Relevant bibliographies by topics / Capteur « low cost »

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Academic literature on the topic 'Capteur « low cost »'

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Published: 25 May 2024

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Journal articles on the topic "Capteur « low cost »"

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Chatzitofis, Anargyros, Dimitrios Zarpalas, Petros Daras, and Stefanos Kollias. "DeMoCap: Low-Cost Marker-Based Motion Capture." International Journal of Computer Vision 129, no. 12 (2021): 3338–66. http://dx.doi.org/10.1007/s11263-021-01526-z.

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Hansen, Clint, Jean-Louis Honeine, David Gibas, Nasser Rezzoug, Philippe Gorce, and Brice Isableu. "Low-cost motion capture systems in practice." Computer Methods in Biomechanics and Biomedical Engineering 15, sup1 (2012): 253–55. http://dx.doi.org/10.1080/10255842.2012.713661.

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Tollefson, Jeff. "Low-cost carbon-capture project sparks interest." Nature 469, no. 7330 (2011): 276–77. http://dx.doi.org/10.1038/469276a.

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Matzen, Kevin, Michael F. Cohen, Bryce Evans, Johannes Kopf, and Richard Szeliski. "Low-cost 360 stereo photography and video capture." ACM Transactions on Graphics 36, no. 4 (2017): 1–12. http://dx.doi.org/10.1145/3072959.3073645.

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Putro, Muhamad Dwisnanto, Jane Litouw, and Vecky Canisius Poekoel. "Low-resolution facial emotion recognition on low-cost devices." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 2201. http://dx.doi.org/10.11591/ijai.v13.i2.pp2201-2211.

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The low-resolution input image is a crucial challenge for applying facial emotion recognition in real-world scenarios. The critical problem is that valuable object features are relatively lost in the extraction process due to their small size. On the other hand, this vision system is required by a machine to run smoothly on low-cost devices. Facial emotion recognition using a lightweight feature extractor is proposed in this study to effectively capture crucial facial components in a low-resolution image. To compromise the running speed, this work offers an efficient feature convolution to discriminate specific facial features. In addition, the system is embedded with an attentive module to capture important features and correlate them. Our model performance is evaluated on low-resolution public datasets achieving the accuracy of 97.34\%, 81.10\%, and 80.12\% on KDEF, RFDB, and FER-plus, respectively. The practical application demands that the deep learning model can operate fast on inexpensive devices. Consequently, the model achieved a speed of 290 FPS on a CPU device.
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de Carvalho, Luciene Santos, Etemistocles Silva, José Carlos Andrade, et al. "Low-cost mesoporous adsorbents amines-impregnated for CO2 capture." Adsorption 21, no. 8 (2015): 597–609. http://dx.doi.org/10.1007/s10450-015-9710-8.

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Grant, Tim, David Morgan, Andrea Poe, Jason Valenstein, Richard Lawrence, and James Simpson. "Which Reservoir for Low Cost Capture, Transportation, and Storage?" Energy Procedia 63 (2014): 2663–82. http://dx.doi.org/10.1016/j.egypro.2014.11.289.

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Barcelo-Ordinas, Jose M., Pau Ferrer-Cid, Jorge Garcia-Vidal, Anna Ripoll, and Mar Viana. "Distributed Multi-Scale Calibration of Low-Cost Ozone Sensors in Wireless Sensor Networks." Sensors 19, no. 11 (2019): 2503. http://dx.doi.org/10.3390/s19112503.

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New advances in sensor technologies and communications in wireless sensor networks have favored the introduction of low-cost sensors for monitoring air quality applications. In this article, we present the results of the European project H2020 CAPTOR, where three testbeds with sensors were deployed to capture tropospheric ozone concentrations. One of the biggest challenges was the calibration of the sensors, as the manufacturer provides them without calibrating. Throughout the paper, we show how short-term calibration using multiple linear regression produces good calibrated data, but instead produces biases in the calculated long-term concentrations. To mitigate the bias, we propose a linear correction based on Kriging estimation of the mean and standard deviation of the long-term ozone concentrations, thus correcting the bias presented by the sensors.
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Farella, Elisabetta, Luca Benini, Bruno Riccò, and Andrea Acquaviva. "MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers." Advances in Multimedia 2007 (2007): 1–11. http://dx.doi.org/10.1155/2007/82638.

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Human-computer interaction (HCI) and virtual reality applications pose the challenge of enabling real-time interfaces for natural interaction. Gesture recognition based on body-mounted accelerometers has been proposed as a viable solution to translate patterns of movements that are associated with user commands, thus substituting point-and-click methods or other cumbersome input devices. On the other hand, cost and power constraints make the implementation of a natural and efficient interface suitable for consumer applications a critical task. Even though several gesture recognition solutions exist, their use in HCI context has been poorly characterized. For this reason, in this paper, we consider a low-cost/low-power wearable motion tracking system based on integrated accelerometers called motion capture with accelerometers (MOCA) that we evaluated for navigation in virtual spaces. Recognition is based on a geometric algorithm that enables efficient and robust detection of rotational movements. Our objective is to demonstrate that such a low-cost and a low-power implementation is suitable for HCI applications. To this purpose, we characterized the system from both a quantitative point of view and a qualitative point of view. First, we performed static and dynamic assessment of movement recognition accuracy. Second, we evaluated the effectiveness of user experience using a 3D game application as a test bed.
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Oladoja, N. A., A. L. Ahmad, O. A. Adesina, and R. O. A. Adelagun. "Low-cost biogenic waste for phosphate capture from aqueous system." Chemical Engineering Journal 209 (October 2012): 170–79. http://dx.doi.org/10.1016/j.cej.2012.07.125.

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Dissertations / Theses on the topic "Capteur « low cost »"

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Woo, Heechul. "The selective low cost gas sensor based on functionalized graphene." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLX050/document.

