红外增强器与干扰弹

介绍了红外增强器和干扰弹的辐射特性, 及其在光电对抗系统中的作用, 给出两类光谱辐射特性曲线、光谱辐射数据、红外热辐射特征、时域变化特性曲线等, 介绍了选用的基本原则并提出使用时应注意的事项。     

对某自动机双路供弹机的分析

以某双路供弹机为研究对象，分析了火药燃气驱动、弹链供弹、横向移动式双路供弹机的工作原理和结构特点，通过对计算结果的分析得出，扭簧是供弹机构中不可缺少的构件，并对供弹方式提出了改进建议。     

无人战斗机综合控制系统自动机动轰炸仿真研究

通过对无人战斗机进行综合火力/飞行控制系统设计,对无人战斗机在自动机动攻击方式下进行了仿真.从仿真结果可以看出,所提出的综合方案是适用、可行、有效的.把火力飞行综合控制系统应用到无人战斗机,提高了无人机的攻击精度,减少了遥控指挥人员的干预.     

Image Restoration Using Hybrid Features Improvement on Morphological Component Analysis

Images are generally corrupted by impulse noise during acquisition and transmission. Noise deteriorates the quality of images. To remove corruption noise, we propose a hybrid approach to restoring a random noise-corrupted image, including a block matching 3D (BM3D) method, an adaptive non-local mean (ANLM) scheme, and the K-singular value decomposition (K-SVD) algorithm. In the proposed method, we employ the morphological component analysis (MCA) to decompose an image into the texture, structure, and edge parts. Then, the BM3D method, ANLM scheme, and K-SVD algorithm are utilized to eliminate noise in the texture, structure, and edge parts of the image, respectively. Experimental results show that the proposed approach can effectively remove interference random noise in different parts; meanwhile, the deteriorated image is able to be reconstructed well.     

等离子喷涂过程中飞行颗粒熔化状态的数值仿真

利用数值仿真方法,针对2r02陶瓷颗粒,分析讨论了等离子喷涂过程中飞行颗粒的表面温度变化过程,以及不同直径颗粒内部的受热状态、温度梯度变化以及相变过程。并在此基础上,进一步对喷涂距离进行了分析,确定了在何种情况下,才能达到理想的喷涂效果。研究方法与结果对于实际的喷涂工艺生产具有指导意义。     

装备现役改装实战化检验应强化四环节

为解决应急培训与部队使用存在的瓶颈,对装备现役改装实战化检验进行研究.结合炮兵指挥系统部队现役装备改装及现场检验工作实际,在深刻理解实战化含义的基础上,系统梳理归纳大型复杂装备现役改装过程,实战化检验工作还需在方案设计、系统联调检验、改装步骤、培训与使用4个环节进行强化完善.该研究能进一步提升装备的质量性能和军事效用,可对今后部队现役装备的实战化检验起到示范作用.     

ED-SWE: Event detection based on scoring and word embedding in online social networks for the internet of people

Online social media networks are gaining attention worldwide, with an increasing number of people relying on them to connect, communicate and share their daily pertinent event-related information. Event detection is now increasingly leveraging online social networks for highlighting events happening around the world via the Internet of People. In this paper, a novel Event Detection model based on Scoring and Word Embedding (ED-SWE) is proposed for discovering key events from a large volume of data streams of tweets and for generating an event summary using keywords and top-k tweets. The proposed ED-SWE model can distill high-quality tweets, reduce the negative impact of the advent of spam, and identify latent events in the data streams automatically. Moreover, a word embedding algorithm is used to learn a real-valued vector representation for a predefined fixed-sized vocabulary from a corpus of Twitter data. In order to further improve the performance of the Expectation-Maximization (EM) iteration algorithm, a novel initialization method based on the authority values of the tweets is also proposed in this paper to detect live events efficiently and precisely. Finally, a novel automatic identification method based on the cosine measure is used to automatically evaluate whether a given topic can form a live event. Experiments conducted on a real-world dataset demonstrate that the ED-SWE model exhibits better efficiency and accuracy than several state-of-art event detection models.     

基于时空相关性检测的视频序列动目标检测方法

在充分分析了现有算法在复杂背景下所存在的不足的基础上，提出了一种基于视频序列像素时空相关性检测的动目标检测方法。该方法首先用每一帧中像素的空间相关性检测出目标；再用序列图象中目标的时间相关性检验目标的真实性。实验表明，该方法能很好地检测出运动目标，并具有较强的抗干扰能力。     

自旋电子学及其器件

1988年Fert与Grunberg科研小组彼此独立地在铁/铬多层膜纳米结构中发现了高达50％的磁电阻效应,从此自旋电子学诞生了.目前,自旋电子学已经发展出磁读头、磁电隔高耦合器、磁随机存储器(MRAM)、微波探测器等器件,年产值近1000亿美元.同时,通过与其它学科的结合,半导体自旋电子学、有机自旋电子学等均成为物理研究的前沿.因此,大量中外院士与专家认为自旋电子学及器件很有可能成为世界第四次产业革命的导火索.     

基于信息量估计法的MIDI音频隐写分析

为了保障网络信息安全,提出一种针对MIDI格式的专用音频隐写分析算法具有重要的意义。分析了MIDI音频LSB替换机制,提取特征量力度值进行统计分析,采用信息量估计法针对MIDI音频进行LSB隐写检测分析。实验表明,信息量估计法在嵌入率较大时,漏检率和虚警率都较低,可以作为MIDI音频的专用隐写分析方法。