Engineering Commons^™

Three-Dimensional Rotation Of Paramagnetic And Ferromagnetic Prolate Spheroids In Simple Shear And Uniform Magnetic Field, Christopher A. Sobecki, Yanzhi Zhang, Cheng Wang

Mathematics and Statistics Faculty Research & Creative Works

We examine a time-dependent, three-dimensional rotation of magnetic ellipsoidal particles in a two-dimensional, simple shear flow and a uniform magnetic field. We consider that the particles have paramagnetic and ferromagnetic properties, and we compare their rotational dynamics due to the strengths and directions of the applied uniform magnetic field. We determine the critical magnetic field strength that can pin the particles' rotations. Above the critical field strength, the particles' stable steady angles were determined. In a weak magnetic regime (below the critical field strength), a paramagnetic particle's polar angle will oscillate toward the magnetic field plane while its azimuthal angle …

Impact Of Titanium Dioxide Nanoparticles On Nutrient And Contaminant Reduction In Wastewater Treatment Wetlands, Madeline Hubbard

Civil and Environmental Engineering Master's Project Reports

Metallic nanoparticles are found in a variety of commercial products and industrial processes, and have become more common in the last few decades. As nanoparticles are toxic to biota and have the potential to spread other types of contamination, their increased use has become a concern. Research into the transport of nanoparticles in subsurface and surface waters shows a wide range in mobility, but that they are most likely to collect in systems with low linear velocities and high organic content. As a result, wetlands are the most vulnerable to nanoparticle contamination. Wetlands receiving and treating wastewater effluent have an …

Paints-R-Us Term Project, Tyler Campbell, Skye Gilbreth, Michael Oluwole, Elijah Raffo, Brad Unruh

Engineering and Technology Management Student Projects

This project will consider a linear product mix optimization problem for a fictional paint company, Paints-R-Us. Paints-R-Us is a wholesale paint manufacturer located in the Pacific Northwest. The Global Production Manager, Steve Brush, has been tasked with maximizing Paints-R-Us’s profit in the upcoming quarter. Steve Brush oversees the global production plan, and in collaboration with the production planners will develop a production plan which optimizes the profits that Paints-R-Us can create in the quarter accounting for the following criteria:

• Demand in the given quarter for each of the 5 paint types that Paints-R-Us produces • The warehousing storage capacity …

South Dakota State University : Research Fall 2019, South Dakota State University

State of Discovery South Dakota State University's Research Magazine

[Page] 2 Curcumin formulation on its way to health product market
[Page] 4 Flexibility key to forging research partnership with Kodo Kids
[Page] 6 Researcher examines hope among children in Flint, Michigan
[Page] 7 Plant pathologist battles stem canker
[Page] 8 Removing ‘Typhoid Marys’ restores health of Custer bighorn sheep herd
[Page] 10 Breeder, food scientist help improve quality of oats, increase local production
[Page] 13 SDSU, community leaders explore new ways to drive research, partnerships
[Page] 14 SDSU, community leaders explore new ways to drive research, partnerships
[Page] 16 Engineering builds business connections through Research Park
[Page] 17 Research …

Simulation Of The Impact Of Connected And Automated Vehicles At A Signalized Intersection, Hamad Bader Almobayedh, Deogratias Eustace, Philip Appiah-Kubi

Civil and Environmental Engineering and Engineering Mechanics Faculty Publications

Intersections are locations with higher likelihood of crash occurences and sources of traffic congestion as they act as bottlenecks compared with other parts of the roadway networks. Consequently, connected and automated vehicles (CAVs) can help to improve the efficiency of the roadways by reducing traffic congestion and traffic delays. Since CAVs are expected to take control from drivers (human control) in making many important decisions, thus they are expected to minimize driver (human) errors in driving tasks. Therefore, CAVs potential benefits of eliminating driver error include an increase in safety (crash reduction), smooth vehicle flow to reduce emissions, and reduce …

Risk Mitigation For Low Latitude Ground-Based Augmentation System (Gbas) Precision Approach Operations, Richard Walter Cole

Doctoral Dissertations and Master's Theses

The ground-based augmentation system (GBAS) is a safety-critical system consisting of the hardware and software that augments the Global Positioning System (GPS) to provide precision approach and landing capability and is one of the navigational cornerstones of the International Civil Aviation Organization's (ICAO) global transition to space-based technologies. In low latitude regions, where the space-based augmentation system (SBAS) cannot provide adequate precision approach service due to large system errors induced by ionospheric delays, GBAS is the best option to provide the primary navigation function for the modernized global air traffic system. The purpose of the study was to identify patterns …

