Relevant bibliographies by topics / Sensitivity calibration

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sensitivity calibration'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Sensitivity calibration"

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Peiman, Reihaneh, and Keith Clarke. "The Impact of Data Time Span on Forecast Accuracy through Calibrating the SLEUTH Urban Growth Model." International Journal of Applied Geospatial Research 5, no. 3 (July 2014): 21–35. http://dx.doi.org/10.4018/ijagr.2014070102.

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Does the spacing of time intervals used for model input data have an impact on the model's subsequent calibration and so projections of land use change and urban growth? This study evaluated the performance of the SLEUTH urban growth and land use change model through two independent model calibrations with different temporal extents (1972 to 2006 vs. 2000 to 2006) for the historical Italian cities of Pisa Province and their surroundings. The goal in performing two calibrations was to investigate the sensitivity of SLEUTH forecasts to longer or shorter calibration timelines, that is does calibrating the model over a longer time period produce better model fits and therefore forecasts? The best fit parameters from each calibration were then used in forecasting urban growth in the area up to the year 2027. The authors findings show that the spatial growth estimated by the model was strongly influenced by the physical landscape and road networks. The forecast outputs over 100 Monte Carlo trials reflect the start of newly formed detached settlements towards and along existing roads, i.e., classic urban sprawl. The authors conclude that the short term calibration was a better model fit compared to the long term calibration. Nevertheless, the absolute preference for the short-term calibration over long-term implies that time-sensitivity in calibration remains a challenge for SLEUTH applications.
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Paans, Anne M. J., and Daniel W. Lamotte. "Sensitivity and cross calibration." European Journal of Nuclear Medicine 15, no. 11 (1989): 756–60. http://dx.doi.org/10.1007/bf00631771.

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Kaizerman, S., G. Zak, B. Benhabib, and R. G. Fenton. "A Sensitivity Analysis Based Method for Robot Calibration." Journal of Mechanical Design 116, no. 2 (June 1, 1994): 607–13. http://dx.doi.org/10.1115/1.2919421.

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A new robot kinematic calibration procedure is presented. The parameters of the kinematic model are estimated through a relationship established between the deviations in the joint variables and the deviations in the model parameters. Thus, the new method can be classified as an inverse calibration procedure. Using suitable sensitivity analysis methods, the matrix of the partial derivatives of joint variables with respect to robot parameters is calculated without having explicit expressions of joint variables as a function of task space coordinates (closed inverse kinematic solution). This matrix provides the relationship between the changes in the joint variables and the changes in the parameter values required for the calibration. Two deterministic sensitivity analysis methods are applied, namely the Direct Sensitivity Approach and the Adjoint Sensitivity Method. The new calibration procedure was successfully tested by the simulated calibrations of a two-degree-of-freedom revolute-joint planar manipulator.
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Piedehierro, A. A., M. L. Cancillo, J. M. Vilaplana, and A. Serrano. "Long-Term Global Irradiance Calibration of Multifilter UV Radiometers." Journal of Atmospheric and Oceanic Technology 36, no. 12 (December 2019): 2415–27. http://dx.doi.org/10.1175/jtech-d-18-0132.1.

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AbstractMultifilter instruments such as the Norwegian Institute for Air Research (NILU)-UV Irradiance Meter (NILU-UV) are suitable for long-term monitoring of UV radiation, as long as their irradiance scale is maintained. The sensitivity of these instruments varies with time; thus, periodic standard absolute calibrations are required. However, standard calibrations may be insufficient to characterize the short-term variations of channels sensitivity. Therefore, results from standard calibrations have to be combined with the information derived from frequent relative calibrations, leading to a stable irradiance scale. This paper focuses on the long-term application of three calibration methods, hereinafter referred to as CC, CC2, and CC2(ϕ), as applied to the NILU-UV 119 multifilter radiometer. Here a generalization is proposed, consisting of using empirical functions in order to guarantee the accurate calibration of multifilter instruments over long time periods. These function-based methods need to be updated regularly to account for changes on instrument sensitivity. The changes in sensitivity of the NILU-UV 119 were found to be channel dependent. The detected drifts range from 23% to 42% for a 4-yr period of study. Time series of calibrated irradiance are obtained by applying the proposed methods. Results suggest that calibration methods using empirical functions perform better than classic calibration approaches that use constant calibration factors. When methods CC2 and CC2(ϕ) are applied, calibrated irradiances agree with the measurements of reference within ±5% for channel 305 and within ±3% for channels 312, 320, and 340.
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Kouyama, Kato, Kikuchi, Sakuma, Miura, Tachikawa, Tsuchida, Obata, and Nakamura. "Lunar Calibration for ASTER VNIR and TIR with Observations of the Moon in 2003 and 2017." Remote Sensing 11, no. 22 (November 19, 2019): 2712. http://dx.doi.org/10.3390/rs11222712.

