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 20 of 438 for “"simulated data"”.
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Investigating Pilot Performance Using Mixed-Modality Simulated Data Link
… (VFR) rated pilots were evaluated for their data link performance using a flight simulator (ELITE i-GATE) equipped with a mixed-modality simulated data link within one of two flight conditions. Data link modalities included textual, synthesized speech, digitized speech, and synthesized …
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Testing Criterion Validity of Benefit Transfer Using Simulated Data
… of benefit function transfer. For this purpose, simulated data are created where all information necessary to conduct the benefit function transfer is available. We consider the six cases of difference between the study and policy sites- scale parameter, substitution possibilities, observable …
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Sensitivity analysis with simulated data errors : synthetic extinct generations method
This study develops the key components of the Synthetic Extinct Generations (SEG+delta) method in trying to answer research questions raised by Dorrington and Timeaus (2008) and in the process investigates the different sets of combinations of the key components of the SEG+delta method when applied …
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Estimation of Canonical Regression Weights and Correlations by Means of Simulated Data
Made available in DSpace on 2014-12-12T19:53:10Z (GMT). No. of bitstreams: 1 7524334.pdf: 2996676 bytes, checksum: fda00d02cdf1f0b72b2b354095b0d3e6 (MD5) Previous issue date: 1975
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Constraining the Major Merging History of Massive Galaxies: A Comprehensive Analysis of Close Pairs and Tidal Features Using Empirical and Simulated Data
… substructures) using forefront observational data from the Hubble Space Telescope (HST) and realistic mock observations from leading theoretical simulations. We analyze the incidence of major, similar-mass (mass ratio<4) close pairs among a large sample of ~9800 massive galaxies (log …
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Hybrid Electric Power System Validation through Parameter Optimization
… the model was validated using test data through parameter optimization. Simulink Parameter Estimation toolbox was used to identify the battery parameters and validate the battery model with test data. Experimental data was obtained by discharging the battery of a modified 2013 …
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Comparative analysis of algorithms for identifying copy number variation in array CGH data
… identifying copy number variation in array CGH data. Circular Binary segmentation (CBS), CGH segmentation, Price —Smith—Waterman algorithm (the three algorithms are a part of ADaCGH tool) and Cluster Along Chromosome (CLAC) which is not publicly available were studied and used for the analysis …
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Fuzzy Logic, Genetic Algorithms and Next-State Models
… between the original laboratory biological data set and a data set generated by the model itself. The simulated data was constructed in a next-state process. We found that we could construct Fuzzy Logic models that generated simulated data within the apparent biological variability of the …
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Bandstructure calculations for holes in GaAs and simulations of dc conductance in electron quantum point contacts
… g* from QPC conductance measurements. We simulated data for a parabolic QPC saddle-point potential at T=0 K and analyse the data using methods based on the AC conductance and on the DC conductance. We show that the two methods are compatible and accurate to ±4 % for the ideal simulated …
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An algorithm for reducing atmospheric density model errors using satellite observation data in real-time
… had been partially validated using simulated data. This thesis describes the completion of the validation process using simulated data and the beginning of the real data validation process. It is also intended to serve as a manual for using and modifying the implementation of the …
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A Recency-Only Pareto/NBD
… The model will be fit to both real-world and simulated data and will be compared to the "recency/frequency" model. The paper finds that the model can adequately recover parameters in a variety of settings, but in some cases may predict poorly.
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Signal Processing Issues in Reflection Tomography
… various water types and system parameters. Our simulated data fits the characteristics of real data very well. We present our reconstruction results from the simulated and real data, and comparatively discuss the reconstructions.
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Machine Learning for Radio Frequency Interference Flagging
… involves the identification of corrupted data within radio astronomy measurements. This work explores the application of supervised machine learning algorithms for RFI flagging, trained on real measurement data and simulated data with simulated RFI. The goal of this work is to investigate …
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A Deterministic Approach to Partitioning Neural Network Training Data for the Classification Problem
… because of failings in the use of training data. This problem can be exacerbated because of small data set size. In this dissertation, we identify and discuss a number of potential problems with typical random partitioning of neural network training data for the classification problem and …
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Isolated Traffic Signal Optimization Considering Delay, Energy, and Environmental Impacts
… both studies validate the Webster model against simulated data. The microscopic simulation software, INTEGRATION, was used to simulate two-phase and four-phase isolated intersections over a range of cycle lengths, traffic demand levels, and signal timing lost times. Intersection delay, fuel …
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An Investigation of Sensitivity of an F Test in Locating Change Points in Linear Regression
… change points using a form of an F-test. Using simulated data, we explore its sensitivity and accuracy with respect t different parameters in the model.</p>
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Multilevel modeling of item position Effects
… form. The model is demonstrated using real and simulated data. Real data came from two sources: a K-12 reading achievement test administered to over 90,000 students in which pilot items were included in random positions; and pilot sections of the GRE administered to roughly 1,800 examinees, …
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Aktive Sekundärmaßnahmen zur Vermeidung von fahrzustandsabhängigen Geräuschen in hydraulischen Lenksystemen
… system. With the simulation models, physical data can be calculated, which can not be measured at the test benches. A comparison between measured and simulated data then verifies the simulation models. To evaluate measured and simulated data of different hydraulic line designs, characteristic …
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Estimation of Cointegrated Systems in Continuous Time
… outlined. The representations are applicable for data observed as both stock or flow variables and with the use of some simulated data, the performance of the estimation procedure is assessed. More importantly, with the aim of analysing the costs, if there are any, of ignoring aggregation in the …
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Bayesian Multidimensional Scaling Model for Ordinal Preference Data
… The model was used to interpret two independent data samples of ordinal consumer preference data related to purchasing behavior. The objective of the procedure was to provide an understanding and visual depiction of consumers' likelihood of having a strong affinity toward one of the survey …
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