Letteratura scientifica selezionata sul tema "Energy-Constrained"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Consulta la lista di attuali articoli, libri, tesi, atti di convegni e altre fonti scientifiche attinenti al tema "Energy-Constrained".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Articoli di riviste sul tema "Energy-Constrained":
Shuguang Cui, A. J. Goldsmith e A. Bahai. "Energy-constrained modulation optimization". IEEE Transactions on Wireless Communications 4, n. 5 (settembre 2005): 2349–60. http://dx.doi.org/10.1109/twc.2005.853882.
Chessa, Alessandro, Enzo Marinari e Alessandro Vespignani. "Energy constrained sandpile models". Computer Physics Communications 121-122 (settembre 1999): 622. http://dx.doi.org/10.1016/s0010-4655(06)70029-7.
Koukkari, Pertti, Risto Pajarre e Klaus Hack. "Constrained Gibbs energy minimisation". International Journal of Materials Research 98, n. 10 (ottobre 2007): 926–34. http://dx.doi.org/10.3139/146.101550.
Chessa, Alessandro, Enzo Marinari e Alessandro Vespignani. "Energy Constrained Sandpile Models". Physical Review Letters 80, n. 19 (11 maggio 1998): 4217–20. http://dx.doi.org/10.1103/physrevlett.80.4217.
CHEN, Juan. "Energy-Constrained Software Prefetching Optimization". Journal of Software 17, n. 7 (2006): 1650. http://dx.doi.org/10.1360/jos171650.
Wojtowytsch, Stephan. "Helfrich’s energy and constrained minimisation". Communications in Mathematical Sciences 15, n. 8 (2017): 2373–86. http://dx.doi.org/10.4310/cms.2017.v15.n8.a10.
Johnson, Steven. "Constrained energy minimization and the target-constrained interference-minimized filter". Optical Engineering 42, n. 6 (1 giugno 2003): 1850. http://dx.doi.org/10.1117/1.1571062.
Christen, Markus, Clara D. Christ e Wilfred F. van Gunsteren. "Free Energy Calculations Using Flexible-Constrained, Hard-Constrained and Non-Constrained Molecular Dynamics Simulations". ChemPhysChem 8, n. 10 (16 luglio 2007): 1557–64. http://dx.doi.org/10.1002/cphc.200700176.
Wang, Qian, Kriti Sen Sharma e Hengyong Yu. "Geometry and energy constrained projection extension". Journal of X-Ray Science and Technology 26, n. 5 (20 settembre 2018): 757–75. http://dx.doi.org/10.3233/xst-18383.
Washburn, Alan. "Energy‐constrained pursuit in a fluid". Naval Research Logistics (NRL) 41, n. 7 (dicembre 1994): 935–43. http://dx.doi.org/10.1002/1520-6750(199412)41:7<935::aid-nav3220410706>3.0.co;2-#.
Tesi sul tema "Energy-Constrained":
Wang, Xun. "On constrained contour energy minimization". Cincinnati, Ohio : University of Cincinnati, 2004. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1106795223.
Tsimbalo, Evgeny. "Energy-constrained wireless communications for IoT". Thesis, University of Bristol, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.723512.
Karousatou, Christina. "Distributed algorithms for energy constrained mobile agents". Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0373/document.
In this thesis we study and design algorithms for solving various well-known problems for mobile agents moving on a graph, with the additional constraint of limited energy which restricts the movement of the agents. Each mobile agent is an entity, equipped with a battery, that can traverse the edges of the graph and visit the nodes of the graph, consuming a part of its energy for movement. In contrast to various well-studied models for mobile agents, very little research has been conducted for the model considering the energy limitations. We study the fundamental problems of graph exploration, gathering and collaborative delivery in this model
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.
