Добірка наукової літератури з теми "Surrogate experiments"
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Статті в журналах з теми "Surrogate experiments":
Holssaple, K. A. "Hypervelocity impact experiments in surrogate materials." International Journal of Impact Engineering 14, no. 1-4 (January 1993): 335–45. http://dx.doi.org/10.1016/0734-743x(93)90032-3.
THOMAS, CHEVISE L., HARSHAVARDHAN THIPPAREDDI, SANJAY KUMAR, MACC RIGDON, ROBERT W. McKEE, and ALEXANDER M. STELZLENI. "Validation of Commonly Used Antimicrobial Interventions on Bob Veal Carcasses for Reducing Shiga Toxin–Producing Escherichia coli Surrogate Populations." Journal of Food Protection 84, no. 7 (February 9, 2021): 1114–21. http://dx.doi.org/10.4315/jfp-20-458.
Muharam, Yuswan, Danny Leonardi, and Alisya P. Ramadhania. "Simulation of the Oxidation and Combustion of Mixed Diesel-Biodiesel Fuel." MATEC Web of Conferences 156 (2018): 03008. http://dx.doi.org/10.1051/matecconf/201815603008.
Adams-Selin, Rebecca D., Adam J. Clark, Christopher J. Melick, Scott R. Dembek, Israel L. Jirak, and Conrad L. Ziegler. "Evolution of WRF-HAILCAST during the 2014–16 NOAA/Hazardous Weather Testbed Spring Forecasting Experiments." Weather and Forecasting 34, no. 1 (January 4, 2019): 61–79. http://dx.doi.org/10.1175/waf-d-18-0024.1.
Myšáková, Eva, and Matěj Lepš. "Surrogate Based Evaluation of the Design of Experiments." Advanced Materials Research 1144 (March 2017): 148–52. http://dx.doi.org/10.4028/www.scientific.net/amr.1144.148.
Melby, Jeffrey A., Fatima Diop, Norberto Nadal-Caraballo, Alex Taflanidis, and Victor Gonzalez. "HURRICANE WATER LEVEL PREDICTION USING SURROGATE MODELING." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 57. http://dx.doi.org/10.9753/icce.v36.currents.57.
Bauer, Benedikt, Felix Heimrich, Michael Kohler, and Adam Krzyżak. "On estimation of surrogate models for multivariate computer experiments." Annals of the Institute of Statistical Mathematics 71, no. 1 (November 2, 2017): 107–36. http://dx.doi.org/10.1007/s10463-017-0627-8.
Tuo, Rui, C. F. Jeff Wu, and Dan Yu. "Surrogate Modeling of Computer Experiments With Different Mesh Densities." Technometrics 56, no. 3 (July 3, 2014): 372–80. http://dx.doi.org/10.1080/00401706.2013.842935.
Latimer, G. D., W. R. Marcum, and W. F. Jones. "Dispersion of Surrogate LWR Fuel Experiments Under LOCA Conditions." Nuclear Technology 206, no. 9 (March 2, 2020): 1374–84. http://dx.doi.org/10.1080/00295450.2020.1712158.
Liu, Bolin, and Liyang Xie. "Reliability Analysis of Structures by Iterative Improved Ensemble of Surrogate Method." Shock and Vibration 2019 (October 24, 2019): 1–13. http://dx.doi.org/10.1155/2019/6357104.
Дисертації з теми "Surrogate experiments":
Weise, Peter Carl. "Mission-Integrated Synthesis/Design Optimization of Aerospace Subsystems under Transient Conditions." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/76855.
Master of Science
Boopathy, Komahan. "Uncertainty Quantification and Optimization Under Uncertainty Using Surrogate Models." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1398302731.
Bilicz, Sandor. "Application of Design-of-Experiment Methods and Surrogate Models in Electromagnetic Nondestructive Evaluation." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00601753.
Friedman, Alex Matthew. "An Approach to Incorporate Additive Manufacturing and Rapid Prototype Testing for Aircraft Conceptual Design to Improve MDO Effectiveness." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/73656.
Master of Science
Qian, Zhiguang. "Computer experiments [electronic resource] : design, modeling and integration /." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11480.
Nixon, Janel Nicole. "A Systematic Process for Adaptive Concept Exploration." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13952.
Thomas, George L. "Biogeography-Based Optimization of a Variable Camshaft Timing System." Cleveland State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1419775790.
Zhang, Boya. "Computer Experimental Design for Gaussian Process Surrogates." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99886.