Temporal-Spatial Analysis Of Emergency Evacuation Traffic, Lorraine Margot Acevedo Loreto

Doctoral Dissertations and Master's Theses

Mass evacuations, particularly those at a statewide level, represent the largest single-event traffic movements that exist. These complex events can last several days, cover thousands of miles of roadway, and include hundreds of thousands of people and vehicles. Often, they are also marked by enormous delay and congestion and are nearly always criticized for their inefficiency and lack of management. However, there are no standardized methods by which to systematically quantify traffic characteristics at the proper scale. This paper describes research to develop and apply an analytical method to measure and describe statewide mass-evacuations in a practical, cost-effective manner. The …

A Data Mining Methodology For Vehicle Crashworthiness Design, Xianping Du

Doctoral Dissertations and Master's Theses

This study develops a systematic design methodology based on data mining theory for decision-making in the development of crashworthy vehicles. The new data mining methodology allows the exploration of a large crash simulation dataset to discover the underlying relationships among vehicle crash responses and design variables at multiple levels and to derive design rules based on the whole-vehicle safety requirements to make decisions about component-level and subcomponent-level design. The method can resolve a major issue with existing design approaches related to vehicle crashworthiness: that is, limited abilities to explore information from large datasets, which may hamper decision-making in the design …

Assessing Impacts Of Decentralizing Airpower Command And Control, Allen Goodwin Peck

Doctoral Dissertations and Master's Theses

Centralized control is a fundamental tenet of joint airpower doctrine, yet there are operational situations in which some degree of decentralization may be appropriate. The purpose of this research was to quantitatively assess the impacts of decentralizing the command and control (C2) of airpower under varying operational conditions. The research used the experimental method to test hypotheses regarding decentralization of control. JAEX, a stochastic, attrition-based Blue-versus-Red war gaming model, generated the required data.

The mean difference between JAEX outcomes under centralized control and outcomes under decentralized control constituted the dependent variable for each experiment. The independent variables were the operational …

Synthesis Of Samarium-Based Metal Organic Compound Nanoparticles With Polychromatic-Photoluminescence For Bio-Tissue Fluorescence Imaging, Jian Xu

Faculty Publications

The development of nanomaterials with special optical window is critical for clinical applications and the optoelectronic industry. In this work, eight kinds of samarium-based metal organic compound nanoparticles (Sm-Fe, Sm-Ga, Sm-Mn, Sm-Na, Sm-Nb, Sm-W, Sm-Cu, and Sm-Al) were synthesized through a solution method. They show polychromatic-photoluminescence spectra extended from the UV to near-infrared (NIR) region when excited by 280 nm, 380 nm, 480 nm, 580 nm, and 785 nm light. They emit direct white light with respect to UV excitation. Tunable white-to-green fluorescence can be achieved by variation of excitation light around 300-400 nm. When they are excited by a …

Leveraging Geographical And Spectral Information For Efficient Cellular Systems, Matthew Tonnemacher

Electrical Engineering Theses and Dissertations

With the unprecedented increase in mobile data demand and limited usable spectrum to provide for it, a paradigm shift towards spectrum sharing is a promising solution. However, there are many challenges that limit current spectrum sharing practices. One challenge is that proper spectrum sharing requires engaging devices to have an understanding of the impact they have on the ecosystem while transmitting in terms of spacial interference footprint and the implications to devices in their interference range. Another is that operators, especially licensed ones, have strict quality of service requirements for their subscribers, discouraging them from allowing unlicensed access of their …

Process Reengineering And Optimization In Healthcare For Treating The Uninsured, Farnaz Nourbakhsh

Operations Research and Engineering Management Theses and Dissertations

Uninsured patients suffering from chronic diseases may have access to medical treatment under federal law, EMTALA, only after being evaluated as in'emergent, life-threatening condition' in the emergency room (ER). These patients seek regular treatment typically at the ER of county hospitals throughout the nation. In the case of End Stage Renal Disease (ESRD), uninsured patients needing recurring dialysis receive the treatment conditional on a screening assessment in the ER. Unfortunately, depending on the screening outcome, some of these patients may not qualify for immediate treatment, and hence, may be rejected service under the existing treatment protocol. This practice is known …

Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi

Operations Research and Engineering Management Theses and Dissertations

Talent analytics is a relatively new area of focus to researchers working in analytics and data science. Talent Analytics has the potential to help companies make many informed critical decisions around talent acquisition, promotion and retention. This work investigates data science to predict “shiny star” employees in the U.S. public sector, defined as top-notch performers over the years of a given time span. Its scope falls within talent analytics, also called people analytics, a relatively new research area.

