Engineering Commons^™

The Sensitivity Of A Laplacian Family Of Ranking Methods, Claire S. Chang

HMC Senior Theses

Ranking from pairwise comparisons is a particularly rich subset of ranking problems. In this work, we focus on a family of ranking methods for pairwise comparisons which encompasses the well-known Massey, Colley, and Markov methods. We will accomplish two objectives to deepen our understanding of this family. First, we will consider its network diffusion interpretation. Second, we will analyze its sensitivity by studying the "maximal upset" where the direction of an arc between the highest and lowest ranked alternatives is flipped. Through these analyses, we will build intuition to answer the question "What are the characteristics of robust ranking methods?" …

Using Computational Fluid Dynamics And Optical Sensor Technology To Scale Cell Culture Platforms, Mandar Makwana

KGI Theses and Dissertations

Different cell culture vessels ranging from micro scale to laboratory scale to commercial scale play critical role in upstream process development for biologics manufacturing. Based on the mode of operation, cell culture vessels have different hydrodynamic environments, making it challenging to scale. Integrated approaches using computational tools supported by experimental studies can overcome these challenges. Computational Fluid Dynamics (CFD) is one such tool that can simulate hydrodynamics within the cell culture vessels and can provide insights at macro and micro-scale. Accuracy of a CFD model significantly depends on the fluid model and assumptions. Traditionally, simple two-equation fluid models were developed …

Power System Dynamic Control And Performance Improvement Based On Reinforcement Learning, Wei Gao

Electronic Theses and Dissertations

This dissertation investigates the feasibility and effectiveness of using Reinforcement Learning (RL) techniques for power system dynamic control, particularly voltage and frequency control. The conventional control strategies used in power systems are complex and time-consuming due to the complicated high-order nonlinearities of the system. RL, which is a type of neural network-based technique, has shown promise in solving these complex problems by fitting any nonlinear system with the proper network structure.

The proposed RL algorithm, called Guided Surrogate Gradient-based Evolution Strategy (GSES) determines the weights of the policy (which generates the action for our control reference signal) without back-propagation process …

Artificial Emotional Intelligence In Socially Assistive Robots, Hojjat Abdollahi

Electronic Theses and Dissertations

Artificial Emotional Intelligence (AEI) bridges the gap between humans and machines by demonstrating empathy and affection towards each other. This is achieved by evaluating the emotional state of human users, adapting the machine’s behavior to them, and hence giving an appropriate response to those emotions. AEI is part of a larger field of studies called Affective Computing. Affective computing is the integration of artificial intelligence, psychology, robotics, biometrics, and many more fields of study. The main component in AEI and affective computing is emotion, and how we can utilize emotion to create a more natural and productive relationship between humans …

A Case Study: Electronic Teaching Methods From The Pandemic Era That Students Still Appreciate, Douglas De Boer

ASEE North Midwest Section Annual Conference 2023 Publications

Background
The COVID-19 pandemic of 2020-2022 caused a rapid shift away from face-to-face instruction and toward online instruction. Due to the emergency speed with which the changes were rolled out results varied, desirable data on the quality of the changes was often not kept, and the retrospective study of what happened and the outcomes thereof is ongoing at the time this case study was written.
Purpose/Hypothesis
This case study is a comparison of the author’s experience with the current literature. It is hypothesized that some of the techniques used during the pandemic were effective and should be retained and/or further …

Teaching Applied Management Courses Online: Considerations For Good Practices, Albena Yordanova, Elizabeth Tofte, Byron G. Garry

ASEE North Midwest Section Annual Conference 2023 Publications

Background: As a result of the COVID-19 pandemic in 2020, many Engineering, Engineering Technology, and Applied Management courses had to be quickly converted from face-to-face to online. Faculty used what experience they possessed to change their teaching procedures and style, in order that students would continue to learn the important facts, theories, and processes necessary to launch their professional careers.
Purpose: The demand for online courses decreased as the pandemic subsided, but there continues to be a growing need for flexibility in teaching, in order to best serve students in their educational pursuits.
Findings: Good online course practices include focusing …

Student Experiences With Active Learning Across Course Delivery Modalities, Devin Berg

ASEE North Midwest Section Annual Conference 2023 Publications

Background: Methods for the delivery of instruction in the engineering classroom have been shifting at an increased rate over the past few years due to several factors. Pedagogical approaches which have seen increased growth in adoption include the use of online delivery, for full courses or for portions of a course, pre-recorded preparatory material, and active-learning activities. According to the literature, students generally appreciate the use of active in-class experiences where there is ample time for asking questions and solving problems.
Method: In this paper, I examine student perceptions of the use of a flipped-classroom approach with high levels of …

Engaging Industry Mentors In A Construction Management Capstone Program, Janet E. Merriman

