地磁特征对匹配算法性能的影响分析

地磁匹配区的选择是影响地磁匹配系统性能的重要因素,而选择准则直接决定了匹配区的适配性以及匹配制导的可靠性和精度．为此,文中从地磁标准差、地磁粗糙度、地磁相关长度、地磁梯度标准差4个参数着手,以某一匹配区中9条不同航迹的仿真匹配试验结果作为研究样本,对比分析了各条航迹的不同地磁特征对匹配算法性能的影响．研究结果表明,各条航迹上的地磁梯度标准差与匹配概率之间存在较为明显的正比关系,可将地磁场梯度标准差作为地磁匹配区的选取准则,对载体航迹进行规划．     

Markov模型的熵与参数估计

Markov模型在标准文本和手写文字的自动识别领域中有特别重要的应用.在讨论如何由观测数据来估计模型参数的问题中,代替Baum辅助函数采用模型的熵特性引入判断函数,并利用此判断函数获得模型参数的重估算法.     

Markov模型的熵与参数估计

Markov模型在标准文本和手写文字的自动识别领域中有特别重要的应用.在讨论如何由观测数据来估计模型参数的问题中,代替Baum辅助函数采用模型的熵特性引入判断函数,并利用此判断函数获得模型参数的重估算法.     

Genetic Algorithm Based Tikhonov Regularization Method for Displacement Reconstruction

In this paper,a genetic algorithm based Tikhonov regularization method is proposed for determination of globally optimal regularization factor in displacement reconstruction.Optimization mathematic models are built by using the generalized cross-validation(GCV)criterion,L-curve criterion and Engl's error minimization(EEM)criterion as the objective functions to prevent the regularization factor sinking into the locally optimal solution.The validity of the proposed algorithm is demonstrated through a numerical study of the frame structure model.Additionally,the influence of the noise level and the number of sampling points on the optimal regularization factor is analyzed.The results show that the proposed algorithm improves the robustness of the algorithm effectively,and reconstructs the displacement accurately.     

An independent component analysis algorithm through solving gradient equation combined with kernel density estimation

A new algorithm for linear instantaneous independent component analysis is proposed based on max-imizing the log-likelihood contrast function which can be changed into a gradient equation. An iterative method is introduced to solve this equation efficiently. The unknown probability density functions as well as their first and second derivatives in the gradient equation are estimated by kernel density method. Computer simulations on artificially generated signals and gray scale natural scene images confirm the efficiency and accuracy of the proposed algorithm.     

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Frank-Wolfe(FW)算法是一类广泛应用于求解交通分配问题的算法。它具有容易编程实现,所需内存少的特点。但是该算法收敛速度较慢,不能得到路径信息。为了提高算法的效率,本文研究三种流量更新策略(all-at-once, one-origin-at-a-time, one-OD-at-a-time)以及不同的步长搜索策略下的FW算法,其中步长搜索策略包括精确线性搜索方法(包括二分法、黄金分割法、成功失败法)和不精确的线性搜索方法(包括基于Wolfe-Powell收敛准则的搜索方法和Gao等提出的非单调线性搜索方法)。最后,本文将上述策略应用于四种不同规模的交通网络中,并给出较适合求解的组合。     

第三方物流服务商特征属性的前沿评价

为了设计一个适合第三方物流服务商的评价方法，建立了15个分类指标的评价指标体系，其中每个指标划分为5个等级，依据第三方物流服务商的绩效水平确定其所处等级，得到原始评价值．将备选服务商的同一分类指标的原始评价值两两比较，求出15个分类指标下服务商的相对优先矩阵，对每个相对优先矩阵计算其特征属性向量，然后采用限定分类指标权重顺序的非参数前沿绩效评估方法对服务商进行评价，得到第三方物流服务商的优先排序向量，为企业选择第三方物流服务商提供依据．最后，设计了2个算例，对算法的可靠性进行验证．     

A rate-distortion based quantization level adjustment algorithm in block-based video compression

