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Optimised Data Integration Using Transformer Model And Resource Description Framework, Jerome Aondongu Achir, Muhammad Abdulkarim, Mohammed Abdullahi Feb 2026

Optimised Data Integration Using Transformer Model And Resource Description Framework, Jerome Aondongu Achir, Muhammad Abdulkarim, Mohammed Abdullahi

Journal of Informatics and Web Engineering

Organizations have become highly reliant on a range of data sources that span structured, semi-structured, and unstructured data types. These repositories allow large-scale storage for faster ingestion and analytics but pose tremendous challenges of integration owing to schema and contextual differences. Traditional data integration methods, such as the ontology-based Resource Description Framework (RDF), are often inadequate when dealing with these challenges. They specifically struggle with the dynamic evolution of the schema of data sources, context-aware interpretation, and achieving interoperability across heterogeneous data sources. This paper presents an integrated system that augments resource description knowledge with token embeddings using the attention …

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Xai -Driven Explainability For Cardiovascular Diseases Prediction, Jacqueline Dike, Jarutas Andritsch Feb 2026

Xai -Driven Explainability For Cardiovascular Diseases Prediction, Jacqueline Dike, Jarutas Andritsch

Journal of Informatics and Web Engineering

The adoption of artificial intelligence (AI) in cardiovascular disease prediction has significantly improved risk stratification, offering new avenues for early diagnosis and preventive care. With the growing availability of electronic health records and structured clinical datasets, machine learning (ML) and deep learning (DL) models have demonstrated strong predictive capabilities. However, despite their performance, its adoption in healthcare is often constrained by the lack of transparency and interpretability in many ML and DL models. This lack of explainability undermines clinical trust and raises ethical concerns. In high-stakes domains such as CVD prediction, clinicians require not only accurate outputs but also clear …

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Sentiment-Based Music Recommendation System Using Natural Language Processing For Emotion-Aware Song Suggestions, Yu Bui Xuan, S. Prabha Kumaresan, Naveen Palanichamy, Mohamed Uvaze Ahamed Ayoobkhan Feb 2026

Sentiment-Based Music Recommendation System Using Natural Language Processing For Emotion-Aware Song Suggestions, Yu Bui Xuan, S. Prabha Kumaresan, Naveen Palanichamy, Mohamed Uvaze Ahamed Ayoobkhan

Journal of Informatics and Web Engineering

Music plays a vital role in influencing emotions, mood, and mental health. However, classical music recommendation systems mostly rely on listening to history, genre preference, or popularity, ignoring the listener’s mood. Motivation to go further in this area gave birth to this study, where a new sentiment-based music recommendation system is being designed by incorporating Natural Language Processing (NLP) and Machine Learning (ML) techniques to provide emotion-aware song recommendations. The system collects various audio features such as valence, energy, tempo, and danceability from music distribution platforms such as Spotify, which are well-known indicators for classifying the emotional tone of a …

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A Unified Cloud-Based System For The Tyre Retail Industry: Design And Implementation Of Tracktive, William Theo Wei Loon, Siew-Chin Chong, Kian-Ming Lim, Lee-Ying Chong, Kuok-Kwee Wee Feb 2026

A Unified Cloud-Based System For The Tyre Retail Industry: Design And Implementation Of Tracktive, William Theo Wei Loon, Siew-Chin Chong, Kian-Ming Lim, Lee-Ying Chong, Kuok-Kwee Wee

Journal of Informatics and Web Engineering

In the Malaysian concurrent tyre retailing industry, most of the business activities are carried out in the traditional labour-intensive ways. This manual process is prone to inefficiencies, increases operating costs and increases the likelihood of error. The current paper outlines Tracktive, a unified and cloud-based solution that was conceptualized and built to automate the industry by centralizing the ordering of tyres, inventory and order management to a single cloud-based platform. Tracktive is built on microservice architecture and event-driven architecture and deployed with the help of a simulated cloud environment. All the core functional modules are independent, scalable modules, each having …

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Enhancing Fraud Detection In Financial Transactions Using Lightgbm And Random Forest, Wan-Ping Khor, Kah-Ong Michael Goh, Check-Yee Law, Connie Tee, Yong-Wee Sek, Riasat Khan Feb 2026

