特征提取在硅内部微/纳米级体缺陷检测中的应用

提出了一种利用特征提取来对硅中微/纳米级体缺陷的激光散射图样进行分析,以获得缺陷大小信息的分析方法.给出了该方法中第一特征值和第二特征值的定义,指出通过所提出的第一特征值及第二特征值即可迅速地判断出缺陷的大小量级所在.这种分析方法具有分析速度快,在体缺陷小于1μm时分辨率高,且可使系统实现自动化等优点.     

模拟燃气射流场的莫尔偏折显示及定量测试

在实验室条件下,制作了模拟膛口高速射流的装置.应用莫尔偏折法对双基发射药膛口燃气射流场进行了显示及定量测试研究.整套莫尔显示及测试系统由激光光源、莫尔偏折仪、CCD、监视器、图像存储和处理系统以及586计算机等组成.应用莫尔偏折层析技术定量计算并再现了膛口双基发射药燃气射流场的温度分布.     

基于Haenni方法的证据冲突原因分析

由于Dempster组合规则所存在的不足,在组合冲突信息时,会得出与直觉相反的结论。针对Zadeh悖论,Haenni给出了反驳,但冲突产生的原因分析不够全面。鉴于此,本文在他们的基础上,总结出冲突产生的原因,它不仅与传感器受干扰有关,与识别框架不完整也有关系,其中识别框架不完整还包括框架中的元素不详尽,出现了新目标和在两两证据进行推理过程中目标丢失导致的潜在冲突。     

基于遗传算法的Kriging元模型及其在模拟集成电路优化设计中的应用

提出了建立电路Kriging元模型,并与遗传算法相结合确定电路参数,优化电路的方法.相对传统多项式回归模型,Kriging模型更适合电路仿真的实验类型;利用遗传算法,解决了基于Kriging元模型电路系统的全局优化问题.最后将该方法应用于带隙基准电路设计,取得令人满意的结果.     

2μm激光晶体Ho:YAP理论及实验分析

介绍了一种适合于掺杂Ho3+的激光基质,Ho:YAlO3(Ho:YAP)。这种基质相对于现阶段常用的Ho:YAG、Ho:YLF、Ho:GdVO4有着较为明显的优势,吸收谱线较宽、吸收截面大、各向异性、生长周期短、输出功率不易饱和等。通过计算证明了Ho:YAP作为激光晶体的可能性,并实验研究了Ho:YAP这种新激光晶体的输出特性。当注入Tm:YLF的功率为15.6 W时,得到8.57 W连续输出的、波长为2 118 nm的Ho:YAP激光。斜率效率达到63.7%,Tm:YLF到Ho:YAP的转换效率为54.5%,光束质量因子M2为1.39。     

利用颜色滤波矩阵估计原图的拼接定位盲取证方法

图像拼接是伪造数字图像最基本的操作,对其的被动盲检测和定位也是数字图像取证亟待解决的关键问题之一。该文通过对图像进行颜色滤波矩阵插值,对图像进行了原图估计,重建其像素邻域一致性。利用待取证图像的边缘点在像素邻域一致性上偏离估计的原始图像的程度,对图像的拼接进行准确定位。实验表明,该方法能够有效地检测图像拼接伪造区域的位置、大小和形状。     

Revealing the Impact of F4‐TCNQ as Additive on Morphology and Performance of High‐Efficiency Nonfullerene Organic Solar Cells

Fluorinated molecule 2,3,5,6‐tetrafluoro‐7,7,8,8‐tetracyanoquinodimethane (F4‐TCNQ) and its derivatives have been used in polymer:fullerene solar cells primarily as a dopant to optimize the electrical properties and device performance. However, the underlying mechanism and generality of how F4‐TCNQ affects device operation and possibly the morphology is poorly understood, particularly for emerging nonfullerene organic solar cells. In this work, the influence of F4‐TCNQ on the blend film morphology and photovoltaic performance of nonfullerene solar cells processed by a single halogen‐free solvent is systematically investigated using a set of morphological and electrical characterizations. In solar cells with a high‐performance polymer:small molecule blend FTAZ:IT‐M, F4‐TCNQ has a negligibly small effect on the molecular packing and surface characteristics, while it clearly affects the electronic properties and mean‐square composition variation of the bulk. In comparison to the control devices with an average power conversion efficiency (PCE) of 11.8%, inclusion of a trace amount of F4‐TCNQ in the active layer has improved device fill factor and current density, which has resulted into a PCE of 12.4%. Further increase in F4‐TCNQ content degrades device performance. This investigation aims at delineating the precise role of F4‐TCNQ in nonfullerene bulk heterojunction films, and thereby establishing a facile approach to fabricate highly optimized nonfullerene solar cells.     

Deep reinforcement learning based resource allocation algorithm in cellular networks

In order to solve multi-objective optimization problem,a resource allocation algorithm based on deep reinforcement learning in cellular networks was proposed.Firstly,deep neural network (DNN) was built to optimize the transmission rate of cellular system and to complete the forward transmission process of the algorithm.Then,the Q-learning mechanism was utilized to construct the error function,which used energy efficiency as the rewards.The gradient descent method was used to train the weights of DNN,and the reverse training process of the algorithm was completed.The simulation results show that the proposed algorithm can determine optimization extent of optimal resource allocation scheme with rapid convergence ability,it is obviously superior to the other algorithms in terms of transmission rate and system energy consumption optimization.     

面向电机测温的嵌套结构管式光纤光栅传感器

针对电机内部实时测温的需求,设计了一种嵌套结构的管式光纤光栅传感器.该传感器使用陶瓷基片作为内层结构,以304不锈钢管作为保护外层,采用飞秒激光刻写的纯石英光纤光栅作为测温敏感元件.搭建了恒温油浴光纤传感测试系统,采用循环升降温的方法对其进行了温度特性研究,结果表明该传感器测温性能良好,升降温实验的线性相关系数均为0.999 9,在长期的循环实验中波长重复性为士2 pm,迟滞误差小于5 pm,有较高的可靠性,可用于电机内部的温度监测.     

All-spray-coated semitransparent inverted organic solar cells: From electron selective to anode layers

We demonstrated an all-solution-processed electron selective layer, active layer and top electrode for large-area inverted organic solar cells. The fabricated devices are semitransparent, fully spray-coated, highly efficient and air-stable, with power efficiencies of 2.41% and 1.0% for cell areas of 0.36 and 15.25 cm², respectively. The shelf life of the cells in air is demonstrated by the ∼80% retention of original cell efficiency after 30 days.