Добірка наукової літератури з теми "Real data model"
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Статті в журналах з теми "Real data model"
AbdElHamid, Amr, Peng Zong, and Bassant Abdelhamid. "Advanced UAV Hybrid Simulator Model Based-on Dynamic Real Weather Data." International Journal of Modeling and Optimization 5, no. 4 (2015): 246–56. http://dx.doi.org/10.7763/ijmo.2015.v5.470.
Повний текст джерелаMueller, Conrad S. M. "A New Computational Model for Real Gains in Big Data Processing Power." Advances in Cyber-Physical Systems 2, no. 1 (March 28, 2017): 11–21. http://dx.doi.org/10.23939/acps2017.01.011.
Повний текст джерелаLasič, S. "Geyser model with real-time data collection." European Journal of Physics 27, no. 4 (June 19, 2006): 995–1005. http://dx.doi.org/10.1088/0143-0807/27/4/031.
Повний текст джерелаCharpentier, Philippe. "The LHCb Computing Model and Real Data." Journal of Physics: Conference Series 331, no. 7 (December 23, 2011): 072008. http://dx.doi.org/10.1088/1742-6596/331/7/072008.
Повний текст джерелаArtuso, Paola, Rupert Gammon, Fabio Orecchini, and Simon J. Watson. "Alkaline electrolysers: Model and real data analysis." International Journal of Hydrogen Energy 36, no. 13 (July 2011): 7956–62. http://dx.doi.org/10.1016/j.ijhydene.2011.01.094.
Повний текст джерелаNaik, Kevin, and Anton Ianakiev. "Heat demand prediction: A real-life data model vs simulated data model comparison." Energy Reports 7 (October 2021): 380–88. http://dx.doi.org/10.1016/j.egyr.2021.08.093.
Повний текст джерелаYoshikawa, Kogo, and 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.
Повний текст джерелаDutta, Hiren. "Graph Based Data Governance Model for Real Time Data Ingestion." International Journal of Information Technology and Computer Science 8, no. 10 (October 8, 2016): 56–62. http://dx.doi.org/10.5815/ijitcs.2016.10.07.
Повний текст джерелаSrisaila, A., D. Rajani, M. V. D. N. S. Madhavi, G. Jaya Lakshmi, K. Amarendra, and Narasimha Rao Dasari. "An Improved Data Generalization Model for Real-Time Data Analysis." Scientific Programming 2022 (August 9, 2022): 1–9. http://dx.doi.org/10.1155/2022/4118371.
Повний текст джерелаDutta, Hiren. "Graph based data governance model for real time data ingestion." CSI Transactions on ICT 3, no. 2-4 (December 2015): 119–25. http://dx.doi.org/10.1007/s40012-016-0079-y.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаGranholm, 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.
Повний текст джерелаIncludes 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.
Повний текст джерелаLarsson, 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.
Повний текст джерелаRobidoux, 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.
Повний текст джерелаMaster 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.
Повний текст джерелаHwang, 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.
Повний текст джерелаBergstrom, 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.
Повний текст джерелаVita.
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.
Повний текст джерелаHajjam, 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/.
Повний текст джерелаКниги з теми "Real data model"
Henzinger, T. A. An interleaving model for real time. Stanford, Calif: Dept. of Computer Science, Stanford University, 1990.
Знайти повний текст джерелаDailey, Daniel J. A cellular automata model for use with real freeway data. [Olympia, Wash.]: Washington State Dept. of Transportation, 2002.
Знайти повний текст джерелаCarroll, Jeremy J. A deterministic model of time for distributed systems. Palo Alto, CA: Hewlett-Packard Laboratories, Technical Publications Department, 1996.
Знайти повний текст джерелаSavola, Reijo. The model execution kernel of a real-time software prototyping environment. Espoo [Finland]: Technical Research Centre of Finland, 1992.
