改进Frost算子在SAR图像斑点噪声抑制中的应用

针对合成孔径雷达(SAR)图像斑点噪声滤波的重要性以及存在的问题,对Frost滤波算法参数进行分析,指出了该算法等权滤波器在处理含有细节结构特征时存在盲目平滑的缺点,进而提出了改进方法。利用灰度差值计算权值,综合考虑滤波窗口内的强度信息,在一定程度上解决了盲目平滑的问题。实验验证了改进算法的有效性,并以斑点噪声指数和边缘保持指数为评价准则,通过与Frost算法比较,对改进算法在去除噪声和边缘保持方面的性能做了客观评价。     

Application of probabilistic neural network to design breakwater armor blocks

This study presents a probabilistic neural network (PNN) technique for predicting the stability number of armor blocks of breakwaters. The PNN is prepared using the experimental data of Van der Meer. The predicted stability numbers of the PNN are compared with those of previous studies, i.e. by an empirical formula and a previous neural network model. The agreement index between the measured and predicted stability numbers by PNN are better than those by the previous studies. The PNN offers a way to interpret the network's structure in the form of a probability density function and it is easy to implement. Therefore, it can be an effective tool for designers of rubble mound breakwaters.     

Sailboat propeller drag

All but the smallest classes of modern keelboats are fitted with inboard engines and consequently, when making way under sail, the craft experience parasitic drag due to trailing propellers and associated appendages. The variety of screw configurations used on sailing boats includes fixed-blade, feathering, and folding set-ups, with blades numbering two or three. Although the magnitude of the resultant drag is thought to have a significant influence on sailing performance, the published literature having regard to this problem is sparse. Here, the aim was to evaluate the drag effect of fixed-blade propellers of types commonly used on sailing craft. The results of towing tank tests on full-scale propellers are presented for the locked shaft condition; these are presented along with reconfigured data from the few previously published sources. For the case in which the propeller is allowed to rotate, tests were conducted on a typical screw with a range of braking torques being applied. It was hypothesised that the performance coefficients of the Wageningen B-Screw Series could be used to characterise adequately the types of screw of interest and that these could be extrapolated to enable prediction of the drag of a freewheeling propeller; an assessment of this formed part of the investigation.     

极限波浪运动特性的非线性数值模拟

利用时域高阶边界元方法建立了模拟极限波浪运动的完全非线性数值模型,其中自由水面满足完全非线性自由水面条件.采用半混合欧拉-拉格朗日方法追踪流体瞬时水面,运用四阶Runge-Kutta方法更新下一时间步的波面和速度势,同时应用镜像格林函数消除水槽两个侧面和底面上的积分.研究中利用波浪聚焦的方法产生极限波浪,并且在水槽中开展了物理模型实验,将测点试验数据与数值结果进行了对比,两者吻合得很好.对极限波浪运动的非线性和流域内速度分布进行了研究.     

Statistical analysis and forecasts of long-term sandbank evolution at Great Yarmouth, UK

A data-driven model has been developed to analyse the long-term evolution of a sandbank system and to make ensemble predictions in a period of 8 years. The method uses a combination of empirical orthogonal function (EOF) analysis, (to define spatial and temporal patterns of variability), jack-knife resampling, (to generate an ensemble of EOFs), a causal auto-regression technique, (to extrapolate the temporal eigenfunctions), and straightforward statistical analysis of the resulting ensemble of predictions to determine a ‘forecast’ and associated uncertainty. The methodology has been applied to a very demanding site which includes a curved shoreline and a group of mobile nearshore sandbanks. The site is on the eastern coast of the UK and includes the Great Yarmouth sandbanks and neighbouring shoreline. A sequence of 33 high quality historical survey charts reaching back to 1848 have been used to analyse the patterns and to predict morphological evolution of the sandbank system. The forecasts demonstrate an improved skill relative to an assumption of persistence, but suffer in locations where there are propagating features in the morphology that are not well-described by EOFs.     

