Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Online calibration"”.
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Item parameter drift and online calibration
… adaptive testing. This paper introduces an online (re)calibration design to detect item parameter drift for computerized adaptive testings in both unidimensional and multidimensional environment. Specifically, for online calibra- tion optimal design in unidimensional computerized adaptive …
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New methods of online calibration for item bank replenishment
"Item parameter calibration is important for tests based on item response theory, because the scoring, equating, bias analysis of the test, and item selection in adaptive tests are all based on the item parameters. As a test is continuously administered, item calibration needs to be conducted for …
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Online calibration for simulation-based dynamic traffic assignment : towards large-scale and real-time performance
… systems that impacts scalability and accuracy is online calibration which attempts to adjust simulation parameters in real-time to match as closely as possible simulated measurements with real-time surveillance data. This thesis contributes to the existing literature on online calibration of DTA …
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Real-Time Calibration of Large-Scale Traffic Simulators: Achieving Efficiency Through the Use of Analytical Mode
… routing and control to traffic state prediction. Online calibration of these simulators plays a crucial role in achieving high accuracy in the replication and prediction of streaming traffic data (i.e., link flows, densities). In order to be relevant in a real-time context, the problem must also …
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Real-time personalized toll optimization based on traffic predictions
… on accurate predictions, which is backed by the online calibration of the DTA system. We develop enhanced online calibration methodologies featuring a heuristic technique to calibrate supply parameters and improve the prediction accuracy of traffic speed. We test online calibration using real …
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Constrained extended Kalman filter : an efficient improvement of calibration for dynamic traffic assignment models
The calibration (estimation of inputs and parameters) for dynamic traffic assignment (DTA) systems is a crucial process for traffic prediction accuracy, and thus critical to global traffic management applications to reduce traffic congestion. In support of the real-time traffic management, the DTA …
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Influence of motion profile on estimating anatomical elbow joint axes using inertial measurement units
… typically rely on precise alignment, static calibration poses, or dynamic calibration motions. Muller et al. recently proposed a method for online calibration of the human elbow anatomical joint axes via decomposition of angular velocity measurements. This thesis evaluated this …
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Automatic calibration of modulated fractional-N frequency synthesizers
… a technique for in service automatic calibration of a modulated phase locked loop (PLL) frequency synthesizer has been developed. Phase/frequency modulation is accomplished by modulating the feedback divide value in a phase locked loop frequency synthesizer. A digital precompensation …
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Algorithmic and implementation aspects of on-line calibration of Dynamic Traffic Assignment
… and proposes new candidate algorithms for the online calibration of Dynamic Traffic Assignment (DTA). The thesis presents two formulations to on-line calibration: 1) The classical statespace formulation and 2) The direct optimization formulation. Extended Kalman Filter (EKF) is presented and …
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Control of constrained moving-boundary process with application to steel continuous casting
… feedback control techniques for coping with the nonlinear moving boundary problem dynamics. The present work provides several key building blocks towards a comprehensive solution of the continuous steel casting feedback control problem. In the first part of this dissertation, a mathematical model …
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Applications of Deep Learning, Machine Learning, and Remote Sensing to Improving Air Quality and Solar Energy Production
… resolutions; however, large-scale WLPMSN calibration and maintenance remain a challenge because the manual labor involved in initial calibration by collocation and routine recalibration is intensive, the transferability of the calibration models determined from initial collocation to new …