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Статті в журналах з теми "Velocity Uncertainty"
Avila Farenzena, Bruno, and Jorge Hugo Silvestrini. "Density currents front velocity uncertainty." Computers & Fluids 232 (January 2022): 105209. http://dx.doi.org/10.1016/j.compfluid.2021.105209.
Повний текст джерелаChen, Yue, Harold E. Bedell, Laura J. Frishman, and Dennis M. Levi. "Stimulus uncertainty affects velocity discrimination." Vision Research 38, no. 9 (May 1998): 1265—IN2. http://dx.doi.org/10.1016/s0042-6989(97)00282-4.
Повний текст джерелаPoliannikov, Oleg V., and Alison E. Malcolm. "The effect of velocity uncertainty on migrated reflectors: Improvements from relative-depth imaging." GEOPHYSICS 81, no. 1 (January 1, 2016): S21—S29. http://dx.doi.org/10.1190/geo2014-0604.1.
Повний текст джерелаSteinbock, J., A. Weissenbrunner, M. Juling, T. Lederer, and P. U. Thamsen. "Uncertainty evaluation for velocity–area methods." Flow Measurement and Instrumentation 48 (April 2016): 51–56. http://dx.doi.org/10.1016/j.flowmeasinst.2015.09.007.
Повний текст джерелаZhang, Jiacheng, Sayantan Bhattacharya, and Pavlos P. Vlachos. "Uncertainty of PIV/PTV based Eulerian pressure estimation using velocity uncertainty." Measurement Science and Technology 33, no. 6 (March 10, 2022): 065303. http://dx.doi.org/10.1088/1361-6501/ac56bf.
Повний текст джерелаGrubb, H., A. Tura, and C. Hanitzsch. "Estimating and interpreting velocity uncertainty in migrated images and AVO attributes." GEOPHYSICS 66, no. 4 (July 2001): 1208–16. http://dx.doi.org/10.1190/1.1487067.
Повний текст джерелаYilmaz, Öz. "Circumventing velocity uncertainty in imaging complex structures." Leading Edge 37, no. 1 (January 2018): 14–18. http://dx.doi.org/10.1190/tle37010014.1.
Повний текст джерелаRenbiao Wu, Kunlong Gu, Jian Li, J. Habersat, and G. Maksymonko. "Propagation velocity uncertainty on GPR SAR processing." IEEE Transactions on Aerospace and Electronic Systems 39, no. 3 (July 2003): 849–61. http://dx.doi.org/10.1109/taes.2003.1238741.
Повний текст джерелаCoveney, Sam, Cesare Corrado, Caroline H. Roney, Daniel O’Hare, Steven E. Williams, Mark D. O’Neill, Steven A. Niederer, Richard H. Clayton, Jeremy E. Oakley, and Richard D. Wilkinson. "Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2173 (May 25, 2020): 20190345. http://dx.doi.org/10.1098/rsta.2019.0345.
Повний текст джерелаPoliannikov, Oleg V., Michael Prange, Alison E. Malcolm, and Hugues Djikpesse. "Joint location of microseismic events in the presence of velocity uncertainty." GEOPHYSICS 79, no. 6 (November 1, 2014): KS51—KS60. http://dx.doi.org/10.1190/geo2013-0390.1.
Повний текст джерелаДисертації з теми "Velocity Uncertainty"
Bermuske, Mike, Lars Büttner, and Jürgen Czarske. "Measurement uncertainty budget of an interferometric flow velocity sensor." SPIE, 2017. https://tud.qucosa.de/id/qucosa%3A35151.
Повний текст джерелаAnderson, Kimberly Rose. "Quantifying Uncertainty in Low Velocity Human Aspiration Studies: Effect of Secondary Aspiration and Thin-walled Reference Sampling in Low Velocity Conditions." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4812.
Повний текст джерелаNiemiec, Łukasz. "Určení nejistot při stanovení průtoků ve vodních tocích pomocí měření hydrometrickou vrtulí." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2013. http://www.nusl.cz/ntk/nusl-233793.
Повний текст джерелаNitschke, Christian Thomas. "Quantification d'incertitudes aléatoires et épistémiques dans la prédiction d'instabilités aéroélastiques." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS022/document.
