Engineering Commons^™

Understanding Collective Performance: Human Factors And Team Science, Joseph Keebler

Math Department Colloquium Series

This talk will focus on modern issues with team science. Joe will discuss a variety of projects he's been involved with aimed at improving teamwork in complex sociotechnical systems including military, aviation, and healthcare. He will discuss major theoretical facets of teamwork and provide evidence-based best practices that were utilized to improve teams in applied settings.

Thermo-Kinetic Parameters Governing Decomposition Of Amino Acids: A Computational Study, Mubarak Taleb Alkwradi

Thesis/ Dissertation Defenses

Amino acid model compounds are important nitrogenated species that in various categories of biomass. These compounds exhibit unique fragmentation pathways because of their adjacent amino and hydroxyl groups. Comprehending the decomposition chemistry of amino acids is essential to reduce harmful nitrogen emissions during biomass thermal treatment. This research reports the kinetic and thermodynamic properties of amino acids, and sulfur-containing amino acid, based on accurate density functional theory calculations coupled with kinetic modelling. The first part of the thesis provides comprehensive thermochemical parameters for the complete set of amino acids in the gas phase. The optimized geometries of amino acid compounds …

Heat Transfer Performance Of Single-Phase Circular Heat Sink With Micro Pin-Fin Structures, Mouza Abdulla Al Shamsi

Thesis/ Dissertation Defenses

This thesis presents a numerical study of laminar forced convection in a novel design of a microscale single phase water cooed circular heat sink with pin fins developed and analyzed to serve as a miniaturized cooling system. The developed heat sink in this study aims to achieve efficient heat dissipation from high electronics integration that generates high heat flux and non-uniform temperature distribution, which leads to the reduction of life and reliability of electronic devices. Numerical analysis of ten different configurations of the circular heat sink has been carried out for the heat flux of 1000 kW/m2 at range of …

Interaction In Games: Custom Driving Controller, Christian Crank

Symposium of Student Scholars

The problem I am trying to solve pertains to the high entry costs and the requirements to fully enjoy driving games. Driving games always sound like a fun experience, but without the right controller the game feels lackluster, uncomfortable, and not quite immersive. The problem is, if someone wants a gaming experience that makes the game feel natural and sensory, they may need to drop hundreds to thousands of dollars. Furthermore, they don’t even know if the expensive equipment will provide them with the experience they want. These expensive controllers are set up in a way to be universal and …

Interaction In Games: Digital Board Game Hybrid, Ryan Whisenhunt, Logan Haines

Symposium of Student Scholars

The realm of digital board game hybrids is a relatively new field, and a majority of games currently use computerization for casual board games or accentuating flavor. There is still plenty of room to use these ideas for more complex board games and means. In this study, we explore the avenues in which digital implementation of physical games can provide a streamlined and accessible gameplay experience. Participants in the study will be given a chance to play a short version of the game. A retrospective will be conducted after, where respondents are interviewed on how well the computer supported the …

Comparison Of Different Weighting Scales When Measuring Mental Workload, Isabella Duque

Symposium of Student Scholars

Mental workload, a concept within the field of human factors and ergonomics, refers to the cognitive and perceptual demands that individuals experience while performing various tasks in the workplace. Assessing mental workload holds a significant role in designing occupational tasks, as inappropriate levels can impact job performance, employee well-being, and even workplace safety. By assessing and optimizing mental workload, organizations can enhance productivity, reduce errors, and foster a healthier work environment. The NASA Task Load Index (NASA-TLX) and the Surgery Task Load Index (SURG-TLX) are two tools used to subjectively assess mental workload. Both tools offer unweighted and weighted mental …

Controlled Radiation Capsule For Precision And Rapid Cancer Treatment, Hoseon Lee, Zsolt Kollar, Bailey R. White, Junia Nguyen, David Roque, Sowjanya Palagani

Symposium of Student Scholars

This research aims to transform cancer treatment through the optimization of brachytherapy, with a focus on reducing treatment duration, setup complexities, and financial burdens, all while emphasizing patient safety. Patients living at a distance from radiation clinics, particularly those undergoing extended Low Dose Radiation brachytherapy, often struggle with the formidable financial challenges associated with securing nearby accommodations. In response to these issues, the research introduces a radiation capsule designed to condense the conventional six-month treatment period to approximately just one week, thereby significantly reducing the duration of required accommodations. This capsule is especially relevant considering the construction cost of $40 …

