Dissertations / Theses on the topic 'Objets multiples'
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Simon, Jérôme. "Extension des méthodes multipôles rapides : résolution pour les seconds membres multiples et applications aux objets diélectriques." Versailles-St Quentin en Yvelines, 2003. http://www.theses.fr/2003VERS0007.
The Maxwell's equations put in integral form lead to a linear system complexes full. The direct methods are limited in frequency, because the number of operations of the algorithm is in O(N3) (N: is the numbers of unknowns). In order to meet the needs for calculations of monostatic SER, it is essential to be able to calculate with least important possible cost, the answer of an object for a lot of incident plane waves. More and more of real cases ask the taking into account of the dielectric coatings. The fast multipol methods (FMM) are a technique allowing to carry out quickly, certain products matrix vector, while reducing the volume of storage. It thus was developed and validated an iterative solver for a lot of right hand side, accelerated by FMM, thus a mixed formulation Integral equation/Elements Finished fascinating of account the objects covered with dielectric. This formulation is rather well conditioned and does not present a singular frequency
Pibre, Lionel. "Localisation d'objets urbains à partir de sources multiples dont des images aériennes." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS107/document.
This thesis addresses problems related to the location and recognition of urban objects in multi-source images (optical, infrared, terrain model) of very high precision acquired by air.Urban objects (lamp posts, poles, car, tree...) have dimensions, shapes, textures and very variable colors. They can be glued to each other and are small with respect to the size of an image. They are present in large numbers but can be partially hidden. All this makes urban objects difficult to identify with current image processing techniques.First, we compared traditional learning approaches, consisting of two stages - extracting features through a predefined descriptor and using a classifier - to deep learning approaches and more precisely Convolutional Neural Networks (CNN). CNNs give better results but their performances are not sufficient for industrial use. We therefore proposed two contributions to increase performance.The first is to efficiently combine data from different sources. We compared a naive approach that considers all sources as components of a multidimensional image to an approach that merges information within CNN itself. For this, we have processed the different information in separate branches of the CNN.For our second contribution, we focused on the problem of incomplete data. Until then, we considered that we had access to all the sources for each image but we can also place ourselves in the case where a source is not available or usable. We have proposed an architecture to take into account all the data, even when a source is missing in one or more images. We evaluated our architecture and showed that on an enrichment scenario, it allows to have a gain of more than 2% on the F-measure.The proposed methods were tested on a public database. They aim to be integrated into a Berger-Levrault company software in order to enrich geographic databases and thus facilitate the management of the territory by local authorities
Michelet, Franck. "Contribution à l'estimation d'orientations locales multiples dans les images numériques." Bordeaux 1, 2006. http://www.theses.fr/2006BOR13140.
Delleaux, Océane. "Les multiples et les " autres " multiples depuis le milieu des années 1980 : enjeux et mutations." Rennes 2, 2006. http://www.theses.fr/2006REN20015.
The thesis deals with the second generation of the multiple and " other " multiples (prints, recordings, artists' books, etc. ) from the middle of the 1980's in the west. It approaches this contemporary artists' editions from three angles : the medium, the distribution and the production. Taking into account the report of failure of the research in the attempts their democratization by the art actors in the 1960-1970's, it aims at showing the new organization modalities of the conception of original artworks on the industrial scale and notifies the new vulgarization modes of the multiple and " other " multiples
Dioum, Ibra. "Conception de systèmes multi-antennaires pour techniques de diversité et MIMO : application aux petits objets nomades communicants." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00935084.
Haddad, Lilas. "Impact of multiple affordances on object perception in natural scenes." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. https://pepite-depot.univ-lille.fr/ToutIDP/EDSHS/2023/2023ULILH060.pdf.
