Search results for "SAGE"

showing 10 items of 1373 documents

Towards a Formal Analysis of MQtt Protocol in the Context of Communicating Vehicles

2017

International audience; The paper presents a formal approach to model, analyze, and verify a variant of Message Queue Telemetry Transport protocol (MQtt), dedicated to communicating vehicles (MQtt-CV) that send collected data to automotive infrastructures(subscribers). Our formal approach is based on Promela language and its system verification tool, the model checker SPIN. We propose a slight modification of MQtt protocol to reduce the big volume of data collected and sent by vehicles to infrastructures. Indeed, in the original version of MQtt protocol, when a broker receives data from publishers, it sends them directly to its subscribers without any filtration. As consequence, subscribers…

Model checkingComputer scienceDistributed computingAutomotive industryContext (language use)02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]0202 electrical engineering electronic engineering information engineeringProtocol (object-oriented programming)computer.programming_languageMQTTbusiness.industryVolume (computing)020206 networking & telecommunications020207 software engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationPromela[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessMessage queuecomputerComputer network
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Characterization of phenolic pellets for ESR dosimetry in photon beam radiotherapy

2017

This work deals with the dosimetric features of a particular phenolic compound (IRGANOX 1076 ® ) for dosimetry of clinical photon beams by using electron spin resonance (ESR) spectroscopy. After the optimization of the ESR readout parameters (namely modulation amplitude and microwave power) to maximise the signal without excessive spectrum distortions, basic dosimetric properties of laboratory-made phenolic dosimeters in pellet form, such as reproducibility, dose–response, sensitivity, linearity and dose rate dependence were investigated. The dosimeters were tested by measuring the depth dose profile of a 6 MV photon beam. A satisfactory intra-batch reproducibility of the ESR signal of the …

Models MolecularPhotonBiophysicsMolecular ConformationIRGANOX 1076 ®RadiationSignal030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineNuclear magnetic resonancePhenolsDosimetryDosimetrySpectroscopyMicrowavesRadiometryGeneral Environmental ScienceESRReproducibilityPhotonsDosimeterRadiationPhenolRadiotherapy2300ChemistryElectron Spin Resonance SpectroscopyRadiotherapy DosagePhotonBiophysic030220 oncology & carcinogenesisMicrowaveMicrowave
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Air-kerma evaluation at the maze entrance of HDR brachytherapy facilities.

2014

In the absence of procedures for evaluating the design of brachytherapy (BT) facilities for radiation protection purposes, the methodology used for external beam radiotherapy facilities is often adapted. The purpose of this study is to adapt the NCRP 151 methodology for estimating the air-kerma rate at the door in BT facilities. Such methodology was checked against Monte Carlo (MC) techniques using the code Geant4. Five different facility designs were studied for (192)Ir and (60)Co HDR applications to account for several different bunker layouts.For the estimation of the lead thickness needed at the door, the use of transmission data for the real spectra at the door instead of the ones emit…

Models Statisticalbusiness.industryComputer sciencemedicine.medical_treatmentMonte Carlo methodBrachytherapyBrachytherapyPublic Health Environmental and Occupational HealthGeneral MedicineRadiation DosageBunkerKermaRadiation ProtectionSpainmedicineScattering RadiationComputer SimulationHospital Design and ConstructionHealth FacilitiesRadiation protectionbusinessRadiometryWaste Management and DisposalMonte Carlo MethodSimulationJournal of radiological protection : official journal of the Society for Radiological Protection
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Diagnostic préalable à l'élaboration de la charte de paysage de Morez

2011

Réalisée pour le compte de la commune de Morez, cette recherche porte sur les caractéristiques paysagères actuelles. Deux temps principaux articuleront la démarche générale :Un état initial proposera une analyse de l’occupation du sol et du paysage visible en 2009. Ce diagnostic permettra d'identifier les enjeux d'ensemble.En second lieu, et au regard des enjeux identifiés, une série de préconisations en matière de gestion des paysages sera présentée.

