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Relevant bibliographies by topics / Calibration robustness

Academic literature on the topic 'Calibration robustness'

Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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Dissertations / Theses
Book chapters
Conference papers
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Journal articles on the topic "Calibration robustness"

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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.

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Regular maintenance of (multivariate) near infrared (NIR) calibration models is a crucial but time-consuming step to ensure a successful NIR application in industry. Naturally, robustness of these models is essential to minimise both maintenance time and cost. In this paper, a method combining Taguchi philosophy, experimental design and artificially-derived spectra, is proposed to evaluate and improve the robustness of NIR calibrations. This approach is based upon a typical industrial NIR application, the determination of hydroxyl value of ester products. Experiments have been designed to investigate which parameters (control and signal) influence the performance of the calibration. Two calibration models have been selected for the robustness investigation. One benchmark model was based on general criteria applied for NIR calibration and another based on Taguchi's criteria. Artificially-derived spectra were produced by adding severe fluctuations of simulated wavelength shifts into original spectra for both models, then, the models' performance was evaluated six months after the calibration. The model selected based on Taguchi's criteria, is clearly more tolerant to wavelength shifts and less sensitive for overfitting in comparison with the “benchmark” model.

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Guthrie, 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.

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The soluble solids content of intact fruit can be measured non-invasively by near infrared spectroscopy, allowing “sweetness” grading of individual fruit. However, little information is available in the literature with respect to the robustness of such calibrations. We developed calibrations based on a restricted wavelength range (700–1100 nm), suitable for use with low-cost silicon detector systems, using a stepwise multiple linear regression routine. Calibrations for total soluble solids (°Brix) in intact pineapple fruit were not transferable between summer and winter growing seasons. A combined calibration (data of three harvest dates) validated reasonably well against a population set drawn from all harvest dates ( r2 = 0.72, SEP = 1.84 °Brix). Calibrations for Brix in melon were transferable between two of the three varieties examined. However, a lack of robustness of calibration was indicated by poor validation within populations of fruit harvested at different times. Further work is planned to investigate the robustness of calibration across varieties, growing districts and seasons.

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Xia, 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.

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We describe an effective method for calibrating cameras by using planar calibration patterns. The calibration pattern control points are localized by Harris detector incorporating the gradient histogram. The accuracy of the calibration control points location consequently improves the accuracy of the camera calibration. Additionally, optimization computation is carried out for increasing the accuracy of camera calibration results. Experiments using real images verified the effectiveness and robustness of the proposed method.

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Stevens, 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.

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Purpose – Numerical models are being increasingly relied upon to evaluate wind turbine performance by simulating phenomena that are infeasible to measure experimentally. These numerical models, however, require a large number of input parameters that often need to be calibrated against available experiments. Owing to the unavoidable scarcity of experiments and inherent uncertainties in measurements, this calibration process may yield non-unique solutions, i.e. multiple sets of parameters may reproduce the available experiments with similar fidelity. The purpose of this paper is to study the trade-off between fidelity to measurements and the robustness of this fidelity to uncertainty in calibrated input parameters. Design/methodology/approach – Here, fidelity is defined as the ability of the model to reproduce measurements and robustness is defined as the allowable variation in the input parameters with which the model maintains a predefined level of threshold fidelity. These two vital attributes of model predictiveness are evaluated in the development of a simplified finite element beam model of the CX-100 wind turbine blade. Findings – Findings of this study show that calibrating the input parameters of a numerical model with the sole objective of improving fidelity to available measurements degrades the robustness of model predictions at both tested and untested settings. A more optimal model may be obtained by calibration methods considering both fidelity and robustness. Multi-criteria Decision Making further confirms the conclusion that the optimal model performance is achieved by maintaining a balance between fidelity and robustness during calibration. Originality/value – Current methods for model calibration focus solely on fidelity while the authors focus on the trade-off between fidelity and robustness.

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Melfsen, 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.

