http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Development of IGZO TFTs and Their Applications to Next-Generation Flat-Panel Displays
Hsieh, Hsing-Hung,Lu, Hsiung-Hsing,Ting, Hung-Che,Chuang, Ching-Sang,Chen, Chia-Yu,Lin, Yusin The Korean Infomation Display Society 2010 Journal of information display Vol.11 No.4
Organic light-emitting devices (OLEDs) have shown superior characteristics and are expected to dominate the nextgeneration flat-panel displays. Active-matrix organic light-emitting diode (AMOLED) displays, however, have stringent demands on the performance of the backplane. In this paper, the development of thin-film transistors (TFTs) based on indium gallium zinc oxide (IGZO) on both Gen 1 and 6 glasses, and their decent characteristics, which meet the AMOLED requirements, are shown. Further, several display prototypes (e.g., 2.4" AMOLED, 2.4" transparent AMOLED, and 32" AMLCD) using IGZO TFTs are demonstrated to confirm that they can indeed be strong candidates for the next-generation TFT technology not only of AMOLED but also of AMLCD (active-matrix liquid crystal display).
Automatic Fish Species Identification using Convolutional Neural Networks
( Yi-chin Lu ),( Ching-lu Hsieh ),( Yan-fu Kuo ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Fish is a worldwide major food source. In recent years, overfishing has become a serious problem. Overfishing exhausts fish resources, endangers some fish species, and also threatens the entire marine food chain. Hence, organizations put regulations to prevent overfishing. Typically, the species of the fish caught are recorded and reported by ocean observers. However, the manual reporting method is laborious and time-consuming. This study proposed to recognize fish species from images automatically using deep convolutional neural networks (CNN). A first deep CNN was used to identify fish types (e.g., tuna, marlin, shark, and other). A second deep CNN was used to distinguish species of tuna fish, including Thunnus alalunga (Albacore), Thunnus obesus (Bigeye tuna), Thunnus albacares (Yellowfin tuna). A third deep CNN was used to determine the species of marlin fish, including Makaira nigricans (Atlantic blue marlin), Istiophorus platypterus (Indo-Pacific sailfish), Xiphias gladius (Swordfish). Each deep CNN was a fine-tuned VGG-16 model. The experimental results showed that the proposed method reached an average accuracy of 97.9%.
Water spray heat transfer through a piezoelectric atomizer with a single-hole micronozzle
Shou-Shing Hsieh,Ching-Feng Huang,Yung-Ming Lu 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.8
We report an experimental study on the flow and heat transfer for a single microhole of water spray impingement on an indium tin oxide (ITO) heating plate using a piezoelectric atomizer. A microhole of d j = 35 µm was used and tested with a volumetric flow rate of 0.22 cm 3 /min for three different spray heights of 10, 20 and 30 mm and five heater initial temperatures of 25 o C, 50 o C, 100 o C, 150 o C, and 200 o C. Through the optical measuring techniques of the microparticle image velocimetry (µPIV) as well as interferometric particle imaging (IPI) and micro laser-induced fluorescence (µLIF), the velocity field, such as spray centerline velocity, droplet impact velocity and impact crater diameter, including impinged liquid film thickness and heat transfer performance (CHF) can be measured and calculated. The effects of the spray height and initial heater temperature on the flow and thermal characteristics are presented and discussed herein. The experimental results show that both the spray centerline velocity and spray droplet impact velocity were significantly influenced by the initial surface temperature as well as by the spray height. As a result, the cooling performance would be, in turn, affected by the aforesaid two parameters.
