Digital Commons Network^™

Developing A Protocol To Obtain Source Directivity Of Hydroacoustic Transducers In A Water Tank, Benjamin White

Undergraduate Honors Theses

This thesis describes the formulation and application of a methodology designed to obtain source directivity of hydroacoustic transducers in the BYU Underwater Acoustics Laboratory. Piezoelectric transducers are presented, and common methodologies to measure their directivity are reviewed. The schematics of the BYU Underwater Acoustics Lab are explained, including the use of positioning robots to position the source-receiver pair in the measurement chain. The protocol is divided into different configurations comprising various source-receiver orientations. The processes of time gating, calculation of OASPL, and plotting onto directional axes are described. The protocol is tested across four different alternative configurations, including one method …

Measurement-Aware Zero-Phase Iterative Learning Control For Robust Regulation Of Nonideal Boost Converters In Electric Vehicle Fast Charging, Aytaç Altan, Mohammed S. Alzaidi, Cağfer Yanarateş

Turkish Journal of Electrical Engineering and Computer Sciences

Integrating battery energy storage with DC-DC boost converters for electric vehicle fast charging exposes the regulator to ageing-induced parameter drift, periodic load pulses, and, critically, the nonidealities in the output-voltage sensing chain. This paper proposes a measurement-aware, zero-phase iterative learning control scheme for robust output-voltage regulation of a nonideal boost converter whose parameters are matched to those of a commercial Texas Instruments TPS6102x battery regulator. The controller combines an inner proportional-integral stabilizing loop with an outer zero-phase learning law that updates a feedforward correction based on the sensor-captured output trajectory; a forward-backward robustness filter suppresses the amplification of measurement noise …

Artificial Intelligence Use Disclosure Student Rubric, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Disclosure Student Log, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Guidelines, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

A Binary Multiobjective Hippopotamus Optimization Algorithm For Feature Selection In Phishing Website Detection, Fatima Belmessaoud, Sofiane Maza, Djaafar Zouache

Turkish Journal of Electrical Engineering and Computer Sciences

Phishing website detection remains a major challenge in cybersecurity as attackers continuously develop new techniques to deceive users. Identifying the most informative features from large datasets is essential to improve classification accuracy while reducing computational complexity. Feature selection is therefore widely addressed using metaheuristic optimization techniques due to their flexibility and global search capability. In this study, we propose a Binary Multiobjective Hippopotamus Optimization Algorithm (B-MOHOA) for feature selection in phishing website detection. The proposed method simultaneously optimizes two conflicting objectives: maximizing classification accuracy and minimizing the number of selected features. Unlike many existing studies that mainly focus on transfer …

Range–Angle-Dependent Oam Beamforming With A Concentric Helical Circular Fda, Uğur Yeşi̇lyurt

Turkish Journal of Electrical Engineering and Computer Sciences

Secure and spatially selective wireless transmission requires orbital angular momentum (OAM) beams that are confined to a specific range and angle, rather than propagating indefinitely along the beam axis. In this paper, a concentric helical circular frequency diverse array (CHCFDA) is proposed to generate range–angle-dependent OAM beams without requiring external phase shifters. The helical element positioning inherently provides the necessary interelement phase distribution through physical step height, while logarithmically increasing frequency offsets are applied across concentric rings—and optionally across individual elements—to eliminate range periodicity and achieve a single, well-focused OAM beam exclusively at the target location. Both linear and logarithmic …

Midweek Memo, Georgia Southern University

Midweek Memo

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The Current - Volume 37 Issue 02, Nova Southeastern University

Student Newspapers

No abstract provided.

Innovating Effective Engineering Designs For Hazard Risk Reduction In North Carolina, Daniella Hirschfeld

Funded Research Records

No abstract provided.

Cedar: Investigating The Mesosphere And Lower Thermosphere Neutral Temperature And Winds Responses To Geomagnetic Storms Equatorward Of The Auroral Zone, Tao Yuan

Funded Research Records

No abstract provided.

"Florence Wesleyan University: 1855-1872", William Lindsey Mcdonald

Research Articles

A paper presented by William Lindsey McDonald, Conference Historian, at the North Alabama Conference for the United Methodist Church about Florence Wesleyan University, one of the earliest predecessors of the University of North Alabama. Prior to discussing Florence Wesleyan University, the paper also discusses the history of the earliest iteration of the university LaGrange College.