Enhancing Fraud Detection In Financial Transactions Using Lightgbm And Random Forest, Wan-Ping Khor, Kah-Ong Michael Goh, Check-Yee Law, Connie Tee, Yong-Wee Sek, Riasat Khan

Journal of Informatics and Web Engineering

In recent years, the frequency and complexity of financial fraud have been rising and have become an urgent challenge for the global financial system. Traditional rule-based detection methods struggle to cope with new types of fraud, especially in terms of real-time detection, generalization ability, and accuracy. To overcome these limitations, machine learning techniques have gradually emerged as a promising solution for identifying fraudulent transactions with better flexibility and scalability. Based on the publicly available European credit card fraud transaction dataset, this study proposes a hybrid model that combines the advantages of LightGBM and Random Forest, aiming to improve the accuracy, …

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Real-Time Posture Monitoring For Effective Exercise Using Mediapipe Python, Wan Izzul Wafiq Wan Noor Asmawi, S. Prabha Kumaresan Feb 2026

Real-Time Posture Monitoring For Effective Exercise Using Mediapipe Python, Wan Izzul Wafiq Wan Noor Asmawi, S. Prabha Kumaresan

Journal of Informatics and Web Engineering

Maintaining proper posture during exercise is crucial for preventing injuries and maximizing workout efficiency. This project aims to develop a real-time posture monitoring system using MediaPipe and OpenCV to provide instant feedback on the exercise form. The system captures video input through a webcam, processes it using OpenCV, and utilizes MediaPipe’s pose-estimation model to detect key body landmarks. By analysing the joint angles and comparing them to predefined optimal postures, the system evaluates the user’s form and provides corrective feedback in real time. This approach eliminates the need for expensive wearable sensors, making posture monitoring more accessible and user friendly. …

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Design And Implementation Of A Web-Based Lecture Timetable Scheduling System, Suraj Abubakar, Mohammed Kabir Dauda, Maryam Abdullahi Musa, Bala Muhammad Muhammad Feb 2026

Design And Implementation Of A Web-Based Lecture Timetable Scheduling System, Suraj Abubakar, Mohammed Kabir Dauda, Maryam Abdullahi Musa, Bala Muhammad Muhammad

Journal of Informatics and Web Engineering

Timetable management is a controversial but core administrative activity at tertiary learning institutions, normally saturated with timetabling clashes, resource wastage, and communication breakdowns. This study describes the development and validation of a Web-Based Lecture Timetable Scheduling System (WLTSS) for Abubakar Tafawa Balewa University (ATBU) Department of Computer Science. The system was implemented to automatically and effectively build, modify, and publicize lecture timetables. On Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, and React as frontend technologies, the system provides an adaptable interface with real-time data updates through the Reacts component model foundation. MySQL and Node.js are used to run …

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Test Case Prioritization Using Ant Colony Optimization To Improve Fault Detection And Time, Nurezayana Zainal, Muhammad Sh Salleh, Nur Atiqah Wahidah Sulaiman, Ammar Alazab, Nur Liyana Sulaiman Feb 2026

Test Case Prioritization Using Ant Colony Optimization To Improve Fault Detection And Time, Nurezayana Zainal, Muhammad Sh Salleh, Nur Atiqah Wahidah Sulaiman, Ammar Alazab, Nur Liyana Sulaiman

Journal of Informatics and Web Engineering

Regression testing plays a critical role in ensuring the reliability and quality of software following continuous integration and development. However, executing all test cases during regression testing can be time-consuming and resource-intensive. Test Case Prioritization (TCP) addresses this challenge by determining an optimal execution order of test cases that maximizes early fault detection while minimizing execution time. Optimization algorithms contribute significantly to enhancing the effectiveness of TCP while utilizing limited resources. This study proposes an Ant Colony Optimization (ACO) algorithm to address the TCP problem, leveraging its strength in navigating complex search spaces inspired by the foraging behavior of real …

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Flood Disaster Preparedness And Response Using A Web-Based Integrated Flood Management System (Ifms), Mohamed Abdiraman Abdirahim, Abd Samad Bin Hasan Basari, Malik Bader Alazzam, Muhammad Shukri Bin Che Lah, Rabiah Binti Ahmad, Aida Binti Mustapha Feb 2026