We clean a data set made available by the U.S. Office of Personnel Management (OPM) and present two models to predict the …

Quantification Of Material Degradation For Material State Awareness Of Composite Materials., Vahid Tavaf

Theses and Dissertations

The objectives of this research are to develop a comprehensive method to quantify the material degradation of composite materials in the presence of distributed damages and predict the failure in the defected composites using the updated effective material properties. Defects can grow in composites at the macro scale caused by the microscale voids, matrix cracks, fiber breakages starting from manufacturing processes to the high and low cycle fatigue loads, high temperature, and high humidity during operation. Hence, to predict a more realistic failure model, it is necessary to consider the repercussions of degraded materials. The proposed research work is divided …

Modeling Neutron Interaction Inside A 2d Reactor Using Monte Carlo Method, A. S. M. Fakhrul Islam

Theses and Dissertations

Scientists and engineers have been working for many years to develop accurate approaches to analyzing nuclear power reactors using computer codes that closely model the behavior of neutrons in a reactor core. The Monte Carlo simulation method is capable of treating complex geometries with a high level of resolution and fidelity to model neutron interactions inside a reactor core. With the requirement of accurate modeling in reactor physics and dynamics and great innovation of computer technology, Monte Carlo method is becoming an ever more powerful tool and receiving rising attention. In this study, Monte Carlo method is used to model …

Impact Of Hurricane Harvey On The Results Of Regional Flood Frequency Analysis, Walter M. Mcdonald, Joseph Naughton

Civil and Environmental Engineering Faculty Research and Publications

Hurricane Harvey was an unprecedented event that resulted in immense damage to life and property. As a result, it is important to determine how this event, as well as past and future events like it, will impact engineering design equations that are based upon historical data, such as flood frequency analysis equations. This study seeks to contribute to this discussion by evaluating the extent to which Harvey influenced estimations of instantaneous peak discharges in rural ungauged basins in southeast Texas. Results indicate that Harvey significantly increased the computations of design floods using Log‐Pearson Type III analysis (e.g., 3–55% for 2‐year …

Electrochemical Removal Of Estrogenic Compounds From Drinking Water, Emily Maher

Dissertations (1934 -)

Estrogenic compounds in water pose a range of ecological health risks such as fish feminization and public health risks including reproductive health issues, precocious puberty, cancer, and increased rates of obesity and diabetes. Drinking water treatment systems were not designed to remove estrogenic compounds. This research evaluated the use of advanced drinking water treatment processes, specifically electrocoagulation (EC) and electrooxidation (EO), for the removal of estrogenic compounds. Bench-scale experiments revealed that, during EC, current density correlated well with an increase in estrogenic compound removal, while conductivity did not impact removal. Higher stir rates and faster polarity reversal times improved estrogenic …

Dynamic Response Modeling Of High-Speed Planing Craft With Enforced Acceleration, Gene Hou, Brain Johnson, Jonathan Degroff, Steven Trenor, Jennifer Michaeli

Mechanical & Aerospace Engineering Faculty Publications

An approach is investigated in this study for structural dynamic analysis of a high-speed planing hull, in which the pointwise acceleration data collected from sea trials are enforced as base excitation. The paper first performed the full boat analysis of an 11-meter high speed craft for a period of one wave impact selected from each of nine seakeeping runs. The sea trial acceleration data collected from 11 accelerometers placed close to the centerline and the keel are enforced as input, while those from 3 accelerometers placed around the pilot cabin are selected for validation. The substructure dynamic analysis of the …

Quantification Of Mitochondrial Membrane Potential In The Isloated Rat Lung Using R6g, Anthony Cammarata

Master's Theses (2009 -)

