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Developing Guidelines For The Use Of Lightweight Materials In Culvert Preservation, Charlie Sun, Kean H. Ashurst Jr. May 2024

Developing Guidelines For The Use Of Lightweight Materials In Culvert Preservation, Charlie Sun, Kean H. Ashurst Jr.

Kentucky Transportation Center Research Report

This study addresses challenges that arise during highway embankment construction on road widening projects when additional fill is placed above existing culverts. Researchers conducted reduced-scale model laboratory tests to simulate culvert behavior under different loading conditions and to determine how well lightweight materials (LWMs) perform when subjected to changing loads. Testing showed that proximity of LWM to the culvert’s top surface strongly influences the magnitude of strain reductions or increases. Placing LWMs with relatively low elastic modulus closer to the culvert’s top surface led to reduced culvert ceiling strain and increased culvert wall strain. LWMs with relatively high elastic modulus …


Length And Width To Estimate Dry Mass Of Panicum Maximum Cv. Tanzânia Leaves, L. G. Barioni, P. M. Santos, A. Coldebella, M. Corsi Jan 2022

Length And Width To Estimate Dry Mass Of Panicum Maximum Cv. Tanzânia Leaves, L. G. Barioni, P. M. Santos, A. Coldebella, M. Corsi

IGC Proceedings (1997-2023)

An analysis of the relationship of leaf length (LL) and leaf width (LW) with leaf dry weight (LDW) in Panicum maximum was carried out with the objective of improving estimations of tissue flow in that plant. Data was collected in a mob grazing experiment with 28 days grazing interval sampled the day before grazing in 9 grazing cycles. Regression analysis revealed highly significant effect (P < 0.001) of both LL and LW on LDW. A lack of fit test gave strong evidence of non-linear relationship of LDW with LL (p < 0.05), fitting the model 1 0 LDW = β0LLβ1 , while LW presented a linear relation with LDW. LL was a better predictor of LDW than LW. LL solely or in combination with LW produced equations with …


Statistical Theory For Specialized Linear Regression Adjustment Methods Compared To Multiple Linear Regression In The Presence And Absence Of Interaction Effects, Leon Su Jan 2022

Statistical Theory For Specialized Linear Regression Adjustment Methods Compared To Multiple Linear Regression In The Presence And Absence Of Interaction Effects, Leon Su

Theses and Dissertations--Statistics

When building models to investigate outcomes and variables of interest, researchers often want to adjust for other variables. There is a variety of ways that these adjustments are performed. In this work, we will consider four approaches to adjustment utilized by researchers in various fields. We will compare the efficacy of these methods to what we call the ”true model method”, fitting a multiple linear regression model in which adjustment variables are model covariates. Our goal is to show that these adjustment methods have inferior performance to the true model method by comparing model parameter estimates, power, type I error, …


Seasonal Patterns Of Growth And Senescence In Cynodon Spp. Cv Tifton 85 Grazed Swards, L. F. M. Pinto, L. G. Barioni, S. C. Da Silva Sep 2021

Seasonal Patterns Of Growth And Senescence In Cynodon Spp. Cv Tifton 85 Grazed Swards, L. F. M. Pinto, L. G. Barioni, S. C. Da Silva

IGC Proceedings (1997-2023)

Growth and senescence are very important determinants of grassland productivity and correspond to key features to be considered for grazing management purposes. The present study was carried out at ESALQ, Piracicaba, S.P., Brazil and evaluated growth and senescence as a function of sward surface height. Mathematical models generated revealed that a similar pattern of response occurred as described in the literature for temperate grass species. However, a seasonal variation in response curves for growth and senescence was also observed and could be related to climatic events. Highest herbage accumulation rates were observed within the range of 15 to 20 cm …


Accelerometer-Based Vigilance State Classification In Dairy Cows, Evan King Jan 2021

Accelerometer-Based Vigilance State Classification In Dairy Cows, Evan King

Theses and Dissertations--Electrical and Computer Engineering

Globally, dairy farming is a $700 billion industry, with more than 9 million dairy cows in the United States alone. Depriving cows of required activities such as sleep has been shown to negatively impact reproductive efficiency, decrease the volume of milk produced, and increase the risk of culling. Overcrowded herds can decrease individual animal health, demanding the need for automatic behavior detection that would provide insight into their state of health.

Using electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG) to characterize the phases of sleep is a technique which has been used for decades. While these techniques are considered the …


Colorectal Cancer Differences In Staging And Survival: Appalachian And Non-Appalchian Kentuckians, Ripley Lucas Jan 2021

Colorectal Cancer Differences In Staging And Survival: Appalachian And Non-Appalchian Kentuckians, Ripley Lucas

Theses and Dissertations--Public Health (M.P.H. & Dr.P.H.)

