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Academic literature on the topic 'Estimation de l'horizon mobile'

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Published: 14 September 2024

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Journal articles on the topic "Estimation de l'horizon mobile"

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THIVOLLE-CAZAT (Alain) and PIGNARD (Gérôme). "Estimation du volume de bois résineux disponible en France à l'horizon 2010." Revue Forestière Française, no. 3-4 (2001): 317. http://dx.doi.org/10.4267/2042/5243.

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Kumar, Shailesh, and Anant R. Koppar. "Software Estimation Framework for Mobile Application Projects." International Journal of Productivity Management and Assessment Technologies 7, no. 2 (July 2019): 26–40. http://dx.doi.org/10.4018/ijpmat.2019070102.

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As mobile devices are becoming the primary access channels for information, the authors need to have accurate effort estimation model for mobile application projects. In this paper the authors discuss “Mobile application estimation framework” that was designed based on 14 mobile application projects and was validated against 5 mobile application projects. In this paper the authors discuss the estimation framework for both native/hybrid mobile application projects and mobile web application projects. The proposed “Mobile application estimation framework” provides comprehensive coverage for various factors involved in mobile estimation such as layer-wise components, horizontal components and others. The estimation framework also considers the cost drivers and is used as effort adjustment factor. The proposed mobile application estimation framework achieved the MMRE of 0.207 with pred (0.3) of 80%.
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Kim, Cheong-Hwan, Dae-Seung Ban, and Yong-Hwan Lee. "Channel estimation in mobile WiMAX systems." International Conference on Electrical Engineering 6, no. 6 (May 1, 2008): 1–13. http://dx.doi.org/10.21608/iceeng.2008.34233.

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Rzeszucinski, Pawel, Daniel Lewandowski, and Cajetan T. Pinto. "Mobile device-based shaft speed estimation." Measurement 96 (January 2017): 52–57. http://dx.doi.org/10.1016/j.measurement.2016.10.005.

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McGuire, M., K. N. Plataniotis, and A. N. Venetsanopoulos. "Robust estimation of mobile terminal position." Electronics Letters 36, no. 16 (2000): 1426. http://dx.doi.org/10.1049/el:20000960.

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Kaur, Anureet, and Kulwant Kaur. "Effort Estimation in Traditional and Agile Mobile Application Development & Testing." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 3 (December 1, 2018): 1265. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1265-1272.

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Smartphones<em>/</em>mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development and testing provides a baseline and act as a tracking gear for stakeholders and developers. There are various approaches for estimation of traditional software development. But mobile applications are considered different from traditional software such as from those running on desktop, laptop or on the web. Many traditional estimation techniques used for these software are adapted to mobile domain. With agile software development (ASD) methodology, the scenario of development and estimation has changed drastically and so as mobile app development and estimation. This paper provides a Systematic Literature Review (SLR) on traditional estimation techniques and agile estimation techniques applied in mobile software/application. Also, effort attributes and accuracy parameters for estimation in mobile apps are presented. However, to date, there are very fewer studies done on the mobile application estimation domain using agile methodology.
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Fernandes, Thiago Soares, Álvaro Freitas Moreira, and Érika Cota. "EPE-Mobile-A framework for early performance estimation of mobile applications." Software: Practice and Experience 48, no. 1 (August 24, 2017): 85–104. http://dx.doi.org/10.1002/spe.2518.

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Zajic, Alenka G. "Estimation of Mobile Velocities and Direction of Movement in Mobile-to-Mobile Wireless Fading Channels." IEEE Transactions on Vehicular Technology 61, no. 1 (January 2012): 130–39. http://dx.doi.org/10.1109/tvt.2011.2175410.

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KIM, SUNGBOK, and SANGHYUP LEE. "ROBUST MOBILE ROBOT VELOCITY ESTIMATION USING A POLYGONAL ARRAY OF OPTICAL MICE." International Journal of Information Acquisition 05, no. 04 (December 2008): 321–30. http://dx.doi.org/10.1142/s0219878908001715.

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This paper presents the robust velocity estimation of a mobile robot using a polygonal array of optical mice that are installed at the bottom of the mobile robot. First, the velocity kinematics from a mobile robot to an array of optical mice is derived, from which the least squares estimation of a mobile robot velocity is obtained. Second, the least squares mobile robot velocity estimation is shown to be robust against measurement noises and partial malfunctions of optical mice. Third, in the presence of installation error, a practical method for optical mouse position calibration is devised. Finally, some experimental results are given to demonstrate the validity and performance of the proposed mobile robot velocity estimation.
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Röhrig, Christof, and Frank Künemund. "WLAN based Pose Estimation for Mobile Robots." IFAC Proceedings Volumes 41, no. 2 (2008): 10433–38. http://dx.doi.org/10.3182/20080706-5-kr-1001.01768.