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The robustness of in-line raw milk analysis with near-infrared spectroscopy (NIRS) was tested with respect to the prediction of the raw milk contents fat, protein and lactose. Near-infrared (NIR) spectra of raw milk (n = 3119) were acquired on three different farms during the milking process of 354 milkings over a period of six months. Calibration models were calculated for: a random data set of each farm (fully random internal calibration); first two thirds of the visits per farm (internal calibration); whole datasets of two of the three farms (external calibration), and combinations of external and internal datasets. Validation was done either on the remaining data set per farm (internal validation) or on data of the remaining farms (external validation). Excellent calibration results were obtained when fully randomised internal calibration sets were used for milk analysis. In this case, RPD values of around ten, five and three for the prediction of fat, protein and lactose content, respectively, were achieved. Farm internal calibrations achieved much poorer prediction results especially for the prediction of protein and lactose with RPD values of around two and one respectively. The prediction accuracy improved when validation was done on spectra of an external farm, mainly due to the higher sample variation in external calibration sets in terms of feeding diets and individual cow effects. The results showed that further improvements were achieved when additional farm information was added to the calibration set. One of the main requirements towards a robust calibration model is the ability to predict milk constituents in unknown future milk samples. The robustness and quality of prediction increases with increasing variation of, e.g., feeding and cow individual milk composition in the calibration model.

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Huang, 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.

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Guerra, 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.

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Chesi, 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.

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Effects of camera calibration errors on the point-to-point task are investigated in static-eye and hand-eye visual servoing realized with position-based and image-based control laws. For these four configurations, the effect of uncertainty on the extrinsic parameters is analyzed. The results show local stability for all configurations under small calibration errors. However, a steady state error is found in the hand-eye position-based configuration. Simulations have been done to confirm the theoretical results and evaluate the effects of the uncertainty in terms of stability region. Another contribution of the paper consists of providing a method for estimating the stability region robust against uncertainty directions for the static-eye position-based case with uncertainty on the camera centers.

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Buchanan, 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.

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Optical-fiber measurements coupled with near-infrared analysis is used to predict the ethanol content of wine samples to within ±0.33 volume percent. Because telecommunications-grade optical fibers are used, the wavelength range is limited and the signal-to-noise ratio is an order of magnitude less than that for conventional near-infrared measurements. These features prompted the use of partial least-squares (PLS) as the calibration algorithm. PLS provides robust calibrations that are based upon the entire spectrum. The problem of extreme samples not being represented in the calibration model is discussed and illustrated. Also, the robustness of the PLS calibration is demonstrated. Spectral reconstruction is used to help assign the bands in the wavelength range used.

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Coron, 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.

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Abstract. This paper investigates the robustness of rainfall–runoff models when their parameters are transferred in time. More specifically, we propose an approach to diagnose their ability to simulate water balance on periods with different hydroclimatic characteristics. The testing procedure consists in a series of parameter calibrations over 10 yr periods and the systematic analysis of mean flow volume errors on long records. This procedure was applied to three conceptual models of increasing structural complexity over 20 mountainous catchments in southern France. The results showed that robustness problems are common. Errors on 10 yr mean flow volume were significant for all calibration periods and model structures. Various graphical and numerical tools were used to investigate these errors and unexpectedly strong similarities were found in the temporal evolutions of these volume errors. We indeed showed that relative changes in simulated mean flow between 10 yr periods can remain similar, regardless of the calibration period or the conceptual model used. Surprisingly, using longer records for parameters optimisation or using a semi-distributed 19-parameter daily model instead of a simple 1-parameter annual formula did not provide significant improvements regarding these simulation errors on flow volumes. While the actual causes for these robustness problems can be manifold and are difficult to identify in each case, this work highlights that the transferability of water balance adjustments made during calibration can be poor, with potentially huge impacts in the case of studies in non-stationary conditions.

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More sources

Dissertations / Theses on the topic "Calibration robustness"

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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.

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Meyer, 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.

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Bou, 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.

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Gianopulos, 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.

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Coron, 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.

