Academic literature on the topic 'Détection de navire'
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Journal articles on the topic "Détection de navire":
Tri, Abdeljalil, Bruno Cochelin, and Michel Potier-Ferry. "Résolution des équations de Navier-Stokes et Détection des bifurcations stationnaires par une Méthode Asymptotique-Numérique." Revue Européenne des Éléments Finis 5, no. 4 (January 1996): 415–42. http://dx.doi.org/10.1080/12506559.1996.11509512.
Degré, Thomas, and Zahira Bennabou. "Vers une automatisation de la détection des navires à haut risque avec IRIS, un indicateur de risque individuel de navires pour la sécurité en mer ? Étude de l'effet de certaines variables sur les taux d'accidents." Recherche - Transports - Sécurité 22, no. 86 (March 30, 2005): 1–15. http://dx.doi.org/10.3166/rts.86.1-15.
KEMKEMIAN, Stéphane. "Détection de navires par radars maritimes - Architectures et traitements." Technologies radars et applications, August 2020. http://dx.doi.org/10.51257/a-v2-rad6708.
QUELLEC, Jean-Michel, and Stéphane KEMKEMIAN. "Détection de navires par radars maritimes - Signaux et traitements." Technologies radars et applications, February 2014. http://dx.doi.org/10.51257/a-v1-rad6709.
QUELLEC, Jean-Michel, and Stéphane KEMKEMIAN. "Détection de navires par radars maritimes - Concepts et architectures." Technologies radars et applications, February 2014. http://dx.doi.org/10.51257/a-v1-rad6708.
Dissertations / Theses on the topic "Détection de navire":
Coste, Benjamin. "Détection contextuelle de cyberattaques par gestion de confiance à bord d'un navire." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2018. http://www.theses.fr/2018IMTA0106/document.
Navigation and ship’s management are two essential aspects for the security of the ship itself and people on board as much as the maritime environment protection. Modern ships ensure these functions by increasingly embedding connected and automated technologies such as sensors, actuators, programmable logic controllers and pieces of software. However, the security of this objects as well as the trust in the information they produce cannot be guaranteed: they can be deceived or under the control of a malicious third party. In this context, a novel approach of data falsification detection is proposed. It is based on trust assessment of information system components which can be seen as inter-related functional blocks producing, processing and receiving pieces of information. The trust one can have inproduction blocks, called information sources, is assessed through its ability to report real situation of the ship. Trust is then propagated to the remainder part of the system. A simulator was made thanks to which we experiment several scenarios including intentional modification of numerical data. In these cases and under some conditions, the variability of trust give us the ability to identify the attack occurrence as much as its target. Our proposition is not restricted to naval information systems and can be employed in various situations even with human factor
Jacq, Olivier. "Détection, analyse contextuelle et visualisation de cyber-attaques en temps réel : élaboration de la Cyber Situational Awareness du monde maritime." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2021. http://www.theses.fr/2021IMTA0228.
In a globalized economy, the maritime sector plays an essential role for the countries’ economies, drawing 90% of the global world trade. In a highly digitalized transformation context, the cybersecurity level of the maritime sector remains low compared to other essential sectors. Through an end-to-end analysis, this thesis aims at describing the unique combined characteristics of maritime information systems. Then, we apply situational awareness definition to maritime cybersecurity and model the concept of Maritime Cyber Situational Awareness. Then we describe the proposal of an architecture to achieve MCSA elaboration, which has been tested and proven on our experimental platform, taking into account the full requirements. Our work then analyses the particularities of the maritime world to streamline the collected data. The analysis and architectures of this study could also be opened and applied to other sectors, such as autonomous vehiclesand the Internet of Things (IoT)
Caubet, Fabien. "Détection d’un objet immergé dans un fluide." Thesis, Pau, 2012. http://www.theses.fr/2012PAUU3006/document.
