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Artículos de revistas sobre el tema "Energy-Constrained"

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Publicado: 12 de marzo de 2024

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1

Shuguang Cui, A. J. Goldsmith y A. Bahai. "Energy-constrained modulation optimization". IEEE Transactions on Wireless Communications 4, n.º 5 (septiembre de 2005): 2349–60. http://dx.doi.org/10.1109/twc.2005.853882.

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2

Chessa, Alessandro, Enzo Marinari y Alessandro Vespignani. "Energy constrained sandpile models". Computer Physics Communications 121-122 (septiembre de 1999): 622. http://dx.doi.org/10.1016/s0010-4655(06)70029-7.

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3

Koukkari, Pertti, Risto Pajarre y Klaus Hack. "Constrained Gibbs energy minimisation". International Journal of Materials Research 98, n.º 10 (octubre de 2007): 926–34. http://dx.doi.org/10.3139/146.101550.

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4

Chessa, Alessandro, Enzo Marinari y Alessandro Vespignani. "Energy Constrained Sandpile Models". Physical Review Letters 80, n.º 19 (11 de mayo de 1998): 4217–20. http://dx.doi.org/10.1103/physrevlett.80.4217.

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5

CHEN, Juan. "Energy-Constrained Software Prefetching Optimization". Journal of Software 17, n.º 7 (2006): 1650. http://dx.doi.org/10.1360/jos171650.

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6

Wojtowytsch, Stephan. "Helfrich’s energy and constrained minimisation". Communications in Mathematical Sciences 15, n.º 8 (2017): 2373–86. http://dx.doi.org/10.4310/cms.2017.v15.n8.a10.

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7

Johnson, Steven. "Constrained energy minimization and the target-constrained interference-minimized filter". Optical Engineering 42, n.º 6 (1 de junio de 2003): 1850. http://dx.doi.org/10.1117/1.1571062.

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8

Christen, Markus, Clara D. Christ y Wilfred F. van Gunsteren. "Free Energy Calculations Using Flexible-Constrained, Hard-Constrained and Non-Constrained Molecular Dynamics Simulations". ChemPhysChem 8, n.º 10 (16 de julio de 2007): 1557–64. http://dx.doi.org/10.1002/cphc.200700176.

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9

Wang, Qian, Kriti Sen Sharma y Hengyong Yu. "Geometry and energy constrained projection extension". Journal of X-Ray Science and Technology 26, n.º 5 (20 de septiembre de 2018): 757–75. http://dx.doi.org/10.3233/xst-18383.

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10

Washburn, Alan. "Energy‐constrained pursuit in a fluid". Naval Research Logistics (NRL) 41, n.º 7 (diciembre de 1994): 935–43. http://dx.doi.org/10.1002/1520-6750(199412)41:7<935::aid-nav3220410706>3.0.co;2-#.

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11

ZHENG, Feng. "Ad Hoc energy constrained routing protocol". Journal of Computer Applications 28, n.º 5 (17 de octubre de 2008): 1104–6. http://dx.doi.org/10.3724/sp.j.1087.2008.01104.

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12

Lee, Jui-Yuan y Han-Fu Lin. "Multi-Footprint Constrained Energy Sector Planning". Energies 12, n.º 12 (18 de junio de 2019): 2329. http://dx.doi.org/10.3390/en12122329.

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Fossil fuels have been heavily exploited since the Industrial Revolution. The resulting carbon emissions are widely regarded as being the main cause of global warming and climate change. Key mitigation technologies for reducing carbon emissions include carbon capture and storage (CCS) and renewables. According to recent analysis of the International Energy Agency, renewables and CCS will contribute more than 50% of the cumulative emissions reductions by 2050. This paper presents a new mathematical programming model for multi-footprint energy sector planning with CCS and renewables deployment. The model is generic and considers a variety of carbon capture (CC) options for the retrofit of individual thermal power generation units. For comprehensive planning, the Integrated Environmental Control Model is employed in this work to assess the performance and costs of different types of power generation units before and after CC retrofits. A case study of Taiwan’s energy sector is presented to demonstrate the use of the proposed model for complex decision-making and cost trade-offs in the deployment of CC technologies and additional low-carbon energy sources. Different scenarios are analysed, and the results are compared to identify the optimal strategy for the energy mix to satisfy the electricity demand and the various planning constraints.
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13

Liu, Jingyu, Yongzhen Huang, Junran Peng, Jun Yao y Liang Wang. "Fast Object Detection at Constrained Energy". IEEE Transactions on Emerging Topics in Computing 6, n.º 3 (1 de julio de 2018): 409–16. http://dx.doi.org/10.1109/tetc.2016.2577538.

