Engineering Commons^™

Aligning Best Practices In Student Success And Career Preparedness: An Exploratory Study To Establish Pathways To Stem Careers For Undergraduate Minority Students, Kimberly D. Kendricks, Anthony A. Arment, K. V. Nedunuri, Cadance A. Lowell

Journal of Research in Technical Careers

Undergraduate minority retention and graduation rates in STEM disciplines is a nationally recognized challenge for workforce growth and diversification. The Benjamin Banneker Scholars Program (BBSP) was a five-year undergraduate study developed to increase minority student retention and graduation rates at an HBCU. The program structure utilized a family model as a vehicle to orient students to the demands of college. Program activities integrated best K-12 practices and workforce skillsets to increase academic preparedness and career readiness. Findings revealed that a familial atmosphere improved academic performance, increased undergraduate research, and generated positive perceptions of faculty mentoring. Retention rates among BBSP participants …

Introduction For The Special Issue On Beyond The Hypes Of Geospatial Big Data: Theories, Methods, Analytics, And Applications, Qianxing Wang, Allison Kealy, Shengjie Zhai

Mechanical Engineering Faculty Research

We live in the era of ‘Big Data’. In particular, Geospatial data, whether captured through remote sensors (e.g., satellite imagery) or generated from large-scale simulations (e.g., climate change models) have always been significantly large in size. Over the last decade however, advances in instrumentation and computation has seen the volume, variety, velocity, and veracity of this data increase exponentially. Of the 2.5 quintillion (1018) bytes of data that are generated on a daily basis across the globe, a large portion (arguably as much as 80%) is found to be geo-referenced. Therefore, this special issue is dedicated to the innovative theories, …

A Graph-Based Reinforcement Learning Method With Converged State Exploration And Exploitation, Han Li, Tianding Chen, Hualiang Teng, Yingtao Jiang

Civil and Environmental Engineering and Construction Faculty Research

In any classical value-based reinforcement learning method, an agent, despite of its continuous interactions with the environment, is yet unable to quickly generate a complete and independent description of the entire environment, leaving the learning method to struggle with a difficult dilemma of choosing between the two tasks, namely exploration and exploitation. This problem becomes more pronounced when the agent has to deal with a dynamic environment, of which the configuration and/or parameters are constantly changing. In this paper, this problem is approached by first mapping a reinforcement learning scheme to a directed graph, and the set that contains all …

Analysis Of Radiation Damage In Electronics Of Unmanned Aerial And Ground Robotic Platforms, Monia Kazemeini, Alex Barzilov, Woosoon Yim, Jean Chagas Vaz

Graduate & Professional Student Association Research Forum

• Radiation measurements are necessary for a routine monitoring of nuclear facilities and during emergencies, such as the Fukushima Daiichi nuclear power plant accident

• Robotic platforms are utilized to carry radiation sensors to allow for remote sensing and sampling operations

• Unmanned Aerial Systems (UAS) and Unmanned Ground Vehicle (UGV)

• Robots might be exposed to the ionizing radiation (high dose levels are possible)

• Irradiation causes defects in devices and components leading to malfunctions and limiting the robot capabilities, decreasing its operational time

• The goal is to complete scheduled tasks while the robot is being irradiated

• …

Infection Control In Total Knee Replacement Prosthesis Using Nitric Oxide Releasing Biomaterials, Ashley Widing

Master's Theses

Replacing a weight-bearing joint is accompanied by long procedures, even longer recovery times, and intensive monitoring. This burden increases after infection; a complication requiring revision surgeries and therefore extensive additional recovery time. Infection can present itself at any time during the process, making it hard to predict. Currently, a two-part revision surgery is completed by removing all infected tissue and implanting an antibiotic spacer. The spacer fills the joint gap and is removed prior to the revision total knee replacement. A revision total knee replacement follows the same procedure as the initial surgery. Not only is this detrimental to patient …

Variability Of E. Coli In Streambed Sediments And Its Implication For Water Quality, Sadia Salam

Electronic Theses and Dissertations

Fecal indicator bacteria (FIB), including E. coli, are the number one cause of water quality impairments in the United States according to the USEPA. FIB are used as a predictor to identify the possible presence of pathogens in waterbodies. E. coli is a useful indicator of gastrointestinal (GI) related illnesses from contact with fresh water. While surface water is routinely monitored for water quality, streambed sediments are rarely considered as a source of FIB to the overlying water column. This study focuses on understanding the variation of E. coli concentrations in streambed sediments and the potential impact of sediment sources …

