Engineering Proceedings, Volume 134, 2026

This volume contains the proceedings of the 7th Eurasia Conference on IoT, Communication and Engineering 2025 (ECICE 2025) [...]

In submitting the conference proceedings of the 7th Eurasia Conference on IoT, Communication and Engineering 2025 (ECICE 2025) to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in thi...

Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems rely on efficient antenna selection and hybrid beamforming (HB) to reduce the hardware cost while maintaining a high spectral efficiency (SE). In this work, we propose a temporal-...

The Philippines’ mussel industry plays a vital role in coastal livelihoods and food security, yet accurate species identification remains labor-intensive. This study developed an image classification system using MobileNet on a Raspberry Pi 4 t...

Recently, the yoga industry has witnessed rapid technology integration, particularly through computer vision and machine learning methods, to improve the practice experience. We developed a yoga posture detection and feedback system using a Raspberry...

We developed a telemetry-driven scheduler that recommends hour-by-hour operating windows for a small solar dryer used for Moro-Moro fish. Operational logs and moisture-ratio (MR) trajectories are aligned with solar resource descriptors and chamber th...

We designed and implemented facial recognition smart glasses to assist visually impaired individuals in recognizing people and navigating their environment safely and independently. The smart glasses utilize a Raspberry Pi 4 as the processing unit, i...

Reliable operation of public facilities depends on continuous power-quality (PQ) monitoring and timely triage of anomalies that can compromise voltage stability, equipment life, and safety. We developed an analytical method for a legislative complex...

Recent developments in low-cost computing platforms have enabled new possibilities for real-time digital audio signal processing. In particular, the Raspberry Pi single-board computer provides an affordable system capable of performing audio processi...

We investigated the potential of multi-layer extreme learning machines (MLELMs) for trajectory tracking in autonomous unmanned vehicles, focusing on an unmanned surface vehicle (USV). MLELMs were used to design position and attitude controllers withi...

AI and Machine Learning (ML) have advanced rapidly, yet their theoretical underpinnings remain incomplete. We developed an integrated framework combining mathematical theory, uncertainty quantification, and dynamic validation across autonomous platfo...

The Dicke-state-initialized Grover’s algorithm is used for the hitting set problem (DSIGA-HSP) to efficiently solve the NP-Complete HSP. By initializing the working qubits in the Dicke state $\left|D_k^n\right.⟩$, the algorithm restricts the search domain to sub...

An AI video–based assessment system is used to analyze the volleyball forearm pass under continuous wall-volley conditions in this study. A single 120 frames per second (FPS) high-speed camera captures the athlete from a rear-oblique view. A la...

Native chicken production in the Philippines is increasing, accounting for nearly half of the total population of raised chickens. Health-conscious consumers prefer native chicken due to its lower fat content. To support this growth, the government e...

With the advancement of computing and transmission technologies, there has been a growing demand for quartz oscillators and resonators, whose performance is evaluated by the quality coefficient (Figure of Merit, FoM). High-frequency, miniaturized fab...

Food waste is a serious worldwide problem that greatly contributes to resource inefficiency and degradation of the environment. However, amidst the challenge is a phenomenal opportunity for sustainability: turning food waste into useful organic compo...

We developed a prototype for grading various classes of honey. The honey was categorized into light amber, medium amber, and dark amber. The data collected were split into training and validation using an 80:20 ratio. The pre-trained model of the Mob...

SCALEeat, a self-contained smart food scale, was developed to offer a convenient solution and replace manual logging with on-device recognition and weighing. The device integrated a Raspberry Pi 5, a camera, and a load cell, identifies foods and comp...

In this study, composite plates with circular holes cracked on both edges were repaired using a composite patch. Epoxy adhesive was used to bond the patch to the plate. Low-velocity impact tests were applied to repaired specimens with varying crack l...

Thread counting is used to assess the quality and cultural significance of Philippine indigenous textiles such as Kalinga and Piña. We developed a portable system that automates the process using a Raspberry Pi 4 and the Alex Krizhevsky Convol...

Accurate size classification remains a persistent challenge for agricultural products with irregular morphology, such as bitter melon (Momordica charantia). Proper grading is essential for fair pricing, efficient packaging, and compliance with the As...

We developed an image-based positioning system and evaluated its performance under nighttime conditions. The system combines GPS, inertial measurement units, and camera input to determine position. Tests were conducted under three lighting scenarios:...

The rapid increase in residential electricity consumption in the Philippines has underscored the need for accurate metering, predictive forecasting, and improved protection against electrical hazards. We design a residential smart energy metering sys...

A multimodal strategy for fall detection within the broader domain of human activity recognition is developed in this study. A fine-tuned Inflated 3D Convolutional Network model, trained in optical flow data derived from video inputs, achieves 92.70%...

We applied the Lucas–Kanade optical flow method combined with a coarse-to-fine approach for robot navigation. While Lucas–Kanade is widely used for flow estimation and tracking, its utilization in robot navigation remains limited. Using a...

Obstructive sleep apnea (OSA) is a widely known sleep disorder that leads to serious health problems and complications. The standard diagnosis method of OSA is polysomnography. However, the process is time-intensive, expensive, and not readily access...