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Les hydrologues sont questionnés au sujet de l'évolution à moyen et long terme de la ressource en eau. Pour répondre à ces questions, ils ont recours à des modèles hydrologiques. Une quantification des incertitudes associées à leurs projections leur est souvent demandée et pose la question de la robustesse de ces modèles conceptuels, notamment dans le contexte d'un climat en évolution. En effet, l'utilisation d'un modèle dans des conditions différentes de celles où il a été calé repose sur une hypothèse de transférabilité des paramètres, c'est-à-dire la possibilité d'utiliser les paramètres d'un modèle dans des conditions différentes de celles de saconstruction. Nous traitons cette problématique en tentant d'apporter des éléments de réponse aux questions suivantes :* Quel est le niveau de robustesse des modèles hydrologiques conceptuels face à des conditions climatiques variables ?* Quelles sont les causes des situations de manque de robustesse et y a-t-il des façons de s'en prémunir ?Nous y répondons à travers l'étude des performances de modèles conceptuels lors de nombreux tests de transfert temporel de leurs paramètres. Les résultats montrent des corrélations entre les problèmes de robustesse et les écarts de conditions climatiques entre les périodes de calage et de validation des modèles. Des situations de biais systématiques corrélés à des changements de température de l'air ressortent en particulier de ces analyses. Une hétérogénéité existe cependant sur notre échantillon, les variables climatiques ou le type d'erreurs associées aux problèmes détectés pouvant varier d'un bassin à un autre.L'étude des biais de simulation sur les bassins où les modèles ne sont pas robustes montre des alternances de phases de sous-estimation et surestimation des débits, le biais sur le module décennal pouvant atteindre 20%. Nos travaux révèlent que des comportements très similaires sont obtenus pour diverses périodes et méthodes de calage. Pour les modèles conceptuels utilisés dans ces travaux, les problèmes de robustesse détectés ne résultent pas simplement de quelques "mauvais" calages conduisant à la sélection de paramètres inadaptés pour reproduire le comportement du bassin considéré. Ils semblent plutôt découler de difficultés générales de ces outils de modélisation à reproduire convenablement les bilans moyens de façon simultanée sur différentes périodes.Ces travaux ouvrent des pistes de réflexion sur la capacité insuffisante de certains modèles hydrologiques conceptuels à reproduire des dynamiques basse fréquence et sur le rôle des erreurs d'estimation des forçages, notamment les variations temporelles de l'évapotranspiration, dans les situations de modélisation incorrecte.

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Lepine, 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.

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Les travaux de la présente thèse portent sur le recalage de modèles dynamiques d’aubes de turbinecomposites à matrice céramique. Ils s’inscrivent dans le cadre de la quantification d’incertitudes pour la validation de modèles et ont pour objectif de fournir des outils d’aide à la décision pour les ingénieurs desbureaux d’études. En effet, la dispersion importante observée lors des campagnes expérimentales invalidel’utilisation des méthodes de recalage déterministe. Après un état de l’art sur la relation entre les incertitudeset la physique, l’approche de Vérification & Validation a été introduite comme approche permettantd’assurer la crédibilité des modèles numériques. Puis, deux méthodes de recalages stochastiques, permettantde déterminer la distribution statistique des paramètres, ont été comparées sur un cas académique. La priseen compte des incertitudes n’élude pas les potentielles compensations entre paramètres. Par conséquent, desindicateurs ont été développés afin de détecter la présence de ces phénomènes perturbateurs. Ensuite, lathéorie info-gap a été employée en tant que moyen de modéliser ces méconnaissances. Une méthode derecalage stochastique robuste a ainsi été proposée, assurant un compromis entre la fidélité du modèle auxessais et la robustesse aux méconnaissances. Ces outils ont par la suite été appliqués sur un modèle éléments
This 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

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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.

