Engineering Commons^™

Two New Mathematical Models For Two Level Electricity Network Design With Distributed Generation, Burçi̇n Çakir Erdener, Berna Dengi̇z, Zülal Güngör, İmdat Kara

Turkish Journal of Electrical Engineering and Computer Sciences

In the new millennium, traditional electrical power systems have undergone a significant change driven by a set of requirements arising from evolving and changing technology. Thus, fundamental changes have occurred in the way electrical energy is produced, transmitted, and distributed. This situation has revealed the need to expand existing networks or to establish new networks. The available literature revealed that particular attention to the latter one is still limited due to the complexity of the power system. The purpose of this study is to contribute to the body of literature that tries to address the gap at overall design of …

Improvement Of The Break And Steering System For The Golf-Cart, Rami Raed Mustafa

Senior Honors Theses and Projects

This project aims to gain knowledge and test theories related to autonomous vehicles using an electric golf cart as a test platform. There are several goals set, including obtaining electrical and controls experience related to autonomous driving and expanding their electrical engineering skills. The project has the potential to benefit the general population, as the electric golf cart shares similar attributes to a motor vehicle. Through diligent work and research, three key objectives have been achieved: transforming the previous single Arduino system into two mega Arduinos, reconfiguring the placement of the steering motor, and implementing an emergency braking system. Improving …

Investigation Of Fiber Orientation And Mechanical Properties Of Pyrolysis Recycled Carbon-Fiber Reinforced Thermoset Composite, Reva N. Simmons, Harry Lee, Garam Kim

Discovery Undergraduate Interdisciplinary Research Internship

With increasing demand of carbon fiber reinforced fiber thermoset composites, establishing a sustainable cycle for these materials becomes crucial. Pyrolysis is a process of reclaiming carbon fiber from thermoset composites by thermally degrading the polymer at high temperatures allowing the fibers to be extracted. Carbon fiber reclaimed through current pyrolysis processes for thermoset composites typically loses its original shape and orientation, making it difficult to reorganize the fibers. This study investigated the feasibility of maintaining the fiber orientations for continuous fiber reinforced thermoset composite during pyrolysis by stitching the carbon fiber layup to a conformable copper mesh during the manufacturing …

The Impacts Of Advanced Avionics On Degraded Visual Environments, Sultan Naseeb Harib Fairouz Mubarak, Anju Anna Jacob Dr

International Journal of Aviation, Aeronautics, and Aerospace

Degraded visual environments (DVE) such as brownout, sand storms, and night conditions are responsible for accidents and hence losses in the aviation industry. There is a need to develop avionic systems to support pilots when they encounter environmental conditions that compromise their visual capacity. This report discusses the effects of DVEs on aviation, expounds on the advanced avionic systems available and further elaborates how these systems are implemented in countering DVE conditions. The report recommends on how advanced avionics systems have been and are being implemented in aircrafts to support decisions made by pilots flying under degraded visual environments.

Accuracy Assessment Of The Ebee Using Rtk And Ppk Corrections Methods As A Function Of Distance To A Gnss Base Station, Joseph Cerreta, David Thirtyacre, Peter Miller, Scott S. Burgess, William J. Austin

International Journal of Aviation, Aeronautics, and Aerospace

The use of unmanned aircraft systems to collect data for photogrammetry models has grown significantly in recent years. The accuracy of a photogrammetric model can depend on image georeferencing. The distance from a reference base station can affect the accuracy of the results. Positioning corrections data relies on precise timing measurements of satellite signals. The signals travel through the Earth's atmosphere, which introduces errors due to ionospheric and tropospheric delays. The aim of this research was to examine the eBee X and its global GNSS accuracy by comparing the RTK and PPK methods at different base station distances in photogrammetry …

Business Process Architecture For The Integration Of Artificial Intelligence At Aerospace Organizations, Andrew Walker

International Journal of Aviation, Aeronautics, and Aerospace

Artificial intelligence's capability is rapidly increasing, and the aerospace industry must capitalize on this computing revolution. The current study conducts an integrative literature review to identify current and potential AI applications beneficial to the aerospace industry. It utilizes the findings to develop a new high-level business process architecture integrating AI in the workplace. Business process elements are extracted from the literature using logical reasoning to modify a baseline architecture model. The new model is developed to allow the integration of artificial intelligence from a holistic perspective, at the more general level of employee interaction and at the more narrow level …

Stochastic Optimization To Reduce Aircraft Taxi-In Time At Igia, New Delhi, Rajib Das, Saileswar Ghosh, Rajendra Desai, Pijus Kanti Bhuin, Stuti Agarwal

International Journal of Aviation, Aeronautics, and Aerospace

Since there is an uncertainty in the arrival times of flights, pre-scheduled allocation of runways and stands and the subsequent first-come-first-served treatment results in a sub-optimal allocation of runways and stands, this is the prime reason for the unusual delays in taxi-in times at IGIA, New Delhi.