Object perception and action perception are closely interrelated. Perceiving visual objects also leads to the perception of various grasping components evoked by the objects, known as micro-affordances. We have numerous pieces of evidence that a single object may evoke micro-affordances such as a right- or left-hand grasp depending on object handle orientation or a power or precision grip depending on object size. However, natural scenes are usually composed of several objects evoking multiple affordances that may impact object perceptual processing. Moreover, objects presented in a common scene are usually semantically related, as they are part of the same context. The semantic relations between objects may then modulate how one perceives objects and their affordances. In this view, thematic relations between objects (e.g., key-lock) are particularly interesting as they share cognitive and neural substrates with use gesture knowledge. The aim of this thesis is to investigate the consequences of the evocation of multiple affordances on the perception and selection of a given object in naturalistic scenes. We investigated how the similarity of affordances would impact object selection and how thematic relations between objects would modulate object perceptual processing. In a first online behavioral study using a stimulus and response compatibility paradigm, we highlighted a processing cost when pairs of unrelated objects had similar right- or left-hand grasp affordances, with the similarity of affordances slowing down target selection. Furthermore, the cost entailed by similar handle affordances was restricted to action relevant situations, when responding with the dominant hand and when the response was compatible with the affordance of the target. In a second behavioral experiment using the stimulus and response compatibility paradigm in a 3D environment, we were able to extend these first findings to other types of micro-affordances (grasp size affordances). Again, we demonstrated a perceptual processing cost when pairs of objects had similar grasp size affordances. Furthermore, we highlighted a suppression of the cost entailed by similar affordances on target selection when objects were thematically related. In a third neurophysiological study using electroencephalography, we evaluated the correlates of the cost entailed by similar affordances on µ rhythm desynchronization, which is assumed to reflect the activity of the motor neural network during perception. Results revealed that during target selection, μ desynchronization was reduced when affordances were similar in comparison to dissimilar. This effect disappeared when objects were thematically related. Overall, behavioral and neurophysiological evidence support the model of affordance inhibition proposed by Vainio and Ellis (2020) and Caligiore et al. (2013). According to the inhibition hypothesis, the observer needs to inhibit distractor objects to select the target object. When the different objects in the scene have similar affordances, inhibition of the distractor object and its affordances leads to the automatic inhibition of the target affordance, which slows down target processing. The present work provides behavioral and neural evidence in favor of the inhibition model of affordance and object selection in more naturalistic scenes involving familiar meaningful objects. In addition, it first demonstrates the role of semantic relations in the regulation of affordance inhibition in naturalistic scenes
Gamal, Eldin Ahmed. "Point process and graph cut applied to 2D and 3D object extraction." Nice, 2011. http://www.theses.fr/2011NICE4107.
The topic of this thesis is to develop a novel approach for 3D object detection from a 2D image. This approach takes into consideration the occlusions and the perspective effects. This work has been embedded in a marked point process framework, proved to be efficient for solving many challenging problems dealing with high resolution images. The accomplished work during the thesis can be presented in two parts : In the first part, we propose a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is based on 3D scene simulation on the GPU using OpenGL. It is an object based method embedded in a marked point process framework. We apply it for the size estimation of a penguin colony, where we model a penguin colony as an unknown number of 3D objects. The main idea of the proposed approach is to sample some candidate configurations consisting of 3D objects lying on the real plane. A Gibbs energy is define on the configuration space, which takes into account both prior and data information. The proposed configurations are projected onto the image plane, and the configurations are modified until convergence. To evaluate a proposed configuration, we measure the similarity between the projected image of the proposed configuration and the real image, by defining a data term and a prior term which penalize objects overlapping. We introduced modifications to the optimization algorithm to take into account new dependencies that exists in our 3D model. In the second part, we propose a new optimization method which we call “Multiple Births and Cut” (MBC). It combines the recently developed optimization algorithm Multiple Births and Deaths (MBD) and the Graph-Cut. MBD and MBC optimization methods are applied for the optimization of a marked point process. We compared the MBC to the MBD algorithms showing that the main advantage of our newly proposed algorithm is the reduction of the number of parameters, the speed of convergence and the quality of the obtained results. We validated our algorithm on the counting problem of flamingos in a colony
Mabon, Jules. "Apprentissage de modèles de géométrie stochastique et réseaux de neurones convolutifs. Application à la détection d'objets multiples dans des jeux de données aérospatiales." Electronic Thesis or Diss., Université Côte d'Azur, 2023. http://www.theses.fr/2023COAZ4116.