Aluminum And Silicon Metal-Semiconductor-Metal (Msm) X-Ray Photodetector, Cinthya Dallana Barbosa Medina

Graduate Research Theses & Dissertations

The main goal of this research was to construct a metal-semiconductor-metal (MSM) device, that could detect x-rays. The following thesis covers the theory behind MSM devices, as well as the theory of detecting x-rays. More importantly, we showed that aluminum was transparent to x-rays, therefore allowing our MSM device to detect only x-rays.

Both p-type and n-type MSM wafers resulted in the predicted Schottky curve. By analyzing our various configurations, we hypothesis the ideal dimensions for this device configuration. We also showed that the effect caused by the interaction with regular light.

Apart from what was accomplished in this paper …

A Lagrangian-Based Heuristic To Consolidate Perishable Products, Samir Babu Bhetwal

Graduate Research Theses & Dissertations

A consolidation center with multiple suppliers and multiple destinations for a perishable product is considered in this research. Perishable products deteriorate with time and this research includes a deterioration cost to measure this behavior. The model considers a variety of suppliers ranging from small to mid-sized. Due to dependencies of inventory and shipment release decisions, an integrated approach of making the operational decisions is necessary. This coordinated approach considers deterioration cost, inventory cost, and transportation cost.

Tradeoff decisions between different supply chain costs are not straightforward as the problem contains constraints like inventory capacity and transportation constraints from suppliers to …

Wavelet-Eigen Analysis For Customizable Flexion Classifier Based On Electromyography Signals, Luke S. Bonnen

Graduate Research Theses & Dissertations

This research will cover Electromyography (EMG) and its use in prosthetics. There are many upper limb amputees that use EMG to control a prosthetic limb. While many of these prostheses are proportionally controlled, meaning they can control one movement proportional to the EMG amplitude, there is a continual need to improve function for quality of life. Proportional control is traditionally utilized for opening and closing of the hand. It is the desire of engineers to find ways to add more functionality without sacrificing reliability. There are systems that do these additional actions, but they have difficulty with reliability because of …

Effect Of Perturbations On The Dominant Flow Structures In A Rectangular Lid-Driven Cavity With Particle Suspensions, Siva Bolisetty

Graduate Research Theses & Dissertations

The lid-driven cavity is a canonical problem in the field of analytical and computational fluid dynamics. This work is focused on a 2-D rectangular cavity with a length twice the size of its width and consists of an incompressible fluid with a moving upper wall/lid while the rest of the wall boundaries are subjected to fixed, no-slip, zero-velocity boundary conditions. The objective is to investigate the effect of perturbations resulting from particle drag and particle collisions on dominant flow structures of the fluid within this cavity. The dominant flow structures in a rectangular lid-driven cavity constitute a primary vortex, a …

Carbon Deposition On Ni/Ysz Anode Sofc For Direct Methane Steam Reforming, Haiyang Li

Graduate Theses, Dissertations, and Problem Reports (ETD)

Solid Oxide Fuel Cells (SOFCs) are electrochemical devices that produce electricity directly from oxidizing fuels. Compared to direct combustion of hydrogen to generate power, it has a big advantage in aspects from efficiency and safety when using hydrogen as the fuel of SOFCs. Hydrocarbon reforming is one of the conventional methods to convert natural gas into hydrogen. While considering the difficulty in storage and transportation of hydrogen, we can utilize the supporting materials on the anode side of SOFCs as catalyst to generate hydrogen via hydrocarbon reforming process and pour the hydrogen as fuel into the SOFC system. Ni/YSZ is …

Scheduling For Cooperative Energy Harvesting Sensor Networks, Ahmed Ammar

Graduate Theses, Dissertations, and Problem Reports (ETD)

In cooperative communication networks, the source node transmits its data to the destination either directly or cooperatively with a cooperating node. When using energy harvesting technology, where nodes collect their energy from the environment, the energy availability at the nodes becomes unpredictable due to the stochastic nature of energy harvesting processes. As a result, when the source has a transmission, it cannot immediately transmit its data cooperatively with the cooperating node. It first needs to determine whether the cooperating node has sufficient energy to forward its transmission or not. Otherwise, its transmitted data may get lost. Therefore, when using energy …