We simulated the arrival pattern of aircraft and utilized stochastic optimization to arrive at the best runway-stands allocation for a day. Optimization is done using a GRG Non-Linear algorithm in the Frontline Systems Analytic Solver platform. We applied this model to eight representative scenarios of two different days. Our results show that without …

A Deep Bilstm Machine Learning Method For Flight Delay Prediction Classification, Desmond B. Bisandu, Irene Moulitsas

Journal of Aviation/Aerospace Education & Research

This paper proposes a classification approach for flight delays using Bidirectional Long Short-Term Memory (BiLSTM) and Long Short-Term Memory (LSTM) models. Flight delays are a major issue in the airline industry, causing inconvenience to passengers and financial losses to airlines. The BiLSTM and LSTM models, powerful deep learning techniques, have shown promising results in a classification task. In this study, we collected a dataset from the United States (US) Bureau of Transportation Statistics (BTS) of flight on-time performance information and used it to train and test the BiLSTM and LSTM models. We set three criteria for selecting highly important features …

Bridgewater Magazine, Volume 33, Number 2, Fall 2023, Bridgewater State University

Bridgewater Magazine

Taking Flight: Meet BSU students and alumni from the growing Aviation Science Program. Also in this issue: Two faculty members research the lives and times of early Black and Indigenous local citizens; Faculty researchers recount details of two of the enslaved in Colonial Bridgewater; and Alumna finds career satisfaction in helping others.

Database Design And Implementation, Weiru Chen

ATU Faculty OER Books and Materials

The book of Database Design and Implementation is a comprehensive guide that provides a thorough introduction to the principles, concepts, and best practices of database design and implementation. It covers the essential topics required to design, develop, and manage a database system, including data modeling, database normalization, SQL programming, and database administration.

The book is designed for students, database administrators, software developers, and anyone interested in learning how to design and implement a database system. It provides a step-by-step approach to database design and implementation, with clear explanations and practical examples. It also includes exercises and quizzes at the end …

Exploring The Application Of Chatgpt In Mechanical Engineering Education, Joan Puig-Ortiz, Rosa Pàmies-Vilà, Lluïsa Jordi Nebot

Practice Papers

The use of language models such as ChatGPT in the field of engineering has gained popularity in recent years due to their ability to assist engineers in their projects and tasks. In this study, we evaluated the effectiveness of ChatGPT in supporting students' learning in the Mechanism and Machine Theory (MMT) subject. The study involved participants who were asked to interact with ChatGPT to obtain concept clarification and factual information related to MMT.

Our results show that the majority of participants were familiar with ChatGPT and had used it for academic or technical questions. They also found it easy to …

Enhancing Quality Teaching Through Informal Community Learning In Knowledge Centres, Sonia M. Gomez-Puente, Esther Ventura Medina

Practice Papers

Teaching and learning have always been at the heart of the missions of universities. The growing interest nowadays to pay attention to the quality of higher education teaching results in initiatives such as the establishment of Teaching and Learning Centres (TLCs). The Academy for Learning and Teaching (ALT) at Eindhoven University of Technology (TU/e) has recently been created, and it is still under construction, with the purpose of promoting quality of teaching through engaging staff in interaction and in learning lessons from evidence-based educational practices and innovation in engineering education. Furthermore, ALT supports the professional development of faculty teaching staff …

Something Old, Something New: Two Library Building Projects Converting Old Buildings Into New Libraries, Allison Kavanagh

Articles

This paper describes two interrelated library building projects at Technological University Dublin. The first is the ongoing construction of an Academic Hub to accommodate the library and other academic support services, incorporating a protected structure into a new building. The second is the refurbishment of part of an office block, originally built in 1970 to be a hotel, to house an interim library until completion of the Academic Hub. This project has provided valuable information for the Academic Hub project.

3d Simulation Of A Yogurt Filling Machine Using Grafcet Studio And Factory Io: Realization Of Industry 4.0, Bashir Salah, Waqas Saleem, Razaullah Khan, Ahmed Tawhid Ahmed Soliman

Articles

Manufacturing systems, enterprises and academic institutions worldwide are implementing industry 4.0 (IR4.0). By integrating the services and equipment, IR4.0 develops autonomous systems that manage industrial operations and exchange real-time data in real time. This study includes a simulation of an existing production system using the GRAFCET Studio software.

