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News briefs: Hollywood Reporter Honor; Studio CDM Documents Remote Initiatives; Animation Jam Goes Virtual; "Tom of Your Life" Film Release; D.E.F. Showcase 2020; Trackmania Soundtrack; Alumnus Commemorates St. Vincent de Paul; Alumni Games at PixelPop; Cybersecurity Champion

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In The Loop

Initiatives in DePaul's College of Computing and Digital Media are addressing racial inequity in health care. One initiative is looking at Black maternal health. Another is trying to build models and requirements of what should be automated to consider racial inequity first.

Welcome Message From The Tpc Chairs, Ming Yu, Lijun Jiang, Alex Man Hon Wong, Shao Yong Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Mechanical Engineering News, Georgia Southern University

Mechanical Engineering: News & Publications (2013-2023)

• Engineering Design Conference Held Virtually

Paper Recycling Fiber Recapture, Erin Riley

Honors Theses

The goal of the Yoda Chemical Company Paper Recycling Fiber Recapture project and subsequent report was to identify and recommend plant optimization opportunities associated with the potential recovery of five waste streams. Additionally, an analysis of the upgrade’s design was completed in order to determine the economic viability of fiber recapture. Beginning the analysis, the five waste streams were identified and analyzed. The waste streams include the top liner, back liner, and filler liner primary cleaner rejects on the K1 machine, the common rejects from under the K3 paper machine, and the tertiary cleaner rejects from stock preparation.

Two different …

Stem Teacher Database, Veronica Buss

Honors Theses

The College of Engineering and Applied Sciences (CEAS) Recruitment web application provides access to recruitment information for the Manager of Recruitment and Outreach and those who also use the spreadsheet file with their current data. This database is a functional database for the WMU college of engineering and applied sciences’ recruiters to organize their data on STEM teachers from the feeder high schools of WMU. The app provides an interface for its users to filter and search the data they have compiled to create recruitment mailing reports. The main purpose of this app was to facilitate the retrieval and upkeep …

Studies On Glass Fiber-Reinforced Poly(Ethylene-Grafted-Styrene)-Based Cation Exchange Membrane Composite, Di Huang, Zhichao Chen, Jiann-Yang Hwang

Michigan Tech Publications, Part 1

To improve interfacial adhesion between glass fiber (GF) and poly(ethylene-grafted-styrene)-based cation exchange membranes (CEM), GF was modified by four coupling agents: [3-(Methacryloxy)propyl] trimethoxy silane (3-MPS), 1,6-bis (trimethoxysilyl) hexane (1,6 bis), Poly(propylene-graft-maleic anhydride) (PP-g-MA) and Triethoxyvinylsilane (TES). The results indicated the addition of modified GF increased tensile strength, tensile modulus, storage modulus and interfacial adhesion of GF/CEM composite but degraded the strains. The composite with 3-MPS modified GF obtained superior mechanical properties and interfacial adhesion, whereas the modified effect of TES was inconspicuous. The addition of unmodified GF even had negative effects on GF/CEM mechanical properties. The field emission scanning electron …

Effects Of Conformal Cooling Channels On Additively Manufactured Injection Molding Tooling, Tyler Blaine Whatcott

Theses and Dissertations

This study focuses on the cycle-averaged mold temperature of additively manufactured injection molding tooling and how it is affected by conformal cooling channels. This was done by producing a benchmark mold out of Digital ABS produced by Stratasys, an acrylic based photopolymer, which was then used to produce injection molded parts until tool failure. Another, more cost-effective material, High Temp Resin produced by Formlabs, another acrylic based photopolymer, was also tested but yielded very little success. Then the mold design was altered by adding conformal cooling channels and again tested by producing injection molded parts while tracking the mold temperature. …

Applying Power Dividers To Decoupling Of Mimo Antennas With Wideband, Dual-Band Or Adjacent-Band Operations, Min Li, Lijun Jiang, Kwan Lawrence Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a novel decoupling method of applying power dividers to isolation enhancement of multiple-input multiple-output antennas with wideband, dual-band, or adjacent-band operations. The decoupling structure consists of the power dividers, transmission lines, and reactive components. Three benchmarks are used to elaborate on the design procedure and demonstrate the advantages of the proposed method. Results show that this method offers good impedance matching and high port isolation at the designated frequencies.

