Engineering Commons^™

A Simulation Model To Determine The Supply Chain Optimum Order Quality, Ahmed Mohamed Saleh

Archived Theses and Dissertations

No abstract provided.

Environmental Aspects Of Small Scale Aluminum Recycling In Egypt, Karim Salah Raslan

Archived Theses and Dissertations

No abstract provided.

Instructional Design Framework For Construction Materials Training, Hazem Jadallah, Carol J. Friedland, Isabelina Nahmens, Charles Pecquet, Charles Berryman, Yimin Zhu

Faculty Publications

The construction industry is suffering, in part, from a lack of training programs offered to the construction workforce. Unfortunately, most construction training and education research focuses on university student education. Integrating education science theory into construction workforce training has the potential to improve industry training but there is a dearth of studies that present details of this integration process. To address this gap, a training framework was developed to educate material stakeholders on material properties, selection, and installation. This framework is based on andragogical and Universal Design for Learning (UDL) principles. An assessment method evaluates training agendas to improve upon …

Transcranial Direct Current Stimulation On Parkinson’S Disease: Systematic Review And Meta-Analysis, Paloma Cristina Alves De Oliveira, Thiago Anderson Brito De Araújo, Daniel Gomes Da Silva Machado, Abner Cardoso Rodrigues, Marom Bikson, Suellen Marinho Andrade, Alexandre Hideki Okano, Hougelle Simplicio, Rodrigo Pegado, Edgard Morya

Publications and Research

Background: Clinical impact of transcranial direct current stimulation (tDCS) alone for Parkinson’s disease (PD) is still a challenge. Thus, there is a need to synthesize available results, analyze methodologically and statistically, and provide evidence to guide tDCS in PD.

Objective: Investigate isolated tDCS effect in different brain areas and number of stimulated targets on PD motor symptoms.

Methods: A systematic review was carried out up to February 2021, in databases: Cochrane Library, EMBASE, PubMed/MEDLINE, Scopus, and Web of science. Full text articles evaluating effect of active tDCS (anodic or cathodic) vs. sham or control on motor symptoms of PD were …

The Product Test Scheduling Problem, Megan Wydick Martin, Cliff Ragsdale, John Fico, Carlos G. Cajica-Sierra, Richard M. Fetcenko

International Journal of Applied Management and Technology

This research focused on product test scheduling in the presence of in-process and at-completion inspection constraints. Such testing arises in the context of the manufacture of products that must perform reliably in extreme environmental conditions. Often, these products must receive a certification from prescribed regulatory agencies at the successful completion of a predetermined series of tests. Operational efficiency is enhanced by determining the optimal order and start times of tests so as to minimize the makespan while ensuring that technicians are available when needed to complete in-process and at-completion inspections. We refer to this as the product test scheduling problem. …

Multi-Objective Optimization On Dimensional Accuracy, Edge And Surface Quality Of 3d-Printed Parts By Fused Deposition Modelling, Islam Hamdy Salem

Theses and Dissertations

Fused Deposition Modelling (FDM) is one of most common additive manufacturing (AM) techniques used in manufacturing field. It has been increasingly used because of its low cost and simplicity. Although FDM can save time through eliminating pre-processing tooling-up to produce the end-user product, still a better final product quality, like mechanical properties, dimensional accuracy and surface finish, is needed. This thesis addresses the maximization of involved printing parameters in one reliable model. Hence, a wider investigation is conducted in this research via experimental work in order to obtain a comprehensive model that involves and relates more parameters in a single …

Towards A New Curvature Produced By The Tangent Of A Circle Andan Ellipse: The Nada’S Curve, Laith H. M. Al-Ossmi

Iraqi Journal for Computer Science and Mathematics

A new curve is produced and graphically studied. The name of my daughter, Nada, has been givento this curve; in other words, Nada is used to describe this curve whenever it is used in this paper. “Nada’s curve”is a form of closed curve that is constructed when the circle’s diameter and the ellipse’s minor axis share the samelength, and they are tangent by a point from a drawn line passing through the circumstances of the circle and ellipse.Then, from these two intersection points, the point of intersection of the vertical and horizontal lines is selectedto determine a point of Nada’s …

