Academic literature on the topic 'Distributed estimate'
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Journal articles on the topic "Distributed estimate"
Chiun-Chieh, H. "Distributed task assignment using critical path estimate." Information Sciences 74, no. 3 (November 1993): 191–212. http://dx.doi.org/10.1016/0020-0255(93)90095-4.
Full textChong, Sang C., and Karla K. Evans. "Distributed versus focused attention (count vs estimate)." Wiley Interdisciplinary Reviews: Cognitive Science 2, no. 6 (December 23, 2010): 634–38. http://dx.doi.org/10.1002/wcs.136.
Full textZhang, Qiaoling, Zhe Chen, and Fuliang Yin. "Global Coherence Field and Distributed Particle Filter-Based Speaker Tracking in Distributed Microphone Networks." Journal of Computational Acoustics 23, no. 03 (June 25, 2015): 1550010. http://dx.doi.org/10.1142/s0218396x15500101.
Full textBerrahmoune, Larbi. "Stabilization and decay estimate for distributed bilinear systems." Systems & Control Letters 36, no. 3 (March 1999): 167–71. http://dx.doi.org/10.1016/s0167-6911(98)00065-6.
Full textLi, Wenling, Yingmin Jia, and Junping Du. "Distributed extended Kalman filter with nonlinear consensus estimate." Journal of the Franklin Institute 354, no. 17 (November 2017): 7983–95. http://dx.doi.org/10.1016/j.jfranklin.2017.09.033.
Full textBako, Sunday Samuel, Mohd Bakri Adam, and Anwar Fitrianto. "Impact of Dependence on Parameter Estimates of Autoregressive Process with Gumbel Distributed Innovation." MATEMATIKA 34, no. 2 (December 2, 2018): 365–80. http://dx.doi.org/10.11113/matematika.v34.n2.941.
Full textDuda, Zdzisław. "Hierarchical filtration for distributed linear multisensor systems." Archives of Control Sciences 22, no. 4 (December 1, 2012): 507–18. http://dx.doi.org/10.2478/v10170-011-0038-7.
Full textLee, Jongmin, Cihan Tepedelenlioglu, Andreas Spanias, and Gowtham Muniraju. "Distributed Quantiles Estimation of Sensor Network Measurements." International Journal of Smart Security Technologies 7, no. 2 (July 2020): 38–61. http://dx.doi.org/10.4018/ijsst.2020070103.
Full textdes Tombe, Bas, Bart Schilperoort, and Mark Bakker. "Estimation of Temperature and Associated Uncertainty from Fiber-Optic Raman-Spectrum Distributed Temperature Sensing." Sensors 20, no. 8 (April 15, 2020): 2235. http://dx.doi.org/10.3390/s20082235.
Full textOuzahra, M., A. Tsouli, and A. Boutoulout. "Stabilisation and polynomial decay estimate for distributed semilinear systems." International Journal of Control 85, no. 4 (April 2012): 451–56. http://dx.doi.org/10.1080/00207179.2012.656144.
Full textDissertations / Theses on the topic "Distributed estimate"
Carlson, Benjamin Richards. "Development of a Passive Surface Flux Meter to estimate spatially distributed nutrient mass fluxes." Thesis, University of Iowa, 2013. https://ir.uiowa.edu/etd/2452.
Full textWeideman, Craig Ivan. "Linking satellite and point micrometeorological data to estimate : distributed evapotranspiration modelling based on MODIS LAI, Penman-Monteith and functional convergence theory." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1012078.
Full textBordallo, Micó Alejandro. "Intention prediction for interactive navigation in distributed robotic systems." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28802.
Full textTesfa, Teklu K. "Distributed Hydrological Modeling Using Soil Depth Estimated from Landscape Variable Derived with Enhanced Terrain Analysis." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/616.
Full textFisher, James I. "The use of remote sensing and other system state estimates in the calibration of a distributed hydrological model." Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307699.
Full textHayakawa, Tomohiro. "Adaptation of a group to various environments through local interactions between individuals based on estimated global information." Kyoto University, 2020. http://hdl.handle.net/2433/259039.
