Funded Projects
NSTC
Grants from the National Science and Technology Council, technology programmes of the Ministry of Agriculture, and industry partnerships, carried through to validation in industry and in the field.
19grants
NSTC
- Agri & Livestock
NSTC2026–2027LLM · RAG
Multimodal imaging and AI-agent decision support for dairy cattle health risk early warning
Multimodal image analysis is combined with large language models and retrieval-augmented generation to build a precision-livestock decision system covering lameness detection, heat stress and calving alerts.
- PI
- Wen-Lin Chu
- Role
- Principal Investigator
- Award
- NT$ 1,350,000
- Grant no.
- NSTC 115（PD11507-0064）
- Systems & Control
NSTC2026–2027UAV
GPS-denied multi-UAV large-scale 3D terrain modeling and change detection
Inertial navigation, 3D LiDAR and SLAM are integrated for cooperative multi-UAV large-scale 3D point-cloud modelling and terrain change detection in GPS-denied environments.
- PI
- Bo-Lin Jian
- Role
- Co-Principal Investigator
- Award
- NT$ 8,500,000
- Grant no.
- NSTC 115（PB11508-2938）
- Outstanding Young ScholarSystems & Control
NSTC2025–2028Wake optimisation
Smart monitoring and wake optimization for onshore and offshore wind farm clusters using precision schlieren systems
Schlieren optics and intelligent control are used to raise wind-turbine efficiency: blade anomaly detection in year one, multi-turbine wake interaction and control strategy in year two, and a monitoring system built from particle image velocimetry and edge computing in year three.
- PI
- Bo-Lin Jian
- Role
- Principal Investigator
- Award
- NT$ 4,091,000
- Grant no.
- NSTC 114-2628-E-167-001-MY3
- Agri & Livestock
NSTC2025–2026Non-contact sensing
Postural image recognition for hoof health monitoring and early lameness detection in dairy cows
AI image recognition and multimodal data fusion model subtle gait changes for lameness detection, cross-validated against hoof trimmer and veterinary diagnoses and carried into a herd health management system.
- PI
- Wen-Lin Chu
- Role
- Co-Principal Investigator
- Award
- NT$ 1,420,000
- Grant no.
- NSTC 114-2313-B-005-050
- Poster awardPrecision Measurement
NSTC2024–2026Micro-pollutants
Precision schlieren optical system for non-contact micro-pollutant suspension capture and dynamic analysis
A Z-type schlieren system is optimised alongside new image processing methods to identify and classify airborne micro-pollutants, extending to thermal degradation experiments in water and AI predictive classification models.
- PI
- Bo-Lin Jian
- Role
- Principal Investigator
- Award
- NT$ 2,699,000
- Grant no.
- NSTC 113-2221-E-167-017-MY2
- Agri & Livestock
NSTC2024–2026Robotic arm
Cross-modal image recognition in automated equipment for detecting Pachira aquatica diseases
A two-year build of an automated conveyor, a UR robotic-arm loading system and four visible-light disease recognition units, extended in year two with thermal imaging, humidity sensing and a real-time monitoring interface.
- PI
- Wen-Lin Chu
- Role
- Principal Investigator
- Award
- NT$ 3,759,000
- Grant no.
- NSTC 113-2313-B-005-039-MY2
- Biomedical Signals
NSTC2023–2024Multimodal
Human motion signals with sensors and infrared thermal images for training accuracy and intelligent analysis
Electromyography, inertial sensing, thermal imaging and high-speed video build a human motion database and correlation models, with a quantitative assessment interface for athletic training and rehabilitation outcome evaluation.
- PI
- Wen-Lin Chu
- Role
- Principal Investigator
- Award
- NT$ 980,000
- Grant no.
- NSTC 112-2221-E-005-099
- Imaging & Vision
NSTC2023–2024Autoencoder
Mutual causation of air convection and temperature-heterogeneous color images with autoencoder fusion and dehazing
The colour response of schlieren imaging under multidimensional colour filters is examined for its physical meaning, and autoencoders are used to develop image fusion and dehazing strategies.
- PI
- Bo-Lin Jian
- Role
- Principal Investigator
- Award
- NT$ 950,000
- Grant no.
- NSTC 112-2221-E-167-041
- Imaging & Vision
NSTC2022–2023Epidemic control engineering
Real-time visualization of airflow through masks based on particle background color schlieren
A dynamic colour schlieren system measures how face masks alter respiratory airflow, with robust principal component analysis and particle image algorithms tracking the flow, validated against thermodynamic measurement and anemometry.