In this paper, a rate-distortion based quantization level adjustment (RDQLA) algorithm is presented. Based on the rate-distortion criterion, the quantization level adjustment algorithm effectively improves coding efficiency by adaptively optimizing quantization levels of the signals near the boundaries of quantization cells and adjusting quantization levels per block. In addition, it has no overhead and is fully compatible with the existing compression standards. The proposed algorithm can be applied in any block based image and video coding method. In particular, the algorithm has been verified on the platform of H.264. Experimental results show that the proposed algorithm improves objective and subjective performances substantially. It is shown that the proposed algorithm has a gain of several dB comparing with the newest H.264 standard for high bit rates. Foundation item: the Special Foundation of Outstanding Young Teacher of Shanghai     

基于混沌遗传算法的基元提取

提出了一种直接在灰度图像上进行基元提取的方法．与传统基元提取方法相比，该方法不需对灰度图像进行边缘检测二值化处理，而是利用图像边缘的梯度信息对混沌遗传算法导向，直接在灰度图像上提取基元．同时，该方法也避免了Hough变换高的时空开销问题．仿真表明该方法方便、有效并具有较高稳定性．     

A water-fat separation imaging method for the brain on low field magnetic resonance imaging

Water-fat separation is a particularly important problem for magnetic resonance imaging. Although many methods have been proposed, the reliability is still challenging. In this work, we have presented a method based on the combination of the branch-cut method and multigrid algorithm to get a more robust performance of water-fat separation. First, the branch-cut method is applied to identify residues, which violates the requirement that the interacting phase gradient around a closed path be zero. Residues and branches are marked to be zeros and filled to the weighting factor array. Then, the unwrapped phase array can be given by the multigrid algorithm. Finally, the Dixon method for water-fat separation is applied to the unwrapped phase array. Experiments for brain scanning on the 0.3T low field MRI system demonstrate the successful application of the proposed method.     

导航电子地图中道路网增量信息的多尺度探测

针对常用增量信息提取方法中根据经验阈值确定新旧目标匹配的不足,提出一种导航电子地图中道路网增量信息的多尺度探测方法.该方法用最大类间方差法自适应地确定几何匹配阈值来探测增量信息,完善了基于道路网眼密度的增量变化目标渐进式选取算法,实现了增量信息在较小比例尺下的缩编提取.增量信息探测实验研究结果表明:基于自适应匹配阈值的新旧版本对应路网目标匹配准确率达到了90%,优于传统的经验阈值匹配精度;改进的增量变化目标渐进式选取算法可以满足路网增量更新的结构选取需求.      

Additive—Multiplicative Fuzzy Neural Network and Its Performance

Introduction　　Kosko[1] hasprovedthatanadditivefuzzysystemcanapproximateanycontinuousfunctiononacompactdomaintoarbitraryaccuracy .AspointedbyWang[2 ] ,amultiplicativefuzzysystem ,whichisconstructedbyusingGaussianmembershipfunctionandcentroiddefuzzificati…     

Real-time follow-up head tracking in dynamic complex environments

In the modes of both object motion and camera motion, an enhanced Camshift algorithm, which is based on suppressing similar color features of background and on joint color probability density distribution image, is proposed to real-time track head in dynamic complex environment. The system consists of face detection module, head tracking module and camera control module. When tracking fails, a self-recovery mechanism is introduced. At first the Adaboost face detector based on Haar-like features is implemented to find frontal faces, the false positive is filtered according to the skin color criterion, and the true face is used to initialize the tracking module. In hue saturation value (HSV) colorspace, the hue-saturation (H-S) histogram of face skin and the saturation-value (S-V) histogram of hair are built to produce the joint color probability density distribution image, and this is intended to realize the head tracking with arbitrary pose. During tracking, region of interest (ROI) is introduced, and the color probability density distribution of a specified background area outside the ROI is learned, similar color features in the head are suppressed according to the learning result. The background suppression step is intended to resolve the problem that the tracker maybe fails when the head is distracted by backgrounds having similar colors with the head. A closed loop control model based on speed regulation is applied to drive an active camera to center the head. Once tracking drift or failure is detected, the system stops tracking and returns to the face detection module. Our experimental results show that the presented system is well suitable for tracking head with arbitrary pose in dynamic complex environments, also the active camera can track moving head smoothly and stably. The system is computationally efficient and can run in real-time completely.     

