Digital Commons Network^™

Locations Of Outfalls In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly M. Kibler, Melinda J. Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_Outfalls_IRL_LWL.shp was created under grants from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL).

The dataset presented here includes the location of outfalls identified throughout the study region and general characteristics of the shoreline where they were identified.

Seagrass Persistence In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly Kibler, Melinda Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_seagrasspersistence_IRL_LWL.shp was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL). The dataset presented herein represents persistence of seagrass throughout waters of the IRL and LWL.

11.10.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Sherilyn Hulugalla winds Biosafety and Biosecurity Month Challenge

Framework And Methodology For Risk-Based Bridge And Tunnel Asset Management: Risk-Based Asset Ranking And Corridor Prioritization, David Y. Yang, Arash Khosravifar, Diane Moug, Avinash Unnikrishnan

Civil and Environmental Engineering Faculty Publications and Presentations

This report presents the results of Phase II of the project, "Framework and Methodology for Risk-based Bridge and Tunnel Asset Management". The research was carried out at Portland State University in collaboration with engineers and officials at the Oregon Department of Transportation (ODOT) and Federal Highway Administration (FHWA). Using the framework and methodology developed in Phase I of the project, the primary goal of Phase II is to showcase the practical application in risk-based asset management. In particular, the report includes the following two case studies: Case Study I — Weighted hazard scenarios for seismic risk assessment of Oregon Highway …

First-Principles Theory Of Five-And Six-Phonon Scattering, Yi Xia

Mechanical and Materials Engineering Faculty Publications and Presentations

igher-order phonon scatterings beyond fourth order remain largely unexplored despite their potential importance in strongly anharmonic materials at elevated temperatures. We develop a theoretical formalism for first-principles calculation of five- and six-phonon scatterings using Green’s function techniques based on a diagrammatic formalism, and systematically investigate multi-phonon interactions in Si, MgO, and BaO from room temperature to near melting points. Our calculations reveal dramatically different material-dependent behaviors: while five- and six-phonon processes remain negligible in Si even at high temperatures, they become increasingly important in MgO near its melting point (3100 K) and in BaO at intermediate temperatures (1200 K). Most …

Design And Implementation Of Home Energy Management System (Hems) In Smart Grid Through Demand Side Management (Dsm), Nirmala Jegadeesan Ms

Theses and Dissertations

The rising global energy demand, combined with environmental concerns and the depletion of conventional energy sources, has driven the need for the development of smarter and more sustainable energy systems. This research focuses on Home Energy Management System (HEMS) using soft computing techniques to optimize load scheduling, enhance energy efficiency, and integrate Renewable Energy Sources (RES) such as solar and battery storage. The primary goal is to balance supply and demand, reduce peak loads, and minimize energy costs while ensuring consumer comfort and system reliability.

Smart grids provide enhanced capabilities compared to conventional grids by enabling bidirectional flows of energy …

The Resonance Of Desire: A Sonic Exploration And Guide To Recreating Disney’S Signature ‘I Want’ Songs, Aiyanna E. Riley

Electronic Theses and Dissertations

This thesis explores the sonic architecture of Disney’s Renaissance-era “I Want” songs and develops a framework for recreating their signature production style. This study analyzes how vocal timbre, microphone choices, layering, stereo placement, and mixing strategies contribute to the immersive qualities that define the Disney sound. Drawing from historical accounts, interviews with industry professionals, and technical literature, the thesis documents production practices unexamined in scholarly work. Inspired by David Gibson’s The Art of Mixing, my analyses prioritize spatial and textural qualities in Disney mixes, highlighting how sound design shapes narrative impact. The study culminates in two original compositions modeled …

Modeling Synaptic Dysfunction As Neural Contagion: A Graph-Based Sedr Framework For Simulating Signal Spread, Michelle Marfo, Dr. Padmanabhan Seshaiyer, Alonso Ogueda-Oliva

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Social Isolation: A Data-Driven Index Function Design And Implementation, Jeremis N. Morales Morales, Carmen Caiseda, Phyllis Muniu, Joshua Atsu, Folashade B. Agusto

