Engineering Commons^™

Equity-Aware Natural Hazards Resilience Assessment And Improvement Of Road Networks, Naqib Mashrur

LSU Doctoral Dissertations

As climate change intensifies the frequency and severity of hurricanes, the resulting flood events pose escalating threats to transportation infrastructure and community well-being. This dissertation addresses the intersection of flood resilience, network connectivity, and social equity by integrating principles from network analysis, equity planning, and disaster resilience. The research begins by examining the social dimensions of accessibility loss during hurricane-induced flooding. Spatial and demographic analysis reveals that Native American and Hispanic populations in the case study region experience the most significant reductions in access to essential service facilities, highlighting inequities in systems.

Investigating a region southern Louisiana road network demonstrates …

Investigating The Impacts Of Agrivoltaic Design Choices On Inter-Row Shading And Electricity Production, Marcus Wu, Anna Stuhlmacher

Infinite Loop

No Abstract available.

Business Financial Information Systems, Lirie Koraqi, James Jolovski Prof.

International Journal of Business and Technology

An information system is a combination of software, hardware, and telecommunication networks to collect useful data, especially in an organisation. Many businesses use information technology to complete and manage their operations, interact with their consumers, and stay ahead of their competition. Some companies today are completely built on information technology.

Well designed and implemented business information systems should provide the information management and outside parties need to make informed and timely decisions about the operating health of the company. Business considers the need to have information available to assess the profitability of a new product they are selling or their …

Comparative Evaluation Of Microcontrollers For Real-Time Heart Rate Monitoring And Tachycardia/Bradycardia Detection, Arxhend Jetullahu, Luan Mulaku, Saranda Demolli

International Journal of Business and Technology

The growing demand for portable healthcare devices has led to combining microcontrollers with machine learning models to enable real-time health monitoring. It's quite paramount, specifically in the context of identifying irregularities in heart rate, like tachycardia—where the heart races unusually fast—and bradycardia, an instance of a sluggish heartbeat. The neat thing is that this study takes a stab at contrasting the effectiveness among three popular microcontroller types—the ESP32, the Raspberry Pi, and the Arduino Nano 33 BLE Sense—in terms of real-time tracking of heartbeats and spotting any oddities (using, of course, a model developed with some machine learning elements). At …

The Energy Future Of Kosovo, Why It Is Difficult To Give Up Coal, Avni Alidemaj, Drenusha Gashi

International Journal of Business and Technology

Energy and mining have constantly been highlighted as sectors with great potential for the Republic of Kosovo. Kosovo, as a small country in Southeast Europe, faces significant challenges in transitioning from a coal-dependent energy system to a more sustainable and diversified energy portfolio. Kosovo has a significant number of natural resources that is not managing to find the best use of these resources; therefore, a new and more dynamic approach is needed to change this trend. The main role of electrical energy systems is to enable safe, reliable and qualitative supply of electricity to all consumers. In this aspect, generation …

Study On The Use Of Mechanized-Fired Clay Bricks As A Supplementary Cementitious Material, Esra Elsheikh

International Journal of Business and Technology

The current global tendency is to replace a portion of the cement in the concrete mix with materials of cementitious properties to mitigate the cement industry’s negative environmental impact. This study explores using finely milled Fired Clay Brick debris to replace cement in the production of mortars partially. The aim is to create a more cost-effective mortar while tackling the problem of disposing of waste bricks. Two samples of it were collected from two factories, pulverized into a powder, and added to the cement mortar mixtures in 10%, 15%, and 20% by cement mass. Mortars were examined for their chemical …

Building Enveloperetrofitting Innovation: Recycled Materials Role In Digital Fabrication And 3d Printing, Amr Soliman Elgohary, Haytham M. Elbadrawy, Ahmed Elsamanoudi

HBRC Journal

Traditional construction methods are one of the main causes of resource depletion. This research explores the intersection of digital fabrication methods using recycled materials and eco-friendly construction through retrofitting the building envelope to achieve sustainability. Traditional methods of retrofitting existing building elements consume many resources (materials-energy) and produce a lot of waste. In this context, 3D printing, a modern digital manufacturing method, stands out as a promising alternative, offering innovative ways to reduce material and energy consumption and reduce waste in the building construction process. This technique can be used to produce innovative modules that may improve the environmental performance …

Building A Data-Driven Security Ai Framework Using Machine Learning Models, Christopher Chan Vi

