Literatura académica sobre el tema "Real data model"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Real data model".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Real data model"
AbdElHamid, Amr, Peng Zong y Bassant Abdelhamid. "Advanced UAV Hybrid Simulator Model Based-on Dynamic Real Weather Data". International Journal of Modeling and Optimization 5, n.º 4 (2015): 246–56. http://dx.doi.org/10.7763/ijmo.2015.v5.470.
Texto completoMueller, Conrad S. M. "A New Computational Model for Real Gains in Big Data Processing Power". Advances in Cyber-Physical Systems 2, n.º 1 (28 de marzo de 2017): 11–21. http://dx.doi.org/10.23939/acps2017.01.011.
Texto completoLasič, S. "Geyser model with real-time data collection". European Journal of Physics 27, n.º 4 (19 de junio de 2006): 995–1005. http://dx.doi.org/10.1088/0143-0807/27/4/031.
Texto completoCharpentier, Philippe. "The LHCb Computing Model and Real Data". Journal of Physics: Conference Series 331, n.º 7 (23 de diciembre de 2011): 072008. http://dx.doi.org/10.1088/1742-6596/331/7/072008.
Texto completoArtuso, Paola, Rupert Gammon, Fabio Orecchini y Simon J. Watson. "Alkaline electrolysers: Model and real data analysis". International Journal of Hydrogen Energy 36, n.º 13 (julio de 2011): 7956–62. http://dx.doi.org/10.1016/j.ijhydene.2011.01.094.
Texto completoNaik, Kevin y Anton Ianakiev. "Heat demand prediction: A real-life data model vs simulated data model comparison". Energy Reports 7 (octubre de 2021): 380–88. http://dx.doi.org/10.1016/j.egyr.2021.08.093.
Texto completoYoshikawa, Kogo y Gen Nakamura. "Model Independent MRE Data Analysis". Computational and Mathematical Methods in Medicine 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/912920.
Texto completoDutta, Hiren. "Graph Based Data Governance Model for Real Time Data Ingestion". International Journal of Information Technology and Computer Science 8, n.º 10 (8 de octubre de 2016): 56–62. http://dx.doi.org/10.5815/ijitcs.2016.10.07.
Texto completoSrisaila, A., D. Rajani, M. V. D. N. S. Madhavi, G. Jaya Lakshmi, K. Amarendra y Narasimha Rao Dasari. "An Improved Data Generalization Model for Real-Time Data Analysis". Scientific Programming 2022 (9 de agosto de 2022): 1–9. http://dx.doi.org/10.1155/2022/4118371.
Texto completoDutta, Hiren. "Graph based data governance model for real time data ingestion". CSI Transactions on ICT 3, n.º 2-4 (diciembre de 2015): 119–25. http://dx.doi.org/10.1007/s40012-016-0079-y.
Texto completoTesis sobre el tema "Real data model"
Frafjord, Christine. "Friction Factor Model and Interpretation of Real Time Data". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-21772.
Texto completoGranholm, George Richard 1976. "Near-real time atmospheric density model correction using space catalog data". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/44899.
Texto completoIncludes bibliographical references (p. 179-184).
Several theories have been presented in regard to creating a neutral density model that is corrected or calibrated in near-real time using data from space catalogs. These theories are usually limited to a small number of frequently tracked "calibration satellites" about which information such as mass and crosssectional area is known very accurately. This work, however, attempts to validate a methodology by which drag information from all available low-altitude space objects is used to update any given density model on a comprehensive basis. The basic update and prediction algorithms and a technique to estimate true ballistic factors are derived in detail. A full simulation capability is independently verified. The process is initially demonstrated using simulated range, azimuth, and elevation observations so that issues such as required number and types of calibration satellites, density of observations, and susceptibility to atmospheric conditions can be examined. Methods of forecasting the density correction models are also validated under different atmospheric conditions.
by George Richard Granholm.
S.M.
Bloodsworth, Peter Charles. "A generic model for real-time scheduling based on dynamic heterogeneous data". Thesis, Oxford Brookes University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432716.