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Dissertations / Theses on the topic "Estimation de l'horizon mobile"

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Ranjbar, Gigasari Roza. "Model Predictive Controller for large-scale systems - Application to water networks." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Lille Douai, 2024. http://www.theses.fr/2024MTLD0002.

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Cette thèse aborde le défi de l’optimisation de la gestion des ressources en eau au sein des canaux. Il s’agit d’une tâche particulièrement complexe en raison de leur échelle étendue et de la nature diverse de leurs composants, mais également de leurs dynamiques complexes caractérisées par des retards importants et parfois des pentes nulles. En ce qui concerne les réseaux de voies navigables, l’objectif principal est de mettre en œuvre des techniques issues de la théorie du Contrôle afin d’assurer la navigabilité du réseau, garantissant le respect des niveaux d’eau pour la navigation. Plus précisément, les niveaux d’eau doivent demeurer dans une plage prédéfinie autour d’un point de consigne. D’autres objectifs visent en la réduction des coûts opérationnels et l’amélioration de la durabilité des équipements. A cet égard, une alternative dans la gestion de tels réseaux est de remplacer les capteurs le long des canaux par un robot mobile qui effectue les mesures requises en se déplaçant, limitant l’ensemble des tâches de déploiement et de maintenance des capteurs et des systèmes de transmission de l’information. Pour parvenir à une gestion efficiente, il est impératif de garantir un contrôle efficace des structures hydrauliques telles que les vannes, les pompes et les écluses tout en limitant leur utilisation. A cette fin, un algorithme de contrôle est introduit, basé sur un modèle existant dérivé des équations de Saint-Venant. Le modèle simplifié offre une facilité d’intégration des informations actuelles et retardées du système dynamique en simplifiant sa complexité originale. L’utilisation de ce modèle nécessite cependant certaines extensions aux outils standards de contrôle et d’estimation d’état standard. Des méthodes de contrôle prédictif, de type MPC, et des méthodes d’estimation de l’état du système, de type MHE, sont adaptées à ce modèle. Elles permettent de considérer les contraintes physiques et opérationnelles des canaux contrôlés. Le MPC centralisé offre une résilience grâce à son couplage avec la technique MHE. Sa nature déterministe limite cependant sa capacité à aborder systématiquement les incertitudes. Pour relever efficacement ces incertitudes, la mise en œuvre du MPC stochastique (SMPC) a ensuite été proposée. Le SMPC intègre des descriptions probabilistes dans la conception du contrôle, offrant une approche tenant compte des incertitudes. Dans ce contexte d’études, le SMPC est interconnecté avec un robot mobile dont l’usage vise à limiter le nombre de capteurs répartis le long du canal. Par conséquent, une partie de cette thèse se concentre sur la conception du SMPC en intégrant un robot mobile. Cette approche a été appliquée à un canal de test ASCE pour en évaluer l’efficacité. Compte tenu de la nature étendu et de la complexité des interactions des canaux avec leur environnement, une conception d’un jumeau numérique a été entreprise avec pour objectifs de répondre aux besoins d’outils d’analyse avancée de leur gestion. En exploitant les capacités des jumeaux numériques, nous avons cherché à améliorer notre compréhension des dynamiques des canaux, en considérant des scénarios passés, mais également à projeter les avantages de nouvelles stratégies de gestion et de contrôle. Cette évaluation vise à combler le fossé entre la théorie et la mise en œuvre pratique, offrant un moyen tangible de rejouer les événements passés, de tester diverses approches de gestion et, finalement, de proposer aux gestionnaires des outils et des critères conduisant à une gestion efficace des réseaux hydrographiques. Les méthodologies présentées dans cette thèse sont appliquées à un cas réel, un canal situé dans la région des Hauts de France, avec l’objectif de tester et de valider leur efficacité dans un contexte réel
This thesis addresses the challenge of optimizing the management of canals, a complex task due to their extensive scale and distinctive attributes, including intricate dynamics, considerable time delays, and minimal bottom slopes. Specifically, the central goal is to ensure the navigability of the network, which involves maintaining safe water levels for vessel travel, through control theory. More precisely, the water levels must remain within a predefined range around a setpoint. Additionally, typical aims encompass reducing operational costs and enhancing the equipment’s life expectancy. In this regard, another objective in the management of such networks is replacing the possible sensors across canals by applying a moving robot to take the required measurements. To accomplish effective management, it becomes imperative to ensure efficient control over hydraulic structures such as gates, pumps, and locks. To this end, a control algorithm is introduced based on an existing model derived from the Saint-Venant equations. The modeling approach simplified the original complex description providing adaptability and facilitating the systematic integration of both current and delayed information. However, the resulting model formulation falls within the category of delayed descriptor systems, necessitating extensions to standard control and state estimation tools. Model predictive control and moving horizon estimation methods can be readily tailored for this formulation, while also adapting physical and operational constraints seamlessly. Given the extensive nature of canals, an evaluation of the digital twin was untaken to address the critical need for advanced tools in the management of such networks. By harnessing the capabilities of digital twins, we aimed to enhance our understanding of canal dynamics, past scenarios, and management strategies. This evaluation sought to bridge the gap between theory and practical implementation, offering a tangible means to playback past events, test diverse management approaches, and ultimately equip decision-makers with robust criteria for informed and effective network management.The methodologies presented above are applied to a practical case study, a canal in the northern region of France. The objective is to validate the efficacy of these approaches in a real-world context.While centralized MPC provides resilience through its receding-horizon approach, its deterministic nature limits its ability to systematically address uncertainties. To effectively tackle these system uncertainties, the implementation of Stochastic MPC (SMPC) has been adopted. SMPC integrates probabilistic descriptions into control design, offering a methodical approach to accommodating uncertainties. In this context, the application of SMPC is interconnected with a mobile robot aimed at replacing existing sensors along the canal to capture measurements. Consequently, a part of this thesis focuses on the design of SMPC in conjunction with a mobile robot. This approach has been applied to an ASCE Test canal to evaluate its effectiveness
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Poquin, Didier. "Estimation de la verticale subjective en tangage : contribution de l'horizon visuel apparent." Grenoble 2, 1998. http://www.theses.fr/1998GRE29016.