Flood Disaster Preparedness And Response Using A Web-Based Integrated Flood Management System (Ifms), Mohamed Abdiraman Abdirahim, Abd Samad Bin Hasan Basari, Malik Bader Alazzam, Muhammad Shukri Bin Che Lah, Rabiah Binti Ahmad, Aida Binti Mustapha

Journal of Informatics and Web Engineering

Floods are one of the most frequent and damaging natural hazards in Malaysia, especially in low-lying places, such as Batu Pahat and Johor. National flood monitoring systems, such as InfoBanjir and Malaysian Meteorological Department (MET) Malaysia, have disjointed data pools, late updates, and inadequate public access. In this paper, we present an IFMS, which is a contemporary web platform developed to integrate national flood management systems through data collection, automatic processing, dynamic visualization tools, and others. The system architecture consists of three main layers: IoT-enabled flood sensors, centralized web server, and responsive user interfaces. Backend processing is performed using Laravel, …

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Evaluating Accuracy Latency And Robustness Of Face Recognition Models For Real-Time Web Applications, Alani Fatini Sharzizi, Nur Afiqah Sahadun, Abdulkadir Hassan Disina, Harinda Fernando Feb 2026

Evaluating Accuracy Latency And Robustness Of Face Recognition Models For Real-Time Web Applications, Alani Fatini Sharzizi, Nur Afiqah Sahadun, Abdulkadir Hassan Disina, Harinda Fernando

Journal of Informatics and Web Engineering

Face-recognition technology is one of the most important advancements in the field of computer vision. They play a crucial role in many applications, including biometric authentication, surveillance, online security, and interactive web systems. The use of web-based solutions is increasing continuously. Therefore, accurate and fast recognition models employing few resources are required in real-world applications. However, because of the challenges related to such environments, including the lighting, occlusion, pose, and computing power of client devices, it is difficult to ascertain which model will be most successful in a real-life scenario. The purpose of this research is to compare four deep …

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An Enhanced Glowworm Swarm Optimization For Minimizing Surface Roughness In Die Sinking Electrical Discharge Machining, Nurezayana Zainal, Muhammad Ammar S.M. Shahrom, Mohamad Firdaus Ab. Aziz, Salama A. Mostafa, Anis Farhan Kamaruzzaman, Nor Bakiah Abd. Warif Feb 2026

An Enhanced Glowworm Swarm Optimization For Minimizing Surface Roughness In Die Sinking Electrical Discharge Machining, Nurezayana Zainal, Muhammad Ammar S.M. Shahrom, Mohamad Firdaus Ab. Aziz, Salama A. Mostafa, Anis Farhan Kamaruzzaman, Nor Bakiah Abd. Warif

Journal of Informatics and Web Engineering

Electric Discharge Machining (EDM) is a non-traditional machining process that utilizes electric sparks between an electrode and a workpiece submerged in a dielectric fluid to ablate a material. It is commonly used in die-making, aerospace, automotive manufacturing, and medical manufacturing, because it can machine hard and complex materials with high precision. In this work, a Surface Roughness Optimization for EDM (SRO-EDM) model is proposed to investigate the machining performance of the die-sinking EDM process of titanium alloys. A regression-based combined approach of Glowworm Swarm Optimization (GSO) and a Two-Factor Interaction (2FI) model has been proposed to investigate the impact of …

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Characterizing Indoor Surface Voc Contamination After The 2025 Los Angeles Fires, Brett W. Stinson, Emily Lei, Elliott T. Gall Feb 2026

Characterizing Indoor Surface Voc Contamination After The 2025 Los Angeles Fires, Brett W. Stinson, Emily Lei, Elliott T. Gall

Mechanical and Materials Engineering Faculty Publications and Presentations

We quantify volatile organic compound (VOC) emissions from indoor surface swabs and portable air cleaner (PAC) filters collected in a home 30 days after the 2025 Los Angeles wildland-urban interface (WUI) fires. We calculate emissions for 17 fire-relevant compounds. Surface emissions exceeded those of clean controls, and emissions from a windowsill in a room without a PAC were ∼15× and ∼2× higher for benzene and toluene, respectively, than rates reported in the literature for comparable materials unaffected by smoke/soot. Particle filters installed in PACs at the start of the fire emitted aromatics at rates comparable to those reported in a …