Water level variations in the Neuse and Pamlico Estuaries,North Carolina due to local and remote forcing

Water level time series records from the Neuse and Pamlico River Estuaries were statistically compared to local and distant wind field data, water level records within the Pamlico Sound and also coastal ocean sites to determine the relative contribution of each time series to water levels in the Neuse and Pamlico Estuaries. The objectives of this study were to examine these time series data using various statistical methods (i.e. autoregressive, empirical orthogonal function analysis (EOF), exploratory data analysis (EDA)) to determine short- and long-time-scale variability, and to develop predictive statistical models that can be used to estimate past water level fluctuations in both the Neuse Estuary (NE) and Pamlico Estuary (PE). Short- and long-time-scale similarities were observed in all time series of estuarine, Pamlico Sound and subtidal coastal ocean water level and wind component data, due to events (nor'easters, fronts and tropical systems) and seasonality. Empirical orthogonal function analyses revealed a strong coastal ocean and wind field contribution to water level in the NE and PE. Approximately 95% of the variation was captured in the first two EOF components for water level data from the NE, sound and coastal ocean, and 70% for the PE, sound and coastal ocean. Spectral density plots revealed strong diurnal signals in both wind and water level data, and a strong cross correlation and coherency between the NE water level and the North/South wind component. There was good agreement between data and predictions using autoregressive statistical models for the NE (R² = 0.92) and PE (R² = 0.76). These methods also revealed significant autoregressive lags for the NE (days 1 and 3) and for the PE (days 1, 2 and 3). Significant departures from predictions are attributed to local meteorological and hydrological events. The autoregressive techniques showed significant predictive improvement over ordinary least squares methods. The results are considered within the context of providing long time-scale hindcast data for the two estuaries, and the importance of these data for multidisciplinary researchers and managers.     

PVDF管式超滤膜在低渗油田水处理中的研究及应用——以江苏台兴油田为例

根据低渗油田和特低渗油田的特点,研制出PVDF管式超滤膜,开展室内基础研究,并在江苏台兴油田进行中试和大规模的现场试验。经过处理后,水质标准达到油田回注水A1标准（SY／T5329-1994）,满足了低渗油田和特低渗油田的注水要求。     

Nonlinear numerical simulation on extreme-wave kinematics

A fully nonlinear numerical model based on a time-domain higher-order boundary element method (HOBEM) is founded to simulate the kinematics of extreme waves. In the model, the fully nonlinear free surface boundary conditions are satisfied and a semi-mixed Euler-Lagrange method is used to track free surface; a fourth-order Runga-Kutta technique is adopted to refresh the wave elevation and velocity potential on the free surface at each time step; an image Green function is used in the numerical wave tank so that the integrations on the lateral surfaces and bottom are excluded. The extreme waves are generated by the method of wave focusing. The physical experiments are carried out in a wave flume. On the horizontal velocity of the measured point, numerical solutions agree well with experimental results. The characteristics of the nonlinear extreme-wave kinematics and the velocity distribution are studied here.     

5种中草药对美国红鱼生长和免疫机能的影响

用分别含连翘(Forsythia suspensa)、猪苓(Polyporus umbellatus)、黄芩(Radix scutellariae)、茯苓(Poria cocos)和黄连(Coptis chinensis)水提取物的配合饵料饲喂美国红鱼(Sciaenops ocellatus),研究其对美国红鱼(Sciaenops ocellatus)生长和免疫机能的影响.结果表明,投喂含有黄芩和茯苓的药饵可使美国红鱼的体长增长率和相对增质量率显著高于对照组(P<0.05);投喂5种含中草药的药饵后,美国红鱼血液白细胞的吞噬活性有明显提高,投药后3 d,除茯苓组外,其余各组吞噬百分比(PP)与对照组之间均差异极显著(P<0.01);在投药后3 d或投药后7 d,连翘、黄芩和黄连组的吞噬指数(PI)与对照组相比有显著(P<0.05)或极显著(P<0.01)差异.在停投药饵后7 d,除茯苓组外,其余各组PP、PI与对照组相比仍有显著差异(P<0.05).同时,美国红鱼血清溶菌酶活性也有显著提高,投药后7 d,溶菌酶活性与对照组之间差异极显著(P<0.01),但在停投药饵后7 d,溶菌酶活性与对照组之间无显著差异(P>0.05);投药28 d后,利用哈维氏弧菌(Vibrio harveyi)人工感染美国红鱼,黄芩组的相对免疫保护率最高,达88.9%,连翘组次之,茯苓组最低.     

Lienard方程零解渐近稳定性的一个弱条件

研究Liemrd方程零解的渐近稳定性.在Liapunov函数Ⅴ满足dV/dt≤0的情况下,给出了进一步判断其渐近稳定的一个条件.