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 for convex optimization under probabilistic constraints, are given and convergence shown. Both methods explicitly deal with evaluation errors in both the gradient and value of the probabilistic constraint. We also look at two applications from energy management: cascaded reservoir management with uncertainty on inflows and unit commitment with uncertainty on customer load. In both applications uncertainty is dealt with through the use of probabilistic constraints. The presented numerical results seem to indicate the feasibility of solving an optimization problem with a joint probabilistic constraint on a system having up to 200 constraints. This is roughly the order of magnitude needed in the applications. The differentiability results involve probabilistic constraints on uncertain linear and nonlinear inequality systems. In the latter case a convexity structure in the underlying uncertainty vector is required. The uncertainty vector is assumed to have a multivariate Gaussian or Student law. The provided gradient formulae allow for efficient numerical sampling schemes. For probabilistic constraints that can be rewritten through the use of Copulae, we provide new insights on convexity of the feasible set. These results require a generalized concavity structure of the Copulae, the marginal distribution functions of the underlying random vector and of the underlying inequality system. These generalized concavity properties may hold only on specific sets
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.
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.
Du, Hongtao. "Energy-constrained microsensor platform on-board image processing". Saarbrücken VDM Verlag Dr. Müller, 2007. http://d-nb.info/985423781/04.
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.
Hendijanizadeh, M. "Design and optimisation of constrained electromagnetic energy harvesting devices". Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/364524/.
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.
Dans les réseaux sans fil distribués où plusieurs antennes ne peuvent pas être intégrées dans un même nœud de communication, les techniques MIMO (Multiple Input Multiple Output) coopératives permettent d'exploiter le gain de la diversité spatio-temporelle pour augmenter les performances ou réduire l'énergie consommée pour les communications. Dans cette thèse, des stratégies MIMO coopératives sont proposées pour les réseaux de capteurs sans fil (RCS), où la consommation d'énergie est la contrainte la plus importante. Leur avantage en termes de taux d'erreur et de consommation d'énergie sur les techniques mono-antenne (SISO), même multi-étapes, et sur les techniques de relais, est clairement mis en évidence. Une sélection du nombre d'antennes d'émission et de réception, optimale en termes d'efficacité énergétique, est également proposée en fonction des distances de transmission. Les inconvénients du MIMO coopératif, comme les imperfections de synchronisation à l'émission ou les bruits additifs en réception, qui affectent leurs performances dans les réseaux sans fil distribués, sont abordés. Deux nouvelles techniques de réception coopérative basées sur le principe de relais, ainsi qu'une nouvelle technique de combinaison spatio-temporelle sont proposées afin d'augmenter l'efficacité énergique de ces systèmes MIMO coopératifs. Enfin, des comparaisons de performance et de consommation d'énergie entre les techniques MIMO coopératives et de relais montrent que leur utilisation dépend beaucoup de la topologie du réseau et de l'application. Une stratégie d'association est proposée pour exploiter simultanément les avantages des deux techniques de coopération
Libri sul tema "Energy-Constrained":
Law, Tim. The Future of Thermal Comfort in an Energy- Constrained World. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00149-4.
United States. Congress. House. Committee on Science. Subcommittee on Energy and Environment. Funding Department of Energy research and development in a constrained budget environment: Hearing before the Subcommittee on Energy and Environment of the Committee on Science, U.S. House of Representatives, One Hundred Fourth Congress, second session, August 1, 1996. Washington: U.S. G.P.O., 1997.
Centre, African Climate Policy. Fossil fuels in Africa in the context of a carbon constrained future. Addis Ababa, Ethiopia: United Nations, Economic Commission for Africa, African Climate Policy Centre, 2011.
Du, Hongtao. Energy-constrained Microsensor Platform- Platform. VDM Verlag Dr. Mueller e.K., 2007.
Law, Tim. Future of Thermal Comfort in an Energy- Constrained World. Springer London, Limited, 2013.
Law, Tim. The Future of Thermal Comfort in an Energy- Constrained World. Springer, 2015.
Flat, Victor Byers, Alfonso López De la Osa Escribano e Aubin Nzaou-Kongo. Energy Law and Policy in a Climate-Constrained World. Westphalia Press, 2022.