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Models are important tools for understanding the hydrological processes that govern water transport in the landscape and for prediction at times and places where no observations are available. The degree of trust placed on models, however, should not exceed the quality of the data they are fed with. The overall aim of this thesis was to tune the modeling process to account for the uncertainty in the data, by identifying robust parameter values using methods from computational geometry. The methods were developed and tested on data from the Choluteca River basin in Honduras. Quality control of precipitation and discharge data resulted in a rejection of 22% percent of daily raingage data and the complete removal of one out of the seven discharge stations analyzed. The raingage network was not found sufficient to capture the spatial and temporal variability of precipitation in the Choluteca River basin. The temporal variability of discharge was evaluated through a Monte Carlo assessment of the rating-equation parameter values over a moving time window of stage-discharge measurements. Al hydrometric stations showed considerable temporal variability in the stage-discharge relationship, which was largest for low flows, albeit with no common trend. The problem with limited data quality was addressed by identifying robust model parameter values within the set of well-performing (behavioral) parameter-value vectors with computational-geometry methods. The hypothesis that geometrically deep parameter-value vectors within the behavioral set were hydrologically robust was tested, and verified, using two depth functions. Deep parameter-value vectors tended to perform better than shallow ones, were less sensitive to small changes in their values, and were better suited to temporal transfer. Depth functions rank multidimensional data. Methods to visualize the multivariate distribution of behavioral parameters based on the ranked values were developed. It was shown that, by projecting along a common dimension, the multivariate distribution of behavioral parameters for models of varying complexity could be compared using the proposed visualization tools. This has a potential to aid in the selection of an adequate model structure considering the uncertainty in the data. These methods allowed to quantify observational uncertainties. Geometric methods have only recently begun to be used in hydrology. It was shown that they can be used to identify robust parameter values, and some of their potential uses were highlighted.
Modeller 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.

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(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.

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Predictive 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.

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Book chapters on the topic "Calibration robustness"

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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.

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Mehrtens, 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.

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Zhang, 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.

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Scandola, 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.

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Chang, 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.

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Tate, 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.

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Brown, 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.

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Esposito, 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.

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"9. Calibrating misspecification fears with detection error probabilities." In Robustness, 213–22. Princeton University Press, 2008. http://dx.doi.org/10.1515/9781400829385-011.

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Schmitz, 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.

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Histogram-based watermarking schemes are invariant to pixel permutations and can thus be combined with permutation-based ciphers to form a commutative watermarking-encryption scheme. In this chapter, the authors demonstrate the feasibility of this approach for audio data and still image data. Typical histogram-based watermarking schemes based on comparison of histogram bins are prone to desynchronization attacks, where the whole histogram is shifted by a certain amount. These kind of attacks can be avoided by synchronizing the embedding and detection processes, using the mean of the histogram as a calibration point. The resulting watermarking scheme is resistant to three common types of shifts of the histogram, while the advantages of previous histogram-based schemes, especially commutativity of watermarking and permutation-based encryption, are preserved. The authors also report on the results of testing robustness of the still image watermark against JPEG and JPEG2000 compression and on the possibility of using histogram-based watermarks for authenticating the content of an image.

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Conference papers on the topic "Calibration robustness"

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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.

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Moser, 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.

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Sirisantisamrid, 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.

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Borhan, 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.

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In this paper, a systematic model-based calibration framework basing on robust design optimization technique is developed for engine control system. In this framework, the control system is calibrated in an optimization fashion where both performance and robustness of the closed-loop system to uncertainties are optimized. The proposed calibration process has three steps; in the first step, the optimal performance of the system at the nominal conditions where the effects of uncertainties are ignored is computed by formulation of the controller calibration as an optimization problem. The capabilities of the controller are fully explored at nominal conditions. In the second step, the robustness and sensitivity of a selected control design to the system uncertainties is analyzed using Monte Carlo simulation. In the third step, robust design optimization is applied to optimize both performance and robustness of the closed-loop system to the uncertainties. The robustness capabilities of the controller are fully explored and the one that satisfies both performance and robustness requirements is selected. This process is implemented for the calibration of an advanced Diesel air path control system with a Variable Geometry Turbocharge (VGT) and dual loop EGR architecture.

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Kroodsma, 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.

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Anex, 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.

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Antonini, 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.

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Singh, 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.

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Groves, 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.

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Pi, 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.

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Reports on the topic "Calibration robustness"

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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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This study outlines a computational framework to enhance the spatial granularity of government-published poverty estimates, citing data from the Philippines and Thailand. Computer vision techniques were applied on publicly available medium resolution satellite imagery, household surveys, and census data from the two countries. The results suggest that even using publicly accessible satellite imagery, predictions generally aligned with the distributional structure of government-published poverty estimates after calibration. The study further examines the robustness of the resulting estimates to user-specified algorithmic parameters and model specifications.

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