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Le point de vue de l'observateur est un facteur essentiel pour estimer l'inclinaison en tangage d'une surface. Dans ce cadre, l'hypothèse selon laquelle la détermination de la verticale subjective en tangage (VST) passe par l'estimation de l'horizon visuel subjectif (HVS) a donc été posée. Pour évaluer la VST, il a été demandé à des sujets d'ajuster dans la direction gravitaire une baguette lumineuse et rectangulaire et pour estimer l'horizon visuel, de placer juste en face de leurs yeux et dans un plan horizontal un petit trait également lumineux. Une première série de résultats a montré que les mécanismes de détermination de la VST font appel aux indices géométriques en rapport avec la forme de la baguette et a l'estimation du niveau des yeux. Ils rendent compte de l'indépendance observée entre le roulis et le tangage dans les ajustements à la verticale gravitaire et de la déviation systématique de la VST, "sommet de la baguette vers l'observateur". La deuxième partie expérimentale a décrit deux mécanismes impliquant l'HVS dans le jugement de la VST. Le premier dit "d'orthogonalisation centrée" conduit à ajuster la surface perpendiculairement à une ligne reliant le centre de la cible et le niveau perçu des yeux. Cette stratégie est mise en place pour de petits décalages de l'HVS. Le deuxième mécanisme, dit de "surcompensation", s'observe quand l'observateur prend conscience du décalage de son HVS et qu'il compense l'écart de ce point de vue subjectif. La conséquence de son utilisation conduit à ajuster la cible en sens oppose à la stratégie précédente. Le mécanisme de surcompensation intervient pour de grands décalages de l'HVS par rapport à l'horizon gravitaire. La dernière section expérimentale a confirmé, en présence d'un cadre perturbateur, l'existence des mécanismes d'orthogonalisation centrée et de surcompensation dans les ajustements d'une baguette à la verticale en tangage en fonction de l'amplitude du décalage de l'HVS. Cette dernière partie à également montré que l'effet d'attraction d'un cadre incliné, classiquement observé en roulis sur la verticale subjective, est observé en tangage sur la VST et sur l'HVS. En conclusion, le niveau apparent des yeux est considèré par un observateur comme le point de vue à partir duquel il perçoit l'orientation des surfaces en tangage
The factors determining spatial orientation in the median plane have been relatively neglected, although this dimension is the preferential plane of human displacements and the alert reaction in case of danger. Concerning pitch orientation, the observers point of view is an essential factor to estimate the surface slant. In this frame, the hypothesis according to pitch visually perceived vertical (pitch VPV) is assessed from visually perceived eye level (VPEL) has been assumed. It has been asked to an observer, seated in a dark room, to assess the subjective vertical by adjusting to the gravity direction a luminous and rectangular surface (the rod), and in other hand to judge the eye level by setting a luminous target in the horizontal plane getting through his eyes. The first part of results shows that the pitch VPV assessments have its own mechanisms whose the main factors are the geometrical cues relative to the form of the rod and the subjective eye level. Those factors could explain the lack of correlation observed between roll and pitch rod adjustments to the gravity direction and the systematic deviation of the pitch VPV, 'top of the rod toward the observer'. The second part of results describes two processes involving the VPEL to estimate the pitch VPV. The first processes, called 'mechanism of cenfered orthogonalisation', leads to adjust the rod perpendicular to an imaginary line getting through the center of the surface to the subjective eye level. This process occurs when VPEL errors are small. The second mechanism, called 'mechanism of surcompensation', is observed when the subject believes that the rod is put up or down relative to his perceived eye level. The consequence is a erroned compensation from this subjective point of view. This mechanism occurs when VPEL errors are large. The last experimental section confirms, with a visual scene, the existence of mechanisms of centered orthogonalisation or surcompensation to adjust a rod to the gravity direction in the median plane. In conclusion, the subjective eye level is considered as the point of view from which an observer calculates the slant orientation of planar surfaces. In other words, the determination of the pitch orientation of an object initially needs the estimation of the observer's localization in the environment
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Patel, Chirag S. "Channel modeling and estimation for mobile-to-mobile OFDM communications." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/13552.

