A new vertical‐alignment LC mode with high‐transmittance and fast‐response‐time features

Abstract— A novel pixel design for vertical‐alignment LCDs with superior transmittance has been developed. The new liquid‐crystal mode, refered to as the hole‐induced vertical‐alignment mode (Hi‐VA), uses a via hole of an organic layer on a TFT substrate to achieve multi‐domain alignment. Compared to the conventional design, the Hi‐VA mode has a transmittance of up to 135% with a contrast ratio of 2000:1. Moreover, the new structure is free from ITO patterning or protrusion on the color‐filter side, which makes the fabrication process simple and low cost.     

State feedback sliding mode control without chattering by constructing Hurwitz matrix for AUV movement

This paper presents a new method to eliminate the chattering of state feedback sliding mode control (SMC) law for the mobile control of an autonomous underwater vehicle (AUV) which is nonlinear and suffers from unknown disturbances system. SMC is a well-known nonlinear system control algorithm for its anti-disturbances capability, while the chattering on switch surface is one stiff question. To dissipate the well-known chattering of SMC, the switching manifold is proposed by presetting a Hurwitz matrix which is deducted from the state feedback matrix. Meanwhile, the best switching surface is achieved by use of eigenvalues of the Hurwitz matrix. The state feedback control parameters are not only applied to control the states of AUV but also connected with coefficients of switching surface. The convergence of the proposed control law is verified by Lyapunov function and the robust character is validated by the Matlab platform of one AUV model.     

Intelligent control of a nonlinear tank reactor

In this paper, intelligent control of a particular Catalytic Continuous Stirred Tank Reactor (CSTR) is addressed. Control command is the sum of two components: steady state and transient commands. A fuzzy controller generates a transient control command that pushes the system towards the setpoint. A steady state control command is generated to maintain the steady state situation at the setpoint (based on the concept of ‘control equilibrium point’). For comparison, a case study was also controlled by the neuro‐predictive algorithm. The studied CSTR is known as a good example of a neuro‐predictive control application; however, the newly proposed hybrid intelligent method leads to much better setpoint tracking as well as less change in control command (which is very important in implementation of the control system).     

基于残差能量的H.263与H.264间的编码转换

论述当前的视频转换编码技术,提出一种低复杂度的从H.263到H.264的编码转换结构。该结构基于视频编码中运动估计的残差能量最小的原理,使用自适应能量分类的方法对转换编码进行优化。实验结果显示,该方法相对于H.264全模式搜索能够节省50%以上的时间。与其他快速算法相比,具有较高的编码转换性能。     

基于MS-FCM算法的MR图像分割方法

针对传统模糊C-均值(FCM)聚类算法在分割低信噪比图像时准确性较差的问题,提出一种用于MR图像分割的改进算法MS-FCM。针对脑部MR图像相邻像素属于同一分类的模糊隶属度相近的特性,在迭代过程中对隶属度数据集进行滤波,以降低噪声对聚类精度的影响。模拟脑部MR图像和临床脑部MR图像的分割实验证明,该算法可以提高图像分割精度。     

基于AVS1-P2的快速帧内预测算法

AVS1-P2标准参考软件rm52j的RDCost算法能很好地平衡视频编码质量和编码效率,但RDCost的计算复杂度大,占用了大量的编码时间。针对该问题,提出一种快速预测算法,利用帧内8×8亮度块亮度变化的方向性和邻块间预测模式的相关性进行帧内预测。实验证明,与全搜索算法相比,快速预测算法的编码时间平均节省了17%左右,且PSNR和比特率几乎不变。     

GIF图像选择加密算法及其性能研究

针对GIF图像的编码特点,提出退化和保密2种模式下的图像选择加密算法。对于退化模式,采用子集内置乱索引的方法实现对图像退化的可视度控制,对于保密模式,通过加密较少数据实现对整个图像的保护。分析结果表明,该算法在满足GIF图像安全性和格式兼容性要求的同时,使其压缩率保持不变。     

模糊ART神经网络模型及其在图像识别中的应用

提出了采用低通过率波、去最小亮度和向量柱状图来提取人脸特征的方法,设计了模糊ART神经网络的结构、学习规则和识别算法,并采用模糊ART神经网络对向量柱状图生成的特征向量进行识别。仿真实验证明,通过调整神经网络的警戒参数值,不同的人具有不同的最大在线识别率,所有人平均的在线最大识别率可以达到89％。     

通用模糊综合评判工具的研究与应用

根据模糊综合评判法应用的广泛性及现状,提出开发通用的模糊综合评判工具。通过分析需求,建立了系统的功能结构,并通过实例展示了系统的功能。该工具基于Web,利用它,可以针对不同评价问题迅速开发相应的评判系统,且适合群决策,方便而易于使用。     

带有非线性不确定奇异系统的积分滑模控制

针对一类含有非线性不确定的奇异系统, 提出了一种面向性能的鲁棒控制器. 控制器由3部分组成: 积分滑模控制、附加的非线性控制及复合非线性反馈控制. 积分滑模控制可将匹配不确定完全抵消并使系统轨迹进入理想滑模; 附加的非线性控制用来抑制理想滑动模态上非匹配不确定对系统稳定性和性能的影响; 复合非线性反馈控制则保证闭环系统输出按性能要求渐近地跟踪参考输入信号. 最后通过算例说明所提算法的有效性.