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.
Results
Showing 1 to 16 of 16 for “"error modeling"”.
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Bayesian Measurement Error Modeling
<p>A mixture measurement error model built upon skew normal distributions and normal distributions is developed to evaluate various impacts of measurement errors to parameter inferences in logistic regressions. Data generated from survey questionnaires are usually error contaminated. We consider …
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Error modeling for differential GPS
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1995.
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Error modeling of the carpal wrist
… are identical. This thesis investigates the errors that result from those assumptions being violated due to manufacturing and assembly errors. In the non-ideal model, pose error is found by iteratively solving a system of equations describing the output plane position and orientation and …
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Soft Error Modeling and Analysis for Microprocessors
… dissertation studies the architecture level soft error modeling and analysis problems. It provides new techniques to examine and take advantage of architecture level soft error behavior. We apply our tool to investigate the impact of technology scaling on soft errors. We also propose an efficient …
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Ultra-Wideband Error Modeling for Improved Localization
… develops models to better understand the complex error patterns of UWB range measurements, specifically how separation distance and relative angle between modules affect error. These models are used to develop three error prediction and correction methods to improve localization: (1) range-based …
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Robot system characterization: error modeling, identification, analysis, and minimization
… to model, identify, analyze, and minimize errors in robot geometric parameters. Throughout this work, the geometric parameters that describe the kinematics of a given robot are treated as unknowns. The robot characterization process involves finding the optimal values of these parameters to …
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Resilient Navigation through Jamming Detection and Measurement Error Modeling
… estimation require high-integrity measurement error time correlation models to compute estimation error bounds. In response, two new methods to identify high-integrity measurement error time correlation models from experimental data are developed and evaluated in this thesis. As opposed to …
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Probabilistic and Statistical Learning Models for Error Modeling and Uncertainty Quantification
Simulations and modeling of large-scale systems are vital to understanding real world phenomena. However, even advanced numerical models can only approximate the true physics. The discrepancy between model results and nature can be attributed to different sources of uncertainty including the …
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Machine tool accuracy characterization, error modeling and compensation using telescopic ballbar and laser interferometer
… on the machine tool accuracy characterization, error modeling and error compensation using telescopic ballbar and laser interferometer. Increasing demand for both higher machine tool accuracy and machining tolerances has resulted in a great need to measure and characterize the accuracy of NC …
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Accuracy and Calibration of Conventional and Parallel Link Machine Tools
The error modeling, error observation, and error estimation techniques are then implemented on a three-axis parallel link machine tool. The final results show that successful calibration of a parallel link machine tool is possible when the research presented in this thesis is implemented.
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Bayesian Estimation of Material Properties in Case of Correlated and Insufficient Data
… and insufficient data, resulting in multivariate error modeling and high sample covariance matrix instability. To recover from the lack of information about the true covariance we analyze two different methodologies: first the hierarchical covariance modeling is investigated, then a method based …
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Inertial Navigation System Drift Reduction Using Scientific Machine Learning
… environments, but they suffer from drift errors that accumulate over time. This thesis introduces Scientific Machine Learning (SciML) as an innovative approach to mitigate INS drift by integrating physical models with machine learning algorithms. The proposed SciML architecture leverages …
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Cross-layer instruction-aware timing error mitigation & evaluation for energy-efficient dependable architectures
… nanometer circuits extremely prone to timing errors that threaten system functionality and reliability. To protect circuits from timing errors, designers adopt pessimistic timing margins, which lead to energy inefficiency. This dissertation focuses on addressing the challenges related to …
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Design and characterization of novel immunogens for AIDS vaccine development and evaluation of a sample inference method for NGS Illumina amplicon data
… variants in metagenomics studies, but sequencing errors make it challenging to correctly identify the authentic differences. Many denoising algorithms have been developed, but most ignore the quality scores or compress that data. We developed ampliclust, an error modeling approach using …
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Methods for enhancing carrier phase GNSS positioning and attitude determination performance.
… resolution performance and carrier phase error modeling. CDGNSS is considered for a broad range of real-time applications which require both a high precision relative positioning and attitude determination system. This is because of the drift-free nature of the GNSS measurement errors and …
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New techniques for the Reliability Evaluation of AI-oriented Hardware Accelerators
L'abstract è presente nell'allegato / the abstract is in the attachment