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Alli, Idd Pazi. "Channel estimation in mobile wireless systems." Thesis, KTH, Signalbehandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98754.

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The demands of multimedia services from mobile user equipment (UE) for achieving high data rate, high capacity and reliable communication in modern mobile wireless systems are continually ever-growing. As a consequence, several technologies, such as the Universal Mobile Telecommunications System (UMTS) and the 3rd Generation Partnership Project (3GPP), have been used to meet these challenges. However, due to the channel fading and the Doppler shifts caused by user mobility, a common problem in wireless systems, additional technologies are needed to combat multipath propagation fading and Doppler shifts. Time-variant channel estimation is one such crucial technique used to improve the performance of the modern wireless systems with Doppler spread and multipath spread. One of vital parts of the mobile wireless channel is channel estimation, which is a method used to significantly improve the performance of the system, especially for 4G and Long Term Evolution (LTE) systems. Channel estimation is done by estimating the time-varying channel frequency response for the OFDM symbols. Time-variant channel estimation using Discrete Prolate Spheroidal Sequences (DPSS) technique is a useful channel estimation technique in mobile wireless communication for accurately estimating transmitted information. The main advantage of DPSS or Slepian basis expansion is allowing more accurate representation of high mobility mobile wireless channels with low complexity. Systems such as the fourth generation cellular wireless standards (4G), which was recently introduced in Sweden and other countries together with the Long Term Evolution, can use channel estimation techniques for providing the high data rate in modern mobile wireless communication systems. The main goal of this thesis is to test the recently proposed method, time-variant channel estimation using Discrete Prolate Spheroidal Sequences (DPSS) to model the WINNER phase II channel model. The time-variant sub-carrier coefficients are expanded in terms of orthogonal DPS sequences, referred to as Slepian basis expansions. Both Slepian basis expansions and DPS sequences span the low-dimensional subspace of time-limited and band-limited sequences as Slepian showed. Testing is done by using just two system parameters, the maximum Doppler frequency Dmax v and K, the number of basis functions of length N = 256. The main focus of this thesis is to investigate the Power spectrum and channel gain caused by Doppler spread of the WINNER II channel model together with linear fitting of curves for both the Slepian and Fourier basis expansion models. In addition, it investigates the Mean Square Error (MSE) using the Least Squares (LS) method. The investigation was carried out by simulation in Matlab, which shows that the spectrum of the maximum velocity of the user in mobile wireless channel is upper bounded by the maximum normalized one-sided Doppler frequency. Matlab simulations support the values of the results. The value of maximum Doppler bandwidth vDmax  of the WINNER model is exactly the same value as DPS sequences. In addition to the Power spectrum of the WINNER model, the fitting of Slepian basis expansion performs better in the WINNER model than that of the Fourier basis expansion.
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Angladon, Vincent. "Room layout estimation on mobile devices." Phd thesis, Toulouse, INPT, 2018. http://oatao.univ-toulouse.fr/20745/1/ANGLADON_Vincent.pdf.

