Digital Commons Network^™

Investigation Of The Isbr Method With A Quad Detector For The Measurement Of Turbine Rotor Inlet Temperature, A. Cole Cecil

Theses and Dissertations

Temperature measurements at the inlet of a gas turbine inlet have proven challenging due to the high flow velocities, limited space, and high temperatures. This work investigates the use of the Integrated Spectral Band Ratio (ISBR) method to measure temperature using a new set of gas bands and a new method for collecting, measuring m and converting raw signals to digital temperature data at low cost and high speed (4 Hz). The Pressurized Oxy-Coal (POC) reactor was refurbished and used in this work to simulate turbine inlet conditions. The POC was modified to produce a stable natural gas and air …

In The Shadow Of Prompts: Adversarial Attacks And Model Cloning In Large Language Models, Kanchon Gharami

Doctoral Dissertations and Master's Theses

Large-language models (LLMs) already power mission critical tasks such as command-and-control chat, satellite ground-station automation, military analytics, and cyber-defense. Since most of these services are offered through application programming interfaces (APIs) that still expose full or top-k logits and lack mature safeguards, they present a serious, often overlooked attack surface. Earlier work has shown how to rebuild the output projection layer or distill surface behavior, but no attack has produced a deployable clone within a tight query budget. In this thesis, we address this problem by presenting a practical pipeline for cloning LLMs under constrained settings. The approach first estimates …

Modifications To The Spiral Array: A Computational Approach To Music Analysis, Rose Bittle

DePaul Discoveries

The Spiral Array is a geometric model of musical tonality and exists as a tool in computer-aided music analysis. The model was first published in 2000 by Elaine Chew, PhD, in her thesis, Towards a Mathematical Model of Tonality. This project aimed to restructure the Spiral Array, limiting user ambiguity and optimizing the application of musical key finding. The existing model defines pitch, chord, and key location to form a series of spirals dependent on a set of flexible weights. In our research we were able to identify potential issues with the pitch definitions themselves and experiment with methods …

Student Insights Into Airline Pathway Program Participation, Lauren Burmester, Becky Lutte, Donald Seeterlin, Isabella Gianni

Discovery Day - Daytona Beach

Airlines and universities have increasingly established partnership agreements for the purpose of providing a clear path for employment for professional pilots. ERAU has multiple agreements with airlines and corporate flight departments. The purpose of this research project is to examine the motivation for students to join these pilot pathway programs. The authors will explore why students choose to join such programs and what barriers keep them from participating.

The research will be conducted in two phases. The first phase, supported by an internal grant, involves a comprehensive literature review, and the development of a survey instrument and interview protocol. The …

Stormwater Treatment Practices - Guidance For Maintenance And Targeting Pollutants, Peter T. Weiss

Stormwater Drainage Conference

Stormwater Drainage Conference

Biochar-Based Filtration And Barrier Systems For Urban Stormwater Treatment, Krishna R. Reddy

Stormwater Drainage Conference

Conference that deals a wide range of issues dealing with stormwater drainage. Professor Krishna Reddy of University of Illinois Chicago presented an invited talk titled "Biochar-Based Filtration and Barrier Systems for Urban Stormwater Treatment"

Design Of A Simplified Biomimetic Autonomous Entertainment Robot, Jessica E. Morris, Shanny May Ruiz, Morgan Snyder, Hannah Guild, Gabriel Cardona-Tous

Graduate Scholarship and Creative Works

The advancement of technology has paved the way for robots with the purpose of entertainment to become more popular. However, the exploration of biomimetic actions as a factor of entertainment is majorly limited to the mimicry of young domesticated animals such as puppies and kittens, with some notable exceptions. However, there is a wide range of possibilities for robotics that mimic animals marketed as pets, outside of the common examples. This work seeks to explore the opportunity for autonomous systems with entertainment driven and expressive actions in the family of Testudines (turtles and tortoises), an undomesticated species, but still often …

Traditional Energy And Renewable Energy And Their Implications On Sustainable Development (Examples From Lebanon And The World), Radwan Ejel

Al Jinan الجنان

This study aims to introduce the types of fossil and renewable energies by presenting the various associated concepts. It shows their characteristics, in addition to the concept of sustainable development, to show the extent of traditional energy's repercussions on sustainable development and the role of renewable energies in promoting its concept through its three economic, social, and environmental dimensions. It also presents some statistical models on renewable energy, especially solar energy in Lebanon, the Arab world, and the world.