Vessel Trajectory Prediction Using Historical Ais Data, Jagir Laxmichand Charla

Dissertations and Theses

Maritime vessel position coordinates are important information for maritime situational planning and organization. A better estimate of future locations of the maritime vessels, from their current locations, can help maritime authorities to make planned decisions, which can be helpful to avoid traffic congestion and longer waiting times. This thesis develops a method for estimating future locations of the vessels using their current and previous locations and other data.

The motivating scenario for this work is that of determining the future locations of the vessels based on their current location and previous locations for accurate modelling of underwater acoustic noise. As …

Cnn Classification Architecture Study For Turbulent Free-Space And Attenuated Underwater Optical Oam Communications, Patrick L. Neary, Abbie T. Watnik, Kyle Peter Judd, James R. Lindle, Nicholas S. Flann

Space Dynamics Laboratory Publications

Turbulence and attenuation are signal degrading factors that can severely hinder free-space and underwater OAM optical pattern demultiplexing. A variety of state-of-the-art convolutional neural network architectures are explored to identify which, if any, provide optimal performance under these non-ideal environmental conditions. Hyperparameter searches are performed on the architectures to ensure that near-ideal settings are used for training. Architectures are compared in various scenarios and the best performing, with their settings, are provided. We show that from the current state-of-the-art architectures, DenseNet outperforms all others when memory is not a constraint. When memory footprint is a factor, ShuffleNet is shown to …

An Improved Foam Modeling Technique And Its Application To Petroleum Drilling And Production Practice, Yanfang Wang

LSU Doctoral Dissertations

Foam is one of the most common used multiphase fluid in Underbalanced Drilling (UBD) and Managed Pressure Drilling (MPD). Because of its low density, high capacity of lifting and carrying cuttings, low cost and compatibility with formations, foam has become more superior than the conventional drilling mud when depleted reservoir pressure, severe lost circulation, or unstable borehole are encountered. In general, the success of foam applications rely on the understanding of the fundamentals of foam rheology in downhole conditions.

Foam rheology has been studied for decades. Conventional foam rheological models such as Power Law, Bingham Plastic, Herschel-Bulkley to explain foam …

Housing Pre-Fabrication And Resource Optimization, Emma Dubensky

Honors Theses

Enclosure during construction is often time-consuming, expensive, and at the mercy of the weather. By introducing methods for manufacturing prefabricated enclosure components such as wall panels and roof sections, the impact of the three major variables is reduced. Designs for trusses, roof sections, wall sections, and foundations were developed and selected using civil engineering principles; and manufacturing and logistical processes were optimized using engineering and project management skill sets. These multi-disciplinary efforts were combined to create an accessible and versatile set of designs and instructions that can improve the effectiveness of both a skilled and non-skilled volunteer workforce. By creating …

Silicon Oil Drop Experiment, Jacob Lutz

Honors Theses

When designing models for quantum systems, researchers are often limited to computer models to develop a large pool of data. This has always been the case until the discovery was made that bouncing droplets of silicone oil can provide a decent representation of quantum mechanical particles. A system to model this representation was created. It is designed to run continuously for a large number of trials without the need for human interaction, as well as collect motion data from generated oil droplets. The droplet generator system is composed of a fluid reservoir, pump, piezoelectric buzzer, fluid chamber, and a nozzle …

Software Tool For Analyzing The Bending Strength Of Gear Teeth, Tayla Hall

Honors Theses

Current finite element (FE) models for gear analysis are computationally expensive. We will develop a software tool in Excel to efficiently assess the effect of different root geometries on gear tooth bending strength. The tool will assess the change in root stress as the root fillet shape is changed, using a 2-D model of a representative gear tooth using an A to B comparison. This is assumed to correlate to equivalent stress reduction in an actual gear. The tool will be validated by comparing the root stress found using the software to a FE analysis of root stress using ANSYS. …

Design Of Outdoor Residential Lighting Fixture, Jenna Vanmarter

Honors Theses

No abstract provided.