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Room layout generation is the problem of generating a drawing or a digital model of an existing room from a set of measurements such as laser data or images. The generation of floor plans can find application in the building industry to assess the quality and the correctness of an ongoing construction w.r.t. the initial model, or to quickly sketch the renovation of an apartment. Real estate industry can rely on automatic generation of floor plans to ease the process of checking the livable surface and to propose virtual visits to prospective customers. As for the general public, the room layout can be integrated into mixed reality games to provide a better immersiveness experience, or used in other related augmented reality applications such room redecoration. The goal of this industrial thesis (CIFRE) is to investigate and take advantage of the state-of-the art mobile devices in order to automate the process of generating room layouts. Nowadays, modern mobile devices usually come a wide range of sensors, such as inertial motion unit (IMU), RGB cameras and, more recently, depth cameras. Moreover, tactile touchscreens offer a natural and simple way to interact with the user, thus favoring the development of interactive applications, in which the user can be part of the processing loop. This work aims at exploiting the richness of such devices to address the room layout generation problem. The thesis has three major contributions. We first show how the classic problem of detecting vanishing points in an image can benefit from an a-priori given by the IMU sensor. We propose a simple and effective algorithm for detecting vanishing points relying on the gravity vector estimated by the IMU. A new public dataset containing images and the relevant IMU data is introduced to help assessing vanishing point algorithms and foster further studies in the field. As a second contribution, we explored the state of-the-art of real-time localization and map optimization algorithms for RGB-D sensors. Real-time localization is a fundamental task to enable augmented reality applications, and thus it is a critical component when designing interactive applications. We propose an evaluation of existing algorithms for the common desktop set-up in order to be employed on a mobile device. For each considered method, we assess the accuracy of the localization as well as the computational performances when ported on a mobile device. Finally, we present a proof of concept of application able to generate the room layout relying on a Project Tango tablet equipped with an RGB-D sensor. In particular, we propose an algorithm that incrementally processes and fuses the 3D data provided by the sensor in order to obtain the layout of the room. We show how our algorithm can rely on the user interactions in order to correct the generated 3D model during the acquisition process.
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Kleynhans, Waldo. "On channel estimation for mobile WiMAX." Diss., Pretoria : [s.n.], 2008. http://upetd.up.ac.za/thesis/available/etd-01262009-102433/.

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Kasebzadeh, Parinaz. "Parameter Estimation for Mobile Positioning Applications." Licentiate thesis, Linköpings universitet, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141877.

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The availability and reliability of mobile positioning algorithms depend on both the quality of measurements and the environmental characteristics. The positioning systems based on global navigation satellite systems (GNSS), for example, have typically a few meters accuracy but are unavailable in signal denied conditions and unreliable in multipath environments. Other radio network based positioning algorithms have the same drawbacks. This thesis considers a couple of cases where these drawbacks can be mitigated by model-based sensor fusion techniques. The received signal strength (RSS) is commonly used in cellular radio networks for positioning due to its high availability, but its reliability depends heavily on the environment. We have studied how the directional dependence in the antenna gain in the base stations can be compensated for. We propose a semiempirical model for RSS  measurements, composed of an empirical log-distance model of the RSS decay rate, and a deterministic antenna gain model that accounts for non-uniform base station antenna radiation. Evaluations and comparisons presented in this study demonstrate an improvement in estimation performance of the joint model compared to the propagation model alone. Inertial navigation systems (INS ) rely on integrating inertial sensor measurements. INS  as a standalone system is known to have a cubic drift in the position error, and it needs supporting sensor information, for instance, position fixes from GNSS whenever available. For pedestrians, special tricks such as parametric gait models and step detections can be used to limit the drift. In general, the more accurate gait parameters, the better position estimation accuracy. An improved pedestrian dead reckoning (PDR) algorithm is developed that learns gait parameters in time intervals when direct position measurements (such as GNSS positions) are available. We present a multi-rate filtering solution that leads to improved estimates of both gait parameters and position. To further extend the algorithm to more realistic scenarios, a joint classifier of the user’s motion and the device’s carrying mode is developed. Classification of motion mode (walking, running, standing still) and device mode (hand-held, in pocket, in backpack) provides information that can assist in the gait learning process and hence improve the position estimation. The algorithms are applied to collected data and promising results are reported. Furthermore, one of the most extensive datasets for personal navigation systems using both rigid body motion trackers and smartphones is presented, and this dataset has also been made publicly available.
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Ning, Yu. "Mobile speed estimation for hierarchical wireless network." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4298.

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Thesis (M.S.)--University of Missouri-Columbia, 2005.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 14, 2006) Includes bibliographical references.
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Zhou, Bin. "Mobile velocity estimation in multipath fading channels." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0005/MQ42710.pdf.

