教師著作
Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31266
Browse
Item 5052-H32鋁合金電阻點銲拉剪強度之韋伯可靠度分析(2002-10-18) 張宏圖; 程金保; 呂傳盛Item 5052鋁合金薄板應用脈衝式Nd:YAG雷射微銲接之接合性質研究(2003-10-17) 蔡偉崙; 高弘杰; 簡永泰; 程金保Item 6061鋁合金板材電阻點銲之接合性質與可靠度研究(2001-11-01) 黃國聰; 程金保; 呂傳盛Item AA2091鋁鋰合金摩擦攪拌銲接接合性質之研究(2003-10-17) 田潮訓; 程金保; 呂傳盛Item Accurate and cost-effective MTF measurement system for lens modules of digital cameras(SPIE, 2007-01-30) Chang, Gao-Wei; Liao, Chia-Cheng; Yeh, Zong-MuFor many years, the widening use of digital imaging products, e.g., digital cameras, has given rise to much attention in the market of consumer electronics. However, it is important to measure and enhance the imaging performance of the digital ones, compared to that of conventional cameras (with photographic films). For example, the effect of diffraction arising from the miniaturization of the optical modules tends to decrease the image resolution. As a figure of merit, modulation transfer function (MTF) has been broadly employed to estimate the image quality. Therefore, the objective of this paper is to design and implement an accurate and cost-effective MTF measurement system for the digital camera. Once the MTF of the sensor array is provided, that of the optical module can be then obtained. In this approach, a spatial light modulator (SLM) is employed to modulate the spatial frequency of light emitted from the light-source. The modulated light going through the camera under test is consecutively detected by the sensors. The corresponding images formed from the camera are acquired by a computer and then, they are processed by an algorithm for computing the MTF. Finally, through the investigation on the measurement accuracy from various methods, such as from bar-target and spread-function methods, it appears that our approach gives quite satisfactory results.Item Accurate Spectral Response Measurement System for Digital Color Camera(Society of Photo-optical Instrumentation Engineers (SPIE), 2007-01-30) Chang, Gao-Wei; Yeh, Zong-MuIn imaging systems, color plays an essential role in conveying and recording visual information from the real world. To faithfully represent colors acquired from digital cameras, a spectral responsivity measurement system is proposed for those devices in this paper. For estimating spectral responsivities of digital color cameras, a filter-based optical system is designed with proper filter selections. Since the spectral filters primarily prescribe the optical characteristics of the system, the filter consideration is important to the optical design of the system with the presence of noise. A theoretical basis is presented to confirm that sophisticated filter selections can make this system as insensitive to noise as possible. Also, we propose a filter selection method based on the orthogonal-triangular (QR) decomposition with column pivoting (QRCP). To investigate the noise effects, we assess the estimation errors between the actual and estimated spectral responsivities, with the different signal-to-noise ratio (SNR) levels of an eight-bit/channel camera. To demonstrate the effectiveness of this approach, the experimental results from the filter-based optical system with the spectral filters selected from the QRCP-based method is much less sensitive to noise than those with other filters from different selections. It is found that the measurement accuracy is fairly satisfactory.Item Adaptive Fuzzy Logic controller(1995-12-07) Yeh, Zong-MuItem Adaptive Multivariable Fuzzy Logic controller(Elsevier, 1997-02-16) Yeh, Zong-MuThis paper presents a systematic methodology to the design of a multivariable fuzzy logic controller (MFLC) for large-scale nonlinear systems. A new general method which is based on a performance index of sliding motion is used to generate a fuzzy control rule base. Reducible input variables obtained from sliding motion are adopted as input variable of the fuzzy controller and the output scale factors of the MFLC are tuned by the switching variable. Thus, the determination of the input/output scale factors becomes easier and the system performance is significantly improved. The simulation results of a Puma 560 system and a two-inverted pendulum system demonstrate that the attractive features of this proposed approach include a smaller residual error and robustness against nonlinear interactions.Item An Adaptive Neural Net controller Design(Institute of Electrical and Electronics Engineers (IEEE), 1994-06-27) Yeh, Zong-MuThis paper presents a stability method which is based on the stability condition of sliding mode control to derive the learning law for neural net controllers (NNC) to ensure the convergence of the training algorithm and the stability of the closed-loop system. The proposed method is an online approach of a