Повний текст джерелаThe critical flutter velocity is an essential factor in aeronautic design because it caracterises the flight envelope outside which the aircraft risks to be destroyed. The goal of this thesis is the study of the impact of uncertainties of aleatory and epistemic origin on the linear stability limit of idealised aeroelastic configurations. First, a direct propagation problem of aleatory uncertainties related to manufacturing parameters of a rectangular plate wing made of a laminated composite material was considered. The representation of the material through the polar method alleviates the constraint of the high number of dimensions of the initial stochastic problem, which allows the use of polynomial chaos. However, the correlation which is introduced by this parametrisation requires an adaption of the polynomial basis. Finally, a machine learning algorithm is employed for the treatment of discontinuities in the modal behaviour of the aeroelastic instabilities. The second part of the thesis is about the quantification of modelling uncertainties of epistemic nature which are introduced in the aerodynamic operator. This work, which is conducted based on a Bayesian formalism, allows not only to establish model probabilities, but also to calibrate the model coefficients in a stochastic context in order to obtain robust predictions for the critical velocity. Finally, a combined study of the two types of uncertainty allows to improve the calibration process
Janečka, Jan. "Návrh zařízení pro měření a hodnocení tepelného stavu prostředí." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-234012.
Повний текст джерелаAlwash, Maitham Fadhil Abbas. "Assessment of concrete strength in existing structures using nondestructive tests and cores : analysis of current methodology and recommendations for more reliable assessment." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0587/document.
Повний текст джерелаTo assess concrete strength in an existing structure, the current methodology combines nondestructive measurements (NDT) like rebound hammer or/and pulse velocity with destructive technique (cores) in order to implement a relationship ‘‘conversion model” between the compressive strength and NDT measurements. The conversion model is used to estimate the local strength value at each test location using the corresponding NDT value.Then the estimated mean strength and/or estimated strength standard deviation (concrete strength variability) values are calculated. However, the reliability of these estimated values isalways a questionable issue because of the uncertainties associated with the strength assessment based upon NDT measurements. To improve the reliability, the uncertainties must be reduced by specifying and controlling their influencing factors. Therefore, the objective of this thesis is to analyze the current assessment methodology in order to provide practical recommendations that can improve the reliability of assessing the in-situ strength in existing concrete structures by nondestructive tests and cores.To this end, a simulator was built in order to analyze the effects of the most influencing factors using a large campaign of datasets from different sources (in-situ or laboratory studies,and generated synthetic data).The first contribution of this work is the development of a new model identification approach“bi-objective” that can efficiently capture the strength variability in addition to the mean strength. After studying the effect of the way of selection the core locations, a method was proposed to select these locations depending on the NDT measurements “conditional selection” that improves the quality of assessment without additional cost. A third innovation was the development of a procedure to identify the relation between the number of cores and the accuracy of the estimation. Finally recommendations were derived in order to providemore reliable estimated values
Vestin, Albin, and Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.
Повний текст джерелаDussaud, Eric Albert. "Velocity analysis in the presence of uncertainty." Thesis, 2005. http://hdl.handle.net/1911/18897.
Повний текст джерелаLuo, Hao. "Tsallis Entropy Based Velocity Distribution in Open Channel Flows." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-462.
Повний текст джерелаHAUNG, CHI-HSIANG, and 黃氣祥. "Stochastic sediment transport modeling: fluctuation sediment concentrations, Non-Fickian diffusivity, settling velocity uncertainty." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5bjc84.
