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 36 for “"Data simulation"”.
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SuperDARN Data Simulation, Processing, Access, and Use in Analysis of Mid-latitude Convection
Super Dual Auroral Radar Network (SuperDARN) data is a powerful tool for space science research. Traditionally this data has been processed using a routine with known limitations. A large issue preventing the development and implementation of new processing algorithms was the lack of a realistic …
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Applying Neural Networks for Tire Pressure Monitoring Systems
… to generate simulated accelerometer output data. Simulation data are used to train and evaluate a recurrent neural network with long short-term memory blocks (RNN-LSTM) and a convolutional neural network (CNN) developed in Python with Tensorflow. Bayesian Optimization via SigOpt was used to …
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Polymorphic Adversarial DDoS attack on IDS using GAN
… a method proven in generating various forms of data. It is becoming popular among security researchers as it can produce indistinguishable data from the original data. I proposed a model to generate DDoS attacks using a WGAN. I used several techniques to update the attack feature profile and …
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Bayesian statistics for fishery stock assessment and management
… is tested in five case-studies, two of which use data simulation. Real data refer to Skeena river salmon (Oncorhynchus nerka), Orange Roughy (Hoplostethus atlanticus) and Pacific cod (Gadus macrocephalus). The results show that the technique successfully approximates posterior distributions in …
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The Exploration of the Relationship Between Guessing and Latent Ability in IRT Models
… method. SAS program was used to implement the data simulation and the maximum likelihood estimation. Compared with the traditional 3PL model, the new model should reflect: a) the maximum probability of guessing should not be more than 0.5, even for the highest ability examinees; b) different …
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Comparative analysis of parametric, nonparametric and permutation methods for differential expression
… and permutation tests when applied to microarray data for differential expression analysis. t test (parametric), Mann Whitney test (nonparametric) and Significance of analysis (permutation ) test are compared. The study focused on comparison of tests based on the ranking of genes by different …
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A Proposed Framework for Establishing Optimal Genetic Designs for Estimating Narrow-sense Heritability
… plans under consideration, and does not require data simulation, but does require computer programming. We apply it to the study of a peanut (Arachis hypogaea) breading example, in order to determine the ideal number of plants to be selected at each generation. We also propose a methodology that …
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Bayesian modeling of microwave foregrounds
… would prove extremely useful for analyzing data obtained from current and future CMB experiments. This analysis aims to characterize the behavior of the nested sampling algorithm. We create a physically realistic data simulation, which we then use to reconstruct the CMB sky using both the …
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Potential Silvicultural Effects on Bald Eagle Nesting Substrate and Economic Yields at a Navy Installation in the Chesapeake Bay: An Approach Using the Forest Vegetation Simulator and Mahalanobis Distance
… used forest inventory and bald eagle nest site data to investigate the potential effects of silviculture on bald eagle nesting habitat at Naval Support Facility Indian Head. Mahalanobis distance was used to define and classify preferred nesting substrate. Silviculture was simulated using the …
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Satellite Scatterometers: Calibration Using a Ground Station and Statistical Measurement Theory
… unique ability to measure global geophysical data on a daily basis. Increased interest in scatterometry mandates improved design and calibration of these instruments. This dissertation presents new techniques for scatterometer calibration and addresses issues related to the design of future …
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Downstream Processing with Affinity Chromatography. A Study of a Continuous Process for Biospecific Adsorption
… wash and desorption step. A method of data analysis was developed and applied to the experimental results. Axial dispersion could be identified as the predominant 'mass transfer' mechanism. A simulation model was build, based on the data analysis results. The model was verified …
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Automated Spatial Progress Monitoring for Asphalt Road Construction Projects
… on road design layers in 3D as-built point cloud data generated using unmanned aerial photogrammetry and a novel data simulation approach. A parallel as-planned progress estimate is also automatically prepared using 4D information, and the progress status determinations are made by comparing the …
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Precombustion Removal of Hazardous Air Pollutant Precursors
… trace element float-sink and release analysis data, were used to develop a simulator that can predict trace element rejections from any coal processing circuit. This was achieved by applying general partition functions to trace element washability and bench-scale processing data. Simulation …
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Modeling Driving Risk Using Naturalistic Driving Study Data
… risk research on Naturalistic Driving Study data. The dissertation includes 5 chapters. In Chapter 1, I introduced the backgrounds of traffic safety research and naturalistic driving study. In Chapter 2, the state-of-practice statistical methods were implemented on individual driver risk …
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Data-Link Layer Traceback in Ethernet Networks
… research has been conducted on the problem of Data-Link Layer Traceback (DLT), the process of tracing frames from the network edge to the attack source, across what is usually a layer-2 network. We propose a scheme called Tagged-fRAme tracebaCK (TRACK) that provides a secure, reliable DLT …
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Dynamic State Estimation of Microgrid With Imperfect Data Communication
… accuracy of the state estimator. In addition to data loss or delay, sensor measurements may include outliers that distort state estimation. We utilized the Generalized Maximum Likelihood-extended Kalman filter (GM-EKF), as a robust estimator, which exhibits good tracking capabilities suppressing …
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Statistical Methods For Biomarker Threshold Models in Clinical Trials
… for treatment-biomarker interaction in survival data. Simulation studies show that the residual bootstrap test works well. The proposed method is applied to BIG 1-98 randomized clinical trial of breast cancer with Ki-67 as biomarker to consider the treatment effects on patients in two subsets. We …
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Models for Data Analysis in Accelerated Reliability Growth
… methodologies for analyzing accelerated testing data in the context of a reliability growth program for a complex multi-component system. Each component has multiple failure modes and the growth program consists of multiple test-fix stages with corrective actions applied at the end of each stage. …
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A Method for Identification of Pancreatic Cancer through Methylation Signatures in Cell-Free DNA
… cell-free DNA using publicly available data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The work includes the development of methods for simulation of samples and cell-free DNA data at multiple ctDNA concentrations as well as a pilot implementation and …
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Topics in functional data analysis and machine learning predictive inference
… of three research projects focused on functional data analysis and machine learning predictive inference.</p> <p>The first project deals with the covariance estimation, principal component analysis, and prediction of spatially correlated functional data. We develop a general framework and fully …
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