This dissertation takes place in the mathematic field called shape optimization. More precisely, we focus on a detecting inverse problem using shape calculus and asymptotic analysis. The aim is to localize an object immersed in a viscous, incompressible and stationary fluid. This work was motivated by the following main questions:– can we localize an obstacle immersed in a fluid from a boundary measurement?– can we reconstruct numerically this object, i.e. be close to its localization and its shape, from this measure?– can we know how many objects are included in the fluid using this measure?The results are described in the five chapters of the thesis:– the first one gives a mathematical framework in order to prove the existence of the shape derivatives oforder one and two in the frame of the detection of inclusions;– the second one analyzes the detection problem using geometric shape optimization: an identifiabilityresult is proved, the shape gradient of several shape functionals is characterized and the instability of thisinverse problem is proved;– the chapter 3 uses our theoretical results in order to reconstruct numerically some objets immersed in a fluid using a shape gradient algorithm;– the fourth chapter analyzes the detection of small inclusions in a fluid using the topological shape optimization : the topological gradient of a Kohn-Vogelius shape functional is characterized;– the last chapter uses this theoretical expression in order to determine numerically the number and the location of some small obstacles immersed in a fluid using a topological gradient algorithm
Arnold-Bos, Andreas. "La surveillance maritime en imagerie radar bistatique : théorie, simulation, contribution à la détection automatique du sillage des navires." Phd thesis, Université de Bretagne occidentale - Brest, 2010. http://tel.archives-ouvertes.fr/tel-00763477.
Tri, Abdeljalil. "Méthodes asymptotiques numériques pour les fluides visqueux incompressibles et la détection de la bifurcation de Hopf." Metz, 1996. http://docnum.univ-lorraine.fr/public/UPV-M/Theses/1996/Tri.Abdeljalil.SMZ9651.pdf.
Perturbation methods (asymptotic expansions) are usually considered as powerful methods for solving many kinds of non-linear problems. However, these methods are very often apllied in a purely analytic framework, and the calculation is limited to the first few terms of the series. Since a few years, we have shown that the combination of perturbation techniques and finite element method can lead to a robust numerical method for some categories of non-linear problems. In this thesis, we aplly these techniques to compute branches of stationary solutions of Navier-Stokes equations and to detect stationary and Hopf bifurcation
Caubet, Fabien. "Détection d'un objet immergé dans un fluide." Phd thesis, Université de Pau et des Pays de l'Adour, 2012. http://tel.archives-ouvertes.fr/tel-00716902.
Godoy, Campbell Matias. "Sur le problème inverse de détection d'obstacles par des méthodes d'optimisation." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30220/document.
This PhD thesis is dedicated to the study of the inverse problem of obstacle/object detection using optimization methods. This problem consists in localizing an unknown object omega inside a known bounded domain omega by means of boundary measurements and more precisely by a given Cauchy pair on a part Gammaobs of thetaOmega. We cover the scalar and vector scenarios for this problem considering both the Laplace and the Stokes equations. For both cases, we rely on identifiability result which ensures that there is a unique obstacle/object which corresponds to the considered boundary measurements. The strategy used in this work is to reduce the inverse problem into the minimization of a cost-type functional: the Kohn-Vogelius functional. This kind of approach is widely used and permits to use optimization tools for numerical implementations. However, in order to well-define the functional, this approach needs to assume the knowledge of a measurement on the whole exterior boundary thetaOmega. This last point leads us to first study the data completion problem which consists in recovering the boundary conditions on an inaccessible region, i.e. on thetaOmega\Gammaobs, from the Cauchy data on the accessible region Gammaobs. This inverse problem is also studied through the minimization of a Kohn-Vogelius type functional. The ill-posedness of this problem enforces us to regularize the functional via a Tikhonov regularization. We obtain several theoretical properties as convergence properties, in particular when data is corrupted by noise. Based on these theoretical results, we reconstruct numerically the boundary data by implementing a gradient algorithm in order to minimize the regularized functional. Then we study the obstacle detection problem when only partial boundary measurements are available. We consider the inaccessible boundary conditions and the unknown object as the variables of the functional and then, using geometrical shape optimization tools, in particular the shape gradient of the Kohn-Vogelius functional, we perform the numerical reconstruction of the unknown inclusion. Finally, we consider, into the two dimensional vector case, a new degree of freedom by studying the case when the number of objects is unknown. Hence, we use the topological shape optimization in order to minimize the Kohn-Vogelius functional. We obtain the topological asymptotic expansion of the solution of the 2D Stokes equations and characterize the topological gradient for this functional. Then we determine numerically the number and location of the obstacles. Additionally, we propose a blending algorithm which combines the topological and geometrical shape optimization methods in order to determine numerically the number, location and shape of the objects
Despringre-Bessière, Karine. "Détection d'obstacles sur route par télémétrie laser : évaluation des caractéristiques d'un système intégré." Grenoble INPG, 1996. http://www.theses.fr/1996INPG0071.