- PI
- Bo-Lin Jian
- Role
- Principal Investigator
- Award
- NT$ 1,345,000
- Grant no.
- MOST 111-2221-E-167-026
- Precision Measurement
NSTC2022–2023Tool wear
Intelligent inspection of milling cutter wear based on vibration and acoustic signal visualization
Acoustic and vibration signals are captured during machining alongside infrared thermography and high-speed video, producing graded data from pristine to fully worn tools for automated intelligent analysis.
- PI
- Wen-Lin Chu
- Role
- Principal Investigator
- Award
- NT$ 850,000
- Grant no.
- MOST 111-2221-E-005-093
- Imaging & Vision
NSTC2021–2022Low-rank sparse decomposition
Dynamic multi-modal image optimal fusion technology
Separation of static and dynamic information in image sequences, with automated registration and fusion under multimodal conditions, applied to night-time, heavy fog, backlit and occluded scenes.
- PI
- Bo-Lin Jian
- Role
- Principal Investigator
- Award
- NT$ 940,000
- Grant no.
- MOST 110-2221-E-167-017
- Systems & Control
NSTC2021–2022Chaotic systems
Grinding anomaly diagnosis and wheel-dressing monitoring based on Lyapunov exponents and machine learning
The maximum Lyapunov exponent is combined with extension neural networks and the Taguchi method to build a grinding anomaly diagnosis and wheel dressing monitoring system.
- PI
- Bo-Lin Jian
- Role
- Co-Principal Investigator
- Award
- NT$ 852,000
- Grant no.
- MOST 110-2221-E-167-019
- Biomedical Signals
NSTC2021–2022Quantitative indicators
Correlations between physiological signals and brain function in schizophrenia under concentration training
Physiological signals are used to build a quantifiable attention index, compared against clinical rating scales to reduce the inter-rater variance those scales carry.
- PI
- Wen-Lin Chu
- Role
- Principal Investigator
- Award
- NT$ 893,000
- Grant no.
- MOST 110-2221-E-167-009
- Precision Measurement
NSTC2020–2021Weak-signal amplification
Intelligent algorithms on real-time dynamic thermal imaging for precise milling recognition
Real-time thermography with causal decomposition and spatiotemporal analysis is used to develop weak-signal amplification for precise identification of milling machine states.
- PI
- Bo-Lin Jian
- Role
- Principal Investigator
- Award
- NT$ 1,006,000
- Grant no.
- NSTC 109-2221-E-167-010
- IT Integration
NSTC2019–2020Smart manufacturing
Deep learning and cloud-secured intelligent production line: pneumatic gripper line (2/3)
- PI
- Bo-Lin Jian
- Role
- Co-Principal Investigator
- Award
- NT$ 8,000,000
- Grant no.
- NSTC 108-2218-E-194-013
- Systems & Control
NSTC2019–2021Industry-academia applied grant
Automatic loading/unloading system with UR robot arm and spherical CNC lathe
A UR robotic arm and machine vision are combined into an automated load and unload system for a spherical CNC lathe, covering kinematics and singularity analysis, workpiece recognition, fixture design and communication integration.
- PI
- Bo-Lin Jian
- Role
- Principal Investigator
- Award
- NT$ 620,000
- Grant no.
- NSTC 108-2622-E-167-019-CC3
- Precision Measurement
NSTC2019–2020Joint project across both universities
Intelligent functions for domestic lathe spindle peripherals (II)(2/2)
Spindle thermal displacement compensation and intelligent peripheral functions for domestically produced lathes, run jointly by both principal investigators.
- PI
- Wen-Lin Chu · Bo-Lin Jian
- Role
- Co-Principal Investigators (jointly held)
- Award
- NT$ 4,673,000
- Grant no.
- NSTC 108-2218-E-194-012
- Imaging & Vision
NSTC2019–2020Multi-focus fusion
Automated night vision goggle inspection based on intelligent image detection
- PI
- Bo-Lin Jian
- Role
- Principal Investigator
- Award
- NT$ 840,000
- Grant no.
- NSTC 108-2218-E-167-005
- Biomedical Signals
NSTC2019–2020Signal visualisation
Discrete wavelet transform and signal visualization for schizophrenia correlation study
Physiological signals and thermal imaging under emotional induction reduce the subjectivity of rating scales: discrete wavelet transform feature extraction in year one, time-frequency signal visualisation and convolutional recognition of thermal images in year two.
- PI
- Wen-Lin Chu
- Role
- Principal Investigator
- Award
- NT$ 848,000
- Grant no.
- NSTC 108（PB10809-0058）