Edwin Sybingco
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View article: FloodCast: A user-centered flood monitoring system to enhance user engagement
FloodCast: A user-centered flood monitoring system to enhance user engagement Open
Flooding is a major natural hazard whose frequency and severity have increased due to climate change. Although technological advances have improved flood monitoring systems, their usability remains a critical but often overlooked aspect. F…
View article: Non-Invasive Multimodal and Multiscale Bioelectrical Sensor System for Proactive Holistic Plant Assessment
Non-Invasive Multimodal and Multiscale Bioelectrical Sensor System for Proactive Holistic Plant Assessment Open
Global crop losses of 20–40% continue because traditional plant assessment methods are either invasive, damaging plant tissues, or reactive, detecting stress only after visible symptoms. Recent developments have remained fragmented, focusi…
View article: Non-Invasive Bioelectrical Characterization of Strawberry Peduncles for Post-Harvest Physiological Maturity Classification
Non-Invasive Bioelectrical Characterization of Strawberry Peduncles for Post-Harvest Physiological Maturity Classification Open
Strawberry post-harvest losses are estimated at 50%, due to improper handling and harvest timing, necessitating the use of non-invasive methods. This study develops a non-invasive in situ bioelectrical spectroscopy for strawberry peduncles…
View article: AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification Open
Brain-computer interface (BCI) technology utilizing electroencephalography (EEG) marks a transformative innovation, empowering motor-impaired individuals to engage with their environment on equal footing. Despite its promising potential, d…
View article: Development of a Secured IoT-Based Flood Monitoring and Forecasting System Using Genetic-Algorithm-Based Neuro-Fuzzy Network
Development of a Secured IoT-Based Flood Monitoring and Forecasting System Using Genetic-Algorithm-Based Neuro-Fuzzy Network Open
The paper aims to provide a flood prediction system in the Philippines to increase flood awareness, which may help reduce property damage and save lives. Real-time flood status can significantly increase community awareness and preparednes…
View article: Intelligent Battery Management in a Hybrid Photovoltaic Using Fuzzy Logic System
Intelligent Battery Management in a Hybrid Photovoltaic Using Fuzzy Logic System Open
LiFePO4 batteries need a battery management system (BMS) to improve performance, extend their lifespan, and maintain safety by utilizing advanced monitoring, control, and optimization techniques. This paper presents the design, development…
View article: Development of a Secured IoT-based Flood Monitoring and Forecasting System using Genetic Algorithm Based Neuro-Fuzzy Network
Development of a Secured IoT-based Flood Monitoring and Forecasting System using Genetic Algorithm Based Neuro-Fuzzy Network Open
The paper aims to provide a flood prediction system in the Philippines to increase flood awareness, which may help reduce property damage and save lives. Real-time flood status can significantly increase community awareness and preparednes…
View article: Target-oriented robust optimization for scheduling microalgal cultivation and harvesting for biofuel production
Target-oriented robust optimization for scheduling microalgal cultivation and harvesting for biofuel production Open
Microalgae is regarded as one of the most viable bioenergy feedstocks due to its ability to produce substantial amounts of essential components for generating various biofuels, while requiring only a limited amount of water and land area b…
View article: Semantic Segmentation of Paddy Rice From Sentinel-1 SAR Time Series: A Temporal Convolutional Network Approach
Semantic Segmentation of Paddy Rice From Sentinel-1 SAR Time Series: A Temporal Convolutional Network Approach Open
Mapping paddy rice fields from multitemporal SAR imagery through advanced classification methods is a proven approach for monitoring cultivation. However, existing models often struggle to capture the characteristic backscatter dynamics of…
View article: AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification Open