Знайти повний текст джерелаVerghese, Gilbert. Perspective alignment back-projection for real-time monocular three-dimensional model-based computer vision. Toronto: Dept. of Computer Science, University of Toronto, 1995.
Знайти повний текст джерелаGalí, 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.
Знайти повний текст джерелаJohnson, 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.
Знайти повний текст джерелаCrawford, Jason A. Modal emissions modeling with real traffic data. College Station, Tex: Texas Transportation Institute, Texas A&M University System, 1999.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. Real-time sensor data validation. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. Real-time sensor data validation. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаЧастини книг з теми "Real data model"
Yoon, Sung-eui, Enrico Gobbetti, David Kasik, and Dinesh Manocha. "Cache-Coherent Data Management." In Real-Time Massive Model Rendering, 55–83. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-79531-2_5.
Повний текст джерелаKaddes, Mourad, Majed Abdouli, Laurent Amanton, Mouez Ali, Rafik Bouaziz, and Bruno Sadeg. "F-RT-ETM: Toward Analysis and Formalizing Real Time Transaction and Data in Real-Time Database." In Model and Data Engineering, 85–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24443-8_11.
Повний текст джерелаOuhammou, Yassine, Emmanuel Grolleau, Michael Richard, and Pascal Richard. "Towards a Simple Meta-model for Complex Real-Time and Embedded Systems." In Model and Data Engineering, 226–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24443-8_24.
Повний текст джерелаCuzzocrea, Alfredo, Giuseppe Psaila, and Maurizio Toccu. "Knowledge Discovery from Geo-Located Tweets for Supporting Advanced Big Data Analytics: A Real-Life Experience." In Model and Data Engineering, 285–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23781-7_23.
Повний текст джерелаSen, Soumya, Agostino Cortesi, and Nabendu Chaki. "Applications of Hyper-lattice in Real Life." In 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.
Повний текст джерелаLandau, I. D. "On the Use of Real Data for Controller Reduction." In Model Identification and Adaptive Control, 75–93. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0711-8_4.
Повний текст джерелаCluckie, Ian D., Pao-shan Yu, and Kevin A. Tiford. "Real-Time Forecasting: Model Structure and Data Resolution." In Weather Radar Networking, 449–61. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_49.
Повний текст джерелаRastogi, Namrata, Parul Verma, and Pankaj Kumar. "Ontological Design of Information Retrieval Model for Real Estate Documents." In Microservices in Big Data Analytics, 73–85. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0128-9_7.
Повний текст джерелаBabau, Jean-Philippe, Philippe Dhaussy, and Pierre-Yves Pillain. "Model Integration for Formal Qualification of Timing-Aware Software Data Acquisition Components." In 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.
Повний текст джерелаChen, Lucheng, Haiqin Xie, Wen Yang, and Lin Xiao. "Data Space Based on Mass Customization Model." In Designing Data Spaces, 437–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93975-5_26.
Повний текст джерелаТези доповідей конференцій з теми "Real data model"
Cowdale, Alan. "Real world data collection for model validation." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429176.
Повний текст джерелаMecheva, Teodora A., and Nikolay R. Kakanakov. "Traffic flow model based on real data." In 2021 XXX International Scientific Conference Electronics (ET). IEEE, 2021. http://dx.doi.org/10.1109/et52713.2021.9579596.
Повний текст джерелаJiang, Jingyan, Ziyue Luo, Chenghao Hu, Zhaoliang He, Zhi Wang, Shutao Xia, and Chuan Wu. "Joint Model and Data Adaptation for Cloud Inference Serving." In 2021 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2021. http://dx.doi.org/10.1109/rtss52674.2021.00034.
Повний текст джерелаCampbell, David K., and David K. Towner. "A Magneto-optic Polarization Readout Model." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ods.1985.tubb2.
Повний текст джерелаGabrielian, Ana B., Tejas G. Puranik, Mayank V. Bendarkar, Michelle Kirby, Dimitri Mavris, and Dylan Monteiro. "Noise Model Validation using Real World Operations Data." In AIAA AVIATION 2021 FORUM. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2021. http://dx.doi.org/10.2514/6.2021-2136.
