基于双缓冲机制的多尺度导航电子地图显示设计

为了提高电子地图数据的精度和画面显示的速率,对地图数据格式加以改进,新增isvl参数准确标识出被描绘数据情报的尺度,对检索的数据缓存做了优化性能管理,依据地图数据的格式提出了坐标变换、数据解析和描画范围定位的准确算法,采用双缓冲机制绘制地图;经实验证明,使用该套方案实验的结果,具有以下特性:1)高精度,多尺度;2)画面合理的表达了空间关系;3)支持实时动态快速显示;可应用到电子地图的研发中。     

Chaos-based joint compression and encryption algorithm for generating variable length ciphertext

Here we modify a chaos-based joint compression and encryption algorithm previously proposed by us. Two modifications are suggested for improving the compression performance and generating ciphertext with variable length, respectively. The first goal is achieved by counting the number of distinct symbols visited by the chaotic search orbit, rather than the total number of iterations of the chaotic map. The second objective is realized by introducing a user-chosen parameter to determine the ratio between the search and the mask modes. The performance of the modified algorithm is justified by simulation results using standard test files.     

Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model

In this study, Adaptive Neuro-Fuzzy Inference System (ANFIS) has been used to model local scouring depth and pattern scouring around concave and convex arch shaped circular bed sills. The experimental part of this research study includes seven sets of laboratory test cases which were performed in an experimental flume under different flow conditions. A data set consists of 2754 data points of scouring depth were collected to use in the ANFIS model. The ratio of arch diameter, D, to flume width, W, is used as a non dimensional variables in all test cases. The results from ANFIS model were compared with the results of ANN model obtained by Homayoon et al. [24] and previously presented models. The results indicated that for D/W equal to 1 and 1.2, the ANFIS models produced a good performance for convex and concave bed sills. As a result, the ANFIS models can be used as an alternative to ANN for estimation of scour depth and scour pattern around a concave bed sill installed with a bridge pier.     

Parametric study of the electrical to thermal power conversion in an inductively coupledrf plasma torch

An inductively coupled (ic) radio-frequency (rf) stabilized argon plasma was generated in a quartz tube using a 7 MHzrf generator. The electrical and thermal powers were measured and the efficiency of energy conversion was computed. The results indicate that for a constant power input, there is an optimum argon flow rate for which maximum energy conversion efficiency occurs.     

基于神经网络的聚类方法研究

针对常用聚类方法不能有效处理噪声数据的问题,本文结合神经网络具有自适应性的特点,提出基于神经网络的聚类(NN_Cluster)模型,并设计了基于自适应共振理论的神经网络聚类模型(ARTNN_Cluster)和基于自组织特征映射的神经网络聚类模型(SOMNN_Cluster)。标准数据集上的实验结果表明,与传统的K_means聚类方法相比,本文提出的基于神经网络的聚类模型有效地克服了传统方法的噪声问题,得到了较好的聚类效果。     

海水中VLF传播特性分析

本文以电磁波反射定律与折射定律为基础,建立了电磁波在两种介质分界面处的传播模型,研究了甚低频电磁波在导电媒质中的传播特性,推导了甚低频波在海面及海水中传播的电场表达式,分析了导电媒质对不同频率的电磁波所产生的影响,分析结果表明,甚低频电磁波在海水中的穿透深度较大,能够满足水下通信要求。     

激光焊接对接拼缝测量的微景深方法

对于复杂微细、错边量小的激光焊接拼缝测量,现有的视觉传感器方法不能稳定、可靠地提取出拼缝的中心位置、拼缝宽度等信息。为此,提出了基于微景深的激光焊接对接拼缝测量方法,该方法采用高倍光学放大镜头、工业CCD(Charge Coupled Device)/CMOS(Complementary Metal-Oxide-Semiconductor Transistor)相机和LED(Light-Emitting Diode)外部照明装置,以光学成像光轴与被测表面法矢呈45°的方式,组成的对接拼缝的非接触测量系统,既解决了显微放大时景深很小、测量范围小的问题,又解决了狭窄拼缝高光学放大倍数拼缝检测的难题。实验结果表明,该系统可快速准确地提取出拼缝中心坐标、拼缝宽度以及拼缝局部表面法矢。拼缝宽度测量精度优于5 μm,拼缝中心测量精度优于6 μm,可识别的最小拼缝宽度为0.02 mm,完全满足激光焊接对接狭窄拼缝的检测与自动跟踪的要求。     

基于相位谱和调谐幅度谱的显著性检测方法

针对目前视觉注意选择领域中的谱残余方法(SR)显著图对比度较差、细节显著性检测效果不理想的问题,通过分析图像频谱特性与显著性的关系,提出了一种基于频谱分析的显著性区域检测方法。该方法通过保留傅里叶相位谱并对幅度谱进行分段非线性调谐,达到抑制图像冗余信息、增强图像显著性信息的效果。实验结果表明,本文基于相位谱和幅度谱调谐(PTA)的显著性检测方法得到的显著图较SR方法对比度更高,对显著细节的检测效果也更明显。     

基于单幅图像景深和大气散射模型的去雾方法

为恢复雾天图像对比度和颜色,更好地提取图像中的信息,根据海上开阔海域的特点,利用3维到2维透视投影模型,推导了海上图像任意像素点景深的计算公式,并结合暗原色先验知识,有效解决基准景深点的选取和天空亮度的选取问题,最后基于相对景深模型和大气散射模型,对单幅雾天图像进行清晰化处理。通过大量雾天降质图像的实验验证,该算法的去雾效果优于基于暗原色先验统计方法的效果。