Flat, Victor Byers, Alfonso López De la Osa Escribano e Aubin Nzaou-Kongo. Energy Law and Policy in a Climate-Constrained World. Westphalia Press, 2022.
Ahmed, Irfan. Cooperative communications for energy constrained wireless networks: Energy efficient communication in sensor networks. LAP Lambert Academic Publishing, 2011.
Moriarty, Patrick, e Damon Honnery. Switching Off: Meeting Our Energy Needs in a Constrained Future. Springer Singapore Pte. Limited, 2022.
Capitoli di libri sul tema "Energy-Constrained":
Papa, Rafael, Ionut Cardei e Mihaela Cardei. "Energy-Constrained Drone Delivery Scheduling". In Combinatorial Optimization and Applications, 125–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64843-5_9.
Wang, Weixun, Prabhat Mishra e Sanjay Ranka. "Temperature- and Energy-Constrained Scheduling". In Dynamic Reconfiguration in Real-Time Systems, 165–92. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0278-7_7.
Lan, Huan. "Energy-Constrained Geometric Coverage Problem". In Algorithmic Aspects in Information and Management, 268–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16081-3_23.
Heeger, Derek, Maeve Garigan, Eirini Eleni Tsiropoulou e Jim Plusquellic. "Secure Energy Constrained LoRa Mesh Network". In Ad-Hoc, Mobile, and Wireless Networks, 228–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61746-2_17.
Bärtschi, Andreas, Jérémie Chalopin, Shantanu Das, Yann Disser, Barbara Geissmann, Daniel Graf, Arnaud Labourel e Matúš Mihalák. "Collaborative Delivery with Energy-Constrained Mobile Robots". In Structural Information and Communication Complexity, 258–74. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48314-6_17.
Chalopin, Jérémie, Shantanu Das, Matúš Mihal’ák, Paolo Penna e Peter Widmayer. "Data Delivery by Energy-Constrained Mobile Agents". In Algorithms for Sensor Systems, 111–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45346-5_9.
Das, Shantanu, Dariusz Dereniowski e Christina Karousatou. "Collaborative Exploration by Energy-Constrained Mobile Robots". In Structural Information and Communication Complexity, 357–69. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25258-2_25.
Chen, Juan, Yong Dong, Hui-zhan Yi e Xue-jun Yang. "Energy-Constrained Prefetching Optimization in Embedded Applications". In Embedded and Ubiquitous Computing – EUC 2005, 267–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596356_29.
Bärtschi, Andreas, Evangelos Bampas, Jérémie Chalopin, Shantanu Das, Christina Karousatou e Matúš Mihalák. "Near-Gathering of Energy-Constrained Mobile Agents". In Structural Information and Communication Complexity, 52–65. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24922-9_4.
Hasler, Jennifer. "Embedded Classifiers for Energy-Constrained IoT Network Security". In Cyber-Physical Systems Security, 285–301. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98935-8_14.
Atti di convegni sul tema "Energy-Constrained":
Philips, Scott, Visar Berisha e Andreas Spanias. "Energy-constrained discriminant analysis". In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960325.
Kerrache, Said, e Yasushi Nakauchi. "Computing constrained energy-minimizing flows". In 2011 3rd International Conference on Computer Research and Development (ICCRD). IEEE, 2011. http://dx.doi.org/10.1109/iccrd.2011.5764149.
Daniel, Jeremie, Abderazik Birouche, Jean-Philippe Lauffenburger e Michel Basset. "Energy constrained trajectory generation for ADAS". In 2010 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2010. http://dx.doi.org/10.1109/ivs.2010.5548110.
Tsiogkas, Nikolaos, Valerio De Carolis e David M. Lane. "Energy-constrained informative routing for AUVs". In OCEANS 2016 - Shanghai. IEEE, 2016. http://dx.doi.org/10.1109/oceansap.2016.7485386.