Unmanned aerial vehicles and low-orbit satellites, including CubeSats, are increasingly used for wide-area surveillance, generating substantial data for processing. Satellite imagery acquisition is susceptible to atmospheric disruptions, occlusions, and limited resolution, resulting in limited visual data for small object detection. However, the objects of interest (e.g., small vehicles) are unevenly distributed in the image: there are some priors on the structure of the configurations.In recent years, convolutional neural network (CNN) models have excelled at extracting information from images, especially texture details. Yet, modeling object interactions requires a significant increase in model complexity and parameters. CNN models generally treat interaction as a post-processing step.In contrast, point processes aim to simultaneously model each point's likelihood in relation to the image (data term) and their interactions (prior term). Most point process models rely on contrast measures (foreground vs. background) for their data terms, which work well with clearly contrasted objects and minimal background clutter. However, small vehicles in satellite images exhibit varying contrast levels and a diverse range of background and false alarm objects.In this PhD thesis, we propose harnessing CNN models information extraction abilities in combination with point process interaction models, using CNN outputs as data terms. Additionally, we introduce a unified method for estimating point process model parameters. Our model demonstrates excellent performance on multiple remote sensing datasets, providing geometric regularization and enhanced noise robustness, all with a minimal parameter footprint
Aboutalib, Sarah. "Multiple-Cue Object Recognition for Interactionable Objects." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/19.
Challita, Frédéric. "Massive MIMO channel characterization and propagation-based antenna selection strategies : application to 5G and industry 4.0." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I043/document.
Continuous efforts have been made to boost wireless systems performance, however, current wireless networks are not yet able to fulfill the many gaps from 4G and requirements for 5G. Thus, significant technological breakthroughs are still required to strengthen wireless networks. For instance, in order to provide higher data rates and accommodate many types of equipment, more spectrum resources are needed and the currently used spectrum requires to be efficiently utilized. 5G, or the fifth generation of mobile networks, is initially being labeled as an evolution, made available through improvements in LTE, but it will not be long before it becomes a revolution and a major step-up from previous generations. Massive MIMO has emerged as one of the most promising physical-layer technologies for future 5G wireless systems. The main idea is to equip base stations with large arrays (100 antennas or more) to simultaneously communicate with many terminals or user equipments. Using smart pre-processing at the array, massive MIMO promises to deliver superior system improvement with improved spectral efficiency, achieved by spatial multiplexing and better energy efficiency, exploiting array gain and reducing the radiated power. Massive MIMO can fill the gap for many requirements in 5G use-cases notably industrial IOT (internet of things) in terms of data rates, spectral and energy efficiency, reliable communication, optimal beamforming, linear processing schemes and so on. However, the hardware and software complexity arising from the sheer number of radio frequency chains is a bottleneck and some challenges are still to be tackled before the full operational deployment of massive MIMO. For instance, reliable channel models, impact of polarization diversity, optimal antenna selection strategies, mutual coupling and channel state information acquisition amongst other aspects, are all important questions worth exploring. Also, a good understanding of industrial channels is needed to bring the smart industry of the future ever closer.In this thesis, we try to address some of these questions based on radio channel data from a measurement campaign in an industrial scenario using a massive MIMO setup. The thesis' main objectives are threefold: 1) Characterization of massive MIMO channels in Industry 4.0 (industrial IoT) with a focus on spatial correlation, classification and impact of cross-polarization at transmission side. The setup consists in multiple distributed user-equipments in many propagation conditions. This study is based on propagation-based metrics such as Ricean factor, correlation, etc. and system-oriented metrics such as sum-rate capacity with linear precoding and power allocation strategies. Moreover, polarization diversity schemes are proposed and were shown to achieve very promising results with simple allocation strategies. This work provides comprehensive insights on radio channels in Industry 4.0 capable of filling the gap in channel models and efficient strategies to optimize massive MIMO setups. 2) Proposition of antenna selection strategies using the receiver spatial correlation, a propagation metric, as a figure of merit. The goal is to reduce the number of radio frequency chain and thus the system complexity by selecting a set of distributed antennas. The proposed strategy achieves near-optimal sum-rate capacity with less radio frequency chains. This is critical for massive MIMO systems if complexity and cost are to be reduced. 3) Proposition of an efficient strategy for overhead reduction in channel state information acquisition of FDD (frequency-division-duplex) systems. The strategy relies on spatial correlation at the transmitter and consists in solving a set of simple autoregressive equations (Yule-Walker equations). The results show that the proposed strategy achieves a large fraction of the performance of TDD (time-division-duplex) systems initially proposed for massive MIMO
Marti, Geoffrey. "Rôle de multiples affordances dans la prise de décision et la régulation de l'action chez le conducteur : L'exemple du franchissement d'intersection." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4024.