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Durability Performance Of Sustainable Fly Ash-Based Geopolymer Concrete Incorporating Waste Glass, El-Said Abdelsalam Maaty, Mariam Farouk Ghazy, Mohamed Gamal Eldmarny

Mansoura Engineering Journal

The cement and concrete industries contribute significantly to environmental degradation through high CO₂ emissions and extensive resource consumption. Cement manufacturing accounts for nearly 8% of global CO₂ emissions, primarily from limestone calcination, while raw material extraction leads to resource depletion and ecological disruption. Increasing attention is being directed toward the use of recycled glass as an eco-friendly substitute in geopolymer concrete, offering a sustainable solution to existing challenges. This study investigates the effectiveness of replacing fly ash with waste glass powder (WGP) at 0%, 10%, 20%, and 30%, and substituting natural sand with waste glass sand (WGS) at 0%, 15%, …

Predicting The Next Trending Hussaini Poems: A Machine Learning Approach Based On Textual And Engagement Features, Elaf Adel Abbas

AUIQ Technical Engineering Science

Hussaini’s poem videos have garnered substantial viewership on digital platforms; nevertheless, the determinants of why just a select number achieve “trending” status remain inadequately comprehended. This study presents a machine learning approach aimed at forecasting the trending potential of Hussaini poetry videos through the integration of text- and interaction-based variables. A dataset including 270 YouTube videos was generated, encompassing each video’s title and audience engagement parameters, including views, likes, comments, duration, and upload time. Textual attributes were converted using TF-IDF representations, whereas numerical attributes were standardized and amalgamated via a unified ColumnTransformer pipeline. Five machine learning classifiers—Naive Bayes, Logistic Regression, …

Neutrosophic Graded Jordan–Bialgebra Framework For Ai-Driven Analysis, Mona Gharib, Rana Muhammad Zulqarnain, Xiao Long Xin, Muhammad Gulistan, Muhammad Abid

Neutrosophic Systems with Applications

Modern Artificial Intelligence (AI) systems face significant challenges in processing and analyzing datasets characterized by high degrees of uncertainty, ambiguity, and indeterminacy, which are prevalent features in complex real-world scenarios. To address this limitation, this study introduces a novel neutrosophic graded Jordan–bialgebra framework. This framework strategically integrates the inherent structural properties of Jordan–Bialgebras with the advanced capability of Neutrosophic Graded Structures to simultaneously model degrees of truth, indeterminacy, and falsehood. The primary objective of this study is to establish a rigorous algebraic foundation that enables AI models to perform a more robust and comprehensive analysis of data containing incomplete or …

Comprehensive Risk Evaluation Framework For Reducing Errors In Critical Airport Systems, Arshad Hameed, Muhammad Umer Farooq

Neutrosophic Systems with Applications

Airports are intricate systems that are subject to a number of operational hazards that might impair safety and cause service interruptions. There is a dearth of thorough approaches designed specifically for airport operations, despite a wealth of research on risk management in several industries. In order to anticipate and prevent breakdowns in vital airport systems, we offer a thorough risk assessment approach that combines quantitative evaluation and human factor analysis. This study uses the decision-making methodology such as MARCOS method to rank the alternatives. The criteria weights are computed in this study. This study uses six criteria and 14 alternatives.

Integrated Neutrosophic Set For Assessing The Route Options In Overweight Complex Transportation Planning Scenarios, Muhammad Abid, Tayyaba Akhtar, Harshit Bhatt

Neutrosophic Systems with Applications

Due to improvements in lifting and transportation technology that enable the long-distance movement of heavy loads, overweight and oversized transport (O&OT) has emerged as one of the most important aspects of project logistics. This kind of transportation operation, also known as abnormal transportation, is heavily influenced by external variables like weather, traffic density, and legal regulations, as well as technical factors like the load’s weight and geometry, road surface, axle load limitations, slope, and ground strength. Decision-Makers (DMs) and practitioners who plan and carry out operations without giving these variables and factors enough thought may cause operational delays, significant hazards, …