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The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), which is a multiband pushbroom sensor suite onboard Terra, has successfully provided valuable multiband images for approximately 20 years since Terra’s launch in 1999. Since the launch, sensitivity degradations in ASTER’s visible and near infrared (VNIR) and thermal infrared (TIR) bands have been monitored and corrected with various calibration methods. However, a unignorable discrepancy between different calibration methods has been confirmed for the VNIR bands that should be assessed with another reliable calibration method. In April 2003 and August 2017, ASTER observed the Moon (and deepspace) for conducting a radiometric calibration (called as lunar calibration), which can measure the temporal variation in the sensor sensitivity of the VNIR bands enough accurately (better than 1%). From the lunar calibration, 3–6% sensitivity degradations were confirmed in the VNIR bands from 2003 to 2017. Since the measured degradations from the other methods showed different trends from the lunar calibration, the lunar calibration suggests a further improvement is needed for the VNIR calibration. Sensitivity degradations in the TIR bands were also confirmed by monitoring the variation in the number of saturated pixels, which were qualitatively consistent with the onboard and vicarious calibrations.
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Wit, J. C., L. J. de Nooijer, C. Barras, F. J. Jorissen, and G. J. Reichart. "A reappraisal of the vital effect in cultured benthic foraminifer <I>Bulimina marginata</I> on Mg/Ca values: assessing temperature uncertainty relationships." Biogeosciences 9, no. 9 (September 27, 2012): 3693–704. http://dx.doi.org/10.5194/bg-9-3693-2012.

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Abstract. The reconstruction of past temperatures is often achieved through measuring the Mg/Ca value of foraminiferal test carbonate. The diversity in foraminiferal Mg/Ca–temperature calibrations suggests that there is also a biological control on this proxy. This study presents a new Mg/Ca–temperature calibration for the benthic foraminifer Bulimina marginata, based on cultures under a range of temperatures (4–14 °C). Measured Mg/Ca values for B. marginata correlate with temperature (Mg/Ca = (1.10 ± 0.10) e(0.045±0.009)T, R2 = 0.28 p < 0.01). The inter-individual variability is, however, also significant (standard deviation is 10–35% of the average). Before applying this or any calibration, the effect of the inter-individual variability on the accuracy of the Mg/Ca–temperature calibration has to be evaluated. The inter-individual variability is quantified and split into three components, namely (1) an analytical error, (2) an environmental effect and (3) a vital effect. The effect of inter-individual variability on the accuracy of Mg/Ca–temperature calibrations depends on the sensitivity of the calibration used and the number of individuals measured (temperature uncertainty = (0.33 · N−0.50)/sensitivity). The less sensitive a calibration, the greater is the impact of inter-individual variability, which can partly be circumvented by measuring more individuals. This study shows the link between inter-individual variability and sensitivity and quantifies their influence on the accuracy of Mg/Ca–temperature calibrations. Differences in the sensitivity of the Mg/Ca–temperature calibration of foraminifera may depend on the environmental conditions in which foraminifera live and their concurring ecological strategies.
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Hinz, Martin. "Sensitivity of Radiocarbon Sum Calibration." Journal of Computer Applications in Archaeology 3, no. 1 (August 12, 2020): 238. http://dx.doi.org/10.5334/jcaa.53.