Doctor of Philosophy
With a rapid development of computing power, computer experiments have gained popularity in various scientific fields, like cosmology, ecology and engineering. However, some computer experiments for complex processes are still computationally demanding. Thus, a statistical model built upon input-output observations, i.e., a so-called surrogate model or emulator, is needed as a fast substitute for the simulator. Design of experiments, i.e., how to select samples from the input space under budget constraints, is also worth studying. This dissertation focuses on the design problem under Gaussian process (GP) surrogates. The first work demonstrates empirically that commonly-used space-filling designs disappoint when the model hyperparameterization is unknown, and must be estimated from data observed at the chosen design sites. Thereafter, a new family of distance-based designs are proposed and their superior performance is illustrated in both static (design points are allocated at one shot) and sequential settings (data are sampled sequentially). The second contribution is motivated by a stochastic computer simulator of delta smelt conservation. This simulator is developed to assist in a study of delta smelt life cycles and to understand sensitivities to myriad natural variables and human interventions. However, the input space is high-dimensional, running the simulator is time-consuming, and its outputs change nonlinearly in both mean and variance. An innovative batch sequential design method is proposed, generalizing one-at-a-time sequential design to one-batch-at-a-time scheme with the goal of parallel computing. The criterion for subsequent data acquisition is carefully engineered to favor selection of replicates which boost statistical and computational efficiencies. The design performance is illustrated on a range of toy examples before embarking on a smelt simulation campaign and downstream input sensitivity analysis.
Feng, Chunyao Seaman John Weldon. "Bayesian evaluation of surrogate endpoints." Waco, Tex. : Baylor University, 2006. http://hdl.handle.net/2104/4187.
Ormandy, Shannon L. "An Experimental Demonstration of the Surrogate Conditioned Motivating Operation." Thesis, The Chicago School of Professional Psychology, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10750075.
The present study attempted to establish a flashing or solid red light as a surrogate conditioned motivating operation (CMO-S) by pairing the light with the unconditioned motivating operation (UMO) of heat. The effects of the red light were assessed by an ABAB reversal design for three participants and an ABA reversal design for one participant. Baseline sessions consisted of presenting the red light in the absence of the UMO of heat to assess for any behavioral effects of the red light before and after pairing with the UMO of heat. Galvanic Skin Response (GSR) was recorded for all participants as an indirect measure of sweating. Additional dependent variables and the ambient temperature for each participant’s UMO of heat were identified through a temperature and response assessment. The additional dependent variable was drinking water for Participants 2–4 and throat clearing for Participant 1. Results suggest that the flashing red light may have been conditioned as a CMO-S for Participants 2 and 3. Participant 4 did not consume any water during any baseline session, suggesting that the solid red light did not function as a CMO-S after pairing. Results for Participant 1 suggests that throat clearing was controlled by additional unknown variables and was not evoked by the UMO of heat. Results potentially supporting the CMO-S should be interpreted cautiously given study limitations involving temperature control and the extent that the UMO of heat was clearly demonstrated for each participant.
Книги з теми "Surrogate experiments":
Weisberg, Michael. Modeling. Edited by Herman Cappelen, Tamar Szabó Gendler, and John Hawthorne. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199668779.013.26.
Massimini, Marcello, and Giulio Tononi. Assessing Consciousness in Other Humans: From Theory to Practice. Translated by Frances Anderson. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728443.003.0007.
Siminoff, Laura A., and Maria D. Thomson. The ethics of communication in cancer and palliative care. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198736134.003.0005.
Cain, Andrew. Jerome's Commentaries on the Pauline Epistles and the Architecture of Exegetical Authority. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192847195.001.0001.
Luyckx, Valerie A. Nephron numbers and hyperfiltration as drivers of progression. Edited by David J. Goldsmith. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0138.
Частини книг з теми "Surrogate experiments":
Pourmohamad, Tony, and Herbert K. H. Lee. "Surrogate Models." In Bayesian Optimization with Application to Computer Experiments, 19–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82458-7_2.
Pourmohamad, Tony, and Herbert K. H. Lee. "Surrogate Models." In Bayesian Optimization with Application to Computer Experiments, 19–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82458-7_2.
Diestmann, Thomas, Nils Broedling, Benedict Götz, and Tobias Melz. "Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair." In Lecture Notes in Mechanical Engineering, 191–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_16.
Banton, Rohan, Thuvan Piehler, Nicole Zander, Richard Benjamin, and Josh Duckworth. "Comparison of Numerical Simulations with Experiments of Blast-Induced Pressure Wave Impact on a Surrogate Head Model." In Dynamic Behavior of Materials, Volume 1, 181–87. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62956-8_30.
Brazdil, Pavel, Jan N. van Rijn, Carlos Soares, and Joaquin Vanschoren. "Metalearning for Hyperparameter Optimization." In Metalearning, 103–22. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-67024-5_6.
Vermeeren, Günter, Wout Joseph, and Luc Martens. "Surrogate Modeling for Fast Experimental Assessment of Specific Absorption Rate." In Uncertainty Modeling for Engineering Applications, 71–87. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04870-9_5.
Wang, Hong, and Jy-An John Wang. "Experimental Study on Surrogate Nuclear Fuel Rods Under Reversed Cyclic Bending." In Fatigue and Fracture Test Planning, Test Data Acquisitions and Analysis, 19–36. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 2017. http://dx.doi.org/10.1520/stp159820160051.
Sengezer, Engin C., and Gary D. Seidel. "In-Situ Sensing of Deformation and Damage in Nanocomposite Bonded Surrogate Energetic Materials." In Conference Proceedings of the Society for Experimental Mechanics Series, 193–201. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41766-0_23.