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Les progrès récents dans les nanomatériaux présentent un fort potentiel pour la réalisation de capteurs de gaz avec de nombreux avantages tels que : la grande sensibilité de détection de molécule unique, le faible coût et la faible consommation d'énergie. Le graphène, isolé en 2004, est l'un des meilleurs candidats prometteurs pour le développement de futurs nanocapteurs en raison de sa structure à deux dimensions, sa conductivité élevée et sa grande surface spécifique. Chaque atome de la monocouche de graphène peut être considéré comme un atome de surface, capable d'interagir même avec une seule molécule de l'espèce gazeuse ou de vapeur cible, ce qui conduit finalement à un capteur ultrasensible.Dans cette thèse, des composants à base de graphène ont été fabriqués et caractérisés. Les films de graphène ont été synthétisés par dépôt chimique à phase vapeur (CVD) sur des substrats de verre. La spectroscopie Raman a été utilisée pour analyser la qualité et le nombre de couches de graphène. La microscope à force atomique (AFM) et la microscopie électronique à balayage (MEB) ont été également réalisées pour analyser la qualité du graphène. Après la caractérisation de couches de graphène, des dispositifs résistifs à base de graphène ont été fabriquées : quatre électrodes identiques ont été évaporées thermiquement et directement sur le film de graphène comme des électrodes métalliques. La caractérisation électrique a été réalisée à l'aide de Keithley-4200.La réponse de dispositif Intrinsèque a été étudiée sous différents conditions (pression, humidité, exposition à la lumière). Le dispositif a été fonctionnalisé de manière non covalente avec le complexe organométallique (Ru (II) trisbipyridine) et son effet sous exposition à la lumière a été étudié. La réponse de dispositif était reproductible même après de nombreux cycles en présence et en absence de la lumière. Les approches théoriques et expérimentales ainsi que les résultats obtenus au cours de cette thèse ouvrent un moyen de comprendre et de fabriquer des futurs dispositifs de détection de gaz à base du graphène fonctionnalisé de manière non covalente<br>Recent advances in nanomaterials provided a strong potential to create a gas sensor with many advantages such as high sensitivity of single molecule detection, low cost, and low power consumption. Graphene, isolated in 2004, is one of the best promising candidate for the future development of nanosensors applications because of its atom-thick, two-dimensional structures, high conductivity, and large specific surface areas. Every atom of a monolayer graphene can be considered as a surface atom, capable of interacting even with a single molecule of the target gas or vapor species, which eventually results in the ultrasensitive sensor response.In this thesis work, graphene films were synthesized by Chemical Vapor Deposition (CVD) on the glass substrate. Raman spectroscopy was used to analyze the quality and number of layers of graphene. Atomic Force Microscope (AFM) and Scanning Electron Microscopy (SEM) were also performed to analyze the quality of graphene. After the characterization of graphene films, graphene based resistive devices (four identical electrodes are thermally evaporated directly onto the graphene film as metal electrodes) were fabricated. The electrical characterization has been carried out using Keithley-4200.Intrinsic device response was studied with different external condition changes (pressure, humidity, light illumination). The device was non-covalently functionalized with organometallic complex (Ru(II) trisbipyridine) and the its light exposure response was studied. The observed device response was reproducible and similar after many cycles of on and off operations. The theoretical and experimental approaches and the results obtained during the thesis are opening up a way to understand and fabricate future gas sensing devices based on the non-covalentely functionalized graphene
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Rivera, Martinez Rodrigo Andres. "Validation and deployment of greenhouse gas sensors (CH4) for the characterization of industrial and urban sources." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASJ020.

