Improvement in luminance,luminous efficiency,driving margin,and operational lifetime of HD PDPs by using discharge deactivation film

Abstract— We have improved our 116‐cm HD PDP in many respects by using DDF formed on MgO around the display line boundaries. The DDF allows an extremely narrow inter‐pixel gap even for a stripe‐rib structure because it prohibits vertical crosstalk discharge. The DDF combined with a stripe‐rib structure results in the best address discharge response. Thus, a very wide driving margin area is achieved, allowing for a high percentage of Xe. The preferable sustain electrode shape follows the CAPABLE DDF style, where the principal discharge portion is separated from the bus via a slim bridge. This cell configuration proved to be excellent in operational life testing with respect to DDF as well as in manufacturing process margin. By employing both a thinner dielectric layer and a TiO₂reflective underlayer for phosphor, the address response is further improved so that Xe15% vol. is available from the viewpoint of the driving margin. Thus, we achieved a white peak luminance of 1220 cd/m² and a luminous efficiency of 2.16 lm/W simultaneously despite of an applied sustain voltage as low as 185 V. We foresee that they will be soon as high as 1400 cd/m² and 2.5 lm/W by modifying the sustain electrode style.     

套管抗挤强度可靠性分析方法研究

提出了一种新的套管抗挤强度可靠性分析方法——置信度与可靠性设计相结合的高精度小子样方法。与常规方法相比,本文方法计算结果精度高,并节省试样。     

Effects of variable transformations on errors in FORM results

On the basis of studies on second partial derivatives of the variable transformation functions for nine different non-normal variables the paper comprehensively discusses the effects of the transformation on FORM results and shows that senses and values of the errors in FORM results depend on distributions of the basic variables, whether resistances or actions basic variables represent, and the design point locations in the standard normal space. The transformations of the exponential or Gamma resistance variables can generate +24% errors in the FORM failure probability, and the transformation of Frechet action variables could generate −31% errors.     

基于球形矩匹配与特征判别的图像超分辨率重建

由于网络训练不稳定,基于生成对抗网络（GAN）的图像超分辨率重建存在模式崩溃的现象。针对此问题,提出了一种基于球形几何矩匹配与特征判别的球面双判别器超分辨率重建网络SDSRGAN,通过引入几何矩匹配与高频特征判别来改善网络训练的稳定性。首先,生成器对图像提取特征并通过上采样生成重建图像;接着,球面判别器将图像特征映射至高维球面空间,充分利用特征数据的高阶统计信息;然后,在传统判别器的基础上增加特征判别器,提取图像高频特征,重建特征高频分量和结构分量两方面;最后,对生成器与双判别器进行博弈训练,提高生成器重建图像质量。实验结果表明,所提算法能有效收敛,其网络能够稳定训练,峰值信噪比（PSNR）为31.28 dB,结构相似性（SSIM）为0.872,而与双三次差值、超分辨率残差网络（SRResNet）、加速的卷积神经网络超分辨率（FSRCNN）、基于GAN的单图像超分辨率（SRGAN）和增强型超分辨率生成对抗网络（ESRGAN）算法相比,所提算法的重建图像具有更加逼真的结构纹理细节。所提算法为基于GAN的图像超分辨率研究提供了球形矩匹配与特征判别的双判别方法,在实际应用中可行且有效。     

层状颗粒柱体崩塌-堆积过程研究

碎屑流具有高速度、冲程远、危害范围广等特点,颗粒粒径被认为是影响其运动距离的重要因素之一。为了对碎屑流进行有效的预测和防范,基于单面临空下不同分层堆积模式颗粒柱体的一系列崩塌运动物理试验对其崩塌-堆积过程进行了研究。结果表明:不同分层堆积模式颗粒柱体崩塌后,颗粒的堆积层序和试验前颗粒初始堆积层序保持一致;崩塌后的颗粒堆积层序和试验前颗粒初始堆积层序有关;不同粒径的颗粒相互间运动时,粒径较小的颗粒填充到大颗粒间的空隙之中,并起到润滑作用;颗粒柱体在单面临空面方向崩塌时,颗粒运动方向呈放射状,堆积平面形式是"圆形态";分别以d_7颗粒为顶层和d_(13)颗粒为顶层时,d_7颗粒最远堆积长度比d_(13)的高约6.3%;顶层颗粒(d_7颗粒)运动能力越强,则最终的堆积范围越大,底层颗粒(d_(13)颗粒)的运动能力,对整个堆积体最终堆积范围影响相对较小。上述规律可应用于层状危岩体崩塌过程及其颗粒堆积范围的研究。     

四川省道S216沿线滑坡、崩塌发育规律

四川西部山区公路沿线地质灾害频繁发生,严重威胁着行人行车的安全。为了研究道路沿线地质灾害发育规律,基于ArcGIS平台对四川省道S216木里段沿线带状区域内的滑坡、崩塌的发育规律作了系统的分析。结果表明:研究区内85.38%的地质灾害发育在20°～50°的坡体中;断层、河流以及道路均会影响地质灾害的发育;研究区内70%的滑坡灾害分布在2 000～2 500 m的高程内;崩塌在正北、北东、北西向的坡体中鲜有发育,滑坡在北西向以及正北向坡体中发育较少。研究成果可为区域内道路抢险、线路突发情况改线及灾害分区提供依据。     

Instances selection algorithm by ensemble margin

Abstract

The main limit of data mining algorithms is their inability to deal with the huge amount of available data in a reasonable processing time. A solution of producing fast and accurate results is instances and features selection. This process eliminates noisy or redundant data in order to reduce the storage and computational cost without performances degradation. In this paper, a new instance selection approach called Ensemble Margin Instance Selection (EMIS) algorithm is proposed. This approach is based on the ensemble margin. To evaluate our approach, we have conducted several experiments on different real-world classification problems from UCI Machine learning repository. The pixel-based image segmentation is a field where the storage requirement and computational cost of applied model become higher. To solve these limitations we conduct a study based on the application of EMIS and other instance selection techniques for the segmentation and automatic recognition of white blood cells WBC (nucleus and cytoplasm) in cytological images.     

一种抗噪的钢印打码字符识别方法

针对总间隔支持向量机对噪声敏感的问题,引入pinball损失函数,提出基于pinball损失函数的总间隔支持向量机。同时提出噪声环境下的钢印打码字符识别方法,首先对钢印图像的字体进行预处理,然后使用基于pinball损失函数的总间隔支持向量机对图像特征进行分类。实验结果分析表明本文提出的基于pinball损失函数的总间隔支持向量机可以较好地应用于噪声环境下的钢印打码字符识别,在分类效果和ROC曲线指标上具有令人满意的效果。     

钢筋混凝土烟囱拆除爆破倾倒过程摄影分析

为了精确观测钢筋砼烟囱爆破倾倒过程中爆破切口形成、切口闭合、烟囱倾倒运动及破坏规律,采用佳能1DX高级单反数码相机和佳能7D数码相机,对准南方碱业股份有限公司100 m高钢筋砼烟囱的爆破切口,拍摄了数百张高清晰照片。根据相机抓拍的烟囱状态变化和相应时刻,通过计算详细定量地描绘了烟囱的倾倒破坏过程和运动规律,发现该工况下烟囱爆破从起爆到倾倒触地经历了7个阶段。