Mitochondrial membrane potential (Δm) plays a key role in vital mitochondrial functions, and its dissipation is a hallmark of mitochondrial dysfunction in various cell types. The objective of this study was to develop an experimental and computational approach for estimating Δm in intact rat lungs using the lipophilic fluorescent cationic dye rhodamine 6G (R6G). Rat lungs were isolated and connected to a ventilation-perfusion system. The experimental Protocol consisted of three single-pass phases: loading, wash, and uncoupling, in which the lungs were perfused with R6G-containing perfusate, fresh R6G-free perfusate, or R6G-free perfusate containing the mitochondrial uncoupler FCCP, respectively. This Protocol was …

Biomethane Production From Biodegradable Plastics, Nicholas John Norio Benn

Master's Theses (2009 -)

Organic polymer plastics are often short-lived commodities for single-use that result in landfill buildup and persistence in the environment. Plastic waste accumulation can cause ecological damage. Plastic production continues to outpace plastic waste management and perpetuates the growing epidemic of plastic pollution. More efficient handling of plastics would be beneficial. One improvement involves biodegradable plastics (i.e., bioplastics), particularly polylactic acid (PLA) and polyhydroxyalkanoates (PHA), which can alleviate environmental concerns stemming from mismanagement. Yet, there are currently no bioplastic waste management strategies scalable to handle the millions of pounds of bioplastics that enter the waste stream. Therefore, new bioplastic resource recovery …

Pathologically-Validated Tumor Prediction Maps In Mri, Alex Barrington

Master's Theses (2009 -)

Glioblastoma (GBM) is an aggressive cancer with an average 5-year survival rate of about 5%. Following treatment with surgery, radiation, and chemotherapy, diagnosing tumor recurrence requires serial magnetic resonance imaging (MRI) scans. Infiltrative tumor cells beyond gadolinium enhancement on T1-weighted MRI are difficult to detect. This study therefore aims to improve tumor detection beyond traditional tumor margins. To accomplish this, a neural network model was trained to classify tissue samples as ‘tumor’ or ‘not tumor’. This model was then used to classify thousands of tiles from histology samples acquired at autopsy with known MRI locations on the patient’s final clinical …

Registration Of Total Hip Replacement Implants From Subjects Imaged With 1.5 And 3 Tesla Mri Scanners Using Mavric, Theodore Lawrence Degroot

Master's Theses (2009 -)

Introduction: Total hip arthroplasty (THA) is a common treatment to correct arthritis and necrosis ailing the hip joint. An array of diseases can occur in response to the presence and wear of the implant. MRI is an imaging modality that can assess and diagnosis the diseases ailing the periprosthetic tissues, however images of a metal implants are susceptible to artifacts. Aim 1 of this study was to register the THAs imaged at 3T to 1.5T images; Aim 2 was to validate that metal susceptibility artifacts increase with field strength.Methods: 21 subjects with a total of 29 hip prosthetics that …

Chemical Pretreatment And Dewaterability Of Aanaerobically Digested Bio-P Biosolids, Eileen Margaret Kennedy

Master's Theses (2009 -)

Phosphorous (P) effluent regulations from water resource recovery facilities (WRRFs) have become more stringent to reduce the damage of eutrophication caused by excess amounts of P. Enhanced biological phosphorus removal (EBPR) is a popular method to help comply with these regulations combined with other practices such as filtration. However, the sludges from facilities that employ EBPR (bio-P sludges) are difficult to dewater and require more polymer than conventional sludge, thereby increasing the cost of solids handling at these facilities. The monovalent to divalent (M/D) cation ratio, which is important in dewatering, is reportedly altered during the EBPR process. P speciation …

A Comparison Of Model Reduction Techniques For Multi-Zone Building Thermal Models, John Burroughs

Master's Theses (2009 -)

In this thesis model order reduction techniques are applied to a set of systems representing the thermodynamics of a multi-zone building. The models are intended to be used in a model predictive control (MPC) application, with the individual zones defined using a simplified two temperature model. There has been an increased interest in model identification and reduction for MPC applications of building models that include multi-zone and non-linear models, but the most of this work has focused on models where individual zones are represented with a higher order model. Manual pole/zero removal, dominant eigenvalue, and balanced model reduction methods are …

Magnetic Gears And Magnetically Geared Electrical Machines With Reduced Rare-Earth Materials, Ali Hussain Al-Qarni

Master's Theses (2009 -)

