Academic literature on the topic 'Calibration robustness'
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Journal articles on the topic "Calibration robustness"
Wortel, V. A. L., W. G. Hansen, and S. C. C. Wiedemann. "Optimising Multivariate Calibration by Robustness Criteria." Journal of Near Infrared Spectroscopy 9, no. 2 (March 2001): 141–51. http://dx.doi.org/10.1255/jnirs.301.
Full textGuthrie, John, Brett Wedding, and Kerry Walsh. "Robustness of NIR Calibrations for Soluble Solids in Intact Melon and Pineapple." Journal of Near Infrared Spectroscopy 6, no. 1 (January 1998): 259–65. http://dx.doi.org/10.1255/jnirs.145.
Full textXia, Dan, De Hua Li, and Sheng Yong Xu. "Efficient and Accurate Camera Calibration Based on Planar Pattern." Advanced Materials Research 204-210 (February 2011): 1258–61. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1258.
Full textStevens, Garrison, Kendra Van Buren, Elizabeth Wheeler, and Sez Atamturktur. "Evaluating the fidelity and robustness of calibrated numerical model predictions." Engineering Computations 32, no. 3 (May 5, 2015): 621–42. http://dx.doi.org/10.1108/ec-09-2013-0217.
Full textMelfsen, Andreas, Eberhard Hartung, and Angelika Haeussermann. "Robustness of near-infrared calibration models for the prediction of milk constituents during the milking process." Journal of Dairy Research 80, no. 1 (November 27, 2012): 103–12. http://dx.doi.org/10.1017/s0022029912000672.
Full textHuang, J., D. Brennan, L. Sattler, J. Alderman, B. Lane, and C. O'Mathuna. "A comparison of calibration methods based on calibration data size and robustness." Chemometrics and Intelligent Laboratory Systems 62, no. 1 (April 2002): 25–35. http://dx.doi.org/10.1016/s0169-7439(01)00211-8.
Full textGuerra, Maria Letizia, and Laerte Sorini. "Testing robustness in calibration of stochastic volatility models." European Journal of Operational Research 163, no. 1 (May 2005): 145–53. http://dx.doi.org/10.1016/j.ejor.2004.01.004.
Full textChesi, Graziano, and Koichi Hashimoto. "Configuration and Robustness in Visual Servo." Journal of Robotics and Mechatronics 16, no. 2 (April 20, 2004): 178–85. http://dx.doi.org/10.20965/jrm.2004.p0178.
Full textBuchanan, B. R., D. E. Honigs, Cynthia J. Lee, and William Roth. "Detection of Ethanol in Wines Using Optical-Fiber Measurements and Near-Infrared Analysis." Applied Spectroscopy 42, no. 6 (August 1988): 1106–11. http://dx.doi.org/10.1366/0003702884430245.
Full textCoron, L., V. Andréassian, C. Perrin, M. Bourqui, and F. Hendrickx. "On the lack of robustness of hydrologic models regarding water balance simulation: a diagnostic approach applied to three models of increasing complexity on 20 mountainous catchments." Hydrology and Earth System Sciences 18, no. 2 (February 21, 2014): 727–46. http://dx.doi.org/10.5194/hess-18-727-2014.
Full textDissertations / Theses on the topic "Calibration robustness"
Kramer, Kirsten Elizabeth. "Improving the robustness of multivariate calibration models for the determination of glucose by near-infrared spectroscopy." Diss., University of Iowa, 2005. http://ir.uiowa.edu/etd/99.
Full textMeyer, Jason. "Calibration reduction in internal combustion engine fueling control: modeling, estimation and stability robustness." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306682834.
Full textBou, Sleiman Sleiman. "Built-in-Self-Test and Digital Self-Calibration for Radio Frequency Integrated Circuits." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1311685013.
Full textGianopulos, Garron. "The robustness of Rasch true score preequating to violations of model assumptions under equivalent and nonequivalent populations." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002646.
Full textCoron, Laurent. "Les modèles hydrologiques conceptuelssont-ils robustes face à un climat en évolution ? Diagnostic sur un échantillon de bassins versants français et australiens." Phd thesis, AgroParisTech, 2013. http://pastel.archives-ouvertes.fr/pastel-00879090.
Full textLepine, Paul. "Recalage stochastique robuste d'un modèle d'aube de turbine composite à matrice céramique." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCD051/document.
Full textThis work is focused on the stochastic updating of ceramic matrix composite turbine blade model. They arepart of the uncertainty quantification framework for model validation. The aim is to enhance the existing toolused by the industrial decision makers. Indeed, consequent dispersion was measured during the experimentalcampaigns preventing the use of deterministic approaches. The first part of this thesis is dedicated to therelationship between mechanical science and uncertainty. Thus, Verification and Validation was introduced asthe processes by which credibility in numerical models is established. Then two stochastic updatingtechniques, able to handle statistic distribution, were compared through an academic example. Nevertheless,taking into account uncertainties doesn’t remove potential compensating effects between parameters.Therefore, criteria were developed in order to detect these disturbing phenomena. Info-gap theory wasemployed as a mean to model these lack of knowledge. Paired with the stochastic updating method, a robuststochasticapproach has been proposed. Results demonstrate a trade-off relationship between the model’sfidelity and robustness. The developed tools were applied on a ceramic matrix composite turbine blade finiteelement model
Guerrero, José-Luis. "Robust Water Balance Modeling with Uncertain Discharge and Precipitation Data : Computational Geometry as a New Tool." Doctoral thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-190686.