Crossing an intersection is a typical task in which several affordances coexist, one offering the possibilities to safely cross the intersection (the main goal) and another offering the possibilities to stop the driving car to avoid a collision (the alternative goal). Based on Gibson and Crooks’ works (1938), we formalized the so-called Field of Safe Travel (FST) and Minimum Stopping Zone (MSZ) affordances in terms of critical time for safe crossing and for safe stopping, respectively. Using a virtual reality set-up with a driving simulator, three experiments have been designed to test the role of these two affordances on the decision-making and the regulation of action process. Our results, supported by a model of decision-making, reveal that drivers rely not only on the FST affordance, but also on the MSZ affordance, to choose to cross-or-not the intersection. Moreover, the joint use of these affordances is still observed when drivers have to control their velocity to perform the task when either a vehicle with a computed kinematic or a car driven by another agent is approaching. Put together, these results show that drivers take into account several possibilities for action offered by the environment (FST and MSZ affordances) to make a suitable choice and to control their speed when approaching an intersection
Mokh, Ali. "Receive and Transmit Spatial Modulation Techniques for Low Complexity Devices." Thesis, Rennes, INSA, 2018. http://www.theses.fr/2018ISAR0020.
Internet of Things is one of the keyword that represents the evolution in 5G that is able to connect the so-called Connected Devices (CD) to the network. These CDs are expected to require modest data rates and will be characterized by low resources in terms of both computation and energy consumption compared to other mobile multi-media devices. Spatial Modulation (SM) is proposed to be a promising solution to boost the data rate of the CD with a small ( or no) increase in energy consumption. Inspired by the advantages of SM, the objective of this thesis is to study the performance of different transmission scheme based on the SM concept at the transmitter and at tht receiver, for respectively an uplink and a downlink transmission between a BS and a CD. We proposed a global system where the higher computational complexity remains at the BS: The transmit SM is used for uplink, and the receive SM for downlink. It is shown that with SM, an ONOFF keying for uplink and Single Tap detector for downlink could be sufficient for the transmission a the CD. Also, with Extended SM schemes, we increased the spectral efficiency of SM to be equal t< the number of antennas of CD in both uplink and downlink transmission. A framework for the derivation of the Bit Error Probability (BEP) is developed for all schemes with different detection methods. Impact of imperfect CSIT transmission has been studied when linear precoding is implemented for the receive spatial modulation, as well as the effect of antenna correlations. Finally we proposed to adapte the spatial modulation at the receiver with the mmWave environment, using hybrid beamformina at the transmitter
Cichocki, Radoslaw. "Classification of objects in images based on various object representations." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5774.
Mail the author at radoslaw.cichocki(at)gmail.com
Kossonou, Kobenan Ignace. "Étude d'un système de localisation 3-D haute précision basé sur les techniques de transmission Ultra Large Bande à basse consommation d'énergie pour les objets mobiles communicants." Phd thesis, Université de Valenciennes et du Hainaut-Cambresis, 2014. http://tel.archives-ouvertes.fr/tel-01019504.
Pagès, Julien. "Une machine virtuelle en héritage multiple basée sur le hachage parfait." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT282/document.
