Engineering Commons^™

Exploring The Impact Of Artificial Intelligence On Project Management Across The Manufacturing, Technology, And Construction Industries, Susie Diaz Ferrera

Harrisburg University Dissertations and Theses

This study explores the impact of Artificial Intelligence (AI) on project management across the manufacturing, technology, and construction industries. The research focuses on understanding the benefits, challenges, and long-term implications of AI utilization in these sectors. Key findings indicate that 46% of participants use AI mainly for task automation and enhancing functions like brainstorming and communication, which significantly boosts efficiency and team productivity. Despite these benefits, the research identifies several obstacles, including high initial costs, inadequate training, technical issues, and unclear regulatory guidelines. The study addresses four main questions, revealing that AI not only enhances project management processes but also …

Sustaining Digital Assets Through Mobile Estate Planning, Norliza Katuk, Asvinitha Muniandy, Norazlina Abd. Wahab, Ijaz Ahmad

An-Najah University Journal for Research - B (Humanities)

Many people own online accounts, with some having financial values like Internet banking, e-wallet and cryptocurrency. In the case of sudden death, their heirs are unaware of the digital assets possessed by the deceased person, which causes the assets to be lost forever, and the heirs might not receive the assets. If an estate plan did not account for digital assets properly, the beneficiaries would not be able to access them. Therefore, this paper addresses this issue by implementing a software development approach in designing a suitable model for sustaining digital assets through smartphones to allow the inheritance of digital …

2024 Marine Energy Collegiate Competition, Nora Riedinger, Miles Mikkelsen, Brendan Stratford, Derek Tom, Zach Kwast, Harmon Yanikian-Sutton, Kennedy Urcelay, Tori Thomas, Brady Caron

Mechanical Engineering

PolyWave Energy is the second team from California Polytechnic University at San Luis Obispo to compete in the Marine Energy Collegiate Competition. PolyWave Energy consists of Mechanical Engineering, Electrical Engineering, and Business Administration students who have worked together from September 2023 to May 2024 on designing, building, and testing a marine power device to serve a selected market.

In response to the escalating concerns surrounding carbon emissions, climate change, and the depletion of fossil fuels, California Polytechnic State University’s Polywave Energy team has developed a sustainable and reliable energy source for Autonomous Underwater Vehicle (AUV) charging. Through extensive research of …

What Construction Management Students Are Looking For In A Job Offer, Michael D. Aceves

Construction Management

Many construction companies and construction management firms invest large amounts of time and resources into the acquisition of new talent directly out of college from universities such as California Polytechnic State University San Luis Obispo (Cal Poly). Because of this, the knowledge of what incentives would be most enticing to a construction management student preparing to graduate would prove beneficial to the aforementioned construction management companies. In order to find a base level understanding of that knowledge this paper looks to report on a survey of construction management students at Cal Poly about how important a myriad of common job …

Tmha Parking Lot Project, Steven Hickman, Jack Gugale

Construction Management

The Transitional Mental Health Association (TMHA) parking lot project in Edna, California, aimed to construct a 4,400 SF decomposed granite (DG) parking lot for the TMHA’s Youth Treatment Program (YTP). TMHA’s YTP involves giving children in a transitional housing state a safe and welcoming place to live while addressing the problem of unhoused children in San Luis Obispo County. This initiative involved extensive grading, forming, surveying, and installing the necessary infrastructure to ensure both functional and aesthetic improvements for the facility. The project was meticulously planned and executed during the Spring, 2024 quarter, with a budget of approximately $4,285. The …

Evaluating Climate Sentiment In Sec 10-K Filings: S&P 50 Companies, Ruby Chu

Dissertations, Theses, and Capstone Projects

Evaluating Climate Sentiment in SEC 10-K Filings: S&P 50 Companies investigates how climate sentiment is portrayed in corporate financial reporting, focusing on SEC 10-K filings from leading S&P 50 companies. These filings offer detailed insights into financial performance, risks, and management discussions, providing a rich dataset for analyzing corporate behaviors with sustainability and environmental concerns. This study aims to shed light on the extent to which companies address environmental issues and the implications for environmental stewardship by analyzing how these topics are portrayed in their SEC 10-K filings. Drawing inspiration from established greenwashing indicator frameworks, the study develops a climate …

Naturify 2300, Yarina Yiwei Dai

Masters Theses

In my art practice, I explore the interplay between human desires to manipulate and anthropomorphize nature, as seen in the technological augmentation of plants and living entities. This investigation delves into how this intersection, alongside empathy towards these creations, contributes to fears of uncontrollability and the risks of addiction and excessive dependence on technology.