We designed a vertical take-off and landing fixed-wing unmanned aerial vehicle for long endurance. The design process involves mission-based sizing, aerodynamic shaping of major components, and performance evaluation through numerical simulation. Win...

The growing interconnection of critical engineering infrastructure through IoT introduces unprecedented exposure to cyber threats. Emerging quantum computing capabilities pose a transformative risk to classical cryptographic primitives such as Rivest...

The accurate and timely detection of leaf diseases is essential in helping farmers take necessary corrective actions to prevent disease spread that can lead to significant crop losses, reduced yield, and economic losses. A real-time Raspberry Pi 5-ba...

An edge-based and curve-based rule-driven nose detection framework is designed to improve the reliability of face detection. The designed framework combines quadratic curve fitting with a calibrated scoring mechanism that fuses geometric, photometric...

The quantum approximate optimization algorithm (QAOA) is an efficient method for solving combinatorial optimization problems in quantum computing. These problems involve finding the best solution from a finite set of possibilities. At its core, the Q...

Weather is an essential part of life that affects livelihoods such as agriculture, aviation, etc. Existing systems for weather prediction use deep learning frameworks such as Recurrent Neural Networks and Long Short-term Memory. These models, however...

Filipino Sign Language (FSL) serves as a vital means of communication for the Deaf and hard-of-hearing in the Philippines. However, its societal use remains limited due to the scarcity of qualified interpreters and the general lack of FSL literacy am...

Coconut milk-based Filipino foods provide a favorable environment for microbial growth and are highly susceptible to spoilage. Traditionally, spoilage in such foods has been assessed through subjective sensory evaluation, a method that often lacks co...

With the increasing demand for enhanced security and surveillance, the integration of multimodal AI has shown significant promise. We developed and fine-tuned a transformer-based model, the Large Language and Vision Assistant–OneVision, tailore...

We developed an automated system to address orchard crop damage caused by Formosan macaques, a problem where traditional deterrent methods have proven to be ineffective. The system integrates an Internet Protocol camera with a You Only Look Once vers...

This study presents an E-nose system for the identification and classification of volatile compounds in traditional Filipino alcoholic beverages, Basi, Bignay, Lambanog, and Tapuy. The system utilizes a gas sensor array composed of MQ3, MQ6, MQ8, MQ1...

Dragon fruit (Hylocereus undatus) is a high-value crop in the Philippines that has gained commercial importance due to its nutritional benefits and profitability. However, determining the optimal maturity stage remains challenging for farmers relying...

Parakeets exhibit many similar traits across species, with only subtle differences in features and coloration used for classification, which complicates detection and identification for birdwatchers, breeders, and researchers. Traditional classificat...

We propose a novel self-coupled optical waveguide (SCOW+) architecture that enhances spectral control in integrated photonic circuits. Derived from the foundational SCOW platform, SCOW+ introduces a tunable ring resonator coupled with an all-pass fil...

A non-invasive blood glucose monitoring system was developed in this study using near-infrared spectroscopy and an Arduino platform. Reflected signals from near-infrared-focused emissions to a user’s finger are captured via an infrared-tuned ph...

In sandstorm environments, a large number of suspended particles in the air absorb and scatter light, causing strong color bias, low contrast, and blurred details in images. These degradations reduce the reliability of computer vision applications in...

The badminton smash is a decisive scoring technique whose effectiveness depends on adequate preparation and a proper proximal-to-distal sequencing of the kinetic chain. This study integrates a You Only Look Once (YOLO)-based real-time vision detector...

Banana production is a vital agricultural sector in the Philippines and faces major threats from Bacterial Wilt, Banana Bunchy Top Disease, Sigatoka, and Panama. We developed a portable, non-destructive detection system using image processing and dee...

Chinese handwritten character recognition is challenging due to structural similarities among visually similar radicals and limited available training data, especially in the low-resolution case. In this study, a multi-dimensional feature fusion meth...

We developed a real-time guinea pig breed classification system using You Only Look Once Version 9 (YOLOv9)-small, deployed on a Raspberry Pi 5 with Camera Module 3 and Hailo-8L acceleration module. The system targeted three breeds, Abyssinian, Ameri...

The Bureau of Fisheries and Aquatic Resources Tilapia Industry Roadmap (2022–2025) emphasizes the need for technological innovation in Philippine aquaculture. We developed an automated IoT-based monitoring and control system for Oreochromis nil...

Image colorization transforms monochrome images into full-colored versions, which improves image restoration in fields such as art, history, and medicine. AI models, such as convolutional neural networks and generative adversarial networks, are widel...

A YOLOv8-based instance segmentation model is developed for detecting and segmenting surface corrosion in steel hand tools in this study. The model was trained using a 7000-image custom dataset and deployed on a Raspberry Pi 5-based setup with a cont...

This study investigated the impact of image capture distance on the performance of convolutional neural networks (CNNs) in classifying fabrics. Unlike previous works that rely solely on digital zoom and data augmentation to simulate multi-scale varia...