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Wit, J. C., L. J. de Nooijer, C. Barras, F. Jorissen, and G. J. Reichart. "A reappraisal of the vital effect in benthic foraminifera on Mg/Ca ratios: species specific uncertainty relationships." Biogeosciences Discussions 9, no. 4 (April 24, 2012): 4947–77. http://dx.doi.org/10.5194/bgd-9-4947-2012.

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Abstract. The reconstruction of past temperatures is often achieved through measuring the Mg/Ca value of foraminiferal test carbonate. The diversity in foraminiferal Mg/Ca-temperature calibrations suggests that there is also a biological control on this proxy. This study presents a new Mg/Ca-temperature calibration for the benthic foraminifer Bulimina marginata, based on cultures under a range of temperatures (4–14 ° C). Measured Mg/Ca values for B. marginata correlate well with temperature (Mg/Ca = 1.10 ± 0.10e0.045 ± 0.009T, R2=0.28, p<0.01). The inter-individual variability is, however, also significant (standard deviation is 10–35 % of the average). Before applying this or any calibration, the effect of the inter-individual variability on the accuracy of the Mg/Ca-temperature calibration has to be evaluated. The inter-individual variability is quantified and split in three components, namely (1) an analytical error; (2) an environmental effect and (3) a vital effect. The effect of inter-individual variability on the accuracy of Mg/Ca-temperature calibrations is depending on the sensitivity of the used calibration and the number of individuals measured (Temperature uncertainty = (0.33 · N−0.50)/sensitivity). The less sensitive a calibration, the greater is the impact of inter-individual variability. This can partly be circumvented by measuring more individuals. Differences in sensitivity may depend on the stability of the environment in which the foraminifera live and the concurring ecological strategy. This study shows the link between inter-individual variability en sensitivity and their influence on the accuracy of \\Mg/Ca-temperature calibrations.
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Pesto, S., A. Koratkar, E. Blitz, and I. N. Evans. "Complete Atlases of Recalibrated Archival HST FOS Spectra of Quasars and AGN." International Astronomical Union Colloquium 159 (1997): 134–35. http://dx.doi.org/10.1017/s0252921100039816.

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The ionization structures of AGNs are determined by the specific ionization mechanisms and the shapes of the ionizing continua. The technique of using emission-line intensity ratios to classify objects and investigate their ionization mechanisms is enhanced significantly by combining high-quality UV and optical spectrophotometry. The HST archive is an excellent source of such data.The FOS spectra are recalibrated using the latest ‘average inverse sensitivity’ (AIS) calibration. This new method for flux calibrating FOS data (1) normalizes count data from all apertures to the 4”.3 aperture to account for changes of aperture throughput as a function of the Optical Telescope Assembly focus; (2) corrects the data for time-dependent detector sensitivity degradation; and (3) scales the data to the white-dwarf reference scale. The AIS calibration method has been developed over a period of several years, with improvements applied progressively based on observed deficiencies and/or discrepancies of the existing calibrations. Indeed, the final AIS calibration incorporates corrections in the wavelength overlap regions of adjacent gratings derived based on inconsistencies discovered as a result of this study of over 1000 FOS spectra.
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IWATA, Koichi, and Hiro-o. HAMAGUCHI. "Sensitivity calibration of multichannel raman spectrometers." Journal of the Spectroscopical Society of Japan 37, no. 2 (1988): 129–30. http://dx.doi.org/10.5111/bunkou.37.129.

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Dissertations / Theses on the topic "Sensitivity calibration"

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Monari, Filippo. "Sensitivity analysis and Bayesian calibration of building energy models." Thesis, University of Strathclyde, 2016. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=26897.

