Browsing Auburn Theses and Dissertations by Title
Now showing items 7363-7382 of 9098
Roadside Features in Crash Prediction Models: Data Collection and Evaluation
(2016-05-05)
A roadway departure (RwD) crash, comprising run-off-road (ROR) and cross median/cross centerline head-on collisions, is defined as a crash in which a vehicle crosses an edge line, a centerline, or otherwise leaves the ...
Roaming Authentication and End-to-End Authentication in Wireless Security
(2005-08-15)
With the rapid development of wireless networks, researchers, practitioners, and end users are paying closer attention to the security issues in mobile computing. Authentication is the imperative step to establish security ...
A Robot Mounted Electromagnetic Induction System for Identification of a UXO Free Corridor
(2009-11-11)
This thesis gives a complete overview of a time domain electromagnetic induction system developed for identification of a UXO free corridor. An EMI sensor typically consists of the transmitter and receiver coils to induct ...
Robot Navigation for RFID-based Inventory Counting
(2016-05-06)
A mathematical model for a robot navigation system searching for RFID tags in a retail store is constructed. It is based on the Traveling Salesman Problem optimization algorithm. A software simulation is performed in MATLAB. ...
Robot-Object Interaction Language
(2012-05-16)
As the world anticipates receiving helper robots into their homes there are still a few more hurdles that the robotics field must leap over in order for us to reach such a goal. The main issues that the discipline faces ...
Robust Bayesian Methods for Semi-parametric Models
(2020-07-21)
Nonparametric rank-based approaches in many situations provide more flexible modeling speci cations and robustness when the distribution of data diff ers from the assumed distribution. This dissertation is mainly concerned ...
Robust Estimation and Selection for Semi-Varying Coefficient Models
(2022-07-28)
Varying coefficient models have gained popularity in recent years due to their
exibility
in modeling more realistic problems. On the other hand, parametric models provide better
interpretability. Model selection can ...
Robust Gain-Scheduled Observer Design with Application to Vehicle State Estimation
(2014-10-10)
This dissertation develops an application of the state-of-the-art convex optimization algorithms to the vehicle state estimation problem. The main challenge in this field is that the time-varying uncertain parameters and ...
Robust Group Variable Selection Methods for Multiple Functional Regression Model
(2015-07-29)
With the advancements in science and ever changing technology to collect data, functional data have become common these days, especially in various fields such as neuroscience, chemometrics, e-commerce and computer science. ...
Robust Methods for Functional Data Analysis
(2009-07-06)
Functional data consist of observed functions or curves at a finite subset of an interval. Each functional observation is a realization from a stochastic process. This thesis aims to develop suitable statistical methodologies ...
Robust Methods for Multivariate Functional Data Analysis
(2013-07-16)
In the present work we have proposed a robust multivariate functional principal component analysis (RMFPCA) method, that is efficient in estimation and fast in computation, to achieve dimension reduction of dataset and to ...
Robust Nonparametric Discriminant Analysis Procedures
(2009-05-15)
In this study, a nonparametric discriminant analysis procedure that is less sensitive than traditional procedures to deviations from the usual assumptions is proposed. The procedure uses the projection pursuit methodology ...
Robust Partial Least Squares for Regression and Classification
(2008-08-15)
Partial Least Squares (PLS) is a class of methods for modeling relations between sets of observed variables ...
Robust Rank-based Metric for Evaluating Text Summarization
(2023-12-01)
Since information is growing exponentially, it is more important than ever to find effective ways to summarize text in the information age we live in. Automated text summarization systems are designed to make this process ...
Robust Simultaneous Inference for Functional Data
(2017-04-20)
Advancements in modern technology have enabled the collection of complex, high- dimensional data sets, such as curves, 2D or 3D images, and other objects living in a functional space, thus boosting the investigation of ...
A Robust Software Radio Testset for Research and Laboratory Instruction
(2005-12-15)
Since the mid-1990s, communication technology has advanced dramatically, making it possible to achieve high data rates for both enterprise and individual users. The rapid and widespread deployment of wireless communications ...
Robust Solutions for Enabling Trust in Digital Circuits
(2022-07-31)
The continuous emergence of counterfeit integrated circuits (ICs) in the electronics supply chain requires immediate solutions since they pose serious threats to our critical infrastructures due to their inferior quality. ...
Robust Statistical Methods for the Functional Logistic Model
(2013-07-10)
Over the last decade or so, a lot of interest has emerged in the field of functional data analysis. This interest spans from a broad spectrum of fields such as brain imaging studies, bio-metrics, genetics, e-commerce and ...
Robust Variable Selection Methods for Grouped Data
(2015-07-23)
When predictor variables possess an underlying grouping structure in multiple regression, selecting important groups of variables is an essential component of building a meaningful regression model. Some methods exist to ...
A Robust Version of Hotelling's T2 Control Chart for Retrospective Location Analysis of Individuals Using BACON Estimators
(2012-02-13)
Hotelling's T2 chart is commonly used for Phase I analysis of individual multivariate normally distributed data. However, the presence of only a few outliers can significantly distort classical estimates of location and ...