用于多指数拟合的一种混沌免疫粒子群优化

为了更好地逼近真实物理场景,对传统的多指数模型作了一些改进,将权因子设置为噪声方差平方的倒数,提出一种基于循环矩阵(CM)的算法用于估计衰减项数.为了求解上述改进模型,提出一种混沌免疫粒子群优化(CIPSO)算法.该算法将人工免疫系统中的克隆、交叉、变异和接收器修正算法嵌入粒子群算法中,并采用混沌算子实现变异,然后将惯性因子改为自适应变化.实验表明:提出的权因子设置更符合实际;用于估计项数的CM算法在估计精度与运行时间上均优于传统的ILS算法;CIPSO算法在收敛精度与运行时间上也优于传统的优化算法,如可信域法、LM法、高斯-牛顿法、差分进化算法和粒子群算法等.     

一种基于IP多播的MPEG-4实时网络监控系统

监控系统的应用领域越来越广泛,尤其对网络监控的需求日益增加,网络监控系统具有数据量大和客户分散等特点,对带宽和实时性都有很高的要求．IP多播技术不但节省了宝贵的网络带宽,减少了网络流量,而且有效地减轻了服务器和网络上非接收点的负担．     

试论齐梁东宫武官体系及其变化

齐梁是东宫武装体系的继承与变化期,南齐恢复宋初东宫武官体系,但员额发生削减,这一变化与太子侍从类职官员额的削减相对应。南齐沿袭两晋的武职文授的特征,并扩大到东宫次一级武官身上。萧梁继承了宋、齐的武官体系,在天监官制中,形成了更加严格的对应统属关系,东宫武装的整体地位得到提高。     

基于BP神经网络的轨道基桩识别

运用BP神经网络对用CCD拍到的基桩图片进行识别,包括BP神经网络的输入、输出层的设计,隐层节点的选取等。实验结果表明,经大量基桩样本的训练后,BP神经网络能将拍到图片中的基桩有效地识别出来,且达到较高的正确率。     

基于ASP.NET的网络教学系统的开发与实现

提出了智能化网络教学系统的基本功能需求。结合ASP.NET开发的特点和软件工程的思想,进行了较详细的系统需求分析。结合计算机文化基础课程的需要,设计实现了一个智能网络教学系统。系统采用B/S体系结构,注重良好的可扩展性,采用模块化设计方法,将其划分为教师子系统,网上答疑子系统,在线测试子系统等功能模块。解决了当前应用需求,并为进一步研究工作奠定了基础。提出了开发"通用智能化网络教学系统应用平台"的想法和思路。     

Hamiltonian Systems and Darboux Transformation Associated with a 3 × 3 Matrix Spectral Problem

Starting from a 3 × 3 matrix spectral problem, we derive a hierarchy of nonlinear equations. It is shown that the hierarchy possesses bi-Hamiltonian structure. Under the symmetry constraints between the potentials and the eigenfunctions, Lax pair and adjoint Lax pairs including partial part and temporal part are nonlinearied into two finitedimensional Hamiltonian systems (FDHS) in Liouville sense. Moreover, an explicit N-fold Darboux transformation for CDNS equation is constructed with the help of a gauge transformation of the spectral problem.     

Error Performance of Amplitude Shift Keying-Type Asymmetric Quantum Communication Systems

We propose an amplitude shift keying-type asymmetric quantum communication (AQC) system that uses an entangled state. As a first step toward development of this system, we evaluated and considered the communication performance of the proposed receiver when applied to the AQC system using a two-mode squeezed vacuum state (TSVS), the maximum quasi-Bell state, and the non-maximum quasi-Bell state, along with an asymmetric classical communication (ACC) system using the coherent state. Specifically, we derived an analytical expression for the error probability of the AQC system using the quasi-Bell state. Comparison of the error probabilities of the ACC system and the AQC systems when using the TSVS and the quasi-Bell state shows that the AQC system using the quasi-Bell state offers a clear performance advantage under specific conditions. Additionally, it was clarified that there are cases where the universal lower bound on the error probability for the AQC system was almost achieved when using the quasi-Bell state, unlike the case in which the TSVS was used.     

An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher

In order to improve the transmission efficiency and security of image encryption, we combined a ZUC stream cipher and chaotic compressed sensing to perform image encryption. The parallel compressed sensing method is adopted to ensure the encryption and decryption efficiency. The ZUC stream cipher is used to sample the one-dimensional chaotic map to reduce the correlation between elements and improve the randomness of the chaotic sequence. The compressed sensing measurement matrix is constructed by using the sampled chaotic sequence to improve the image restoration effect. In order to reduce the block effect after the parallel compressed sensing operation, we also propose a method of a random block of images. Simulation analysis shows that the algorithm demonstrated better encryption and compression performance.     

基于相似性理论的弹药相似性分析

在介绍相似理论的相关问题的基础上,着重介绍了权重值的计算方法,进而给出了系统相似度的概念和公式。并举实例说明了利用相似理论计算弹药相似度精确值的可能性及在具体计算过程中需要考虑的一些问题。     

基于CEBUS总线的交通灯控制系统

介绍了一种基于CEBUS总线的交通灯控制系统。该系统采用扩频电力线载波通信技术实现了现代交萼灯的“无绳”控制,具有体积小、功耗低、性能稳定、配置灵活的特点。