Texto completoLarsson, Daniel. "ARAVQ for discretization of radar data : An experimental study on real world sensor data". Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11114.
Texto completoRobidoux, Jeff. "Real-Time Spatial Monitoring of Vehicle Vibration Data as a Model for TeleGeoMonitoring Systems". Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/32426.
Texto completoMaster of Science
hu, xiaoxiang. "Analysis of Time-related Properties in Real-time Data Aggregation Design". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39046.
Texto completoHwang, Yuan-Chun. "Local and personalised models for prediction, classification and knowledge discovery on real world data modelling problems". Click here to access this resource online, 2009. http://hdl.handle.net/10292/776.
Texto completoBergstrom, Sarah Elizabeth 1979. "An algorithm for reducing atmospheric density model errors using satellite observation data in real-time". Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/17537.
Texto completoVita.
Includes bibliographical references (p. 233-240).
Atmospheric density mismodeling is a large source of errors in satellite orbit determination and prediction in the 200-600 kilometer range. Algorithms for correcting or "calibrating" an existing atmospheric density model to improve accuracy have been seen as a major way to reduce these errors. This thesis examines one particular algorithm, which does not require launching special "calibration satellites" or new sensor platforms. It relies solely on the large quantity of observations of existing satellites, which are already being made for space catalog maintenance. By processing these satellite observations in near real-time, a linear correction factor can be determined and forecasted into the near future. As a side benefit, improved estimates of the ballistic coefficients of some satellites are also produced. Also, statistics concerning the accuracy of the underlying density model can also be extracted from the correction. This algorithm had previously been implemented and the implementation had been partially validated using simulated data. This thesis describes the completion of the validation process using simulated data and the beginning of the real data validation process. It is also intended to serve as a manual for using and modifying the implementation of the algorithm.
by Sarah Elizabeth Bergstrom.
S.M.
Byrnes, Denise Dianne. "Static scheduling of hard real-time control software using an asynchronous data-driven execution model /". The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu14877799148243.
Texto completoHajjam, Sohrab. "Real-time flood forecasting model intercomparison and parameter updating rain gauge and weather radar data". Thesis, University of Salford, 1997. http://usir.salford.ac.uk/43019/.
Texto completoLibros sobre el tema "Real data model"
Henzinger, T. A. An interleaving model for real time. Stanford, Calif: Dept. of Computer Science, Stanford University, 1990.
Buscar texto completoDailey, Daniel J. A cellular automata model for use with real freeway data. [Olympia, Wash.]: Washington State Dept. of Transportation, 2002.
Buscar texto completoCarroll, Jeremy J. A deterministic model of time for distributed systems. Palo Alto, CA: Hewlett-Packard Laboratories, Technical Publications Department, 1996.
Buscar texto completoSavola, Reijo. The model execution kernel of a real-time software prototyping environment. Espoo [Finland]: Technical Research Centre of Finland, 1992.
Buscar texto completoVerghese, Gilbert. Perspective alignment back-projection for real-time monocular three-dimensional model-based computer vision. Toronto: Dept. of Computer Science, University of Toronto, 1995.
Buscar texto completoGalí, Jordi. Technology shocks and aggregate fluctuations: How well does the real business cycle model fit postwar U.S. data? [Washington, D.C]: International Monetary Fund, Western Hemisphere Dept., 2004.
Buscar texto completoJohnson, Steven A. A simple dynamic engine model for use in a real-time aircraft simulation with thrust vectoring. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.
Buscar texto completoCrawford, Jason A. Modal emissions modeling with real traffic data. College Station, Tex: Texas Transportation Institute, Texas A&M University System, 1999.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Real-time sensor data validation. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Real-time sensor data validation. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Buscar texto completoCapítulos de libros sobre el tema "Real data model"
Yoon, Sung-eui, Enrico Gobbetti, David Kasik y Dinesh Manocha. "Cache-Coherent Data Management". En Real-Time Massive Model Rendering, 55–83. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-79531-2_5.