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Cette thèse a pour objectif la reconstruction des concentrations de méthane (CH4) atmosphérique à partir des signaux bruts (tension électrique) de capteurs d'oxyde de métal (MOS) à bas coût afin de surveiller les émissions de CH4 sur des sites industriels. Notre stratégie se base essentiellement sur la colocalisation des mesures des capteurs à bas coût avec des instruments de référence de haute précision. Les données de concentration de CH4 des instruments de haute précision sont utilisées comme variable cible pour être reconstruites à partir des mesures brutes de tension électrique issue des capteurs MOS et d'autres prédicteurs. La reconstruction est accomplie avec des modèles d'apprentissage automatique et paramétriques. Il est appliqué aux problèmes très complexes dont la reconstruction des : 1) faibles variations de CH4 dans l'air ambiant du laboratoire, 2) variations rapides et de grandes amplitudes de CH4 sous forme de pics générés artificiellement sur un bac d'essai en laboratoire reproduisant des signaux typiquement observés lors de fuites réelles sur le terrain, et 3) variations rapides et de grandes amplitudes de CH4 mesurées sur le terrain durant une expérience de largage contrôlé de CH4 dans l'atmosphère. La première expérience de laboratoire a révélé une forte influence de la vapeur d'eau sur les mesures des capteurs MOS, ainsi que les bonnes performances du modèle de perceptron multicouches (MLP) pour reconstruire le signal CH4 à partir du signal brut du capteur (Chapitre 2). Les résultats de la deuxième expérience (Chapitre 3) ont montré l'importance du choix du type de capteur pour reconstruire le signal de concentration CH4 avec une précision de 1 ppm (RMSE). Nous avons ainsi mis en avant que les capteurs TGS 2611-C00 ont permis une reconstruction plus précise des pics de CH4 que les capteurs TGS 2611-E00. Une stratégie parcimonieuse d'apprentissage du modèle nous a permis de restreindre l'ensemble des données nécessaires à l'apprentissage de 70% à 25% des données totales sans dégradation des performances pour la reconstruction de pics de CH4. Les performances sur les estimations des flux d'émissions de CH4 lors des largages contrôlés dans l'atmosphère en utilisant les concentrations de CH4 reconstruites à partir des mesures issus des capteurs MOS et une inversion avec un modèle gaussien (Chapitre 4) ont été similaires à celles obtenues à partir des données des instruments de référence à haute précision, avec une erreur moyenne d'estimation des flux d'émission de 25% sur 11 largages et une erreur moyenne de localisation des sources d'émission de 9.5 m. Les résultats de cette thèse constituent une base pour explorer les techniques avancées d'apprentissage automatique pour la reconstruction du signal de concentrations de CH4 à partir du signal brut des capteurs MOS et étudier les informations requises par les modèles d'inversion afin d'offrir les meilleures estimations des flux d'émission et localisation des fuites de CH4<br>This PhD aims at reconstructing atmospheric CH4 concentrations from voltage signals recorded by low-cost Metal Oxide Sensors (MOS) for the purpose of monitoring CH4 leaks from an industrial facility. Our strategy is based on the collocation of measurements by low-cost sensors and expensive very high accuracy instruments. The CH4 concentrations data from the high accuracy reference instrument are then used as a target variable to be reconstructed using MOS voltage and other predictors. The reconstruction is performed with both machine learning models and parametric models. It is applied to increasingly complex problems, including the reconstruction of: 1) smooth variations of ambient room air CH4 in a laboratory, 2) fast and large variations of CH4 during concentration spikes generated on a test bench in a laboratory with a typical signature similar to that observed for real world leaks, and 3) fast and large variations of CH4 observed in the field during a dedicated controlled release experiment. The first laboratory experiments revealed a high influence of H2O in MOS sensors, and the reconstruction with a Multilayer perceptron model showed good agreement between the references and the reconstructed room air concentrations (Chapter 2). The results of the second experiment (Chapter 3) showed the importance of the selection of the sensor's type in order to produce reconstructions of CH4 concentration with a 1 ppm accuracy (RMSE). We also discovered that the TGS 2611-C00 sensors provided a more accurate reconstruction of CH4 spikes than the TGS 2611-E00 ones. A parsimonious model training strategy allowed us to restrict the training set from 70% to 25% of the data without a degradation in the reconstruction of the CH4 spikes. Emission of controlled releases from reconstructed CH4 concentrations measured by MOS sensors and the inversion of a Gaussian atmospheric model (Chapter 4) were similar to those inverted from high accuracy reference data, with an average emission rate estimation error of 25% over 11 controlled releases and a location error of 9.5 m. The results of this PhD are the basis to explore advanced techniques based on machine learning to produce accurate estimates of CH4 concentrations, and study the information required by inversion modelling that produced best estimates of the emission rate and location of CH4 leaks
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Picard, Charles-Florian. "Développement de méthodes et d’outils associant la modélisation numérique et des mesures in situ afin de concilier la qualité de l’air intérieur et l’efficacité énergétique." Thesis, La Rochelle, 2019. http://www.theses.fr/2019LAROS014.

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Connaître la Qualité de l’Air Intérieur (QAI) d’une ambiance est nécessaire pour répondre aux enjeux sanitaires et socio-économiques, liés à l’occupation des bâtiments, qui intéressent aussi bien le domaine public que le domaine privé. Les moyens de mesures de référence, généralement contraignants et coûteux, ne peuvent apporter, à eux seuls, une réponse aux besoins d’information QAI à grande échelle. Cette thèse s’intéresse à l’emploi de deux méthodes alternatives dans ce contexte, qui sont la modélisation et la mesure à bas coût, avec pour objectifs de lever certains freins à leur déploiement. Dans un premier temps, ce manuscrit décrit les développements numériques effectués afin d’enrichir une bibliothèque QAI de modélisation nodale, initiée à EDF R&amp;D. Ceux-ci concernent principalement la modélisation de l’humidité et du dépôt particulaire au sein des ambiances intérieures. Afin d’évaluer la pertinence des choix effectués, ils ont fait l’objet d’un travail de validation par confrontation à des solutions analytiques, à des données expérimentales et à d’autres outils de modélisation. Une des problématiques majeures de ce type de modélisation est le choix des données d’entrée. Celui-ci peut avoir un impact important sur les résultats fournis par la modélisation et la question de leur représentativité se pose. La modélisation de différents cas d’étude monozones ou multizones, des secteurs résidentiel et tertiaire, a mis en évidence les avantages et les limites de l’outil développé vis-à-vis de la qualité des prédictions des concentrations en polluants gazeux et particulaires. Une analyse de sensibilité a permis d’identifier les paramètres clefs responsables de l’incertitude du modèle pour différentes configurations. Dans un second temps, une méthode innovante de mesure des particules, associant plusieurs compteurs de particules à bas coût avec un fonctionnement en nappe, a été développée. Celle-ci a permis de s’attaquer aux problématiques de fiabilité des données et de limite de détection de ces capteurs à bas coût. La conception de prototypes et l’application de la méthode au sein de différentes ambiances ont donné des résultats encourageants. Plusieurs pistes sont alors proposées afin de généraliser et de valider la robustesse de l’approche<br>Indoor Air Quality (IAQ) knowledge is necessary to address the sanitary and socio-economic issues of this field, in both public and private domains. Laboratory-grade measuring devices are generally burdensome and expensive. Alone, they cannot provide a full response to large-scale IAQ information needs. This work focuses on the use of two alternative methods in this context, which are IAQ modeling and the use of low-cost sensors, with the purpose of removing certain barriers to their deployment. As a first step, this manuscript describes the numerical developments made in order to enrich a library of models for nodal modeling of IAQ, initiated by EDF R&amp;D. The main additions include the modeling of humidity and indoor particle deposition. In order to evaluate the relevance of the choices made, a validation work has been carried out by confronting the IAQ library results with analytical solutions, experimental data and other modeling tools. One of the major issues of this type of modeling method is the complex choice of input data. This step can have a significant impact on the results provided and there is a need to assess their influence. The modeling of various mono-zone or multi-zone case studies, from the residential and tertiary sectors, has highlighted the advantages and the limitations of the developed tool regarding the quality of the predictions of the concentrations of gaseous and particulate pollutants. A sensitivity analysis was carried out to identify the key parameters responsible for model uncertainty in a few configurations. As a second step, an innovative method of particulate matter measurement has been developed, associating several low-cost particle sensors. This approach allowed to tackle the issues of reliability of this kind of sensors and the limitations of their detection capabilities. The design of prototypes and their use in different indoor environments have given promising results. Several developments are then proposed in order to generalize and validate the robustness of this approach
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Ozyalcin, Anil E. "SOLITONS: A COMPACT, LOW-COST, AND WIRELESS BODY MOTION CAPTURE SYSTEM." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437440750.