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14

Ramanarayanan, Ganesh y Kavita Bala. "Constrained Texture Synthesis via Energy Minimization". IEEE Transactions on Visualization and Computer Graphics 13, n.º 1 (enero de 2007): 167–78. http://dx.doi.org/10.1109/tvcg.2007.4.

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15

Prabhu, B. Sabarinatha, C. Gomathi y N. Santhiyakumari. "Design Of Energy Constrained Turbo Architecture". i-manager's Journal on Electronics Engineering 4, n.º 2 (15 de febrero de 2014): 8–13. http://dx.doi.org/10.26634/jele.4.2.2620.

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16

Tchamkerten, Aslan, Venkat Chandar y Giuseppe Caire. "Energy and Sampling Constrained Asynchronous Communication". IEEE Transactions on Information Theory 60, n.º 12 (diciembre de 2014): 7686–97. http://dx.doi.org/10.1109/tit.2014.2360017.

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17

Negrete-Pincetic, Matias, Ashutosh Nayyar, Kameshwar Poolla, Florian Salah y Pravin Varaiya. "Rate-Constrained Energy Services in Electricity". IEEE Transactions on Smart Grid 9, n.º 4 (julio de 2018): 2894–907. http://dx.doi.org/10.1109/tsg.2016.2623275.

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18

Durresi, Arjan y Vamsi Paruchuri. "Broadcast Protocol for Energy-Constrained Networks". IEEE Transactions on Broadcasting 53, n.º 1 (marzo de 2007): 112–19. http://dx.doi.org/10.1109/tbc.2006.886834.

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19

Nel, Willem P. y Gerhardus van Zyl. "Defining limits: Energy constrained economic growth". Applied Energy 87, n.º 1 (enero de 2010): 168–77. http://dx.doi.org/10.1016/j.apenergy.2009.06.003.

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20

Zorii, Natalia. "Constrained Energy Problems with External Fields". Complex Analysis and Operator Theory 5, n.º 3 (22 de abril de 2010): 775–85. http://dx.doi.org/10.1007/s11785-010-0070-9.

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21

Li, Keqin. "Energy constrained scheduling of stochastic tasks". Journal of Supercomputing 74, n.º 1 (6 de septiembre de 2017): 485–508. http://dx.doi.org/10.1007/s11227-017-2137-0.

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22

Levy, Yaakov y Oren M. Becker. "Energy landscapes of conformationally constrained peptides". Journal of Chemical Physics 114, n.º 2 (2001): 993. http://dx.doi.org/10.1063/1.1329646.

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23

Sprik, Michiel y Giovanni Ciccotti. "Free energy from constrained molecular dynamics". Journal of Chemical Physics 109, n.º 18 (8 de noviembre de 1998): 7737–44. http://dx.doi.org/10.1063/1.477419.

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24

Rapallo, Arnaldo. "Potential energy constrained molecular dynamics simulations". Journal of Chemical Physics 121, n.º 9 (septiembre de 2004): 4033–42. http://dx.doi.org/10.1063/1.1776117.

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25

Calvete, Herminia I., Lourdes del-Pozo y José A. Iranzo. "The energy-constrained quickest path problem". Optimization Letters 11, n.º 7 (8 de septiembre de 2016): 1319–39. http://dx.doi.org/10.1007/s11590-016-1073-x.

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26

Zhang, Tao, Provin Gurung, Eric van den Berg, Sunil Madhani y Anish Muttreja. "Silent networking for energy-constrained nodes". Computer Communications 29, n.º 17 (noviembre de 2006): 3445–54. http://dx.doi.org/10.1016/j.comcom.2006.01.038.

