Academic literature on the topic 'Load-matching'
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Journal articles on the topic "Load-matching"
Anderson, J. Gerard. "Load Matching Mistake." Physics Teacher 25, no. 9 (December 1987): 546. http://dx.doi.org/10.1119/1.2342372.
Full textSavichev, V. I., and R. Blümel. "Quantum load-matching." Europhysics Letters (EPL) 61, no. 1 (January 2003): 1–7. http://dx.doi.org/10.1209/epl/i2003-00260-6.
Full textIbrahim, Omar Elsammani. "Load matching to photovoltaic generators." Renewable Energy 6, no. 1 (February 1995): 29–34. http://dx.doi.org/10.1016/0960-1481(94)00060-j.
Full textEmamizadeh, B., and Kenneth Knott. "Matching unit load and inventory systems." Computers & Industrial Engineering 11, no. 1-4 (January 1986): 105–8. http://dx.doi.org/10.1016/0360-8352(86)90058-6.
Full textXu, Zhaohong, Tiansheng Lü, and Xuyang Wang. "Inertia Matching Manipulability and Load Matching Optimization for Humanoid Jumping Robot." International Journal of Advanced Robotic Systems 9, no. 1 (January 1, 2012): 21. http://dx.doi.org/10.5772/50916.
Full textSavenkov, G. G., V. P. Razinkin, and A. D. Mekhtiev. "MULTISTAGE MICROSTRIP UHF LOAD." Issues of radio electronics, no. 4 (April 20, 2018): 53–57. http://dx.doi.org/10.21778/2218-5453-2018-4-53-57.
Full textLiu, Yongqian, Yanhui Qiao, Shuang Han, Yanping Xu, Tianxiang Geng, and Tiandong Ma. "Quantitative Evaluation Methods of Cluster Wind Power Output Volatility and Source-Load Timing Matching in Regional Power Grid." Energies 14, no. 16 (August 23, 2021): 5214. http://dx.doi.org/10.3390/en14165214.
Full textAbe, Hideaki, Hiroshi Sakamoto, and Koosuke Harada. "Load Matching for Non-Contact Charging System." IEEJ Transactions on Industry Applications 119, no. 4 (1999): 536–43. http://dx.doi.org/10.1541/ieejias.119.536.
Full textNabona, Narcis. "Medium-term load matching in power planning." IEEE Transactions on Power Systems 28, no. 2 (May 2013): 1073–82. http://dx.doi.org/10.1109/tpwrs.2012.2220788.
Full textXiong, Ronglong, Fanmeng Kong, Xuehong Yang, Guangyuan Liu, and Wanhui Wen. "Pattern Recognition of Cognitive Load Using EEG and ECG Signals." Sensors 20, no. 18 (September 8, 2020): 5122. http://dx.doi.org/10.3390/s20185122.
Full textDissertations / Theses on the topic "Load-matching"
Welton, Sean P. "Load Modulation Through Varactor Tunable Matching Networks." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306865537.
Full textKim, Jaeseok. "Automated matching control system using load estimation and microwave characterization." [Gainesville, Fla.] : University of Florida, 2008. http://purl.fcla.edu/fcla/etd/UFE0022883.
Full textSriramagiri, Gowri Manasa. "Solar Electrolyzer Coupling via Load-Matching and Doping in Cadmium Telluride Solar Cells to Overcome Voltage Limitations." Thesis, University of Delaware, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13428221.
Full textThis dissertation comprises two distinct topics concerning photovoltaics: studying solar electrolyzer performance with a practical consideration of their design and operation, and extrinsic p-type doping in thin-film CdTe solar cells using Sb for improved voltage output.