Tchamkerten, Aslan, Venkat Chandar e Giuseppe Caire. "Energy and sampling constrained asynchronous communication". In 2013 IEEE International Symposium on Information Theory (ISIT). IEEE, 2013. http://dx.doi.org/10.1109/isit.2013.6620680.
Wang, Jianwei, Chein-I. Chang e Mang Cao. "FPGA design for constrained energy minimization". In Optical Technologies for Industrial, Environmental, and Biological Sensing, a cura di James O. Jensen e Jean-Marc Theriault. SPIE, 2004. http://dx.doi.org/10.1117/12.518559.
Chen, Juan, Yong Dong, Xuejun Yang e Panfeng Wang. "Energy-Constrained OpenMP Static Loop Scheduling". In 2008 10th IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE, 2008. http://dx.doi.org/10.1109/hpcc.2008.132.
Manolakis, Dimitris G., e Gary A. Shaw. "Directionally constrained or constrained energy minimization adaptive matched filter: theory and practice". In International Symposium on Optical Science and Technology, a cura di Michael R. Descour e Sylvia S. Shen. SPIE, 2002. http://dx.doi.org/10.1117/12.453327.
Hongna Chang, Xinbo Gao, Ru Zong, Chen Chen e Jie Cao. "Energy-efficient coding-aware routing in energy-constrained wireless networks". In 2010 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010). IEEE, 2010. http://dx.doi.org/10.1109/ispacs.2010.5704606.
Tandon, Anshoo, Mehul Motani e Lav R. Varshney. "Subblock energy-constrained codes for simultaneous energy and information transfer". In 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541643.
Rapporti di organizzazioni sul tema "Energy-Constrained":
Dayton, David C., Brian G. Southwell e Vikram Rao. Diversifying Energy Options in a Carbon-Constrained World. RTI Press, ottobre 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0029.2110.
Todd D. Plantenga. Fast Energy Minimization of large Polymers Using Constrained Optimization. Office of Scientific and Technical Information (OSTI), ottobre 1998. http://dx.doi.org/10.2172/5964.
Hale, Elaine, Brady Cowiestoll, Jennie Jorgenson, Trieu Mai e Dylan Hettinger. Methods for Representing Flexible, Energy-Constrained Technologies in Utility Planning Tools. Office of Scientific and Technical Information (OSTI), aprile 2021. http://dx.doi.org/10.2172/1777393.
Razavi, Alireza, e Zhi-Quan Luo. Distributed Optimization in an Energy-Constrained Network Using a Digital Communication Scheme. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2009. http://dx.doi.org/10.21236/ada500118.
Felmy, A. R. GMIN: A computerized chemical equilibrium model using a constrained minimization of the Gibbs free energy. Office of Scientific and Technical Information (OSTI), aprile 1990. http://dx.doi.org/10.2172/6950668.
Dravid, Vinayak P. Statics and Dynamics of Dimensionally and Spatially Constrained Oxides. Summary Progress Report Submitted to Department of Energy Basic Energy Science Division. Division of Materials Science & Engineering. Office of Scientific and Technical Information (OSTI), luglio 2010. http://dx.doi.org/10.2172/1092761.
Chapman e Figge. PR-266-07206-R01 Field Test of a Turbocharger Booster System. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), maggio 2009. http://dx.doi.org/10.55274/r0010769.
Muelaner, Jody. Unsettled Issues Regarding Power Options for Decarbonized Commercial Vehicles. SAE International, settembre 2021. http://dx.doi.org/10.4271/epr2021021.
Ahairwe, Pamella Eunice. The EIB Group Climate Bank Roadmap 2021-2025: What does it mean for developing countries? European Centre for Development Policy Management, settembre 2021. http://dx.doi.org/10.55317/casc013.
Ferguson, Thomas, e Servaas Storm. Myth and Reality in the Great Inflation Debate: Supply Shocks and Wealth Effects in a Multipolar World Economy. Institute for New Economic Thinking Working Paper Series, gennaio 2023. http://dx.doi.org/10.36687/inetwp196.