This thesis is about object-oriented languages in multiple inheritance and static typing executed by virtual machines.We are in the context of a Java-like language and system but in multiple inheritance.A virtual machine is an execution system which is different from static compilers and interpreters since they are in dynamic loading.This characteristic makes classes to be discovered during the execution.The thesis' goal is to study, specify and implement a virtual machine for an object-oriented language in multiple inheritance and then in a second step to specify and implement compilation/recompilation protocols.These protocols are in charge of optimizations and unavoidable repairing.We will present the architecture of the virtual machine : the used language is Nit, and perfect hashing as the multiple inheritance implementation technique. Then we will present the protocols and the experiments.In this thesis, we have presented an extension of preexistence and concrete types analysis to increase optimization opportunities. This contribution is not limited to multiple inheritance object-oriented languages
Ramalingam, Chitra. "Modeling Multiple Granularities of Spatial Objects." Fogler Library, University of Maine, 2002. http://www.library.umaine.edu/theses/pdf/RamalingamC2002.pdf.
De, Vaal Jan Hendrik. "Metric reconstruction of multiple rigid objects." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/2892.
Engineers struggle to replicate the capabilities of the sophisticated human visual system. This thesis sets out to recover motion and 3D structure of multiple rigid objects up to a similarity. The motion of these objects are either recorded in a single video sequence, or images of the objects are recorded on multiple, di erent cameras. We assume a perspective camera model with optional provision for calibration information. The Structure from Motion (SfM) problem is addressed from a matrix factorization point of view. This leads to a reconstruction correct up to a projectivity of little use in itself. Using techniques from camera autocalibration the projectivity is upgraded to a similarity. This reconstruction is also applied to multiple objects through motion segmentation. The SfM system developed in this thesis is a batch-processing algorithm, requiring few frames for a solution and readily accepts images from very di erent viewpoints. Since a solution can be obtained with just a few frames, it can be used to initialize sequential methods with slower convergence rates, such as the Kalman lter. The SfM system is critically evaluated against an extensive set of motion sequences.
Thórhallsson, Torfi. "Symmetric objects in multiple affine views." Thesis, University of Oxford, 2000. http://ora.ox.ac.uk/objects/uuid:49ec4596-7086-4645-81f8-8dacf48b694a.
Ahn, Yushin. "Object space matching and reconstruction using multiple images." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1213375997.
Vörös, András. "The emergence of multiple status systems in adolescent communities : a multiplex network theory of group formation." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:9590194f-84e9-4548-b1fe-cf2f64ffc329.
Furesjö, Fredrik. "Multiple cue object recognition." Licentiate thesis, KTH, Numerical Analysis and Computer Science, NADA, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277.
Nature is rich in examples of how vision can be successfully used for sensing and perceiving the world and how the gathered information can be utilized to perform a variety of different objectives. The key to successful vision is the internal representations of the visual agent, which enable the agent to successfully perceive properties about the world. Humans perceive a multitude of properties of the world through our visual sense, such as motion, shape, texture, and color. In addition we also perceive the world to be structured into objects which are clustered into different classes - categories. For such a rich perception of the world many different internal representations that can be combined in different ways are necessary. So far much work in computer vision has been focused on finding new and, out of some perspective, better descriptors and not much work has been done on how to combine different representations.
In this thesis a purposive approach in the context of a visual agent to object recognition is taken. When considering object recognition from this view point the situatedness in form of the context and task of the agent becomes central. Further a multiple feature representation of objects is proposed, since a single feature might not be pertinent to the task at hand nor be robust in a given context.
The first contribution of this thesis is an evaluation of single feature object representations that have previously been used in computer vision for object recognition. In the evaluation different interest operators combined with different photometric descriptors are tested together with a shape representation and a statistical representation of the whole appearance. Further a color representation, inspired from human color perception, is presented and used in combination with the shape descriptor to increase the robustness of object recognition in cluttered scenes.
In the last part, which contains the second contribution, of this thesis a vision system for object recognition based on multiple feature object representation is presented together with an architecture of the agent that utilizes the proposed representation. By taking a system perspective to object recognition we will consider the representations performance under a given context and task. The scenario considered here is derived from a fetch scenario performed by a service robot.
