双面碎片的英文文件复原方法研究

对英文材料的双面规则碎片文件复原问题进行了研究.由于碎片边界是规则的几何形状,无法采用几何形状匹配算法进行复原,为此提出了基于碎片边缘像素特征的匹配复原算法,建立了双面二维灰度匹配数学模型.通过加入行约束条件,减少横向匹配中的纵向误差,并通过消除列匹配中的误差,优化了匹配算法.该模型可以实现块状双面英文碎片的完整复原.     

基于灰度投影改进的电子稳像

针对灰度投影算法运用于存在局部运动目标的情况下,稳像效果较差并且可能产生错稳这一问题,在分析灰度投影基本理论的基础上,提出一种改进的灰度投影算法:局部运动物体位置估计方法和像素替代法。利用灰度值的改变和像素替代的方法,把局部运动物体去除,再进行稳像处理。通过实验验证,该方法可以解决图像中存在运动物体时发生的错稳情况。比较改进前与改进后的稳像效果,改进后的PSRN（峰值信噪比）提高了1.35。     

6 mm~60 mm百万像素变焦安防镜头设计

设计一种可用于监控系统的大口径百万像素变焦距光学成像镜头,采用0.85 cm(1/3英寸)CCD接收,像元大小为3.75 m。镜头在短焦、中焦、长焦的位置时F数分别为1.6、2.1和2.4。变焦系统采用四组元组合形式,与传统的变焦系统相比,该系统采用第4组元作为补偿组。通过高斯法分析与求解得到初始结构,使用Zemax软件对其优化,系统均采用球面透镜进行设计。镜头轴上视场在133 lp/mm处大于0.3,轴外0.7视场在133 lp/mm处大于0.2,系统的最小后截距大于9 mm,满足装配要求。最后采用多点拟合绘制出此系统的变焦凸轮曲线。     

CCD与CMOS像素传感器γ射线电离辐射响应特性对比研究

为了研究CCD与CMOS像素传感器对γ射线电离辐射的响应差异,对比研究了4类像素传感器的结构特点和辐射响应特性。通过辐射实验,对各传感器在不同辐射水平条件下的光子响应事件分布、平均灰度值以及典型光子响应事件进行研究。研究结果表明：光子响应程度均与辐射剂量率相关;CCD像素传感器的沟道传输方式使每列像元间的辐射响应更容易相互干扰;平均灰度值随剂量率的增大存在明显的梯度,各积分周期内输出信号灰度值围绕均值上下波动,CCD像素传感器输出信号灰度浮动范围较小;CMOS像素传感器各像元对光子的响应更加明显,CCD像素传感器各像元的响应信号易与相邻像元发生串扰;各类像素传感器典型辐射响应事件区域中发生光子响应的像元数量随剂量率的增大而增多,响应事件并非单个光子的行为,而是反映了多个光子在区域内同时沉积能量的过程。本研究为开发像素传感器的γ射线辐射探测技术和应用提供了重要的理论分析和实验数据支撑。     

MoEDAL – a new light on the high-energy frontier

In 2010, the MoEDAL (MOnopole and Exotics Detector at the LHC) experiment at the Large Hadron Collider (LHC) was unanimously approved by European Centre for Nuclear Research’s Research Board to start data taking in 2015. MoEDAL is a pioneering experiment designed to search for highly ionising manifestations of new physics such as magnetic monopoles or massive (pseudo-)stable charged particles. Its groundbreaking physics programme defines a number of scenarios that yield potentially revolutionary insights into such foundational questions as: are there extra dimensions or new symmetries; does magnetic charge exist; what is the nature of dark matter; and, how did the Big Bang develop. MoEDAL’s purpose is to meet such far-reaching challenges at the frontier of the field. The innovative MoEDAL detector employs unconventional methodologies tuned to the prospect of discovery physics. The largely passive MoEDAL detector, deployed at Point 8 on the LHC ring, has a dual nature. First, it acts like a giant camera, comprised of nuclear track detectors – analysed offline by ultra fast scanning microscopes – sensitive only to new physics. Second, it is uniquely able to trap the particle messengers of physics beyond the Standard Model for further study. MoEDAL’s radiation environment is monitored by a state-of-the-art real-time TimePix pixel detector array. A new MoEDAL sub-detector designed to extend MoEDAL reach to mini-charged, minimally ionising particles is under study.     