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The Language Matters In Restaurant Menus: The Saudi Arabian Marketing Perspective, Abdulaziz Khalid Alotaibi Feb 2026

The Language Matters In Restaurant Menus: The Saudi Arabian Marketing Perspective, Abdulaziz Khalid Alotaibi

UB Journal for Humanities

The study investigates the effect of variations of menu language on customer purchasing decisions in Saudi Arabian restaurants operating under fixed price systems. Furthermore, the study examines how different linguistic approaches used in menu descriptions impact customer ordering behaviors within the Saudi hospitality industry’s unique culture and multilingual setting. Thus, a cross-sectional quantitative survey employed experimental vignettes across four language conditions: basic descriptions, sensory-rich descriptions, culturally authentic words, and premium positioning phrases. Hence, through an application of stratified random sampling, data were collected from 447 restaurant customers living in Saudi Arabia’s five most significant metropolitan areas. The findings indicated that …

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Reviving The Skies: The Impact Of Government Focus On Aviation Industry Growth In The Post-Covid World, Sumeet Hassan Anwar, Humna Asad Feb 2026

Reviving The Skies: The Impact Of Government Focus On Aviation Industry Growth In The Post-Covid World, Sumeet Hassan Anwar, Humna Asad

Journal of Aviation Technology and Engineering

Travel restrictions and border closures during the COVID-19 epidemic drastically reduced air traffic that affected the aviation sector. With an eye toward regional variances and public-private alliances, this essay investigates how government policies, financial interventions, and regulatory frameworks assisted recovery attempts. The essay also looks at how network-based resilience models lower vulnerabilities and improve operational connection, thus guaranteeing future disturbance readiness. Autoregressive integrated moving average models, among other forecasting instruments, help to forecast aviation demand and match recovery plans with changing market dynamics. By means of comparative policy analysis and network theory, this study reveals best practices from Asia, Europe, …

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The Evolution Of Mro Outsourcing: Global Trends, Regulatory Challenges, And Strategic Considerations In Aviation Maintenance, David C. Ison Feb 2026

The Evolution Of Mro Outsourcing: Global Trends, Regulatory Challenges, And Strategic Considerations In Aviation Maintenance, David C. Ison

Journal of Aviation Technology and Engineering

The maintenance, repair, and overhaul (MRO) industry plays a critical role in ensuring the safety, efficiency, and sustainability of the global aviation sector. As airlines seek to reduce costs, optimize operations, and access specialized expertise, MRO outsourcing has become an increasingly prevalent strategy. This essay examines the key drivers of MRO outsourcing, including cost reduction, access to advanced technologies, and the focus on core competencies. The essay also explores emerging trends such as the rise of new MRO hubs in Asia and the Middle East, the integration of predictive maintenance and artificial intelligence, and the growing emphasis on environmental sustainability. …

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The Stories I Did Not Write, Inara Verzemmnieks Feb 2026

The Stories I Did Not Write, Inara Verzemmnieks

Creative Nonfiction Magazine

No abstract provided.

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Show And Tell: Research And Personal Writing, Phillip Lopate Feb 2026

Show And Tell: Research And Personal Writing, Phillip Lopate

Creative Nonfiction Magazine

No abstract provided.

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Review Of Red Star: The First Bolshevik Utopia, Arthur O. Lewis Feb 2026

Review Of Red Star: The First Bolshevik Utopia, Arthur O. Lewis

Communal Societies

No abstract provided.

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The Skeleton Woman, Casey Clabough Feb 2026

The Skeleton Woman, Casey Clabough

Creative Nonfiction Magazine

No abstract provided.

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The Topolobampo Colony In The Context Of Porfirian Mexico, Bennett Lowenthal Feb 2026

The Topolobampo Colony In The Context Of Porfirian Mexico, Bennett Lowenthal

Communal Societies

No abstract provided.