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Chang, An S. M. Massachusetts Institute of Technology. "Low-cost air particulate monitor based on particle capture and imaging." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122506.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 72-74).<br>Particulate Matter (PM) pollution continues to be an important global environmental issue and raises increasing concerns for public health. The strong correlation between personal health impact and actual local exposure creates a huge demand for air particulate sensors meant for small-scale measurement. However, today's air particulate monitoring technologies suffer from high cost, high power requirements, or large size, which presents an opportunity to create low-cost, compact, and low-power sensors that are desired for block-level, household, automobile, or even personal-level monitoring. In this thesis, the basic concept components of a novel PM monitoring method based on capture and imaging are developed and validated. Two capture techniques, electrostatic precipitation (ESP) and fiber-filtration, are demonstrated and verified with corresponding imaging results. Particulates captured either on flat substrate or aligned fibers are illuminated by LED light source with a glancing angle, or with the help of waveguides. Light scattered from the particles is detected by a CMOS camera module, yielding the particle size distribution and also revealing the morphology and properties of particulates. The results suggest that, with proper data analysis, this approach has the potential to monitor the real-time PM level of the sampled air and also classify between different particle sources. A detection limit of 200 nm is demonstrated and two kinds of pollens are notably distinguished from solid dust particulates. Additional, assorted replenishment schemes are designed to ensure a long, maintenance-free operational life.<br>by An Chang.<br>S.M.<br>S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
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Salkinder, Jason. "Design of a low-cost high speed data capture card for the Hubble Sphere Hydrogen Survey." Master's thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/14699.

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Includes bibliographical references (leaves 101-105).<br>This thesis describes the design and implementation of a low-cost high speed data capture card for the Hubble Sphere Hydrogen Survey (HSHS). The Hubble Space Hydrogen Survey was initiated in an effort to build a low-cost cylindrical radio telescope for an all sky redshift survey with the observational goal to produce a 3-dimensional mapping of the bulk Hubble Sphere using Hydrogen 21cm emissions. This dissertation ï¬ rst investigates the system design to see how each of the user speciï¬ cations set by the planning team could be achieved in terms of design decisions, component selection and schematic capture. The final design. AstroGIG, satisï¬ es the user speciï¬ cations by capturing data up to a full power bandwidth of 1.7GHz with an instantaneous bandwidth of ≤ 250MHz white maximizing the dynamic range. AstroGIG buffers, processes, stores and ï¬ nally transmits the data through a 4-lane PCI-Express interface to a standard PC where the majority of the processing is performed. The system implementation is then described where issues relating to the process of transforming schematics into a physical PCB, and HSHS integration are discussed. The design is veriï¬ ed through Hyperlynx simulations to give a high degree of certainty that physical implementation and production would be successful. Results from tests on the actual hardware characterizing the overall system performance are presented. Conclusions are drawn based on these results and suggestions for future work and design improvements are recommended.
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Le, Xuan-Chien. "Improving performance of non-intrusive load monitoring with low-cost sensor networks." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S019/document.