基于屋顶二值红外传感器网络的人体定位和行为识别系统设计

为了解决个人隐私的保护、受光照条件和障碍物等因素的影响,设计了一种基于屋顶二值红外传感器网络的人体行为识别系统。系统采用STM32芯片和ZigBee协调器建立ZigBee网络。当实验者在安装在屋顶的20个互连的AMN31111红外传感器下面做出一系列行为时,传感器对其进行二值数据采集,ZigBee协调器将数据通过串口发送到PC机上实时动态显示,通过Keil 5系统软件对采集的二值数据以txt文本格式存储。提出了像素值法对人体进行定位和BP神经网络算法在模拟的居家环境中对7种不同人物行为进行识别。实验结果表明：该系统实现了人体多种行为的识别,其识别率为84.7%,4名实验者得到平均识别精度相比固定在居家电器传感器设备要高4.7%左右,并且该系统采集精度高、性能稳定、可靠性高、成本低、功耗低,解决了一些目前人体行为识别监测系统存在的问题。     

γ射线电离辐射对商用CMOS APS性能参数的影响

研究了γ射线电离辐射效应对商用CMOS有源像素传感器(APS)性能参数的影响,着重分析了量子效率、转换增益、暗电流、坏点和脉冲颗粒噪声等参数。研究结果表明:当受到1 000 Gy辐射后,APS失去工作能力,无信号输出或像素灰度值仅为0,110,255 DN。60Coγ射线的离位截面约为10-25cm2(0.1 b)。当剂量率低于58.3 Gy/h且辐照时间较短时,辐射对量子效率及转换增益无影响,坏点产生数为0,总剂量效应使3T-APS的本底噪声升高到4.62 DN但对4T PPD APS几乎无影响。脉冲颗粒噪声引起的各灰度值像素数量分布呈泊松分布,并与剂量率正相关。     

基于不同植被指数的植被-土壤混合像元高光谱偏振信息与模型研究

高光谱遥感被越来越多的应用于确定混合像元的地物组分和比例。将不同面积比例的植被-土壤混合像元作为研究对象,使用偏振装置和 ASD FieldSpec3 光谱仪得到植被-土壤组成的混合像元的偏振反射光谱曲线,计算得到八种植被指数值,讨论不同面积比例,不同偏振角度下植被-土壤混合像元的高光谱偏振特性。研究发现,随着叶片占混合像元面积比例的增大,植被-土壤光谱曲线越来越明显地表现出植被光谱“五谷四峰”的特性,且峰值与谷底的位置与植被光谱基本相同。偏振角越大,混合像元的光谱偏振反射比越大;混合像元条件下,植被所占混合像元的面积比例越大,光谱受偏振角的影响越大。各植被指数与混合像元中植被面积大小呈线性关系,其中植被衰减指数和改进红边归一化植被指数的相关系数最大,可以达到98%左右,适合用于建立植被指数与植被占混合像元面积比例之间的相关模型。在植被面积发生变化时,改进红边比值植被指数的灵敏性更好。在利用光谱吸收特征参数进行植被指数估算时,发现吸收谷深度与光化学植被指数的二次函数模型拟合度最强,决定系数R2为0.963 3;光谱吸收指数与光化学植被指数的二次函数模型拟合度最强,决定系数R2为0.960 5。     

Sub-pixel dimensional measurement with Logistic edge model

To separate substandard workpieces from products, sub-pixel edge location with Logistic edge model is proposed for dimensional measurement. In the first step, workpiece rotation is corrected with high precision image rotation to reduce the measurement error and simplify the edge model. Secondly, Logistic edge model is utilized for fitting the discrete edge data to locate the sub-pixel workpiece edge and model parameters are estimated through the objective function in terms of the difference between assumed model and real image data. Finally, an edge pixel compensation method is presented with edge pixel compensation value, which weakens the effect of edge transition zone effectively. Experimental results demonstrate that the proposed method is effective for dimensional measurement with the relative error less than 0.05%.     

Anisotropic spin-dependent thermopower and current in ferromagnetic graphene junctions

We study the spin-dependent thermoelectric transport through two-dimensional normal/ferromagnetic/normal/ferromagnetic/normal graphene (NG/FG/NG/FG/NG) junctions. It is found that both charge and spin thermopowers depend on the FGʼs magnetization direction and exhibit an anisotropic behavior. Interestingly, the spin thermopower can be as large as the charge thermopower and even can exceed the latter in magnitude. Moreover, the pure spin thermopower and spin current emerge in this device. The results obtained here suggest a feasible way of enhancing thermospin effects and generating the pure spin current in two-dimensional graphene.