The Experts below are selected from a list of 34620 Experts worldwide ranked by ideXlab platform
Te Chih Chen - One of the best experts on this subject based on the ideXlab platform.
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Degradation of Low Temperature Polycrystalline Silicon Thin Film Transistors under Negative Bias Temperature Instability Stress with Illumination Effect
Journal of The Electrochemical Society, 2010Co-Authors: Chia Sheng Lin, Ting-chang Chang, Ya Hsiang Tai, Ying Chung Chen, Wei Che Hsu, Shih Ching Chen, Fu Yen Jian, Te Chih ChenAbstract:This work investigates negative bias temperature instability (NBTI) in low temperature polycrystalline silicon thin film transistors (LTPS TFTs) in a darkened and in an illuminated environment of different light intensities. Experimental results reveal that the generations of interface state density (N it ) are identical under various illuminated intensity NBTI stresses. Nevertheless, the degradation of the grain boundary trap (N trap ) under Illumination was more significant than that for the darkened environment, with degradation increasing as Illumination intensity increases. This phenomenon is mainly caused by the extra number of holes generated during the illuminated NBTI stress. The increased N trap degradation leads to an increase in the darkened environment leakage current. This indicates that more traps are generated in the drain junction region than from carrier tunneling via the trap, resulting in leakage current. Conversely, an increase in N trap degradation results in a decrease in the photoleakage current. This indicates that the number of recombination centers increases in the poly-Si bulk, affecting photosensitivity in LTPS TFTs.
Xiaodong Li - One of the best experts on this subject based on the ideXlab platform.
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A method of single reference image based scene relighting.
MethodsX, 2018Co-Authors: Yannan Li, Xiaokun Zhang, Ri Xu, Xiaodong LiAbstract:Abstract Image relighting is to change the Illumination of an image to a target Illumination Effect without known the original scene geometry, material information and Illumination condition. We propose a novel outdoor scene relighting method, which needs only a single reference image and is based on material constrained layer decomposition. Firstly, the material map is extracted from the input image. Then, the reference image is warped to the input image through patch match based image warping. Lastly, the input image is relit using material constrained layer decomposition. The experimental results reveal that our method can produce similar Illumination Effect as that of the reference image on the input image using only a single reference image.
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Scene Relighting Using a Single Reference Image Through Material Constrained Layer Decomposition
Studies in Computational Intelligence, 2017Co-Authors: Yannan Li, Yulu Tian, Xiaodong Li, Quan Zhou, Shiming GeAbstract:Image relighting is to change the Illumination of an image to a target Illumination Effect without known the original scene geometry, material information and Illumination condition. We propose a novel outdoor scene relighting method, which needs only a single reference image and is based on material constrained layer decomposition. Firstly, the material map is extracted from the input image. Then, the reference image is warped to the input image through patch match based image warping. Lastly, the input image is relighted using material constrained layer decomposition. The experimental results reveal that our method can produce similar Illumination Effect as that of the reference image on the input image using only a single reference image.
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Single Reference Image based Scene Relighting via Material Guided Filtering
arXiv: Computer Vision and Pattern Recognition, 2017Co-Authors: Yannan Li, Chaoen Xiao, Xianggang Jiang, Xiaodong Li, Shiming GeAbstract:Image relighting is to change the Illumination of an image to a target Illumination Effect without known the original scene geometry, material information and Illumination condition. We propose a novel outdoor scene relighting method, which needs only a single reference image and is based on material constrained layer decomposition. Firstly, the material map is extracted from the input image. Then, the reference image is warped to the input image through patch match based image warping. Lastly, the input image is relit using material constrained layer decomposition. The experimental results reveal that our method can produce similar Illumination Effect as that of the reference image on the input image using only a single reference image.
Yannan Li - One of the best experts on this subject based on the ideXlab platform.
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A method of single reference image based scene relighting.
MethodsX, 2018Co-Authors: Yannan Li, Xiaokun Zhang, Ri Xu, Xiaodong LiAbstract:Abstract Image relighting is to change the Illumination of an image to a target Illumination Effect without known the original scene geometry, material information and Illumination condition. We propose a novel outdoor scene relighting method, which needs only a single reference image and is based on material constrained layer decomposition. Firstly, the material map is extracted from the input image. Then, the reference image is warped to the input image through patch match based image warping. Lastly, the input image is relit using material constrained layer decomposition. The experimental results reveal that our method can produce similar Illumination Effect as that of the reference image on the input image using only a single reference image.
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Scene Relighting Using a Single Reference Image Through Material Constrained Layer Decomposition
Studies in Computational Intelligence, 2017Co-Authors: Yannan Li, Yulu Tian, Xiaodong Li, Quan Zhou, Shiming GeAbstract:Image relighting is to change the Illumination of an image to a target Illumination Effect without known the original scene geometry, material information and Illumination condition. We propose a novel outdoor scene relighting method, which needs only a single reference image and is based on material constrained layer decomposition. Firstly, the material map is extracted from the input image. Then, the reference image is warped to the input image through patch match based image warping. Lastly, the input image is relighted using material constrained layer decomposition. The experimental results reveal that our method can produce similar Illumination Effect as that of the reference image on the input image using only a single reference image.