Full textKyoto University (京都大学)
0048
新制・課程博士
博士(工学)
甲第22771号
工博第4770号
新制||工||1746(附属図書館)
京都大学大学院工学研究科機械理工学専攻
(主査)教授 松野 文俊, 教授 椹木 哲夫, 教授 泉田 啓
学位規則第4条第1項該当
Krishnan, Rajet. "Problems in distributed signal processing in wireless sensor networks." Thesis, Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1351.
Full textSILVA, Elson Natanael Moreira. "ESTIMAÇÃO PROBABILÍSTICA DO NÍVEL DE DISTORÇÃO HARMÔNICA TOTAL DE TENSÃO EM REDES DE DISTRIBUIÇÃO SECUNDÁRIAS COM GERAÇÃO DISTRIBUÍDA FOTOVOLTAICA." Universidade Federal do Maranhão, 2017. http://tedebc.ufma.br:8080/jspui/handle/tede/1296.
Full textMade available in DSpace on 2017-04-17T13:14:17Z (GMT). No. of bitstreams: 1 Elson Moreira.pdf: 7883984 bytes, checksum: cf59b3b0b24a249a7fd9e2390b7f16de (MD5) Previous issue date: 2017-02-10
CNPQ
A problem of electric power quality that always affects the consumers of the distribution network are the harmonic distortions. Harmonic distortions arise from the presence of socalled harmonic sources, which are nonlinear equipment, i.e., equipment in which the voltage waveform differs from the current. Such equipment injects harmonic currents in the network generating distortions in the voltage waveform. Nowadays, the number of these equipment in the electrical network has increased considerably. However, the increasing use of such equipment over the network makes systems more vulnerable and prone to quality problems in the supply of electricity to consumers. In addition, it is important to note that in the current scenario, the generation of electricity from renewable sources, connected in the secondary distribution network, is increasing rapidly. This is mainly due to shortage and high costs of fossil fuels. In this context, the Photovoltaic Distributed Generation (PVDG), that uses the sun as a primary source for electric energy generation, is the main technology of renewable generation installed in distribution network. However, the PVDG is a potential source of harmonics, because the interface of the PVDG with the CA network is carried out by a CC/CA inverter, that is a highly nonlinear equipment. Thus, the electrical power quality problems associated with harmonic distortion in distribution networks tend to increase and be very frequent. One of the main indicators of harmonic distortion is the total harmonic distortion of voltage ( ) used by distribution utilities to limit the levels of harmonic distortion present in the electrical network. In the literature there are several deterministic techniques to estimate . These techniques have the disadvantage of not considering the uncertainties present in the electric network, such as: change in the network configuration, load variation, intermittence of the power injected by renewable distributed generation. Therefore, in order to provide a more accurate assessment of the harmonic distortions, this dissertation has as main objective to develop a probabilistic methodology to estimate the level of in secondary distribution networks considering the uncertainties present in the network and PVDG connected along the network. The methodology proposed in this dissertation is based on the combination of the following techniques: three-phase harmonic power flow in phase coordinate via method sum of admittance, point estimate method and series expansion of Gram-Charlier. The validation of the methodology was performed using the Monte Carlo Simulation. The methodology was tested in European secondary distribution network with 906 nodes of 416 V. The results were obtained by performing two case studies: without the presence of PVDG and with the PVDG connection. For the case studies, the following statistics for nodal were estimated: mean value, standard deviation and the 95% percentile. The results showed that the probabilistic estimation of is more complete, since it shows the variation of due to the uncertainties associated with harmonic sources and electric network. In addition, they show that the connection of PV-DG in the electric network significantly affects the levels of of the electric network.
