基于GAN的通信干扰波形生成技术

现有通信干扰方法, 通常基于通信侦察中获取的目标信号特征进行干扰决策, 选取合适的干扰波形实施干扰, 难以应对目标信号特征未知或参数动态变化的情况。为此, 提出一种基于生成对抗网络(generative adversarial networks, GAN)的通信干扰波形生成技术, 运用GAN直接提取目标信号的潜在特征, 并生成与目标信号特征相似的干扰波形。在介绍GAN原理的基础上, 首先设计网络模型, 并对学习率进行优化, 使GAN更适用于时间序列通信干扰波形的生成。然后通过对不同类型和参数的通信信号进行干扰波形生成实验, 验证了该技术的泛化性。最后进行干扰效果对比试验, 结果表明, GAN生成的干扰波形干扰效果能够逼近最佳干扰效果。     

基于地形遮蔽的自旋弹测高雷达回波建模与仿真

为解决导弹自旋运动模型复杂、建模计算量大的问题, 建立了一种新的导弹自旋运动模型。在该运动模型的基础上, 考虑了地形起伏对弹载测高雷达回波遮挡的影响, 利用仿真地形, 采用地形遮蔽算法, 建立地形遮挡下的雷达回波模型, 仿真得到不同高度下的雷达回波图和频谱图。通过对回波的分析、得到在高度为10 km, 雷达斜照射角度超过65.3°时, 地形起伏对于雷达回波有显著遮蔽影响雷达回波发生频谱搬移等若干结论。该结论与实际情况一致, 验证了模型的准确性, 为后续弹载测高雷达回波模拟提供一定的理论支撑。     

Improving the photocatalytic activity of graphitic carbon nitride by thermal treatment in a high-pressure hydrogen atmosphere

Extending visible light absorption range and suppressing the recombination of photogenerated charge carriers are always important topics in developing efficient solar-driven photocatalysts. In this study, the thermal treatment process at 400 °C in a high-pressure hydrogen atmosphere was applied to modify graphitic carbon nitride. Compared to the normal atmospheric hydrogen treatment process, this process has the merit of producing nitrogen deficient graphitic carbon nitride in high-yield. The optimal photocatalytic activity of modified graphitic carbon nitride was demonstrated by controlling the treatment duration in the hydrogen atmosphere.The changes in the crystal structure, microstructure and optical properties of carbon nitrides were investigated by several characterizations. The relationship between the photocatalytic activity and structures of graphitic carbon nitride was preliminarily established. The results obtained in this study could provide some new ways of improving the activity of graphitic carbon nitride based photocatalyst.     

Bidirectional Feedback Dynamic Particle Filter with Big Data for the Particle Degeneracy Problem

Particle Filter(PF) is a data assimilation method to solve recursive state estimation problem which does not depend on the assumption of Gaussian noise, and is able to be applied for various systems even with non-linear and non-Gaussian noise. However, while applying PF in dynamic systems, PF undergoes particle degeneracy,sample impoverishment, and problems of high computational complexity. Rapidly developing sensing technologies are providing highly convenient availability of real-time big traffic data from the system under study like never before. Moreover, some sensors can even receive control commands to adjust their monitoring parameters. To address these problems, a bidirectional dynamic data-driven improvement framework for PF(B3 DPF) is proposed.The B3 DPF enhances feedback between the simulation model and the big traffic data collected by the sensors,which means the execution strategies(sensor data management, parameters used in the weight computation,resampling) of B3 DPF can be optimized based on the simulation results and the types and dimensions of traffic data injected into B3 DPF can be adjusted dynamically. The first experiment indicates that the B3 DPF overcomes particle degeneracy and sample impoverishment problems and accurately estimates the state at a faster speed than the normal PF. More importantly, the new method has higher accuracy for multidimensional random systems.In the rest of experiments, the proposed framework is applied to estimate the traffic state on a real road network and obtains satisfactory results. More experiments can be designed to validate the universal properties of B3 DPF.     