Повний текст джерела國立臺灣大學
土木工程學研究所
105
The uncertainty of the sediment transport cannot be neglected according to the turbulent bursting. The study adapted two methods to calculated the uncertainty of sediment transport and one method to improved uncertainty analysis method. The first method (first topic) is based on the advection diffusion equation which is in diffusion region. The uncertain of the movement of the sediment particle can be simulated by stochastic particle tracking method(SPTM). By Markov Chain, SPTM can be simplified and calculated the uncertainty of the sediment concentration efficiency. First, the uncertainty of the spatial and temporal sediment concertation caused by the particle size can be calculated. With a similar particle size, the change of temporal sediment concertation is explicit. Secondly the uncertain of the equilibrium sediment concentration caused by fluctuation of turbulence will be estimated. The result of sediment concertation by proposed model is validated against the experiment data and can better describe sediment concentration than the deterministic model (Rouse profile). The first method is more suitable to described the sediment concentration under condition of suspended load. The second method is focus on the trajectory of the sediment particle in non-diffusion region. The particle is force by lifting, gravity, drag, Buoyancy forces. To calculated the foundation force, the more accuracy flow velocity is created by gram charily expansion which considering four order moment of the fluctuation. The bed condition in the study adapt a rebound process. The particle will collide with stochastic particle alignment. In this (second) topic, firstly, the saltation length and height calculated by the proposed model will be validated by experiment. The saltation length and height in the smooth bed is higher than that in rough bed. Secondly the sediment concentration under suspend and bed load condition is compared with Rouse profile and experiment data. Third the supdiffusion and subdiffusion will be discussed. In the first and second topic, the uncertainty of the sediment concentration is calculated by the Monte Carlo Simulation which is extremely time consuming. In the third topic, two new methods are provided. The results simulated by two methods are compared with Simpson method. The first method is derived from the point estimated method(PEM) which only used two or three points. By increasing the accuracy of the simulated result by PEM, the adequative method is used to increase the simulation points. Secondly, Gram Charlier expansion and Hermit Gauss Quadrature is adapted to calculated by uncertainty in the second method. First method is suitable when the simulation points are few and the distribution of the random variable is known. The second method is suitable when the statistical moment of the random variable is only known. The converge of the second method is faster than the other two methods.Key words: Particle tracking method, Markov chain, higher order flow field, Modified Hermite Gauss integral, Adequative Hong’s method.
Книги з теми "Velocity Uncertainty"
J, Wendt Bruce, and United States. National Aeronautics and Space Administration., eds. A new algorithm for five-hole probe calibration, data reduction, and uncertainty analysis. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаJ, Wendt Bruce, and United States. National Aeronautics and Space Administration., eds. A new algorithm for five-hole probe calibration, data reduction, and uncertainty analysis. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаJ, Wendt Bruce, and United States. National Aeronautics and Space Administration., eds. A new algorithm for five-hole probe calibration, data reduction, and uncertainty analysis. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаA new algorithm for five-hole probe calibration, data reduction, and uncertainty analysis. [Washington, DC]: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаЧастини книг з теми "Velocity Uncertainty"
Zhang, Geng, Dihua Sun, Min Zhao, Hui Liu, Dong Chen, and Yang Li. "Stability Analysis of Car-Following Model with Uncertainty in Perceiving Velocity." In Advances in Intelligent Systems and Computing, 409–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38789-5_50.
Повний текст джерелаCorato, G., T. Moramarco, T. Tucciarelli, and J. W. Fulton. "Continuous Discharge Monitoring Using Non-contact Methods for Velocity Measurements: Uncertainty Analysis." In Engineering Geology for Society and Territory - Volume 3, 617–21. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09054-2_123.
Повний текст джерелаGuedes, Bruno Rocha, Marcelo Lobosco, Rodrigo Weber dos Santos, and Ruy Freitas Reis. "Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments." In Computational Science – ICCS 2021, 511–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77964-1_39.
Повний текст джерелаZhou, Guoqiang, and Rongyi Cui. "An Approach to Scene Segmentation Based on Energy and Uncertainty Distribution of Velocity Field." In Communications in Computer and Information Science, 520–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31968-6_62.
Повний текст джерелаNagib, H., P. Monkewitz, L. Mascotelli, G. Bellani, and A. Talamelli. "Uncertainty Analysis of the Von Kàrmàn Constant for the Mean Centerline Velocity in CICLoPE." In Springer Proceedings in Physics, 197–202. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22196-6_31.
Повний текст джерелаFiorini, Camilla, Pierre-Marie Boulvard, Long Li, and Etienne Mémin. "A Two-Step Numerical Scheme in Time for Surface Quasi Geostrophic Equations Under Location Uncertainty." In Mathematics of Planet Earth, 57–67. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_5.
Повний текст джерелаMrokowska, Magdalena M., Paweł M. Rowiński, and Monika B. Kalinowska. "The Uncertainty of Measurements in River Hydraulics: Evaluation of Friction Velocity Based on an Unrepeatable Experiment." In GeoPlanet: Earth and Planetary Sciences, 195–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30209-1_13.
Повний текст джерелаLiu, Yongbo, Zhuoshi Chen, Xiaoming Yuan, and Longwei Chen. "The Uncertainty of In-situ S and P Wave Velocity Test at Xichang Experimental Field of CSES." In Proceedings of the 4th International Conference on Performance Based Design in Earthquake Geotechnical Engineering (Beijing 2022), 944–51. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11898-2_71.