Morez[SHS.GEO] Humanities and Social Sciences/Geographydiagnostic[SHS.GEO]Humanities and Social Sciences/Geographypaysage[ SHS.GEO ] Humanities and Social Sciences/Geography
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Les paysages forestiers de l’approvisionnement parisien : les conséquences environnementales du flottage dans le Haut Morvan montagnard (XIVe-XVIIIe …

2023

Morvanforêt[SHS] Humanities and Social SciencesFlottage à bûches perdueshistoire des paysagesGéographiehistoire des environnements
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Impact of carbon ion irradiation on epidermal growth factor receptor signaling and glioma cell migration in comparison to conventional photon irradia…

2013

PURPOSE: Radiotherapy of malignant gliomas may be limited by an interference of radiation with the migratory potential of tumor cells. Therefore, the influence of conventional photon and modern carbon ion ((12)C) irradiation on glioblastoma cell migration and on epidermal growth factor receptor-related (EGFR) signaling was investigated in vitro. MATERIALS AND METHods: EGFR overexpressing glioblastoma cell lines U87 EGFR++ and LN229 EGFR++ were irradiated with 0, 2 or 6 Gy photons or (12)C heavy ions. Migration was analyzed 24 h after treatment in a standardized Boyden Chamber assay. At different time points EGFR, protein kinase B (PKB/AKT) and extracellular signal-related kinases (ERK1/2) w…

MotilityRadiation DosageCell MovementEpidermal growth factorCell Line TumorGliomamedicineHumansHeavy IonsRadiology Nuclear Medicine and imagingEpidermal growth factor receptorProtein kinase BPhotonsRadiological and Ultrasound TechnologybiologyChemistryKinaseDose-Response Relationship Radiationmedicine.diseaseCarbonErbB ReceptorsCell cultureImmunologyCancer researchbiology.proteinPhosphorylationGlioblastomaSignal TransductionInternational Journal of Radiation Biology
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Dynamiques de peuplement du territoire rural du Haut Velay granitique (Haute-Loire) à l’époque médiévale. Rapport de prospection thématique 2021, ann…

2022

Axe Fabrique du Paysage

Moyen Âge[SHS.ARCHI]Humanities and Social Sciences/Architecture space management[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistoryarchéologie du paysage[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryarchéologie du bâti[SHS.ART]Humanities and Social Sciences/Art and art history[SDE.ES]Environmental Sciences/Environmental and Society[SHS.HIST] Humanities and Social Sciences/History[SHS.ART] Humanities and Social Sciences/Art and art history[SDE.ES] Environmental Sciences/Environmental and Society[SHS.ARCHI] Humanities and Social Sciences/Architecture space managementépoque moderneprospection-inventaire[SHS.HIST]Humanities and Social Sciences/History
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Depth Attention for Scene Understanding

2022

Deep learning models can nowadays teach a machine to realize a number of tasks, even with better precision than human beings. Among all the modules of an intelligent machine, perception is the most essential part without which all other action modules have difficulties in safely and precisely realizing the target task under complex scenes. Conventional perception systems are based on RGB images which provide rich texture information about the 3D scene. However, the quality of RGB images highly depends on environmental factors, which further influence the performance of deep learning models. Therefore, in this thesis, we aim to improve the performance and robustness of RGB models with comple…

Multi-Modal fusionApprentissage profond[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingDeep Learning for Computer VisionVision par ordinateurRGB-D FusionComputer visionDeep learningVision par Ordinateur et Intelligence Artificielle[INFO] Computer Science [cs]
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Analyse et fusion d’images multimodales pour la navigation autonome

2021

Robust semantic scene understanding is challenging due to complex object types, as well as environmental changes caused by varying illumination and weather conditions. This thesis studies the problem of deep semantic segmentation with multimodal image inputs. Multimodal images captured from various sensory modalities provide complementary information for complete scene understanding. We provided effective solutions for fully-supervised multimodal image segmentation and few-shot semantic segmentation of the outdoor road scene. Regarding the former case, we proposed a multi-level fusion network to integrate RGB and polarimetric images. A central fusion framework was also introduced to adaptiv…

Multi-ModalApprentissage profond[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Multimodalite[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Image fusionDeep learningSemantic segmentationSegmentation semantiqueFusion d’images
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Recognition of emotional states by visual facial analysis and machine learning

2018

In face-to-face settings, an act of communication includes verbal and emotional expressions. From observation, diagnosis and identification of the individual's emotional state, the interlocutor will undertake actions that would influence the quality of the communication. In this regard, we suggest to improve the way that the individuals perceive their exchanges by proposing to enrich the textual computer-mediated communication by emotions felt by the collaborators. To do this, we propose to integrate a real time emotions recognition system in a platform “Moodle”, to extract them from the analysis of facial expressions of the distant learner in collaborative activities. There are three steps…

Multi-ObservationSvm[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Facial componentsFacial expression recognitionComposants du visageReconnaissance des expressions faciales[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
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