This thesis covers a new emerging class of electrical machines, namely, Magnetic Gears (MGs) and Magnetically Geared Machines (MGMs). This particular kind of gears/machines are able of either scaling up or down the revolution-per-minute to meet various load profiles as in the case of mechanical gearboxes. Mechanical gearboxes have historically dominated various applications due to their relatively high torque density. However, mechanical gearboxes require physical contact between the rotational components, whereas MGs and MGMs accomplish fundamentally the same function via a contactless mechanism. This physical isolation between the rotational components lead to several advantages in a favor of MGs and …

Developing Origami-Based Approaches To Realize Novel Architectures And Behaviors For Deployable Space Arrays, Nathan Alan Pehrson

Theses and Dissertations

Origami-based approaches for the folding of thick materials for specific application to large deployable space arrays is explored in this work. The folding approaches presented utilize strain energy, spatial kinematics, membranes, compliant mechanisms, and or in combination together to fold finite-thickness materials viewed through the lens of origami-based engineering. Novel architectures and behaviors of mechanisms are developed to achieve packaging efficiency, deployment, and self-stiffening. A method for the folding of monolithic thick-sheet materials is developed by incorporating compliant mechanisms into the material itself to strategically add degrees of freedom. The design and characterization of the compliant mechanisms with consideration to …

Differential Cortical Activation During The Perception Of Moving Objects Along Different Trajectories, Finnegan J. Calabro, Scott A. Beardsley, Lucia M. Vaina

Biomedical Engineering Faculty Research and Publications

Detection of 3D object-motion trajectories depends on the integration of two distinct visual cues: translational displacement and looming. Electrophysiological studies have identified distinct neuronal populations, whose activity depends on the precise motion cues present in the stimulus. This distinction, however, has been less clear in humans, and it is confounded by differences in the behavioral task being performed. We analyzed whole-brain fMRI, while subjects performed a common time-to-arrival task for objects moving along three trajectories: moving directly towards the observer (collision course), with trajectories parallel to the line of sight (passage course), and with trajectories perpendicular to the line of …

Machine Learning Methods Of Material Decomposition In Special Computed Tomography Using Photon Counting Detectors, Kevin Zimmerman

Dissertations (1934 -)

Energy-resolved photon counting detectors have potential improvements over conventional scintillating x-ray detectors and can be used for spectral computed tomography (CT) applications such as material decomposition. However, photon counting detector are difficult to model because they have many non-ideal physical phenomena. We developed machine learning algorithms to model the spectral measurements of energy-resolved photon counting detectors for the purposes of material decomposition and image reconstruction. A feed-forward neural network was used to estimate path lengths of different materials that the x-ray path traversed from spectral measurements of a photon counting detector using calibration measurements on an experimental bench-top CT system. …

Stochastic Partial Inductance For The Power Integrity Analysis By Polynomial Chaos Expansion, Haimi Qiu, Lijun Jiang, Albert Ruehli

Electrical and Computer Engineering Faculty Research & Creative Works

Partial element equivalent circuit (PEEC) model has attracted great interests to overcome challenges in the power integrity analysis. However, the increasing miniaturization in electronics makes the uncertainty effect an ever more central issue to accurately estimate the inductance in the power distribution networks (PDNs) of high-speed PCBs. In this paper, we propose a stochastic partial inductance modeling approach to quantify the stochastic inductance. Specifically, the deterministic partial inductance is re-formulated using the polynomial chaos expansion. Following the Galerkin projection and polynomial orthogonality, stochastic partial inductance is represented by polynomial bases, which significantly reduces the complexity of the system and leads …

Impulse Response For Full Wave Peec Models Avoiding Late Time Instability, Albert E. Ruehli, Luigi Lombardi, Giulio Antonini, Ye Tao, Michel S. Nakhla, Francesco Ferranti

Electrical and Computer Engineering Faculty Research & Creative Works

Late time instability is a key issue for obtaining time domain solutions using Computational Electromagnetic (CEM) full-wave techniques. However, impulse inputs lead to a convenient way to cascade time domain solutions for many problems. In this paper we show that stable impulse response solutions can be obtained for full-wave PEEC (Partial Element Equivalent Circuit) models which include retarded partial elements. The conventional time stepping technique is replaced by using the so called NILT (Numerical Inverse Laplace Transform) technique. We show that the late time unstable poles in the EM formulation are not excited by the NILT based solution.