On The Involutive Matrices Of The Kth Degree, Hasan Kele ̧S

Iraqi Journal for Computer Science and Mathematics

In this study, the gradation of involutive matrices, whose definitions were given before, is conducted.The solutions of the equationx2=1 in real numbers are1. Meanwhile, in the solution of the equationxk=1in real numbers, there is always the number1 that is independent of the power ofk2Z+. This feature, which isrevealed by this equation in real numbers, is the subject of the research. In particular, the kind of situation in whichthe equation would display in the matrices is determined. Initially, the second-order square matrices are studied byobtaining some of their properties. Then, new cases arising from the known addition, subtraction, multiplication,scalar multiplication, and …

Magnetic Nanoparticles Enhanced Surface Plasmon Resonance Biosensor For Rapid Detection Of Salmonella Typhimurium In Romaine Lettuce, Devendra Bhandari, Fur-Chi Chen, Roger C. Bridgman

Human Sciences Faculty Research

Salmonella is one of the major foodborne pathogens responsible for many cases of illnesses, hospitalizations and deaths worldwide. Although different methods are available to timely detect Salmonella in foods, surface plasmon resonance (SPR) has the benefit of real-time detection with a high sensitivity and specificity. The purpose of this study was to develop an SPR method in conjunction with magnetic nanoparticles (MNPs) for the rapid detection of Salmonella Typhimurium. The assay utilizes a pair of well-characterized, flagellin-specific monoclonal antibodies; one is immobilized on the sensor surface and the other is coupled to the MNPs. Samples of romaine lettuce contaminated with …

A Comparison Of National Water Model Retrospective Analysis Snow Outputs At Snow Telemetry Sites Across The Western United States, Irene Garousi-Nejad, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

This study compares the US National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at snow telemetry (SNOTEL) sites across the Western United States. SWE was obtained from SNOTEL sites, while SCAF was obtained from moderate resolution imaging spectroradiometer (MODIS) observations at a nominal 500 m grid scale. Retrospective NWM results were at a 1000 m grid scale. We compared results for SNOTEL sites to gridded NWM and MODIS outputs for the grid cells encompassing each SNOTEL site. Differences between modelled and observed SWE were attributed to both model errors, as …

The Use Of Microalgal Sourced Biodiesel To Help Underground Mines Transition To Battery Electric Vehicles, Corey A. Laamanen, Kyle Moreau, Sabrina M. Desjardins, Shannon H. Mclean, John A. Scott

Journal of Sustainable Mining

The use of fossil fuel sourced diesel underground has various associated health and environmental hazards, and additional energy demand and costs associated with necessary ventilation. One way to reduce these impacts is by utilizing a biodieselblend, which generates lower levels of harmful emissions from underground equipment and can be produced regionally, reducing the impact of transportation. Furthermore, this would help allow use of existing machinery during transition towards more widespread electrification underground. Therefore, the concept of an integrated supply and use chain within the mining industry is examined based on biodiesel from acidophilic photosynthetic microalgae cultivated using CO 2 in …

Investigating The Effectiveness Of A Ground Support System Implemented On Block A: A Case Study Of Southern Africa Metalliferous Mine, Kamogelo Manyelo, Peter Kolapo

Journal of Sustainable Mining

This study aims to investigate the effectiveness of the ground support systems that are planned to be implemented on Block A, which will be excavated through the Marikana fault zone. The block of ground being prepared for mining has been physically affected by the presence of the Marikana fault and is therefore geomechanically and geotechnically weaker than the normal stoping conditions on the rest of the shaft. Joint mapping conducted in Block A raiselines indicated that there is a high concentration of shallow dipping joints which are dipping in opposite directions. Such conditions present special challenges in the planned excavations …

Application Of Entropy Method For Estimating Factor Weights In Mining-Method Selection For Development Of Novel Mining-Method Selection System, Elsa Pansilvania Andre Manjate, Mahdi Saadat, Hisatoshi Toriya, Fumiaki Inagaki, Youhei Kawamura