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Thiagarajan, Arvind. "Probabilistic models for mobile phone trajectory estimation." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68497.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 157-161).
This dissertation is concerned with the problem of determining the track or trajectory of a mobile device - for example, a sequence of road segments on an outdoor map, or a sequence of rooms visited inside a building - in an energy-efficient and accurate manner. GPS, the dominant positioning technology today, has two major limitations. First, it consumes significant power on mobile phones, making it impractical for continuous monitoring. Second, it does not work indoors. This dissertation develops two ways to address these limitations: (a) subsampling GPS to save energy, and (b) using alternatives to GPS such as WiFi localization, cellular localization, and inertial sensing (with the accelerometer and gyroscope) that consume less energy and work indoors. The key challenge is to match a sequence of infrequent (from sub-sampling) and inaccurate (from WiFi, cellular or inertial sensing) position samples to an accurate output trajectory. This dissertation presents three systems, all using probabilistic models, to accomplish this matching. The first, VTrack, uses Hidden Markov Models to match noisy or sparsely sampled geographic (lat, lon) coordinates to a sequence of road segments on a map. We evaluate VTrack on 800 drive hours of GPS and WiFi localization data collected from 25 taxicabs in Boston. We find that VTrack tolerates significant noise and outages in location estimates, and saves energy, while providing accurate enough trajectories for applications like travel-time aware route planning. CTrack improves on VTrack with a Markov Model that uses "soft" information in the form of raw WiFi or cellular signal strengths, rather than geographic coordinates. It also uses movement and turn "hints" from the accelerometer and compass to improve accuracy. We implement CTrack on Android phones, and evaluate it on cellular signal data from over 126 (1,074 miles) hours of driving data. CTrack can retrieve over 75% of a user's drive accurately on average, even from highly inaccurate (175 metres raw position error) GSM data. iTrack uses a particle filter to combine inertial sensing data from the accelerometer and gyroscope with WiFi signals and accurately track a mobile phone indoors. iTrack has been implemented on the iPhone, and can track a user to within less than a metre when walking with the phone in the hand or pants pocket, over 5 x more accurately than existing WiFi localization approaches. iTrack also requires very little manual effort for training, unlike existing localization systems that require a user to visit hundreds or thousands of locations in a building and mark them on a map.
by Arvind Thiagarajan.
Ph.D.
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Books on the topic "Estimation de l'horizon mobile"

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Casey, Donal. Channel estimation techniques for mobile communications. Dublin: University College Dublin, 1995.

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1936-, Aggarwal J. K., and United States. National Aeronautics and Space Administration., eds. Positional estimation techniques for an autonomous mobile robot: Final report. Austin, Tex: Computer and Vision Research Center, University of Texas at Austin, 1990.

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Iagnemma, Karl. Mobile robots in rough terrain: Estimation, motion planning, and control with application to planetary rovers. Berlin: Springer, 2010.

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Götz, Alexander. Coherent Time Difference of Arrival Estimation Techniques for Frequency Hopping GSM Mobile Radio Signals. München: Oldenbourg Wissenschaftsverlag Verlag, 2013. http://dx.doi.org/10.1524/9783486748628.

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Haney, Timothy N. Generation of Global System for Mobile (GSM) signals and their Time Difference of Arrival (TDOA) estimation. Monterey, Calif: Naval Postgraduate School, 2000.

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Wilmot, Chester. Analysis of Louisiana vehicular input data for MOBILE 6. Baton Rouge, La: Louisiana Transportation Research Center, 2008.

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Luigi, Fortuna, Frasca Mattia, Rizzo Alessandro, Schenato Luca, Zampieri Sandro, and SpringerLink (Online service), eds. Modelling, Estimation and Control of Networked Complex Systems. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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Steinbrugge, Karl V. Dwelling and mobile home monetary losses due to the 1989 Loma Prieta, California, earthquake with an emphasis on loss estimation. Washington: U.S. G.P.O., 1994.

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M, Milanese, ed. Bounding approaches to system identification. New York: Plenum Press, 1996.

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Vestli, Sjur Jonas. Fast, accurate and robust estimation of mobile robot position and orientation: A dissertation submitted to the Swiss Federal Institute of Technology, Zurich, for the degree of Doctor of Technical Sciences. Zurich: Swiss Federal Institute of Technology, 1995.

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Book chapters on the topic "Estimation de l'horizon mobile"

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Kern, Nicky, and Bernt Schiele. "Towards Personalized Mobile Interruptibility Estimation." In Location- and Context-Awareness, 134–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752967_10.

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Danufane, Fadil, Placido Mursia, and Jiang Liu. "Channel Estimation in RIS-Aided Networks." In Enabling 6G Mobile Networks, 203–20. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74648-3_6.

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Pomerleau, Dean A. "Output Appearance Reliability Estimation." In Neural Network Perception for Mobile Robot Guidance, 117–31. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3192-0_8.

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Pomerleau, Dean A. "Input Reconstruction Reliability Estimation." In Neural Network Perception for Mobile Robot Guidance, 133–50. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3192-0_9.

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Talari, Murali Krishna, P. Sai Gautham, N. V. Ramana, and S. Kamakshaiah. "Energy Loss Estimation: A Mathematical Approach." In Mobile Communication and Power Engineering, 292–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35864-7_42.