Blockchain And Ethereum Vulnerabilities, Daniel Chen

Symposium of Student Scholars

Blockchain and Ethereum (ETH) technology stands poised to revolutionize the digital world, offering unprecedented decentralization, transparency, and immutability of data across various industries; however, new technologies raise new security concerns. By overcoming key vulnerabilities in ETH, it allows a multitude of groundbreaking technologies such as Web3, Decentralized Finance (DeFi), Decentralized Apps (dApps), Non-Fungible Tokens (NFTs), and cryptocurrency wallets to become commonplace. This revolutionary crypto-dependent future of the internet relies on finding solutions to security vulnerabilities. We aim to pinpoint key security flaws and develop robust smart contract solutions within the Ethereum blockchain to enable the widespread adoption of Blockchain technology.

Kwad - Ksu All Weather Autonomous Drone, Nick Farinacci, Sebastian Gomez, Stewart Baker, Ed Sheridan

Symposium of Student Scholars

"KWAD" or "KSU all-Weather Autonomous Drone" project was sponsored by Ultool, LLC to the KSU Research and Service Foundation to create a lightweight drone capable of capturing HD video during all-weather operations. The conditions of all-weather operation include rainfall of one inch per hour and wind speeds of up to twenty miles per hour. In addition, a global minimum structural safety factor of two is required to ensure the system's integrity in extreme weather conditions. Potential mission profiles include autonomous aerial delivery, topological mapping in high moisture areas, security surveillance, search and rescue operations, emergency transportation of medical supplies, and …

The Roadmap To An Improved Braille Display Design, Emma Garofalo, Trey Alexander, Luke Shankland, Michael Smith, Michael Cheng, Michael Bishai, Lauren Sun

Student Scholar Symposium Abstracts and Posters

Our innovative braille display, focused on affordability and education, fills a notable void in the market of refreshable braille displays, which are typically costly and not designed primarily for educational use. This product stands out as an economical educational aid for people with visual impairments. It features a system where pressing a keyboard alphabet key corresponds to specific braille pins, allowing for the display of letters or characters. Additionally, our design can represent simple geometric shapes, like circles or squares, using the braille pins. When these pins are raised, the user can feel the braille representation of the character or …

An In-Depth Analysis Of Domain Adaptation In Computer And Robotic Vision, Muhammad Hassan Tanveer, Zainab Fatima, Shehnila Zardari, David A. Guerra-Zubiaga

Faculty Articles

This review article comprehensively delves into the rapidly evolving field of domain adaptation in computer and robotic vision. It offers a detailed technical analysis of the opportunities and challenges associated with this topic. Domain adaptation methods play a pivotal role in facilitating seamless knowledge transfer and enhancing the generalization capabilities of computer and robotic vision systems. Our methodology involves systematic data collection and preparation, followed by the application of diverse assessment metrics to evaluate the efficacy of domain adaptation strategies. This study assesses the effectiveness and versatility of conventional, deep learning-based, and hybrid domain adaptation techniques within the domains of …

Validation Of Machine Vision And Action Sport Cameras For 3d Motion Analysis Model Reconstruction, John David Johnson, Michael Hales, Randy Emert

Faculty Articles

The study investigated the feasibility of using action sport cameras for motion analysis research. Data acquired from two different marker-based motion capture systems and six different camera combinations were analyzed for motion reconstruction accuracy. Two different calibration procedures were used to determine the influence on marker position reconstruction. Static and dynamic calibration mean merit score differences between the reference and experimental camera systems were 0.4 mm and 1.3 mm, respectively. Angular displacement difference between the reference and experimental camera systems range between 0.1 and 2.0 degrees. A systematic bias (− 0.54 to 0.19 degrees) was determined between the reference and …

Strategies For Optimizing Plasmonic Grating Couplers With A Topology-Based Inverse Design, Michael Efseaff, Mark C. Harrison

Engineering Faculty Articles and Research

Numerical simulations have become a cornerstone technology in the development of nanophotonic devices. Specifically, 3D finite-difference time domain (FDTD) simulations are widely used due to their flexibility and powerful design capabilities. More recently, FDTD simulations in conjunction with a design methodology called inverse design has become a popular way to optimize device topology, reducing a device’s footprint and increasing performance. We implement a commercial inverse design tool to generate complex grating couplers and explore a variety of grating coupler design methodologies. We compare the conventionally designed grating couplers to those generated by the inverse design tool. Finally, we discuss the …