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Dans les maisons et bâtiments intelligents, il devient nécessaire de limiter l'intervention humaine sur le système énergétique, afin de fluctuer automatiquement l'énergie consommée par les appareils consommateurs. Pour cela, un système de mesure de la consommation électrique d'équipements est aussi nécessaire et peut être déployé de deux façons : intrusive ou non-intrusive. La première solution consiste à relever la consommation de chaque appareil, ce qui est inenvisageable à une grande échelle pour des raisons pratiques liées à l'entretien et aux coûts. Donc, la solution non-intrusive (NILM pour Non-Intrusive Load Monitoring), qui est capable d'identifier les différents appareils en se basant sur les signatures extraites d'une consommation globale, est plus prometteuse. Le problème le plus difficile des algorithmes NILM est comment discriminer les appareils qui ont la même caractéristique énergétique. Pour surmonter ce problème, dans cette thèse, nous proposons d'utiliser une information externe pour améliorer la performance des algorithmes existants. Les premières informations additionnelles proposées considèrent l'état précédent de chaque appareil comme la probabilité de transition d'état ou la distance de Hamming entre l'état courant et l'état précédent. Ces informations sont utilisées pour sélectionner l'ensemble le plus approprié des dispositifs actifs parmi toutes les combinaisons possibles. Nous résolvons ce problème de minimisation en norme l1 par un algorithme d'exploration exhaustive. Nous proposons également d'utiliser une autre information externe qui est la probabilité de fonctionnement de chaque appareil fournie par un réseau de capteurs sans fil (WSN pour Wireless Sensor Network) déployé dans le bâtiment. Ce système baptisé SmartSense, est différent de la solution intrusive car seul un sous-ensemble de tous les dispositifs est surveillé par les capteurs, ce qui rend le système moins intrusif. Trois approches sont appliquées dans le système SmartSense. La première approche applique une détection de changements de niveau sur le signal global de puissance consommé et les compare avec ceux existants pour identifier les dispositifs correspondants. La deuxième approche vise à résoudre le problème de minimisation en norme l1 avec les algorithmes heuristiques de composition Paréto-algébrique et de programmation dynamique. Les résultats de simulation montrent que la performance des algorithmes proposés augmente significativement avec la probabilité d'opération des dispositifs surveillés par le WSN. Comme il n'y a qu'un sous-ensemble de tous les appareils qui sont surveillés par les capteurs, ceux qui sont sélectionnés doivent satisfaire quelques critères tels qu'un taux d'utilisation élevé ou des confusions dans les signatures sélectionnées avec celles des autres<br>In smart homes, human intervention in the energy system needs to be eliminated as much as possible and an energy management system is required to automatically fluctuate the power consumption of the electrical devices. To design such system, a load monitoring system is necessary to be deployed in two ways: intrusive or non-intrusive. The intrusive approach requires a high deployment cost and too much technical intervention in the power supply. Therefore, the Non-Intrusive Load Monitoring (NILM) approach, in which the operation of a device can be detected based on the features extracted from the aggregate power consumption, is more promising. The difficulty of any NILM algorithm is the ambiguity among the devices with the same power characteristics. To overcome this challenge, in this thesis, we propose to use an external information to improve the performance of the existing NILM algorithms. The first proposed additional features relate to the previous state of each device such as state transition probability or the Hamming distance between the current state and the previous state. They are used to select the most suitable set of operating devices among all possible combinations when solving the l1-norm minimization problem of NILM by a brute force algorithm. Besides, we also propose to use another external feature that is the operating probability of each device provided by an additional Wireless Sensor Network (WSN). Different from the intrusive load monitoring, in this so-called SmartSense system, only a subset of all devices is monitored by the sensors, which makes the system quite less intrusive. Two approaches are applied in the SmartSense system. The first approach applies an edge detector to detect the step-changes on the power signal and then compare with the existing library to identify the corresponding devices. Meanwhile, the second approach tries to solve the l1-norm minimization problem in NILM with a compositional Pareto-algebraic heuristic and dynamic programming algorithms. The simulation results show that the performance of the proposed algorithms is significantly improved with the operating probability of the monitored devices provided by the WSN. Because only part of the devices are monitored, the selected ones must satisfy some criteria including high using rate and more confusions on the selected patterns with the others
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Barrau, Florian. "Etude d'une solution de localisation dans un réseau de capteurs sans fils." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4767.

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Le repérage (localisation topologique) des capteurs dans un réseau sans fil ouvre la porte à de nombreuses applications. Les techniques actuelles basées sur la puissance du signal reçu restent peu fiable compte-tenu de la stabilité des mesures dans le circuit. Des techniques plus précises inspirées des radars ont été proposées mais cela nécessite un type de radio adaptée qui s'avère trop couteuse, autant en termes d'implémentation qu'en termes de consommation électrique. Cependant, une des difficultés majeure de l'adaptation de ces techniques de localisation aux réseaux de capteurs sans fil reste leur inadéquation avec leur faible coût de réalisation et la faible consommation électrique requise pour ces dispositifs autonomes. En particulier, les étages radio et de génération d'horloge des modems ZigBee introduisent une grande incertitude sur la fiabilité des mesures. Les algorithmes digitaux très complexes demandent à être tout particulièrement étudiés et améliorés afin de ne pas dépasser un budget de consommation extrêmement réduit tout en tentant d'atteindre une complexité d'implémentation aussi faible que possible.Les travaux de cette thèse se concentrent sur 2 principaux objectifs: l'élaboration d'un circuit digital étant capable de calculer de temps d'arrivée en temps réel, et l'élaboration de prototypes permettant le positionnement d'un noeud. La principale contrainte, est l'utilisation d'un seul canal ZigBee de la norme 802.15.4. Ce travail a permi d'appréhender les problèmes liés à la mesure de distance et envisager l'adaptation de ces techniques aux contraintes spécifiques des réseaux de capteurs sans fil et du type de radio utilisée<br>Tracking sensors in a wireless network leads to many applications. However, current techniques based on the received signal strength are unreliable given the stability of measurements. More accurate techniques inspired from radars have been proposed but they require an expensive radio. However, one of the most difficult aspects regarding the localization in a wireless sensor network remains their inadequacy with their low-cost and low-power characteristics. For example, clock generation of ZigBee modems introduce strong uncertainties regarding the reliability of measurements. Demanding digital algorithms must be carefully studied and improved in order not to exceed requirements defined by industrials. In other words, the purpose is to design an implementation as cheap as possible while keeping a minimum accuracy. The work of this thesis focuses on two main objectives: the development of a digital circuit capable of calculating time of arrivals, and the development of prototypes for a future positioning feature. The main constraint is the use of a single channel from the ZigBee 802.15.4 standard. This work enabled to understand issues regarding the distance measurements and adapt them given wireless sensor network constraints
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Atchuthan, Dinesh. "Towards new sensing capabilities for legged locomotion using real-time state estimation with low-cost IMUs." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30316/document.

