Engineering Commons^™

Engr 691: Trustworthy Machine Learning, University Of Mississippi. School Of Engineering

GMAS Course Syllabi

No abstract provided.

Editorial For Special Issue “Design, Modeling, Optimization And Control Of Flotation Process”, Fardis Nakhaei, Ahmad Hassanzadeh, Luis A. Cisternas

Mining Engineering Faculty Research & Creative Works

No abstract provided.

Editorial For Special Issue “Design, Modeling, Optimization And Control Of Flotation Process”, Fardis Nakhaei, Ahmad Hassanzadeh, Luis A. Cisternas

Mining Engineering Faculty Research & Creative Works

No abstract provided.

Utilizing Ensemble Learning In The Classifications Of Ductile And Brittle Failure Modes Of Uhpc Strengthened Rc Members, Woubishet Zewdu Taffese, Yanping Zhu, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study aims to achieve the swift and precise classification of ductile and brittle failure modes in flexural reinforced concrete (RC) members, specifically those with tension sides strengthened by ultrahigh performance concrete (UHPC). Employing six ensemble learning techniques—Bagging, Random Forest, AdaBoost, Gradient Boosting, XGBoost, and LightGBM—the authors utilize a comprehensive dataset comprising 14 features, which include manually labeled failure modes obtain from load–deflection curves. The model training spans four scenarios, varying in the inclusion or exclusion of features describing the cross-sectional area of RC members and moment resistance. XGBoost emerges as the most effective classifier, achieving an impressive 84% accuracy …

Ct Image Segmentation Using Optimization Techniques Under Neutrosophic Domain, Doaa El-Shahat, Nourhan Talal, Jun Ye, Wen-Hua Cui

Neutrosophic Systems with Applications

In this paper, we introduce a hybrid technique between optimization algorithms and neutrosophic theory. This new hybridization can deal with uncertainties in brain computed tomography (CT) images in three different memberships very effectively. To prove the real-time application of this theory, a new segmentation method for brain CT medical images is presented. The grayscale medical image suffers from uncertainties and inconsistencies in the gray levels due to their bad luminance. The proposed technique addressed this problem by performing neutrosophic operations on gray levels based on the S membership function.

A Connected-Component Improvement Procedure For Relative Isolation Probability Calculation, Renzo Roel P. Tan, Kazushi Ikeda

Quantitative Methods and Information Technology Faculty Publications

Due to the prevalence of natural disasters, the resilience of networks that provide essential services to the population has been studied. A recent contribution is the probability of relative isolation, which measures the likelihood of a demand node to be unreachable by supply nodes. The existing procedure for calculation is an enumerative decision-diagram-based approach that may be resource-intensive especially on occasions when time and memory constraints are imposed. In response, the study reverse-engineers the current method towards increased efficiency. The proposed solution hinges on the breadth-first search, producing connected components based on the sources. The algorithm is then benchmarked on …

Modeling Injury Severity Of Truck-Involved Crashes Under Covid-19 Regulatory Changes, William Mckenzie

Civil and Environmental Engineering Master's Project Reports

At the start of the pandemic the Federal Motor Carrier Safety Administration issued declaration No. 2020-002 which included a long list of goods given temporary emergency relief (deregulation) from national statutes 49 CFR Parts 390-399 of the Federal Motor Carrier Safety Regulations that oversee trucking. In particular, this granted emergency relief from Title 49 CFR § 395.3: maximum driving time for motor carriers or their drivers, regarded as hours-of-service (HOS), and subsequently further expanded to include short-haul trips, adverse driving conditions, break requirements, and sleeper berths. Regulations which play a crucial role in establishing the safe operation and management of …

Rethinking Wind In Kentucky, Lawrence E. Holloway, Aron Patrick, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Recent analyses and developments suggest that wind energy could play a role in Kentucky's future power generation mix. This recent change in outlook for Kentucky wind has been driven by three factors: (1) improved wind turbine technologies, (2) improved economics, and (3) recent analyses showing improved grid reliability due to wind's complementarity to solar power generation.

Annual Report 2024, Brandy Mcknight, Estevan Garcia

College of Engineering and Science Annual Reports

I'm excited to share that the 2023-2024 academic year has been another success. While the year has had its share of challenges, our faculty, staff, and students have met every one with the indomitable Bulldog spirit that has defined our University and College for decades.