Um problema de qualidade de energia elétrica que afeta os consumidores da rede de distribuição secundária são as distorções harmônicas. As distorções harmônicas são provenientes da presença das chamadas fontes de harmônicas que são equipamentos de características não-lineares, ou seja, equipamentos em que a forma de onda da tensão difere da de corrente. Tais equipamentos injetam correntes harmônicas na rede produzindo, portanto distorções na forma de onda da tensão. Nos dias atuais, a quantidade desses equipamentos na rede elétrica tem aumentado consideravelmente. Porém, o uso crescente desse tipo de equipamento ao longo da rede torna os sistemas mais vulneráveis e propensos a apresentarem problemas de qualidade no fornecimento de energia elétrica aos consumidores. Além disso, é importante destacar que no cenário atual, a geração de energia elétrica a partir de fontes renováveis, conectada na rede de distribuição secundária, está aumentando rapidamente. Isso se deve principalmente devido a escassez e altos custos dos combustíveis fosseis. Neste contexto, a Geração Distribuída Fotovoltaica (GDFV), que utiliza o sol como fonte primária para geração de energia elétrica, é a principal tecnologia de geração renovável instalada na rede de distribuição no Brasil. Contudo, a GDFV é uma potencial fonte de harmônica, pois a interface da GDFV com a rede CA é realizada por um inversor CC/CA, que é um equipamento altamente não-linear. Desde modo, os problemas de qualidade de energia elétrica associados à distorção harmônica nas redes de distribuição tendem a aumentar e a serem bem frequentes nos consumidores da rede de distribuição secundárias. Um dos principais indicadores de distorção harmônica é a distorção harmônica total de tensão ( do inglês “Total Harmonic Distortion of Voltage”) utilizada pelas concessionárias de energia elétrica para quantificar os níveis de distorção harmônica presentes na rede elétrica. Na literatura técnica existem várias técnicas determinísticas para estimar a . Essas técnicas possuem a desvantagem de não considerar as incertezas presentes na rede elétrica, tais como: mudança na configuração da rede, variação de carga e intermitência da potência injetada pela geração distribuída renovável. Portanto, a fim de fornecer uma avaliação mais precisa das distorções harmônicas, este trabalho tem como principal objetivo desenvolver uma metodologia probabilística para estimar o nível de em redes de distribuição secundária considerando as incertezas presentes na rede e na GDFV conectada ao longo da rede. A metodologia proposta nesta dissertação se baseia na combinação das seguintes técnicas: fluxo de potência harmônico trifásico em coordenadas de fase via método de soma de admitância, método de estimação por pontos e expansão em série de Gram-Charlier. Além disso, a validação da metodologia foi realizada utilizando a Simulação Monte Carlo. A metodologia desenvolvida foi testada na rede de distribuição secundária europeia com 906 nós de 416 V. Os resultados foram obtidos realizando dois casos de estudos: sem a presença de GDFV e com a conexão de GDFV. Para ambos os casos de estudo as seguintes estatísticas do nodal foram estimadas: valor médio, desvio padrão e o percentil de 95%. Os resultados demonstraram que a estimação probabilística da é mais completa, pois mostra a variação da devido às incertezas associadas com as fontes de harmônicas e as da rede elétrica. Os resultados também mostram que a conexão da GDFV afeta significativamente os níveis de da rede elétrica
Al, Hosani Mohamed. "Transient and Distributed Algorithms to Improve Islanding Detection Capability of Inverter Based Distributed Generation." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6235.
Full textPh.D.
Doctorate
Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering
Lei, Jiansheng. "Using graph theory to resolve state estimator issues faced by deregulated power systems." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1292.
Full textBooks on the topic "Distributed estimate"
Venkatram, Akula. Improvement of short-range dispersion models to estimate the air quality impact of power plants in urban environments: PIER collaborative report. [Sacramento, Calif.]: California Energy Commission, 2008.
Find full textHevesi, Joseph A. Preliminary estimates of spatially distributed net infiltration and recharge for the Death Valley Region, Nevada-California. Sacramento, Calif: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.
Find full textHevesi, Joseph A. Preliminary estimates of spatially distributed net infiltration and recharge for the Death Valley Region, Nevada-California. Sacramento, Calif: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.
Find full textUnited States. Congress. House. Committee on Post Office and Civil Service. Allowing members of Congress to use the franking privilege to distribute copies of the Constitution: Report (to accompany H.R. 1149) (including cost estimate of the Congressional Budget Office). [Washington, D.C.?: U.S. G.P.O., 1989.