Previously, man used to invest in traditional fossil energy, such as oil, gas, and coal, to meet his economic and technological …

Enhancing Visibility On A Science Dmz With P4-Perfsonar, Ali Mazloum, Elie Kfoury, Ali Alsabeh, Jose Gomez, Jorge Crichigno

Faculty Publications

The Science Demilitarized Zone (Science DMZ) is a specialized network designed to facilitate the transfer of large-scale scientific data. One of the key elements of the Science DMZ is perfSONAR, an active performance measurement device that monitors end-to-end paths over multiple domains. Although versatile, perfSONAR faces limitations such as restricted visibility of events and coarse-grained measurements. This paper proposes a scheme that integrates P4 programmable data plane (PDP) switches with perfSONAR. P4 PDP switches are passively installed and operate on real-time traffic copies, providing flexibility to collect fine-grained custom measurements and report events in the data plane. This integration enables …

Unified Hybrid Censoring Samples From Power Pratibha Distribution And Its Applications, Mahmoud Mansour, Hebatalla H. Mohammad Dr, Khalaf S. Sultan Prof.

Basic Science Engineering

This paper suggests an extensive inferential method for the Power Pratibha Distribution (PPD) under Unified Hybrid Censoring Schemes (UHCSs), since there is a growing interest in flexible models in both reliability and service operations. This work studies the PPD model using standard Maximum Likelihood Estimation methods and modern Bayesian approaches too. Using a complex architecture, UHCS simulates tests more closely to what is done in practice than by using more basic censoring schemes. Using analysis, the probability and statistical ranges are carefully calculated for the parameters. Tests demonstrate that Bayesian estimation gives better results than many other methods for estimation, …

Exploring Sub-Protocols For Spectrum Cooperation And Transparency, Ashton Palacios

Theses and Dissertations

With the proliferation of terrestrial and space-based wireless radio frequency transmitters and receivers in recent years, there is a greater need for spectrum cooperation and transparency. Spectrum is a limited resource that is shared between all wireless devices, both active and passive. The spectrum needs of today and tomorrow demand new techniques to enable cooperation and device transparency. This dissertation explores an innovative field, wireless sub-protocols, that provides novel software solutions for spectrum cooperation and transparency. The first application is radio astronomy. Radio astronomy deploys highly sensitive, passive RF receivers to capture faint signals from distant celestial bodies. Because passive …

Edge-Streamer: A Lightweight, Self-Supervised Event Segmentation Model, Lucas Miller

USF Tampa Graduate Theses and Dissertations

Event segmentation is the practice of autonomously detecting the boundaries of semantically connected sequences of actions within a video. It is connected to many areas of computer vision, including action recognition and event understanding. Nearly all current work requires the entire video to be stored in memory to be processed in multiple passes. This takes up valuable resources, increases processing time, prevents the use of low-power, low-memory devices, and precludes long-form content and live videos from undergoing event segmentation.

This thesis introduces EDGE-STREAMER, a real-time, lightweight, self-supervised, transformer architecture capable of performing event segmentation in a single pass. EDGE-STREAMER uses …

Design For Additive Manufacturing: Simultaneous Optimization Of Structural Integrity And Minimal Support Structures, Naresh Ahuja

Doctoral Dissertations and Master's Theses

This dissertation addresses two core challenges limiting the widespread application of Topology Optimization (TO): the difficulty in fabricating its complex designs, especially for Additive Manufacturing (AM), and its significant computational costs. It develops a unified design framework that directly embeds AM constraints such as overhang angles and build direction into robust TO formulations. To enhance manufacturability, two distinct methodologies are proposed. Firstly, a Solid Isotropic Material with Penalization (SIMP) framework introduces a three-stage robust optimization algorithm. Secondly, the Geometric Projection Topology Optimization (GPTO) method inherently integrates overhang constraints by controlling individual geometric components and their inclined angles relative to a …

Magnetic Field Enabled Assembly And Propulsion Of Colloidal Particles In A Magnetic Medium, Hashir M. Gauri

LSU Doctoral Dissertations

Colloidal particles are nano/micro meter-sized particles dispersed in a fluid medium and serve as diverse building blocks for assembling complex structures. The ease of tunability of the shape, size, and interparticle interactions of colloidal particles facilitates their assembly into rich structures and phases that mirror the assembly process of atomic systems. Often regarded as "big atoms" colloidal particles provide an ideal model system for investigating complex phenomena in condensed matter, such as crystallization and nucleation. While the assembly of colloids under thermodynamic equilibrium has been extensively studied, recent interest has shifted toward exploring colloids in non-equilibrium conditions to create dynamic …