Journal of Sustainable Mining

Mining-method selection (MMS) is one of the most critical and complex decisionmaking processes in mine planning. Therefore, it has been a subject of several studies for many years culminating with the development of different systems. However, there is still more to be done to improve and/or create more efficient systems and deal with the complexity caused by many influencing factors. This study introduces the application of the entropy method for feature selection, i.e., select the most critical factors in MMS. The entropy method is applied to assess the relative importance of the factors influencing MMS by estimating their objective weights …

Role Of Inflammatory Niche And Adult Cardiomyocyte Coculture On Differentiation, Matrix Synthesis, And Secretome Release By Human Bone Marrow Mesenchymal Stem Cells, Jyotsna Joshi, Chandrasekhar R. Kothapalli

Chemical & Biomedical Engineering Faculty Publications

Myocardial infarction (MI) causes cardiomyocyte death, provokes innate immune response, and initiates tissue remodeling. The intrinsic healing process is insufficient to replace the lost cells, or regenerate and restore the functional features of the native myocardium. Autologous bone marrow-derived mesenchymal stem cell (BM-MSC) transplantation is being explored to offer therapeutic potential after MI. Here, we cultured human BM-MSC spheroids in three-dimensional collagenous gels for 28 days under exposure to tumor necrosis factor-alpha (+ TNFα), and coculture with adult human cardiomyocytes, or with conditioned media (CM) pooled from TNFα-stimulated adult cardiomyocytes. MSC differentiation marker (CD90, GATA4, cTnI, cTnT, Cx43, MHC, α-actin) …

Rapid Response: Cat-Scan Machine And 3d Printers Vital In Covid-19, Laura Meader

Colby Magazine

Colby’s Assistant Professor of Biology Josh Martin is using his expertise and sophisticated scientific equipment to create face shields, respirator masks, and air filter cartridges for local first responders and hospitals in need of equipment that is crucial to treating patients with COVID-19.

Principal Schema Of Optoelectronic Device For Monitoring The Concentration Hydrocarbons In Air With Exponential Scan, Yu Mamasadikov

Scientific-technical journal

The article deals with the actual problem of controlling the concentration of hydrocarbons in the air. A schematic diagram of an optoelectronic device for monitoring the concentration of hydrocarbons in air on semiconductor emitting diodes is presented. The principle of operation of the principle diagram of an optoelectronic device for monitoring the concentration of hydrocarbons in air with an exponential sweep is stated.

Solar Air Heater With Breathable Matrix Absorber Made Of Metal Wire Tangle, Yu. K. Rashidov, J. T. Orzimatov

Scientific-technical journal

In the article, a physical and mathematical thermal model of the operation of a solar air-heating collector with an air-permeable matrix absorber made of a metal wire tangle is developed, and analytical solutions of the model for boundary conditions of the first and second kind are obtained.

Application Of Deep Neural Networks To Distribution System State Estimation And Forecasting, James P. Carmichael, Yuan Liao

Electrical and Computer Engineering Faculty Publications

Classical neural networks such as feedforward multi-layer perceptron models (MLPs) are well established as universal approximators and as such, show promise in applications such as static state estimation in power transmission systems. The dynamic nature of distributed generation (i.e. solar and wind), vehicle to grid technology (V2G) and false data injection attacks (FDIAs), may pose significant challenges to the application of classical MLPs to state estimation (SE) and state forecasting (SF) in power distribution systems. This paper investigates the application of conventional neural networks (MLPs) and deep learning based models such as convolutional neural networks (CNNs) and long-short term networks …

Application Of Deep Neural Networks To Distribution System State Estimation And Forecasting, James P. Carmichael, Yuan Liao

Electrical and Computer Engineering Faculty Publications

Classical neural networks such as feedforward multi-layer perceptron models (MLPs) are well established as universal approximators and as such, show promise in applications such as static state estimation in power transmission systems. The dynamic nature of distributed generation (i.e. solar and wind), vehicle to grid technology (V2G) and false data injection attacks (FDIAs), may pose significant challenges to the application of classical MLPs to state estimation (SE) and state forecasting (SF) in power distribution systems. This paper investigates the application of conventional neural networks (MLPs) and deep learning based models such as convolutional neural networks (CNNs) and long-short term networks …