ASEE North Midwest Section Annual Conference 2023 Publications

Background: Engineering capstone courses utilize industry to present the problem and work with student teams in creating a solution, resulting in direct exposure of engineering students to industry members that benefits the student, the industry, and the program. The purpose of this paper is to introduce an approach used to incorporate direct industry involvement in a construction management capstone course to effect similar outcomes.
Method: To create a similar capstone environment to engineering courses, in which industry works directly with student teams, South Dakota State University’s construction management program implemented a capstone industry mentor program. During the capstone course industry …

Distracted In Practice, Maria R. Ebling, Jason C. Brown, Benjamin M. Wallen

ASEE North Midwest Section Annual Conference 2023 Publications

Background - Distractions create well-known impediments to student learning. Many researchers have proposed techniques to overcome the challenges associated with distractions in the classroom.
Purpose - Our study investigates instructors’ experiences in using various theories and practices in a variety of STEM (Science, Technology, Engineering, & Math) and HSS (Humanities & Social Sciences) classrooms applied in a post-secondary setting. We examine how well the techniques work in practice, investigating questions such as which techniques were most employed, whether instructors perceived improvements in student engagement, and whether instructors plan to use the techniques in the future or advocate the use of …

Small-Scale Sustainable Agriculture As A Platform For Experiential Learning, Devin Berg

ASEE North Midwest Section Annual Conference 2023 Publications

Background: Market pressures and the impacts of climate change are threatening the livelihoods of small-holding farmers around the world. As farmers themselves face shortages of workers and the pressures of climate change, adaptation is often required for sustainability. Solutions must be developed in collaboration with local communities to be sustainable, accessible, and equitable.
Method: These challenges provide opportunities for experiential learning within the engineering classroom. In this paper, I describe a diverse set of projects with a sustainable agriculture theme that I have used to enhance student learning through projects implemented in courses, capstone experiences, summer research programs, and independent …

Artifacts Of Learning – The Polytechnic Experience (Work In Progress), Nathan Spike, Kevin Dietsche, Greg Slupe

ASEE North Midwest Section Annual Conference 2023 Publications

Background
Programs at the University of Wisconsin-Stout within the Engineering and Technology Department routinely reinforce content covered in the classroom with related lab activities. Manufacturing process courses have students produce educational artifacts – objects which students keep, using industrial equipment and processes. The recent purchase of a 6-axis industrial welding robot for use in a Joining and Casting course (ETECH 253) provide an opportunity to measure to what extent, if any, student artifact creation has on the development of career interest in areas involving related manufacturing processes.
Hypothesis
Presently, content is delivered in a lecture-only format. As the course module …

Effective Methods Of Simultaneously Teaching In Person And Online, Naseer Yari

ASEE North Midwest Section Annual Conference 2023 Publications

The usual teaching strategies are no longer effective when half of the students are in class and the other half are online concurrently (also known as hybrid flexible or HyFlex). The challenge is how to be visible to both groups at the same time and with the same level of quality. The goal is to have a special connection with both groups of students so they can hear the emphasis of terms, see facial expressions, hand movements, and body language which, for some students, can make the topic easier to understand. The efficiency of HyFlex teaching greatly depends on the …

Cultivating Curiosity: Instilling An Entrepreneurial Mindset With Project Based Learning, Adam Carlton Lynch, Gary Booking

ASEE North Midwest Section Annual Conference 2023 Publications

Background: Striving to instill a greater sense of Curiosity, one of the three Cs of the Kern Engineering Entrepreneurial Network (KEEN) Entrepreneurial Mindset (EM), we enhanced our existing project-based learning approach in an undergraduate engineering statics course.
Purpose / Hypothesis: To strengthen students Curiosity in the field of engineering, we had students reverse engineer a common handheld power tool. In the Statics course, detailed herein, students focus solely on the hard drill carrying case.
Design / Method: While several classes had projects in the past, a new integrated approach was employed to enhance the connections between students in other courses. …

Inspire Newsletter Spring 2023, Missouri University Of Science And Technology. Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.

Inspire Newsletter Fall 2023, Missouri University Of Science And Technology. Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.

Jcati Carbon Fiber Recycler: Gearing And Shredding, Diana Faamausili

All Undergraduate Projects

The purpose of this project is to build and improve on the carbon-fiber recycler at Central Washington University. The carbon-fiber recycler consists of four components such as a crusher, shredder, conveyor, and oven. This report will focus on the shredding and gearing elements. The chain drive on the shredder and the gearing module were replaced with a synchronous belt drive.