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L'estimation en robotique est un sujet important affecté par les compromis entre certains critères majeurs parmi lesquels nous pouvons citer le temps de calcul et la précision. L'importance de ces deux critères dépend de l'application. Si le temps de calcul n'est pas important pour les méthodes hors ligne, il devient critique lorsque l'application doit s'exécuter en temps réel. De même, les exigences de précision dépendent des applications. Les estimateurs EKF sont largement utilisés pour satisfaire les contraintes en temps réel tout en obtenant une estimation avec des précisions acceptables. Les centrales inertielles (Inertial Measurement Unit - IMU) demeurent des capteurs répandus dnas les problèmes d'estimation de trajectoire. Ces capteurs ont par ailleurs la particularité de fournir des données à une fréquence élevée. La principale contribution de cette thèses est une présentation claire de la méthode de préintégration donnant lieu à une meilleure utilisation des centrales inertielles. Nous appliquons cette méthode aux problèmes d'estimation dans les cas de la navigation piétonne et celle des robots humanoïdes. Nous souhaitons par ailleurs montrer que l'estimation en temps réel à l'aide d'une centrale inertielle à faible coût est possible avec des méthodes d'optimisation tout en formulant les problèmes à l'aide d'un modèle graphique bien que ces méthodes soient réputées pour leurs coûts élevés en terme de calculs. Nous étudions également la calibration des centrales inertielles, une étape qui demeure critique pour leurs utilisations. Les travaux réalisés au cours de cette thèse ont été pensés en gardant comme perspective à moyen terme le SLAM visuel-inertiel. De plus, ce travail aborde une autre question concernant les robots à jambes. Contrairement à leur architecture habituelle, pourrions-nous utiliser plusieurs centrales inertielles à faible coût sur le robot pour obtenir des informations précieuses sur le mouvement en cours d'exécution ?<br>Estimation in robotics is an important subject affected by trade-offs between some major critera from which we can cite the computation time and the accuracy. The importance of these two criteria are application-dependent. If the computation time is not important for off-line methods, it becomes critical when the application has to run on real-time. Similarly, accuracy requirements are dependant on the applications. EKF estimators are widely used to satisfy real-time constraints while achieving acceptable accuracies. One sensor widely used in trajectory estimation problems remains the inertial measurement units (IMUs) providing data at a high rate. The main contribution of this thesis is a clear presentation of the preintegration theory yielding in a better use IMUs. We apply this method for estimation problems in both pedestrian and humanoid robots navigation to show that real-time estimation using a low- cost IMU is possible with smoothing methods while formulating the problems with a factor graph. We also investigate the calibration of the IMUs as it is a critical part of those sensors. All the development made during this thesis was thought with a visual-inertial SLAM background as a mid-term perspective. Firthermore, this work tries to rise another question when it comes to legged robots. In opposition to their usual architecture, could we use multiple low- cost IMUs on the robot to get valuable information about the motion being executed?
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Craig, Michael T. "Economic and Environmental Costs, Benefits, and Trade-offs of Low-carbon Technologies in the Electric Power Sector." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1099.

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Motivated by the role of decarbonizing the electric power sector to mitigate climate change, I assess the economic and environmental merits of three key technologies for decarbonizing the electric power sector across four chapters in this thesis. These chapters explore how adding flexibility to power plants equipped with carbon capture and sequestration (CCS) affects system costs and carbon dioxide (CO2) emissions, how grid-scale electricity storage affects system CO2 emissions as a power system decarbonizes, and how distributed solar photovoltaic (distributed PV) electricity generation suppresses wholesale electricity prices. In each chapter, I address these questions through a combination of power system optimization, statistics, and techno-economic analysis, and tie my findings to policy implications. In Chapter 2, I compare the cost-effectiveness of “flexible” CCS retrofits to other compliance strategies with the U.S. Clean Power Plan (CPP) and a hypothetical stronger CPP. Relative to “normal” CCS, “flexible” CCS retrofits include solvent storage that allows the generator to temporarily eliminate the CCS parasitic load and increase the generator’s net efficiency, capacity, and ramp rate. Using a unit commitment and economic dispatch (UCED) model, I find that flexible CCS achieves more cost-effective emissions reductions than normal CCS under the CPP and stronger CPP, but that flexible CCS is less cost-effective than other compliance strategies under both reduction targets. In Chapter 3, I conduct a detailed comparison of how flexible versus normal CCS retrofits affect total system costs and CO2 emissions under a moderate and strong CO2 emission limit. Given that a key benefit of flexible CCS relative to normal CCS is increased reserve provision, I break total system costs into generation, reserve, and CCS capital costs. Using a UCED model, I find that flexible CCS retrofits reduce total system costs relative to normal CCS retrofits under both emission limits. Furthermore, 40-80% of these cost reductions come from reserve cost reductions. Accounting for costs and CO2 emissions, though, flexible CCS poses a trade-off to policymakers under the moderate emission limit, as flexible CCS increases system CO2 emissions relative to normal CCS. No such trade-off exists under the stronger emission limit, as flexible CCS reduces system CO2 emissions and costs relative to normal CCS. In Chapter 4, I quantify how storage affects operational CO2 emissions as a power system decarbonizes under a moderate and strong CO2 emission limit through 2045. In so doing, I aim to better understand how storage transitions from increasing CO2 emissions in historic U.S. systems to enabling deeply decarbonized systems. Additionally, under each target I compare how storage affects CO2 emissions when participating in only energy, only reserve, and energy and reserve markets. Using a capacity expansion (CE) model to forecast fleet changes through 2045 and a UCED model to quantify how storage affects system CO2 emissions, I find that storage quickly transitions from increasing to decreasing CO2 emissions under the moderate and strong emission limits. Whether storage provides only energy, only reserves, or energy and reserves drives large differences in the magnitude, but not the direction, of the effect of storage on CO2 emissions. In Chapter 5, I quantify a benefit of distributed photovoltaic (PV) generation often overlooked by value of solar studies, namely the market price response. By displacing high-cost marginal generators, distributed PV generation reduces wholesale electricity prices, which in turn reduces utilities’ energy procurement costs. Using 2013 through 2015 data from California including a database of all distributed PV systems in the three California investor owned utilities, we estimate historic hourly distributed PV generation in California, then link that generation to reduced wholesale electricity prices via linear regression. From 2013 through 2015, we find that distributed PV suppressed historic median hourly LMPs by up to $2.7-3.1/MWh, yielding avoided costs of up to $650-730 million. These avoided costs are smaller than but on the order of other avoided costs commonly included in value of solar studies, so merit inclusion in future studies to properly value distributed PV.
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Books on the topic "Capteur « low cost »"

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Desideri, Umberto, Giampaolo Manfrida, and Enrico Sciubba, eds. ECOS 2012. Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.