Analysis And Requirement Generation For Defense Intelligence Search: Addressing Data Overload Through Human–Ai Agent System Design For Ambient Awareness, Mark C. Duncan, Michael E. Miller, Brett J. Borghetti

Faculty Publications

This research addresses the data overload faced by intelligence searchers in government and defense agencies. The study leverages methods from the Cognitive Systems Engineering (CSE) literature to generate insights into the intelligence search work domain. These insights are applied to a supporting concept and requirements for designing and evaluating a human-AI agent team specifically for intelligence search tasks. Domain analysis reveals the dynamic nature of the ‘value structure’, a term that describes the evolving set of criteria governing the intelligence search process. Additionally, domain insight provides details for search aggregation and conceptual spaces from which the value structure could be …

Advancements In Molten Salt Physical Property Measurement: Archimedean Density, Couette Viscometer, And Flibe-Te Solution Penetration Analysis, Kent Powell Detrick

Theses and Dissertations

This work primarily centers on measuring the physical properties of molten salts. It's dedicated to outlining the methodology, enhancing measurement methods, and scrutinizing data to uncover insights regarding the interaction between molten salt and solid structures in the context of designing and generating electrical energy in molten salt reactors. The initial phase of this research involved collaborating with Brigham Young University's molecular dynamics simulation group to create an Archimedean density measurement device. This endeavor was primarily geared towards generating empirical data for the purpose of enhancing molecular dynamics simulation data. The tasks encompassed designing and validating the experimental setup, with …

Closing The Gap: Leveraging Aes-Ni To Balance Adversarial Advantage And Honest User Performance In Argon2i, Nicholas Harrell, Nathaniel Krakauer

CERIAS Technical Reports

The challenge of providing data privacy and integrity while maintaining efficient performance for honest users is a persistent concern in cryptography. Attackers exploit advances in parallel hardware and custom circuit hardware to gain an advantage over regular users. One such method is the use of Application-Specific Integrated Circuits (ASICs) to optimize key derivation function (KDF) algorithms, giving adversaries a significant advantage in password guessing and recovery attacks. Other examples include using graphical processing units (GPUs) and field programmable gate arrays (FPGAs). We propose a focused approach to close the gap between adversarial advantage and honest user performance by leveraging the …

Rapid Saline Permafrost Thaw Below A Shallow Thermokarst Lake In Arctic Alaska, Benjamin M. Jones, Mikhail Z. Kanevskiy, Andrew D. Parsekian, Helena Bergstedt, Melissa K. Ward Jones, Rodrigo C. Rangel, Kenneth M Hinkel, Yuri Shur

Michigan Tech Publications

Permafrost warming and degradation is well documented across the Arctic. However, observation- and model-based studies typically consider thaw to occur at 0°C, neglecting the widespread occurrence of saline permafrost in coastal plain regions. In this study, we document rapid saline permafrost thaw below a shallow arctic lake. Over the 15-year period, the lakebed subsided by 0.6 m as ice-rich, saline permafrost thawed. Repeat transient electromagnetic measurements show that near-surface bulk sediment electrical conductivity increased by 198% between 2016 and 2022. Analysis of wintertime Synthetic Aperture Radar satellite imagery indicates a transition from a bedfast to a floating ice lake with …

Encoder–Decoder With Pyramid Region Attention For Pixel-Level Pavement Crack Recognition, Hui Yao, Yanhao Liu, Haotian Lv, Ju Huyan, Zhanping You, Yue Hou

Michigan Tech Publications

Timely and accurate extraction of pavement crack information is crucial to maintain service conditions and structural safety for infrastructures and reduce further road maintenance costs. Currently, deep learning techniques for automated pavement crack detection are far superior to traditional manual approaches in both speed and accuracy. However, existing deep learning models may easily lose crack details when processing images containing complex background textures or other noises. Although many studies have alleviated this challenge by introducing attention mechanisms, especially the non-local (NL) block, which has the ability to efficiently capture long-range dependencies to facilitate crack pixel capture, the huge computational cost …

Probability Distribution Fitting For Censored Data: A Practical Guide For Survival Analysis Of Nbi Data For Concrete Bridge Decks In Oregon, Asmaa Almeshaileh