The pitch diameters for the sprockets on the shredder and the center distance of the shafts was evaluated to find the belt length. The velocity ratio and the angular velocity was used to find the minimum torque on the shaft. …

Rc Baja - Drivetrain And Chassis, James C. Cando

All Undergraduate Projects

The annual RC Baja competition which is held at Central Washington University during the third week of April, showcases the different remote-control vehicles built by the student teams and put the vehicles in series of different challenges such as the sprint, slalom, and motocross. The objective of the senior project is to design, manufacture, and test mainly a drivetrain system as well as a chassis. The drivetrain system provides power for the driving force and the chassis provides housing for the different components of the vehicle. The process began with setting requirements for the vehicle that was used to determine …

Lipin1 Overexpression Ameliorates The Dystrophic Phenotype In Mdx Mice By Enhancing Myofiber Membrane Integrity, Abdullah Alshudukhi

Browse all Theses and Dissertations

Duchenne muscular dystrophy (DMD) is a severe disease characterized by a progressive muscle fiber loss. DMD affects approximately 1 in 3500 male births worldwide. Patients die at early ages due to failure of respiratory and cardiac functions. DMD is caused by mutations in dystrophin gene. Loss of dystrophin leads to disruption of the membrane integrity and necroptosis in skeletal muscles of DMD patients contributing to muscle fiber loss. Currently, effective therapies for DMD have not been established. The goal of this project is to find mechanisms that may improve muscle function/structure despite dystrophin deficiency. Our data show that the expression …

Unfolding The Link Between The Axon Initial Segment, Endoplasmic Reticulum Stress, And Cognitive Impairment In Type 2 Diabetes, Jennae Shelby

Browse all Theses and Dissertations

Dementia and mild cognitive impairment are well recognized comorbidities of type 2 diabetes, termed diabetic encephalopathy, that lack in course modifying treatment options. The axon initial segment (AIS) is a critical mediator of neuronal output. Shortening of AIS length has been shown to decrease neuronal excitability and is implicated in diabetic encephalopathy. AIS shortening may be reversible, hence investigating the mechanism responsible could address this significant gap in patient care by providing new therapeutic targets. Endoplasmic reticulum (ER) stress, a cellular condition that activates the unfolded protein response has been implicated in diabetic encephalopathy. Here, using immunocytochemistry in primary mouse …

Understanding And Quantifying Human Factors In Programming From Demonstration: A User Study Proposal, Shakra Mehak, Aayush Jain, John D. Kelleher, Philip Long, Michael Guilfoyle, Maria Chiara Leva

Conference papers

Programming by demonstration (PbD) is a promising method for robots to learn from direct, non-expert human interaction. This approach enables the interactive transfer of human skills to the robot. As the non-expert user is at the center of PbD, the efficacy of the learned skill is largely dependent on the demonstrations provided. Although PbD methods have been extensively developed and validated in the field of robotics, there has been inadequate confirmation of their effectiveness from the perspective of human teachability. To address this gap, we propose to experimentally investigate the impact of communicating robot learning process on the efficacy of …

Co-Design Of An Interactive Wellness Park: Exploring Design Requirements For A Multimodal Outdoor Physical Web Installation With Older Adults, Fatima Badmos

Academic Posters Collection

The global demographic landscape is experiencing a notable shift, characterised by a growing proportion of adults over 60. According to projections, the proportion of individuals aged 60 and above is expected to reach one-sixth of the global population by 2030. Furthermore, by 2050, this demographic is projected to exceed a staggering two billion people. Amidst this shift, there is an urgent need to develop interactive and innovative solutions to address older adults' unique challenges, particularly in outdoor physical activity.

A co-design methodology involving older adults’ participation from the idea generation to the application development process will be adopted to address …

Self-Diffusion In Misoriented Aluminum (111) Substrates After Jump-To-Contact, Noah Kane Manuel

Mechanical Engineering Master's Theses

Self-diffusion between misoriented aluminum (111) substrates after jump-to-contact (JC) is studied using molecular dynamics simulations. Diffusive behaviors of three twist misorientation angles, 2.45°, 4.40° and 6.00°, are studied at temperatures ranging from 75% to 95% of the melting temperature of aluminum. The existence of the post-JC interface is found to enhance diffusive behavior of atoms near the interface. The 4.40° misorientation angle has the highest pre-exponential factor of diffusion and the lowest activation energy, when compared to the other angles. For all misorientations the activation energies in the direction perpendicular to the JC interface was found to be the lowest. …

Solidity Compiler Version Identification On Smart Contract Bytecode, Lakshmi Prasanna Katyayani Devasani

Browse all Theses and Dissertations

Identifying the version of the Solidity compiler used to create an Ethereum contract is a challenging task, especially when the contract bytecode is obfuscated and lacks explicit metadata. Ethereum bytecode is highly complex, as it is generated by the Solidity compiler, which translates high-level programming constructs into low-level, stack-based code. Additionally, the Solidity compiler undergoes frequent updates and modifications, resulting in continuous evolution of bytecode patterns. To address this challenge, we propose using deep learning models to analyze Ethereum bytecodes and infer the compiler version that produced them. A large number of Ethereum contracts and the corresponding compiler versions is …