Evaluating Solar Energy Challenges And Strategies To Overcome Challenges Under Neutrosophic Decision Making Methodology, Ahmed A El-Douh, Mina Samir Shenouda

Neutrosophic Systems with Applications

Because of its reliance on fossil fuels and fast population expansion, the nation confronts severe socioeconomic problems that can result in political instability, environmental damage, health issues, and economic instability. A switch to clean energy is now necessary as a result of these problems widening the gap between supply and demand for energy. To close this gap, photovoltaic (PV) technology holds great potential. In order to reduce bias and handle ambiguity while assessing solar energy (SE) issues and regulations, this study offers a decision-making process in a single valued neutrosophic set (SVNS) environment. The neutrosophic set is used to overcome …

Evaluation Of Integrating Smart Technologies Into Business Ecosystems Using Neutrosophic Uncertainty Model, Kainat Muniba, Muhammad Naveed Jafar, Adil Ahmad, Aruna Pavate

Neutrosophic Systems with Applications

This study proposes a methodological framework for Evaluation of Integrating Smart Technologies into Business Ecosystems. We use the decision-making process to deal with different criteria and alternatives. The decision-making process is used under the neutrosophic set to overcome uncertainty information. Neutrosophic set has three membership functions such as truth, indeterminacy, and falsity. These functions are used to overcome vague information. The average method is used to compute the criteria weights. The COBRA method is used to rank the alternatives based on different alternatives. This study uses 8 criteria and 15 alternatives to be evaluated to show the best option.

Hybrid Stol Aircraft Designed For Short Urban Operations, Toby Emch

Discovery Day - Daytona Beach

Modern aircraft transportation requires security checkpoints, large terminals, and expansive runways to move people. However, what if we could place an airport anywhere, reducing land area, noise, and cost? Our design takes advantage of distributed electric propulsion powered by a hybrid engine to take off and land a STOL transport aircraft in a short distance. Our design process includes calculation of constraints, lift calculation using a blown lift takeoff, and verification of stability coefficients. Using a high-lift wing design, the aircraft supports a battery and fuel weight while keeping the required thrust low. It supports up to 7 passengers and …

Asteroid Mining: The Next Big Thing Or A Gimmick?, Aashman Gupta

Discovery Day - Daytona Beach

Asteroid mining, a sci-fi concept that is rapidly emerging as a potential cornerstone for humanity's expansion into space. This paper explores the economic, technological, and legal challenges of asteroid mining, by examining its feasibility, potential benefits, and other challenges that could hinder its development. Some argue that mining asteroids could provide essential resources and reduce dependency on Earth leading to sustainable space colonization, but critical challenges still remain. Through a review and rational comparison of recent advancements and setbacks, this paper presents an analysis of the potential of asteroid mining; findings suggest that while asteroid mining holds significant potential for …

Boeing 787 Freighter Conversion: Structural Redesign And Enhanced Cargo Operation, Darien Lopez

Discovery Day - Daytona Beach

With the continued expansion of global supply chains, demand for airfreight is rapidly increasing. As older cargo aircraft approach the end of their service life, the Boeing 787 freighter variant emerges as an ideal candidate to address this growing market demand. To facilitate its conversion from passenger to freighter configuration, modifications included the addition of a cargo door and adjustments to the cabin floor, allowing for efficient cargo loading operations. The structural components, including stringers and longerons, were specifically sized and strategically positioned in both the cargo door section and throughout the rest of the fuselage to accommodate the anticipated …

Measurement Uncertainty, Barton L. Smith, Douglas R. Neal

Mechanical and Aerospace Engineering Textbooks

This text is based on the graduate Measurements course notes from BLS at Utah State University. It is intended as a textbook for graduate students in engineering or physics or as a reference text.