Recovery Of Valuable Metals From Electronic Waste Using A Novel Ammonia-Based Hydrometallurgical Process, Peijia Lin

Theses and Dissertations--Mining Engineering

The growing quantity of waste electrical and electronic equipment (WEEE), also known as electronic waste (E-waste), has been an area of growing public concern. The abundance of valuable metals contained in waste printed circuit boards (WPCBs) has made it a promising secondary resource, especially for Cu and Au. Although the recovery of metals from WPCBs via hydrometallurgical routes has been studied extensively over the past 20 years, most of the research has been limited in the laboratory. In current hydrometallurgical processes, strong acids and expensive oxidizers are often used to ensure a high recovery of metals without considering the sustainability …

Operationalizing A Culture For Successful Lean Transformations: A Framework And Model-Based Tools, Amir Najarzadeh Dr.

Theses and Dissertations--Manufacturing Systems Engineering

Lean manufacturing has been embraced by many companies as a business model to promote operational excellence. However, a high percentage of lean implementation attempts have failed; many organizations have not been able to sustain continuous improvements to achieve lean transformations. This failure is often attributed to the sole focus on the hard-side (tools) of lean, at the expense of the soft side (culture). The majority of research exploring the cultural dimensions of lean either aims to increase awareness about culture or addresses it only in a cursory manner. To bridge this gap this study aims to identify and assess the …

Decarbonization Analysis For Thermal Generation And Regionally Integrated Large-Scale Renewables Based On Minutely Optimal Dispatch With A Kentucky Case Study, Donovin Lewis, Aron Patrick, Evan S. Jones, Rosemary E. Alden, Abdullah Al Hadi, Malcolm D. Mcculloch, Dan Ionel

Power and Energy Institute of Kentucky Faculty Publications

Decarbonization of existing electricity generation portfolios with large-scale renewable resources, such as wind and solar photo-voltaic (PV) facilities, is important for a transition to a sustainable energy future. This paper proposes an ultra-fast optimization method for economic dispatch of firm thermal generation using high granularity, one minute resolution load, wind, and solar PV data to more accurately capture the effects of variable renewable energy (VRE). Load-generation imbalance and operational cost are minimized in a multi-objective clustered economic dispatch problem with various generation portfolios, realistic generator flexibility, and increasing levels of VRE integration. The economic feasibility of thermal dispatch scenarios is …

A Process Intensification Approach To Improve Volatile Fatty Acids Production, Extraction, And Valorization, Can Liu

Theses and Dissertations--Biosystems and Agricultural Engineering

Anaerobic digestion (AD) is a widely used biowaste conversion method. Recent studies have explored arrested methanogenesis as an alternative approach to leverage existing AD facilities and produce volatile fatty acids (VFAs) instead of biogas. VFAs have been recognized as precursors for a range of value-added chemicals and bioproducts. Arrested methanogenesis involves inducing acidic fermentation by halting the AD process before methanogenesis. It has been found that higher organic loading and thermophilic conditions enhance VFA accumulation and stabilize the acidic fermentation (AF) system.

Brewer's spent grain (BSG), a significant by-product of the brewing industry, was employed as the feedstock for VFA …

Swosu Research And Scholarly Activity Fair 2023, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the members of the University Research and Scholarly Activity Committee (USRAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University (SWOSU) - Welcome to the Thirtieth SWOSU Research and Scholarly Activity Fair! There are 77poster presentations and 2 oral presentations involving over 130 student and faculty researchers, writers, presenters, artists, collaborators, and faculty sponsors encompassing activities from the SWOSU College of Pharmacy; SWOSU School of Nursing & Allied Health Sciences; and SWOSU Departments of Allied Health Sciences; Art, Communication & Theatre; Biological Sciences; Business; Computer Science; Chemistry & Physics; Engineering Technology; Language & Literature; …

Personalized Point Of Interest Recommendations With Privacy-Preserving Techniques, Longyin Cui

Theses and Dissertations--Computer Science

Location-based services (LBS) have become increasingly popular, with millions of people using mobile devices to access information about nearby points of interest (POIs). Personalized POI recommender systems have been developed to assist users in discovering and navigating these POIs. However, these systems typically require large amounts of user data, including location history and preferences, to provide personalized recommendations.

The collection and use of such data can pose significant privacy concerns. This dissertation proposes a privacy-preserving approach to POI recommendations that address these privacy concerns. The proposed approach uses clustering, tabular generative adversarial networks, and differential privacy to generate synthetic user …

Quality Control Methods Through Pre-Determination Of Fields For Usrap Projects, Zachary Heath

Theses and Dissertations--Civil Engineering

The United States Road Assessment Program (usRAP) was designed to rate highways for their ability to protect road users and to make recommendations to engineers and policy makers for investments to enhance road safety. The program is heavily dependent on local road data or characteristics. Pre-populating usRAP requires coders to evaluate sixty-six attributes at 100-meter intervals along a subject highway. In this thesis, methods for obtaining and assuring the quality of some of the usRAP data elements are proposed. Kentucky Transportation Cabinet Highway Information System (HIS) data are used as “ground truth” for roadway grade and curvature. Methods of using …

Historical And Forecasted Kentucky Specific Slope Stability Analyses Using Remotely Retrieved Hydrologic And Geomorphologic Data, Daniel M. Francis

Theses and Dissertations--Civil Engineering

Hazard analyses of rainfall-induced landslides have typically been observed to experience a lack of inclusion of measurements of soil moisture within a given soil layer at a site of interest. Soil moisture is a hydromechanical variable capable of both strength gains and reductions within soil systems. However, in situ monitoring of soil moisture at every site of interest is an unfeasible goal. Therefore, spatiotemporal estimates of soil moisture that are representative of in-situ conditions are required for use in subsequent landslide hazard analyses.