Luo, Wenhan. "Generic multiple object tracking." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/39044.
Furesjö, Fredrik. "Multiple cue object recognition /." Stockholm : KTH Numerical Analysis and Computer Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277.
Titsias, Michalis. "Unsupervised learning of multiple objects in images." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/776.
Ye, Lin. "The Perception of Objects with Multiple Affordances." Miami University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=miami1165554317.
Wallén, David Nikolas Alfred. "High precision detection of multiple rotating objects." Thesis, KTH, Mekatronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245195.
This thesis project has been developed in conjunction with a Stockholm based art studio called ''Humans since 1982''. The studio builds and sells contemporary and highly technological luxury art pieces all over the world. The company wanted to perform research towards developing and implementing a solution that detected and determined the position of two independent objects being rotated by two stepper motors and a gearbox. This thesis investigates possible proximity sensor solutions and their applicability and accuracy for this application. The requirements of the solution are to perform detection of two rotating loads driven by stepper motors at about 50 [steps/second] at a distance of 20 [mm] from any sensing electronics within the accuracy of ±1° with a precision of 99.95 %. The loads were mounted in such a way that they were not in line of sight from the driving motor or electronics and a complex unmodifiable gearbox prevented simple solutions such as IR-based sensors, rotary encoders and mechanical stoppers to be used. Multiple detection options such as capacitive-, inductive-, and radio based methods were investigated. A technical solution based on Hall elements and permanent Neodymium magnets was proposed, designed, implemented and tested. Two algorithms for automatic load detection and calibration were proposed and tested. The first algorithm detected the loads while both were moving simultaneously and the second detected one load at a time. The second algorithm proved to be the best solution with respect to time, robustness and accuracy and it was able to achieve an accuracy of 0.8° at a precision of 99.97 % and it was implemented on the target embedded system. The self-calibration took 92.6 [s] with an average CPU utilization of 34.56 %, consumed 85.93 % of the MCU RAM and 13.74 % of the Flash memory including a real-time operating system and drivers for extraction of test data on a 32-bit ARM Cortex micro controller.
Muschter, Evelyn. "Constructing multiple objects across space and time." Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/368612.
Muschter, Evelyn. "Constructing multiple objects across space and time." Doctoral thesis, University of Trento, 2018. http://eprints-phd.biblio.unitn.it/2984/1/thesis_Evelyn_Muschter_final.pdf.
Mursia, Placido. "Multi-antenna methods for scalable beyond-5G access networks." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS532.
The exponential increase of wireless user equipments (UEs) and network services associated with current 5G deployments poses several unprecedented design challenges that need to be addressed with the advent of future beyond-5G networks and novel signal processing and transmission schemes. In this regard, massive MIMO is a well-established access technology, which allows to serve many tens of UEs using the same time-frequency resources. However, massive MIMO exhibits scalability issues in massive access scenarios where the UE population is composed of a large number of heterogeneous devices. In this thesis, we propose novel scalable multiple antenna methods for performance enhancement in several scenarios of interest. Specifically, we describe the fundamental role played by statistical channel state information (CSI) that can be leveraged for reduction of both complexity and overhead for CSI acquisition, and for multiuser interference suppression. Moreover, we exploit device-to-device communications to overcome the fundamental bottleneck of conventional multicasting. Lastly, in the context of millimiter wave communications, we explore the benefits of the recently proposed reconfigurable intelligent surfaces (RISs). Thanks to their inherently passive structure, RISs allow to control the propagation environment and effectively counteract propagation losses and substantially increase the network performance
Yilmaz, Mehmet. "Multiple Target Tracking Using Multiple Cameras." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12609477/index.pdf.
Salam, Rosalina Abdul. "Object recognition through multiple viewpoints." Thesis, University of Hull, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342861.
Azizoglu, Suha Alp. "Time Domain Scattering From Single And Multiple Objects." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609413/index.pdf.