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The current state of the art of Building Energy Simulation (BES) lacks of a rigorous framework for the analysis, calibration and diagnosis of BES models. This research takes this deficiency as an opportunity for proposing a strongly mathematically based methodology serving such purposes, providing: a better consideration of the modelling uncertainties, means to reduce BES model complexity without oversimplification, and methods to test and select different modelling hypotheses depending on field observations. Global Sensitivity Analysis (GSA),Gaussian Process Regression (GPR) in a quasi-Bayesian set up and Markov ChainMonte Carlo (MCMC) methods are the foundations upon which the proposed framework is built. It couples deterministic BES models and stochastic blackbox models, thus having the physical and probabilistic representation of real phenomena complementing each other. It comprises four phases: Uncertainty Analysis, Sensitivity Analysis, Calibration, Model Selection. The framework was tested on a series of trials having increasing difficulty. Relatively simple preliminary experiments were used to develop the methodology and investigate strengths and weaknesses. They showed its capabilities in treating measurement uncertainties and model deficiencies, but also that these aspects inuence the estimation of model parameters. More detailed experiments were used to fully test the efficacy of the method in analysing complex BESmodels. Novel techniques, based on Bootstrap and Smoothing with Roughness Penalty, for the determination of the uncertainties of multidimensional model inputs, were introduced. The framework was proven effective in adequately simplifying BES models, in precisely identifying parameters, causes of discrepancies and improvements, and in providing clear information about which model was the most suitable in describing the observed processes. This research delivers a powerful tool for the analysis, diagnosis and calibration of BES models, which substantially improves the current practice and that can be already applied to solve many practical problems, such as the investigation of energy conservation measures, model predictive control and fault detection.
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Barham, R. G. "Free-field reciprocity calibration of laboratory standard microphones." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294981.

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Jonfelt, Clara. "An evaluation of an MBBR anammox model - sensitivity analysis and calibration." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-312511.

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This master thesis is about mathematical modelling of the anammox process with a moving bed biofilm reactor (MBBR) for a reject water application. Specifically, the aim of my research was to find out whether the model proposed by Erik Lindblom in (Lindblom et al. 2016) is a good model for this purpose and worth continuous research and optimization. The code for the model, implemented in Matlab/Simulink, was given; although not initially functioning in the given condition. Some modifications needed to be done to make it function properly. In order to confirm that the code was working and used in a correct way some results in (Lindblom et al. 2016) were reproduced. Before starting the evaluation of the model, some much-needed optimizations of the code were done, substantially reducing the run time. A sensitivity analysis was done, and the five most sensitive parameters were picked out to be used in the calibration. The calibration improved the total fit of the model to the available measurements, although one of the model outputs could not be calibrated satisfactorily. In short, I found that although there are still problems left to solve before the model can be stated to accurately model the anammox process with MBBR, it appears promising. Most importantly, more measurement data are needed in order to make a proper validation and to do a better calibration.
CONAN
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Fadikar, Arindam. "Stochastic Computer Model Calibration and Uncertainty Quantification." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/91985.

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This dissertation presents novel methodologies in the field of stochastic computer model calibration and uncertainty quantification. Simulation models are widely used in studying physical systems, which are often represented by a set of mathematical equations. Inference on true physical system (unobserved or partially observed) is drawn based on the observations from corresponding computer simulation model. These computer models are calibrated based on limited ground truth observations in order produce realistic predictions and associated uncertainties. Stochastic computer model differs from traditional computer model in the sense that repeated execution results in different outcomes from a stochastic simulation. This additional uncertainty in the simulation model requires to be handled accordingly in any calibration set up. Gaussian process (GP) emulator replaces the actual computer simulation when it is expensive to run and the budget is limited. However, traditional GP interpolator models the mean and/or variance of the simulation output as function of input. For a simulation where marginal gaussianity assumption is not appropriate, it does not suffice to emulate only the mean and/or variance. We present two different approaches addressing the non-gaussianity behavior of an emulator, by (1) incorporating quantile regression in GP for multivariate output, (2) approximating using finite mixture of gaussians. These emulators are also used to calibrate and make forward predictions in the context of an Agent Based disease model which models the Ebola epidemic outbreak in 2014 in West Africa. The third approach employs a sequential scheme which periodically updates the uncertainty inn the computer model input as data becomes available in an online fashion. Unlike other two methods which use an emulator in place of the actual simulation, the sequential approach relies on repeated run of the actual, potentially expensive simulation.
Doctor of Philosophy
Mathematical models are versatile and often provide accurate description of physical events. Scientific models are used to study such events in order to gain understanding of the true underlying system. These models are often complex in nature and requires advance algorithms to solve their governing equations. Outputs from these models depend on external information (also called model input) supplied by the user. Model inputs may or may not have a physical meaning, and can sometimes be only specific to the scientific model. More often than not, optimal values of these inputs are unknown and need to be estimated from few actual observations. This process is known as inverse problem, i.e. inferring the input from the output. The inverse problem becomes challenging when the mathematical model is stochastic in nature, i.e., multiple execution of the model result in different outcome. In this dissertation, three methodologies are proposed that talk about the calibration and prediction of a stochastic disease simulation model which simulates contagion of an infectious disease through human-human contact. The motivating examples are taken from the Ebola epidemic in West Africa in 2014 and seasonal flu in New York City in USA.
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Thoman, Glen W. "Continuous analysis methods in stormwater management practice, sensitivity, calibration and model development." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq29398.pdf.

