Academic literature on the topic 'Energy-Constrained'

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Dissertations / Theses on the topic "Energy-Constrained"

1

Wang, Xun. "On constrained contour energy minimization." Cincinnati, Ohio : University of Cincinnati, 2004. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1106795223.

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2

Tsimbalo, Evgeny. "Energy-constrained wireless communications for IoT." Thesis, University of Bristol, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723512.

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3

Karousatou, Christina. "Distributed algorithms for energy constrained mobile agents." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0373/document.

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Dans cette thèse, nous étudions et concevons des algorithmes pour des agents mobiles se déplaçant dans un graphe avec une énergie limité, restreignant leurs mouvements. Chaque agent mobile est une entité, équipée d’une batterie, qui peut parcourir les arêtes du graphe et visiter les noeuds du graphe. A chaque mouvement, l’agent consomme une partie de son énergie. Contrairement à divers modèles bien étudiés pour les agents mobiles, très peu de recherches ont été menées pour le modèle compte tenu des limites d’énergie. Nous étudions les problèmes fondamentaux de l’exploration d’un graphe, du gat
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4

Van, Ackooij Wim. "Chance Constrained Programming : with applications in Energy Management." Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2013. http://www.theses.fr/2013ECAP0071/document.

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Les contraintes en probabilité constituent un modèle pertinent pour gérer les incertitudes dans les problèmes de décision. En management d’énergie de nombreux problèmes d’optimisation ont des incertitudes sous-jacentes. En particulier c’est le cas des problèmes de gestion de la production au court-terme. Dans cette Thèse, nous investiguons les contraintes probabilistes sous l’angle théorique, algorithmique et applicative. Nous donnons quelques nouveaux résultats de différentiabilité des contraintes en probabilité et de convexité des ensembles admissibles. Des nouvelles variantes des méthodes d
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5

Margi, Cíntia Borges. "Energy consumption trade-offs in power constrained networks /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2006. http://uclibs.org/PID/11984.

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6

Van, ackooij Wim Stefanus. "Chance Constrained Programming : with applications in Energy Management." Phd thesis, Ecole Centrale Paris, 2013. http://tel.archives-ouvertes.fr/tel-00978519.

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In optimization problems involving uncertainty, probabilistic constraints are an important tool for defining safety of decisions. In Energy management, many optimization problems have some underlying uncertainty. In particular this is the case of unit commitment problems. In this Thesis, we will investigate probabilistic constraints from a theoretical, algorithmic and applicative point of view. We provide new insights on differentiability of probabilistic constraints and on convexity results of feasible sets. New variants of bundle methods, both of proximal and level type, specially tailored f
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7

Du, Hongtao. "Energy-constrained microsensor platform on-board image processing." Saarbrücken VDM Verlag Dr. Müller, 2007. http://d-nb.info/985423781/04.

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8

Ramachandran, Iyappan. "Joint PHY-MAC optimization for energy-constrained wireless networks /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/5968.

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9

Hendijanizadeh, M. "Design and optimisation of constrained electromagnetic energy harvesting devices." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/364524/.

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This thesis investigates the design and optimisation of constrained electromagnetic energy harvesters. It provides optimal design guidelines for constrained electromagnetic energy harvesters under harmonic and random vibrations. To find the characteristics of the vibration source, for instance vertical motion of a boat, the spectrum of the excitation amplitude should be obtained. Two Kalman filter based methods are proposed to overcome the difficulties of calculating displacement from measured acceleration. Analytical models describing the dynamics of linear and rotational electromagnetic ener
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10

Nguyen, Tuan-Duc. "Cooperative MIMO strategies for energy constrained wireless sensor networks." Rennes 1, 2009. https://theses.hal.science/docs/00/44/58/14/PDF/nguyen09PhDthesis_Cooperative_MIMO_Strategies_for_Energy_constrained_Wireless_Sensor_Networks.pdf.

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In wireless distributed networks, where multiple antennas can not be integrated in one node, cooperative Multi-Input Multi-Output (MIMO) techniques help to exploit the space time diversity gain in order to increase performances or to reduce the transmission energy consumption. In this thesis, strategies using cooperative MIMO techniques are proposed for Wireless Sensor Network (WSN) where the energy consumption is the most important design criterion. The performance and the energy consumption advantages of cooperative MIMO technique are investigated, in comparison with the SISO, multi-hop SISO
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