Faculty and staff continue to impact students through their steady guidance and commitment to the Tenets of Tech, and our students continue to grow - not just academically, but as the leaders of tomorrow. The problems they are solving here have a real and lasting impact on the world around us. You'll learn about some …

Multifunctional Models In Digital And Physical Twinning Of The Built Environment—A University Campus Case Study, Genda Chen, Ibrahim Alomari, Woubishet Zewdu Taffese, Zhenhua Shi, Mohammad Hossein Afsharmovahed, Tarutal Ghosh Mondal, Son Nguyen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The Digital Twin (DT) Concept Has Been Developed for a Single Function in Previous Studies. This Study Aims to Empower DTs with a Layered Integration of Multifunctional Models in the Built Environment. It Develops a Framework of DT Modules in Three Hierarchical Tiers: Region, Asset, and System; Defines a New Concept of the Degree of Digital Twinning (DODT) to the Real World by the Number of Models Enabled by a Common DT Platform; and Enables Spatiotemporal Analysis in Multiple Scales to Couple Nonstructural with Structural Building Components and Connect the Built Environment to Planning Constructions. While the Asset and System …

10 Meters To Disaster: The Challenges Of Premature Application Of Circular Economy Strategies In Jakarta’S Waste Management Structure, Almira Bowo

Independent Study Project (ISP) Collection

Jakarta's complex issue of waste management encompasses a multitude of challenges that include inefficiencies in infrastructure, a lack of public awareness of the consequences of an inadequate waste system, socioeconomic disparities, and a deficiency in intersectoral collaboration. The urgency for holistic and sustainable solutions that prioritize proactive waste collection is underscored by the complexities of these dynamics. This field study paper argues that the attention that is being drawn towards trending waste management innovations, which are reactive strategies, could bring the waste crisis in Jakarta to an even more critical state. The sections will critically examine current waste management efforts …

Accommodating Spatio-Temporal Dependency In Airline Demand Modeling, Sudipta Dey Tirtha, Tanmoy Bhowmik, Naveen Eluru

Civil and Environmental Engineering Faculty Publications and Presentations

The objective of the current study is to examine monthly air passenger departures at the airport level considering spatial interactions between airports. In this study, we develop a novel spatial grouped generalized ordered probit (SGGOP) model system of monthly air passenger departures at the airport level. Specifically, we estimate two variants of spatial models including spatial lag model and spatial error model. In the presence of repeated demand measures for the airports, we also consider temporal variations of spatial correlation effects among proximally located airports by employing space and time-based weight matrix. The proposed model is estimated using monthly air …

Microwave Holography For Emi Source Imaging, Xin Yan, Jiangshuai Li, Wei Zhang, Kaustav Ghosh, Philippe Sochoux, Daryl G. Beetner, Victor Khilkevich

Electrical and Computer Engineering Faculty Research & Creative Works

Emission Source Microscopy Technique Can Be Utilized to Localize the Radiation Sources in Complex and Electrically Large Electronic Systems. in the Two-Dimensional Emission Source Microscopy Algorithm, Both Magnitude and Phase of the Field Need to Be Measured, and a Vector Network Analyzer or an Oscilloscope Has to Be Used as a Receiver, Resulting in Reduced Signal-To-Noise Ratio and Longer Measurement Time Compared to a Spectrum Analyzer (SA). in This Article, a Phase less Electromagnetic Interference Source Imaging Method is Proposed based on Microwave Holography. the Field Produced by the Device under Test is Not Measured Directly, Instead, the Interference Pattern …

Risk–Reward Share Allocation Under Different Integrated Project Delivery Relational Structures: A Monte-Carlo Simulation And Cooperative Game Theoretic Solutions Approach, Radwa Eissa, Mohamad Abdul Nabi, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Sharing of risks and rewards is considered to be one of the key benefits and principles of integrated project delivery (IPD). Despite its importance, risk–reward strategies are not implemented widely in IPD construction projects due to the lack of a well-defined basis for establishing adequate allocation plans. This paper fills this knowledge gap. This research followed a multistep methodology. First, the authors calculated the risk control valuations of all potential combinations of coalitions for IPD stakeholders. This was performed using interrelated steps of risk identification and quantification, risk assignment based on associated contractual analysis, establishment of a coordination network, and …

