基于超混沌的RBF神经网络图像自适应水印算法
为了更好地保护图像版权信息,本工作结合超混沌系统和RBF神经网络,提出一种基于超混沌的RBF神经网络模型加密算法,根据JND(最小可视觉误差)模型实现水印的自适应嵌入,并应用RBF神经网络进行水印信息盲检测。实验研究表明:该算法复杂度较低、容易实现,并且具有良好的安全性、不可感知性和鲁棒性。
Improvement of the Ocean Pollutant Transport Model by Using the Surface Spline Interpolation
The independent point scheme (IPS) is applied to inverting initial condition with the adjoint method for the ocean pollutant transport model in this work. As an improvement, the …
Xiaolong Zong
Source and Origin of the Interfacial Dzyaloshinskii-Moriya Interaction in a Heavy-Metal|magnetic-Insulator Bilayer
The interfacial Dzyaloshinskii-Moriya interaction (iDMI) was observed in the bilayer consisting of a heavy metal and a ferromagnetic insulator such as Pt vertical bar Tm3Fe5O12 …
Yong Zhao
Robust and Effective Mesh Denoising Using Sparse Regularization
Mesh denoising is of great practical importance in geometric analysis and processing. In this paper we develop a novel L0sparse regularization method to robustly and reliably …
Yong Zhao
Initiation and Evolution of Elevated Convection in a Nocturnal Squall Line Along the Meiyu Front
Observations and analyses from the Variational Doppler Radar Assimilation and Analysis System (VDRAS) were used to investigate the convection initiation mechanism of a nocturnal …
Kai Ma
Contrasts of Bimodal Tropical Instability Waves (TIWs)-Induced Wind Stress Perturbations in the Pacific Ocean among Observations, Ocean Models, and Coupled Climate Models
The coupling between wind stress perturbations and sea surface temperature(SST)perturbations induced by tropical instability waves(TIWs) in the Pacific Ocean has been revealed …
Kai Ma
一类整车物流问题优化模型的研究
从整车物流的具体实例出发,首先,根据给定的轿运车和乘用车的规格,以轿运车运能最大化为目标,求得轿运车的最佳配载方案;其次,以多目的地不同订单需求等为约束,以轿运车使用数量最少和成本最低为目标函数,建立整车配载运送优化模型;最后,利用整单和零单的思想和方法,对优化模型求解,得出轿运车的最佳配载运送方案.所提出的求解方法能大大缩小解的搜索空间,提高运算效率,对解 …