Find full textLemeshko, Boris, and Irina Veretel'nikova. Criteria for testing hypotheses about randomness and the absence of a trend. Application Guide. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1587437.
Full textautores, Varios. A practical guidance on estimation of european wild ungulate population density. Ediciones de la Universidad de Castilla-La Mancha, 2022. http://dx.doi.org/10.18239/atenea_2022.41.00.
Full textCheng, Russell. Standard Asymptotic Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0003.
Full textvan Dorp, Eveline L. A., Douglas Eleveld, Erik Olofsen, and Jaap Vuyk. Drug distribution and elimination in anaesthetic practice. Edited by Michel M. R. F. Struys. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0012.
Full textAnderson, Siwan, and Debraj Ray. Excess Female Mortality in Africa. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198829591.003.0017.
Full textStreiner, David L., Geoffrey R. Norman, and John Cairney. Generalizability theory. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0009.
Full textBook chapters on the topic "Distributed estimate"
Zhu, Weiping. "A Distributed Approach to Estimate Link-Level Loss Rates." In Distributed and Parallel Computing, 386–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564621_45.
Full textAihara, Kenro, Piao Bin, Hajime Imura, Atsuhiro Takasu, and Yuzuru Tanaka. "Collecting Bus Locations by Users: A Crowdsourcing Model to Estimate Operation Status of Bus Transit Service." In Distributed, Ambient and Pervasive Interactions: Understanding Humans, 171–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91125-0_14.
Full textLasiecka, Irena, Roberto Triggiani, and Peng-Fei Yao. "An Observability Estimate in L 2(Ω) × H −1(Ω) for Second-Order Hyperbolic Equations with Variable Coefficients." In Control of Distributed Parameter and Stochastic Systems, 71–78. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35359-3_9.
Full textKalyon, Gabriel, Tristan Le Gall, Hervé Marchand, and Thierry Massart. "Global State Estimates for Distributed Systems." In Formal Techniques for Distributed Systems, 198–212. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21461-5_13.
Full textGorbunova, A. V., and A. V. Lebedev. "Response Time Estimate for a Fork-Join System with Pareto Distributed Service Time as a Model of a Cloud Computing System Using Neural Networks." In Communications in Computer and Information Science, 318–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97110-6_25.
Full textBo, Li, Jun Chen, Man Yang, and Erfei Wang. "Incentives to Tight the Runtime Estimates of EASY Backfilling." In Distributed Computing and Networking, 193–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92295-7_24.
Full textZhu, Jun-Wei, Xin Wang, and Guang-Hong Yang. "Distributed IE for Complex Networks." In Fault Estimation for Network Systems via Intermediate Estimator, 55–75. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6321-6_5.
Full textBagchi, Susmit, and Mads Nygaard. "Designing the MDVM-Stub and Memory Estimator." In Distributed Computing - IWDC 2004, 397–411. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30536-1_45.
Full textKomornik, Vilmos. "Decay Estimates for the Wave Equation." In Control and Optimal Design of Distributed Parameter Systems, 153–69. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4613-8460-1_7.
Full textZhu, Jun-Wei, Xin Wang, and Guang-Hong Yang. "Distributed IE for MASs with Undirected Graph." In Fault Estimation for Network Systems via Intermediate Estimator, 77–95. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6321-6_6.
Full textConference papers on the topic "Distributed estimate"
McLoughlin, Terence, and Mark Campbell. "Distributed Estimate Fusion Filter for Large Spacecraft Formations." In AIAA Guidance, Navigation and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-6666.
Full textFu, Shu-Huan, and Jia-He Cao. "VaR and CVaR Estimate Based on Distributed Parallel Algorithm." In 2012 11th International Symposium on Distributed Computing and Applications to Business, Engineering & Science. IEEE, 2012. http://dx.doi.org/10.1109/dcabes.2012.73.
Full textKloubert, Marie-Louise. "Fast Point Estimate Method for Correlated Multimodally Distributed Input Variables." In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2020. http://dx.doi.org/10.1109/pmaps47429.2020.9183681.
