Engineering Proceedings, Volume 108, Issue 1

The implementation and monitoring of Republic Act (RA) 9003 of the Philippines presents significant challenges due to the vast area and limited number of implementing enforcers. RA 9003 focuses on ecological solid management systems. The law relies o...

This study aims to develop and implement a robust monitoring system to continuously assess water quality parameters, such as total dissolved solids (TDS), pH, and turbidity. This system enhances the quality control process for water refilling station...

In submitting conference proceedings of the 2025 IEEE 5th International Conference on Electronic Communications, Internet of Things and Big Data (IEEE ICEIB 2025) to Engineering Proceedings, the volume editors of the proceedings certify to the publis...

This volume presents the proceedings of the 2025 IEEE 5th International Conference on Electronic Communications, Internet of Things, and Big Data (IEEE ICEIB 2025) [...]

The confluence of computer vision and natural language processing has yielded powerful vision language models (VLMs) capable of multimodal understanding. We applied state-of-the-art VLMs for quality monitoring of the shoe assembly industry. By levera...

With the advancement of medical care technology, the aging population has become a serious problem, and long-term care for the elderly is a major concern facing today’s society. Long-term care institutions take care of people with dysfunction o...

By employing computational fluid dynamics (CFD) software (Ansys Fluent), we examined the thermal effects of vertical solar panels on the south-facing facades of mid-rise (50 m) and high-rise (100 m) buildings in a 5 × 5 idealized urban environm...

In this study, selective intersection flow (SIF), a lightweight optical flow algorithm, was used to enhance efficiency and accuracy by filtering out non-contributive pixels. SIF, derived from the differential category of algorithms, is used to comput...

As global obesity rates rise, cardiovascular diseases increase, and stress-related issues become more severe. This increases the public awareness of health and exercise. However, existing spinning fitness equipment lacks personalized customization fo...

High-utility itemset mining (HUIM) utilizes the threshold value to extract HUI from the transactional database. However, it is difficult to define an optimal threshold value, since it depends on the domain knowledge of the application. Therefore, top...

We developed and evaluated a monitoring and control system based on the controller area network (CAN) bus with a microprocessor of Arduino UNOs and a logic analyzer as auxiliary tools. We implemented a CAN bus communication system using Arduino UNO t...

As manufacturing technology advances, the shift toward smart solutions makes programmable logic controllers (PLCs) essential due to their reliability and scalability. Operational failures cause major disruptions if not detected early. Therefore, we d...

Quick-response (QR) codes are widely used for information transmission. However, their black-and-white dot structure often lacks visual appeal. Therefore, we developed novel graphic QR codes that remove traditional corner finder patterns and conceal...

We developed an artificial intelligence (AI) model to optimize the time efficiency, yield, and energy efficiency of the semiconductor coating process. A random forest-based model was developed for rapid modeling and analysis of the semiconductor coat...

The construction of a wireless detection network for bridge inspection is important in intelligent infrastructure management. Advanced wireless communication technology and a sensor network enable the real-time remote and accurate monitoring of bridg...

Wireless sensor networks (WSNs) consist of distributed sensor nodes deployed for real-time monitoring and data collection. Optimizing sensor energy consumption is critical for extending the overall network lifespan. In large-scale WSNs, clustering te...

Quadcopter drones have been extensively researched due to their flexibility and suitability for diverse tasks. In this study, a control strategy tailored for scenarios with restricted network bandwidth is developed. An event-triggered control approac...

An iterative method was developed in this study within a Petri net system (PNS) for flexible manufacturing systems (FMSs) to eliminate deadlocks. The algorithm employs variant tokens, ranging from a few to many, in idle places to identify subnet dead...

Prolonged poor sitting posture increases the risk of musculoskeletal disorders and chronic diseases. We developed a smart cushion system that integrated pressure sensing and machine learning for posture recognition. Nine FSR406 sensors were used to m...

In this study, silicon carbide (SiC) thin films for resistive random-access memory (RRAM) devices were successfully prepared using the radio-frequency magnetron sputtering method at deposition powers of 50 and 75 W for 1 h. The aluminum (Al) top elec...

Amid expanding higher education and enhancing spatial quality, modern university campuses face challenges including inefficient space utilization and a disconnect from human-centered design. We developed a coupled model that integrates the analytic h...

We developed an artificial intelligence (AI)-based size detection system by combining image recognition and weight analysis to address inconsistent sizing in manually processed sashimi products. Using a custom imaging setup and YOLOv11_obb, the syste...

Construction projects face growing public environmental awareness, a shortage of skilled workers, and increasingly stringent legal regulations. Although construction technologies are advancing, construction progress management remains context-depende...

A parametric-based finite element model was developed to analyze the behavior of rotating disks made from functionally graded materials (FGMs) subjected to thermal loads. The model enabled the rapid determination of critical speeds to prevent slip an...

Traditional high-utility itemset (HUI) mining methods tend to overestimate utility for long itemsets, leading to biased results. High average-utility itemset (HAUI) mining addresses this problem by normalizing utility with itemset length. However, un...