"The Course Of The Tennessee River", William Lindsey Mcdonald

Research Articles

The article describes the usual course of the Tennessee River and various geological theories for the direction of its course. In addition, it explores the specific geomorphology of the Muscle Shoals and its impact on North Alabama.

"Dr. E. B. Norton", William Lindsey Mcdonald

Research Articles

The article offers a brief biography of Dr. E.B. Norton president of Florence State Teachers College, a precursor to the University of North Alabama.

Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra

Doctoral Theses

With the exponential growth of complex data across domains, effective visualization has become increasingly crucial for understanding relationships hidden within high-dimensional spaces. However, existing visualization techniques often struggle to effectively capture and represent such high-dimensional data. Motivated by this challenge, we have developed NeuroDAVIS, a neural network model designed to visualize high-dimensional data by extracting meaningful latent representations through deep feature extraction. While NeuroDAVIS has successfully addressed the visualization aspect, we have soon recognized the necessity of identifying the most relevant features that contribute to the visualization and downstream analysis. To address this issue, we have extended our framework and …

Degree Assortativity And Estimation Of Degree Distribution In A Contact Network Of People Who Inject Drugs, Peter Geissert

Dissertations and Theses

This dissertation analyzes data from a respondent driven sampling (RDS) study of people who inject drugs in Portland, OR.  The objective was to assess assumptions for the use of weighted estimators to estimate a population physical contact (syringe sharing) network degree distribution.

Visualization of degree distribution for social and physical networks, Kolmogorov-Smirnov tests of difference, and kernel tests of equivalence were used for comparison of distributions. Spearman's rho and GAM non-parametric regression models were used to test for association and assess non-monotonic relationship. The validity of Markov chain assumptions for RDS was assessed using a transition matrix, Markov chain graphs, …

Development Of Tpack-Based Learning Book To Improve Learning Outcomes Of Third Grade Students Of State Elementary School 16 Banda Aceh, Nurul Zikri Filina, Siti Mayang Sari, Zahraini Zahraini, Jiyeon Na

Jurnal Pendidikan Humaniora

This research aims to develop a TPACK-based Basic Science learning book as an effort to improve the learning outcomes of class III students at State Elementary School 16 Banda Aceh. This research is a type of research and development (R&D), using the ADDIE method (Analysis, Design, Development, Implementation, Evaluation). The research results prove that the TPACK-based Basic Science learning book is suitable for use with media expert validation results in the very good category (93%), material expert validation in the very good category (94%), language experts showing the very good category (90%). The TPACK-based Basic Science Book can improve the …

Enhancing Learning Outcomes Through The Utilization Of Digital Comics, Sri Mastiah, Rita Novita, Mulia Putra, Syarfuni Syarfuni, Jonni Sitorus, Xiu Wen Tay

Jurnal Pendidikan Humaniora

Student completeness in learning mathematics is still low and interest in learning is relatively low, because the learning media is less varied and less interesting, and there are still students who have not achieved learning outcomes above the minimum completeness criteria. The purpose of this study was to analyze the use of digital comics in improving mathematics learning outcomes. The research approach used is qualitative and the type of research used is a literature study or literature review. The stages used in this literature study research design include the focus of scientific articles, data collection, data analysis, and conclusions. Based …

Uae Audiences' Reliance On Social Media As A Source Of Information On Complementary And Alternative Medicine: A Study Of Al Ain City Residents Based On Media System Dependency Theory, Abdul Rahman Al-Toum, Mohammed Al-Kaabi, Najoud Al-Mansouri, Ahmed Bin Ishaq, Amer Khaled Ahmad, Maram Manajrah

Middle East Journal of Communication Studies

This study examined the extent to which UAE audiences rely on social media as a source of information on complementary and alternative medicine (CAM) and the resulting effects of this reliance. Grounded in Media System Dependency Theory, the study employed an audience survey using a questionnaire administered to a sample of (132) Emirati citizens in Al Ain. The findings revealed that the combined medium and high reliance reached (53%). Regarding the effects, cognitive effects recorded the highest arithmetic means, followed by affective and behavioral effects at comparable levels. Hypothesis testing showed no statistically significant differences in the degree of reliance …

Looming Between Shaft Looms And A Tc2 Jacquard Loom - A Serendipitous Expedition With Live Weaving, Pei-Ying Lin, Alex Mclean, Helen Milne, Femke Vorselen, Kristina Andersen