Tripping The Telematic Fantastic: Adventures In Presenting Telematic Musicing At In-Person Conferences In 2024, Tom Zlabinger

Journal of Network Music and Arts

This article documents my challenges, successes, and what I learned while demonstrating what I describe as telematic musicing at six academic conferences in the U.S., Scotland, Finland, and Lithuania in 2024. Through personal narrative, autoethnography, and audience reactions, I share observations and conclusions I drew as a result of demoing telematic musicing to different audiences. I outline the technological and attitudinal challenges I encountered at the conferences and assess whether I was able to resolve them. I also discuss the need to strike and maintain a balance between hardware, software, and what Peter Neumann calls “peopleware.” Finally, I reflect on …

Transmission: Works Of Sarah Rose Weaver And Collaborations (2022–2024), Sarah Rose Weaver

Journal of Network Music and Arts

The Transmission Series took place between 2022 and 2024, primarily in a virtual network music setting. The series consists of my compositions and collaborations for solo, chamber, and large ensemble performance, building on my works and essays since 1998 that engage in-person, hybrid, and virtual spaces. This essay details the artistic and technological strategies employed in the Transmission Series, including audio, video, and score excerpts. The technologies discussed include networked audio and video, along with streaming and recording methods. The works featured in the discussion are “Transcendence Transmission” (2022) for large ensemble, “Sub Way” (2022) for chamber ensemble, “Here Mirror” …

Reconceptualizing The Organ Through Networked Spaces: Interviews With Participants Of The 2023 Global Hyperorgan Concert, Daniil Pilchen, Rebekah Wilson

Journal of Network Music and Arts

This paper examines the Global Hyperorgan concert held at the 16th annual Orgelpark Symposium in Amsterdam, Netherlands, in June 2023. The Symposium aims to reimagine the historically significant yet underused pipe organs. As part of meeting this aim, the concert featured performances linking Amsterdam and Vancouver using the Global Hyperorgan, a system that connects pipe organs via network technology. Interviews were conducted with the participating musicians to explore their experiences with this musical platform. Three key themes of primary interest to these musicians are revealed: alternative control interfaces, space and acoustics, and latency as a creative tool that drives innovations …

Traces Of Presence: Remembering Daniel Pinheiro, Billy Clark

Journal of Network Music and Arts

A tribute article in memory of artist Daniel Pinheiro (1982–2025).

The Zone: Hyperintimacy In Telemersive Performance, Benjamin Burger, Patrick Muller, Joel De Giovanni, Martin Frölich, Eric Larrieux, Hannah Walter

Journal of Network Music and Arts

This article explores how immersive technologies can create intimate connections between physically separated people through the telematic performance titled The Zone. The project links two stage spaces—one for a performer and one for an audience member—using advanced technologies including volumetric video, 3D scanning, spatial audio, motion capture, and augmented reality. Developed at the Institute of Computer Music and Sound Technology at the Zurich University of the Arts, these Extended Reality (XR) tools enable what we call hyperintimacy—an enhanced form of connection that transcends physical distance through immersive telepresence. Despite the artificial technological context, participants experience genuine encounters that balance digital …

Mediating The Exquisite: Aesthetic Affordances Of The Network Arts, Seth Adams

Journal of Network Music and Arts

This paper argues that the Network Arts afford uniquely nuanced aesthetic interactions among humans and between humans and machines. After defining these moments under a new concept I call exquisite musicking, I investigate how distributed networks of human and nonhuman actors create experiences that challenge or complicate traditional notions of agency, ensemble, aesthetics, and synchrony. Using Actor-Network Theory as a lens of inquiry, I explore the exquisite affordances of network-based musicking, discussing how pitch, timbre, and texture are co-created in networked performances. I also examine how exquisite musicking could serve as a fruitful concept in music education, particularly in pedagogical …

Editorial, Sarah Rose Weaver

Journal of Network Music and Arts

No abstract provided.