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Preliminary Design: 9-Passenger Stol Aircraft, Rodrigo Dieguez Novo, Jason Tundidor, Alexander Hosein, Riley Turner, Jet Stevenson, David Corley Feb 2026

Preliminary Design: 9-Passenger Stol Aircraft, Rodrigo Dieguez Novo, Jason Tundidor, Alexander Hosein, Riley Turner, Jet Stevenson, David Corley

Student Research Symposium (SRS)

This poster analyzes the configuration selection process for the Cedar Island Aviation Company CIAC-1, a modern 9-passenger, twin-engine turboprop STOL aircraft developed to replace legacy commuter aircraft such as the Cessna 402C and Tecnam P2012 in Cape Air’s fleet. The main objective of this study us to identify a configuration that maximizes performance, safety, maintainability, while reducing acquisition and operating cost. Several configurations were evaluated using a decision matrix that considered short field performance, certification, aerodynamic efficiency, safety, etc. After trade studies and further analysis, a high wing, multi-engine with conventional tail layout and retractable gear was selected for its …

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Nasa Microgravity Operations: S.E.A.M (Softgood Element Attachment Mechanism), Aidan Magann, Sena Nitta, Kamanakai Natividad, Alex Ptak, Nicholas Coy, Tyler Griscom Feb 2026

Nasa Microgravity Operations: S.E.A.M (Softgood Element Attachment Mechanism), Aidan Magann, Sena Nitta, Kamanakai Natividad, Alex Ptak, Nicholas Coy, Tyler Griscom

Student Research Symposium (SRS)

Softgoods play an essential role in spaceflight, providing thermal protection for sensitive equipment and serving as a defense against debris encountered in space. During Extravehicular Activities (EVA), astronauts may be required to fasten softgoods and maintain the connections between existing components and newly installed ones. The 2025 NASA Micro-G NExT Challenge sought to develop a device to meet this need. SEAM (Softgoods Element Attachment Mechanism) provided NASA with an effective solution to this engineering challenge. Team SEAM developed a manually powered, astronaut-friendly fastening tool designed to simplify the installation of softgoods in a microgravity environment. After a nationwide call for …

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Implementing And Evaluating Strategies For Student Success In An Nsf-Funded S-Stem Project, Sydney Cash Feb 2026

Implementing And Evaluating Strategies For Student Success In An Nsf-Funded S-Stem Project, Sydney Cash

Student Research Symposium (SRS)

This poster is based on an NSF-funded S-STEM project that offers financial assistance to 25 high-achieving domestic students with demonstrated financial need at our institution. The project supports students to complete a four–year undergraduate program and a one year accelerated master's program in the Electrical Engineering and Computer Science (EECS) department. These students are supported through the project with many resources, most importantly, an assigned faculty mentor whom they meet regularly, as well as professional development workshops, and advising. We conduct an IRB approved study and collect both qualitative and quantitative data utilizing survey instruments to measure students' academic success. …

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Interplanetary Trajectory Optimization With Artificial Intelligence, Shiloh Cuffe Feb 2026

Interplanetary Trajectory Optimization With Artificial Intelligence, Shiloh Cuffe

Student Research Symposium (SRS)

Trajectory optimization is an essential component of mission planning and space mission control. Mission planning involves developing a trajectory that allows a spacecraft to complete objectives, like performing orbital maneuvers, rendezvous missions, or planetary impacts, while also minimizing resource utilization and avoiding physical and functional violation of constraints. In interplanetary mission planning, a vehicle must travel to another planet using the same concepts. This task requires a reliable trajectory planning algorithm that could handle uncertainties in the environment. Traditional methods utilizing models and numerical methods have been used to solve these problems before. While these approaches are efficient in that …

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Visualizing Swarm Behavior And Opinion Dynamics In Multi-Agent Systems Using Rgb Color Feedback, Ava Neubert Feb 2026

Visualizing Swarm Behavior And Opinion Dynamics In Multi-Agent Systems Using Rgb Color Feedback, Ava Neubert

Student Research Symposium (SRS)

Understanding how individual agents within a swarm form, share, and adapt their opinions is essential for developing robust and cooperative multi-agent systems (MAS). This research focuses on visualizing collective swarm behavior through a dynamic RGB color-coding system that represents each agent’s opinion state in real time. The study aims to provide an intuitive and interpretable method for observing how consensus forms and evolves across a distributed network. A simulation was developed in AnyLogic to model swarm interactions under conditions of limited communication and environmental uncertainty. Each agent’s color continuously changes based on its internal state and the influence of neighboring …