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Tamas, Levente, Gheorghe Lazea, Andras Majdik, Mircea Popa, and Istvan Szoke. "Position Estimation Techniques for Mobile Robots." In Robot Motion and Control 2009, 319–28. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-985-5_29.

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Lee, Jongchan, Seung-Jae Yoo, and Dong Chun Lee. "Fuzzy Logic Adaptive Mobile Location Estimation." In Lecture Notes in Computer Science, 626–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30141-7_92.

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Casado, Fernando E., Adrián Nieto, Roberto Iglesias, Carlos V. Regueiro, and Senén Barro. "Robust Heading Estimation in Mobile Phones." In From Bioinspired Systems and Biomedical Applications to Machine Learning, 180–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19651-6_18.

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Prasad Reddy, P. V. G. D., and CH V. M. K. Hari. "Fuzzy Based PSO for Software Effort Estimation." In Information Technology and Mobile Communication, 227–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20573-6_36.

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Engels, Florian. "Target Shape Estimation Using an Automotive Radar." In Smart Mobile In-Vehicle Systems, 271–90. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9120-0_16.

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Conference papers on the topic "Estimation de l'horizon mobile"

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Kim, Minkyong, and Brian Noble. "Mobile network estimation." In the 7th annual international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/381677.381705.

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Leakkaw, Puttipong, and Sooksan Panichpapiboon. "Speed estimation through mobile sensing." In TENCON 2014 - 2014 IEEE Region 10 Conference. IEEE, 2014. http://dx.doi.org/10.1109/tencon.2014.7022319.

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Leakkaw, Puttipong, and Sooksan Panichpapiboon. "Clearance Estimation through Mobile Sensing." In 2017 21st International Computer Science and Engineering Conference (ICSEC). IEEE, 2017. http://dx.doi.org/10.1109/icsec.2017.8443796.

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Xiaoyun, Teng, Yuan Jia, and Yu Hongyi. "Probability density estimation based on SVM." In 2009 Global Mobile Congress. IEEE, 2009. http://dx.doi.org/10.1109/gmc.2009.5295893.

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Zajic, Alenka G. "Estimation of Velocities in Mobile-to-Mobile Wireless Fading Channels." In 2011 IEEE Vehicular Technology Conference (VTC Fall). IEEE, 2011. http://dx.doi.org/10.1109/vetecf.2011.6092883.

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Pu, Liang, Jian Liu, Yuan Fang, Wei Li, and Zhisen Wang. "Channel Estimation in Mobile Wireless Communication." In 2010 International Conference on Communications and Mobile Computing (CMC). IEEE, 2010. http://dx.doi.org/10.1109/cmc.2010.201.

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Hutter, A. A., R. Hasholzner, and J. S. Hammerschmidt. "Channel estimation for mobile OFDM systems." In Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324). IEEE, 1999. http://dx.doi.org/10.1109/vetecf.1999.797145.

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Srinivasan, Sumana, and Krithi Ramamritham. "Contour estimation using collaborating mobile sensors." In the 2006 workshop. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1160972.1160986.

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de Souza, Laudson Silva, and Gibeon Soares de Aquino. "MEstiAM: Estimation model for mobile applications." In 2014 9th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2014. http://dx.doi.org/10.1109/cisti.2014.6876949.

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Cai, Zixin, Owen Noel Newton Fernando, and Jia Ying Ong. "PoseBuddy : Pose Estimation Workout Mobile Application." In 2022 International Conference on Cyberworlds (CW). IEEE, 2022. http://dx.doi.org/10.1109/cw55638.2022.00034.

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Reports on the topic "Estimation de l'horizon mobile"

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Moore, Terrence, Fikadu Dagefu, Michael Weisman, Robert Drost, and Hakan Arslan. Range Estimation of an Ultraviolet Communication Source using a Mobile Sensor. Aberdeen Proving Ground, MD: DEVCOM Army Research Laboratory, September 2022. http://dx.doi.org/10.21236/ad1179957.

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Habib, Ayman, Yun-Jou Lin, Radhika Ravi, Tamer Shamseldin, and Magdy Elbahnasawy. LiDAR-Based Mobile Mapping System for Lane Width Estimation in Work Zone. Purdue University, January 2019. http://dx.doi.org/10.5703/1288284316730.

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Clark, G. Radiation Field Simulation and Estimation Algorithms for a Mobile Sensor and a Stationary Unknown Source. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1048918.

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Apeti, Ablam Estel, and Eyah Denise Edoh. Finding the Missing Stone: Mobile Money and the Quality of Tax Policy and Administration. Institute of Development Studies, January 2024. http://dx.doi.org/10.19088/ictd.2024.006.