The Open Charge Point Protocol (Ocpp) Version 1.6 Cyber Range A Training And Testing Platform, David Elmo Ii

Browse all Theses and Dissertations

The widespread expansion of Electric Vehicles (EV) throughout the world creates a requirement for charging stations. While Cybersecurity research is rapidly expanding in the field of Electric Vehicle Infrastructure, efforts are impacted by the availability of testing platforms. This paper presents a solution called the “Open Charge Point Protocol (OCPP) Cyber Range.” Its purpose is to conduct Cybersecurity research against vulnerabilities in the OCPP v1.6 protocol. The OCPP Cyber Range can be used to enable current or future research and to train operators and system managers of Electric Charge Vehicle Supply Equipment (EVSE). This paper demonstrates this solution using three …

Prediction Of Ka-Band Radar Cross Section With Thz Scale Models With Varying Surface Roughness, Andrew J. Huebner

Browse all Theses and Dissertations

Radar cross section (RCS) of electrically large targets can be challenging and expensive to measure. The use of scale models to predict the RCS of such large targets saves time and reduces facility requirements. This study investigates Ka-band (27 to 29 GHz) RCS prediction from scale model measurements at 500 to 750 GHz. Firstly, the coherent quasi-monostatic turntable RCS measurement system is demonstrated. Secondly, three aluminum 18:1 scale dihedrals with surface roughness up to 218 icroinches are measured to investigate how the roughness affects the Ka-band prediction. The measurements are compared to a parametric scattering model for the specular response, …

A Secure And Efficient Iiot Anomaly Detection Approach Using A Hybrid Deep Learning Technique, Bharath Reedy Konatham

Browse all Theses and Dissertations

The Industrial Internet of Things (IIoT) refers to a set of smart devices, i.e., actuators, detectors, smart sensors, and autonomous systems connected throughout the Internet to help achieve the purpose of various industrial applications. Unfortunately, IIoT applications are increasingly integrated into insecure physical environments leading to greater exposure to new cyber and physical system attacks. In the current IIoT security realm, effective anomaly detection is crucial for ensuring the integrity and reliability of critical infrastructure. Traditional security solutions may not apply to IIoT due to new dimensions, including extreme energy constraints in IIoT devices. Deep learning (DL) techniques like Convolutional …

Editorial: Nanoscale Insight Into The Hydration Products Of Cementitious Materials: From Theory To Engineering, Huiwen Sun, Muhan Wang, Hongyan Ma, Xiao Wang, Bo Pang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Rainwater Catchment System In Public Sector Housing, Araceli Peña, Muhammad Yanzar Sarin

2023 REYES Proceedings

Water is a universal right for all living beings on the planet, but today it has become a commercial good. It costs significantly to extract water from increasingly distant storage sources. For these reasons and many more the fight for water has become increasingly intense. Precisely, an alternative to avoid more dam construction is the implementation of public politic with actions focused on the integral solution of water, that is to say, that it be distributed fairly and equitably to all users, avoiding more concessions to great industries like as soft drinks and breweries, which are the main consumers and …

Sgs: Mutant Reduction For Higher-Order Mutation-Based Fault Localization, Luxi Fan, Zheng Li, Hengyuan Liu, Paul Doyle, Haifeng Wang, Xiang Chen, Yong Liu

Conference Papers

MBFL (Mutation-Based Fault Localization) is one of the most commonly studied fault localization techniques due to its promising fault localization effectiveness. However, MBFL incurs a high execution cost as it needs to execute the test suite on a large number of mutants. While previous studies have proposed mutant reduction methods for FOMs (First-Order Mutants) to help alleviate the cost of MBFL, the reduction of HOMs (Higher-Order Mutants) has not been thoroughly investigated. In this study, we propose SGS (Statement Granularity Sampling), a method which conducts HOMs reduction for HMBFL (Higher-Order Mutation-Based Fault Localization). Considering the relationship between HOMs and statements, …

Developing Global Engineers- A Comparison Between Scotland, Usa And Chile, Patricia Munoz-Escalona, Luis Medina, Mervyn Marquez, Homero Murzi, Christopher Smith, Colin Miligan

Practice Papers

Engineering-accredited programmes are reviewed every 4-5 years by professional bodies with the aim of assuring standards that guarantee that graduate engineers can fulfil the highest technical demands of the industry workforce in order to achieve a sustainable economy and society. The approaches to develop these require global engineering competences (GECs), such as international and intercultural teamwork, language skills, critical thinking, and ethical and human-centered problem solving, are proving insufficient to meet the emerging challenges that this century's society is facing. To develop these GECs, engineering programmes have been working on including physical and virtual mobility such as Collaborative Online International …