Bioengineering and genetic modification have cultivated unprecedented developments, allowing humans to manipulate the fundamental building blocks of life. My research speculates on this technology further, modifying the genetic code of organisms and creating bioengineered wearable entities with enhanced traits or entirely new functionalities. The primary objective …

Neural Operator For Accelerating Coronal Magnetic Field Computations In Bifrost Mhd Model, Yutao Du

Theses

The application of the Tensorized Fourier Neural Operator (TFNO) to significantly enhance the computational efficiency of coronal magnetic field calculations within the Bifrost Magnetohydrodynamics (MHD) model is introduced in this study. Leveraging simulated data from the European Sunrise Science Data Center, the TFNO? an extension of the Fourier Neural Operator (FNO) that incorporates tensor decomposition for improved handling of high-dimensional data?is employed to solve time-varying partial differential equations (PDEs) over a 3D domain. The performance of the TFNO is compared with traditional machine learning methods, including Vision Transformer and CNN-RNN (encoder-decoder) architectures, to demonstrate its accuracy, computational efficiency, and scalability. …

Monetary Condition Index And Its Relation With Other Macroeconomic Variables: An Empirical Study In Selected Mena Countries, Jinan Jihad Kassem

BAU Journal - Creative Sustainable Development

This article aims to construct a monetary condition index (MCI) for five countries in the MENA region, namely Algeria, Bahrain, Egypt, Jordan, and Morocco, in order to interpret the stance of monetary policy in these countries. A broad MCI has been constructed by combining two transmission channels of monetary policy, the real interest rate and the real effective exchange rate, along with bank credit to the private sector. These three indicators of the monetary conditions are collected for these countries over the period 1995–2020 for all countries except for Bahrain, which has data from 1995 to 2015. Principal component analysis …

The Santa Clara, 2024-05-28, Santa Clara University

The Santa Clara

No abstract provided.

Pet And Polyolefin Plastics Supply Chains In Michigan: Present And Future Systems Analysis Of Environmental And Socio-Economic Impacts, Utkarsh S. Chaudhari, Kamand Sedaghatnia, Barbara K. Reck, Kate Maguire, Anne T. Johnson, David Watkins, Robert M. Handler, Tasmin Hossain, Damon S. Hartley, Vicki S. Thompson, Alejandra Peralta, Jenny L. Apriesnig, David Shonnard

Michigan Tech Publications

Many actions are underway at global, national, and local levels to increase plastics circularity. However, studies evaluating the environmental and socio-economic impacts of such a transition are lacking at regional levels in the United States. In this work, the existing polyethylene terephthalate and polyolefin plastics supply chains in Michigan were compared to a potential future (‘NextCycle’) scenario that looks at increasing Michigan’s overall recycling rate to 45%. Material flow analysis data was combined with environmental and socio-economic metrics to evaluate the sustainability of these supply chains for the modeled scenarios. Overall, the NextCycle scenario for these supply chains achieved a …

Effect Of Recommending Users And Opinions On The Network Connectivity And Idea Generation Process, Sriniwas Pandey, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

The growing reliance on online services underscores the crucial role of recommendation systems, especially on social media platforms seeking increased user engagement. This study investigates how recommendation systems influence the impact of personal behavioral traits on social network dynamics. It explores the interplay between homophily, users’ openness to novel ideas, and recommendation-driven exposure to new opinions. Additionally, the research examines the impact of recommendation systems on the diversity of newly generated ideas, shedding light on the challenges and opportunities in designing effective systems that balance the exploration of new ideas with the risk of reinforcing biases or filtering valuable, unconventional …

The Santa Clara, 2024-05-10, Santa Clara University

The Santa Clara

No abstract provided.

An Overview Of The Product Development Process For A Lounging Grove Chair: The Rebel Lounge, Gracey Massengill

Honors Theses

This report focuses on the process of completing my senior capstone project for the Center for Manufacturing Excellence with my teammates, Andrew Brady, Carter Doss, Brooke Grissinger, and Karson Wardell. It explains the development, design and manufacturing of the Rebel Lounge Chair, a comfortable, portable and versatile chair made with the University of Mississippi Grove in mind and the prospective customers that would purchase such a chair. The report describes the phases of brainstorming, market research, prototyping, manufacturing process development, and accounting analysis that the Rebel Lounge capstone team went through to create their product.