multilayered neural network which does not require any information about the system dynamics, and the lengthy training of the controller can be eliminated by using the proposed approach. The simulation results of a nonlinear system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions of an interconnected system or external disturbances.Item An auto-tuning fuzzy sliding mode controller for nonlinear systems(1993-01-01) Yeh, Zong-MuItem A Bi-tree Multi-stage Inference Fuzzy Control System(Institute of Electrical and Electronics Engineers (IEEE), 1996-12-11) Yeh, Zong-Mu; Chen, Hung-PinThis paper presents a methodology for the design of a binary tree multi-stage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for bi-tree multi-stage inference. This proposed method can be used to reduce the complexity of fuzzy rule sets. The new method has been applied to control a truck-and-two-trailer system. The simulation studies showed that the proposed method is feasible.Item Characteristics of In-Ge-Sb-Sn-Te Thin Film Used for Phase Change Optical Recording Media(Trans Tech Publications, 2011-02-01) Ou, Sin-Liang; Cheng, Chin-Pao; Yeh, Chin-Yen; Chung, Chung-Jen; Kao, Kuo-Sheng; Lin, Re-ChingThe In10GexSb52-xSn23Te15 films (x = 2, 5, and 9) were deposited on nature oxidized silicon wafer and glass substrate by dc magnetron sputtering. The ZnS-SiO2 films were used as protective layers. The thickness of the In10GexSb52-xSn23Te15 film is 20 nm. We have studied the crystallization kinetics, structural and optical properties of the In10GexSb52-xSn23Te15 (x = 2, 5, and 9) recording films. It is found that the crystallization temperature of the film is increased with increasing Ge content. The optical contrasts of In10GexSb52-xSn23Te15 films with x = 2~9 are all higher than 30 % at a wavelength of 405 nm, showing that the films are suitable for blue laser optical recording media application.Item Comparison of Planar and 3D Electrode Designs for Cell Lysis by Electroporation(2006-01-15) Lu, Kuan-Ying; Lo, Ying-Jie; Chen, Ken-Chao; Lin, Chien-Ming; Wo, Andrew M.; Yang, Chii-RongItem Contrast compensation by fuzzy classification and image illumination analysis for back-lit and front-lit color face images.(Institute of Electrical and Electronics Engineers (IEEE), 2010-08-01) Tsai, Chun-Ming; Yeh, Zong-MuConventional contrast enhancement methods have two shortcomings. First, most of them do not produce satisfactory enhancement results for face images with back-lit or front-lit. Second, most of them need transformation functions and parameters which are specified manually. Thus, this paper proposes an automatic and parameter-free contrast compensation algorithm for skin detection in color face images. This method includes following steps: First, RGB color space is transformed to YIQ color space. Second, fuzzy logic is used to classify the color images into three categories: back-lit, normal-lit, and front-lit. Third, image illumination analysis is used to analyze the image distribution. Fourth, the input image is compensated by piecewise linear based enhancement method. Finally, the compensation image is transformed back to RGB color space. Our experiments included various color and gray face images. Experiment results show that the performance of the proposed compensation method is better than other available methods in skin detection and visual perception measurements.Item Contrast Compensation for Back-lit and Front-lit Color Face Image via Fuzzy Logic Classification and Image Illumination Analysis(Institute of Electrical and Electronics Engineers (IEEE), 2008-07-12) Tsai, Chun-Ming; Yeh, Zong-Mu; Wang, Yuan-FangConventional contrast enhancement methods have two shortcomings. First, most of them do not produce satisfactory enhancement results for face images with back-lit or front-lit. Second, most of them need transformation functions and parameters which are specified manually. Thus, this paper proposes an automatic and parameter-free contrast compensation algorithm for color face images. This method includes: RGB color space is transformed to YIQ color space. Fuzzy logic is used to classify the color images into back-lit, normal-lit, and front-lit categories. Image illumination analysis is used to analyze the image distribution. The input image is compensated by piecewise linear based compensation method. Finally, the compensation image is transformed back to RGB color space. This novel compensation method is automatic and parameter-free. Our experiments included back-lit and front-lit images. Experiment results show that the performance of the proposed method is better than other available methods in visual perception measurements.Item Contrast compensation for back-lit and front-lit color face images via fuzzy logic classification and