Well Oiled Machine: Classifying Machinery Performance Reductions Using Work Order Data, Jacob Brionez, Amber Burnett, Cho Kim, Scott M. Whitney, Thomas N. Anderson, Sumeet Treehan

SMU Data Science Review

Work Order (WO) data from System Applications and Products in Data Processing (SAP) software contains valuable information about what WOs intend to accomplish. Using SAP work order data, with time-series machinery sensor data combined into the same dataset, provides an opportunity to optimize prediction models to increase performance. Ideally, WO data can be utilized to help predict machinery's anticipated performance and can help prioritize a WO among others based on the anticipated machinery performance. It is possible to identify anomalies in pump sensor data using the Isolation Forest algorithm as the method for anomaly detection. The relationship between the sensor …

Search For Bottom-Type, Vectorlike Quark Pair Production In A Fully Hadronic Final State In Proton-Proton Collisions At S =13 Tev, The Cms Collaboration, A. M. Sirunyan, A. Tumasyan, W. Adam, F. Ambrogi, T. Bergauer, Julie M. Hogan, S Johnson

Physics and Engineering Faculty Publications

A search is described for the production of a pair of bottom-type vectorlike quarks (VLQs), each decaying into a b or b¯ quark and either a Higgs or a Z boson, with a mass greater than 1000 GeV. The analysis is based on data from proton-proton collisions at a 13 TeV center-of-mass energy recorded at the CERN LHC, corresponding to a total integrated luminosity of 137 fb-1. As the predominant decay modes of the Higgs and Z bosons are to a pair of quarks, the analysis focuses on final states consisting of jets resulting from the six quarks produced in …

State Of The Art In Composition, Fabrication, Characterization, And Modeling Methods Of Cement-Based Thermoelectric Materials For Low-Temperature Applications, Xiaoli Liu, Ruchita Jani, Esther Orisakwee, Conrad Johnston, Piotr Chudzinski, Ming Qu, Brian Norton, Niall Holmes Dr., Jorge Kohanoff, Lorenzo Stella, Hongxi Yin, Kazuaki Yazawa

Articles

The worldwide energy crisis and environmental deterioration are probably humanity’s greatest challenges. Thermoelectricity, which allows for the mutual conversion between thermal and electrical energy, has become a promising technology to alleviate this challenge. Increasingly more research focuses on how to fabricate and apply thermoelectric materials for harvesting energy and regulating the indoor thermal environment. However, only a few studies have focused on cementitious materials with thermoelectric potential. Thermoelectric cement is a composite material in which particular additives can enhance the thermoelectric performance of ordinary cement. By potentially replacing traditional construction materials with thermoelectric cement in building applications, electricity could be …

Optimization Of Electron Beam-Deposited Silver Nanoparticles On Zinc Oxide For Maximally Surface Enhanced Raman Spectroscopy, Andrew L. Cook, Christopher P. Haycook, Andrea K. Locke, Richard R. Mu, Todd D. Giorgio

TIGER Institute Faculty Research

Surface enhanced Raman spectroscopy enables robust, rapid analysis on highly dilute samples. To be useful, the technique needs sensing substrates that will enhance intrinsically weak Raman signals of trace analytes. In particular, three-dimensional substrates such as zinc oxide nanowires decorated with electron-beam deposited silver nanoparticles are easily fabricated and serve the dual need of structural stability and detection sensitivity. However, little has been done to optimize electron beam-deposited silver nanoparticles for maximal surface enhancement in the unique dielectric environment of the zinc oxide substrate. Herein, fabrication and anneal parameters of electron beam-deposited silver nanoparticles were examined for the purpose of …

Conditional Generative Adversarial Network Demosaicing Strategy For Division Of Focal Plane Polarimeters, Garrett Sargent, Bradley M. Ratliff, Vijayan K. Asari

Electrical and Computer Engineering Faculty Publications

Division of focal plane (DoFP), or integrated microgrid polarimeters, typically consist of a 2 × 2 mosaic of linear polarization filters overlaid upon a focal plane array sensor and obtain temporally synchronized polarized intensity measurements across a scene, similar in concept to a Bayer color filter array camera. However, the resulting estimated polarimetric images suffer a loss in resolution and can be plagued by aliasing due to the spatially-modulated microgrid measurement strategy. Demosaicing strategies have been proposed that attempt to minimize these effects, but result in some level of residual artifacts. In this work we propose a conditional generative adversarial …

Machine Learning Based Applications For Data Visualization, Modeling, Control, And Optimization For Chemical And Biological Systems, Yan Ma

LSU Doctoral Dissertations

This dissertation report covers Yan Ma’s Ph.D. research with applicational studies of machine learning in manufacturing and biological systems. The research work mainly focuses on reaction modeling, optimization, and control using a deep learning-based approaches, and the work mainly concentrates on deep reinforcement learning (DRL). Yan Ma’s research also involves with data mining with bioinformatics. Large-scale data obtained in RNA-seq is analyzed using non-linear dimensionality reduction with Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP), followed by clustering analysis using k-Means and Hierarchical Density-Based Spatial Clustering with Noise (HDBSCAN). This report focuses …