Secondary Science Teachers’ Curricular Use Of Ngss Engineering Practices, Elizabeth Hasseler, Amy Tankersley, Ana M. Rivero, Lyrica L. Lucas, Elizabeth B. Lewis

Department of Teaching, Learning, and Teacher Education: Faculty Publications

We investigated how often teachers integrated engineering into science lessons to address Next Generation Science Standards (NGSS) performance expectations using data from a multi-year study of secondary science teachers. Only 7.14% of middle school (MS) lessons contained engineering practices. Engineering was included in lessons for students to apply or support the learning of scientific content.

Presider: Amy Tankersley

Mechanical Properties Of Concrete With 100 Percent Coarse Recycled Concrete Aggregate (Rca), Mohsen H. Motlagh

Theses and Dissertations

Recycled concrete aggregate (RCA) is a crushed concrete with the original aggregates' features and old mortar adhered to the original aggregate which makes it necessary to know the mechanical properties of the RCA. The objectives of this thesis are (a) to characterize RCA from different sources and of different proportions, (b) to measure the mechanical properties of concrete made with 100% RCA as coarse aggregates, and (c) to evaluate how the RCA properties affect the properties of new concrete. The study uses RCA with three types of original aggregates (limestone, dolomite, and granite) in two water-to-cement ratios 0.48 and 0.38 …

Entrainment, Diffusion And Effective Compressibility In A Self-Similar Turbulent Jet, Thomas Basset, Bianca Viggiano, Thomas Barois, Mathieu Gibert, Nicolas Mordant, Raúl Bayoán Cal, Romain Volk, Mickael Bourgoin

Mechanical and Materials Engineering Faculty Publications and Presentations

An experimental Lagrangian study based on particle tracking velocimetry has been completed in an incompressible turbulent round water jet freely spreading into water. The jet is seeded with tracers only through the nozzle: inhomogeneous seeding called nozzle seeding. The Lagrangian flow tagged by these tracers therefore does not contain any contribution from particles entrained into the jet from the quiescent surrounding fluid. The mean velocity field of the nozzle seeded flow, ⟨Uφ⟩, is found to be essentially indistinguishable from the global mean velocity field of the jet, ⟨U⟩, for the axial velocity while significant deviations are found for the radial …

The Chime Fast Radio Burst Population Does Not Track The Star Formation History Of The Universe, Rachel C. Zhang, Bing Zhang

Physics & Astronomy Faculty Research

The redshift distribution of fast radio bursts (FRBs) is not well constrained. The association of the Galactic FRB 200428 with the young magnetar SGR 1935+2154 raises the working hypothesis that FRB sources track the star formation history of the universe. The discovery of FRB 20200120E in association with a globular cluster in the nearby galaxy M81, however, casts doubts on such an assumption. We apply the Monte Carlo method developed in a previous work to test different FRB redshift distribution models against the recently released first CHIME FRB catalog in terms of their distributions in specific fluence, external dispersion measure …

Glycocalyx Mechanotransduction Mechanisms Are Involved In Renal Cancer Metastasis, Heriberto Moran, Limary M. Cancel, Peigen Huang, Sylvie Roberge, Tuoye Xu, John M. Tarbell, Lance L. Munn

Publications and Research

Mammalian cells, including cancer cells, are covered by a surface layer containing cell bound proteoglycans, glycoproteins, associated glycosaminoglycans and bound proteins that is commonly referred to as the glycocalyx. Solid tumors also have a dynamic fluid microenvironment with elevated interstitial flow. In the present work we further investigate the hypothesis that interstitial flow is sensed by the tumor glycocalyx leading to activation of cell motility and metastasis. Using a highly metastatic renal carcinoma cell line (SN12L1) and its low metastatic counterpart (SN12C) we demonstrate in vitro that the small molecule Suberoylanilide Hydroxamic Acid (SAHA) inhibits the heparan sulfate synthesis enzyme …