Full textModeller är viktiga verktyg för att förstå de hydrologiska processer som bestämmer vattnets transport i landskapet och för prognoser för tider och platser där det saknas mätdata. Graden av tillit till modeller bör emellertid inte överstiga kvaliteten på de data som de matas med. Det övergripande syftet med denna avhandling var att anpassa modelleringsprocessen så att den tar hänsyn till osäkerheten i data och identifierar robusta parametervärden med hjälp av metoder från beräkningsgeometrin. Metoderna var utvecklade och testades på data från Cholutecaflodens avrinningsområde i Honduras. Kvalitetskontrollen i nederbörds- och vattenföringsdata resulterade i att 22 % av de dagliga nederbördsobservationerna måste kasseras liksom alla data från en av sju analyserade vattenföringsstationer. Observationsnätet för nederbörd befanns otillräckligt för att fånga upp den rumsliga och tidsmässiga variabiliteten i den övre delen av Cholutecaflodens avrinningsområde. Vattenföringens tidsvariation utvärderades med en Monte Carlo-skattning av värdet på parametrarna i avbördningskurvan i ett rörligt tidsfönster av vattenföringsmätningar. Alla vattenföringsstationer uppvisade stor tidsvariation i avbördningskurvan som var störst för låga flöden, dock inte med någon gemensam trend. Problemet med den måttliga datakvaliteten bedömdes med hjälp av robusta modellparametervärden som identifierades med hjälp av beräkningsgeometriska metoder. Hypotesen att djupa parametervärdesuppsättningar var robusta testades och verifierades genom två djupfunktioner. Geometriskt djupa parametervärdesuppsättningar verkade ge bättre hydrologiska resultat än ytliga, var mindre känsliga för små ändringar i parametervärden och var bättre lämpade för förflyttning i tiden. Metoder utvecklades för att visualisera multivariata fördelningar av välpresterande parametrar baserade på de rangordnade värdena. Genom att projicera längs en gemensam dimension, kunde multivariata fördelningar av välpresterande parametrar hos modeller med varierande komplexitet jämföras med hjälp av det föreslagna visualiseringsverktyget. Det har alltså potentialen att bistå vid valet av en adekvat modellstruktur som tar hänsyn till osäkerheten i data. Dessa metoder möjliggjorde kvantifiering av observationsosäkerheter. Geometriska metoder har helt nyligen börjat användas inom hydrologin. I studien demonstrerades att de kan användas för att identifiera robusta parametervärdesuppsättningar och några av metodernas potentiella användningsområden belystes.
(12271705), John Austin Guthrie. "Robustness of NIR calibrations for assessing fruit quality." Thesis, 2005. https://figshare.com/articles/thesis/Robustness_of_NIR_calibrations_for_assessing_fruit_quality/21454485.
Full textPredictive models based on near infra-red spectroscopy for the assessment of fruit internal quality attributes must exhibit a degree of robustness across the parameters of variety, district and time to be of practical use in fruit grading. At the time this thesis was initiated, while there were a number of published reports on the development of near infra-red based calibration models for the assessment of internal quality attributes of intact fruit, there were no reports of the reliability ("robustness") of such models across time, cultivars or growing regions. As existing published reports varied in instrumentation employed, a re-analysis of existing data was not possible.
An instrument platform, based on partial transmittance optics, a halogen light source and a (Zeiss MMS1) detector operating in the short wavelength near infra-red region was developed for use in the assessment of intact fruit. This platform was used to assess populations of macadamia kernels, melons and mandarin fruit for total soluble solids, dry matter and oil concentration. Calibration procedures were optimised and robustness assessed across growing areas, time of harvest, season and variety. In general, global modified partial least squares regression (MPLS) calibration models based on derivatised absorbance data were better than either multiple linear regression or 'local' MPLS models in the prediction of independent validation populations. Robustness was most affected by growing season, relative to the growing district or variety. Various calibration updating procedures were evaluated in terms of calibration robustness. Random selection of samples from the validation population for addition to the calibration population was equivalent to or better than other methods of sample addition (methods based on the Mahalanobis distance of samples from either the centroid of the population or neighbourhood samples). In these exercises the global Mahalanobis distance (GH) was calculated using the scores and loadings from the calibration population on the independent validation population. In practice, it is recommended that model predictive performance be monitored in terms of predicted sample GH, with model updating using as few as 10 samples from the new population undertaken when the average GH value exceeds 1.0.
Book chapters on the topic "Calibration robustness"
Cygert, Sebastian, and Andrzej Czyżewski. "Evaluating Calibration and Robustness of Pedestrian Detectors." In Communications in Computer and Information Science, 98–111. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59000-0_8.
