Development of a 97.5-inch Super Hi-Vision 8K × 4K liquid crystal display panel

Yanping Liao,Xibin Shao,Jianfeng Yuan,Xiqing Zhang,Ji Zhang,Changlin Leng,Yinglong Huang,Seongkuy Lee 한국정보디스플레이학회 2015 Journal of information display Vol.16 No.3

A prototype 97.5-inch 8K×4K a-Si liquid crystal display (LCD) panel for Super Hi-Vision with ultra-high definition was successfully developed using the BOE exclusive advanced super-dimensional switching technology. This LCD has a panel with 7680(×3) by 4320 pixels, 16 times those of the conventional Full High Definition (FHD), and the pixel size of the panel is 0.2811mm (90.4 pixels per inch). The liquid crystal charging time was extended by quad area and double source line structure (also called “2G2D driving”). Additionally, a multi-functional image-processing video board was developed to compatibly realize the real-time display of huge image data from FHD to 8K. Furthermore, the reason for the arcing that occurred in half-tone source–drain mask etching was discussed and was ultimately solved by improving the exposure process. The demonstrated panel features a 1200:1 contrast ratio, 500 nit brightness, and 72% color gamut.

Richardson extrapolation and defect correction of mixed finite element methods for elliptic optimal control problems

Yanping Chen,Yunqing Huang,Tianliang Hou 대한수학회 2012 대한수학회지 Vol.49 No.3

In this paper asymptotic error expansions for mixed finite element approximations to a class of second order elliptic optimal control problems are derived under rectangular meshes, and the Richardson extrapolation of two different schemes and interpolation defect correction can be applied to increase the accuracy of the approximations. As a by-product, we illustrate that all the approximations of higher accuracy can be used to form a class of a posteriori error estimators of the mixed finite element method for optimal control problems.

RICHARDSON EXTRAPOLATION AND DEFECT CORRECTION OF MIXED FINITE ELEMENT METHODS FOR ELLIPTIC OPTIMAL CONTROL PROBLEMS

Chen, Yanping,Huang, Yunqing,Hou, Tianliang Korean Mathematical Society 2012 대한수학회지 Vol.49 No.3

In this paper asymptotic error expansions for mixed finite element approximations to a class of second order elliptic optimal control problems are derived under rectangular meshes, and the Richardson extrapolation of two different schemes and interpolation defect correction can be applied to increase the accuracy of the approximations. As a by-product, we illustrate that all the approximations of higher accuracy can be used to form a class of a posteriori error estimators of the mixed finite element method for optimal control problems.

SPECTRAL-COLLOCATION METHOD FOR FRACTIONAL FREDHOLM INTEGRO-DIFFERENTIAL EQUATIONS

Yin Yang,Yanping Chen,Yunqing Huang 대한수학회 2014 대한수학회지 Vol.51 No.1

We propose and analyze a spectral Jacobi-collocation approx- imation for fractional order integro-differential equations of Fredholm- Volterra type. The fractional derivative is described in the Caputo sense. We provide a rigorous error analysis for the collection method, which shows that the errors of the approximate solution decay exponentially in L ∞ norm and weighted L²-norm. The numerical examples are given to illustrate the theoretical results.

Removal of chloride ions from acidic solution with antimony oxides

Xuewen Wang,Yanping Du,Haoxiang Yang,Shenghui Tian,Qi Ge,Sheng Huang,Mingyu Wang 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.93 No.-

This studyaims to investigate the removal of Cl- from acidic solutionwith antimony oxides. The effects of theadsorbenttype,reaction time,reaction temperature,Sb/Clmole ratio andacidityonadsorptionperformanceand the regeneration of loaded adsorbent were systematically studied. The results shows that Sb2O3 xH2Ohas the highest adsorption rate (97.64%) among Sb2O3 xH2O, Sb2O5 xH2O, Sb2O4 xH2O and Sb2O3 in thesolution containing 1.25 mol/L H2SO4under the condition of Sb/Cl mole ratio 3:1 and stirring for 2 h at roomtemperature, and the concentration of Cl- in the acid solution can be reduced to 280 mg/L. Then the residualSb in the adsorbed solution can be decreased from 48.21 mg/L to 16.09 mg/L by C-SbA which is made bySb2O5 xH2O. The C-SbA which has been used can be reused after calcining at 400 ℃ for 2 h. The loadedadsorbent was completely regenerated by adding it into NaOH or Na2CO3 solution whose pH is equal ormore than 9.5 according to S/L ratio 1:6 g/mL and was stirred for 0.5 h at room temperature. The Cl- in theregenerated solution was crystallized and precipitated in the form of NaCl without evaporation andconcentration according to the common ion effect of Na+, and the purity of NaCl was more than 99%.

Parameter Identification of Wiener Models by Multi-innovation Algorithms

Jian Yao,Yanping Huang,Zhicheng Ji 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.6

An output nonlinear Wiener system is rewritten as a standard least squares form by reconstructing the input-output items of its difference equation. Multi-innovation based stochastic gradient (MISG) algorithm and its derivate algorithms are introduced to formulate identification methods of Wiener models. In order to increase the convergence performance of stochastic gradient (SG) algorithm, the scalar innovation in SG algorithm is expanded to an innovation vector which contains more information about input-output data. Furthermore, a proper forgetting factor for SG algorithm is intro-duced to get a faster convergence rates. The comparisons of convergence performance and estimation errors of proposed algorithms are illustrated by two numerical simulation examples.