Brain-computer interface (BCI) technology utilizing electroencephalography (EEG) marks a transformative innovation, empowering motor-impaired individuals to engage with their environment on equal footing. Despite its promising potential, d…
View article: DEVELOPMENT AND PERFORMANCE ANALYSIS OF ORTHOGONAL SONAR ARRAY FOR AUTONOMOUS MOBILE ROBOT SLAM IMPLEMENTATION
DEVELOPMENT AND PERFORMANCE ANALYSIS OF ORTHOGONAL SONAR ARRAY FOR AUTONOMOUS MOBILE ROBOT SLAM IMPLEMENTATION Open
Simultaneous Localization and Mapping (SLAM) research focuses on different techniques to develop efficient systems. Acoustic SLAM (aSLAM) is an alternative technique that is unrestricted from visual SLAM (vSLAM) limitations and is a cheape…
View article: A NOVEL COST-EFFECTIVE PRESSURE SENSOR BASED FLOOD MONITORING SYSTEM WITH IOT
A NOVEL COST-EFFECTIVE PRESSURE SENSOR BASED FLOOD MONITORING SYSTEM WITH IOT Open
Floods are one of the most frequent and destructive natural hazards in the world. Early warning and flood monitoring is beneficial in the response and preparedness for this hazard. This paper presents a novel, low-cost flood monitoring sys…
View article: Deep Neural Network-based Current and Voltage PredictionModels for Digital Measuring Unit of Capacitive ResistivityUnderground Imaging Transmitter Subsystem
Deep Neural Network-based Current and Voltage PredictionModels for Digital Measuring Unit of Capacitive ResistivityUnderground Imaging Transmitter Subsystem Open
Real-time monitoring of output electrical parameters of the transmitted signals in a capacitive resistivity underground imaging system is necessary because these are significant in the calculation of underground resistivity, however, machi…
View article: Application of Fuzzy Logic for Robotic Arm Joint Control of an Explosive Ordnance Disposal Unit
Application of Fuzzy Logic for Robotic Arm Joint Control of an Explosive Ordnance Disposal Unit Open
Precise luffing of payload in mobile cranes is a crucial part of material handling and safety in industrial operations. Explosive ordnance disposal uses a bomb disposal robot to safely disable explosive devices at a safe distance. This rob…
View article: Non-Invasive Plant Root Tomography Through Optimized Sonar Array Transducer Antenna Design Using Genetic Swarm Metaheuristic
Non-Invasive Plant Root Tomography Through Optimized Sonar Array Transducer Antenna Design Using Genetic Swarm Metaheuristic Open
Plant root imaging is crucial for progress in various domains such as plant breeding and crop optimization. Traditionally, root tomography involves invasive methods that disrupt plant systems and yield non-reproducible results. As a result…
View article: Fuzzy Logic-Controlled Gripper Force Feedback for Haptic Device
Fuzzy Logic-Controlled Gripper Force Feedback for Haptic Device Open
This paper aims to solve the nonlinearity in PID control of a force-sensitive resistor on a haptic device and gripper using a fuzzy logic controller. The proposed system will match the force exerted by the haptic device to those applied at…
View article: Smart Shelf System for Customer Behavior Tracking in Supermarkets
Smart Shelf System for Customer Behavior Tracking in Supermarkets Open
Transactional data from point-of-sales systems may not consider customer behavior before purchasing decisions are finalized. A smart shelf system would be able to provide additional data for retail analytics. In previous works, the convent…
View article: Optimization of an ANN-based speed and position estimator for an FOC-controlled PMSM using genetic algorithm
Optimization of an ANN-based speed and position estimator for an FOC-controlled PMSM using genetic algorithm Open
To further improve the performance of sensorless permanent magnet synchronous motor (PMSM) implementations, this study develops a neural network-based estimator for the speed and position estimation of a PMSM using field oriented control (…
View article: Predicting Intoxication Using Motorcycle and Head Movements of Riders Wearing Alcohol Intoxication Goggles
Predicting Intoxication Using Motorcycle and Head Movements of Riders Wearing Alcohol Intoxication Goggles Open
The movement of a motorcycle is one of the critical factors that influences the stability of the ride. It has been established that the gait patterns of drunk and sober people are distinct. However, drunk motorcycle (MC) drivers’ balance h…
