Research Progress and Objectives
Wen-Ren YangAssociate Professor
Department of Electrical Engineering National Changhua University of Education
Changhua, Taiwan
• Methodologies: Wavelet & Short-Time Fourier Transforms are used for feature extraction and neural network is used for prediction
• Hardware: FPGA & MCU • Industrial Internet-of-Things ApplicationsPower quality analysis and vibration monitoring• Agricultural Internet-of-Things ApplicationsMicrobiology system monitoring
Signal Processing and Neural Network for Industrial Internet-of-Things Applications
Signal Processing and Neural Network for Agricultural Internet-of-Things Applications
Laser Scanning Microcrack Detection by Signal Processing (DWT) & Artificial Intelligence (Neural Network)
0 200 400 600 800 1000 1200 1400 16003.8
3.9
4
4.1
4.2
4.3
4.4
4.5
4.6
4.7x 106
Number of Points
Arb
itrar
y M
agni
tude
200 400 600 800 1000 1200 1400
2.15
2.2
2.25
2.3
2.35
2.4
2.45
2.5
2.55
2.6
2.65x 108
Number of Points
Arb
itrar
y M
agni
tude
STFT Filterbank Outputs
Discrete Wavelet Transform Radar Cross Section (DWT-RCS) for Microcrack Analysis
Agri IoT & IIoT interoperated with Smart Grid