Textile Intersections Conference Series

This paper describes an artistic exploration of the potential for more lively engagements with a TC2 digital Jacquard loom. We listened to the loom to enable control of every warp thread in real time, allowing live manipulation of the patterns. This exposed us to the cognitive challenge of designing live for 2 to the power of 1320 warp possibilities. To address this, we made a customised TC2 control software interface, LOOMIMG, that implements traditional shaft loom logic as a digital, interactive weaving draft. Our tests with two experienced weavers suggest that this facilitates not only a creative space that is …

Textile Intersections 2026: Material Intelligence Exhibition Catalogue, Afroditi Psarra, Liza Stark, Sasha De Koninck, Larissa Kunstel-Tabet, Katharina Sand

Textile Intersections Conference Series

Catalogue of the Textile Intersections 2026 exhibition, Material Intelligence, presenting textile design research that explores intelligence through material behaviour, textile structures, more-than-human agency, material cycles, computation, craft and material commons.

Pahdf: A Privacy-Aware Hybrid Detection Framework With Class-Aware Weighted Stacking Ensemble (Cawse) For Fake Instagram Account Detection, Sura Jasim Mohammed, Safa Saad Abbas, Suhad Hatem Jihad

Journal of Intelligent Informatics, Networking, and Cybersecurity

The rapid growth of social media platforms has intensified concerns regarding online privacy, data security, and fraudulent activities that driven by fake accounts. This paper proposes a Privacy-Aware Hybrid Detection Framework (PAHDF) to detect Instagram fake account that integrates privacy preservation with high-performance machine learning. Unlike existing approaches that treat privacy and detection as separated objectives, therefore, the proposed framework jointly addresses both objectives by relying exclusively on publicly available, low-sensitivity profile metadata. PAHDF combines a deep learning model for latent feature representation with a Random Forest classifier for behavioural pattern learning through a Class-Aware Weighted Stacking Ensemble (CAWSE), where …

From Detection To Segmentation: Adapting Yolo26 For Surface Crack Delineation, Mohammed Al-Mustafa, Israa H. Ali

Journal of Intelligent Informatics, Networking, and Cybersecurity

Surface crack delineation plays an important role in infrastructure inspection because accurate pixel-level mapping of cracks can support condition assessment, maintenance planning, and automated monitoring of roads and other civil surfaces. However, recent crack segmentation methods often depend on heavy network designs or prompt-based foundation models. It also remains unclear how a lightweight detection-oriented model behaves across different data organizations and unseen images. This study therefore investigates whether YOLO26m-seg, the medium segmentation variant of the recent YOLO26 family, can be adapted into an effective and practical pipeline for surface crack delineation. The proposed workflow has four main steps. First, binary …

Simotang Oral Liquid Alleviates Functional Dyspepsia-Related Motility Dysfunction Through Ca²⁺-Dependent Smooth Muscle Contraction And Nrf2/Nf-Κb Modulation, Guo Mao, Chunxiang He, Jiaqin Liu, Dahua Wu, Puhua Zeng, Ye Mao

Journal of Food and Drug Analysis

Functional dyspepsia (FD) is a disorder of gut-brain interaction involving heterogeneous motor, sensory, immune, and oxidative stress-related mechanisms. Simotang oral liquid (SMT), a traditional Chinese medicine formulation used for dyspeptic and gastrointestinal motility-related symptoms, has not been evaluated with an integrated clinical, functional, and molecular framework. This single-arm prospective pre-post study assessed gastric emptying by the 13C-octanoic acid breath test, gastric electrical activity by electrogastrography, postprandial tolerance by nutrient drink testing, symptom scores, serum biomarkers, and gastric antral tissue markers in patients with FD. FD-like mice were used for charcoal meal transit, smooth muscle strip tension, calcium channel blockade, and …

Local Ramp Metering Strategies: Recommendation For Implementation Ramp Metering In Baghdad, Iraq, Ali S. Saleh, Ali E. Jehad

Engineering and Technology Journal

Ramp metering is one of the most widely used traffic management practices to alleviate congestion on freeways. Although the use of such algorithms has proven effective in developed transportation systems, this adaptation and installation of suitable ramp metering algorithms can still be a problem in developing countries, especially when traffic characteristics, data availability and institutional capacity differ greatly from the developed ones. This paper is a systematic review of local responsive ramp metering strategies covering more than ninety publications from 1991-2026. The review identifies four categories of strategies: threshold-based, feedback-based (such as ALINEA and its variations), optimization-based and AI-based. The …