Quick User Datagram Protocol Internet Connection (QUIC) is a modern transport protocol leveraging the User Datagram Protocol (UDP) to improve latency, security, and mobility. In this study, we analyzed QUIC traffic by uploading a 10 MB file under var...

Nano quadcopters are small, agile, and cost-effective Internet of Things platforms, especially appropriate for narrow and cluttered environments. We developed a model-free control policy combined with FlowDep, an efficient optical flow depth estimati...

We developed a machine learning model for disease classification based on the International Classification of Diseases, 10th Revision (ICD-10) codes, analyzing male and female groups using seven features. The three most prevalent ICD-10 classes cover...

Environmental, social, and governance (ESG) has become a concern for companies, investors, and regulators. Its significance cannot be underestimated, as stakeholders increasingly demand accountability and transparency regarding corporate practices in...

With the increasing deployment of large language models (LLMs) in diverse applications, security vulnerability attacks pose significant risks, such as prompt injection. Despite growing awareness, structured, hands-on educational platforms for systema...

With the rapid development of the Internet of Things (IoT) applications, the ability to automatically discover and retrieve resource information has become increasingly enhanced. Despite being one of the most commonly used IoT communication protocols...

Artificial intelligence (AI) and big data technology were applied to assess carbon emissions in a high-tourism area in this study. In the study site, the Thalang Road in Phuket Old Town, Thailand, visitors and vehicles (including cars, motorcycles, t...

Chazence is a subsidiary of Zence Object Technology Company in the Greater Bay Area of China. It is a sustainable enterprise that combines tea industry consumables (tea residue) with fiber composite technology to replace traditional materials and con...

We developed a low-cost, high-performance gesture recognition system with a dynamic hand gesture recognition technique based on the Transformer model combined with MediaPipe. The technique accurately extracts hand gesture key points. The system was d...

Energy conservation and carbon reduction are critical in energy policies. Therefore, numerous energy-saving methods, such as the introduction of new technologies and the replacement of outdated equipment, have been proposed. To determine whether thes...

We fabricated TiO₂ thin films using the sol–gel method, incorporating TiO₂ nanoparticle sizes of 25 nm on the fluorine-doped tin oxide (FTO) substrates by spin coating and annelation at 600 °C. The influence of incorporating TiO₂ particles...

The radiofrequency identification (RFID) interface is used in a controller area network (CAN) bus system to enhance the performance of stacked fuel cells. In addition, a personal computer base logic analyzer (LA) is utilized to monitor and analyze da...

We developed a machine-learning model for the International Classification of Diseases, 10th Revision (ICD-10) classification using data from 5108 patients. Nine features, including age, gender, BMI, and vital signs, were extracted to classify the to...

Autonomous driving technology is developing rapidly, particularly in vision-based approaches that rely on cameras to monitor the environment. However, one of the critical challenges for autonomous vehicles is the ability to adapt to different weather...

With advancements in digital technology, OpenCourseWare (OCW) has become a crucial tool for enhancing learning outcomes. Therefore, the innovative application of whiteboard animation in engineering mathematics education was explored, utilizing YouTub...

We explored the adoption of virtual try-on (VTO) technology in Taiwan’s fashion retail sector, which has gained prominence as consumer behavior online has changed since the COVID-19 pandemic. Using an extended unified theory of acceptance and u...

Structural parameters, such as strain or deflection, were collected by sensors and analyzed to assess the bridge’s structural condition and obtain a reliable reference for bridge maintenance. In the data acquisition and transmission process, se...

Physically simulated attack experiments were conducted using LED lights of different colors, the You Look Only Once (YOLO) v5 model, and the German Traffic Sign Recognition Benchmark (GTSRB) dataset. We attacked and interfered with the traffic sign d...

Virtual reality (VR) has emerged as a transformative tool in the treatment of phobias and the cultivation of emotional resilience. This study aims to explore the potential of VR to create controlled, immersive environments that facilitate exposure th...

Watermelon is a popular fruit, predominantly cultivated in Asian countries. However, the production and harvesting processes present several challenges. Due to its size and weight, manually harvesting watermelons is labor-intensive and costly. In the...

With globalization and technology advancement, traditional teaching models are facing challenges due to the diverse needs of modern learners. It is necessary to enhance learner engagement and motivation, and incorporating Internet of Things (IoT)-ass...

Accurate indoor localization is vital for smart environments and the Internet of Things (IoT) applications. Received signal strength indicator (RSSI)-based methods suffer from multipath fading, signal attenuation, and missing data. To address these i...

Accurate tumor segmentation is crucial for cancer diagnosis and treatment planning. We developed a hybrid framework combining complementary convolutional neural network (CNN) models and advanced post-processing techniques for robust segmentation. Mod...

Artificial intelligence (AI) and big data analytics are transforming the fight against climate change by enabling advanced monitoring, predictive modeling, and actionable insights. This study aims to examine how AI-driven analytics enhance the unders...

Chemical vapor deposition (CVD) is a high-precision thin-film fabrication technique that is widely applied in semiconductor manufacturing, optical component manufacturing, and materials science. The performance of the deposition process plays a criti...