Solar fuel generation via water and CO2 reduction using photovoltaics has witnessed considerable growth since the identification of photocatalysis four decades ago. Numerous photovoltaic-driven electrochemical cells (PV-ECs) and photoelectrochemical cells (PECs) with efficiencies reaching 30% for H 2O reduction and 10% for CO2 reduction have been reported. We will discuss the many benefits of a PV-EC system over the PEC approach. This dissertation discusses the implementation of a high-efficiency PV-EC using silicon solar cells and a flow-cell CO2 electrolyzer (in collaboration with Prof. Feng Jiao group from UDel’s Center for Catalytic Science and Technology). With 25 cm² electrode area, this is the largest CO2 electrolysis device yet reported that exhibited > 6.5% efficiency at operating currents in excess of 1A. The development of a model to optimize the coupling of such devices and to simulate annual field performance will be presented. Improvement in fuel generation by > 20% is demonstrated by employing power electronic devices to continuously optimize the PV-EC operating point for maximum power coupling despite variable sunlight and temperature.
Polycrystalline thin-film CdTe/CdS heterojunction solar cells are the leading commercial competitor to c-Si solar modules. While having demonstrated good performance at low cost and large scale, the potential to exceed 25% efficiency by enhancing open circuit voltage (Voc), from present ~0.9V to the near-ideal 1.1 V, is possible with carrier concentrations exceeding 5 × 1016 cm–3 while retaining bulk minority carrier lifetime > 10 ns. State-of-the-art intrinsic CdTe solar cells, wherein n- or p-type doping is achieved through native point defect (V Cd) control during film growth, are limited to acceptor concentration levels of < 1015 cm–3. Bridging the Voc gap through extrinsic doping of polycrystalline CdTe films with Sb during film growth using vapor transport deposition technique is examined. Applying device characterization and analysis techniques to cells processed with different post-growth device treatments for dopant activation shows where optimization effort is needed. Admittance and current-voltage measurements indicate that despite significant improvement in acceptor density (up to 3 × 10 15 cm–3), Voc is limited to < 600 mV due to increased defect density and thus reduced minority carrier lifetime.
Yang, Chun-Ju. "The Design Methodology and Optimization of Varactors Based Tunable Matching Network for Power Amplifiers with Load Adaptation Technique." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308320281.
Full textARAÚJO, Tiago Brasileiro. "Uma abordagem em paralelo para matching de grandes ontologias com balanceamento de carga." Universidade Federal de Campina Grande, 2016. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1316.
Full textMade available in DSpace on 2018-08-01T19:28:54Z (GMT). No. of bitstreams: 1 TIAGO BRASILEIRO ARAÚJO - DISSERTAÇÃO PPGCC 2016..pdf: 18742851 bytes, checksum: 92b3eefe5e78ab27784255e850871df9 (MD5) Previous issue date: 2016-03-07
Atualmente, o uso de grandes ontologias em diversos domínios do conhecimento está aumentando. Uma vez que estas ontologias podem apresentar sobreposição de conteúdo, a identificação de correspondências entre seus conceitos se torna necessária. Esse processo é chamado de Matching de Ontologias (MO). Um dos maiores desafios do matching de grandes ontologias é o elevado tempo de execução e o excessivo consumo de recursos de computacionais. Assim, para melhorar a eficiência, técnicas de particionamento de ontologias e paralelismo podem ser empregadas no processo de MO. Este trabalho apresenta uma abordagem para o Matching de Ontologias baseado em Particionamento e Paralelismo (MOPP) que particiona as ontologias de entrada em subontologias e executa as comparações entre conceitos em paralelo, usando o framework MapReduce como solução programável. Embora as técnicas de paralelização possam melhorar a eficiência do processo de MO, essas técnicas apresentam problemas referentes ao desbalanceamento de carga. Por essa razão, o presente trabalho propõe ainda duas técnicas para balanceamento de carga (básica e refinada) para serem aplicadas junto à abordagem MOPP, a fim de orientar a distribuição uniforme das comparações (carga de trabalho) entre os nós de uma infraestrutura computacional. O desempenho da abordagem proposta é avaliado em diferentes cenários (diferentes tamanhos de ontologias e graus de desbalanceamento de carga) utilizando uma infraestrutura computacional e ontologias reais e sintéticas. Os resultados experimentais indicam que a abordagem MOPP é escalável e capaz de reduzir o tempo de execução do processo de MO. No que diz respeito às técnicas de balanceamento de carga, os resultados obtidos mostram que a abordagem MOPP é robusta, mesmo em cenários com elevado grau de desbalanceamento de carga, com a utilização da técnica refinada de balanceamento de carga.