Screening of Probiotic Activities of Lactobacilli Strains Isolated from Traditional Tibetan Qula, A Raw Yak Milk Cheese

Zhang, Bei,Wang, Yanping,Tan, Zhongfang,Li, Zongwei,Jiao, Zhen,Huang, Qunce Asian Australasian Association of Animal Productio 2016 Animal Bioscience Vol.29 No.10

In this study, 69 lactobacilli isolated from Tibetan Qula, a raw yak milk cheese, were screened for their potential use as probiotics. The isolates were tested in terms of: Their ability to survive at pH 2.0, pH 3.0, and in the presence of 0.3% bile salts; tolerance of simulated gastric and intestinal juices; antimicrobial activity; sensitivity against 11 specific antibiotics; and their cell surface hydrophobicity. The results show that out of the 69 strains, 29 strains (42%) had survival rates above 90% after 2 h of incubation at pH values of 2.0 or 3.0. Of these 29 strains, 21 strains showed a tolerance for 0.3% bile salt. Incubation of these 21 isolates in simulated gastrointestinal fluid for 3 h revealed survival rates above 90%; the survival rate for 20 of these isolates remained above 90% after 4 h of incubation in simulated intestinal fluid. The viable counts of bacteria after incubation in simulated gastric fluid for 3 h and simulated intestinal fluid for 4 h were both significantly different compared with the counts at 0 h (p<0.001). Further screening performed on the above 20 isolates indicated that all 20 lactobacilli strains exhibited inhibitory activity against Micrococcus luteus ATCC 4698, Bacillus subtilis ATCC 6633, Listeria monocytogenes ATCC 19115, and Salmonella enterica ATCC 43971. Moreover, all of the strains were resistant to vancomycin and streptomycin. Of the 20 strains, three were resistant to all 11 elected antibiotics (ciprofloxacin, erythromycin, tetracycline, penicillin G, ampicillin, streptomycin, polymyxin B, vancomycin, chloramphenicol, rifampicin, and gentamicin) in this study, and five were sensitive to more than half of the antibiotics. Additionally, the cell surface hydrophobicity of seven of the 20 lactobacilli strains was above 70%, including strains Lactobacillus casei 1,133 (92%), Lactobacillus plantarum 1086-1 (82%), Lactobacillus casei 1089 (81%), Lactobacillus casei 1138 (79%), Lactobacillus buchneri 1059 (78%), Lactobacillus plantarum 1141 (75%), and Lactobacillus plantarum 1197 (71%). Together, these results suggest that these seven strains are good probiotic candidates, and that tolerance against bile acid, simulated gastric and intestinal juices, antimicrobial activity, antibiotic resistance, and cell surface hydrophobicity could be adopted for preliminary screening of potentially probiotic lactobacilli.

Application of Membrane Filtration Method to Isolate Uninuclei Conidium in Aspergillus oryzae Transformation System Based on the pyrG Marker

Yanwei Ji,Yang Xu,Yanping Li,Zhui Tu,Zhibing Huang,Xue Liu,Da Lei 한국식품과학회 2013 Food Science and Biotechnology Vol.22 No.1

The purpose of this study was to develop a membrane filtration method to isolate uninuclei conidium of Aspergillus oryzae, then the method was adopted to develop a transformation system of A. oryzae. A. oryzae 3.951 contained 1–4 nuclei in each conidium. The percentages of uninucleate and binucleate conidia were approximately 16.15 and 74.22%, respectively. Conidia suspension was filtrated with a 5-μm membrane to overcome the bottleneck caused by multinucleate conidia and to remove excess multinucleate conidia before UV mutagenesis. Uninucleate conidia of 5-fluoroorotic acid (5-FOA)-resistant strains were enriched by filtration with a 3-μm membrane. The pyrG mutant strain AS11 was obtained and GFP-pyrG was successfully transformed into AS11.

SPECTRAL-COLLOCATION METHOD FOR FRACTIONAL FREDHOLM INTEGRO-DIFFERENTIAL EQUATIONS

Yang, Yin,Chen, Yanping,Huang, Yunqing Korean Mathematical Society 2014 대한수학회지 Vol.51 No.1

We propose and analyze a spectral Jacobi-collocation approximation for fractional order integro-differential equations of Fredholm-Volterra type. The fractional derivative is described in the Caputo sense. We provide a rigorous error analysis for the collection method, which shows that the errors of the approximate solution decay exponentially in $L^{\infty}$ norm and weighted $L^2$-norm. The numerical examples are given to illustrate the theoretical results.

Research on prediction and analysis of supercritical water heat transfer coefficient based on support vector machine

Dongliang Ma,Yi Li,Tao Zhou,Yanping Huang 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.11

In order to better perform thermal hydraulic calculation and analysis of supercritical water reactor, based on the experimental data of supercritical water, the model training and predictive analysis of the heat transfer coefficient of supercritical water were carried out by using the support vector machine (SVM) algorithm. The changes in the prediction accuracy of the supercritical water heat transfer coefficient are analyzed by the changes of the regularization penalty parameter C, the slack variable epsilon and the Gaussian kernel function parameter gamma. The predicted value of the SVM model obtained after parameter optimization and the actual experimental test data are analyzed for data verification. The research results show that: the normalization of the data has a great influence on the prediction results. The slack variable has a relatively small influence on the accuracy change range of the predicted heat transfer coefficient. The change of gamma has the greatest impact on the accuracy of the heat transfer coefficient. Compared with the calculation results of traditional empirical formula methods, the trained algorithm model using SVM has smaller average error and standard deviations. Using the SVM trained algorithm model, the heat transfer coefficient of supercritical water can be effectively predicted and analyzed.