If one collects several texts on measurement uncertainty, it quickly becomes clear that the measurement uncertainty community lacks a consistent language or nomenclature. This can be confusing to a new reader who may view measurement uncertainty as a very old and settled topic. The lack of consensus on nomenclature likely stems from the lack of a clear winner–a paradigm and nomenclature set sufficiently superior to be …

Novel Electroactive Polymer Actuators Using All-Polyelectrolyte Poly(Ionic Liquid) Ionogels, Kayla Foley, Iwei Chu, Keisha B. Walters

Chemical Engineering Faculty Publications and Presentations

Poly(ionic liquid)-based ionogels are excellent all-poly(electrolyte) candidates for electroactive actuation applications, but investigation of their actuation behavior and ionogel properties has largely been limited to styrenic block copolymers. In this work, ionogels were prepared from a novel poly(ionic liquid) (PIL) block copolymer, poly[(2-dimethyl amino) ethyl methacrylate)]-block-poly[4-vinylbenzyl-3-butyl imidazolium bis(trifluoromethylsulfonyl)imide] (PDMAEMA-b-PVBBImTf(2)N) combined with an ionic liquid, 1-butyl-3-methyl imidazolium tetrafluoroborate (C(4)C(1)ImBF(4)), at weight percentages between 0 to 40 wt%. Under a low applied voltage (4 V DC) microscale actuation was achieved for films prepared from the neat PDMAEMA-b-PVBBImTf(2)N block copolymer, as well as its corresponding 10 wt% ionogel; this result critically expands the …

On The Derivation Of The Ungerboeck Observation Model For Offset Qpsk, Michael Rice

Faculty Publications

This report derives maximum likelihood sequence estimator for Offset QPSK (OQPSK) operating over frequency selective channel. The maximum likelihood sequence estimator takes the form of the Viterbi Algorithm operating on a trellis defined intersymbol interference caused by the frequency selective channel. Because the distorted pulse shape does not satisfy the Nyquist no-ISI criterion, the matched filter output samples contain correleted noise. The derivation uses Ungerboeck’s method to create a recursive causal metric suitable for use with the Viterbi Algorithm.

From The Editors, Rully Karim Dr.

Journal of Project Management & Construction

The Journal of Project Management and Construction (JPMC) is a peer-reviewed publication dedicated to advancing the field of project management and construction, grounded in the principles outlined in the PMBOK 6th Edition. Our focus encompasses the ten knowledge areas essential to successful project management: Integration, Scope, Schedule, Cost, Quality, Resource, Communications, Risk, Procurement, and Stakeholder Management.

JPMC publishes original research papers written in English that provide deeper insights into these knowledge areas and contribute to the development of best practices in project management and construction. Submissions may include theoretical analyses, computational models, experimental observations, or a combination of both theoretical …

Critical Success Factors Of Lean Construction Implementation To Improve Construction Project Efficiency In Indonesia, Onal Putra, Rossy Armyn Machfudiyanto

Journal of Project Management & Construction

Inefficiency is still a problem in the construction industry in Indonesia and in the world. Inefficiency leads to delayed deadlines, budget overruns, and inappropriate quality. It is caused by a lot of waste in the form of activities that use resources but do not produce the expected value. Lean construction is one approach to address this problem by eliminating waste and maximizing value for users or customers. This research aims to identify and determine the critical success factors that most influence the implementation of lean construction to improve the efficiency of construction projects in Indonesia as well as the development …

Development Of Knowledge Base Of Audit Process In High-Rise Building Works With Design-Build Contract Based On Iso 19011:2018 And Regulation Of The Minister Of Public Works And Housing No. 10 Of 2021, Zafira Alysha Fadli, Danang Budi Nugroho

Journal of Project Management & Construction

In achieving the long-term development goal of Advanced Indonesia, the Government continues to accelerate the completion of infrastructure development, such as strategic and priority projects that support economic transformation. Infrastructure development is still one of the main focuses of the Indonesian government, the 2024 state revenue and expenditure budget (APBN) is allocated to the infrastructure budget. The massive construction of high-rise buildings in Indonesia, the number of accidents is getting higher, so it is necessary to implement an audit process on construction work. The audit process is to know and monitor directly the procedures that have been applied optimally. Therefore, …