Immunity-Based Framework For Autonomous Flight In Gps-Challenged Environment, Mohanad Al Nuaimi

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this research, the artificial immune system (AIS) paradigm is used for the development of a conceptual framework for autonomous flight when vehicle position and velocity are not available from direct sources such as the global navigation satellite systems or external landmarks and systems. The AIS is expected to provide corrections of velocity and position estimations that are only based on the outputs of onboard inertial measurement units (IMU). The AIS comprises sets of artificial memory cells that simulate the function of memory T- and B-cells in the biological immune system of vertebrates. The innate immune system uses information about …

Analysis Of The Integration Of Dfm Techniques And Effective Machining Parameter Selection In Metal Parts Manufacturing, Omar Ahmed Al-Shebeeb

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation investigates the minimization of part design with self-locating features. The research focuses primarily on self-fastening characteristics, standardization of parts, and minimal use of fasteners. Further, the present research studies the design for base parts in the construction of a moving joint system, in order to locate potential part and system design improvements. This process may then be extended to industrial applications in the manufacturing industry. Relatively little work to date has examined the significance of Design for Manufacturing Techniques (DFMT), with their inherent machine element systems and machining parameters to investigate which DFMT has the most influence on …

Kidney Ailment Prediction Under Data Imbalance, Ranaa Mahveen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Chronic Kidney Disease (CKD) is the leading cause for kidney failure. It is a global health problem affecting approximately 10% of the world population and about 15% of US adults. Chronic Kidney Diseases do not generally show any disease specific symptoms in early stages thus it is hard to detect and prevent such diseases. Early detection and classification are the key factors in managing Chronic Kidney Diseases.

In this thesis, we propose a new machine learning technique for Kidney Ailment Prediction. We focus on two key issues in machine learning, especially in its application to disease prediction. One is related …

Conceptual Design Of Male Uavs, Vincent Spada

Graduate Theses, Dissertations, and Problem Reports (ETD)

The conceptual design process of aircraft involves the creation of a product, in this case UAVS (unmanned aerial vehicles), using the most effective means possible across multiple subdisciplines of Aerospace Engineering. This paper will outline a unique methodology that involves calculating certain design variables such as wing loading, power loading, aspect ratio and cruise altitude in the conceptual design phase for MALE (medium altitude long endurance) UAVs. Aircraft characteristics from MALE UAVs such as the MQ-9 predator and MQ-1 reaper will used for a comparative aircraft study as “jumping off” points in order to carry out the initial calculations. An …

Development Of A Sustainability Evaluation And Control Framework For Chemical Processes, Shuyun Li

Graduate Theses, Dissertations, and Problem Reports (ETD)

Industry, government, and society have begun to shift from economic stand-alone focus to the inclusion of sustainability in the decision-making process. This shift can be attributed to the growing environmental and social awareness that makes consumers and stakeholders not only care about product quality and cost, but also products and processes that minimize the environmental impact and conserve natural resources. As a result, some progress has been made in recognizing and understanding the challenges of sustainable development, which helps evaluating the sustainability performance of a specific process/product. In particular, sustainability assessment tools and methodologies have been developed to help the …

Low-Power Reconfigurable Sensing Circuitry For The Internet-Of-Things Paradigm, Alexander Dilello

Graduate Theses, Dissertations, and Problem Reports (ETD)

With ubiquitous wireless communication via Wi-Fi and nascent 5th Generation mobile communications, more devices -- both smart and traditionally "dumb" -- will be interconnected than ever before. This burgeoning trend is referred to as the Internet-of-Things. These new sensing opportunities place a larger burden on the underlying circuitry that must operate on finite battery power and/or within energy-constrained environments. New developments of low-power reconfigurable analog sensing platforms like field-programmable analog arrays (FPAAs) present an attractive sensing solution by processing data in the analog domain while staying flexible in design. This work addresses some of the contemporary challenges of low-power wireless …

The Impact Of Permeability Heterogeneity On Liquid Recovery From Gas Condensate Reservoir, Bashayer Alsanea

Graduate Theses, Dissertations, and Problem Reports (ETD)