Повний текст джерелаSchmidt-Böcking, H., S. Eckart, H. J. Lüdde, G. Gruber, and T. Jahnke. "The Precision Limits in a Single-Event Quantum Measurement of Electron Momentum and Position." In Molecular Beams in Physics and Chemistry, 223–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63963-1_12.
Повний текст джерелаLiu, Yuan, and Shangzheng Liu. "Smooth Globally Convergent Velocity Observer Design for Uncertain Robotic Manipulators." In Lecture Notes in Electrical Engineering, 526–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9682-4_55.
Повний текст джерелаТези доповідей конференцій з теми "Velocity Uncertainty"
Lynn, Walt. "Azimuthal interval velocity uncertainty." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627776.
Повний текст джерелаHaas, A., P. Thore, and J. Arnaud. "Structural Uncertainty Determination by Statistical Analysis." In EAEG/SEG Summer Workshop - Construction of 3-D Macro Velocity-Depth Models. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201407576.
Повний текст джерелаJ. Grubb, H., A. Tura, and C. Hanitzsch. "Migration Velocity Uncertainty and AVO Attributes." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406687.
Повний текст джерелаDavison, Chris, Andrew Ratcliffe, Sergio Grion, Rodney Johnston, Carlos Duque, Jeremy Neep, and Musa Maharramov. "Azimuthal velocity uncertainty: Estimation and application." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627743.
Повний текст джерелаLynn, Walt. "Uncertainty implications in azimuthal velocity analysis." In SEG Technical Program Expanded Abstracts 2007. Society of Exploration Geophysicists, 2007. http://dx.doi.org/10.1190/1.2792387.
Повний текст джерелаGautam, Suman, Jianchun Dai, Nadxieli De La Rosa Perez, and Andrew Jalbert. "Rock physics based velocity modeling for reducing subsalt velocity uncertainty." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17538873.1.
Повний текст джерелаMair Sdn Bhd, Dylan, and Lee Hong Shien. "Scenario-based Velocity Modeling forDepth Conversion Uncertainty." In PGCE 2005. European Association of Geoscientists & Engineers, 2005. http://dx.doi.org/10.3997/2214-4609-pdb.257.11.
Повний текст джерелаPoliannikov*, Oleg V., and Alison E. Malcolm. "Effect of velocity uncertainty on migrated reflectors." In SEG Technical Program Expanded Abstracts 2014. Society of Exploration Geophysicists, 2014. http://dx.doi.org/10.1190/segam2014-1359.1.
Повний текст джерелаLa Jeunesse, Jeff W., Peter A. Sable, and John P. Borg. "Uncertainty analysis for transverse surface velocity measurements." In SHOCK COMPRESSION OF CONDENSED MATTER - 2019: Proceedings of the Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter. AIP Publishing, 2020. http://dx.doi.org/10.1063/12.0000875.
Повний текст джерелаGonzález-Castro, Juan A., and Zhiming Chen. "Uncertainty of Index-Velocity Measurements at Culverts." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)450.
Повний текст джерелаЗвіти організацій з теми "Velocity Uncertainty"
Li, Q., J. Shimeld, K. Dickie, S. A. Dehler, D. Mosher, and K. Desroches. Seismic velocity modelling, fixed point optimization, and evaluation of positioning uncertainty in the central Labrador Sea region: methods, a software tool, and an application. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/295859.
Повний текст джерелаBidier, S., U. Khristenko, R. Tosi, R. Rossi, and C. Soriano. D7.3 Report on UQ results and overall user experience. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.9.002.
Повний текст джерелаLi, Xiao, GX Xu, FY Ling, ZH Yin, Y. Wei,, Y. Zhao, Xn Li, WC Qi, L. Zhao, and FR Liang. The dose-effect association between electroacupuncture sessions and its effect on chronic migraine: a protocol of a meta-regression of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2022. http://dx.doi.org/10.37766/inplasy2022.12.0085.
Повний текст джерелаStastny, Petr, Robert Roczniok, Daniel Cleather, Martin Musalek, Dominik Novak, and Michal Vagner. Straight speed and acceleration optimal distances and reference values. A systematic review, and meta-analyses. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0010.
Повний текст джерела