Due to out-of-the-box brainstorming and …

Bidding Strategy For A Wind Power Producer In Us Energy And Reserve Markets, Anne Stratman

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Wind power is one of the world's fastest-growing renewable energy resources and has expanded quickly within the US electric grid. Currently, wind power producers (WPPs) may sell energy products in US markets but are not allowed to sell reserve products, due to the uncertain and intermittent nature of wind power. However, as wind’s share of the power supply grows, it may eventually be necessary for WPPs to contribute to system-wide reserves. This paper proposes a stochastic optimization model to determine the optimal offer strategy for a WPP that participates in the day-ahead and real-time energy and spinning reserve markets. The …

The Importance Of Data Preparation In A Data Science Problem, Sophia Beard

Data Science Undergraduate Honors Theses

This study is going to be based on an inventory outlier automation data science problem that is being solved to identify and prescribe inventory level outliers to help keep shelves stocked in terms of beverages. The objective of this paper will address why it is so important to understand the data that is involved in a particular data science problem and how planning ahead ensures a successful outcome in the data science world. In this data science project, Spatiotemporal Outlier Analysis for Inventory Intervention Automation, it was crucial for the team to understand, research, and visualize the data we were …

Innovative Rate Design As A Free Market Solution To Climate, Resiliency, And Economic Challenges, Brendan J. Moore

LSU New Orleans Theses and Dissertations

A century-old problem of electricity rate design is cost-shifting between ratepayers (Wellinghoff, J. & Tong, J., 2015). A much newer cost-shifting example of great and increasing importance happens whenever ratepayer generated “renewable energy” is sold to the grid—all too often, this is accused of being unfairly rewarded (Ritchie, 2016). ProRate resolves both these concerns and ProRate can actually be derived simply from the premise of avoiding “all” cost shifts between ratepayers (Katz, CLEPm Rewards to Arrest Demand Cost-Shifting, 2019; Katz, CLEP5 Rewards to Arrest Energy Cost-Shifting, 2019). Another major problem with the Old Utility Model is the lack of price …

The Importance Of Text Representation For Neural Networks Through Natural Language Processing Techniques, William Parsley

Data Science Undergraduate Honors Theses

Text representation is a fundamental aspect of natural language processing (NLP) when it comes to the performance of neural networks. Free-form text fields are being utilized in more and more industries. Anything from a description of an item on a web store to tracking service events to military-grade aircraft is being collected in free-form text. The goal of the thesis is to highlight best practices and discuss trends in data to prepare text for a neural network. It will demonstrate various techniques for representing free-form text in the context of neural networks, focusing on data preparation decisions, embedding techniques, and …

Examining The Impact Of Customer Rfp Characteristics On Award Compliance, Laasya Ravipati

Data Science Undergraduate Honors Theses

In the context of intermodal transportation, understanding the dynamics of award compliance holds significant importance for operational efficiency and strategic decision-making. Award compliance refers to the percentage of awarded freight volume that is realized, indicating the extent to which contractual agreements are fulfilled. This analysis delves into the intricate relationship between customer characteristics and award compliance, aiming to provide valuable insights into the variability and predictability of compliance rates. By analyzing Request for Pricing (RFP) data and primary awarded freight volumes, the study seeks to address the need for more accurate volume estimations, crucial for sales planning, revenue projections, and …

Examining Award Compliance To Inform Resource Allocation, Jacob Haarala

Data Science Undergraduate Honors Theses

This project focuses on JB Hunt Transport Inc's intermodal business unit (JBI) by focusing on the challenges associated with Published Pricing and Contractual Pricing. The primary issue revolves around the variance between the awarded freight volumes in Requests for Pricing (RFPs) and the actual volumes realized when the freight is shipped. This discrepancy poses challenges for effective sales planning, revenue goals, and optimal freight network management within JBI. Reporting tools, such as PowerBI, are currently used by JBI to provide insights into award compliance on a weekly basis. However, our goal with this project was to provide a deeper understanding …

Automatic Speech Recognition For Air Traffic Control Using Convolutional Lstm, Sakshi Nakashe

Electronic Theses, Projects, and Dissertations

The need for automatic speech recognition in air traffic control is critical as it enhances the interaction between the computer and human. Speech recognition helps to automatically transcribe the communication between the pilots and the air traffic controllers, which reduces the time taken for administrative tasks. This project aims to provide improvement to the Automatic Speech Recognition (ASR) system for air traffic control by investigating the impact of convolution LSTM model on ASR as suggested by previous studies. The research questions are: (Q1) Comparing the performance of ConvLSTM with other conventional models, how does ConvLSTM perform with respect to recognizing …

Sports Science: An Entrepreneurial Venture, Nicole J. Jones

Senior Honors Projects

In sports science, ensuring maximum athlete safety and optimizing data utilization are pivotal yet leave room for further work. My project, Unbeaten SafeWare, addresses these critical issues by focusing on two primary concerns: preventing heat-related and cardiac illnesses, which are significant causes of athlete fatalities, and enhancing the transparency and utility of sports data. This initiative involves developing a shirt integrated with sensors to monitor vital signs and an athlete management system to handle data input, storage, analysis, and accessibility for athletes.