Currently, the use of large ontologies in various áreas of knowledge is increasing. Since, these ontologies can present contents overlap, the identification of correspondences among their concepts is necessary. This process is called Ontologies Matching (OM). One of the major challenges of the large ontologies matching is the high execution time and the computational resources consumption. Therefore, to get the efficiency better, partition and parallel techniques can be employed in the MO process. This work presents a Partition-Parallelbased Ontology Matching (PPOM) approach which partitions the input ontologies in subontologies and executes the comparisons between concepts in parallel, using the framework MapReduce as a programmable solution. Although the parallel techniques can get the MO efficiency process better, these techniques present problems concerning to the load imbalancing. For that reason, our work has proposed two techniques to the load balancing - the basic and the fine-grained one - which are supposed to be applied together with the PPOM approach, in order to orientate the uniform distribution of the comparisons (workload) between the nodes of a computing infrastructure. The performance of the proposed approach is assessed in different settings (different sizes of ontologies and degrees of load imbalancing) using a computing infrastructure and real and synthetic ontologies. The experimental results have indicated that the PPOM approach is scalable and able to reduce the OM process execution time. Referring to the load balancing techniques, the obtained results have shown that the PPOM approach is robust, even in settings with a high load imbalancing, with the fine-grained load balancing technique.
Danilovic, Milisav. "Active Source Management to Maintain High Efficiency in Resonant Conversion over Wide Load Range." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/76618.
Full textPh. D.
Alam, Mohammad Saad. "Real-time maximum power tracking and robust load matching of a stand-alone photovoltaic system a dissertation presented to the faculty of the Graduate School, Tennessee Technological University /." Click to access online, 2009. http://proquest.umi.com/pqdweb?index=0&did=1756844361&SrchMode=1&sid=2&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1280170042&clientId=28564.
Full textAcimovic, Igor. "Contributions to the Design of RF Power Amplifiers." Thesis, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24406.
Full textSmith, Nathanael J. "Novel Closed-Loop Matching Network Topology for Reconfigurable Antenna Applications." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1387733249.
Full textAmrhein, Andrew Aloysius. "Induction Heating of Aluminum Cookware." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/77400.
Full textMaster of Science
Books on the topic "Load-matching"
Analysis of Lincoln Center experimental data for investigation of photovoltaic peak load matching potential: Report to the New York Power Authority. [Albany, N.Y.?]: Atmospheric Sciences Research Center, SUNY at Albany, 1988.
Find full textZinn, S., and S. L. Semiatin. Elements of Induction Heating. ASM International, 1988. http://dx.doi.org/10.31399/asm.tb.eihdca.9781627083416.
Full textBook chapters on the topic "Load-matching"
Maurath, Dominic, and Yiannos Manoli. "Load Matching Detector." In CMOS Circuits for Electromagnetic Vibration Transducers, 199–214. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9272-1_7.
Full textCandanedo, José, Jaume Salom, Joakim Widén, and Andreas Athienitis. "Load matching, grid interaction, and advanced control." In Modeling, Design, and Optimization of Net-Zero Energy Buildings, 207–40. Berlin, Germany: Wilhelm Ernst & Sohn, 2015. http://dx.doi.org/10.1002/9783433604625.ch06.
Full textAsanoi, Hidetsugu, Tomoki Kameyama, and Shinju Ishizaka. "Ventriculo-Arterial Load Matching of Failing Hearts." In Developments in Cardiovascular Medicine, 157–69. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2021-4_13.
Full textAppelbaum, J. "The Degree of Load-Matching in Photovoltaic Systems." In Seventh E.C. Photovoltaic Solar Energy Conference, 172–76. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3817-5_31.
Full textNamvar, Nima, and Behrouz Maham. "Matching Game for Load Distribution in Multi-tier Cellular Networks." In Encyclopedia of Wireless Networks, 789–95. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_38.
