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A Model Deformation Approach for 3D Reconstruction
Yung-Yang Chiang,Min-Liang Wang,Huei-Yung Lin,Pei-Yung Lee,Chin-Chen Chang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12
In this paper, we present a model deformation approach based on a visual hull technique for improving 3D reconstruction. The proposed approach combines the exquisite 3D model derived by active acquisition methods and the constraints from the rough 3D model derived by passive methods. We take the advantages of active and passive methods to obtain a 3D model with the better quality. The clustering method is adopted to segment 3D models into several sub-models and we then match the sub-models individually via an iterative closest point algorithm. Three testing 3D models are used for evaluating the proposed approach. The results demonstrate the feasibility of the proposed approach.
Yung-Chung Chen,Yu-Yang Su,Sheng-Huei Hsiao 한국섬유공학회 2019 Fibers and polymers Vol.20 No.9
A series of fluorinated poly(ether imide)s (PEIs) were prepared from asymmetry, bulky featured of 1,2-bis(3,4-dicarboxyphenoxy)-4-tert-butylbenzene dianhydride and various trifluoromethyl-based bis(ether amine)s via conventionalthermal (H) or chemical (C) imidization. All fluorinated PEIs exhibited flexible, good mechanical properties and excellentsolubility in a variety of organic solvents. In addition, the chemical imidization based PEI thin films showed cut-offwavelengths of UV-vis absorptions below 380 nm with very low yellowness index (b* < 5.5). They also exhibited highthermal stability with the 10 % weight loss temperature from 486 to 550 oC of in nitrogen or air atmosphere. Compared withthe corresponding PEIs based on non-fluorinated bis(ether amine)s, fluorinated PEIs not only showed higher opticaltransparency, lower dielectric constants and water absorptions but also maintained thermal and mechanical properties.
Solving Unbounded Knapsack Problem Using an Adaptive Genetic Algorithm with Elitism Strategy
Rung-Ching Chen,Cheng-Huei Jian,Yung-Fa Huang 보안공학연구지원센터 2008 International Journal of Smart Home Vol.2 No.2
With the popularity of sensor networks, solving the knapsack problem has become important in selecting the best combination of sensor nodes. Many methods have been proposed to solve the Knapsack problem, but few of them have used the genetic algorithm, especially in unbounded Knapsack problems. In this paper, we use the genetic algorithm to solve the unbounded Knapsack problem. We combine an elite strategy and a self adapting system into the genetic algorithm. Using the elite strategy overcomes the problem of the slow convergence rate of the general genetic algorithm. The elite strategy retains good chromosomes and ensures that they are not eliminated through the mechanism of crossover and mutation, ensuring that the features of the offspring chromosomes are at least as good as their parents. The system automatically adapts the number of the initial population of chromosomes and the number of runs to be executed in the genetic algorithm. It will obtain the best value from the chromosomes of each run executed, and retain the values in an elite group. The optimal value is then taken from the elite group and adopted as the real solution. Experimental results have shown that our method rapidly discovers the best solution of the problem.
The simple and easy way to manufacture counter electrode for dye-sensitized solar cells
Jo-Lin Lan,Yung-Yun Wang,Chi-Chao Wan,Tzu-Chien Wei,Hsien-Ping Feng,Chao Peng,Hai-Peng Cheng,Ya-Huei Chang,Wen-Chi Hsu 한국물리학회 2010 Current Applied Physics Vol.10 No.2
We previously developed poly-N-vinyl-2-pyrrolidone (PVP)-capped Pt nanoclusters on ITO glass via a simple ‘‘2-step dip coating process” as counter electrode for DSSC. This new counter electrode was examined by transmission electron microscopy (TEM), inductively coupled plasma-atomic emission spectroscopy (ICP-AES), electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and current–voltage curve (I–V curve). The TEM results revealed that PVP-capped Pt nanoclusters’ size is about 3 nm, and the amount of Pt deposited on ITO glass is about 5 ㎍/㎠. Comparing with sputtered Pt and Solaronix thermal cluster Pt-catalyst T/SP, the PVP-capped Pt counter electrode has lower amount of Pt deposited on TCO glass,more positive potential of tri-iodide reduction, and better performance for the charge-transfer resistance (RCT) and the cell efficiency (g).