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27

Farokhi, Hamed y Mergen H. Ghayesh. "A constrained broadband nonlinear energy harvester". Energy Conversion and Management 197 (octubre de 2019): 111828. http://dx.doi.org/10.1016/j.enconman.2019.111828.

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28

Como, Giacomo, Fabio Fagnani y Leonardo Massai. "Equilibria in Network Constrained Energy Markets". IFAC-PapersOnLine 56, n.º 2 (2023): 4168–72. http://dx.doi.org/10.1016/j.ifacol.2023.10.1760.

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29

Spera, Frank J. y Wendy A. Bohrson. "Energy-constrained open-system magmatic processes 3. Energy-Constrained Recharge, Assimilation, and Fractional Crystallization (EC-RAFC)". Geochemistry, Geophysics, Geosystems 3, n.º 12 (diciembre de 2002): 1–20. http://dx.doi.org/10.1029/2002gc000315.

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30

Vretenar, D. "Nuclear energy density functionals constrained by low-energy QCD". European Physical Journal Special Topics 156, n.º 1 (abril de 2008): 37–67. http://dx.doi.org/10.1140/epjst/e2008-00608-0.

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31

Vretenar, D. "Nuclear energy density functionals constrained by low-energy QCD". HNPS Proceedings 15 (1 de enero de 2020): 39. http://dx.doi.org/10.12681/hnps.2618.

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Relativistic nuclear energy density functionals are formulated and developed, guided by two important features that establish connections with chiral dynamics and the sym- metry breaking pattern of low-energy QCD: a) strong scalar and vector fields related to in-medium changes of QCD vacuum condensates; b) the long- and intermediate-range interactions generated by one-and two-pion exchange, derived from in-medium chiral per- turbation theory.
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32

Nguyen, Tuan Thanh, Kui Cai y Kees A. Schouhamer Immink. "Efficient Design of Subblock Energy-Constrained Codes and Sliding Window-Constrained Codes". IEEE Transactions on Information Theory 67, n.º 12 (diciembre de 2021): 7914–24. http://dx.doi.org/10.1109/tit.2021.3119568.

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33

Coroian, Dan I. y Peter Dragnev. "Constrained Leja points and the numerical solution of the constrained energy problem". Journal of Computational and Applied Mathematics 131, n.º 1-2 (junio de 2001): 427–44. http://dx.doi.org/10.1016/s0377-0427(00)00258-2.

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34

Finelli, P., N. Kaiser, D. Vretenar y W. Weise. "Relativistic nuclear energy density functional constrained by low-energy QCD". Nuclear Physics A 770, n.º 1-2 (mayo de 2006): 1–31. http://dx.doi.org/10.1016/j.nuclphysa.2006.02.007.

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35

Ji, Xiaopeng, Cunlai Pu y Jie Li. "Energy-constrained transmission on hybrid communication networks". International Journal of Modern Physics C 29, n.º 11 (noviembre de 2018): 1850114. http://dx.doi.org/10.1142/s0129183118501140.

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The real communication systems usually consist of different types of agents, e.g. computers, routers, base stations and mobile phones, forming various hybrid communication networks. Furthermore, in many cases, those agents are energy-constrained resulting in a limited lifetime of the communication networks. We proposed a hybrid communication network model composed of energy-constrained base stations and mobile users, and further gave a novel energy-aware gateway selection strategy to balance the energy consumption of base stations. We developed a new metric of nodes, called node forwarding strength, which measures the intrinsic forwarding capability of nodes and is basically dependent on the network structure and routing protocol. Based on this metric, we further derived the critical packet generation rate of traffic congestion, average number of transmission hops, and network lifetime. By investigating the influence of factors on the network lifetime, we obtained the optimal user moving speed and gateway selection parameter corresponding to the maximum network lifetime. Our work may provide some clues for the designing and optimization of real hybrid communication systems.
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36

Hubbard, M. y J. C. Trinkle. "Clearing Maximum Height With Constrained Kinetic Energy". Journal of Applied Mechanics 52, n.º 1 (1 de marzo de 1985): 179–84. http://dx.doi.org/10.1115/1.3168991.