OPTIMAL PUNCTURING OF TURBO CODES BASED ON ADS CRITERION

IntroductionTurbo codes[1] has been shown to yield re-markable coding gains close to theoretical limits,yetadmitting a relatively simple iterative decordingtechnique,which are attracting the attention ofmany researchers.Owing to the parallel concate-nation,the code rate ofturbo codes,denoted as R,is low.Puncturing is the predominant strategy toconstruct high code rate turbo codes[2 ,3 ] .Punctur-ing schemes are crucial to the performance ofpunc-tured turbo codes( PTC) .Since any puncturingsc…     

框架可靠度计算的新方法

基于随机有限元的梯度优化算法引入拥有随机参数的框架可靠度分析.并编制计算程序与精确解Monte-Carlo法的计算结果进行了对比,证明该文方法用于框架结构可靠度分析是可行、可靠的,既避免了Monte-Carlo法计算量过大的缺点,又比传统的定值分析方法更合理,更贴近实际.     

Image Segmentation Using an Improved Watershed Algorithm

IntroductionOne of the firstand mostimportantoperationsin image analysis and computervision is image seg-mentation.The aim of image segmentation is thedomain- independent partition of the image into aset of regions,which are visually distinct and uni-form…     

框架可靠度计算的新方法

基于随机有限元的梯度优化算法引入拥有随机参数的框架可靠度分析.并编制计算程序与精确解Monte-Carlo法的计算结果进行了对比,证明该文方法用于框架结构可靠度分析是可行、可靠的,既避免了Monte-Carlo法计算量过大的缺点,又比传统的定值分析方法更合理,更贴近实际.     

基于自动车牌识别数据的混合交通流饱和流率实时估计

为解决混合交通流饱和流率测算的实时性和时变性问题,实时获得混合交通流的饱和流率用以信号配时,本文提出基于自动车牌识别数据(Automatic License Plate Recognition,ALPR)的混合交通流饱和流率实时自动估计方法。首先,分信号周期提取车头时距数据,在当前车和后车车辆类型确定时车头时距满足同一正态分布的假设基础上,构建车头时距的高斯混合模型并应用 EM(Expectation Maximization) 算 法 求 解 ;其 次 ,基 于 赤 池 信 息 准 则 (Akaike Information Criterion,AIC)选取高斯混合模型的最优个数,拟合数据得到高斯混合模型参数;最后,根据车头时距的高斯混合模型推算出混合交通流饱和流率。以杭州城市道路3条路段的ALPR数据为例,分析基于 ALPR 数据获取车头时距的采样误差,对模型进行验证,并与传统的 HCM(Highway Capacity Manual)方法进行对比。结果表明：基于ALPR数据的车头时距采样误差满足精度要求; 与HCM的实测法相比,模型所得的混合饱和交通流率相对误差小,结果准确;该方法与传统的标准车流饱和流率折算法效果相近,并考虑混合交通流时变特性,能自动部署实时计算,鲁棒性良好,有实际应用意义。     

Correction of wave surge forces to improve surf-riding/broaching vulnerability criterion check accuracy

Surf-riding/broaching is one of the five stability failure modes to be included into the International Maritime Organization (IMO) second generation intact stability criteria (which are risk-based stability criteria) that can ensure the safety of ships in actual seaways more effectively. This study focuses on the influence of wave surge force prediction accuracy on surf-riding/broaching vulnerability criterion check result. Firstly, it is demonstrated that the wave surge force prediction method adopted in the current vulnerability criterion check procedure is not accurate and may lead to wrong conclusions. The experimental data from captive model test and the numerical result based on 3D panel method both indicate that the diffraction effect must be considered to correctly predict the wave surge forces. Besides, sophisticated methods are not suitable for Level 2 vulnerability criterion check due to their complexity. Therefore, an empirical formula for wave surge force correction based on sample ship calculation results is proposed. The proposed empirical correction formula can effectively improve the vulnerability criterion check accuracy and thus contribute to the design and safety of the ships which are vulnerable to this stability failure mode.     

基于头脑风暴优化的PCNN路面裂缝分割算法

为提升裂缝检测的分割精度和鲁棒性,基于头脑风暴优化(brainstorming optimization,BSO)和脉冲耦合神经网络(pulse coupled neural network,PCNN),提出了一种路面裂缝图像分割算法(BSO-PCNN).该算法采用最大熵准则作为BSO算法的适应度函数,并依据适应度值决...