Повний текст джерелаFeller, Christian, Juergen Wuenschmann, Raimar Wagner, and Albrecht Rothermel. "Model-based video compression for real world data." In 2013 IEEE Third International Conference on Consumer Electronics ¿ Berlin (ICCE-Berlin). IEEE, 2013. http://dx.doi.org/10.1109/icce-berlin.2013.6697976.
Повний текст джерелаCapobianco, Giovanni, Umberto Di Giacomo, Tommaso Di Tusa, Francesco Mercaldo, and Antonella Santone. "A Methodology for Real-Time Data Verification exploiting Deep Learning and Model Checking." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005994.
Повний текст джерелаShetye, Komal S., Wonhyeok Jang, and Thomas J. Overbye. "System Dynamic Model Validation using Real-Time Models and PMU Data." In 2018 Clemson University Power Systems Conference (PSC). IEEE, 2018. http://dx.doi.org/10.1109/psc.2018.8664078.
Повний текст джерелаZhao, Li, Zhang Chuang, Xu Ke-Fu, and Chen Meng-Meng. "A Computing Model for Real-Time Stream Processing." In 2014 International Conference on Cloud Computing and Big Data (CCBD). IEEE, 2014. http://dx.doi.org/10.1109/ccbd.2014.26.
Повний текст джерелаFeller, Christian, Juergen Wuenschmann, Raimar Wagner, and Albrecht Rothermel. "Model optimization for model-based compression of real world video data." In 2014 IEEE Fourth International Conference on Consumer Electronics – Berlin (ICCE-Berlin). IEEE, 2014. http://dx.doi.org/10.1109/icce-berlin.2014.7034314.
Повний текст джерелаЗвіти організацій з теми "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, January 2012. http://dx.doi.org/10.31274/ans_air-180814-111.
Повний текст джерелаSelvaraju, Ragul, SHABARIRAJ SIDDESWARAN, and Hariharan Sankarasubramanian. The Validation of Auto Rickshaw Model for Frontal Crash Studies Using Video Capture Data. SAE International, September 2020. http://dx.doi.org/10.4271/2020-28-0490.
Повний текст джерелаSelvaraju, Ragul, SHABARIRAJ SIDDESWARAN, and Hariharan Sankarasubramanian. The Validation of Auto Rickshaw Model for Frontal Crash Studies Using Video Capture Data. SAE International, September 2020. http://dx.doi.org/10.4271/2020-28-0490.
Повний текст джерелаSalazar-Díaz, Andrea, Aaron Levi Garavito Acosta, Sergio Restrepo-Ángel, and Leidy Viviana Arcila-Agudelo. Real Equilibrium Exchange Rate in Colombia: Thousands of VEC Models Approach. Banco de la República Colombia, December 2022. http://dx.doi.org/10.32468/be.1221.
Повний текст джерелаPassner, Jeffrey E., Stephen Kirby, and 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, April 2012. http://dx.doi.org/10.21236/ada561959.
Повний текст джерелаKuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2885.
Повний текст джерелаHevia, Constantino, and Juan Pablo Nicolini. Research Insights: Do Primary Commodity Prices Account for the Fluctuations of Exchange Rates? Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004605.
Повний текст джерелаMoldovan, Paula, Sérgio Lagoa, and 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.
Повний текст джерелаDel Valle, Sara Y. Real-time Social Internet Data to Guide Forecasting Models. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1325660.
Повний текст джерелаVecherin, Sergey, Derek Chang, Emily Wells, Benjamin Trump, Aaron Meyer, Jacob Desmond, Kyle Dunn, Maxim Kitsak, and Igor Linkov. Assessment of the COVID-19 infection risk at a workplace through stochastic microexposure modeling. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43740.
Повний текст джерела