Dissertations and Theses

Many sophisticated statistical models and analyses have been proposed to analyze datasets derived from the national bridge inventory (NBI). These objectives range from creating an understanding of the factors that drive the deterioration of bridge members to providing agencies with quantitative information for their maintenance and repair decisions. As these models become increasingly sophisticated and difficult to comprehend and implement, practicing engineers and owners are less likely to use them. Often, however, grouping data intuitively, for example, per a select structure type or condition rating and analyzing them using prescriptive statistics such as distribution fitting, does not only lie in …

Preparation And Lithium Storage Properties Of Carbon Confined Li3Vo4 Nano Materials, Jia-Qi Fan, Huan-Qiao Song, Jia-Ying An, Amantai A-Yi-Da-Na, Mo Chen

Journal of Electrochemistry

Li₃VO₄, as a promising anode material for lithium ion batteries, has been widely studied because of its low and safe voltage, and large capacity. However, its poor electronic conductivity impedes the practical application of Li₃VO₄ particularly at high rates. In this paper, carbon confined Li₃VO₄ nano materials (Li₃VO₄/C) were synthesized by hydrothermal and solid-phase method, and for comparison, the Li₃VO₄ (N) nano materials without carbon confinement and Li₃VO₄ (B) materials were also synthesized by pure solid-phase method. The composition, structure, …

Peg-Water Electrolyte For High-Performance Zinc Iodine Dual-Ion Batteries, Xiao-Feng Qu, Yu-Ting Tang, Xin-Cheng He, Jia-Sheng Zhou, Zi-Heng Tang, Wen-Hua Feng, Jun Liu

Journal of Electrochemistry

Thanks to abundant resource and rapid redox reaction kinetics, iodine is regarded as promising positive materials inthe batteries. However, the shuttling effect due to the high solubility of iodine in the electrolyte makes the performance of battery poor. In this paper, polyethylene glycol (PEG400) and potassium iodide were added into zinc-ion aqueous electrolyte. PEG400 could complex with iodine to reduce the dissolution of iodine, therefore alleviating the formation of soluble triiodide (I₃^–) from iodine and iodide ions. Furthermore, this electrolyte was used in the battery with double carbon cloths as the current collectors, double separators and zinc …

Lif-Sn Composite Modification Layer To Modify Garnet/Lithium Metal Interface, Wu Yang, Xue-Fan Zheng, Yu-Qi Wu, Zheng-Liang Gong

Journal of Electrochemistry

The growing demands for electric vehicles and consumer electronics; as well as the expanding renewable energy storage market; have promoted extensive research on energy storage technologies with low costhigh energy density and safety. Lithium (Li) metal and solid-state electrolytes are considered as important components for next-generation batteries because of their great potential for improvements in energy density and safety performance. Inorganic garnet-type solid electrolytes with high Li-ion conductivity (about 10^-3 S·cm^-1) and high shear modulus (55 GPa) are considered to be ideal solid-state electrolytes; however; the issue of Li dendrite growth still obstructs their practical application. Herein; …

Constructing Carbon-Encapsulated Nifev-Based Electrocatalysts By Alkoxide-Based Self-Template Method For Oxygen Evolution Reaction, En-Hui Ma, Xu-Po Liu, Tao Shen, De-Li Wang

Journal of Electrochemistry

The development of green and sustainable water-splitting hydrogen production technology is beneficial to reducing the over-reliance on fossil fuels and realizing the strategic goal of "carbon neutral". As one of the half reactions for water splitting, oxygen evolution reaction has suffered the problems of sluggish four-electron transfer process and relatively slow reaction kinetics. Therefore, exploring efficient and stable catalysts for oxygen evolution reaction is of critical importance for water-splitting technology. Metal alkoxides are a series of compounds formed by the coordination function of metal ions with alcohol molecules. Metal alkoxides possess the double advantages of organic materials and inorganic materials, …

Equation-Based And Data-Driven Modeling: Open-Source Software Current State And Future Directions, Lagrande Gunnell, Bethany Nicholson, John Hedengren

Faculty Publications

A review of current trends in scientific computing reveals a broad shift to open-source and higher-level programming languages such as Python and growing career opportunities over the next decade. Open-source modeling tools accelerate innovation in equation-based and data-driven applications. Significant resources have been deployed to develop data-driven tools (PyTorch, TensorFlow, Scikit-learn) from tech companies that rely on machine learning services to meet business needs while keeping the foundational tools open. Open-source equation-based tools such as Pyomo, CasADi, Gekko, and JuMP are also gaining momentum according to user community and development pace metrics. Integration of data-driven and principles-based tools is emerging. …

