A5050969783- ZnO doping and properties
- Thin-Film Transistor Technologies
- Gas Sensing Nanomaterials and Sensors
- Copper-based nanomaterials and applications
- Nanomaterials and Printing Technologies
- Ga2O3 and related materials
- Silicon and Solar Cell Technologies
- Electronic Packaging and Soldering Technologies
- Advanced Neural Network Applications
- Photovoltaic System Optimization Techniques
- Advanced Sensor and Energy Harvesting Materials
- Solidification and crystal growth phenomena
- Industrial Vision Systems and Defect Detection
- Semiconductor materials and devices
- Gold and Silver Nanoparticles Synthesis and Applications
- Fluid Dynamics and Thin Films
- Calibration and Measurement Techniques
- Electronic and Structural Properties of Oxides
- Transition Metal Oxide Nanomaterials
- Ferroelectric and Piezoelectric Materials
- Microwave Dielectric Ceramics Synthesis
- Advanced Battery Technologies Research
- 3D IC and TSV technologies
- Photorefractive and Nonlinear Optics
- Organic Light-Emitting Diodes Research
Southern Taiwan University of Science and Technology
2014-2024
National Taiwan University
2011-2014
National Changhua University of Education
2010
Wuhan University of Technology
2009
University of Freiburg
2001-2006
National Tsing Hua University
1988
Solar cells may possess defects during the manufacturing process in photovoltaic (PV) industries. To precisely evaluate effectiveness of solar PV modules, are required to be identified. Conventional defect inspection industries mainly depends on manual by highly skilled inspectors, which still give inconsistent, subjective identification results. In order automatize visual process, an automatic cell segmentation technique and a convolutional neural network (CNN)-based detection system with...
Silicon-based solar applications have tended towards the use of large, thin cells. However, an increased loss materials occurs due to a high rate destruction during soldering and packaging processes. In this study, effects presence cracks on thermal stress intensity factor cells were explored for different aspect ratios rods using established finite element method. It was found that residual in cell concentrated near ends rods, which coincided with typical positions where breakage occur...
While deep convolutional neural networks (CNNs) have recently made large advances in AI, the need of datasets for CNN learning is still a barrier to many industrial applications where only limited data samples can be offered system developments due confidential issues. We thus propose an approach multi-scale image augmentation and classification training CNNs from small dataset surface defect detection on cylindrical lithium-ion batteries. In proposed Lithium-ion battery Surface Defect...
In this paper, a resistance type gas sensor which consists of tungsten oxide (PEDOT:PSS), [Formula: see text] particles and silver finger electrodes was prepared on glass as well (PET) substrates. The structural surface morphological properties the sensors were studied using (XRD), UV-visible, (FTIR), (FE-SEM) 3D optical microscopy. influence fabrication parameters sensibility for nitrogen dioxide detection is discussed. Experimental results reveal that with content 2 g/mL shows highest...
Computer imaging of electroluminescence (EL) has been successfully applied to solar cell inspection in recent years, as EL image intensities reflect the efficiency levels and/or defects sc-Si and mc-Si cells. In this paper, we propose a novel computational scheme for pseudo colorization images highlight defect regions cells human inspection. Specifically, given template color labels on its regions, impose colors other grayscale images, with respect different types structures, by feature...