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Waterfield, James. "Optical calibration system for SNO+ and sensitivity to neutrinoless double-beta decay." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/67570/.

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The SNO+ experiment is primarily looking for neutrinoless double-beta decay, an unobserved, lepton number violating radioactive decay. This is achieved by loading liquid scintillator with tellurium whose isotope 130Te decays via double beta decay with a Q-value of 2527 keV. An optical calibration system, located outside the scintillator, has been developed to help meet the radiopurity requirements of the experiment. This thesis describes the hardware component of the optical calibration system which calibrates the timing and charge response of the photomultiplier tube array of SNO+. A set of quality assurance tests showed that the system was at the required standard for installation. Data taken with SNO+ and the optical calibration system showed that the system was stable enough for photomultiplier tube calibration, identified resolvable issues with the SNO+ data acquisition system and allowed measurement of single photoelectron spectra. Data quality checks have been developed to ensure data is of calibration standard. The sensitivity of SNO+ to neutrinoless double-beta decay with nearly 800 kg of 130Te and five years data taking is investigated with a comprehensive evaluation of systematic uncertainties. Two new methods for acquiring a greater sensitivity to neutrinoless double-beta decay were developed; a one dimensional fit in event energy and a multidimensional fit in event energy and position. A simple event counting analysis, developed previously by the collaboration, was shown to be sensitive to systematic uncertainties. A fit in an extended energy range was shown to constrain the systematics and achieve a half-life sensitivity of 9.30x1025 yr corresponding to a 5.6% improvement over the counting analysis which neglected systematic uncertainties. The multidimensional analysis with systematics included achieved a 20% improvement over the counting analysis with a half-life sensitivity of 1:06 x 1026 yr, corresponding to an effective Majorana mass between 52 to 125 meV.
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Dangwal, Chitra. "Electrochemical Model Calibration Process based on Sensitivity Analysis for Lithium-ion batteries." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587816603247479.

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Zhang, Jianbo. "Readout Circuits for a Z-axis Hall Sensor with Sensitivity Drift Calibration." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175785.

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Hall effect magnetic sensors have gradually gained dominance in the market of magnetic sensors during the past decades. The compatibility of Hall sensors with conventional CMOS technologies makes monolithic Hall sensor microsystem possible and economic. An attractive application is the contactless current sensor by using Hall sensors to measure the magnetic field generated by the electrical current. However, Hall sensors exhibit several non-idealities, i.e., offset, noise and sensitivity drift, which limit their precision. Therefore, effective techniques to reduce these imperfections are desired. This thesis presents the design of a new readout scheme for Hall magnetic sensor with low offset, low noise and low sensitivity drift. The Hall sensor is realized in N-well as Hall plate and modeled in Verilog-A for the purpose of co-simulation with interface circuits. The self-calibrated system is composed of two identical Hall plates, preamplifiers and a first-order ΣΔ modulator, which can be fully integrated monolithically. Four-phase spinning current technique and chopper stabilization technique have been employed to reduce the offset and 1/fnoise of Hall platesand OTA, respectively. Integrated coils are used to generate the reference magnetic field for calibration. The preamplifiers amplify the signal and separate the Hall voltage and reference voltage. The ΣΔ modulator reduces the thermal drift by using Hall voltage as the modulator input and reference voltage as the DAC output. This new calibration technique also compensates the thermal drifts of the biasing current and readout circuits. The overall system is implemented in NXP140nm CMOS process with 1.8V supply. The Virtuoso/Spectre simulation results show residual drifts lower than 10ppm/ ̊C, which are 3-5 times lower than the state of the art. The input magnetic field and temperature range are ±100mT and -40 ̊C to 120 ̊C, respectively.
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Pullins, Clayton Anthony. "High Temperature Heat Flux Measurement: Sensor Design, Calibration, and Applications." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/27789.