Toward Improved Shared Micromobility Implementation: A Data-Driven Approach To Overcome Challenges And Explore Next-Generation Acceptance, Myriam Zakhem

Civil and Environmental Engineering Theses and Dissertations

Rapid transportation advancements over the last several years have resulted in new personal mobility modes, such as shared micromobility (e.g., e-scooters, bikes, and e-bikes). These short-term rental vehicles expand transportation mobility by offering affordable, convenient, and efficient options that are easy to access. The rapid expansion of dockless micromobility systems presents major opportunities and challenges for cities, leading some to ban these services within their jurisdiction. To enhance the effectiveness of dockless shared micromobility services, address challenges created by these services, and achieve better implementation performance, cities need efficacious strategies to tackle major challenges. This dissertation contributes to the body …

Transport Of Multi-Phase Multi-Component Fluids In The Shallow Subsurface Influenced By Soil And Surface Boundary Conditions: Experimental And Numerical Study With Application To Natural Gas Leakage, Navodi Jayarathne

Civil and Environmental Engineering Theses and Dissertations

With the increased use of Natural Gas (NG) as a source of fuel, underground leak-related events are increasingly reported, and some are fatal. Subsurface migration and development up to flammable limits are highly dependent on leak characteristics, soil, atmospheric variables, and other surface and subsurface structural complexities. Although few studies have characterized the transient behavior of leaked NG in the shallow subsurface, the underlying mechanisms and their interactions are not well understood, which prevents prediction of the impact of environmental and operating conditions on gas migration. The study conducted a series of field scale-controlled release experiments and numerical simulations to …

The Dynamic Response And Damage Evolution Of High-Strength Concrete, Mohamed Abbas

Mechanical Engineering Research Theses and Dissertations

Concrete stands as the most extensively used construction material in both military and civil structural applications, attributed to its excellent durability and high impact resistance. Over the years, high-strength concrete (HSC) has evolved to withstand higher compressive strengths, making it a viable substitute for conventional concrete (CC) in many applications. Hence, HSC is commonly used for structures and structural elements that are exposed to extreme loading conditions such as hurricanes, wave impacts, ship-bridge collisions, explosions, earthquake loads, etc. The mechanical response of concrete subjected to dynamic loading conditions differs dramatically from its response under quasi-static conditions due to its inherent …

Guidebook For Project Management, Jill Asher, Keith Caudill, Travis Thompson, Jeff Jasper, Chris Van Dyke, Samantha Wright, Bryan Gibson, Pam Clay-Young, Candice Wallace

Kentucky Transportation Center Research Report

For the Kentucky Transportation Cabinet’s (KYTC) Department of Highways, project development encompasses all the work activities needed to move a transportation project from concept and project initiation to construction letting. Developing projects efficiently requires the adoption of sound project management practices. Although KYTC has a long track record of executing complex projects, doing so is increasingly challenging due to staff attrition and the attendant loss of institutional knowledge. Today’s entry- and mid-level project managers have more responsibilities than ever but lack a trusted source of guidance to help them manage projects from development through completion. The objective of this study …

Design And Simulation Of Flow Channel Of Polymer Electrolyte Membrane Fuel Cell (Pemfc), Rishya Shringhan Ravichandran

Masters Theses

In Polymer Electrolyte Membrane Fuel Cell (PEMFC), flow channel plays an important role on the performance of the cell. This study mainly focuses on the simulation of flow channel under various conditions. A three-dimensional mode of PEMFC with 25cm² of active area was employed to simulate the flow channel of PEMFC which has various designs. The flow channel designs such as single serpentine, bi-serpentine and tri-serpentine channels were investigated using ANSYS FLUENT software. Initially, the flow channel width of 2mm was examined. The obtained results were compared to the experimental data to validate the model. Then, the dimension of …

Reducing Vehicle Licensing And Titling Fraud, Mallory Brown, Andrew Martin, Jeeyen Koo, Jennifer Walton

