field names in connection to excavation sites. Bibracte, a Gaulish oppidum, capital of the Aedui, was situated on top of this mount, near modern-day Autun in Burgundy. Archaeological research took place in two periods. From 1864 to 1907, excavations were carried out under the direction of Xavier Garenne, Jacques-Gabriel Bulliot and Joseph DĂ©chelette. Then in 1984, research started again with the creation of European Archaeological Center, combining a research center and a museum. The thesaurus of mount Beuvray in addition to linking place names and excavation sites aims to retrieve data and information in legacy systems, to map relations between the 19th century archives and contemporary documentation, that is to say heterogeneous and dynamic archaeological data from distributed sources. We use Opentheso, a web-based thesaurus management tool dedicated to the management of vocabularies, developed by the CNRS. This software makes it possible to export data in SKOS format, a standard way to represent knowledge organization systems using the Resource Description Framework (RDF). According to authority repositories such as Rameau or IdRef, geographical names are divided into several categories: human geography which consists of administrative divisions and human constructions, ancient geographical names and physical geography including geographical features and natural regions.It appears necessary to combine controlled vocabulary and data model in order to finely describe the concept of place – as geographical space - and concept of place name – how we name this space. But modelling archaeological places provides challenges to semantic web ontology research. Field names are not stable or reliable identifiers. Place name’s spelling is not fixed (CĂŽme-Chaudron, Comme Chaudron, Caume Chaudron, CC, Come Chaudron). Different names are used from different times and authorities. Geographical boundaries may vary. As an example, Parc aux Chevaux area increases as archaeological discoveries progress and this term was not used as a toponym before the Bulliot excavations. The meaning of the place name may change although the name remains the same: start from original field name then change in cadastral plot, excavation site and finally with archaeological structures (e.g. hydraulic structures, religious institutions, dwellings or workshops) from different periods. So, we process two kinds of multilayered data : geographical areas and archaeological structures.Before the Napoleonic cadastre, the section state in 1792 of the village of Glux (Current Territory of Bibracte) uses place names to locate properties and calculate taxes. Without maps, the areas delimited by these toponyms have become approximate or even impossible to identify today because it only made sense if accompanied by a local oral tradition contemporary to the register.By mapping land use from 1811, the Napoleonic cadastre resolved this problem of transmitting the location of properties. But the new criteria of taxation due to the empire, by modifying and multiplying the boundaries of plots, forced expert surveyors to adapt old toponyms to new surfaces. In consultation with the local authorities, only the most representative toponyms have been selected and allocated to the modified area. During the cadastral regrouping from the 1960s, the place names suffered new cuts on the maps of the territory around mount Beuvray.Moreover toponymy was early associated with archaeology, particularly for prospecting and etymology of place names. Handle with care, recent studies show that etymology is not a science in archaeology but only a question. In Bibracte from the first excavations, the old names of place names and the new names were mixed without distinction as archeologic and spatial indicators of the excavated structures (e.g., Champlain, Les Barlots, CĂŽme-Chaudron). The old toponyms have been often diverted from their original meaning and today it is difficult to differentiate the true from the false (how delimit Place de la foire between La Terrasse or La Chaume ?). Modelling archaeological places is also modelling change in scientific knowledge. We need to express hierarchical link between two place names and the change in hierarchy (e.g. Is monastery part of “PatĂ»re du Couvent”? if so, which is broader?) Information may be uncertain or conflicting, for instance, “Fontaine aux Larmes » and « Pierre de la Wivre » overlap according to some authors, some others distinguish between them. Bulliot and DĂ©chelette named PC 33 (Parc aux Chevaux 33) two different structures located in two different places. We don’t know today where was the “Oval House” discovered in 1864. Each concept of place must be connected into temporal and geographical boundaries and with a bibliographical reference. This is the same approach when different structures have occupied the same place with different names. It’s the case of a domus built on a basilica and a forum (PĂąture du couvent); or Saint-Martin chapel built on a temple and Saint-Pierre fountain built on a thermal bath.To model the excavated areas and establish a spatial chronology, a part of our job is to differentiate the old toponyms from the toponyms invented since the beginning of the excavations by studying how the localities are formalized on the maps, in particular the old cadastres. Places and place names are central resources for indexing, aggregating and finding information. But toponyms are not stable and reliable identifiers. We should document each concept with machine readable and transparently modelling archaeological place definition related to a scholar and his works. The inventory of places and place names of mount Beuvray and their chronological, orthographic and spatial variables should enable us to standardize the scientific references necessary today for data retrieval and reuse
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