Xu, Jianqiu [Verfasser]. "Moving objects with multiple transportation modes / Jianqiu Xu." Hagen : Fernuniversität Hagen, 2012. http://d-nb.info/102515584X/34.
Privat, Jean. "De l'expressivité à l'efficacité : une approche modulaire des langages à objets : le langage PRM et le compilateur prmc." Montpellier 2, 2006. http://www.theses.fr/2006MON20007.
This thesis is placed in the context of statically typed languages object-oriented languages as C++ or Eiffel. It is divided into two parts. The first one relates to language specification. It approaches and formalizes the relations between classes and properties while insisting on the problems of the multiple inheritance: a class can redefine methods inherited from classes it specializes. It also proposes the class refinement mechanism which makes it possible to add a posteriori new properties to existing classes. This mechanism, coupled with a concept of module hierarchy, is based on a structural analogy with the relations between classes and properties: a module can refine imported classes from modules on which it depends. Its originality is to take into account multiple dependencies, multiple refinements, and combinations of refinement and specialization. This first part also presents PRM, a language which validates our approach of multiple inheritance, modules, and class refinement. The second part relates to the compilation of object-oriented languages. It proposes an original schema of compilation for object-oriented languages which is separate—the modules are compiled independently of their final uses—and includes global implementation techniques which require the knowledge of the whole program: type analysis, dead code suppression, coloring and binary tree dispatch. These techniques cancel the cost of multiple inheritance and class refinement and strongly reduce the inherent cost of polymorphism of any objectoriented language. The originality of such an approach is the application of global techniques after the compilation of modules. Prmc, the PRM compiler, is then presented, and the schema of compilation we propose is validated by different benchmarks
Torres, Lucile. "Une méthode de résolution des conflits d'héritage multiple." Montpellier 2, 1991. http://www.theses.fr/1991MON20285.
Ostovar, Ahmad. "Enhancing Forestry Object Detectionusing Multiple Features." Thesis, Umeå universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-93528.
Yim, Tonia Tan-Ling, and University of Lethbridge Faculty of Arts and Science. "Multiple-object memory requires the hippocampus." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2007, 2007. http://hdl.handle.net/10133/678.
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Pagano, Silvia. "Electrophysiological correlates of multiple object processing." Doctoral thesis, Università degli studi di Trento, 2012. https://hdl.handle.net/11572/367677.
Pagano, Silvia. "Electrophysiological correlates of multiple object processing." Doctoral thesis, University of Trento, 2012. http://eprints-phd.biblio.unitn.it/826/1/PhDThesisSilviaPagano_fin.pdf.
Omalek, Hassan. "Diffusion simple et multiple des ondes électromagnétiques par des objets sphériques inhomogènes." Aix-Marseille 1, 1990. http://www.theses.fr/1990AIX11282.
Dekker, Lenneke. "Frome : représentaion multiple et classification d'objets avec points de vue." Lille 1, 1994. http://www.theses.fr/1994LIL10201.
Tran, Tuan-Anh. "Multiple-input multiple-output optical wireless communications." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:094fbe23-88c3-49c4-b64b-a1de40674123.
Morandat, Floréal. "Contribution à l'efficacité de la programmation par objets : evaluation des implémentations de l'héritage multiple en typage statique." Thesis, Montpellier 2, 2010. http://www.theses.fr/2010MON20199/document.
His thesis is about efficient compilation of object oriented language with multiple inheritance.Object oriented programing is characterized by a main mechanism, emph{late binding} --- invoked method only depends on the dynamic type of one special parameter, the emph{receiver}.In order to be efficient this mechanism needs an implementation which depends on some compilation scheme --- separate compilation with dynamic loading, global compilation, etc.However object oriented programming present akin of incompatibility between three terms: multiple inheritance, efficiency and open world assumption --- especially with dynamic loading.In this thesis, we have studied common implementation techniques compatible with multiple inheritance and a promising alternative, perfect class hashing.The context of this study is static typing, our conclusion holds for languages like cpp, eiffel, java, csharp, etc.Different compilation schemes are considered, from open world assumption to closed world assumption.These techniques and schemes are implemented in the prm bootstraped compiler.Efficiency influence of all this artifacts has been tested with a rigorous meta-compilation experimental protocol and these tests have been performed on a variety of different processors.Results of these experiments are discuss and compared to an a priori evaluations of implementations techniquesThey mainly confirm perfect class hashing as an interesting implementation for multiple subtyping, a la java
Carré, Bernard. "Méthodologie orientée objet pour la représentation des connaissances : concepts de point de vue, de représentation multiple et évolutive d'objet." Lille 1, 1989. http://www.theses.fr/1989LIL10018.