image illumination analysis(2008-07-12) Tsai, Chun-Ming; Yeh, Zong-Mu; Wang, Yuan-FangConventional contrast enhancement methods have two shortcomings. First, most of them do not produce satisfactory enhancement results for face images with back-lit or front-lit. Second, most of them need transformation functions and parameters which are specified manually. Thus, this paper proposes an automatic and parameter-free contrast compensation algorithm for color face images. This method includes: RGB color space is transformed to YIQ color space. Fuzzy logic is used to classify the color images into back-lit, normal-lit, and front-lit categories. Image illumination analysis is used to analyze the image distribution. The input image is compensated by piecewise linear based compensation method. Finally, the compensation image is transformed back to RGB color space. This novel compensation method is automatic and parameter-free. Our experiments included back-lit and front-lit images. Experiment results show that the performance of the proposed method is better than other available methods in visual perception measurements.Item Contrast Enhancement by Automatic and Parameter-Free Piecewise Linear Transformation for Color Images(IEEE Consumer Electronics Society, 2008-05-01) Tsai, Chun-Ming; Yeh, Zong-MuConventional contrast enhancement methods have four shortcomings. First, most of them need transformation functions and parameters which are specified manually. Second, most of them are application-oriented methods. Third, most of them are performed on gray level images. Fourth, the histogram equalization (HE) based enhancement methods use non-linear transform function. Thus, this paper proposes an automatic and parameter-free contrast enhancement algorithm for color images. This method includes following steps: First, RGB color space is transformed to HSV color space. Second, image content analysis is used to analyze the image illumination distribution. Third, the original image is enhanced by piecewise linear based enhancement method. Finally, the enhancement image is transformed back to RGB color space. This novel enhancement is automatic and parameter-free. Our experiments included various color images with low and high contrast. Experiment results show that the performance of the proposed method is better than histogram equalization (HE) and its six variations in non-over enhancement and natural clearly revealed. Moreover, the proposed algorithm can be run on an embedded environment (such as mobile device, digital camera, or other consumer products) and processed in real-time system due to its simplicity and efficiently.Item A Cross-Coupled Fuzzy controller for Biaxis Servomechanism Control(Elsevier, 1998-08-01) Yeh, Zong-MuThis paper presents a methodology to design a cross-coupled bistage fuzzy controller for cross-coupled servomechanisms. In the bistage fuzzy inference, the consequence in the first stage is passed to the second stage as fact and the consequence of the second stage is used as the control input. The proposed approach is used to reduce the complexity of the fuzzy system. A more systematic method which is based on a performance index of the fuzzy control system is developed to generate bistage fuzzy rule sets. To show the effectiveness, the proposed approach is applied to control a cross-coupled biaxial servomechanism system which is difficult to obtain by an accurate nonlinear mathematical model in the case of a circular trajectory. Simulation results have shown that the desired contouring the accuracy can be achieved, and the proposed approach outperforms the uncoupled approaches.Item Cross-Coupled Fuzzy Logic Control for Biaxial Servomechanisms(Institute of Electrical and Electronics Engineers (IEEE), 1996-09-08) Yeh, Zong-Mu; Tarng, Y.S.; Lin, Y.S.This paper presents a design and implementation case study that focuses on contour of a biaxial CNC machine tools. However, it is difficult to obtain an accurate nonlinear mathematical model of cross-coupled multi-axis machine tools. In this paper we investigate an alternative to conventional approaches where we employ cross-coupled fuzzy logic controllers for improving contouring accuracy of multi-axis CNC machine tools. A new fuzzy rule-generated method which is based on a performance index of the contour error obtained from an online estimation algorithm is proposed. Experimental results have shown that the desired contouring accuracy can be achieved, and the proposed approach outperforms over uncoupled approaches. In conventional control, increasing contour feedrate for productivity may result in larger contour errors. However, the experimental results have shown that the performance of the proposed approach is still quite good with the increasing contour feedrate.