Detecting changes of the Yellow River Estuary via SAR images based on a local fit-search model and kernel-induced graph cuts

The Yellow River Estuary area of China is under great pressure from both human intervention and natural processes. For analysis of the changes in this area, this article presents a novel change-detection method based on a local fit-search model and kernel-induced graph cuts in multitemporal synthetic aperture radar images. Change detection involves assigning a label to every pixel. This task is naturally formulated in terms of energy minimization, which can be effectively solved by graph cuts. The difference image is transformed implicitly by a kernel function so that an alternative to complex modelling of the original data makes the piecewise constant model become applicable for graph cuts formulation. An issue is that graph cuts are sensitive to the initial estimate. The local fit-search model is proposed to approximate to the local histogram while selecting an optimal threshold for the initial labelling, which leads to an effective constraint for graph cuts and computational benefits as well. Visual and quantitative analyses obtained on the Yellow River Estuary data set confirm the effectiveness of the proposed method and that it outperforms the other state-of-the-art methods of change detection.     

Echo state networks based predictive model of vinyl chloride monomer convention velocity optimized by artificial fish swarm algorithm

Conversion rate in the Polyvinylchloride (PVC) polymerizing process has a certain influence on the molecular weight of PVC, porosity, absorption rate of plasticizer, vinyl chloride monomer (VCM) residue and thermal stability. Therefore, a predictive model based on echo state networks (ESN) method optimized by the artificial fish swarm algorithm (AFSA) is proposed to predict the conversion velocity. Firstly, the hot balancing mechanisms of polymerizer and the influenced factors of convention rate of VCM are analyzed in details. Then the auxiliary variables of the predictive model kernel are selected by using the kernel principal component analysis method for reducing the model dimensionality. Thirdly, the structure parameters of the ESN are optimized by the AFSA to realize the nonlinear mapping between input and output variables of the discussed soft-sensor model. The artificial fish swarm behaviors, such as foraging, swarming, chasing, random, are introduced in details. Finally, simulation results show that the proposed model can significantly enhance the predictive accuracy and robustness of the technical index and satisfy the real-time control requirements of PVC polymerizing production process.     

一种改进型离散Hopfield学习算法

针对离散Hopfield 神经网络(DHNN) 的权值设计问题, 提出一种改进型学习算法, 并在DHNN动力学分析的基础上设计该学习算法. 利用矩阵分解的方法(MD) 得到正交矩阵, 并采用得到的正交矩阵直接计算DHNN的权值矩阵. 通过该学习算法得到的权值矩阵, 可以很好地存储训练样本的信息, 使测试样本收敛到稳定点. 该学习算法不需要进行分块计算, 减少了计算步骤和计算量, 降低了网络的迭代次数, 从而提高了网络运行速度. 最后, 将该学习算法应用于水质评价, 验证了其有效性和可行性.     

高校教师业务管理系统

本文设计并实现了基于J2EE的高校教师业务管理系统．文章详细讨论了系统实现的业务模型、功能模型等需求分析过程,以及系统架构、通用查询框架、基于角色访问控制策略的“用户一角色．功能模块”的权限管理系统设计与实现等关键技术．     

基于WINCE系统软件开发的内存研究

WINCE系统内存配置较小,嵌入式软件如果出现内存泄露问题,将会导致系统的可用内存不足,甚至出现系统崩溃。为此针对WINCE操作系统内存的管理和应用,通过引入一个在实时更新动态图的过程中出现内存泄露的案例,阐述了关于内存管理和内存应用的重要知识点,包括内存模型和内存分配方式,分析了在该案例中出现内存泄露的原因,提出了与案例中出现的内存泄露相似问题的解决方法,并针对一般情况下如何防止内存泄露作了简单介绍,最后详细阐述了案例中为了优化内存所做的工作,对编程者有很好的指导作用。     

Conditional probability Markov chain simulation based reliability analysis method for nonnormal variables

Based on fast Markov chain simulation for generating the samples distributed in failure region and saddlepoint approximation(SA) technique,an efficient reliability analysis method is presented to evaluate the small failure probability of non-linear limit state function(LSF) with non-normal variables.In the presented method,the failure probability of the non-linear LSF is transformed into a product of the failure probability of the introduced linear LSF and a feature ratio factor.The introduced linear LSF wh...     

Turbo码在水声OFDM通信中的应用研究

为了增强高速水声通信中信息传输的可靠性,采用了性能优越的Turbo码和OFDM相结合的方法,并与传统的卷积码进行了性能比较.仿真结果表明,在水声通信可以接受的信噪比范围内,采用Turbo码的误码性能明显优于无信道编码和卷积编码;在带宽利用率相同时使用该方案的水声通信系统性能优于无信道编码和卷积码.因此,把Turbo码与OFDM相结合的传输体制可以明显提高水声通信系统的传输速率和可靠性,从而在水声通信中具有良好的应用前景.     

中小企业集群演进动力机制的实证研究

在总结企业集群生成动力,发展动力与锁定效应的基础上,构建了企业集群演进的动力机制模型,利用河北省清河羊绒企业集群的调研数据进行了实证分析,在对各个影响因素的作用机制进行具体分析的基础上,将数据带入"企业集群演进动力作用机制模型",得出来现阶段对集群演进产生影响的主要因素.     

Linux平台下网络入侵防御系统的研究与实现

针对防火墙和入侵检测系统在网络安全防御上存在的缺陷,本文提出了一个在Linux平台下,基于两层防御机制的网络入侵防御系统．该系统扩展了网关防火墙的入侵检测功能．实现了网关防火墙对攻击的最初防御,增加了入侵检测系统Snort的联动响应功能,Snort对逃避了网关防火墙检测的复杂攻击进行再次防御．实验结果证明,两层防御机制对大规模的蠕虫攻击起到了实时抵制作用．     

微博营销的实践与思考

微博作为新兴的传播交流媒介以其传播速度快、互动性强、即时收发等优势得到迅速的普及,促使网络营销活动的发展步伐不断加速。本文提出,要加快企业的营销活动变革的步伐,在实践的基础上,分析了微博营销的特点,提出了运用的主要方法,归纳了企业实施微博营销后所取得的效果,以较好地适应网络时代消费者更快、更省、更便捷的消费需求。