View article: Grape <i>Pseudocercospora</i> Leaf Specked Area Estimation Using Hybrid Genetic Algorithm and Recurrent Neural Network
Grape <i>Pseudocercospora</i> Leaf Specked Area Estimation Using Hybrid Genetic Algorithm and Recurrent Neural Network Open
Grapes are prone to Pseudocercospora vitis fungus which causes Isariopsis leaf speck disease to the crop’s leaves, flower, and most importantly the fruit. Typical manual inspection of vineyard farmers is normally ineffective, destructive, …
View article: Observation-Centric with Appearance Metric for Computer Vision-Based Vehicle Counting
Observation-Centric with Appearance Metric for Computer Vision-Based Vehicle Counting Open
Tracking objects in video sequences is a key step for applications involving computer vision like traffic monitoring and security systems.Occlusion is a frequent problem in object tracking which can result in the tracker losing track of th…
View article: Energy and Nvidia Sionna-Based Signal Integrity: Selection Design for Off-the-Shelf Synthetic Aperture Radar-Capable Unmanned Aerial Vehicles
Energy and Nvidia Sionna-Based Signal Integrity: Selection Design for Off-the-Shelf Synthetic Aperture Radar-Capable Unmanned Aerial Vehicles Open
This paper presents the relationship between energy and signal integrity of Unmanned Aerial Vehicles (UAVs) with Synthetic Aperture Radar (SAR) capabilities for a more informed off-the-shelf selection design. The energy is expressed in the…
View article: A NOVEL FLIGHT CONTROLLER DESIGN FOR MODULAR APPLICATIONS
A NOVEL FLIGHT CONTROLLER DESIGN FOR MODULAR APPLICATIONS Open
A local flight controller was developed for modular applications based on the Pixhawk 1 flight controller with modifications to accommodate companion computer provision for future integration. This design is made for future modular applica…
View article: <i>f</i>Maize: A Seamless Image Filtering and Deep Transfer EfficientNet-b0 Model for Sub-Classifying Fungi Species Infecting <i>Zea mays</i> Leaves
<i>f</i>Maize: A Seamless Image Filtering and Deep Transfer EfficientNet-b0 Model for Sub-Classifying Fungi Species Infecting <i>Zea mays</i> Leaves Open
Identification of fungi infecting Zea mays leaves and sub-classifying them to have correct course management in the earlier stages is lucrative. To develop a nondestructive and low-cost classification model of corn leaves infected by Setos…
View article: Detection of Japanese Quails (<i>Coturnix japonica</i>) in Poultry Farms Using YOLOv5 and Detectron2 Faster R-CNN
Detection of Japanese Quails (<i>Coturnix japonica</i>) in Poultry Farms Using YOLOv5 and Detectron2 Faster R-CNN Open
Poultry, like quails, is sensitive to stressful environments. Too much stress can adversely affect birds’ health, causing meat quality, egg production, and reproduction to degrade. Posture and behavioral activities can be indicators of pou…
View article: Strategic Transit Route Recommendation Considering Multi-Trip Feature Desirability Using Logit Model with Optimal Travel Time Analysis
Strategic Transit Route Recommendation Considering Multi-Trip Feature Desirability Using Logit Model with Optimal Travel Time Analysis Open
Route recommendation continues to manifest noteworthy contributions to the intelligent transportation system field of research as it evolves through time. Early related studies helped passengers and tourists experience a more convenient tr…
View article: BombNose: A Multiple Bomb-Related Gas Prediction Model Using Machine Learning with Electronic Nose Sensor Substitution Technique
BombNose: A Multiple Bomb-Related Gas Prediction Model Using Machine Learning with Electronic Nose Sensor Substitution Technique Open
The safety and security of an individual is important in our society. Bombing attacks can cause significant destruction and death. Energy efficient and compact bomb removal robots are challenging to develop because these typically involved…
View article: Low-Cost Underwater Camera: Design and Development
Low-Cost Underwater Camera: Design and Development Open
The understanding of vision-based data acquisition and processing aids in developing predictive frameworks and decision support systems for efficient aquaculture monitoring and management. However, this emerging field is confronted by a la…