Kentucky Transportation Center Research Report

This study reviews Kentucky’s vehicle licensing and registration program, evaluates methods of motor vehicle title fraud, examines current anti-fraud mechanisms in Kentucky, reports on vehicle titling and anti-fraud efforts in other states, assesses Ohio’s vehicle inspection program, and develops a proposal for a new Kentucky rebuilt title inspection program. Researchers developed the proposal based on historical Kentucky vehicle registration and titling data, a survey of other states, and other information provided by Kentucky’s Division of Motor Vehicle Licensing and other agency partners. Kentucky historical data revealed consistently high numbers of salvage title applications as well as spatial concentration in rebuilt …

Single Wall Carbon Nanotubes For The Detection Of Misfolded Proteins In Neuro-Degenerative Disorders, Stefanie Vining

Senior Honors Projects

Single wall carbon nanotubes (SWCNT) are one-dimensional carbon nanomaterials made up of a singular layer of graphene. These nanotubes can be functionalized with different molecules for various bio-sensing/imaging applications. SWCNTs are unique in their ability to be used as long-term multiplexed sensors due to their photostability and ability to remain fluorescent.

This project focused on the functionalization of SWCNTs to detect misfolded proteins for early detection of neuro-degenerative diseases like Alzheimers. Currently, there is no simple way to detect these misfolded proteins and diagnose for diseases like Alzheimers, Parkinsons, or ALS, and a confirmed diagnosis can take upwards of six …

Estimating Direction Of Arrival For Multi-Arm Spiral Antennas Using Machine Learning, Samuel Pearson

Honors Theses

Military systems require monitoring a wide frequency range of the RF spectrum to detect and monitor enemy targets. A vital component of that is calculating the direction of arrival of enemy radars. The use of compressive sensing architectures like the Nyquist Folding Receiver (NyFR) allow for computationally cheap capturing of wideband signals; however, these techniques make traditional direction of arrival (DOA) estimation techniques difficult. Given the advantages of compressive sensing, this research aims to apply machine learning (ML) techniques to multi-arm spiral antennas to estimate the incoming DOA. Software like MATLAB was used to simulate the multi-arm spiral antenna and …

Assistive Mobile Manipulator For People With Limited Mobility, Matthew Tognotti

Electrical and Computer Engineering Senior Theses

This project develops a robotic system that allows a mobile manipulator to help individuals with mobility limitations perform daily tasks. The primary goal is to enhance independence by enabling users to retrieve items necessary for daily routines, such as preparing for work or school. The system allows users to interact with the robot using structured voice commands and uses a rule-based approach so that the robot can learn tasks to be repeated in future interactions. An experimental setup is developed to evaluate the proposed system in a pilot study of 10 adult participants. The preliminary results from the pilot study …

Deciphering The Controlling Factors For Phase Transitions In Zeolitic Imidazolate Frameworks, Tao Du, Shanwu Li, Sudheer Ganisetti, Mathieu Bauchy, Yuanzheng Yue, Morten M. Smedskjaer

Michigan Tech Publications

Zeolitic imidazolate frameworks (ZIFs) feature complex phase transitions, including polymorphism, melting, vitrification, and polyamorphism. Experimentally probing their structural evolution during transitions involving amorphous phases is a significant challenge, especially at the medium-range length scale. To overcome this challenge, here we first train a deep learning-based force field to identify the structural characteristics of both crystalline and non-crystalline ZIF phases. This allows us to reproduce the structural evolution trend during the melting of crystals and formation of ZIF glasses at various length scales with an accuracy comparable to that of ab initio molecular dynamics, yet at a much lower computational cost. …

Mechanistic Empirical Design Of Flexible Pavements For Biopolymer Treated Soils, Vishweshwaran M

Theses and Dissertations

Cognizing the contamination effects of chemical soil modifiers on soil and groundwater, the assessment of the ability of biopolymers to improve the engineering properties of soils has gained attention in the last decade. As a soil additive, biopolymers have the potential to solve the trilemma of sustainability, price and soil suitability. Two polysaccharides and two protein biopolymers have been adopted in this study to enhance the geotechnical properties of fine-grained soils.

