基于图像块均值量化的自适应盲水印算法

提出了一种新的基于图像分块DWT的自适应盲水印算法。算法以一幅有意义的二值水印图像为水印信号。同时,利用了Hilbert扫描能很好地保持图像空间局部连接性的特点。在图像块的Hilbert序列中选取相邻的3个分块分别进行一层小波变换,计算各分块对应子带的均值并比较大小,根据较大和较小的两个均值决定的步长,调整另外一个均值对应子带系数的大小,从而完成自适应的嵌入水印信号。而且,水印的提取无需原始图像参与,达到真正的盲水印。实验结果表明,该算法是有效的,水印具有较好的不可见性,对通常的图像处理操作和裁剪、挤压、像素移位等几何攻击有较强的鲁棒性.     

基于派生文法的日—蒙动词短语机器翻译研究

本文探索了源语为日语,目标语为蒙古语的动词短语机器翻译系统的实现方式。基于主张日语不活用的派生文法,重新分析日语附加成分。将日语的词干和附加成分转换到蒙古语的词干和附加成分之后,运用蒙古语的语音规则来处理并生成动词短语。在此基础上试做了日—蒙动词短语机器翻译系统。对30篇日文报道的403个动词短语进行测试,取得了95.78% 的正确率。     

AUTOCAD的二次开发中对实体操作功能的设计

如今,CAD（计算机辅助设计）技术已被各制造业广泛应用。而美国的AutoCAD是目前在Windows环境下应用最广泛、使用人数最多的CAD支撑软件。本次设计是在论证了CAD二次开发的可行性并比较了AutoCAD各开发系统的优劣之后,选择Object ARX开发平台,用C／C＋＋对AutoCAD软件进行的二次开发。本系统设计工作共分数据库构建、文件读写、操作功能实现和交互式界面四部分。最终完成的软件是一个具备初步的CAD软件结构、用户接口和操作方式的CAD系统,此软件随AutoCAD的启动自动运行,能够实现“读写文件”和“交互式创建、删除和修改直线实体”等功能。     

基于LPC2292的汽车智能组合仪表

介绍了一种汽车智能组合仪表的设计.讨论了汽车智能仪表的结构和功能,分析了系统的软件设计.该仪表以基于ARM7的微控制器LPC2292微控制器为控制核心.采用源代码开放的嵌入式实时操作系统μC/OS-Ⅱ作为应用程序的开发平台,实时显示和保存车速、发动机转速、水温、油位、总里程、子里程等车况参数,使汽车具有"黑匣子"功能.采用CAN总线建立通信网络.与传统汽车仪表相比.该仪表具有功能丰富、可靠性高、可视性好、通用性强等优点.     

Tuning the band gap of the CIGS solar buffer layer Cd1-xZnxS (x=0—1) to achieve high efficiency

To evaluate the impact of zinc sulfate (ZnSO4) concentration on the structural properties of the films, Cd1-xZnxS thin films were formed on glass substrates using chemical bath deposition (CBD) in this study. The effect of ZnSO4 precursor concentration on the surface morphology, optical properties, and morphological structure of the Cd1-xZnxS films was investigated. To study the impact of zinc doping content on the performance metrics of Cu(In1-xGax)Se2 (CIGS) cells in the experimental group and to improve the buffer layer thickness, simulations were run using one-dimensional solar cell capacitance simulator (SCAPS-1D) software.     

基于1.55μm激光雷达的晴空风切变结构研究北大核心CSCD

晴空风切变是公认的航空危险天气。为了研究155μm激光测风雷达对晴空风切变的探测效果,利用激光测风雷达数据,结合自观系统实时风场数据,对2022年2月13日影响银川机场的晴空风切变过程进行详细分析。激光雷达探测结果表明风切变发生前高空偏北风有下沉特征,动量下传导致地面北风增强;此次风切变由东北风与西南风交汇形成,东北大风呈楔形从近地层嵌入,形成水平风切变,随后向西南传播影响机场跑道。预报员利用激光测风雷达可以提前15min对此次风切变进行预警。     

140 GHz回旋管高转换效率准光模式变换器设计研究（英文）

成功实现高转换效率的140 GHz TE22,6准光模式变换器原型设计。基于周期微扰原理设计Denisov辐射器,实现低边缘绕射的初级出射波束。针对三镜面光路系统,采用全矢物理光学积分作为主要计算手段,围绕主极化场分量进行三级相位修正面迭代优化,实现高出射高斯纯度的模式场转换,其中一级镜的修正有效改善了辐射器出射的不理想性。基于全矢数值仿真确认,相比原二次曲面原型设计,相位修正后的变换器系统的出射高斯纯度从92.7%提高到99.6%,结合98.8%以上的功率传递效率,实现了性能优越的高阶回旋管准光模式变换器原型设计。     

Blood cell counting based on U-Net++ and YOLOv5

Clinical information about a variety of disorders is available through blood cell counting, which is usually done by manual methods. However, manual methods are complex, time-consuming and susceptible to the subjective experience of inspectors. Although many efforts have been made to develop automated blood cell counting algorithms, the complexity of blood cell distribution and the highly overlapping nature of some red blood cells (RBCs) remain significant challenges that limit the improvement of analytical accuracy. Here, we proposed an end-to-end method for blood cell counting based on deep learning. Firstly, U-Net++ was used to segment the whole blood cell image into several regions of interest (ROI), and each ROI contains only one single cell or multiple overlapping cells. Subsequently, YOLOv5 was used to detect blood cells in each ROI. Specifically, we proposed several strategies, including fine classification of RBCs, adaptive adjustment for non-maximal suppression (NMS) threshold and blood cell morphology constraints to improve the accuracy of detection. Finally, the detection outcomes for each ROI were combined and superimposed. The results show that our method can effectively address the issue of high overlap and precisely segment and detect blood cells, with a 98.18% accuracy rate for blood cell counting.     

Weak signal detection and adaptive synchronous stability of a novel fifth-order memristive circuit system

This paper is devoted to introduce a novel complex fifth-order memristive circuit system and its applications in synchronous stability and weak signal detection. Firstly, the typical dynamical behaviors of the memristive system are discussed by chaotic phase portrait, complexity analysis, one-parameter bifurcation and Lyapunov exponent spectrum. Secondly, the adaptive control method is applied to realize the synchronization between the drive memristive system (DMS) and the response memristive system (RMS). The results indicate that the synchronization method has strong robustness and anti-interference ability. Thirdly, the weak signal detection of the novel five-dimensional memristive system is realized by using the extreme sensitivity of chaotic system to initial values. Finally, the fifth-order memristive circuit is designed by using basic electronic elements and simulated by Multisim software. And the anti-interference ability and sensitivity of the fifth-order memristive circuit are further verified by adding different weak disturbance signals at different positions of the circuit.     

An improved U-Net for cell confluence estimation

Cell confluence is an important metric to determine the growth and the best harvest time of adherent cells. At present, the evaluation of cell confluence mainly relies on experienced labor, and thus it is not conducive to the automated cell culture. In this paper, we proposed an improved U-Net algorithm (called DU-Net) for the segmentation of adherent cells. First, the general convolution was replaced by the dilated convolution to expand the receptive fields for feature extraction. Then, the convolutional layers were combined with the batch normalization layers to reduce the dependence of the network on initialization. As a result, the segmentation accuracy and F1-score of the proposed DU-Net for adherent cells with low confluence (<50%) reached 96.94% and 93.87%, respectively, and for those with high confluence (≥50%), they reached 98.63% and 98.98%, respectively. Further, the paired t-test results showed that the proposed DU-Net was statistically superior to the traditional U-Net algorithm.