Applications Of Nano-Zeolite In Wastewater Treatment: An Overview, Rehab O, Abdel Rahman, Ahmed M. El-Kamash, Yung-Tse Hung

Civil and Environmental Engineering Faculty Publications

Nano-zeolite is an innovative class of materials that received recognition for its potential use in water and tertiary wastewater treatment. These applications include ion-exchange/sorption, photo-degradation, and membrane separation. The aim of this work is to summarize and analyze the current knowledge about the utilization of nano-zeolite in these applications, identify the gaps in this field, and highlight the challenges that face the wide scale applications of these materials. Within this context, an introduction to water quality, water and wastewater treatment, utilization of zeolite in contaminant removal from water was addressed and linked to its structure and the advances in zeolite …

Fundamentally Based Investigation And Mathematical Modeling Of The Delay Observed In The Early Stages Of E-Coat Deposition, Fardin Padash

Theses and Dissertations

The objective of this work is to enhance the understanding of the delay observed in the early stages of E-coat deposition. E-coat deposition has been widely used by industries such as the automotive industry to form the primary protective coating against corrosion. Currently, models that are used to find the best conditions under which the desired coating coverage for the entire auto body can be achieved do not accurately predict the coating coverage in recessed areas. The accuracy of large-scale models can be improved by enhancing our understanding of the mechanisms responsible for the observed delay. To accomplish this, experiments …

In Vitro Mitral Valve Model With Unrestricted Ventricular Access: Using Vacuum To Close The Valve And Enable Static Trans-Mitral Pressure, Sam E. Stephens, Alexander J. Kammien, Jacob C. Paris, Alexis P. Applequist, Neil B. Ingels, Hanna K. Jensen, Drew E. Rodgers, Charles R. Cole, Jonathan F. Wenk, Morten O. Jensen

Biomedical Engineering Faculty Publications and Presentations

Current in vitro models of the left heart establish the pressure difference required to close the mitral valve by sealing and pressurizing the ventricular side of the valve, limiting important access to the subvalvular apparatus. This paper describes and evaluates a system that establishes physiological pressure differences across the valve using vacuum on the atrial side. The subvalvular apparatus is open to atmospheric pressure and accessible by tools and sensors, establishing a novel technique for experimentation on atrioventricular valves. Porcine mitral valves were excised and closed by vacuum within the atrial chamber. Images were used to document and analyze closure …

Pro Tips For Cfis: The Secret Life Of Stalls, Nihad E. Daidzic

Aviation Department Publications

FAA Safety webinar (GL1590721) held online at 7:00 CST on Wednesday, January 5, 2022.

Characteristic Mode Analysis Prediction And Guidance Of Electromagnetic Coupling Measurements To A Uav Model, Mohamed Z. M. Hamdalla, Benjamin Bissen, James D. Hunter, Yuanzhuo Liu, Victor Khilkevich, Daryl G. Beetner, Anthony N. Caruso, Ahmed M. Hassan

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, we study the current coupled to a simplified Unmanned Aerial Vehicle (UAV) model using a dual computational and experimental approach. The simplified surrogate structure reduced the computational burden and facilitated the experimental measurement of the coupled currents. For a practical system, a wide range of simulations and measurements must be performed to analyze the induced current variations with respect to properties of the incident excitation waveform, such as the frequency, angle of incidence, and polarization. To simplify this analysis, Characteristic Mode Analysis (CMA) was used to compute the eigen-currents of the UAV model and predict where and …

A Deep Neural Network For Early Detection And Prediction Of Chronic Kidney Disease, Vijendra Singh, Vijayan K. Asari, Rajkumar Rajasekaran

Electrical and Computer Engineering Faculty Publications

Diabetes and high blood pressure are the primary causes of Chronic Kidney Disease (CKD). Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers around the world to identify CKD as a condition that leads to reduced renal function over time. A person with CKD has a higher chance of dying young. Doctors face a difficult task in diagnosing the different diseases linked to CKD at an early stage in order to prevent the disease. This research presents a novel deep learning model for the early detection and prediction of CKD. This research objectives to create a deep …