Tillet, Joris. "Safe localization and control of a towed sensor." Thesis, Brest, École nationale supérieure de techniques avancées Bretagne, 2021. http://www.theses.fr/2021ENTA0013.
The oceans’ exploration becomes more and more reachable, especially thanks to robotics progress. Applications for underwater robots are plentiful. In this thesis, we particularly focus on the search of wrecks, as the Cordelière, which sank in the Bay of Brest (France) in 1512. The proposed robotic system consists of towing a magnetometer likely to detect the ferromagnetic materials of the wreck. The sensor cannot be directly embedded because it is sensitive to the perturbations from the robot. This is why it is deported. Two issues are studied to approach this system. The first one is linked to the control of the magnetometer’s position, whereas we can only act on the towing robot. A feedback linearization method is used to design a controller. Then, this controller is validated under some state constraints by using tools from interval analysis. The second issue relates to underwater localization in a reliable manner. Ways to approach uncertainties and outliers gathered by acoustic sensors are studied. The interval analysis allows to obtain first results, and the fuzzy logic completes the approach by giving more suppleness in the prioritization of the constraints. Finally, some expérimentations are presented with different robots, and especially the localization of a ROV in a pool
Conan, Ewen. "Traitements adaptés aux antennes linéaires horizontales pour la discrimination en immersion de sources Ultra Basse Fréquence." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0016/document.
This work focuses on acoustic source depth discrimination in the ultra-low frequency range (ULF, 0-500 Hz), using a horizontal line array. Depth discrimination is a binary classification problem, aiming to evaluate whether a received signal has been emitted by a source near the surface or by a submerged one. This could serve applications such as anti-submarine warfare or marine biology.The acoustic field generated by a ULF source can be described as a sum of modes, which properties depend on environment and source location. This modal propagation leads to modal dispersion: the different modes propagate at different velocities. This forbid the use of classical beamforming schemes. However, the horizontal array can be used as a spatial filter to estimate the properties of the modes: this is modal filtering. With a sufficient array length, modes are resolved, and the filtered modes can be used to localise the source using matched-mode processing. If the array is too short, the poorly-filtered modes cannot be used for localisation. Therefore, we are looking for a less precise but more robust information on source location, which leads to source depth discrimination.In this work, the poorly-filtered modes are used to decide whether the source is near the surface or submerged. Because some of the modes (the "trapped modes") are weakly excited by a surface source, we propose this decision relies on the estimation of the trapped energy ratio, i.e. the ratio of acoustic energy borne by trapped modes to the total acoustic energy. The problem of depth discrimination is then formulated as a binary hypothesis test on source depth. This physical formulation allows using Monte-Carlo methods and simulations to predict performance in a given context. This enables comparison between several estimators of the trapped energy ratio and the choice of a relevant threshold which this ratio is compared to in order to decide between the two hypotheses. The approach developped in the manuscript is validated by its application to marine experimental data. The results are consistent with the conclusions drawn from simulations. The proposed method enables the succesfull identification of both a surface source (the noise of a travelling ship) and a submerged source (a ULF source towed 30 m below the surface), using a 360-m horizontal array