Cilostazol ameliorates diabetic nephropathy by inhibiting highglucose-induced apoptosis
Chien-Wen Chian,Yung-Shu Lee,Yi-Ju Lee,Ya-Hui Chen,Chi-Ping Wang,Wen-Chin Lee,Huei-Jane Lee 대한생리학회-대한약리학회 2020 The Korean Journal of Physiology & Pharmacology Vol.24 No.5
Diabetic nephropathy (DN) is a hyperglycemia-induced progressive development of renal insufficiency. Excessive glucose can increase mitochondrial reactive oxygen species (ROS) and induce cell damage, causing mitochondrial dysfunction. Our previous study indicated that cilostazol (CTZ) can reduce ROS levels and decelerate DN progression in streptozotocin (STZ)-induced type 1 diabetes. This study investigated the potential mechanisms of CTZ in rats with DN and in high glucose-treated mesangial cells. Male Sprague-Dawley rats were fed 5 mg/kg/day of CTZ after developing STZ-induced diabetes mellitus. Electron microscopy revealed that CTZ reduced the thickness of the glomerular basement membrane and improved mitochondrial morphology in mesangial cells of diabetic kidney. CTZ treatment reduced excessive kidney mitochondrial DNA copy numbers induced by hyperglycemia and interacted with the intrinsic pathway for regulating cell apoptosis as an antiapoptotic mechanism. In high-glucose-treated mesangial cells, CTZ reduced ROS production, altered the apoptotic status, and down-regulated transforming growth factor beta (TGF-β) and nuclear factor kappa light chain enhancer of activated B cells (NF-κB). Base on the results of our previous and current studies, CTZ deceleration of hyperglycemia-induced DN is attributable to ROS reduction and thereby maintenance of the mitochondrial function and reduction in TGF-β and NF-κB levels.
Face and Gesture Based Human Computer Interaction
Yo-Jen Tu,Chung-Chieh Kao,Huei-Yung Lin,Chin-Chen Chang 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.9
In this paper, we present a face and gesture based human computer interaction (HCI) system. We combine head pose and hand gesture to control the system. We can identify the positions of the eyes and mouth, and use the face center to estimate the pose of the head. Moreover, we introduce a technique for automatic gesture area segmentation and orientation normalization of the hand gesture. The user does not need to keep gestures in upright position and the system segments and normalizes the gestures automatically. The experimental results show that the proposed approach is accurate with gesture recognition rate of 93.6%. Also, the user can control multiple devices, including robots simultaneously through a wireless network.
Development of Phalaenopsis Flowering Quality Prediction Models
( Han-chun Hsu ),( Suming Chen ),( Chao-yin Tsai ),( Yung-huei Chang ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Phalaenopsis is an important exported flower in Taiwan and its flowering quality was reported to be correlated to its leaves’ carbohydrate contents and external traits. Phalaenopsis Sogo Yukidian 'V3' was used as the experimental samples in this research. A hand-held spectrometer and a hyperspectral system were used to build the carbohydrate content prediction models (CC model) respectively first, and then combined with leaves’ external traits obtained from hyperspectral imaging to build the flowering quality prediction model (FQ model). The advantage and application of FQ models built by both devices were compared. The results showed that the CC models built with MPLSR for glucose, fructose, sucrose, total soluble sugar, starch and total carbohydrates by hyperspectral system were all better than those by hand-held spectrometer. The results of FQ models with PLSDA and SVM also showed that the performance of hyperspectral system to discriminate quality levels was better. As for the ANN models’ results to predict the total number of flowers, the errors using both devices were all lower than 0.87. The research proved that using spectral technique to predict the interior contents in Phalaenopsis leaves or flowering quality were both feasible. Although the performance of hyperspectral imaging system is better than that of hand-held spectrometer, it was expensive and not as convenient as hand-held spectrometer. We can adopt some other ways such as using multispectral imaging system or optimize the performance of hand-held spectrometer if we want to apply the results to the Phalaenopsis industry.