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Articles 11701 - 11730 of 195996
Full-Text Articles in Engineering
Foundational Robotics, Akshit Lunia, Ananya Nagabhushana Rao, Yue Wang
Foundational Robotics, Akshit Lunia, Ananya Nagabhushana Rao, Yue Wang
Robotics
This textbook is a product of Co-DREAM OER (Collaborative Development of Robotics, Mechatronics, and Advanced Manufacturing Open Educational Resources), a US Department of Education-funded initiative to develop Open Educational Resource textbooks on robotics, mechatronics, and advanced manufacturing processes. It has been created by a diverse team of scholars and graduate students from across the country and is intended for higher-level robotics courses offered by 4-year undergraduate programs.
Forecasting State-Level Construction Labor Earnings For Enhanced Project Cost Control: An Econometric And Deep-Learning Analysis Of The Leading Economic Indicators, Ahmed Shiha, Islam H. El-Adaway
Forecasting State-Level Construction Labor Earnings For Enhanced Project Cost Control: An Econometric And Deep-Learning Analysis Of The Leading Economic Indicators, Ahmed Shiha, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
As a major input to several work packages, the labor element constitutes a critical component for successful performance of construction projects. Localized labor shortages, fundamental changes in prevailing wage laws, and historical shifts in the unionization rates of construction workers impair the adequate estimation of construction labor costs in diverse labor market dynamics. Meanwhile, existing studies have utilized national-level indicators to study the trends of construction labor costs, but the relationship between the multifaceted local economic factors and state-level construction labor costs remains understudied. This paper fills such a knowledge gap. A three-stage methodology is adopted: (1) data collection of …
Cold Atmospheric Plasma Induced Degradation Of Organophosphate Pesticides On Kevlar Swatches, Ta Chun Lin, Victor Somtochukwu Mbanugo, Boluwatife Stephen Ojo, Yue-Wern Huang, Marek Locmelis, Frank Daoru Han
Cold Atmospheric Plasma Induced Degradation Of Organophosphate Pesticides On Kevlar Swatches, Ta Chun Lin, Victor Somtochukwu Mbanugo, Boluwatife Stephen Ojo, Yue-Wern Huang, Marek Locmelis, Frank Daoru Han
Biological Sciences Faculty Research & Creative Works
Cold atmospheric plasma (CAP) was evaluated for degrading organophosphate pesticide (OP) residues (acephate, malathion, and dimethoate) from Kevlar fabrics. Fourier transform-Infrared (FTIR) spectroscopy, scanning electron microscope (SEM) imaging and tensile strength testing confirmed that CAP treatment preserved Kevlar's structural integrity and mechanical properties. Results show degradation efficiency increased with higher power, shorter discharge gaps, and longer exposure duration. Hyperspectral imaging supported the detection of plasma-induced spectral changes, reinforcing the presence of reactive species. The strong oxidative potential of CAP facilitated the rapid breakdown of OPs into nontoxic byproducts. These findings demonstrate the potential of CAP as a portable, energy-efficient solution …
Guest Editorial, Li Ai, Xiao Tan, Arslan Akbar, Guirong Yan
Guest Editorial, Li Ai, Xiao Tan, Arslan Akbar, Guirong Yan
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
No abstract provided.