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This effort is focused on the design, calibration, and implementation of a high temperature heat flux sensor for thermal systems research and testing. The High Temperature Heat Flux Sensor (HTHFS) was designed to survive in the harsh thermal environments typically encountered in hypersonic flight, combustion and propulsion research, and large-scale fire testing. The sensor is capable of continuous use at temperatures up to 1000 â ¦C. Two methods for steady-state calibration of the HTHFS at elevated temperatures have been developed as a result of this research. The first method employs a water-cooled heat flux sensor as a reference standard for the calibration. The second method utilizes a blackbody radiant source and a NIST calibrated optical pyrometer as the calibration standard. The HTHFS calibration results obtained from both methods compare favorably with the theoretical sensitivity versus temperature model. Implementation of the HTHFS in several types of transient thermal testing scenarios is also demonstrated herein. A new data processing technique is used to interpret the measurements made by the HTHFS. The Hybrid Heat Flux (HHF) method accounts for the heat flow through the sensor and the heat storage in the sensor, and thus renders the HTHFS virtually insensitive to the material on which it is mounted. The calibrated output of the HTHFS versus temperature ensures accuracy in the measurements made by the sensor at high operating temperatures.
Ph. D.
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Rivers, Thane Damian. "Development of an automated scanning monochromator for sensitivity calibration of the MUSTANG instrument." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23866.

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Books on the topic "Sensitivity calibration"

1

Beyna, Ingo. Interest Rate Derivatives: Valuation, Calibration and Sensitivity Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Zalewski, Edward F. The NBS photodetector spectral response calibration transfer program. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1988.

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Moss, B. C. Calibration of ultrasonic transducer sensitivity and power by laser interferometry. Luxembourg: Commission of the European Communities, 1986.

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Rivers, Thane Damian. Development of an automated scanning monochromator for sensitivity calibration of the MUSTANG instrument. Monterey, Calif: Naval Postgraduate School, 1992.

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Lehman, John H. Calibration service for spectral responsivity of laser and optical-fiber power meters at wavelengths between 0.4 [micrometers] and 1.8 [micrometers]. Boulder, CO: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Lehman, John H. Calibration service for spectral responsivity of laser and optical-fiber power meters at wavelengths between 0.4 [micrometers] and 1.8 [micrometers]. Boulder, CO: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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Beyna, Ingo. Interest Rate Derivatives: Valuation, Calibration and Sensitivity Analysis. Springer, 2013.

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The NBS photodetector spectral response calibration transfer program. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1988.

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Pressure sensitivity calibration of 1-inch microphones by the reciprocity technique. Luxembourg: Commission of the European Communities, 1985.

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Continuous analysis methods in stormwater management practice: Sensitivity, calibration and model development. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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Book chapters on the topic "Sensitivity calibration"

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Schlösser, Magnus. "Calibration Based on Theoretical Intensities and Spectral Sensitivity (Method I)." In Accurate Calibration of Raman Systems, 101–49. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06221-1_5.

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Hartley, R. I., and R. Kaucic. "Sensitivity of Calibration to Principal Point Position." In Computer Vision — ECCV 2002, 433–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47967-8_29.