Texto completoKaddes, Mourad, Majed Abdouli, Laurent Amanton, Mouez Ali, Rafik Bouaziz y Bruno Sadeg. "F-RT-ETM: Toward Analysis and Formalizing Real Time Transaction and Data in Real-Time Database". En Model and Data Engineering, 85–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24443-8_11.
Texto completoOuhammou, Yassine, Emmanuel Grolleau, Michael Richard y Pascal Richard. "Towards a Simple Meta-model for Complex Real-Time and Embedded Systems". En Model and Data Engineering, 226–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24443-8_24.
Texto completoCuzzocrea, Alfredo, Giuseppe Psaila y Maurizio Toccu. "Knowledge Discovery from Geo-Located Tweets for Supporting Advanced Big Data Analytics: A Real-Life Experience". En Model and Data Engineering, 285–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23781-7_23.
Texto completoSen, Soumya, Agostino Cortesi y Nabendu Chaki. "Applications of Hyper-lattice in Real Life". En Hyper-lattice Algebraic Model for Data Warehousing, 25–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28044-8_2.
Texto completoLandau, I. D. "On the Use of Real Data for Controller Reduction". En Model Identification and Adaptive Control, 75–93. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0711-8_4.
Texto completoCluckie, Ian D., Pao-shan Yu y Kevin A. Tiford. "Real-Time Forecasting: Model Structure and Data Resolution". En Weather Radar Networking, 449–61. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_49.
Texto completoRastogi, Namrata, Parul Verma y Pankaj Kumar. "Ontological Design of Information Retrieval Model for Real Estate Documents". En Microservices in Big Data Analytics, 73–85. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0128-9_7.
Texto completoBabau, Jean-Philippe, Philippe Dhaussy y Pierre-Yves Pillain. "Model Integration for Formal Qualification of Timing-Aware Software Data Acquisition Components". En Model-Driven Engineering for Distributed Real-Time Systems, 167–200. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118558096.ch7.
Texto completoChen, Lucheng, Haiqin Xie, Wen Yang y Lin Xiao. "Data Space Based on Mass Customization Model". En Designing Data Spaces, 437–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93975-5_26.
Texto completoActas de conferencias sobre el tema "Real data model"
Cowdale, Alan. "Real world data collection for model validation". En 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429176.
Texto completoMecheva, Teodora A. y Nikolay R. Kakanakov. "Traffic flow model based on real data". En 2021 XXX International Scientific Conference Electronics (ET). IEEE, 2021. http://dx.doi.org/10.1109/et52713.2021.9579596.
Texto completoJiang, Jingyan, Ziyue Luo, Chenghao Hu, Zhaoliang He, Zhi Wang, Shutao Xia y Chuan Wu. "Joint Model and Data Adaptation for Cloud Inference Serving". En 2021 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2021. http://dx.doi.org/10.1109/rtss52674.2021.00034.
Texto completoCampbell, David K. y David K. Towner. "A Magneto-optic Polarization Readout Model". En Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ods.1985.tubb2.
Texto completoGabrielian, Ana B., Tejas G. Puranik, Mayank V. Bendarkar, Michelle Kirby, Dimitri Mavris y Dylan Monteiro. "Noise Model Validation using Real World Operations Data". En AIAA AVIATION 2021 FORUM. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2021. http://dx.doi.org/10.2514/6.2021-2136.
Texto completoFeller, Christian, Juergen Wuenschmann, Raimar Wagner y Albrecht Rothermel. "Model-based video compression for real world data". En 2013 IEEE Third International Conference on Consumer Electronics ¿ Berlin (ICCE-Berlin). IEEE, 2013. http://dx.doi.org/10.1109/icce-berlin.2013.6697976.
Texto completoCapobianco, Giovanni, Umberto Di Giacomo, Tommaso Di Tusa, Francesco Mercaldo y Antonella Santone. "A Methodology for Real-Time Data Verification exploiting Deep Learning and Model Checking". En 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005994.