Design thickness catalogues were developed for a three-layered flexible pavement using 3D finite element analysis (FEA) and layered elastic analysis. The catalogue aims to provide structurally reliable thickness values …

Experimental, Computational, And Machine Learning Methods For Prediction Of Residual Stresses In Laser Additive Manufacturing: A Critical Review, Sung Heng Wu, Usman Tariq, Ranjit Joy, Todd Sparks, Aaron Flood, Frank W. Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In recent decades, laser additive manufacturing has seen rapid development and has been applied to various fields, including the aerospace, automotive, and biomedical industries. However, the residual stresses that form during the manufacturing process can lead to defects in the printed parts, such as distortion and cracking. Therefore, accurately predicting residual stresses is crucial for preventing part failure and ensuring product quality. This critical review covers the fundamental aspects and formation mechanisms of residual stresses. It also extensively discusses the prediction of residual stresses utilizing experimental, computational, and machine learning methods. Finally, the review addresses the challenges and future directions …

Insight Into Uniform Filming Of Lif-Rich Interphase Via Synergistic Adsorption For High-Performance Lithium Metal Anode, Yufang He, Li Wang, Aiping Wang, Bo Zhang, Hiep Pham, Jonghyun Park, Xiangming He

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Multi-scale simulation is an important basis for constructing digital batteries to improve battery design and application. Lif-rich solid electrolyte interphase (sei) is experimentally proven to be crucial for the electrochemical performance of lithium metal batteries. However, the lif-rich sei is sensitive to various electrolyte formulas and the fundamental mechanism is still unclear. Herein, the structure and formation mechanism of lif-rich sei in different electrolyte formulas have been reviewed. On this basis, it further discussed the possible filming mechanism of lif-rich sei determined by the initial adsorption of the electrolyte-derived species on the lithium metal anode (lma). It proposed that individual …

Towards A Wearable Device For Measuring Impedance Plethysmography Of The Radial Artery, Pritom Chowdhury

Dartmouth College Master’s Theses

Recent advancements in bioimpedance technology have demonstrated significant promise in the application of cardiac health monitoring. This research explores the design and development of a forearm-based wearable bioimpedance device for non-invasive measurement of heart rate and respiratory rate at an accuracy level comparable to medical-grade monitors. It utilizes a tetrapolar electrode configuration to analyze bioimpedance changes in the radial artery due to blood flow.

An ongoing aspect of this work involves the preliminary development of an embedded framework intended to integrate signal generation, acquisition, and processing within the device to achieve compact and efficient system design, anticipated to contribute to …

Exploring Lstm-Based Attention Mechanisms With Pso And Grid Search Under Different Normalization Techniques For Energy Demands Time Series Forecasting, Andri Pranolo, Xiaofeng Zhou, Yingchi Mao, Bambang Widi Pratolo, Aji Prasetya Wibawa, Agung Bella Putra Utama, Abdoul Fatakhou Ba, Abdullahi Uwaisu Muhammad

Knowledge Engineering and Data Science

Advanced analytical approaches are required to accurately forecast the energy sector's rising complexity and volume of time series data. This research aims to forecast the energy demand utilising sophisticated Long Short-Term Memory (LSTM) configurations with Attention mechanisms (Att), Grid search, and Particle Swarm Optimization (PSO). In addition, the study also examines the influence of Min-Max and Z-Score normalization approaches in the preprocessing stage on the accuracy performances of the baselines and the proposed models. PSO and Grid Search techniques are used to select the best hyperparameters for LSTM models, while the attention mechanism selects the important input for the LSTM. …

Hybrid Method For User Review Sentiment Categorization In Chatgpt Application Using N-Gram And Word2vec Features, Husna Luthfiatun Nisa, Atina Ahdika

Knowledge Engineering and Data Science

The rapid development of Artificial Intelligence (AI) has significantly influenced nearly all aspects of life. One AI product widely used by people worldwide is the Chat Generative Pre-Training Transformer (ChatGPT), which can respond to questions conversationally. Although data indicates that the use of ChatGPT in Indonesia is less widespread than in other countries, a Populix survey reveals that half of the respondents have utilized ChatGPT, using AI more than once a month. This indicates its crucial role among the Indonesian population. ChatGPT is not limited to browsers; it is also available as a downloadable application on the Google Play Store. …