In gas condensate reservoirs, when reservoir pressure drops below dew point pressure as production takes place at the surface, hydrocarbon liquids begin to form. The volume of the liquid formed in the reservoir increases as the reservoir pressure declines below dew point pressure. In most gas condensate reservoirs, the liquid saturation in the formation does not reach to the critical level for liquid flow to occur. Therefore, the liquid formed as result of the pressure decline becomes trapped in the formation. The formation of the liquid in the reservoir causes the produced gas composition to change continuously leading to lower …

Design Of Geothermal District Heating And Cooling System For The West Virginia University, Oluwasogo Bolaji Alonge

Graduate Theses, Dissertations, and Problem Reports (ETD)

Recent Appalachian Basin Geothermal Play Fairway Analysis estimated elevated heat flows in north-central West Virginia. This region provides an optimal and unique combination of elevated temperatures and flow necessary for geothermal development along with year-round surface demand for heating and cooling on the campus. Therefore, West Virginia University’s (WVU’s) Morgantown campus has been identified as a prime location in the eastern United States for the development of a geothermal direct-use heating and cooling application. The objective of this study was to perform a feasibility analysis for the development of a geothermal district heating and cooling (GDHC) system for WVU campus …

Enhancing The Thermoelectric Performance Of Calcium Cobaltite Ca3co4o9 Through Single And Dual Elements Doping, Cesar Octavio Romo De La Cruz

Graduate Theses, Dissertations, and Problem Reports (ETD)

Worldwide energy consumption losses more than 60% of the energy after its conversion, most of these losses are in the form of waste heat. Therefore, it is a matter of utmost importance to harness waste heat and reutilize this energy source to improve the overall conversion efficiency. Thermoelectric (TE) technology is one of the rising alternatives to harvest the excessive amount of energy lost as waste heat for a better and sustainable energy future. TE materials can utilize waste heat to improve efficiency in the ever-increasing demand for energy by converting a temperature difference directly into electricity due to the …

Energy Efficiency Evaluation Of Blower Heater Non-Purge Compressed Air Dryers, Alexandra M. Botts

Graduate Theses, Dissertations, and Problem Reports (ETD)

There are several compressed air dryers available for industrial use including, refrigerant, desiccant, and membrane. This research focuses on twin tower regenerative closed loop desiccant dryers, specifically: blower heater non-purge (BHNP) with and without cooling water pumps, Compressed-air Heater Purge (CHP), Blower Heater Purge (BHP), and Pressure Swing Heaterless (PSH). These styles of dryers are used mainly in industries that require extremely dry air such as, food manufacturing, medical air, or sensitive technology manufacturers. The research was conducted by collecting and analyzing real time current draw data on air compressors and associated dryers at eight different facilities (13 compressor systems) …

Dynamic Discrepancy Reduced Order Modeling For Fischer-Tropsch Synthesis Over Cobalt-Based Catalyst, Jose Miguel Bohorquez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Advances in carbon capture techniques and demands in alternative fuel sources have increased over the past couple of decades. The Fischer-Tropsch Synthesis (FTS) provides a viable way to produce hydrocarbons from natural gas, coal, CO₂, or biomass. However, current comprehensive models for FTS encompass large number of reacting species, readsorption and conversion of primary products, surface intermediates, and coverage-dependent reaction rates. To accurately predict the products obtained through the process a reduced order model has been developed. By reducing the number of parameters of an existing comprehensive model, uncertainty is introduced. The uncertainty can be quantified by using …

An Empirical Analysis Of An Algorithm For The Budgeted Maximum Vertex Cover Problem In Trees, Mujidat Abisola Adeyemo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Covering problems are commonly studied in fields such as mathematics, computer science, and engineering. They are also applicable in the real world, e.g., given a city, can we build base-stations such that there is network availability everywhere in the city. However, in the real world, there are usually constraints such as cost and resources. The Budgeted Maximum Vertex Cover is a generalization of covering problems. It models situations with constraints. In this thesis, we empirically analyze an algorithm for the problem of finding the Budgeted Maximum Vertex Cover in undirected trees (BMVCT). The BMVCT problem is defined as follows: Given …

Artificial Immune System For Unmanned Aerial Vehicle Abnormal Condition Detection And Identification, Ryan G. Mclaughlin