Colorectal cancer is the third most commonly diagnosed cancer in the United States. Historically, the Appalachian region of Kentucky has experienced disparities in colorectal cancer screening and survival as compared to both the non-Appalachian region of the state and the United States. The aim of this paper is to investigate the differences in cancer staging and survival after diagnosis in Appalachian and non-Appalachian Kentuckians. The present time period of study is a retrospective, population-based cohort with data taken from the Kentucky Cancer Registry. Binomial logistic regression and Cox proportional hazards models were used to estimate unadjusted and adjusted odds ratios …


Forage Production Estimate Of Incienso (Flourensiathurifera (Mol.) Dc.), Repanda (Atriplex Repanda Phil.) And Numularia (Atriplex Nummularia Lindl.) According To Shrub Size And Annual Rainfall, P. Azócar, A. Mansilla, D. Troncoso, D. Patón Sep 2020

Forage Production Estimate Of Incienso (Flourensiathurifera (Mol.) Dc.), Repanda (Atriplex Repanda Phil.) And Numularia (Atriplex Nummularia Lindl.) According To Shrub Size And Annual Rainfall, P. Azócar, A. Mansilla, D. Troncoso, D. Patón

IGC Proceedings (1997-2023)

No abstract provided.


Relationship Of Soil Seed Bank And Vegetation In Hot‐Dry Valley Grassland Of Jin‐Sha River, J. L. Zhang, Y. F. Bi Jun 2020

Relationship Of Soil Seed Bank And Vegetation In Hot‐Dry Valley Grassland Of Jin‐Sha River, J. L. Zhang, Y. F. Bi

IGC Proceedings (1997-2023)

No abstract provided.


Tolerance Intervals For Time Series Models And Specifying Trimming/Winsorizing Cutoffs, Kedai Cheng Jan 2020

Tolerance Intervals For Time Series Models And Specifying Trimming/Winsorizing Cutoffs, Kedai Cheng

Theses and Dissertations--Statistics

Confidence intervals are used to capture a parameter of interest, usually a mean or a quantile, at a specified confidence level. Prediction intervals are another practical interval that aim at making sound predictions of future values with some confidence. Although these are useful inference tools, neither of them gives people a plausible range of the sampled population. Tolerance intervals are such an inference tool that captures a specified proportion of the sampled population at a predetermined confidence level. In this dissertation, tolerance intervals for an autoregressive process with order p are constructed. In addition, a method of utilizing tolerance interval …


Estimation Of Average Daily Traffic On Local Roads In Kentucky, Reginald R. Souleyrette, Brian K. Howell, Eric R. Green, William Nicholas Staats Jul 2016

Estimation Of Average Daily Traffic On Local Roads In Kentucky, Reginald R. Souleyrette, Brian K. Howell, Eric R. Green, William Nicholas Staats

Kentucky Transportation Center Research Report

Kentucky Transportation Cabinet (KYTC) officials use annual average daily traffic (AADT) to estimate intersection performance across the state maintained highway system. KYTC currently collects AADTs for state maintained roads but frequently lacks this information on local roads. A method is needed to estimate local road AADTs in a cost-effective and reasonable manner. Kentucky Transportation Center (KTC) researchers conducted a literature review on U.S. AADT models but found that none of them were suitable to Kentucky. Therefore, KTC developed an AADT model using non-linear regression to estimate AADTs on approaches to those intersections.

KTC developed a Poisson distributed, non-linear regression model …


Global Change Reactive Background Subtraction, Edwin Premkumar Sathiyamoorthy Jan 2011

Global Change Reactive Background Subtraction, Edwin Premkumar Sathiyamoorthy

University of Kentucky Master's Theses

Background subtraction is the technique of segmenting moving foreground objects from stationary or dynamic background scenes. Background subtraction is a critical step in many computer vision applications including video surveillance, tracking, gesture recognition etc. This thesis addresses the challenges associated with the background subtraction systems due to the sudden illumination changes happening in an indoor environment. Most of the existing techniques adapt to gradual illumination changes, but fail to cope with the sudden illumination changes. Here, we introduce a Global change reactive background subtraction to model these changes as a regression function of spatial image coordinates. The regression model is …


Road Rater Correlation, R. Clark Graves, David L. Allen Sep 1990

Road Rater Correlation, R. Clark Graves, David L. Allen

Kentucky Transportation Center Research Report

In this study, a correlation has been conducted between the Model 400B and the Model 2000 Road Rater. Also contained in this study, is a study of the linearity of the Road Rater measurements. Information gained from this study will provide better understanding of Road Rater measurements.