The project has advanced through the efforts of a multidisciplinary team, which includes biomedical engineering undergraduates, two faculty …

Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?

The research questions were answered through a thorough …

Supporting Text And Data Analysis Across Campus From The Academic Library, Amy Kirchhoff, Hejin Shin Phd

Digital Initiatives Symposium

The ability to comprehend and communicate with text-based data is essential to future success in academics and employment, as evidenced in a recent survey from Bloomberg Research Services which shows that nearly 97% of survey respondents now use data analytics in their companies and 58% consider data and text mining a business analytics tool (https://www.sas.com/content/dam/SAS/bp_de/doc/studie/ba-st-the-current-state-of-business-analytics-2317022.pdf). This has fueled a substantial growth in text analysis research (involving the use of technology to analyze un- and semi-structured text data for valuable insights, trends, and patterns) across disciplines and a corresponding demand on academic libraries to support text analysis pedagogy and text analysis …

The Santa Clara, 2024-04-26, Santa Clara University

The Santa Clara

No abstract provided.

Integrated Analysis Of Economic Optimization And Life Cycle Assessment For A Fully Modular Wheelchair Accessibility Ramp Utilizing Recyclable Materials, Nicolas Whelan

Honors Scholar Theses

In response to the growing emphasis on sustainability and accessibility in infrastructure development, this research paper delves into the optimization of economic opportunities presented by fully modular wheelchair accessibility ramps. By integrating principles of modularity, recyclability, and circular design, these ramps offer a promising solution to the dual challenges of accessibility and environmental impact. The study employs interdisciplinary methods, merging design, economics, and environmental sustainability, to evaluate the feasibility and potential of these innovative ramp designs. Central to the analysis is the application of a Life Cycle Assessment (LCA) to quantify the environmental impact and carbon footprint associated with modular …

Incorporating Safety Excellence Into Urban Air Mobility (Uam): Insights From Commercial Aviation, Rotorcraft, And Unmanned Aerial Systems (Uas), Seyoung "Evie" Jang

Senior Honors Theses

This paper focused on safety considerations in Urban Air Mobility (UAM) through a cross-industry examination of commercial aviation, rotorcraft, and unmanned aerial systems (UAS). Although UAM promises transformative benefits, there are safety concerns remaining. Based on the Federal Aviation Administration (FAA)’s Concept of Operations (ConOps), the literature review explained the fundamental concepts of UAM. In commercial aviation, regulatory framework, pilot training and certification, vehicle design and maintenance, and emergency response planning are emphasized. For rotorcraft, safety requirements for vertical flight, collision avoidance systems, heliport standards, and weather adaptability are crucial. Leveraging UAS advancements, the study suggested autonomous systems, sense-and-avoid technology, …

The Impact Of Using Standard Quality Measures Such As Iso 9001:2015 On Emerging Software Companies Created With Agile Methodologies., Elisa Orillac

Harrisburg University Dissertations and Theses

This qualitative research aimed to analyze the impact of applying quality measure standards, specifically ISO 9001:2015, in emerging software companies that have decided to manage their projects through Agile methodologies. While Agile methodologies are well known for their continuous delivery of software, the quality that results from these projects is not always guaranteed. This research aimed to evaluate what benefits in terms of cost, timely delivery of working software, and production have companies who already applied QMS had. Or, if applying the QMS had a negative result, why was this the case? The hypothesis for the research was that those …

Excellence Summit 2024, Office Of Research And Sponsored Projects Operations

Excellence Summit (Research Week) Archived Proceedings

In it's 17th year, the University of the Incarnate Word, welcome all to read and review the proceedings of the annual research week. The 2024 Excellence Summit highlighted academic excellence across all schools featuring topics from nutrition studies to soil amendments, artificial intelligence, medical case studies, and music composition studies. The rich mixture of humanities, health sciences, physical sciences, education, and business can be found in this booklet. We thank all that contributed to these works and hope the community enjoys learning from today's and tomorrow's leaders in research, inquiry, and scholarship.

Proposed Charlotte To Atlanta High-Speed Passenger Rail Line: An Economic, Infrastructural, And Developmental Analysis In The Upstate Of South Carolina, Ian C. Macurda, Kimberly Whitehead

SC Upstate Research Symposium

This research paper is an in-depth analysis of the high-speed passenger rail line proposed between Charlotte, NC and Atlanta, GA and its impact on the economy, infrastructure, and future development of the Upstate of South Carolina. Currently, passenger rail service between Charlotte and Atlanta is offered on Amtrak at late hours throughout the night on its long-distance passenger rail line The Crescent from New York City, NY to New Orleans, LA. The train is often delayed and is operating at a deficit for Amtrak, like most of their long-distance routes. Traffic on Interstate 85 through the Upstate is another issue …