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