Wilson, Cara C., Thomas Tueting, Debora Ma, Cathy Haluszczak, Michael Lotze, and Walter Storkus. "Activation of Dendritic Cells by Surrogate T Cell Interactions Leads to Enhanced Costimulation, Secretion of TH1-Associated Cytokines, and CTL Inductive Capacity." In Advances in Experimental Medicine and Biology, 335–43. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-9966-8_55.
Serai, Suraj D., and Meng Yin. "MR Elastography of the Abdomen: Basic Concepts." In Methods in Molecular Biology, 301–23. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_18.
Тези доповідей конференцій з теми "Surrogate experiments":
Pacheco, Jorge E., Cristina H. Amon, and Susan Finger. "Incorporating Information From Replications Into Bayesian Surrogate Models." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dtm-48644.
Alley, M. D., S. F. Son, Mark Elert, Michael D. Furnish, William W. Anderson, William G. Proud, and William T. Butler. "BLAST LOADING EXPERIMENTS OF SURROGATE MODELS FOR TBI SCENARIOS." In SHOCK COMPRESSION OF CONDENSED MATTER 2009: Proceedings of the American Physical Society Topical Group on Shock Compression of Condensed Matter. AIP, 2009. http://dx.doi.org/10.1063/1.3295069.
Kelly, Sean, and Corin Segal. "Experiments in Thermosensitive Cavitation of a Cryogenic Rocket Propellant Surrogate." In 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1283.
Amborn, Ericka K., Karim H. Muci-Küchler, and Brandon J. Hinz. "Experimental and Numerical Study of Soft Tissue Surrogate Behavior Under Ballistic Loading." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85724.
Booker, Andrew, Paul Frank, J. Dennis, Jr., Douglas Moore, and David Serafini. "Managing surrogate objectives to optimize a helicopter rotor design - Further experiments." In 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-4717.
Palar, Pramudita S., and Koji Shimoyama. "Kriging with Composite Kernel Learning for Surrogate Modeling in Computer Experiments." In AIAA Scitech 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-2209.
Viana, Felipe A. C., Christian Gogu, and Raphael T. Haftka. "Making the Most Out of Surrogate Models: Tricks of the Trade." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28813.
Grimm, Matthew V., Karim H. Muci-Küchler, Brandon J. Hinz, and Shawn M. Walsh. "Comparison of Numerical and Experimental Results of Small Scale Compressed Gas Blast Experiments Involving a Surrogate Head Form." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87663.
Doty, John. "Multi-Variate Designed Experiments for Development of a Wing Weight Surrogate Model." In 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-5.
Bartram, Gregory W., Ricardo Perez, and Benjamin P. Smarslok. "Surrogate Modeling of Full-Field Pressure Measurements from Supersonic Wind Tunnel Experiments." In 18th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-0430.
Звіти організацій з теми "Surrogate experiments":
Cooper, W. E. Implementation Plan: Jasper Management Prestart Review (Surrogate Material Experiments). Office of Scientific and Technical Information (OSTI), September 2000. http://dx.doi.org/10.2172/792744.
Cooper, W. E. Plan of Action: JASPER Management Prestart Review (Surrogate Material Experiments). Office of Scientific and Technical Information (OSTI), September 2000. http://dx.doi.org/10.2172/791434.
Elliott, J. Hydra modeling of experiments to study ICF capsule fill hole dynamics using surrogate targets. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/925990.
Escher, J., J. Burke, F. Dietrich, S. Lesher, N. Scielzo, I. Thompson, and W. Younes. Cross Sections for Neutron-induced Reactions on Actinide Targets Extracted from Surrogate Experiments: A Status Report. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/971410.
Hart, Carl R., D. Keith Wilson, Chris L. Pettit, and Edward T. Nykaza. Machine-Learning of Long-Range Sound Propagation Through Simulated Atmospheric Turbulence. U.S. Army Engineer Research and Development Center, July 2021. http://dx.doi.org/10.21079/11681/41182.
Williams, Brian J. Tractable Experiment Design via Mathematical Surrogates. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1239923.
Cooper, W. E. Plan of Action: JASPER Management Prestart Review (Surrogate Material Experiment). Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/15006162.
Connolly, Michael. Aluminum Clad Spent Nuclear Fuel Task 6: Surrogate Sample Preparation and Validation Experiment Test Plan. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1469390.
Moore, Derek, Joshua Goliber, Dustin Isereau, and Michael Gudaitis. Surrogate Joint Aerial Layer Network (JALN) Experiment: Applications of Commercial-Off-The-Shelf Technologies for Researching Future JALN Challenges. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada616812.
Burke, J. T., R. O. Hughes, J. E. Escher, N. D. Scielzo, R. J. Casperson, J. J. Ressler, A. Saastamoinen, et al. Zirconium and Yttrium (p, d) Surrogate Nuclear Reactions: Measurement and determination of gamma-ray probabilities: Experimental Physics Report. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1400082.