Polarimetry Based Radar Estimation Of Extreme Rainfall: Case Studies, Bong Chul Seo, Witold F. Krajewski, James A. Smith
Polarimetry Based Radar Estimation Of Extreme Rainfall: Case Studies, Bong Chul Seo, Witold F. Krajewski, James A. Smith
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The study evaluated radar-derived polarimetric rainfall estimates for extreme rain events that occurred in the Kansas City Metropolitan area in the United States. To derive quantitative precipitation estimates (QPE), we implemented two polarimetric algorithms based on specific attenuation (A) and specific differential phase (KDP), along with the reflectivity (Z) based one using data from two radars in the study area. The analysis to assess radar-rainfall estimates (R) utilizes ground observations from a dense network of about 170 rain gauges. Based on our analysis results, the two polarimetric estimates from R(A) and R(KDP) outperform the conventional estimation R(Z). R(A) appeared to …
Aqueous Carbonation Of Steel Slags: A Comparative Study On Mechanisms, Nannan Zhang, Gao Deng, Wenyu Liao, Hongyan Ma, Chuanlin Hu
Aqueous Carbonation Of Steel Slags: A Comparative Study On Mechanisms, Nannan Zhang, Gao Deng, Wenyu Liao, Hongyan Ma, Chuanlin Hu
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study investigated the aqueous carbonation mechanisms of three typical steel slags: ladle metallurgy furnace (LMF) slag containing high Al content, electric arc furnace (EAF) slag featuring high Si content and relatively low Al content, and ladle-arc fusion (LAF) slag with medium-Al content. It was found that the carbonation kinetics of the three slags were similar and followed the surface coverage model within the first 6 h of carbonation. Initially, the carbonation process was primarily governed by the reaction product precipitation. After 3 h of carbonation, the process was dominated by mineral dissolution, controlled by the uncovered reactive sites. The …
The Rhythm Of Renewables: Minute-By-Minute Insights From Kentucky, David S. Beyerle, Noah M. Stewart, Shaun E. Lavin, Chad C. Alkire, Heather Nikolic, Samuel Kelty, Ezekiel A. Boggs, Declan Boyle, Lawrence E. Holloway, Aron Patrick
The Rhythm Of Renewables: Minute-By-Minute Insights From Kentucky, David S. Beyerle, Noah M. Stewart, Shaun E. Lavin, Chad C. Alkire, Heather Nikolic, Samuel Kelty, Ezekiel A. Boggs, Declan Boyle, Lawrence E. Holloway, Aron Patrick
Electrical and Computer Engineering Faculty Publications
Kentucky’s renewable energy landscape beats with a distinct rhythm shaped by ever-changing variations in sunlight, wind, rainfall, and the ever-modernizing grid that connects them. This paper analyzes minute-by-minute performance data from seven renewable and storage assets owned and operated by the PPL Corporation in Kentucky, including hydroelectric, solar, wind, and lithium-ion battery systems. Using a full year of synchronized, high-resolution data from multiple sites in the Commonwealth, the study examines daily and seasonal capacity factor trends, explores correlations among generation types, and evaluates their alignment with utility load profiles. Our analysis found 279 hours—about 3.2% of the year—with zero renewable …
Reevaluating The Van’T Hoff And Arrhenius Equations: How Temperature And Pressure Affect Chemical Reaction Thermodynamics, Equilibrium, And Kinetics, Jianmin Wang
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The van’t Hoff equation, which is used to calculate the effect of temperature on equilibrium constants, was derived from the Gibbs – Helmholtz equation that relates the molar Gibbs free energy to the molar enthalpy of a chemical reaction. However, the Gibbs – Helmholtz equation was developed for systems that do not consider contributions of Gibbs free energy from chemical species. Consequently, the van’t Hoff equation and the Arrhenius equation derived from it are technically incomplete.
By employing Hess’s law and the appropriate Gibbs free energy equation for chemical reaction systems, this investigation develops theoretical equations to calculate the effects …
Smart Homes, Grids, And Electric Vehicles Large-Scale Integration Studies Employing Machine Learning And Optimization Techniques, Rosemary E. Alden
Smart Homes, Grids, And Electric Vehicles Large-Scale Integration Studies Employing Machine Learning And Optimization Techniques, Rosemary E. Alden
Theses and Dissertations--Electrical and Computer Engineering
Residential digital twins are fundamental to the smart grid transition, and thus, must be both accurate and representative of existing homes and scalable for large distribution systems. Within this dissertation, new machine learning (ML) and physics-based methodologies are applied to the major individual residential loads, energy storage devices, and resources in the US to develop computationally efficient digital twins and new optimal control strategies for the virtual power plant (VPP) concept. Big data from experimental field demonstrations with dedicated metering, thousands of residential smart meter profiles, and large national human behavior surveys are employed to develop ultra-fast scalable residential load …