Matas, J. "Colour-based object recognition." Thesis, University of Surrey, 1995. http://epubs.surrey.ac.uk/843934/.
Vo, Duc An. "An operational architecture to handle multiple levels of representation in agent-based models." Paris 6, 2012. http://www.theses.fr/2012PA066629.
Agent-based modeling (ABM) is a modeling approach that can be viewed as a successful crossbreeding of Individual-Based Modeling (IBM), originated in Ecology, and Object- Oriented Programming (OOP), originated in Computer Science. Like the former, it aims at building generative models where the general behavior of the model is the result of the interactions between its components; like the latter, it allows building these models in a modular and incremental way, promising reusability and flexibility to the modelers. However, it also inherits some of the limits of its two ancestors, in particular the absence of dedicated abstractions for handling more than one level of representation at once in a same model. I describe in my thesis a conceptual and fully operational proposal to support multiple levels of representation within a pure agent-based modeling approach. This proposal consists in an evolution of the meta-model usually associated with ABM and an implementation of this meta-model in the kernel of the GAMA platform (along an enrichment of the GAML language). Contrary to similar contributions found in the literature, which are either purely conceptual or specific to one application domain, the one I propose is generic, completely implemented and immediately reusable by modelers. As a matter of fact, it is already in use in several large-scale models. My contribution has been formalized after a careful analysis of the requirements of modelers working on multi-level agent-based models and a specific attention to providing them with reusable and generic abstractions. Given that most of the existing ABM meta- models follow the principles of OOP (i. E. A model being a set of “classes” allowing building “instances” of agents, providing them with attributes and operations, and allowing specialization through inheritance between “classes”), I have proposed an extension of this meta-model that integrates and generalizes the following notions: description of a “host” relationship between “classes” in addition to inheritance, explicit description of the “populations” of agents (instances of the same “class” that belong to the same host), possibility to attach a temporal and spatial scale to each “class”, and addition of a primary operator of “migration” between “populations” to complement “instantiation”. This meta-model has been implemented in an open-source agent-based modeling platform, GAMA, initially developed in 2006 as an extension of the Repast platform with explicit support for geographical information. I completely re-factored the meta-model of GAMA and enriched its modeling language in order to make it capable of supporting the development of multi-level agent-based models. This evolution (1) allows modelers to represent multi-level organizations and their dynamics as first-class citizens in their model; (2) allows them to proceed methodologically in a bottom-up fashion, adding multi-level capabilities to existing “single-level” models without breaking or even changing the initial model; (3) does not break the core concepts of ABM, as the “classic” ABM meta-model is still a subset of my proposal. This new architecture has been extensively and successfully validated during the course of the development, by independent modelers, of two multi-level agent-based models on the GAMA platform: the first one concerning the organization of evacuations in response to a tsunami warning in a Vietnamese coastal city, the second one dealing with the assessment of policies against the invasions of rice pests in the Mekong delta region. The development of several new models, as well as a porting of the meta-model to other environments, is under consideration at the time of this writing
Sethuruman, Vijayashankar. "A hybrid technique for tracking network structured multiple deformable objects." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/12153/.
Abrahamsson, Anton. "Three dimensional tracking of multiple objects using digital holographic microscopy." Thesis, Umeå universitet, Institutionen för fysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-124722.
Higgs, David Robert. "Parts-based object detection using multiple views /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1000.
Ostovar, Ahmad. "Enhancing Forestry Object Detection using Multiple Features." Thesis, Umeå universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-57056.