MoS2-mesoporous LaFeO3 hybrid photocatalyst: Highly efficient visible-light driven photocatalyst

Perovskite type materials have high potential photocatalytic application towards both hydrogen energy generation and organic dye degradation due to their high stability and good reusability. Here, it is the first analysis of photocatalytic degradation of RhB and hydrogen energy evolution under visible light over MoS₂/LaFeO₃ nanocomposite. The physicochemical properties of the materials were characterized using a range of techniques such as XRD, TEM, XPS, FTIR, PL, photocurrent, etc. The optical properties of the nanocomposite show good absorption in UV-Vis spectra as compared to the bare LaFeO₃. In this study, MoS₂/LaFeO₃ nanocomposite was synthesized through single step in situ hydrothermal processes with a narrow bandgap, enhanced photocatalytic application under visible light. This novel MoS₂/LaFeO₃ nanocomposite is an efficient and promising photocatalyst for both hydrogen energy evolution and organic dye degradation.     

舰艇短波通信干扰距离的计算

针对常用通信干扰距离估算方法精度不高、适应性不强且不便于利用计算机计算的问题,以短波场强计算为基础,结合舰艇通信对抗战术计算方法,推导并给出了地波最大干扰距离、天波最小和最大干扰距离的计算模型、方法和步骤,对模型进行了仿真,并通过定性分析和与实际数据的定量对比分析,验证了模型的准确性和实用性,为实际应用中利用计算机估算有效通信干扰距离提供了有效可靠方法。     

Geometrically resilient color image zero-watermarking algorithm based on quaternion Exponent moments

Although research on zero-watermarking has made great progress in recent years, most of it has been focused on grayscale images rather than color ones, and cannot resist geometric attacks efficiently. In this paper, we discuss properties of quaternion Exponent moments (QEMs) in detail and propose a robust color image zero-watermarking algorithm which is robust to geometric attacks. We first compute and select robust QEMs of the original color image, and then a binary feature image is constructed using the magnitude of the selected moments. Eventually, a bitwise exclusive-or is applied on the binary feature image and a scrambled binary logo to generate the zero-watermark image. Experimental results show that the proposed zero-watermarking algorithm is robust to both geometric attacks and common image processing attacks effectively. Compared to similar zero-watermarking algorithms and traditional watermarking algorithms based on QEMs, the proposed zero-watermarking algorithm has better performance.     

Gaussian-Hermite moment-based depth estimation from single still image for stereo vision

Depth information of objects plays a significant role in image-based rendering. Traditional depth estimation techniques use different visual cues including the disparity, motion, geometry, and defocus of objects. This paper presents a novel approach of focus cue-based depth estimation for still images using the Gaussian-Hermite moments (GHMs) of local neighboring pixels. The GHMs are chosen due to their superior reconstruction ability and invariance properties to intensity and geometric distortions of objects as compared to other moments. Since depths of local neighboring pixels are significantly correlated, the Laplacian matting is employed to obtain final depth map from the moment-based focus map. Experiments are conducted on images of indoor and outdoor scenes having objects with varying natures of resolution, edge, occlusion, and blur contents. Experimental results reveal that the depth estimated from GHMs can provide anaglyph images with stereo quality better than that provided by existing methods using traditional visual cues.     

乙烯-乙烯醇基大分子型强化交联剂的合成与应用

通过酯化反应制备了乙烯-乙烯醇.丙烯酸(EVOH-AA)接枝型材料,并用红外光谱对接枝产物进行了袁征.凝胶抽提结果表明,由于乙烯基双键的引入,难于辐射交联的EVOH在较低的辐射剂量下就可以辐射交联.具备成为强化交联剂的可能.通过研究改性EVOH与聚乳酸共混物的辐射效应,发现聚乳酸进入交联网格,证明改性EV0H具有一定的...     

海上远景小目标检测方法的研究

海水本身运动的复杂性以及海水与其它环境因素所产生的干扰物理场,往往使得海上小目标的探测尤为困难.因此,以可见光图像序列中海面小目标检测为研究对象,提出了核函数-马尔科夫随机场(Markov Random Fields,MRF)前景分割模型.该模型利用所提出的邻域相关核函数背景模型对图像序列的求解结果作为MRF的观测值,...     

多状态电子装备可靠性评估方法研究

电子装备潜隐性故障是工程实践中的客观存在,正确评估多态电子装备的可靠性状态是进行潜隐性故障分析的前提.在考虑电子装备"安全-潜在故障-故障"三种工作状态的基础上,建立了多状态电子装备状态模型,提出了基于贝叶斯网络的多状态电子装备可靠性评估方法,实现了对系统可靠性状态的有效评估.实例分析表明,多状态贝叶斯网络可靠性评估模...     

基于PNN的舵机故障诊断方法研究

随着科技的发展,舵机在不断提升性能的同时,其复杂性也大幅度提高,故障现象与故障本身并非简单的映射关系,设备故障诊断实质上是典型的复杂非线性分类问题。提出一种利用概率神经网络对舵机故障分类的方法,将从舵机振动信号中的提取特征值作为PNN的输入参数,构造出基于概率神经网络的舵机故障诊断方法。仿真结果显示,该网络工作稳定,运算速度快,对舵机故障分类准确率较高。     

基于噪声估计和双加权的彩色图像矢量中值滤波

针对彩色图像椒盐噪声滤除中保护色彩和细节这个关键问题,提出了一种基于噪声估计和双加权的滤波新算法.噪声估计采用二级估计策略,第1级基于灰度最大、最小值进行粗估计,第2级采用加权方向算子进行精估计.对非噪声点保持像素灰度不变,对噪声点设计了空间和灰度双加权的矢量中值滤波算法(VMF).实验结果表明,新算法对低、中密度的彩...     

战术数据链在超视距导弹攻击中的应用分析

针对超视距导弹攻击中战术数据链的性能分析,提出了数据传输误码率与传输可靠性、数据传输时延、多普勒频移及其校正的解决方法,为提高数据链的战术性能、确保超视距导弹的精确打击奠定了分析基础.