Full textNamvar, Nima, and Behrouz Maham. "Matching Game for Load Distribution in Multi-tier Cellular Networks." In Encyclopedia of Wireless Networks, 1–7. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_38-1.
Full textZhou, Tiehua, Jiayu Hao, Futao Ma, and Ling Wang. "Dynamic Multiple Indicators Matching Processing for Power Load Forecasting System." In Lecture Notes in Electrical Engineering, 114–24. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8430-2_11.
Full textSangar, Disha, Ramesh Upreti, Hårek Haugerud, Kyrre Begnum, and Anis Yazidi. "Stable Marriage Matching for Homogenizing Load Distribution in Cloud Data Center." In Lecture Notes in Computer Science, 172–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62308-4_7.
Full textDohare, Upasana, and D. K. Lobiyal. "A Load-Aware Matching Game for Node Association in Wireless Ad-Hoc Networks." In Communications in Computer and Information Science, 247–59. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2035-4_22.
Full textKeller, Reto B. "Transmission Lines." In Design for Electromagnetic Compatibility--In a Nutshell, 65–94. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14186-7_7.
Full textConference papers on the topic "Load-matching"
Li, Dexin, Shang Wang, Chang Liu, Baoju Li, Tao Peng, and Yuhang Qiu. "Adaptive energy-load matching optimization method." In Fourth International Conference on Image, Video Processing, nd Artificial Intelligence (IVPAI 2021), edited by Yudong Zhang and Dora Zhang. SPIE, 2021. http://dx.doi.org/10.1117/12.2607263.
Full textShort, Walter, and Victor Diakov. "Renewable Energy Load Matching for Continental U.S." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63875.
Full textShi-Jaw Chen, Rung-Fang Chang, Huang-Ren Lai, and Chan-Nan Lu. "Distribution feeder bus load estimations by measurement matching." In 2010 IEEE Region 10 Conference (TENCON 2010). IEEE, 2010. http://dx.doi.org/10.1109/tencon.2010.5686116.
Full textMestre, Demetrio Gomes, and Carlos Eduardo Santos Pires. "Improving load balancing for MapReduce-based entity matching." In 2013 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2013. http://dx.doi.org/10.1109/iscc.2013.6755016.
Full textShi, Yufeng, and Yong Zhou. "Optimization Algorithm of Load Matching for Road Freight." In Inernational Conference of Logistics Engineering and Management 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412602.0046.
Full textYong Zhu and Yue Hu. "LtKademlia - Topology Matching and Load Balancing P2P Model." In International Conference on Cyberspace Technology (CCT 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.2136.
Full textZhang, Ke, and Bin Ju. "Load Matching Of Sectional Type Piezoelectric Cantilever Beam." In 2020 15th Symposium on Piezoelectrcity, Acoustic Waves and Device Applications (SPAWDA). IEEE, 2021. http://dx.doi.org/10.1109/spawda51471.2021.9445490.
Full textKlimov, Anton S., Kirill V. Rogozhin, Vyacheslav A. Ivanov, and Dmitriy S. Sidorenko. "Matching of a magnetron with a changing load." In 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2018. http://dx.doi.org/10.1109/eiconrus.2018.8317065.
Full textLi, Ran, Chenjun Sun, Yang Liu, Lilin Peng, and Ming Zeng. "Short-Term Bus Load Matching and Forecasting Model." In 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iccia-16.2016.23.
Full textZhang, Ying, and Yi Wang. "Optimization of Truck Load Matching Based on Grey Clustering." In 2009 International Conference on Information Engineering and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5363873.
Full textReports on the topic "Load-matching"
Author, Not Given. Solar resource-utility load matching assessment: NREL photovoltaic project summary. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10106417.
Full textKey, T. S., H. E. Sitzlar, and T. D. Geist. Fast Response, Load-Matching Hybrid Fuel Cell: Final Technical Progress Report. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/15003880.
Full textPerez, R., R. Seals, and R. Stewart. Solar resource: Utility load-matching assessment. Interim subcontract report, 20 September 1991--19 December 1993. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/10131235.
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