Master's Theses

This research project explores a modern approach to Intrusion Detection System (IDS) anomaly detection by leveraging Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLM), and Explainable AI (XAI). The purpose is to assess the effectiveness of these technologies in enhancing the understanding of intrusion events. This research study addresses the challenges of threshold determination and the interpretability of anomaly detection results. The proposed solution involves an LLM-based framework with XAI capabilities, integrated with a Retrieval Augmented Generation (RAG) architecture, to provide clear explanations for detected anomalies, utilizing both custom and pre-trained datasets. The study navigated inherent challenges, including …

Developing Accessible Narrative-Based Stem Learning Software For K-6 Braille Display Users, Dylan Ravel, Daniel Tsivkovski, Brandon Foley, Maryam Etezad, Franceli Cibrian, Ariel Han, Rajeev Joshi

Student Scholar Symposium Abstracts and Posters

This research develops a free, accessible web application that enables K-6 students who are blind or visually impaired (BVI) to learn STEM concepts using refreshable braille displays. Currently, most online learning tools are not designed for BVI students, creating a significant educational barrier.

The application interfaces with commercial braille displays and uses narrative-based learning to make STEM content approachable and engaging. By presenting material as interactive stories, students can connect with concepts while developing braille reading skills. The curriculum design prioritizes accessibility through the Accessible Rich Internet Applications (ARIA) standards and screen reader support.

The goal is to provide BVI …

Imaging Of Dynamic Processes In Materials With A Laser-Wakefield Accelerator, J. Kang, R. J. Shalloo, M. J. Higgins, S. J.D. Dann, J. N. Gruse, C. I.D. Underwood, A. F. Antoine, C. Arran, C. D. Baird, M. D. Balcazar, N. Bourgeois, J. A. Cardarelli, K. Krushelnick, S. P.D. Mangles, C. D. Murphy, N. Lu, P. P. Rajeev, M. P. Selwood, D. R. Symes, C. P. Ridgers, A. G.R. Thomas, C. Thornton, Z. Najmudin, P. G. Sanders, P. D. Staublin, A. J. Shahani, M. J.V. Streeter

Michigan Tech Publications

Betatron x rays generated from laser-wakefield accelerators are a promising source for imaging dynamic processes in materials. Here, we present proof-of-concept imaging of microstructural evolution in a hypermonotectic Al-Bi alloy, which consists of liquid Bi particles in a solid Al matrix. The images capture the elongation and fragmentation of Bi particles upon isothermal annealing. Because of the femtosecond time scale of the betatron source, the images are not subject to motion blur, whereas the accessibility of the source allows for studies of long-term processes such as annealing. The high-resolution data reveal that the evolution of Bi particles is mediated by …

Viability Of Widely Used Encryption Schemes In Drone Transmission, Emanuel Yasir Nelson

Cybersecurity Undergraduate Research Showcase

This paper presents throughout research on the security issues related to drone transmission. These topics were addressed and explained, in particular the aspects relating to cybersecurity, for utmost clarity. These include threats and vulnerabilities, drone transmission the impact of encryption on latency, and the details of the encryption methods AES-128, AES-256, and ChaCha20 that were used in the experiment described in the paper. Each encryption method performance was measured and outputted by the Python code developed and used in the experiment. Afterwards, the performance of each method was analyzed in relation to their decryption time, encryption time, end to end …

Unsaturated Fatty Acid Oil-Based Microdroplets: A Promising Novel Class Of Microdroplets, Ramiz S. Alejilat

Seton Hall University Dissertations and Theses (ETDs)

Droplet-based microfluidics has rapidly advanced numerous fields, including chemistry, biology, materials science, medicine, food science, and cosmetics. In these systems, fluorocarbon oil combined with fluorinated surfactants is the preferred medium for fluid encapsulation, offering exceptional stability and biocompatibility essential for sensitive biological and chemical processes. However, growing concerns about the environmental and biological risks associated with fluorinated chemicals have prompted a search for alternatives.

