圆形均匀带电薄板电场的数值积分和可视化

利用均匀带电圆环在直角坐标系中的电势和电场强度的2个分量的公式,推导了均匀带电圆形薄板的电势和电场强度的2个分量的积分公式.将积分公式无量纲化,采用数值积分法计算电势和场强的值,绘制曲面、二维等势线和电场线.     

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.     

PI-强LU富足半群

通过对C-L^U-富足半群的刻画,给出了PI-强L^U富足半群的结构定理。     

一类Schrödinger-Poisson系统非平凡解的存在性

利用变分方法和临界点理论,研究了一类Schrödinger-Poisson系统,其中泊松项为更一般的形式,通过给非线性项加拟临界增长和AR条件,得到了该系统非平凡解的存在性。补充和推广了以往研究Schrödinger-Poisson系统的相关结果。     

基于密度自适应深度网络的点云场景语义分割算法

由于传感器噪声干扰，点云密度不均匀，场景复杂多样以及物体之间存在遮挡现象等问题，使得三维点云场景语义分割问题的研究工作极具挑战性。针对三维点云数据采样密度不均匀以及图卷积网络深度有限的问题，提出一种密度自适应的方法。该方法通过多层感知器学习一个权重函数，利用核密度估计学习一个密度函数，对非均匀采样的点云数据进行卷积操作。同时，受深度学习在图像领域的启发，引入残差连接、空洞卷积等结构，训练更深层的点云分割网络。该算法在多个点云分割的标准数据集上取得了优秀的性能。     

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.     

The Life-Cycle Model with Optimal Retiring Age and Simulation

In this paper, a life-cycle model with retirement is set up to study how an individual chooses the optimal retiring age on account of wage growth rate, longevity and healthy state. It is proved that there exists optimal retiring age under given conditions. The numerical simulations are given to show how wage growth rate, longevity and healthy state affect retiring age.