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The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology.
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Department of Energy Carbon Capture and Storage Research, Development, and Demonstration Act of 2007: Report together with additional views (to accompany H.R. 1933) (including cost estimate of the Congressional Budget Office). U.S. G.P.O., 2007.

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Takenaka, Norio. TB3152 - Multiple Capture/Compare/PWM: Extending the Functionality for Low-Cost Motor Control Applications. Microchip Technology Incorporated, 2017.

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Mathur, Shishir. Innovation in Public Transport Finance: Property Value Capture. Taylor & Francis Group, 2016.

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Mathur, Shishir. Innovation in Public Transport Finance: Property Value Capture. Taylor & Francis Group, 2016.

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Natalino, Ronzitti. Part 1 The Cold War Era (1945–89), 18 The Mayaguez Incident—1975. Oxford University Press, 2018. http://dx.doi.org/10.1093/law/9780198784357.003.0018.

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This Chapter takes into consideration the Mayaguez incident, which occurred on 12 May 1975, immediately after the end of Vietnam war. The Mayaguez was a US cargo vessel accused by Cambodia of carrying out an espionage mission during its navigation off the Cambodia coast and for this reason boarded and captured by the Cambodian gunboats. The US, after having erroneously qualifying the capture as an act of piracy, intervened in rescue of their nationals and recovered the ship. The precedent raises several legal issues ranging from the law of espionage to the legality of forceful measures taken by the coastal State in its territorial sea and/or in its adjacent waters. However, the main legal value of the Mayaguez incident arises from the fact that it is considered a precedent for testing the validity of the doctrine of using armed force for rescuing nationals abroad.
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Mathur, Shishir. Innovation in Public Transport Finance: Property Value Capture. Taylor & Francis Group, 2016.

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Innovation in Public Transport Finance: Property Value Capture. Taylor & Francis Group, 2014.

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Dua, Jatin. A Sea of Profit. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198813415.003.0008.

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From 2007-2012, the waters off the coast of Somalia saw an unprecedented upsurge in incidents of maritime piracy with over 150 ships and 3,000 crewmembers being held hostage. Understood as a legacy of state failure and criminality, maritime piracy has largely been seen as a law and order problem. This chapter reframes piracy outside a narrative of failure— of governance, of states, and of other international institutions. By emphasizing the centrality of capture—and notions of bounty, payment, and redistribution nested within it—this chapter illuminates shifts in relationships of property and profit across scale and time and suggests that understanding the transformation of fishermen into pirates requires an exploration of the long and complex interplay between sea and land and between fishing and pastoralism in Somalia and the Western Indian Ocean.
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Romsom, Etienne, and Kathryn McPhail. Capturing economic and social value from hydrocarbon gas flaring and venting: solutions and actions. 6th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/940-2.

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This second paper on hydrocarbon gas flaring and venting builds on our first, which evaluated the economic and social cost (SCAR) of wasted natural gas. These emissions must be reduced urgently for natural gas to meet its potential as an energy-transition fuel under the Paris Agreement on Climate Change and to improve air quality and health. Wide-ranging initiatives and solutions exist already; the selection of the most suitable ones is situation-dependent. We present solutions and actions in a four-point (‘Diamond’) model involving: (1) measurement of chemicals emitted, (2) accountability and transparency of emissions through disclosure and reporting, (3) economic deployment of technologies for (small-scale) gas monetization, and (4) an ‘all-of-government’ approach to regulation and fiscal measures. Combining these actions in an integrated framework can end routine flaring and venting in many oil and gas developments. This is particularly important for low- and middle-income countries: satellite data since 2005 show that 85 per cent of total gas flared is in developing countries. Satellite data in 2017 identified location and amount of natural gas burned for 10,828 individual flares in 94 countries. Particular focus is needed to improve flare quality and capture natural gas from the 1 per cent ‘super-emitter’ flares responsible for 23 per cent of global natural gas flared.
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Book chapters on the topic "Capteur « low cost »"

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Rybarczyk, Yves. "3D Markerless Motion Capture: A Low Cost Approach." In New Advances in Information Systems and Technologies. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31232-3_68.

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Xu, Richard Y. D. "A Portable and Low-Cost E-Learning Video Capture System." In Advanced Concepts for Intelligent Vision Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11864349_99.

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Tiesel, Jan-Phillip, and Jörn Loviscach. "A Mobile Low-Cost Motion Capture System Based on Accelerometers." In Advances in Visual Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11919629_45.

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Lourenço, João, Leonardo Martins, Rui Almeida, Claudia Quaresma, and Pedro Vieira. "Low Cost Inertial Measurement Unit for Motion Capture in Biomedical Applications." In Technological Innovation for Cyber-Physical Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31165-4_16.

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Colombo, Giorgio, Daniele Regazzoni, Caterina Rizzi, and Giordano De Vecchi. "Preliminary Analysis of Low-Cost Motion Capture Techniques to Support Virtual Ergonomics." In Lecture Notes in Mechanical Engineering. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1050-4_34.

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Arastoopour, Hamid, and Javad Abbasian. "Chemical Looping of Low-Cost MgO-Based Sorbents for CO2 Capture in IGCC." In Handbook of Chemical Looping Technology. Wiley-VCH Verlag GmbH & Co. KGaA, 2018. http://dx.doi.org/10.1002/9783527809332.ch14.

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He, Hui, Mengxiang Fang, Wei Yu, Qunyang Xiang, Tao Wang, and Zhongyang Luo. "A Low-Cost Chemical Absorption Scheme for 500,000 t/y CO2 Capture Project." In Clean Coal Technology and Sustainable Development. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2023-0_50.

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Rybarczyk, Yves, Jan Kleine Deters, Arián Aladro Gonzalo, et al. "Recognition of Physiotherapeutic Exercises Through DTW and Low-Cost Vision-Based Motion Capture." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60366-7_33.