Development of IGZO TFTs and Their Applications to Next-Generation Flat-Panel Displays
Hsing-Hung Hsieh,Hsiung-Hsing Lu,Hung-Che Ting,Ching-Sang Chuang,Chia-Yu Chen,Yusin Lin 한국정보디스플레이학회 2010 Journal of information display Vol.11 No.4
Organic light-emitting devices (OLEDs) have shown superior characteristics and are expected to dominate the nextgeneration flat-panel displays. Active-matrix organic light-emitting diode (AMOLED) displays, however, have stringent demands on the performance of the backplane. In this paper, the development of thin-film transistors (TFTs) based on indium gallium zinc oxide (IGZO) on both Gen 1 and 6 glasses, and their decent characteristics, which meet the AMOLED requirements,are shown. Further, several display prototypes (e.g., 2.4” AMOLED, 2.4” transparent AMOLED, and 32” AMLCD) using IGZO TFTs are demonstrated to confirm that they can indeed be strong candidates for the next-generation TFT technology not only of AMOLED but also of AMLCD (active-matrix liquid crystal display)
( Chi-hsuan Tseng ),( Ching-lu Hsieh ),( Yan-fu Kuo ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Fish body length is considered as an important index for resource management. Many organizations put restrictions on the size of caught fish that can be retained. In conservation ecology, fish body length is also used as an indicator for determining the sexual maturity. Conventionally, fish body length was measured manually using rulers or tape measures. Manual methods are, however, time consuming, labor intensive, imprecise and subjective. This study proposed a method to automatically measure fish body length from images with complex background. In the approach, a convolutional neural network classifier was first developed to detect fish head, fish caudal, and color plate in an image. Pixel to distance ratio was then calculated using the known length (25cm) of the color plate. Next, fish body length was estimated as the distance between the fish head and caudal. The approach reached an accuracy of 95.53% for fish body length estimation.
( Jhen-jia Guo ),( Ching-lu Hsieh ),( Ming-hung Chu ),( Chia-sheng Chen ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Hay quality is an important factor that affects yield and quality of animal products. It also influences its market price. Therefore, it is crucial to have quantitative value on hay quality. Conventionally hay quality is judged manually by its appearance, smell, and chemical composition that needs tedious laboratory analysis. Spectroscopy in near infrared, digital image technique, and electronic smell senor are techniques that have been broadly studied in agricultural field. They contain many advantages, such as, simple preparation for samples, non-destructive on samples, and quick detection. This study applied these three techniques in hay quality evaluation. Seventy Pangola hay samples were randomly collected from Kenting, a southern town in Taiwan. Each sample was scanned by a monochrometer (microPHAZER) to record its reflective spectrum at 1600~2400 nm. Its digital color image was taken by a commercial camera in a small chamber after a calibration process was performed. And the response curve of electric resistance change detected by three SiO<sub>2</sub> gas sensors of MQ5, TGS800, and TGS 822 were recorded for 15 minutes. These records were used to calibrate a prediction/classification model for hay quality evaluation. Among these sample data, 2/3 of them were used as calibration set while the rest were used as test set. For spectroscopy to predict composition, PLSR (Partial least square regression) and MLR (Multiple linear regression) models were tested to predict CP (Crude protein), NDF (Neutral detergent fiber) and ADF (Acid detergent fiber). Results showed the best model was found at PLSR that had correlation coefficient (R) on prediction and measurement on test set of 0.89, 0.80, and 0.71 for CP, NDF and ADF respectively and with RMSEP (root mean squared error of prediction) value of 1.04, 1.34, and 2.30. For digital image, expert score on each sample was calibrated with LDA (linear discriminant analysis) model and 79 features extracted from image were used. Results indicated that two groups classification accuracy was 100% in color for test set. For smell detection, four features were extracted from the response curve and LDA for two groups was tested. The classification accuracy was about 87% in test set. The study developed a GUI (Graphic user interface) to integrate these three quality evaluations for field application. In terms of contribution, this study developed a hay quality evaluation system that offers quick and nondestructive method. The system is portable and can be carried and operated in field.
Lai Ying-Chieh,Hsieh Ching-Yi,Juan Yu-Hsiang,Lu Kuan-Ying,Lee Hsien-Ju,Ng Shu-Hang,Wan Yung-Liang,Lin Gigin 대한영상의학회 2024 Korean Journal of Radiology Vol.25 No.5
Hyperpolarized (HP) carbon-13 (13C) MRI represents an innovative approach for noninvasive, real-time assessment of dynamic metabolic flux, with potential integration into routine clinical MRI. The use of [1-13C]pyruvate as a probe and its conversion to [1-13C]lactate constitute an extensively explored metabolic pathway. This review comprehensively outlines the establishment of HP 13C-MRI, covering multidisciplinary team collaboration, hardware prerequisites, probe preparation, hyperpolarization techniques, imaging acquisition, and data analysis. This article discusses the clinical applications of HP 13C-MRI across various anatomical domains, including the brain, heart, skeletal muscle, breast, liver, kidney, pancreas, and prostate. Each section highlights the specific applications and findings pertinent to these regions, emphasizing the potential versatility of HP 13C-MRI in diverse clinical contexts. This review serves as a comprehensive update, bridging technical aspects with clinical applications and offering insights into the ongoing advancements in HP 13C-MRI.