Implementing A 5-Dimensional Tabulated Conditional Moment Closure Model With Scalar Dissipation Rate For Scramjet Combustion, Alp Tuztas, Scott Montgomery Martin, Carlos A. Velez

Discovery Day - Daytona Beach

The growing interest in Scramjets for achieving sustained hypersonic flight has given rise to numerous computational models to obtain solutions as close as possible to experimental data, assisting with making the design process of modern Scramjet’s with different propellants and cavity designs less costly. However, Scramjet engines pose significant challenges for computational modelling due to the need of accounting for large- and small-scale turbulences but also solving turbulence chemistry interactions in compressible flow regimes. A promising approach has been through using high-fidelity turbulence-combustion models which greatly assist with capturing detailed chemistry, account for small scale turbulence and the complex flow …

Visionarium, July 2025, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Enhancing Art History Education With Ai: Accessibility, Engagement, And Skill Development, Analisa Soverns-Reed

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

The integration of Artificial Intelligence (AI) in the art history classroom offers transformative opportunities for students through accessibility, engagement, and skill development. This paper explores how AI can democratize access to art history education by providing cost-effective tools that eliminate traditional barriers, such as expensive textbooks, inaccessible archives, or costly field trips. AI-powered platforms like visual recognition software and adaptive learning tools enable students to engage with material more deeply, allowing for personalized learning pathways and interactive explorations of art and its contexts. Beyond content delivery, incorporating AI fosters critical digital literacy, equipping students with the skills to navigate and …

Painting With Ai: Enhancing Creativity And Understanding In The Arts Classroom, Erica Blum

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

In the context of contemporary art and design education, the rapid advancement of generative artificial intelligence has introduced profound shifts in both creative practice and pedagogical responsibility. Art and design professors now encounter students who approach AIdriven tools with a mixture of skepticism and curiosity, often perceiving such technologies as antithetical to authentic artistic development or as expedient alternatives to disciplined practice. This article articulates an instructional approach that leverages Adobe Photoshop’s generative capabilities—specifically neural filters, generative fill, and the manipulation of alpha channels— to position artificial intelligence as a collaborative, rather than substitutive, element within digital art-making. The 2025 …

Bridging Tradition And Technology: Ai As A Catalyst For Heritage Preservation And Humanities Research, Kholoud Ghaith

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

It is an empirical study examining how AI can be the driving force for cultural heritage and humanities conservation. As the AI tools that digitize, analyze, and conserve cultural resources have become in recent years, they have led to digital transformations in machine learning, digital twinning, and natural language processing. These technologies answer the industry's most challenging problems, such as the loss of historical material, access restrictions to heritage sites, and the labor-intensive nature of traditional conservation techniques. In implementing AI in heritage, institutions can document more accurately, keep records predictively, and offer more interesting public experiences via rich digital …

Writing As Curation: Empowering Authorial Agency In Ai-Assisted Composition Through Style Prompting And Quotation Glosses, Daniel Plate

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

As artificial intelligence writing tools become increasingly prevalent in educational settings, students often report feeling alienated from AI-generated content, describing it as lacking their "authentic voice." This article presents a pedagogical approach that addresses this challenge by repositioning students as curators of their authorial identities rather than passive consumers of AI-generated text. Through a dual curation methodology combining quotation glosses with style prompting, students develop multiple authorial voices for different rhetorical situations while maintaining agency over their writing process. The approach builds on classical rhetorical traditions while leveraging contemporary AI capabilities, creating a framework where students collaborate with AI tools …

Ai-Powered Storytelling And Interactive Timelines For Arts And Humanities Education, Bhavya Raoulji

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

The integration of artificial intelligence (AI) in education has opened avenues for transformative teaching and learning experiences, particularly in the arts and humanities. This submission explores the development of two AI-driven classroom tools: Chabot and interactive timelines. These tools immerse students in storytelling and historical exploration, fostering critical thinking, creativity, and interdisciplinary collaboration. The Chabot simulates conversations with historical figures or cultural narrators, providing AI-generated responses enriched with contextual details and multimedia content. The interactive timeline offers dynamic visualizations of historical events, enhanced by AI-generated summaries, audio clips, and visual aids. These tools integrate project-based learning methodologies, promoting critical thinking, …

Forward: Special Issue - Future Of Ai In Arts And Humanities Education, James Hutson

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

A link to a video of Dr. Hutson's Symposium introduction can be found below in the Additional Files section.

Enhanced Scratch Resistance Of Graphite Coating Using A Polydopamine Adhesive Underlayer, Adedoyin Abe, Min Zou

Mechanical Engineering Faculty Publications and Presentations

Graphite has great potential as a solid lubricant due to its low friction properties, but its poor adhesion to metal substrates limits its durability unless modified. This study explores the use of polydopamine (PDA), a bioinspired adhesive polymer, as an underlayer to enhance the adhesion and scratch resistance of graphite coatings applied to stainless steel (SS) substrates. Progressive load scratch tests were performed using a stainless steel ball counterface under normal loads ranging from 0.5 to 18 N. The PDA-modified coatings demonstrated significantly improved adhesion and durability, withstanding contact pressures up to 1.6 GPa without delamination or failure. In contrast, …