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Krimsky, Sheldon. "The Corporate Capture of Academic Science and Its Social Costs." In Genetics and the Law III. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-4952-5_5.

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McNally, Michael J., Jack C. Chaplin, Giovanna Martínez-Arellano, and Svetan Ratchev. "Data Capture and Visualisation on a Shoestring: Demonstrating the Digital Manufacturing on a Shoestring Project." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_14.

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AbstractThe adoption of digital manufacturing in small to medium enterprises (SMEs) in the manufacturing sector in the UK is low, yet these technologies offer significant promise to boost productivity. Two major causes of this lack of uptake is the high upfront cost of digital technologies, and the skill gap preventing understanding and implementation. This paper describes a common approach to data capture and visualisation that is cheap and simple. Cheap through the utilisation of low cost and readily available consumer technologies, and simple through the pre-defined flexible approaches that require a minimum of configuration. This approach was implemented on three demonstrators to showcase the flexibility of the approach. These were a tool condition monitoring system, a job and machine status monitor, and a robotic process monitor. The development process resulted in a software architecture where processes were separated and communicated by message queues. We conclude that a service oriented architecture would be the best system for carrying forward the development process. This research was conducted as part of the wider EPSRC Digital Manufacturing on a Shoestring project.
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Conference papers on the topic "Capteur « low cost »"

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Seif El Nasr, Adel Ahmed, Frank Haiko Geuzebroek, and Prachi Singh. "Low Cost CO2 Capture: Dream or Reality?" In Abu Dhabi International Petroleum Exhibition & Conference. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/192726-ms.

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Sama, M., V. Pacella, E. Farella, L. Benini, and B. Ricco. "3dID: a low-power, low-cost hand motion capture device." In 2006 Design, Automation and Test in Europe. IEEE, 2006. http://dx.doi.org/10.1109/date.2006.243817.

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Bönsch, Andrea, Andrew Feng, Parth Patel, and Ari Shapiro. "Volumetric Video Capture using Unsynchronized, Low-cost Cameras." In 14th International Conference on Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007373200002108.

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Bönsch, Andrea, Andrew Feng, Parth Patel, and Ari Shapiro. "Volumetric Video Capture using Unsynchronized, Low-cost Cameras." In 14th International Conference on Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007373202550261.

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Ryu, Young Kee, and Choonsuk Oh. "RF Signal Synchronized Low Cost Motion Capture Device." In 2007 Asia-Pacific Microwave Conference - (APMC 2007). IEEE, 2007. http://dx.doi.org/10.1109/apmc.2007.4554680.

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Chatzitofis, Anargyros, Georgios Albanis, Nikolaos Zioulis, and Spyridon Thermos. "A Low-cost & Realtime Motion Capture System." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.02078.

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Dong, Jing, Kurt R. Bengtson, Barrett F. Robinson, and Jan P. Allebach. "Low-cost structured-light based 3D capture system design." In IS&T/SPIE Electronic Imaging, edited by Atilla M. Baskurt and Robert Sitnik. SPIE, 2014. http://dx.doi.org/10.1117/12.2042599.

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Babayan, Joseph, Mohammad Hommaid, Ali Hage-Diab, and Samih Abdulnabi. "Low-cost dry swimming machine using Kinect biomotion capture." In 2015 International Conference on Advances in Biomedical Engineering (ICABME). IEEE, 2015. http://dx.doi.org/10.1109/icabme.2015.7323307.

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Ryu, Young Kee, and Choonsuk Oh. "A low cost PSD-based monocular motion capture system." In International Symposium on Optomechatronic Technologies, edited by Rainer Tutsch, Hong Zhao, Katsuo Kurabayashi, Yasuhiro Takaya, and Pavel Tománek. SPIE, 2007. http://dx.doi.org/10.1117/12.754221.

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Oguchi, Kimio, and Keita Akimoto. "Feasible Human Recognition by Using Low-cost Markerless Motion Capture." In 2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC). IEEE, 2018. http://dx.doi.org/10.1109/icsgrc.2018.8657582.

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Reports on the topic "Capteur « low cost »"

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Robert Perry, Teresa Grocela-Rocha, Michael O'Brien, et al. Novel High Capacity Oligomers for Low Cost CO2 Capture. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1013258.

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Singh, Surinder, Irina Spiry, Benjamin Wood, Dan Hancu, and Wei Chen. Pilot-Scale Silicone Process for Low-Cost Carbon Dioxide Capture. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1149479.

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Wood, Benjamin, Sarah Genovese, Robert Perry, et al. Bench-Scale Silicone Process for Low-Cost CO{sub 2} Capture. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1131945.

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Vipperla, Ravikumar, Michael Yee, Ray Steele, Surinder Singh, Irina Spiry, and Benjamin Wood. Bench-Scale Silicone Process for Low-Cost CO{sub 2} Capture. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1133118.

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Fresia, Megan, and Kirk Vogt. Bench-Scale Silicone Process for Low-Cost CO{sub 2} Capture. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1133124.

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Vipperla, Ravikumar, Michael Yee, and Ray Steele. Bench-Scale Silicone Process for Low-Cost CO{sub 2} Capture. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1133141.

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John C. Kramlich and Linda Castiglone. The Homogeneous Forcing of Mercury Oxidation to Provide Low-Cost Capture. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/881965.

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John C. Kramlich and Linda Castiglone. The Homogeneous Forcing of Mercury Oxidation to Provide Low-Cost Capture. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/881985.

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John Kramlich and Linda Castiglone. The Homogeneus Forcing of Mercury Oxidation to provide Low-Cost Capture. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/966369.

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Wood, Benjamin. Design of Bench-Scale Silicone Process for Low-Cost CO{sub 2} Capture. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1133138.

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