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Xiao, Dingguo, Zhaona Zhang, Huiling Ren, Bo Yang, Qinxue Pan, and Chunguang Xu. "Calibration Principle for Acoustic Emission Sensor Sensitivity." In Springer Proceedings in Physics, 33–45. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1239-1_4.

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Isaak, G. R., and A. R. Jones. "Continuous Magnetic Calibration of (Velocity) Sensitivity of Oscillation Spectrometers." In Advances in Helio- and Asteroseismology, 467–69. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4009-3_92.

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Shashank and S. Indu. "Sensitivity-Based Adaptive Activity Mapping for Optimal Camera Calibration." In International Conference on Intelligent Computing and Smart Communication 2019, 1211–18. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0633-8_118.

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Gattiker, James, Kary Myers, Brian J. Williams, Dave Higdon, Marcos Carzolio, and Andrew Hoegh. "Gaussian Process-Based Sensitivity Analysis and Bayesian Model Calibration with GPMSA." In Handbook of Uncertainty Quantification, 1867–907. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-12385-1_58.

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Gattiker, James, Kary Myers, Brian Williams, Dave Higdon, Marcos Carzolio, and Andrew Hoegh. "Gaussian Process-Based Sensitivity Analysis and Bayesian Model Calibration with GPMSA." In Handbook of Uncertainty Quantification, 1–41. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11259-6_58-1.

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Cacuci, Dan Gabriel, and Mihaela Ionescu-Bujor. "Sensitivity and Uncertainty Analysis, Data Assimilation, and Predictive Best-Estimate Model Calibration." In Handbook of Nuclear Engineering, 1913–2051. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-98149-9_17.

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Theobald, Pete T., and F. Dar. "AE Sensor Calibration for Out-of-Plane and In-Plane Displacement Sensitivity." In Advanced Materials Research, 91–98. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-420-0.91.

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Sun, Fan, and Yang Liu. "Sensitivity Analysis and Automatic Calibration of a Rainfall-Runoff Model Using Multi-objectives." In Knowledge-Based and Intelligent Information and Engineering Systems, 90–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15387-7_13.

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Conference papers on the topic "Sensitivity calibration"

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Kaizerman, S., B. Benhabib, R. G. Fenton, and G. Zak. "A Sensitivity Analysis Based Method for Robot Calibration." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0206.

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Abstract A new robot kinematic calibration procedure is presented. The parameters of the kinematic model are estimated through a relationship established between the deviations in the joint variables and the deviations in the model parameters. Thus, the new method can be classified as an inverse calibration procedure. Using suitable sensitivity analysis methods, the matrix of the partial derivatives of joint variables with respect to robot parameters is calculated without having explicit expressions of joint variables as a function of task space coordinates (closed inverse kinematic solution). This matrix provides the relationship between the changes in the joint variables and the changes in the parameter values required for the calibration. Two deterministic sensitivity analysis methods are applied, namely the Direct Sensitivity Approach and the Adjoint Sensitivity Method. The new calibration procedure was successfully tested by the simulated calibrations of a two degree of freedom revolute-joint planar manipulator.
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Lai, Jim Z. "Sensitivity of camera calibration." In Applications in Optical Science and Engineering, edited by Donald J. Svetkoff. SPIE, 1993. http://dx.doi.org/10.1117/12.141951.

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Heikkila, Jan. "Sensitivity analysis of camera calibration." In Robotics - DL tentative, edited by Bruce G. Batchelor, Michael J. W. Chen, and Frederick M. Waltz. SPIE, 1992. http://dx.doi.org/10.1117/12.58797.

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Smith, Warren E., Daniel P. Filiberti, Andrew J. Bennett, and Anthony Currie. "Calibration of polarimetric SAR and sensitivity to calibration error." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Edmund G. Zelnio. SPIE, 2001. http://dx.doi.org/10.1117/12.438219.

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Lewis, M. "The sensitivity of phased array antenna beam patterns to element phase and amplitude errors." In IEE Seminar on Calibration of Active Phased Array Antennas. IET, 2005. http://dx.doi.org/10.1049/ic.2005.0698.