粉末冶金法制备混杂增强铜基复合材料的增强体竞争析出行为研究

Copper matrix composites reinforced by in situ-formed hybrid titanium boride whiskers (TiB_w) and titanium diboride particles (TiB_2p) were fabricated by powder metallurgy. Microstructural observations showed competitive precipitation behavior between TiB_w and TiB_2p, where the relative contents of the two reinforcements varied with sintering temperature. Based on thermodynamic and kinetic assessments, the precipitation mechanisms of the hybrid reinforcements were discussed, and the formation of both TiB_w and TiB_2p from the local melting zone was thermodynamically favored. The precipitation kinetics were mainly controlled by a solid-state diffusion of B atoms. By forming a compact compound layer, in situ reactions were divided into two stages, where Zener growth and Dybkov growth prevailed, respectively. Accordingly, the competitive precipitation behavior was attributed to the transition of the growth model during the reaction process.     

大传统与小传统:明清时期鲁西地区的碧霞元君信仰

明清时期鲁西地区是碧霞元君信仰极为盛行的地区,呈现出庙宇数量众多、分布地域广泛等特征.地方官员和士绅对碧霞元君信仰大多持默许和认可态度,并试图借助祀神活动传达官方祭祀理念,进行社会教化.地方官员和士绅关于泰山碧霞元君信仰的不同态度,反映了他们对于地方社会道德秩序的关注,表达了他们试图用官方正统文化去改造民间文化的强烈愿望.相较地方官员和士绅,普通民众崇祀神灵的目的则较为简单,带有显著的世俗性和功利性的特征.在满足其自身信仰需求同时,神灵信仰也起到了增强社会凝聚力、强化地域认同的作用.地方家族也利用重修庙貌、祭祀神灵等手段,实现庙宇与宗族的结合,以此达到增强家族凝聚力和认同感的目的.基于各自不同的目的和需要,官员、士绅和民众共同参与到信仰活动之中,使得信仰在地方社会不断得以延续和传承.     

Most Likely Optimal Subsampled Markov Chain Monte Carlo

Journal of Systems Science and Complexity - Markov Chain Monte Carlo (MCMC) requires to evaluate the full data likelihood at different parameter values iteratively and is often computationally...     

超长波天文观测微卫星宽带有源天线设计

月球轨道超长波天文观测微卫星(path finder of discovering the sky at the longest wavelengths,DSL-P)是国际首次开展绕月轨道超长波干涉技术验证实验。DSL-P工作频率1~30 MHz,其关键技术之一为宽带有源天线。介绍了DSL-P宽带有源天线的方案,重点分析其噪声特性,通过仿真和测试获取有源天线的噪声性能,分析宽带有源天线对系统设计指标的满足度。研究表明,用于超长波观测的宽带有源天线并不是传统意义上的被动天线和前置放大器的组合,其主要作用是阻抗匹配,并可兼顾噪声要求。     

春节模型的效应期识别方法研究

春节模型的参数设定目前更多依赖于研究者的主观判断.为解决这一问题,本文首先介绍了春节因素调整的一般过程以及模型设定和检验的相关细节.在此基础上,提出一种基于"循环遍历"方式和序贯检验方法来自动选择春节模型的最优参数组合的新思路.并以社会消费品零售总额月度序列的春节模型的最优效应期长度识别为例,检验该方法的可行性和有效性.实证结果显示,基于季节峰值、离群值点、Q统计量、AICC值和BIC值等统计量的序贯检验能够有效识别出春节模型的最优效应期长度,进而改善春节模型的季节调整性能.     

Side-Channel Attacks in a Real Scenario

Existing Side-Channel Attacks(SCAs) have several limitations and, rather than to be real attack methods,can only be considered to be security evaluation methods. Their limitations are mainly related to the sampling conditions, such as the trigger signal embedded in the source code of the encryption device, and the acquisition device that serves as the encryption-device controller. Apart from it being very difficult for an attacker to add a trigger into the original design before making an attack or to control the encryption device, there is a big gap in the capacity of existing SCAs to pose real threats to cipher devices. In this paper, we propose a new method, the sliding window SCA(SW-SCA), which can be applied in scenarios in which the acquisition device is independent of the encryption device and for which the encryption source code requires no trigger signal or modification. First,we describe the main issues in existing SCAs, then we theoretically analyze the effectiveness and complexity of our proposed SW-SCA —a method that can incorporate a sliding-window mechanism into almost all of the existing non-profiled SCAs. The experimental results for both simulated and physical traces verify the effectiveness of the SW-SCA and the appropriateness of its theoretical complexity.