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Single Reference Image based Scene Relighting via Material Guided Filtering
arXiv: Computer Vision and Pattern Recognition, 2017Co-Authors: Yannan Li, Chaoen Xiao, Xianggang Jiang, Xiaodong Li, Shiming GeAbstract:Image relighting is to change the Illumination of an image to a target Illumination Effect without known the original scene geometry, material information and Illumination condition. We propose a novel outdoor scene relighting method, which needs only a single reference image and is based on material constrained layer decomposition. Firstly, the material map is extracted from the input image. Then, the reference image is warped to the input image through patch match based image warping. Lastly, the input image is relit using material constrained layer decomposition. The experimental results reveal that our method can produce similar Illumination Effect as that of the reference image on the input image using only a single reference image.
Ting-chang Chang - One of the best experts on this subject based on the ideXlab platform.
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Illumination Effect on Bipolar Switching Properties of Gd:SiO2 RRAM Devices Using Transparent Indium Tin Oxide Electrode.
Nanoscale research letters, 2016Co-Authors: Kai-huang Chen, Kuan-chang Chang, Ting-chang Chang, Tsung-ming Tsai, Shu-ping Liang, Tai-fa Young, Yong-en Syu, Simon M. SzeAbstract:To discuss the optoelectronic Effect on resistive random access memory (RRAM) devices, the bipolar switching properties and electron-hole pair generation behavior in the transparent indium tin oxide (ITO) electrode of Gd:SiO2 thin films under the ultraviolet (λ = 400 nm) and red-light (λ = 770 nm) Illumination for high resistance state (HRS)/low resistance state (LRS) was observed and investigated. In dark environment, the Gd:SiO2 RRAM devices exhibited the ohmic conduction mechanism for LRS, exhibited the Schottky emission conduction and Poole-Frankel conduction mechanism for HRS. For light Illumination Effect, the operation current of the Gd:SiO2 RRAM devices for HRS/LRS was slightly increased. Finally, the electron-hole pair transport mechanism, switching conduction diagram, and energy band of the RRAM devices will be clearly demonstrated and explained.
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Degradation of Low Temperature Polycrystalline Silicon Thin Film Transistors under Negative Bias Temperature Instability Stress with Illumination Effect
Journal of The Electrochemical Society, 2010Co-Authors: Chia Sheng Lin, Ting-chang Chang, Ya Hsiang Tai, Ying Chung Chen, Wei Che Hsu, Shih Ching Chen, Fu Yen Jian, Te Chih ChenAbstract:This work investigates negative bias temperature instability (NBTI) in low temperature polycrystalline silicon thin film transistors (LTPS TFTs) in a darkened and in an illuminated environment of different light intensities. Experimental results reveal that the generations of interface state density (N it ) are identical under various illuminated intensity NBTI stresses. Nevertheless, the degradation of the grain boundary trap (N trap ) under Illumination was more significant than that for the darkened environment, with degradation increasing as Illumination intensity increases. This phenomenon is mainly caused by the extra number of holes generated during the illuminated NBTI stress. The increased N trap degradation leads to an increase in the darkened environment leakage current. This indicates that more traps are generated in the drain junction region than from carrier tunneling via the trap, resulting in leakage current. Conversely, an increase in N trap degradation results in a decrease in the photoleakage current. This indicates that the number of recombination centers increases in the poly-Si bulk, affecting photosensitivity in LTPS TFTs.
Fahrettin Yakuphanoglu - One of the best experts on this subject based on the ideXlab platform.
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Numerical studies of surface potential, mobility and Seebeck coefficient of organic thin film transistor based on 2,3 benzanthracene: Light Effect
Synthetic Metals, 2017Co-Authors: A. Jouili, S. Mansouri, Abdullah G. Al-sehemi, Ahmed A. Al-ghamdi, L. El Mir, Fahrettin YakuphanogluAbstract:Abstract The white light Illumination Effect has a large influence on charge carrier transport in organic thin-film transistors (OTFTs). In this work, an analytical model is presented for OTFTs using the variable range hopping (VRH) theory to discuss the Gaussian DOS distribution, the surface potential, the mobility and the Seebeck coefficient of the 2,3 benzanthracene thin-film transistor under dark and white light Illuminations. This model explains the influence of Illumination on the carrier density, the Gaussian DOS distribution Effectively on the surface potential and the Seebeck coefficient. The White light Illumination Effect can remarkably enhance the surface potential at high gate voltages, as well as reduce the energetic disorder dependence of the Seebeck coefficient. Finally, according to the variable range hopping (VRH) model an analytical model has been also developed to simulate the transfer characteristics of organic phototransistor based on 2,3 benzanthracene and the obtained theoretical results show an excellent agreement with the experimental data.