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Garcia-Moreno, Angel-Ivan, Jose-Joel Gonzalez-Barbosa, Juan B.Hurtado-Ramos, and Francisco-Javier Ornelas-Rodriguez. "Sensitivity Analysis in a Lidar-Camera Calibration." In Fourth International Conference on Advanced Information Technologies and Applications. Academy & Industry Research Collaboration Center (AIRCC), 2015. http://dx.doi.org/10.5121/csit.2015.51518.

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Schulz, Peter A. "Radar sensitivity, receiver calibration, and sky noise." In 2010 IEEE Radar Conference. IEEE, 2010. http://dx.doi.org/10.1109/radar.2010.5494386.

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Martinussen, Hanne, Astrid Aksnes, and Helge E. Engan. "High sensitivity vibration measurements with absolute calibration." In 2006 Conference on Lasers and Electro-Optics and 2006 Quantum Electronics and Laser Science Conference. IEEE, 2006. http://dx.doi.org/10.1109/cleo.2006.4627773.

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Qiu, Na, Nam Ho Kim, and Yunkai Gao. "Remarks on Parameter Calibration and Model Validation Based on Sensitivity." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60222.

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In this paper, different approaches to parameter calibration and model validation were compared to understand the accuracy and robustness, especially when only a small number of data are available. Conventional one-point calibration, two-point calibration, sensitivity-based calibration, discrepancy-based calibration methods are compared when the number of data is less than three. An analytical example as well as a cantilever beam model are used to demonstrate the performance and accuracy of different methods. Numerical examples indicate that the conventional calibration method that does not account for the discrepancy function may lead to biased parameter and prediction models. It also can be seen that accurate parameter can be identified only when the form of discrepancy function is accurate.
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Leung, Joseph, and Tim George. "Sensitivity studies and calibration of small signal models." In 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2015. http://dx.doi.org/10.1109/appeec.2015.7381042.

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Reports on the topic "Sensitivity calibration"

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Fischer, Christian, and Wolfgang Albert Flügel. Temporal sensitivity analysis for effective model calibration. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0166.

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Snyder, L. A., D. N. Fittinghoff, D. E. Bower, and M. J. May. MHD-240 Neutron Detection Efficiency and Sensitivity Calibration. Office of Scientific and Technical Information (OSTI), March 2020. http://dx.doi.org/10.2172/1605527.

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Hamill, Daniel D., Jeremy J. Giovando, Chandler S. Engel, Travis A. Dahl, and Michael D. Bartles. Application of a Radiation-Derived Temperature Index Model to the Willow Creek Watershed in Idaho, USA. U.S. Army Engineer Research and Development Center, August 2021. http://dx.doi.org/10.21079/11681/41360.

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The ability to simulate snow accumulation and melting processes is fundamental to developing real-time hydrological models in watersheds with a snowmelt-dominated flow regime. A primary source of uncertainty with this model development approach is the subjectivity related to which historical periods to use and how to combine parameters from multiple calibration events. The Hydrologic Engineering Center, Hydrological Modeling System, has recently implemented a hybrid temperature index (TI) snow module that has not been extensively tested. This study evaluates a radiatative temperature index (RTI) model’s performance relative to the traditional air TI model. The TI model for Willow Creek performed reasonably well in both the calibration and validation years. The results of the RTI calibration and validation simulations resulted in additional questions related to how best to parameterize this snow model. An RTI parameter sensitivity analysis indicates that the choice of calibration years will have a substantial impact on the parameters and thus the streamflow results. Based on the analysis completed in this study, further refinement and verification of the RTI model calculations are required before an objective comparison with the TI model can be completed.
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Kercher, J. R., and J. Q. Chambers. Description, calibration and sensitivity analysis of the local ecosystem submodel of a global model of carbon and nitrogen cycling and the water balance in the terrestrial biosphere. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/198872.

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Calibration and sensitivity analysis of a ground-water flow model of the coastal lowlands aquifer system in parts of Louisiana, Mississippi, Alabama, and Florida. US Geological Survey, 1990. http://dx.doi.org/10.3133/wri894189.

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