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Hong-Qing Cui,Zhi-Cheng Ye,Wei Hu,XiaoWen Lin,T.C. Chung,Tean-Sen Jen,Yan-Qing Lu 한국정보디스플레이학회 2011 Journal of information display Vol.12 No.3
Optically isotropic liquid crystal (LC) mixture such as blue-phase LC and nanostructured LC composites exhibit the advantages of fast response time, high contrast ratio and wide-viewing angle due to the induced birefringence along the horizontal electric field. Utilizing this mixture, a novel single cell gap in-plane switching-type polymer-stabilized blue-phase transflective liquid crystal display by embedding the nanowire grid polarizer as a polarization-dependent reflective polarizer in the R region is proposed. This device can be used as a normal black mode without any quarter-wave plate or patterned in-cell phase retarder. Moreover, the transmittance is identical to the reflectance so that it will be suitable for single gamma driving. Detailed electro-optic performances, such as voltage-dependent light efficiency and viewing angle of the proposed device configuration, are investigated.
Cui, Hong-Qing,Ye, Zhi-Cheng,Hu, Wei,Lin, Xiao Wen,Chung, T.C.,Jen, Tean-Sen,Lu, Yan-Qing The Korean Infomation Display Society 2011 Journal of information display Vol.12 No.3
Optically isotropic liquid crystal (LC) mixture such as blue-phase LC and nanostructured LC composites exhibit the advantages of fast response time, high contrast ratio and wide-viewing angle due to the induced birefringence along the horizontal electric field. Utilizing this mixture, a novel single cell gap in-plane switching-type polymer-stabilized blue-phase transflective liquid crystal display by embedding the nanowire grid polarizer as a polarization-dependent reflective polarizer in the R region is proposed. This device can be used as a normal black mode without any quarter-wave plate or patterned in-cell phase retarder. Moreover, the transmittance is identical to the reflectance so that it will be suitable for single gamma driving. Detailed electro-optic performances, such as voltage-dependent light efficiency and viewing angle of the proposed device configuration, are investigated.
Polymorphisms of TERT and CLPTM1L and the Risk of Hepatocellular Carcinoma in Chinese Males
Su, Ling-Yan,Li, Xue-Lian,Shen, Li,Zhang, Yue,Zhao, Meng-Meng,Yin, Zhi-Hua,Su, Hong-Ying,Zhou, Bao-Sen Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.19
Background: Telomerase reverse transcriptase (TERT) and cleft lip and palate trans-membrane 1 like (CLPTM1L) genes located on chromosome 5p15.33 are known to influence the susceptibility to various cancers. Here, we examined the association of TERT and CLPTM1L single nucleotide polymorphisms (SNPs) with hepatocellular carcinoma (HCC). Materials and Methods: Genotyping of TERT SNP rs2736098 and CLPTM1L SNP rs401681 was performed using TaqMan allelic discrimination assays in a case-control study of 201 HCC cases and 210 controls in a Chinese male population. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression analyses. Results: Both the rs2736098 T allele of TERT and the rs401681 T allele of CLPTM1L were associated with a significantly increased risk of HCC (adjusted odds ratio [OR]=1.605, 95% confidence interval [CI]=1.164-2.213; adjusted OR=1.399, 95%CI=1.002-1.955, respectively). Individuals carrying both TERT and CLPTM1L risk genotypes had an even higher risk of HCC (adjusted OR=4.420, 95%CI= 2.319-8.425). The TERT rs2736098 T allele was also significantly associated with the level of the HCC clinical indicator alpha-fetoprotein (P=0.026). Conclusions: Our results show that genetic variants of TERT and CLPTM1L may contribute to HCC susceptibility in Chinese males.
Chao Zhang,Hong-Sen Yan 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
A novel method for nonlinear stochastic time-varying systems identification based on multi-dimensional Taylor network with optimal structure is proposed. In this paper, the connection weight coefficients of multi-dimensional Taylor network are regarded as the time-varying parameters, which are trained by the variable forgetting factor recursive least squares algorithm, to reflect the input-output change of nonlinear stochastic time-varying systems. Moreover, to avoid the dimension explosion, the weight-elimination algorithm is introduced to choose effective regression items of multi-dimensional Taylor network, thereby the simplest structure of network which has the best generalization ability is obtained. Simulation results show that the method proposed in this paper is valid.
Qi-Ming Sun,Hong-Sen Yan 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
The control input item is added to constitute the nonlinear dynamic model, on the basis of the original multi-dimensional Taylor network in this paper. And this nonlinear dynamic model is used to optimally control MISO nonlinear system only by output feedback without the disturbance estimation of the system or needing the state observer. The back-propagation algorithm is used to train the parameters of the multi-dimensional network with the control input item. Through the simulation, it is demonstrated the multi-dimensional Taylor network used as the optimal MISO nonlinear system tracking controller is effective.
An-Ming Kang,Hong-Sen Yan 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
This paper deals with the problem of output feedback control of SISO nonlinear systems based on the multi-dimensional Taylor network (MTN) controller. It adopts the MTN controller as a network structure controller and the differential geometry as an analysis tool. It proves that, when the given conditions are met, the reference signal can be asymptotically tracked by the MTN controller. And also, it proves the MTN controller can realize the closed-loop system dynamic regulation. Finally, an example is given to prove the correctness of above.
Yu-Qun Han,Hong-Sen Yan 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
The problem of tracking control for stochastic nonlinear systems is investigated in this paper. Because of the randomness and nonlinearity of stochastic nonlinear systems, the existing methods are sometimes difficult to achieve the desired tracking performance. In this paper, a new network controller (multi-dimensional Taylor network) is proposed, which only relies on the output of system. Firstly we give the structure of multi-dimensional Taylor network (MTN), and then prove the MTN has a good approximation performance. Secondly, Design a MTN control strategy relying on the system output, which will guarantee the tracking of system output to desired output. An example is given to illustrate the effectiveness of the proposed design approach.