Analysis Of The Influence Of Anthropometric Dimensions Of Postural Ergonomics Using Multiple Linear Regression, Gashbeen Faisal Najmaddin, Edrees Muhammed Tahir Harki

Al-Bahir

Ergonomics is the study of designing and arranging a workspace or product to optimize the “fit” between people and their work, ensuring safety, comfort, and efficiency. The scientific literature indicates that ergonomic perspectives on the workplace are connected to the anthropometrics of societies. This study primarily aims to create a model that integrates multiple predictive variables to estimate the target variable. Multiple linear regression analysis is used to identify how different anthropometric dimensions predict postural ergonomics during prolonged sitting. Based on the regression models’ results, the predicted can be calculated using user anthropometry and existing chair dimensions. Furthermore, the primary …

Can Artificial Seagrass Meadows Reduce Pathogenic Bacteria In Coral Reef Ecosystems- A Mesocosm Study, Hewa Pathirannahelage Athri Thathsarani Weerakoon, Jimmy Kuo, Pi-Jen Liu, Kwee Siong Tew

Journal of Marine Science and Technology–Taiwan

Seagrass meadows provide essential coastal ecosystem functions by stabilizing sediments, enhancing water quality, and shaping nutrient and microbial dynamics. With global seagrass losses accelerating due to climate change and anthropogenic pressures, artificial seagrass (ASG) has been proposed as a nature-based alternative to mimic these functions. However, its ability to replicate biological interactions, particularly microbial regulation and pathogen suppression, remains unclear. In this study, we conducted a six-week mesocosm experiment comparing natural Thalassia hemprichii and ASG within coral reef-associated habitats in southern Taiwan. Physicochemical parameters, sedimentation rates, nutrient concentrations, and planktonic and benthic bacterial communities were analyzed. Sedimentation rates and nutrient …

Evaluation Of Deep Learning Techniques For Intrusion Detection In Cybersecurity, Doaa El-Shahat, Mohamed Mahmoud Abdelaziz, Waseem Akram, Muhammad Jabir Khan

Sustainable Machine Intelligence Journal

The increasing prevalence of Internet of Things (IoT) technology is also leading to a rise in potential cybersecurity risks. Therefore, it has become crucial to develop effective solutions using deep learning to enable us to discover the various vulnerabilities that may arise from continuous technological advancements, and to defend against the different types of attacks that fraudsters might use to exploit system weaknesses, such as Distributed Denial of Service (DDoS) attacks, web attacks, and spoofing. Most model failures stem from their reliance solely on detecting spatial patterns and their failure to focus on detecting temporal patterns, resulting in poor performance …

Comparative Evaluation Of Robusta Coffee Fruit Skin And Bean Skin Nanoparticle Edible Films: Physicochemical, Antibacterial, Mucoadhesive, And Immunomodulatory Properties, I Dar. Dewanti, I Da. Susilawati, Didin E. Indahyani, Eri H. Jubhari

Journal of Dentomaxillofacial Science

Objective: This study aimed to compare the physicochemical characteristics, antibacterial activity, mucoadhesive strength, and immunomodulatory properties of edible films containing Robusta coffee fruit skin or bean skin nanoparticles for oral wound therapy.
Materials and Methods: Edible films containing 2% Robusta coffee fruit skin or bean skin nanoparticles were prepared using carbomer, kappa carrageenan, glycerin, stevia, and sodium benzoate. The physicochemical properties of the samples were evaluated by measuring pH, scanning electron microscopy, and organoleptic assessment. The antibacterial activity against Streptococcus mutans was determined using the colony-forming unit method. Mucoadhesive strength was measured using a texture analyzer, and immunomodulatory activity was …

Spatial Markov Equilibrium Models For Taxi Services: Driver Decision, Search Friction, And Locational Pricing, Yanchao Liu

Industrial and Systems Engineering Faculty Research Publications

This paper develops a modeling framework for stochastic multi-agent systems and applies it to equilibrium and pricing analysis in urban taxi markets. Travel demand is represented as a trip network and embedded in a Markov chain that captures both locational and in transit taxi states, with transition dynamics reflecting trip durations, search frictions, spatial competition, and drivers’ perceptions of long-term value. The framework features a parametric Markov chain with endogenous transition probabilities and a behavioral model in which agents’ decisions depend on anticipated long-term rewards. We establish equilibrium existence and examine two locational pricing schemes that align individual incentives with …