This study is the first to explore the use of unsaturated fatty acids derived from emu oil for microdroplet formation. We characterized droplet formation based on flow rates and the presence non-fluorinated surfactant at a certain …

Using Artificial Intelligence Applications In Humanizing Temporary Buildings For Workers, Developing Design Standards And Involving Users, Anas Almahmoud, Hatem El Shafie

Mansoura Engineering Journal

This research focuses on artificial intelligence (AI) and its tools for assisting in architectural design and decision-making. It identifies modern AI applications for use in research and design processes, aiming to raise awareness among architects and consulting firms. This is the primary objective of the research. The study also analyzes a mobile temporary worker cabin complex in Riyadh, specifically the metro project, as a case study. The goal is to address its architectural program, improve its design, identifies the necessary design criteria and make it more humane. The core research problem lies in testing the effectiveness of using AI tools …

Siamese: Stealing Fine-Tuned Visual Foundation Models Via Diversified Prompting, Madhureeta Das, Gaurav Bagwe, Miao Pan, Kaichen Yang, Xiaoyong Yuan, Lan Zhang

Michigan Tech Publications

Visual foundation models, characterized by their robust generalization and adaptability, serve as the basis for a wide array of downstream tasks. When fine-tuned for specific tasks, these models encapsulate confidential and valuable task-specific knowledge, making them prime targets for model stealing (MS) attacks. While recent efforts have exposed MS threats in practical scenarios such as data-free and hard-label contexts, these attacks predominantly target traditional victim models trained from scratch. Fine-tuned visual foundation models, pre-trained on vast and diverse datasets and then fine-tuned on downstream tasks, present significant challenges for traditional MS attacks to extract task-specific knowledge. In this paper, we …

Artificial Intelligence In Higher Education: Opportunities And Challenges, Maytha Al-Ali, Adam Marks, Jasur Umirzokov, Noura Metawa

Iraqi Journal for Computer Science and Mathematics

While AI is often presented as a panacea for the challenges facing higher education, there is limited empirical evidence supporting its effectiveness in improving student learning and institutional performance. This gap between expectation and reality emphasizes the need for rigorous research, realistic goal-setting, and careful planning to ensure that AI technologies deliver on their promises in higher education. This study contrasts the potential utilization of AI technologies in Higher Education from the literature, against actual utilization in universities. The study also investigates the key barriers of AI implementation in higher education. This study uses a mixed-research methods approach, including case …

Retracted: Ai-Driven Flood Prediction, Monitoring, And Warning Systems: Design, Evaluation, And Simulation, Abdel Rahman A. Alkharabsheh, Lina M. Momani

Iraqi Journal for Computer Science and Mathematics

The Climate is becoming increasingly unpredictable, while the incidence of extreme weather is on the rise — both are contributing to surging global demand for advanced flood forecasting and monitoring services. This paper introduces an AI-powered Flood Monitoring and Warning System (FMWS) through an IoT sensor network, scalable real-time data analytics, and Machine Learning (ML) models to enhance the accuracy of prediction, risk analysis, and early warning dissemination in the notified areas. Hydrological and meteorological data would be collected by an ultrasonic sensor, a radar sensor, and a pressure sensor interfacing via GSM/GPRS, Wi-Fi, LoRa, or satellite network links. Machine …

Global-Local Method For Poroelasticity Problems With Localized Pressure Effects, Hemantha Kunwar

Math Department Colloquium Series

In many poroelasticity applications, pressure effects are confined to a small region, making it inefficient and possibly unnecessary to solve the full system across the entire domain. Instead, we propose to solve the poroelasticity problem locally, where pressure effects are significant, and use a simpler linear elasticity model elsewhere. This creates a coupled elasticity–poroelasticity problem with transmission conditions. To solve this coupled problem, we propose a new non-intrusive global–local algorithm that iteratively solves the elasticity problem in the entire (global) domain and the poroelasticity problem only in a local domain, ensuring proper transmission conditions across the interface. This approach, which …

Detection Of Breath, Phonation And Cough Sounds Using Sound Feature Vectors And Artificial Neural Networks By Calculating Lung Forced Vital Capacity With Mobile Infrastructures, Edmond Hajrizi

International Journal of Business and Technology

Objective: In this study, it is aimed to calculate the tidal volume capacity with mobile infrastructures and to determine the O2 and CO2 values from breath, phonation and cough sounds with the help of artificial neural networks using voice feature vectors. In addition, it is aimed to develop a method that will enable computation of forced expiratory volume via mobile devices.

Materials and Methods: Since sound disease diagnosis is basically a classification problem, tidal volume classification is considered as a pattern recognition problem. Our automatic O2 and CO2 classification study as a pattern recognition function includes three subcomponents; Identifying and …

Air Traffic Control Staffing Deficiencies And Their Relationship To Incidents And Accidents, Ashton Irons, Sunkyum Kim, Gianna Mendez, Vivek Sharma, Brooke Wheeler

Aeronautics Student Publications

Air Traffic Control (ATC) staffing deficiencies are a long-standing systemic crisis. This study revealed a statistically significant but weak positive relationship between ATC staffing deficiencies and incident and accident rates.