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Seed-Induced Uniqueness In Transformers: Subspace-Aligned Latent Keys For Authentication, Ayse Okatan Feb 2026

Seed-Induced Uniqueness In Transformers: Subspace-Aligned Latent Keys For Authentication, Ayse Okatan

Student Research Symposium (SRS)

We introduce Model-Bound Latent Exchange (MoBLE), a decoder-binding property in Transformer autoencoders that we formalize as Zero-Shot Decoder Non-Transferability (ZSDN). In a controlled character-level identity task with iso-architectural models trained on identical data but different random seeds, we observe that self-decoding achieves 86-92% exact sequence match and ≈98-99% token accuracy, while zero-shot cross-decoding collapses to chance (≈ 1/vocabulary size) with 0% exact matches. This sharp separation persists despite identical architectures and training recipes, and is corroborated by weight-space distances and attention-divergence diagnostics. We argue that ZSDN is best interpreted as model binding-an authentication and accesscontrol mechanism for latent representations-on identity …

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Reduction Of Lunar Dust Adhesion Via Biomimetic Surfaces, Alyssa Vega Feb 2026

Reduction Of Lunar Dust Adhesion Via Biomimetic Surfaces, Alyssa Vega

Student Research Symposium (SRS)

Lunar regolith poses significant risks to exploration machinery and equipment due to its highly abrasive, fine, angular, and electrostatic nature, as observed during the Apollo missions. A promising approach to mitigate these effects is the use of bio-inspired, or biomimetic, surfaces. These surfaces replicate natural micro and nanoscale textures to achieve functional properties such as reduced adhesion and enhanced durability. This study aims to quantify the correlation between surface morphology, surface energy, and adhesion in engineered biomimetic samples. Additively manufactured samples were investigated using optical profilometry to quantify surface roughness and topography, enabling correlation of morphology with adhesion and wettability …

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Intelligent Detection And Response System For Attacks On Unmanned Aerial Vehicles Based On Hybrid Ai Models, Mlp And Autoencoder, Kristiyan Stefanov Feb 2026

Intelligent Detection And Response System For Attacks On Unmanned Aerial Vehicles Based On Hybrid Ai Models, Mlp And Autoencoder, Kristiyan Stefanov

Student Research Symposium (SRS)

This paper presents an intelligent hybrid system for detecting and responding to cyberattacks targeting Unmanned Aerial Vehicles (UAVs). Existing UAV defense systems rely heavily on centralized processing and cannot effectively detect new or unknown attacks in real time. To address this gap, the proposed architecture integrates two artificial intelligence models: a supervised Multilayer Perceptron (MLP) for classifying known threats and an unsupervised Autoencoder (AE) for detecting behavioral anomalies. Both models operate onboard using edge AI hardware, allowing autonomous processing without ground connectivity. The system analyzes telemetry, GPS, IMU, and network control data to detect attacks such as GPS spoofing, RF …

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Mob-Air: Mob Detection From A Uav, Ethan Thomas, Liam Abraham, Nikolaos Triantafilloy Feb 2026

Mob-Air: Mob Detection From A Uav, Ethan Thomas, Liam Abraham, Nikolaos Triantafilloy

Student Research Symposium (SRS)

Man-overboard (MOB) events continue to pose a significant challenge to maritime safety, where rapid and reliable detection of a person in the water is critical to survival. Traditional search and rescue (SAR) operations rely on manual surveillance from ships or crewed aircraft. These operations can be slow to initiate, manpower-intensive, and limited by poor visibility, sea state, and weather. Autonomous systems, particularly uncrewed aerial systems (UAS), have the potential to drastically improve the effectiveness of SAR operations. Our team will investigate the use of a UAS to improve the support of SAR operations with a focus on developing an advanced …

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In Fact: The Age Of The Expert, Lee Gutkind Feb 2026

In Fact: The Age Of The Expert, Lee Gutkind

Creative Nonfiction Magazine

No abstract provided.

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