Full textJahangir, Mohammed, and David Blacknell. "Optimum parameter estimate for K-distributed clutter using multiple moments." In Satellite Remote Sensing III, edited by Giorgio Franceschetti, Christopher J. Oliver, Franco S. Rubertone, and Shahram Tajbakhsh. SPIE, 1996. http://dx.doi.org/10.1117/12.262723.
Full textChun Yuan and Xin Wang. "A distributed video coding algorithm based on bilateral motion estimate." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002189.
Full textde Souza Brito, Jose Benedito, and Aleteia Patricia F. Araujo. "Model to estimate the size of a Hadoop cluster - HCEm." In 2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2014. http://dx.doi.org/10.1109/padsw.2014.7097897.
Full textHan, Yinghua, Jinkuan Wang, Qiang Zhao, and Bin Wang. "A two-stage approach to estimate parameters of locally distributed source." In 2010 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2010. http://dx.doi.org/10.1109/icnsc.2010.5461558.
Full textPannell, C. N., J. Dhliwayo, and D. J. Webb. "How to estimate the accuracy of a Brillouin Distributed Temperature Sensor." In Optical Fiber Sensors. Washington, D.C.: OSA, 1997. http://dx.doi.org/10.1364/ofs.1997.othc30.
Full textLiu, Kai, and Hock Beng Lim. "Positioning accuracy improvement via distributed location estimate in cooperative vehicular networks." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338743.
Full textBogachkov, I. V., S. V. Ovchinnikov, and N. I. Gorlov. "Increase of accuracy for estimate of distributed irregularities in optical fibers." In 2012 IEEE 11th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2012. http://dx.doi.org/10.1109/apeie.2012.6628958.
Full textReports on the topic "Distributed estimate"
Mathew, Sonu, Srinivas S. Pulugurtha, and Sarvani Duvvuri. Modeling and Predicting Geospatial Teen Crash Frequency. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2119.
Full textPatel, Reena, David Thompson, Guillermo Riveros, Wayne Hodo, John Peters, and Felipe Acosta. Dimensional analysis of structural response in complex biological structures. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41082.
Full textWaganet, R. J., John Duxbury, Uri Mingelgrin, John Hutson, and Zev Gerstl. Consequences of Nonequilibrium Pesticide Fate Processes on Probability of Leaching from Agricultural Lands. United States Department of Agriculture, January 1994. http://dx.doi.org/10.32747/1994.7568769.bard.
Full textMeliopoulos, Sakis, George Cokkinides, Bruce Fardanesh, and Clinton Hedrington. Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1176943.
Full textAllik, Mirjam, Dandara Ramos, Marilyn Agranonik, Elzo Pereira Pinto Junior, Maria Yury Ichihara, Mauricio Barreto, Alastair Leyland, and Ruth Dundas. Developing a Small-Area Deprivation Measure for Brazil. University of Glasgow, May 2020. http://dx.doi.org/10.36399/gla.pubs.215898.
Full textHevesi, J. A., A. L. Flint, and L. E. Flint. Preliminary estimates of spatially distributed net infiltration and recharge for the Death Valley region, Nevada-California. Office of Scientific and Technical Information (OSTI), July 2002. http://dx.doi.org/10.2172/797779.
Full textWu, Yuehua. On Strongly Consistent Estimates of Regression Coefficients when the Errors are not Independently and Identically Distributed. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada170076.
Full textZisman, Sagi, Caleb Phillips, Heidi Tinnesand, and Dmitry Duplyakin. Bias Characterization, Vertical Interpolation, and Horizontal Interpolation for Distributed Wind Siting Using Mesoscale Wind Resource Estimates. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1760659.
Full textAbur, Ali, Jianzhong Tong, David Kelle, Andre Langner, and Ramtin Khalili. Robust Distributed State Estimator for Interconnected Transmission and Distribution Networks (Final Report RPPR-1). Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1772562.
Full textTanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, October 2015. http://dx.doi.org/10.32747/2015.7594402.bard.
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