定床河工模型的设计制作研究

本文以南盘江防洪工程对宜良高古马段河道治理的河工模型实验为例,分析了河工模型的设计制作要求,并详细讨论了制作技巧,有效地提高了模型实验的精度。     

超高灵敏显色反应测定痕量锑──锑（Ⅲ）─罗丹明B─碘化钾体系

本文研究结果表明，水溶性大分子化合物阿拉伯胶和非离子表面活性剂ＴｒｉｔｏｎＸ－１００共同存在下，锑碘配阴离子和罗丹明Ｂ的显色反应具有很高的灵敏度。缔合物的最大吸收在５ｇ０ｎｍ，摩尔吸光系数ε＝６．１×１０￣５Ｌ·ｍｏｌ－１·ｃｍ－１。用巯基棉富集锑，分离干扰离子。本法可应用于有色金属中痕量锑的测定。     

GDX—硅胶混合薄层色谱板的效率和定量性能

对用ＧＤＸ－１０２－硅胶Ｇ、有机粘合剂研制出的混合薄层板进行性能测试，评价了其在硝基苯胺异构体、酸性食品染料分离测试方面的应用，得到好的结果。     

Non-Minimum Phase Nonlinear System Predictive Control Based on Local Recurrent Neural Networks

Abstract: After a recursive multi-step-ahead predictor for nonlinear systems based on local recurrent neural networks isintroduced, an intelligent PID controller is adopted to correct the errors including identified model errors and accumulatederrors produced in the recursive process. Characterized by predictive control, this method can achieve a good controlaccuracy and has good robustness. A simulation study shows that this control algorithm is very effective.     

Dynamic Characteristics of Inter-Satellite Links in LEO Networks

To establish an efficient inter-satellite link (ISL) in an LEO network, the effect of geometric characteristics of ISL on the ISLs and the devices on the LEO satellite should be examined. Because of the continuous movement of the LEO satellite, the time-varying behaviours of the ISL's geometric charactersistics continuously change with the changes of the satellite's position on the orbit. These dynamic geometric characteristics of the ISLs are important for ISL's performance analyzing and the design of the devices on the LEO satellite. This paper describes dynamic geometric characteristics of ISL, analyzes the impact of these regulations on the tracking system of the satellite's antenna and the power adjusting system of the satellite's transmitter, with the Iridium system as an example.     

Radar Imaging Based on Iterative Algorithms

It has long been realized that the problem of radar imaging is a special case of image reconstruction in which the data are incomplete and noisy. In other fields, iterative reconstruction algorithms have been used successfully to improve the image quality. This paper studies the application of iterative algorithms in radar imaging. A discrete model is first derived, and the iterative algorithms are then adapted to radar imaging. Although such algorithms are usually time consuming, this paper shows that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.     

喷射成形过程中雾化锥体的温度场与质量场

本文着重研究了喷射成形过程中雾化锥体的温度场与质量场的测定方法，进一步测定了纯铝及ＺＱＳｎ６－６－３青铜的温度场和质量场，并讨论了其特征。     

Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier

Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an al-     

Subset threshold autoregression

We develop in this paper an efficient way to select the best subset threshold autoregressive model. The proposed method uses a stochastic search idea. Differing from most conventional approaches, our method does not require us to fix the delay or the threshold parameters in advance. By adopting the Markov chain Monte Carlo techniques, we can identify the best subset model from a very large of number of possible models, and at the same time estimate the unknown parameters. A simulation experiment shows that the method is very effective. In its application to the US unemployment rate, the stochastic search method successfully selects lag one as the time delay and five best models from more than 4000 choices. Copyright © 2003 John Wiley & Sons, Ltd.