Full textMehrtens, Hendrik Alexander, Camila Gonzalez, and Anirban Mukhopadhyay. "Improving Robustness and Calibration in Ensembles with Diversity Regularization." In Lecture Notes in Computer Science, 36–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16788-1_3.
Full textZhang, Jun, Wen Yao, Xiaoqian Chen, and Ling Feng. "Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy." In Lecture Notes in Computer Science, 294–304. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16564-1_28.
Full textScandola, L., M. K. Werner, D. Maier, and W. Volk. "Optimization of the Calibration Process in Freeform Bending Regarding Robustness and Experimental Effort." In Lecture Notes in Production Engineering, 170–78. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18318-8_18.
Full textChang, T. C., A. Mozes, L. Arata, and W. Zhao. "A-Mode Ultrasound Bone Registration for Computer-Assisted Knee Surgery: Calibration and Robustness Test." In IFMBE Proceedings, 97–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01697-4_34.
Full textTate, Peter M., Vladimir Lachine, Liqun Fu, Haniel Croitoru, and Marwan Sati. "Performance and Robustness of Automatic Fluoroscopic Image Calibration in a New Computer Assisted Surgery System." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001, 1130–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45468-3_135.
Full textBrown, Steven D., HuWei Tan, and Robert Feudale. "Improving the Robustness of Multivariate Calibrations." In ACS Symposium Series, 15–30. Washington, DC: American Chemical Society, 2005. http://dx.doi.org/10.1021/bk-2005-0894.ch002.
Full textEsposito, E., M. Salvato, S. De Vito, G. Fattoruso, N. Castell, K. Karatzas, and G. Di Francia. "Assessing the Relocation Robustness of on Field Calibrations for Air Quality Monitoring Devices." In Lecture Notes in Electrical Engineering, 303–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66802-4_38.
Full text"9. Calibrating misspecification fears with detection error probabilities." In Robustness, 213–22. Princeton University Press, 2008. http://dx.doi.org/10.1515/9781400829385-011.
Full textSchmitz, Roland, Shujun Li, Christos Grecos, and Xinpeng Zhang. "Commutative Watermarking-Encryption of Multimedia Data Based on Histograms." In Intelligent Innovations in Multimedia Data Engineering and Management, 141–63. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7107-0.ch006.
Full textConference papers on the topic "Calibration robustness"
Abraham, Jay. "Promoting the Robustness of Calibration-Based Computations." In SAE 2012 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2012. http://dx.doi.org/10.4271/2012-01-0030.
Full textMoser, Kenneth R., and J. Edward Swan. "[POSTER] Improved SPAAM Robustness through Stereo Calibration." In 2015 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). IEEE, 2015. http://dx.doi.org/10.1109/ismar.2015.64.
Full textSirisantisamrid, Kaset, Takenobu Matsuura, and Kitti Tirasesth. "Determination of Initial Parameters with Noise Robustness for Coplanar Calibration." In TENCON 2006 - 2006 IEEE Region 10 Conference. IEEE, 2006. http://dx.doi.org/10.1109/tencon.2006.343939.
Full textBorhan, Hoseinali, and Edmund Hodzen. "A Robust Design Optimization Framework for Systematic Model-Based Calibration of Engine Control System." In ASME 2014 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icef2014-5453.
Full textKroodsma, Rachael, Darren McKague, and Christopher Ruf. "Robustness of the vicarious cold calibration algorithm in the double difference method for GPM inter-calibration." In IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6049613.
Full textAnex, Robert P., Lei Gu, and Matthew Helmers. "Reliability of RZWQM model predictions: Model calibration for performance and robustness." In 2018 Detroit, Michigan July 29 - August 1, 2018. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2018. http://dx.doi.org/10.13031/aim.201800369.
Full textAntonini, Chiara, Sara Calandrini, Fabrizio Stracci, Claudio Dario, and Fortunato Bianconi. "Dynamical modeling, calibration and robustness analysis of COVID-19 using Italian data." In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2020. http://dx.doi.org/10.1109/bibe50027.2020.00079.
Full textSingh, Keshav D., and Christian Nansen. "Advanced calibration to improve robustness of drone-acquired hyperspectral remote sensing data." In 2017 6th International Conference on Agro-Geoinformatics. IEEE, 2017. http://dx.doi.org/10.1109/agro-geoinformatics.2017.8047061.
Full textGroves, Leah, Adam Rankin, Terry M. Peters, and Elvis C. S. Chen. "The effect of imaging and tracking parameters on ultrasound probe calibration robustness." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Baowei Fei and Cristian A. Linte. SPIE, 2019. http://dx.doi.org/10.1117/12.2513057.
Full textPi, Jimin, and Bertram E. Shi. "Task-embedded online eye-tracker calibration for improving robustness to head motion." In ETRA '19: 2019 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3314111.3319845.
Full textReports on the topic "Calibration robustness"
Hofer, Martin, Tomas Sako, Arturo Martinez Jr., Mildred Addawe, Joseph Bulan, Ron Lester Durante, and Marymell Martillan. Applying Artificial Intelligence on Satellite Imagery to Compile Granular Poverty Statistics. Asian Development Bank, December 2020. http://dx.doi.org/10.22617/wps200432-2.
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