This study brings together various techniques for the acquisition, modeling, and forecasting of spatiotemporal retrievals of soil …

Clustering States To Improve The Strategic Highway Safety Plan, Victoria Cambron

Theses and Dissertations--Civil Engineering

Each update to a Strategic Highway Safety Plan (SHSP) can require a large amount of time, resources, and funding. From the requirements in U.S.C.148(a)(13)(E-F), in the SHSP update process states must consider the results of other transportation planning processes and develop a list of strategies to reduce or eliminate fatal and serious injury crashes (United States, 2023). To fulfill these requirements more efficiently and to gain the largest amount of benefit from said research, this thesis asks the question: how do we select other state transportation plans to study for ideas on improving our own SHSP? In this thesis, a …

Value Propositions, Adoption Factors, And Implementation Considerations: Building A Path Towards Construction Innovation, Makram Bou Bou Hatoum

Theses and Dissertations--Civil Engineering

The construction industry has been influenced by a wave of technological advancements and trends that were introduced by the fourth industrial revolution or Industry 4.0. Mapped as Construction 4.0, these technologies are disrupting the way projects are designed, planned, constructed, delivered, and operated. While existing research has predominantly focused on technology adoption and use cases across the project lifecycle, limited attention has been given to the organizational perspective and explored Construction 4.0 as a transformative vision. As such, there is a significant need for decision science research to support decision-makers in understanding the value of Construction 4.0, gaining leadership buy-in, …

Implementation Of Digital Twins For Small Water Systems, Aidan Gill

Theses and Dissertations--Civil Engineering

The main objective of this thesis is to develop a working digital twin for a small water system in central Kentucky which will serve as a general format for other similar systems in the region wishing to implement digital twins for operator support. While the benefit of having a calibrated hydraulic and water quality model is widely understood, small distribution systems tend to not have the same financial and economic means to properly support these tools. Creation of a digital twin using this methodology provides a means for operators to predict pressure, flows, chlorine residuals, and total trihalomethane (TTHM) concentrations …

Machine-Learning Based Model Predictive Control For A Three-Phase Inverter, Arturo De La Cruz

All Graduate Theses, Dissertations, and Other Capstone Projects

In recent years, the study of three-phase inverter controls has become important with the rising use of renewable energy sources (RES) in the form of distribution generation (DG). Many control types have been developed for DG inverters and others were traditional controls for the generation of the main grid power that were adapted for a system with less inertia. Among these controls is the model predictive control (MPC) which allows for a fast transient response and good reference tracking. One disadvantage of the MPC is that it does this prediction and optimization online which can limit the applications due to …

Soil Moisture And Geomorphologic Data For Use In Dynamic And Forecastable Landslide Hazard Analyses In Eastern Kentucky, Daniel M. Francis, L. Sebastian Bryson

Civil Engineering Research Data

These data are the geomorphologic and land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates over known landslides in Eastern Kentucky. Additionally Long Short-Term Memory Recurrent Neural Network and logistic regression machine learning codes, as well as an Application programming interface code are included. Finally, in-situ data from Eastern Kentucky is included.

Bibliography, Huanjing Wang

Faculty/Staff Personal Papers

Bibliography of publications by Huanjing Wang.

Bibliography, Mark Doggett

Faculty/Staff Personal Papers

Bibliography of publications by Mark Doggett.

Magnetic Inversion Approach For Modeling Data Acquired Across Faults: Various Environmental Cases Studies, Khalid S. Essa, Eid R. Abo-Ezz, Neil Lennart Anderson, Omar A. Gomaa, Mahmoud Elhussein

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

An effective extension to the particle swarm optimizer scheme has been developed to visualize and modelize robustly magnetic data acquired across vertical or dipping faults. This method can be applied to magnetic data sets that support various investigations, including mining, fault hazards assessment, and hydrocarbon exploration. The inversion algorithm is established depending on the second horizontal derivative technique and the particle swarm optimizer algorithm and was utilized for multi-source models. Herein, the inversion method is applied to three synthetic models (a dipping fault model contaminated without and with different Gaussian noises levels, a dipping fault model affected by regional anomaly, …