Low Power Magnetically Shielded Krypton Hall Thruster Design, Grace Klang

Honors Theses

This project investigates the design and modeling of a low-power Hall-Effect Thruster optimized for krypton propellant, serving as a continuation of Western Michigan University’s Hall thruster development series. Krypton is selected as an alternative to xenon due to its significantly lower cost and increased availability, though its higher ionization energy and reduced atomic mass introduce performance, ionization, and efficiency challenges that must be addressed through careful design. The goal of this study is to design two 300-W class thrusters capable of achieving high efficiency and long operational life on krypton propellant while maintaining full compatibility with existing laboratory facilities and …

Kinship Infrastructure Design: Evaluating Diversity And Resilience In Emergency Response Systems Through Agent-Based Modeling, Fayruz Maysha

Doctoral Dissertations and Master's Theses

Traditional infrastructure systems are often designed for predictable scenarios, making them vulnerable to disruption when real-world conditions change unexpectedly. This research addresses that limitation by introducing Kinship Infrastructure Design (KID), a bioinspired framework based on the kinship coefficient (Φ). Adapted from studies of genetic relatedness in eusocial insects, the kinship coefficient (Φ) measures similarity and diversity among system components by calculating the degree to which their functional traits—encoded as a synthetic genome—match. This research investigates whether a system design can achieve a “Goldilocks Zone” of functional diversity where systems achieve optimal adaptability and coordination under uncertainty."

Rather than relying on …

Bridging Modalities: Enhancing Multimodal Sentiment Analysis For Social Media Networks, Misbah Ul Hoque

LSU Doctoral Dissertations

Social media platforms like X (formerly Twitter) serve as rich sources of textual and visual information, making multimodal sentiment analysis essential for understanding complex human emotions. This dissertation aims to advance multimodal sentiment analysis by improving the semantic alignment and fusion of textual and visual features, thereby enabling more accurate and context-aware sentiment interpretation of social media content.

To address challenges in multimodal integration, this work proposes two complementary MSA approaches. The first approach introduces a similarity-based multi-layer attention neural network (SiMANN) that enhances modality integration through cosine-based similarity fusion and modality-specific attention to emphasize salient features in text and …

Iso-Detr: A Novel Detection Transformer For Industrial Small Object Detection, Faisal Saeed, Anand Paul

School of Public Health Faculty Publications

Effectively detecting and assessing real-time structural and ecological parameters in contemporary manufacturing environments poses significant challenges, particularly in identifying minute objects within product images. The swift evolution of the industrial sector underscores the necessity for intelligent manufacturing environments to uphold stringent product quality standards. However, accelerating production processes at high speeds heightens the risk of defective product outcomes. This research addresses the challenges inherent in small object detection within industrial contexts, proposing an innovative detection transformer model tailored to modern manufacturing environments. The proposed model integrates a feature-enhanced multi-head self-attention block (FEMSA), merging cross-channel communication network and multiple multi-head self-attention …

“Shaping Academic Teaching At The Crossroads Of Ethics And Artificial Intelligence”, Workshop At Warsaw University Of Technology, Warsaw, 25 September 2024, Julia Braniewska, Bartłomiej Skowron

Yearbook of Antitrust and Regulatory Studies

This document is a report on the workshop, “Shaping Academic Teaching at the Crossroads of Ethics and Artificial Intelligence”, which formed a component of the “Ethics and AI” conference hosted by Warsaw University of Technology.

Confidential, Attestable, And Efficient Inter-Cvm Communication With Arm Cca, Sina Abdollahi, Amir Al Sadi, Marios Kogias, Hamed Haddadi, David Kotz

Other Faculty Materials

Confidential Virtual Machines (CVMs) are increasingly adopted to protect sensitive workloads from privileged adversaries such as the hypervisor. While they provide strong isolation guarantees, existing CVM architectures lack first-class mechanisms for inter-CVM data sharing due to their disjoint memory model, making inter-CVM data exchange a performance bottleneck in compartmentalized or collaborative multi-CVM systems. Under this model, a CVM's accessible memory is either shared with the hypervisor or protected from both the hypervisor and all other CVMs. This design simplifies reasoning about memory ownership; however, it fundamentally precludes plaintext data sharing between CVMs because all inter-CVM communication must pass through hypervisor-accessible …