Graduate Theses, Dissertations, and Problem Reports (ETD)

A detection and identification scheme for abnormal conditions was developed for an unmanned aerial vehicle (UAV) based on the artificial immune system (AIS) paradigm. This technique involves establishing a body of data to represent normal conditions referred to as “self” and differentiating these conditions from abnormal conditions, referred to as “non-self”. Data collected from simulation of the UAV attempting to autonomously fly a pre-decided trajectory were used to develop and test a scheme that was able to detect and identify aircraft sensor and actuator faults. These faults included aerodynamic control surface locks and damages and angular rate sensor biases. The …

Recovery Of Rare Earth Elements (Rees) From Coal Mine Drainage Sludge Leachate, Panpan Ren

Graduate Theses, Dissertations, and Problem Reports (ETD)

Acid mine drainage (AMD) is the primary cause of aquatic habitat loss in the Appalachian Coal Basin and many other mining districts across the U.S. and the world. The objective of this work is to develop a cost-effective and environmentally benign process to treat and recover Rare Earth Elements (REEs) from AMD. Solvent extraction (SX) is one effective way to turn AMD into a commercially viable feedstock for rare earth production.

In this work, SX experiments were conducted on Y-Ca-Mg-Al-HDEHP-n-heptane-HNO3-H2O system to simulate AMD treatment for Yttrium recovery by changing four parameters: pH values, concentration ratio of Yttrium (Y) over …

Enabling Robust State Estimation Through Covariance Adaptation, Ryan Magnum Watson

Graduate Theses, Dissertations, and Problem Reports (ETD)

Several robust state estimation frameworks have been proposed over the previous decades. Underpinning all of these robust frameworks is one dubious assumption. Specifically, the assumption that an accurate a priori measurement uncertainty model can be provided. As systems become more autonomous, this assumption becomes less valid (i.e., as systems start operating in novel environments, there is no guarantee that the assumed a priori measurement uncertainty model characterizes the sensors current observation uncertainty).

In an attempt to relax this assumption, a novel robust state estimation framework is proposed. The proposed framework enables robust state estimation through the iterative adaptation of the …

Direct Determination Of The Dynamic Elastic Modulus And Poisson's Ratio Of Timoshenko Prisms And Rods, Guadalupe Leon

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study, the exact solution of the Timoshenko beam vibration frequency equation under free-free boundary conditions was determined with an accurate shear shape factor. The exact solution was compared with a 3-D finite element calculation using ABAQUS program, and the difference between the exact solution and the 3-D FEM was within 0.15% for both the transverse and torsional modes. Furthermore, relationships between the resonance frequencies and Poisson’s ratio were proposed that can directly determine the elastic constants, unlike the equations provided by ASTM C215. The frequency ratio between the 1^st bending mode and the 1^st torsional mode, …

Investigation Of Heat Exchanger Effectiveness Using A Surface Coating Technology, Allen Duffy

Graduate Theses, Dissertations, and Problem Reports (ETD)

Diesel engine manufacturers continue to improve engine performance through increased thermal efficiency and reduced regulated emissions. The aftercooler located between the turbocharger air outlet and intake manifold experiences a wide range of operating conditions. Improving the heat transfer characteristics in the aftercooler can lead towards improved engine performance through increased charge air density. A surface coating has been proposed to enhance the heat transfer characteristics for a marine-based application on the water - side of the heat exchanger. To evaluate the efficacy of the coating, the rate of heat transfer with and without the coating was quantified in a controlled …

Adenovirus Co-Opts Neutrophilic Inflammation In Order To Enhance Entry Into Epithelial Cells, James Matthew Readler

Browse all Theses and Dissertations

Human adenoviruses (AdV) are double-stranded DNA viruses that can cause a range of diseases. While AdV respiratory infections are often mild and self-limited, severe manifestations such as fulminant pneumonia and acute respiratory distress syndrome (ARDS) are not uncommon. In order to identify potential modalities to treat AdV infections and potentially enhance the effectiveness of AdV vector delivery, a thorough mechanistic understanding of how AdV enters host cells is needed. Previous studies have revealed polarized epithelia, one of the primary targets for AdV respiratory infections, are highly resistant to AdV entry from the apical (luminal) surface. However, upon exposure to interleukin …