Dam Construction Project Planning: A Case Study Of Watershed Management In Poncol District, Fikrian Fajar Muhammad, Audy Christian Rayvano Kalalo

Journal of Project Management & Construction

Despite the rapid growth of infrastructure development in Indonesia, water resource management remains a major concern, especially in regions with high climate variability like Poncol District. This study aimed to identify and analyze the Watershed (DAS) in Poncol District, East Java, using a comprehensive approach integrating GIS technology and hydrology software. The Poncol watershed, covering 19,637 km², was mapped using DEMNAS maps and analyzed with flow direction and flow accumulation. Hydrological analysis via WinTR-20 included verification, sub-area identification, cross-sectional analysis, and storm analysis. Calibration results showed consistency between manual and digital methods, while land use analysis revealed significant impacts on …

Development Of Work Breakdown Structure (Wbs) Dictionary And Checklist Integrated With Building Information Modelling (Bim) On Concrete Bridge’S Care And Maintenance Work To Improve Maintenance Performance, Dina Benua Lalitya, Yusuf Latief

Journal of Project Management & Construction

According to The Ministry of Public Works and Public Housing of Republic of Indonesia (Kementerian PUPR), there was a significant decrease in national bridge condition in year 2021 compared to year 2018. One of the crucial factors that led to the collapse of the bridge was the lack of bridge management and maintenance to ensure the bridge’s serviceability. To cope with this condition, the solution needed is to carry out effective, efficient, and economical care and maintenance works. In bridge’s care and maintenance works, good project management can be improved with Work Breakdown Structure (WBS) and the use of integrated …

Wildfire Impact Analysis On Power System Operation: A Framework Leveraging Physics-Based Wildfire Simulation And Dynamic Line Rating, Saeed Nematshahi, Behrouz Sohrabi, Amin Khodaei, Ali Arabnya, Rui Fan

Electrical and Computer Engineering: Faculty Scholarship

The growing frequency and intensity of wildfires is significantly impacting power grid operations. Specifically, wildfires spreading to power lines can induce thermal stress, leading to a restriction in line capacity. This reduction imposes a challenge for electric utilities as they must supply electric demand while experiencing reduced transmission capacity. This paper introduces a model that simulates wildfire behavior in proximity to a transmission line, evaluates the impact on conductor temperature and capacity constraints, and subsequently analyzes the impact on grid operation from economic and reliability perspectives. The numerical studies conducted on the IEEE 14-bus test system assess both economic and …

Semiconductors & Microelectronics In Middle School Technology & Engineering: Integrating Emerging Stem Workforce Contexts Into The Classroom, Greg J. Strimel, Deana Lucas, Yubin Lee, Victoria Constantine, Tamara J. Moore, Morgan Hynes, Selcen Guzey

School of Engineering Technology Faculty Publications

This case study explores the integration of microelectronics contexts and content into middle school classrooms as part of a workforce development initiative intended to address national labor force needs arising from increased investments in the semiconductor industry. The study follows four middle school technology and engineering teachers as they develop, implement, and refine an instructional unit designed to introduce students to microelectronics production and semiconductor-related careers. Through classroom observations and iterative curriculum development, this exploratory case study reviewed how emerging STEM workforce contexts, such as semiconductors and microelectronics, can be integrated into middle school instruction. The results provide a practical …

Great Lakes Water Levels: Curve Fitting, Statistics, And The Unacceptable-Value Statistical Approach, Brian Barkdoll

Michigan Tech Publications

Water levels in the Great Lakes fluctuate over time. Excessively high levels can cause flooding, erosion, property damage, and loss of human life. Excessively low values inhibit shipping since boats cannot reach the ports and docks due to low draft, thereby causing loss of economic resources. Water level prediction has proven elusive, thereby requiring a new approach to analyzing the historical record of water level values. Methods attempted here include curve fitting, conventional statistics, and a newly introduced Unacceptable-Value Statistical Approach (UVSA). The UVSA comprises only analyzing flooding and drought events. All remaining values are acceptable and, therefore, are not …