The Impact Of Infrastructure Construction And Remodeling Of Cities On Its People' Quality Of Life Miraj District-(Madi-Cairo) As A Geological Heritage Area, Ahmed M.E. Hammad

Mansoura Engineering Journal

Rapid urbanization is increasing globally, the urbanization rate expected to rise to more than 66% by 2050. (According to UN estimates) the increasing rates of urbanization in the world means adding 2.5 billion people to the urban population within a short period. Which necessitates increasing the traffic axes and the rest of the networks in terms of lengths and widths within the existing cities, and with the presence of the population during these works - despite their inevitability - the quality of their urban life is affected socially, naturally and economically. the research monitors these effects and the extent of …

Fabrication And Evaluation Of Large Alumina Crucibles By Vat Photopolymerization Additive Manufacturing For High-Temperature Actinide Chemistry, R. Joey Griffiths, Christy Santoyo, Jean-Baptise Forien, Bradley Childs, Andrew J. Swift, Andrew Cho, Alexander Wilson-Heid, George Ankrah, Devin Rappleye, Aiden A. Martin, Jason Jeffries, Kiel Holliday

Faculty Publications

Additive manufacturing (AM) offers opportunities to advance the design and function of ceramic tooling in high temperature actinide pyrochemistry. In technical ceramics such as alumina, conventional forming techniques often restrict design flexibility and can limit experimental progress. In this study, we investigate the use of vat photopolymerization (VP) with commercial resins to fabricate large-scale alumina crucibles, reaching dimensions up to 125 mm, which is significantly larger than typically reported for dense VP ceramics. Notably, these additively manufactured components are produced using consumer-grade hardware, which limits process control, but offers significant upside in scalability and accessibility. Using microscopy and X-ray computed …

Evaluating Kansai Airport's Ppp: Grounded Ambitions, Concession Of Financial, Geotechnical, And Climate Risk, Edmund Cho, Dimitrios V. Siskos

International Journal of Aviation, Aeronautics, and Aerospace

This study critically examines the Kansai Airports Group’s 44-year Public-Private Partnership (PPP) monopoly-type concession encompassing Kansai International (KIX), Osaka Itami (ITM), and Kobe (UKB) airports. The research uses financial analysis, Monte Carlo simulation, and NPV-at-risk modeling to evaluate how Japan’s fixed-term private monopoly model allocates financial, operational, and environmental risks. In 2015, there were significant developments in the promotion of the Private Finance Initiative (PFI) Act. It was revised in 2015; as a result, it finds that the underestimated long-term maintenance liabilities, especially Kansai airport (KIX) foundation subsidence, and lacked flexibility to manage exogenous shocks like COVID-19 and Typhoon Jebi. …

A Transition Framework For Hybrid Tls In Enterprise-Level Systems, William Hadd

Cybersecurity Undergraduate Research Showcase

Enterprises face an immediate need to protect long-lived data against harvest-now, decrypt-later threats while maintaining interoperability across layered systems. With NIST’s first post-quantum standards finalized (ML-KEM, ML-DSA, SLH-DSA) and TLS hybridization drafts defining concrete ECDHE + ML-KEM groups, adoption can begin at the TLS termination layer even before full ecosystem support for post-quantum signatures arrives (NIST, 2024; IETF, 2025). In this paper, we propose an enterprise-oriented transition framework and maturity model for hybrid TLS across email, internal API gateways, and object storage. We specify where to enforce, which hybrid groups to select, and how to prevent silent downgrade with policy …

Production Of Recombinant Β-Galactosidase Protein In Bombyx Mori (Bmn1) Baculovirus Insect Cells, Shuhrat Sh. Khasanov, Jumanazar Ch Mengturayev, Jaloliddin M. Abdurakhmanov, Dilmurodjon B. Turdaliyev, Shakhnoz S. Azimova

CHEMISTRY AND CHEMICAL ENGINEERING

In this study we aimed to obtain a novel recombinant β-galactosidase baculovirus using the Bombyx mori baculovirus – insect cell expression system. A new recombinant plasmid was constructed on the basis of the pBacPAK8 transfer vector and cloned in E. coli cells. Subsequently, a recombinant baculovirus was generated in Bombyx mori cells, and efficient expression of the β-galactosidase gene was observed. The enzymatic activity of the protein was confirmed by the ONPG assay. The results demonstrated that the baculovirus – insect cell system expands the possibilities for producing proteins of industrial significance.