基于人工神经网络的控制器的研究

本文通过在对几种常见神经网络在机器人手眼协调控制中的应用分析和仿真研究的基础上，给出了一种综合型的神经网络模型，仿真结果表明模型具有更好的收敛速度和控制性能。     

基于快速傅里叶变换与人脸先验知识的改进人眼检测算法

提出了一种针对DVF（距离向量域）眼睛检测算法的重要改进。使用距离向量域来检测人眼在图像中的位置已经被证明是一种出色的方法,然而其拥有非常高的时间计算复杂度。目前,两项重要改进被引入：首先,使用快速傅里叶变换与卷积定理,成功将检测复杂度降低。其次,眼睛在人脸中粗略位置的合理假设被引入检测过程中,使得DVF检测算法在人脸在有旋转与偏斜的情况下仍然保持精确。     

A robust eye localization algorithm for face recognition

The accuracy of face alignment affects greatly the performance of a face recognition system. Since the face alignment is usually conducted using eye positions, the algorithm for accurate eye localization is essential for the accurate face recognition. In this paper, an algorithm is proposed for eye localization. First, the proper AdaBoost detection is adaptively trained to segment the region based on the special gray distribution in the region. After that, a fast radial symmetry operator is used to precisely locate the center of eyes. Experimental results show that the method can accurately locate the eyes, and it is robust to the variations of face poses, illuminations, expressions, and accessories.     

珍珠明目滴眼液改善兔眼球结膜微循环的实验研究

目的: 观察珍珠明目滴眼液对兔眼微循环的影响。方法: 采用静脉注射高分子右旋糖苷(Dextran T 500)复制家兔眼球结膜微循环障碍模型,利用动物微循环仪观察并分析珍珠明目滴眼液对兔眼微循环的改善作用。结果: 珍珠明目滴眼液给药5、15和 30 min 能明显加快球结膜微动脉和微静脉血流速度,改善血液流态,降低血液流态积分。结论: 珍珠明目滴眼液对家兔眼球结膜微循环障碍有良好的改善作用。     

兰州重离子治癌研究装置的准直测量技术

介绍了中国科学院近代物理研究所重离子治癌装置的安装定位测量技术和方法。利用激光跟踪仪通过控制网的建立,和多重坐标系的转换,使最后的磁铁安装径向相对误差不超过±(0.05-0.1)mm,真空管道的横向及竖向精度也达到了±(0.1-0.2)mm。     

一种新颖的眼部状态识别方法

在疲劳驾驶检测中,对眼部状态的判断是关键的步骤之一.为了对眼部状态进行有效的识别,提出了一种新颖的眼部状态识别方法.该方法用眼部图像中的某些点的纹理单元的N.值作为输入特征值,用径向基函数神经网络(RBF)作为分类器.为了进一步提高分类的准确性,又采用了Bagging方法.试验结果表明,该方法易于实现,准确度高,速度快,不受光照条件的影响,可以应用于实际.     

高速串行链路的信号均衡技术

在高速串行链路中,均衡技术可以有效地提高数据速率或增加传输距离。该文介绍了串行链路设计中采用的主要均衡方案,并进行了对比分析,最后给出了均衡技术的一些选用建议。     

Impact of corneal collagen cross-linking on vision-related quality of life measured with the keratoconus outcomes research questionnaire (KORQ) in patients with keratoconus

PurposeTo assess the impact of corneal collagen cross-linking on self-reported vision-related quality of life (VR-QoL) in keratoconus patients by means of the Keratoconus Outcomes Research Questionnaire (KORQ), a new disease-specific patient reported outcomes measures (PROMs) tool.MethodsPatients with progressive keratoconus undergoing corneal collagen cross-linking were consecutively enrolled. Patients completed the KORQ before and after the treatment, at 1, 3 and 6 months. Data were collected regarding the visual acuity and the topographic, aberrometric and pachymetric parameters of both eyes. Patients were also asked to quantify their eye rubbing behavior on a Visual Analogue Scale (VAS) from 0 to 10, before and 6 months after treatment.The KORQ scores were associated with the visual acuity, topographic, aberrometric and pachymetric data by means of the Spearman correlation coefficient.ResultsThe Activity Limitation (AL) subscale score was higher after surgery. Preoperatively, negative correlations were observed between the KORQ AL score and Best Corrected Visual Acuity (logMAR), maximum keratometry, flattest keratometry, steepest keratometry, symmetry index front and higher order aberrations (HOA) of the treatment eye. Postoperatively, we observed a shift toward the fellow eye, with stronger correlation of the KORQ scores with the fellow eye parameters. The Symptoms subscale score correlated with the aberrometric parameters of both eyes at various time points. Statistically significant correlations were observed between the change in KORQ scores and the change in aberrometric parameters. A statistically significant reduction in the eye rubbing behavior was detected (p < 0,0001).ConclusionsThese results suggest that the corneal cross-linking treatment is effective both in improving the subjective perception of the disease by the patient and in stabilizing the objective indicators of disease progression. Keratometric, aberrometric and visual acuity values showed a significant impact on self-reported VR-QoL. Corneal cross-linking, by halting the worsening of these parameters, may bear a beneficial effect on VR-QoL.     

Glaucoma visual field quantification with eye tracker

Glaucoma is a group of diseases that manifest as atrophy and depression of the optic papilla, visual field defects, and vision loss, representing one of the three leading causes of blindness worldwide. Traditional visual field examinations – an important diagnostic tool for glaucoma – present various challenges including patients’ inability to maintain fixed vision, delays in detecting vision loss, passive position detection, difficulty in detection, and limitations in reflecting physiological visual field damage. Early diagnosis and intervention are crucial for improving patients’ condition and enhancing their later-life abilities and life quality. Herein, we proposed two vision field detection systems to overcome these limitations. First, we establish a dynamic visual field detection system to reduce the complexity of traditional detection experiments and to enhance their operability. Instead of fixating on a central point, subjects are only required to search for the target in the picture. We analyze the heat map and trajectory map of visual attention for visual interpretation, and the analysis of experimental data reveals that the average finding time of subjects in the experimental task varies. In response to the scenario where visual field defects are not detected by the dynamic visual field detection system, we have developed a static visual field detection system based on the former. The system obtains eye movement data and automatically generates a map of the extent of the physiological blind spot without any action required from the patient. The experiment results provide evidence for the effectiveness of the static visual field detection system in detecting the physiological blind spot. Given the well-established association between glaucoma and an enlarged physiological blind spot, the use of an eye tracker to assess the extent of the subject’s blind spot represents an easy-to-use and reliable method for preliminary glaucoma screening.