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This paper addresses the question: In order to clear a given height, defined as that which is passed over by all points in the moving body, what is the minimum initial kinetic energy required and what are the other conditions that specify the solution completely? An expression is derived for the height cleared above an original supporting ground plane. This transcendental expression is maximized numerically subject to certain equality and inequality constraints using nonlinear constrained optimization techniques. The optimal solution includes the height cleared and the required control variables. The parameter space of body descriptors in which the optimal solution is presented decomposes into two regions in which the solutions differ qualitatively.
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37

RUTENFRANZ, J. "Energy expenditure constrained by sex and age". Ergonomics 28, n.º 1 (enero de 1985): 115–18. http://dx.doi.org/10.1080/00140138508963120.

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38

Hwang, Won-Joo, Reizel Casaquite, Bazarragchaa Barsbold y Rentsen Enkhbat. "Optimization decomposition in energy-constrained wireless networks". Optimization 58, n.º 7 (octubre de 2009): 845–59. http://dx.doi.org/10.1080/02331930902944952.

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39

Ghosh, S. K. y V. A. Singh. "Energy theorems in constrained density-functional theory". Journal of Physics: Condensed Matter 1, n.º 11 (20 de marzo de 1989): 1971–81. http://dx.doi.org/10.1088/0953-8984/1/11/004.

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40

Brown, B. Alex, Angelo Signoracci y Morten Hjorth-Jensen. "Configuration interactions constrained by energy density functionals". Journal of Physics: Conference Series 267 (1 de enero de 2011): 012028. http://dx.doi.org/10.1088/1742-6596/267/1/012028.

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41

Zorzi, M. y R. R. Rao. "Energy-constrained error control for wireless channels". IEEE Personal Communications 4, n.º 6 (1997): 27–33. http://dx.doi.org/10.1109/98.637380.

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42

Gebregiorgis, Anteneh y Mehdi B. Tahoori. "Fine-Grained Energy-Constrained Microprocessor Pipeline Design". IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26, n.º 3 (marzo de 2018): 457–69. http://dx.doi.org/10.1109/tvlsi.2017.2767543.

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43

Brown, B. Alex, Angelo Signoracci y Morten Hjorth-Jensen. "Configuration interactions constrained by energy density functionals". Physics Letters B 695, n.º 5 (enero de 2011): 507–11. http://dx.doi.org/10.1016/j.physletb.2010.11.062.

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44

Bärtschi, Andreas, Jérémie Chalopin, Shantanu Das, Yann Disser, Barbara Geissmann, Daniel Graf, Arnaud Labourel y Matúš Mihalák. "Collaborative delivery with energy-constrained mobile robots". Theoretical Computer Science 810 (marzo de 2020): 2–14. http://dx.doi.org/10.1016/j.tcs.2017.04.018.

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45

Koukkari, Pertti, Risto Pajarre y Petteri Kangas. "Thermodynamic affinity in constrained free-energy systems". Monatshefte für Chemie - Chemical Monthly 149, n.º 2 (11 de diciembre de 2017): 381–94. http://dx.doi.org/10.1007/s00706-017-2095-5.

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46

Yao, K. "Maximum energy window with constrained spectral values". Signal Processing 11, n.º 2 (septiembre de 1986): 157–68. http://dx.doi.org/10.1016/0165-1684(86)90034-4.

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47

Bärtschi, Andreas, Evangelos Bampas, Jérémie Chalopin, Shantanu Das, Christina Karousatou y Matúš Mihalák. "Near-gathering of energy-constrained mobile agents". Theoretical Computer Science 849 (enero de 2021): 35–46. http://dx.doi.org/10.1016/j.tcs.2020.10.008.

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48

Kamimura, Ryotaro. "Constrained information maximization by free energy minimization". International Journal of General Systems 40, n.º 7 (octubre de 2011): 701–25. http://dx.doi.org/10.1080/03081079.2010.549486.

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49

Sadler, B. M. "Fundamentals of energy-constrained sensor network systems". IEEE Aerospace and Electronic Systems Magazine 20, n.º 8 (agosto de 2005): 17–35. http://dx.doi.org/10.1109/maes.2005.1499273.

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50

Lim, Teng Joon, Yu Gong y B. Farhang-Boroujeny. "Constrained surplus energy adaptive blind CDMA detection". Electronics Letters 36, n.º 25 (2000): 2098. http://dx.doi.org/10.1049/el:20001471.

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