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Making tax administration more efficient and maximising voluntary compliance is a very difficult task for developing countries. In this paper, we analyse the effect of mobile money payments on the quality of tax policy and administration for a large sample of countries in developing economies. We use the World Bank indicator on efficiency of revenue mobilisation as a measure of the quality of tax policy and administration and employ an entropy balancing method to show that mobile money payments improve the quality of tax systems. This result is robust to several robustness tests, including sample alteration, alternative measures of mobile money, controlling for other aspects of tax policy, and alternative estimation methods such as GMM-system, event study approach and ordinary least square. In addition, our results show that the positive effect of mobile money on tax systems depends on the level of development, financial development, the state’s legitimacy, a country’s fiscal space, the number of available products/companies, the type of mobile money services, and the geographic position of countries. Finally, we highlight some potential mechanisms underlying these findings through lower tax compliance burden, smaller informal sector, and lower corruption.
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Qamer, Faisal M., Sravan Shrestha, Kiran Shakya, Birendra Bajracharya, Shib Nandan Shah, Ram Krishna Regmi, Salik Paudel, et al. Operational in-season rice area estimation through Earth observation data in Nepal - working paper. International Centre for Integrated Mountain Development (ICIMOD), March 2023. http://dx.doi.org/10.53055/icimod.1017.

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In an effort to adopt emerging technologies in food security assessment through a codevelopment approach, the Government of Nepal’s Ministry of Agriculture and Livestock Development (MoALD) and the International Centre for Integrated Mountain Development’s (ICIMOD) SERVIR-HKH Initiative undertook a pilot study in Chitwan District in 2019 to jointly develop methods for satellite remote sensing and machine learning-based in-season crop assessment. MoALD experts and relevant stakeholders thoroughly reviewed the approach before the honourable minister approved it for formal use in the national-level assessment for 2020 and onwards. For wider adoption of the advanced data science methods established in the pilot study, we customised the technology by developing a digital suite of software, including GeoFairy (a mobile app to facilitate field data collection by field extension professionals at the district level) and RiceMapEngine (a simplified platform for machine learning-based crop classification to facilitate crop area map production by MoALD’s GIS Section). In the current federal governance structure of Nepal, high-quality crop maps and yield estimates will not only bridge information needs among the federal and subnational institutions but also provide a means for consistent cross-country crop status assessments and communication.
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Cai, H., and M. Wang. Estimation of Emission Factors and Particulate Black Carbon and Organic Carbon from Stationary, Mobile, and Non-point Sources in the United States for Incorporation into GREET. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1155133.

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no major revisions in the overall objective, however, several revisions were made on the specific objectives. The revised specific objectives were: (1) to develop a yield mapping system for a static situation, using color and thermal imaging independently, (2) to integrate color and thermal imaging for improved yield estimation by combining thermal images with color images to improve fruit detection, and (3) to expand the system to an autonomous mobile platform for a continuous-measure situation. Background, major conclusions, solutions and achievements -- Yield mapping is considered as an initial step for applying precision agriculture technologies. Although many yield mapping systems have been developed for agronomic crops, it remains a difficult task for mapping yield of tree crops. In this project, an autonomous immature fruit yield mapping system was developed. The system could detect and count the number of fruit at early growth stages of citrus fruit so that farmers could apply site-specific management based on the maps. There were two sub-systems, a navigation system and an imaging system. Robot Operating System (ROS) was the backbone for developing the navigation system using an unmanned ground vehicle (UGV). An inertial measurement unit (IMU), wheel encoders and a GPS were integrated using an extended Kalman filter to provide reliable and accurate localization information. A LiDAR was added to support simultaneous localization and mapping (SLAM) algorithms. The color camera on a Microsoft Kinect was used to detect citrus trees and a new machine vision algorithm was developed to enable autonomous navigations in the citrus grove. A multimodal imaging system, which consisted of two color cameras and a thermal camera, was carried by the vehicle for video acquisitions. A novel image registration method was developed for combining color and thermal images and matching fruit in both images which achieved pixel-level accuracy. A new Color- Thermal Combined Probability (CTCP) algorithm was created to effectively fuse information from the color and thermal images to classify potential image regions into fruit and non-fruit classes. Algorithms were also developed to integrate image registration, information fusion and fruit classification and detection into a single step for real-time processing. The imaging system achieved a precision rate of 95.5% and a recall rate of 90.4% on immature green citrus fruit detection which was a great improvement compared to previous studies. Implications – The development of the immature green fruit yield mapping system will help farmers make early decisions for planning operations and marketing so high yield and profit can be achieved.
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Dwelling and mobile home monetary losses due to the 1989 Loma Prieta, California, earthquake with an emphasis on loss estimation. US Geological Survey, 1994. http://dx.doi.org/10.3133/b1939b.

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