The Effect Of Participation In A Place-Based Engineering Learning Experience On Engineering Career Aspiration Of Nebraska’S Rural Students: A Mixed Method Study, Samereh Soleimani Babadi
The Effect Of Participation In A Place-Based Engineering Learning Experience On Engineering Career Aspiration Of Nebraska’S Rural Students: A Mixed Method Study, Samereh Soleimani Babadi
Department of Agricultural and Biological Systems Engineering: Masters Project Reports
This study investigates the influence of a place-based, hands-on engineering learning experience on rural middle school students' engineering career aspirations, using Social Cognitive Career Theory (SCCT) as a framework. Employing a mixed-methods approach, we explored how these localized learning experiences shape students' career goals through socio-cognitive factors such as self-efficacy, outcome expectations, goals, and interest. Quantitative analysis of pre- and post-activity surveys revealed significant increases in career aspiration scores, particularly among students from farming backgrounds and female students with initially lower expectations. Path analyses indicated that self-efficacy and interest were the strongest mediators between Place-based learning and engineering career aspirations. …
Confections, Ashley S. Mcguire
An Improved Table Method For Coded Target Identification With Application To Photogrammetric Analysis Of Soil Specimen During Triaxial Testing, Xiaolong Xia, Xiong Zhang, Sara Fayek, Zhaozheng Yin
An Improved Table Method For Coded Target Identification With Application To Photogrammetric Analysis Of Soil Specimen During Triaxial Testing, Xiaolong Xia, Xiong Zhang, Sara Fayek, Zhaozheng Yin
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Accurate and efficient recognition and identification of coded targets are of great importance in coded target-based photogrammetry. Recently, a deep learning-based method has been utilized to recognize the coded targets. Then, a table method has been developed to decode the coded targets, identify falsely identified coded targets, and recover missing coded targets. This method takes advantage of the geometric arrangement of the coded targets. In this paper, an improved table method has been developed to improve the coded targets recognition and identification results. Blob analysis, instead of deep learning, is utilized to recognize coded targets. Then, the RANSAC algorithm was …
Ce 200 - 102: Surveying, Allison Lapatka
Ce 200 - 102: Surveying, Allison Lapatka
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 200a - 002, 004: Surveying Lab, Allison Lapatka
Ce 200a - 002, 004: Surveying Lab, Allison Lapatka
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 260 - 002, 004, 102, Hm2: Civil Engineerng Methods, Stephanie Santos
Ce 260 - 002, 004, 102, Hm2: Civil Engineerng Methods, Stephanie Santos
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 210 - 004: Constrn Matrls & Procdrs, Frank Golon
Ce 210 - 004: Constrn Matrls & Procdrs, Frank Golon
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 210 - 102, Hm2: Constrn Matrls & Procdrs, Maaz Choudhry
Ce 210 - 102, Hm2: Constrn Matrls & Procdrs, Maaz Choudhry
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 320 - 002, 102: Fluid Mechanics, Thomas Olenik
Ce 320 - 002, 102: Fluid Mechanics, Thomas Olenik
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 321 - 002, 102: Water Resources Engr, Thomas Olenik
Ce 321 - 002, 102: Water Resources Engr, Thomas Olenik
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 332 - 102: Hydraulic Engineering, Sunil Saigal
Ce 332 - 102: Hydraulic Engineering, Sunil Saigal
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 332 -002: Structural Analysis, Mohamad Saadeghvaziri
Ce 332 -002: Structural Analysis, Mohamad Saadeghvaziri
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 333 - 002: Reinforced Concrete Design, Matthew Bandelt
Ce 333 - 002: Reinforced Concrete Design, Matthew Bandelt
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 333 - 102: Reinforced Concrete Design, Eduardo Castro
Ce 333 - 102: Reinforced Concrete Design, Eduardo Castro
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 341 - 004: Soil Mechanics, Andrew Ciancia
Ce 341 - 004: Soil Mechanics, Andrew Ciancia
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 341a - 002: Soil Mechanics Lab, Ayodeji Aderibigbe
Ce 341a - 002: Soil Mechanics Lab, Ayodeji Aderibigbe
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 341a - 004: Soil Mechanics Lab, Prabhakar Khadka
Ce 341a - 004: Soil Mechanics Lab, Prabhakar Khadka
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 342 - 002, 004: Geology, John Schuring
Ce 342 - 002, 004: Geology, John Schuring
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 342 - 106: Geology, Alan Slaughter
Ce 342 - 106: Geology, Alan Slaughter
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 350 - 102: Transportation Engineering, Branislav Dimitrijevic
Ce 350 - 102: Transportation Engineering, Branislav Dimitrijevic
Civil and Environmental Engineering Syllabi
No abstract provided.
Ce 350 - 106: Transportation Engr, Yun Bai
Ce 350 - 106: Transportation Engr, Yun Bai
Civil and Environmental Engineering Syllabi
No abstract provided.