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 2 [2023], (Issue 2)., Ricardo Morales-Carbajal, Cristo Leon, Sarah Lynne Bowman, Ligia-Estefania Estefania Canul-Noh, Vania C. Tovilla, Laura I. Quiroz, Elektra Diakolambrianou

Journal of Roleplaying Studies and STEAM

Editorial

Sangre, sudor, lágrimas y burocracia

Estamos muy contentos con la edición de este tercer número del Journal of Roleplaying Studies and STEAM, en primer lugar porque ¡ya contamos con ISSN!, suena a un logro menor pero debemos considerar los vericuetos burocráticos por los que hemos pasado semana tras semana para lograrlo. En segundo lugar, ¡por fin tenemos un artículo en inglés!, lo cual es motivo de celebración porque además es para nosotros un honor que sea de Elektra Diakolambrianou y Sarah Lynne Bowman, quienes en una gran muestra de confianza enviaron para dictamen su artículo denominado Dual Consciousness: What …

Synergising Bim And Real-Time Data For Improved Efficiency: An Irish Case Study, Ahmed Hassan, Ankur Mitra, Alan Hore, Mark Mulville

Conference Papers

The evolution of 3D visualisation and the Internet of Things (IoT) presents a substantial opportunity for integrating real-time data with Building Information Models (BIM) to improve its functionality and construction workflow efficiency. Integrating real-time data with BIM can enhance the digital representation of construction buildings’ physical and functional characteristics and provide recordable status of on-site operations. Nevertheless, the integration between Visualisation and IoT technologies with BIM remains in its preliminary stages and faces a myriad of technical and operational challenges. Furthermore, developing advanced solutions to facilitate this complex integration requires a considerable understanding of the viability and feasibility of merging …

11.27.2023 Orsp Connect, Liz Williamson

ORED Newsletter

November 27, 2023 edition of the ORSP newsletter

Molecular Dynamics Simulations Of The Spontaneous Deformation And Auxetics Behavior During Tensile Test Of A Nematic Liquid Crystal Elastomer Model, Haoran Wang, Nanang Mahardika

Browse all Datasets

Nematic liquid crystal elastomers (LCEs) are advanced materials known for their shape-changing capability in response to external stimuli such as heat, light and electromagnetic fields. This makes them excellent candidates for applications like soft robotics and energy harvesting. While studies on their physical behavior have shed light on the complex nonlinear mechanics of LCEs, investigations through all-atom molecular dynamics (MD) simulations remain an underutilized avenue compared to experimental and theoretical analyses. This limited use is primarily due to the lack of well-established frameworks for conducting high-fidelity atomistic simulations of LCEs. To bridge this gap, we introduce an all-atom MD simulation …

Measurements Of Azimuthal Anisotropy Of Nonprompt D0 Mesons In Pbpb Collisions At √𝑠Nn = 5.02 Tev, A. Tumasyan

Department of Civil and Environmental Engineering: Faculty Publications

Measurements of the elliptic (𝑣₂) and triangular (𝑣₃) azimuthal anisotropy coefficients are presented for D⁰ mesons produced in b hadron decays (nonprompt D⁰ mesons) in lead-lead collisions at √ 𝑠_NN = 5.02 TeV. The results are compared with previously published charm meson anisotropies measured using prompt D⁰ mesons. The data were collected with the CMS detector in 2018 with an integrated luminosity of 0.58 nb⁻¹. Azimuthal anisotropy is sensitive to the interactions of quarks with the hot and dense medium created in heavy ion collisions. Comparing results for prompt and …

Obstacle-Avoidance Trajectory Planning Of Mine Drilling Robot During Drill Pipe Loading And Unloading, Yao Yafeng, Yao Ningping, Peng Tao, Liang Chunmiao, Peng Guangyu

Coal Geology & Exploration

The position of drill pipe loading and unloading by mine drilling robot will change with the attitude adjustment of the host machine, and obstacles are present in the loading and unloading path of drill pipe. Therefore, there is a problem of obstacle-avoidance trajectory planning with variable targets in the loading and unloading of drill pipe. For this reason, the DH parameter table was created according to the performance parameters of the explosion-proof 6-DOF manipulator, and the function relation of the change in loading and unloading position of drill pipe before and after the attitude adjustment of the 3-DOF host machine …