A5077126395- Traffic control and management
- Autonomous Vehicle Technology and Safety
- Traffic Prediction and Management Techniques
- Structural Health Monitoring Techniques
- IoT and GPS-based Vehicle Safety Systems
- Leaf Properties and Growth Measurement
- Remote Sensing in Agriculture
- Transportation Planning and Optimization
- Advanced MEMS and NEMS Technologies
- Vehicle emissions and performance
- Water Quality Monitoring Technologies
- Smart Parking Systems Research
- Infrared Target Detection Methodologies
- Infrastructure Maintenance and Monitoring
- Tropical and Extratropical Cyclones Research
- Oceanographic and Atmospheric Processes
- Thermography and Photoacoustic Techniques
- Smart Agriculture and AI
- Electric and Hybrid Vehicle Technologies
- Currency Recognition and Detection
- Inertial Sensor and Navigation
- Greenhouse Technology and Climate Control
- IoT-based Smart Home Systems
- Geophysics and Sensor Technology
- Concrete Corrosion and Durability
Nissan (United States)
2025
University of California, Berkeley
2020-2024
National University
2019
National University
2019
Mapúa University
2016-2017
This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; energy accurate values for strongly unsteady driving profiles; sparse Lagrangian controls via automated vehicles, focus on that can be executed existing technology such as adaptive cruise control systems. serves key building block in developing strategies human-in-the-loop flow smoothing real highways. In this contribution, we outline the fundamental merits...
The energy demand of vehicles, particularly in unsteady drive cycles, is affected by complex dynamics internal to the engine and other powertrain components. Yet, many applications, macroscopic traffic flow modeling optimization, structurally simple approximations vehicle are needed that nevertheless reproduce correct effective behavior. This work presents a systematic model reduction pipeline starts from models based on Autonomie software derives hierarchy simplified fast evaluate, easy...
Structural health monitoring (SHM) is an advancing area in the field of structural engineering. The main objective SHM verification and status order to ensure proper performance cost savings for maintenance using nondestructive tests. It not limited diagnosis but extended prognosis what are standards implement mitigate such destruction civil infrastructures. However, there still implementation issues as improper calibration sensors resulting poor data integrity. This study concerned reducing...
Isolation of individual crop in a multiple cropping agricultural system exhibits challenging issue mispredictions for each specially when plant plots are too near with other. Likewise, manual phenotyping numerous crops is time and labor intensive. In this study, phenotype signatures 24 Arabidopsis thaliana weeds rosette leaves horticultured pot-based configuration were nondestructively tracked extracted from germination to head development stage (27 days) quantify its growth. It employed...
Philippines is one of the countries situated along Pacific Ring Fire that makes it vulnerable to occurrence Earthquake and its after effects such as tsunamis. The high probability for an earthquake hit country due location unpredictable manifestation catastrophe motivated researcher this study design - activated device will cut power lines in residential areas especially those which are nearby bodies water. system was based on Philippine Intensity Scale built PHIVOLCS simulator including...
Phytopigments are essential indicators of plant growth. However, current methodologies use expensive laboratory devices. In this study, a low-cost approach lettuce leaf phytopigments profiling is employed using consumer-grade camera and integrated computational intelligence via paper chromatography. Hybrid neighborhood component analysis ReliefF selected the blue reflectance extracted from chromatography to have most significant impact with other biophysical signatures. Chl <tex...
The Car Battery in the Philippines can only last for an average span of 6 to 12 months. When a battery hits months margin, it will start showing unwanted responses such as unstable up and quick discharge. These must be avoided specially times that car is significantly needed good condition, during emergency or long drive. It inconceivable scenario stuck place far from people. As solution, proponents designed device automatically checked temperature, load current, voltage level, number hours...
A food production system does not end in harvesting crops rather it extends up to the postharvest phases like storage, transporting, marketing, and consumption. Diamante Max F1, a hybrid tomato, is resistive most diseases but one of highly perishable tomatoes because its high moisture content thin skin that can be easily affected by hot temperatures. In this study, new non-invasive characterization technique for tomato fruit was developed using integrated computer vision computational...
model and manage. In this work, we seek to use machine learning, computer vision, HPC improve the energy efficiency aspects of traffic control by leveraging GRIDSMART cameras as sensors for adaptive control, with a sensitivity fuel consumption characteristics in camera’s visual field. Traffic cases using reinforcement learning have been published achieved good results. Surveys from DOE national laboratories estimate that cost idling is 6 billion gallons wasted annually [Argonne National...
The train service efficiency in the Philippines is claimed to be one of lowest Asia. This can attributed constant down time especially Mass Rapid Transit 3 (MRT 3) that mainly caused by breakdowns. As a result, whole system slows down, and furthermore increases wait time. In line with this, Philippine government offered an alternative along EDSA MRT, this known as Carousel which makes use dedicated lane for buses throughout EDSA. Although alleviated some foot traffic MRT 3, there are things...
Structural health monitoring (SHM) was developed to provide diagnosis of the state civil structures, such as bridge and building, throughout their lifespan. The superstructure degrades over time mainly because continuous effect environmental factors including temperature, wind, humidity, traffic loading. Consequently, this study is concerned in reducing masking factors, specifically on temperature. Principal component analysis (PCA), a supervised machine learning algorithm, employed embedded...
Sensors are beneficial for observing the environment and using observed data to form conclusions responses. With road accidents being a concerning problem in this country, shows need making Public Road Monitoring System reduce road-related have better surveillance of public roads. This study aims create system with set sensors that can help drivers monitor A monitoring tool receives sensor transmits relevant drivers. The ESP-32 CAM module OV2460 model, temperature sensor, gas sensor. Haar...
This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; energy accurate values for strongly unsteady driving profiles; sparse Lagrangian controls via automated vehicles, focus on that can be executed existing technology such as adaptive cruise control systems. serves key building block in developing strategies human-in-the-loop flow smoothing real highways. In this contribution, we outline the fundamental merits...