Texto completoShetye, Komal S., Wonhyeok Jang y Thomas J. Overbye. "System Dynamic Model Validation using Real-Time Models and PMU Data". En 2018 Clemson University Power Systems Conference (PSC). IEEE, 2018. http://dx.doi.org/10.1109/psc.2018.8664078.
Texto completoZhao, Li, Zhang Chuang, Xu Ke-Fu y Chen Meng-Meng. "A Computing Model for Real-Time Stream Processing". En 2014 International Conference on Cloud Computing and Big Data (CCBD). IEEE, 2014. http://dx.doi.org/10.1109/ccbd.2014.26.
Texto completoFeller, Christian, Juergen Wuenschmann, Raimar Wagner y Albrecht Rothermel. "Model optimization for model-based compression of real world video data". En 2014 IEEE Fourth International Conference on Consumer Electronics – Berlin (ICCE-Berlin). IEEE, 2014. http://dx.doi.org/10.1109/icce-berlin.2014.7034314.
Texto completoInformes sobre el tema "Real data model"
Dahlke, Garland R. Revalidation of a REA, IMF and BF Projection Model Using Real-time Ultrasound Imaging and Feeding Data in Cattle. Ames (Iowa): Iowa State University, enero de 2012. http://dx.doi.org/10.31274/ans_air-180814-111.
Texto completoSelvaraju, Ragul, SHABARIRAJ SIDDESWARAN y Hariharan Sankarasubramanian. The Validation of Auto Rickshaw Model for Frontal Crash Studies Using Video Capture Data. SAE International, septiembre de 2020. http://dx.doi.org/10.4271/2020-28-0490.
Texto completoSelvaraju, Ragul, SHABARIRAJ SIDDESWARAN y Hariharan Sankarasubramanian. The Validation of Auto Rickshaw Model for Frontal Crash Studies Using Video Capture Data. SAE International, septiembre de 2020. http://dx.doi.org/10.4271/2020-28-0490.
Texto completoSalazar-Díaz, Andrea, Aaron Levi Garavito Acosta, Sergio Restrepo-Ángel y Leidy Viviana Arcila-Agudelo. Real Equilibrium Exchange Rate in Colombia: Thousands of VEC Models Approach. Banco de la República Colombia, diciembre de 2022. http://dx.doi.org/10.32468/be.1221.
Texto completoPassner, Jeffrey E., Stephen Kirby y Terry Jameson. Using Real-Time Weather Data from an Unmanned Aircraft System to Support the Advanced Research Version of the Weather Research and Forecast Model. Fort Belvoir, VA: Defense Technical Information Center, abril de 2012. http://dx.doi.org/10.21236/ada561959.
Texto completoKuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], diciembre de 2018. http://dx.doi.org/10.31812/123456789/2885.
Texto completoHevia, Constantino y Juan Pablo Nicolini. Research Insights: Do Primary Commodity Prices Account for the Fluctuations of Exchange Rates? Inter-American Development Bank, diciembre de 2022. http://dx.doi.org/10.18235/0004605.
Texto completoMoldovan, Paula, Sérgio Lagoa y Diana Mendes. The impact of Economic Policy Uncertainty on the real exchange rate: Evidence from the UK. DINÂMIA'CET-Iscte, 2021. http://dx.doi.org/10.15847/dinamiacet-iul.wp.2021.06.
Texto completoDel Valle, Sara Y. Real-time Social Internet Data to Guide Forecasting Models. Office of Scientific and Technical Information (OSTI), septiembre de 2016. http://dx.doi.org/10.2172/1325660.
Texto completoVecherin, Sergey, Derek Chang, Emily Wells, Benjamin Trump, Aaron Meyer, Jacob Desmond, Kyle Dunn, Maxim Kitsak y Igor Linkov. Assessment of the COVID-19 infection risk at a workplace through stochastic microexposure modeling. Engineer Research and Development Center (U.S.), marzo de 2022. http://dx.doi.org/10.21079/11681/43740.
Texto completo