Performance Improvements For Next Generation Falling Particle Receiver Systems, Nathan R. Schroeder

Mechanical Engineering ETDs

Falling particle receiver (FPR) systems are a rapidly developing technology for concentrating solar power applications. Solid particles are used as both the heat transfer fluid and thermal energy storage media. Through the direct solar irradiation of the solid particles, flux and temperature limitations of tube-bundle receives can be overcome leading to higher operating temperatures and energy conversion efficiencies. Particle residence time, curtain opacity, and curtain stability affect the performance of FPR designs. As the particles fall through the receiver the curtain accelerates, increasing its transmissivity thus decreasing the amount of energy absorbed. Multistage release trough structures catch and release the …

Kron-Branin Model Of Braided Coaxial Cable Illuminated By Electromagnetic Wave, Ping Wu, Cui Meng, Zhifei Xu, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper develops an innovative model of shielded coaxial cable illuminated by high power electromagnetic pulse. This Kron-Branin model is a flexible and efficient way of wave-circuit hybrid calculation, which is based on Branin's transmission line (TL) model and tensorial analysis of network (TAN). The traditional equivalent circuit is transferred into a topology graph consists of basic elements like nodes, branches, meshes, and cords. Electromagnetic and circuit equations can be derived and transferred according to the graph. The graph topology and equivalent transmission line equation of illuminated shielded cable structure is presented in this paper. A good correlation between the …

Clustered Hyperspectral Target Detection, Sean Onufer Stalley

Dissertations and Theses

Aerial target detection is often used to search for relatively small things over large areas of land. Depending on the size and signature of the target, detection can be a very easy or very difficult task. By capturing images with several hundred color channels, hyperspectral sensors provide a new way of looking at this task, both literally and figuratively. Hyperspectral sensors can be used in many aerial target detection tasks such as identifying unhealthy trees in a forest, searching for minerals at a mining site, or finding the sources of chemical leaks at a factory. The high spectral resolution of …

Achieving High Reliability Organizations Using Fuzzy Cognitive Maps - The Case Of Offshore Oil And Gas, Ahmed A. Alibage

Dissertations and Theses

The safety culture of so-called high-reliability organizations (HROs) encompasses values, routines, and work processes that allow an organization to prevent mistakes and quickly bounce back if unexpected events occur. It is said to provide a model for improving organizational resilience in the offshore oil and gas industry, where small errors can grow into accidents with devastating environmental, social, and economic impacts. To date, such a transfer of successful practices is impeded by a lack of system perspective that would allow researchers and practitioners to fully understand the safety dynamics in HROs, adjust them to the unique setting of offshore oil …

A Computational Investigation Of The Interstitial Oxidation Thermodynamics Of A Mo-Nb-Ta-W High Entropy Alloy Beyond The Dilute Regime, Adib J. Samin

Faculty Publications

High entropy alloys (HEAs) are promising candidates for high-temperature structural material applications. Oxidation is a major factor that must be accounted for when designing such materials and it is thus important to study the oxidation behavior of HEAs to enable the optimum design of next generation materials. In this study, the thermodynamic behavior of interstitial oxygen in a Mo-Nb-Ta-W high entropy alloy was explored beyond the dilute limit. This was accomplished by sampling configurations of the HEA and HEA-oxygen systems from an isothermal–isobaric ensemble using a series of first-principle-based Monte Carlo simulations. It was found that the interstitial oxygen had …

Challenges And Suggestions Of Diesel Oil Cleaning System In Unmanned Surface Vessels, Liwei Zhang

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

Research On Risk Identification, Evaluation And Countermeasures Of Liquid Dangerous Cargo Ships In Yangpu Waters, Xiaofeng Han

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

The Impact Of Automation On Student's Career Decision, Muhammad Hizkil Imran, Arshveen Ramesh, T Rudran

Introduction to Research Methods RSCH 202

We study the impact of automation on employment and students’ career paths, by obtaining credible datasets from the Government of Singapore. The manufacturing and construction sectors were the most affected industries over the last 15 years. Along with the limited studies, we propose a survey to quantify and analyse students’ views on automation. The shift in employment rate in various sectors due to automation was found to be a contributing factor for students’ career decisions. Based on our findings, we observed that more students are acknowledging the impact of automation and finding the need for job securities and opportunities by …