转向柱管承载能力的试验研究

在分析转向柱管花键部位应力集中情况的基础上,通过对某厂生产的转向柱管扭转破坏的试验研究,得到如下结论:①转向柱管的承载能力与其外花键齿与方向盘中心内花键齿之间的非接触区长度有关,以花键端部过渡圆弧的直径大小为宜;②安装方向盘总成时所施加在安装螺母上的拧紧力矩在70N.m左右时,转向柱管的承载能力最大。     

冷却水污垢及其对冷却器换热的影响

分析了冷却器的结垢机理 ,提出了冷却器污垢层、污垢热阻随运行时间的规律 ,以及污垢热阻与换热系数、换热面积的关系式 ,并通过算例阐述了污垢热阻对冷却器的影响程度 ,进而定性地分析了污垢热阻对空分装置的影响。     

最大重迭对称性分子轨道和分子几何参数计算

建立了AMl级别的最大重迭对称性分子轨道计算方案(MOSMO)。采用通常的半经验分子轨道方法AMl级别中完全相同的参数，计算了各种分子的几何参数等。所得计算结果与实验值及HF／6-31G*从头算方法计算结果相符，说明提出的计算方案是可行的。同时，由于提出的计算方案过程简单，更易推广使用到从头算方法难以解决的大分子体系和超分子体系的结构和性质研究。     

基于电压陡降的VRLA容量预测新思路

重点介绍了蓄电池电压陡降与容量之间的关系及各操作因素对电压陡降的影响。由此引出一种新的蓄电池容量预测思路,并就如何实现它进行了初步探讨,最后对该思路进行了简要的展望。     

Nonlinear black-box modeling in system identification: a unified overview

A nonlinear black-box structure for a dynamical system is a model structure that is prepared to describe virtually any nonlinear dynamics. There has been considerable recent interest in this area, with structures based on neural networks, radial basis networks, wavelet networks and hinging hyperplanes, as well as wavelet-transform-based methods and models based on fuzzy sets and fuzzy rules. This paper describes all these approaches in a common framework, from a user's perspective. It focuses on what are the common features in the different approaches, the choices that have to be made and what considerations are relevant for a successful system-identification application of these techniques. It is pointed out that the nonlinear structures can be seen as a concatenation of a mapping form observed data to a regression vector and a nonlinear mapping from the regressor space to the output space. These mappings are discussed separately. The latter mapping is usually formed as a basis function expansion. The basis functions are typically formed from one simple scalar function, which is modified in terms of scale and location. The expansion from the scalar argument to the regressor space is achieved by a radial- or a ridge-type approach. Basic techniques for estimating the parameters in the structures are criterion minimization, as well as two-step procedures, where first the relevant basis functions are determined, using data, and then a linear least-squares step to determine the coordinates of the function approximation. A particular problem is to deal with the large number of potentially necessary parameters. This is handled by making the number of ‘used’ parameters considerably less than the number of ‘offered’ parameters, by regularization, shrinking, pruning or regressor selection.     

Preliminary Study in Spatial Data Warehouse of Flood Control and Disaster Mitigation in Yangtze River Basin

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莱钢冷轧轧机弯辊控制系统分析

对莱钢冷轧六辊单机架的弯辊系统进行研究与分析,介绍板形控制系统的原理和使用效果。     

SPR光谱信号的无基线质心法

为提高角度调制型表面等离子体共振(SPR)传感器的信噪比、分辨率等指标,并减少运算量,在分析固定基线质心法、基于幅值的动态基线质心法的基础上,提出一种确定SPR共振角的无基线质心法。运用SpreetaTM传感器和自行研制的SPR检测仪器,开展多种质量浓度的氯化钠和蔗糖溶液实验,获得SPR光谱数据,并分别采用上述三种质心法进行SPR共振像素计算,得到SPR监控曲线;分析比较三种质心法的运算速度、光源波动敏感度、信噪比和分辨率等指标。结果表明无基线质心法具有运算速度快、不受光源波动影响、信噪比高、分辨率高等特点,能有效提高SPR传感器和检测系统的性能。     

Access数据库的三个教学案例设计

针对初学者在学习Access数据库中遇到的困难,设计了三个教学案例,介绍报表中计算控件的使用、if语句的语法格式和通配符“？”和“’,的使用．对于提高Access数据库的教学效果有一定的参考价值。     

Method for discrimination of false targets in multistation radar systems based on the deep neural network

For the existing jamming discrimination methods for multistation radar systems,only the single feature of target echo space correlation is utilized as the metric,which leads to insufficient comprehensiveness of feature extraction,so that effectiveness and universality are insufficient for the discrimination algorithm.In this paper,an identification method in multistatic radar systems based on the deep neural network is proposed.This method combines the characteristics of multistatic radar systems cooperative detection technology,which has many available resources and strong scheduling ability in space,time and frequency domain,with the strong model learning and feature representation ability in the process of information processing on the deep neural network,so that it can effectively apply to the field of anti-deception jamming.Full use is made of unknown information about echo data to obtain more multi-dimensional,more comprehensive,more complete and deeper feature differences besides correlation,so as to achieve a better jamming discrimination effect.Simulation results show that the proposed method can effectively reduce the influence of noise and pulse number on the jamming discrimination performance.At the same time,the limitation of the target echo correlation coefficient on anti-jamming technology under nonideal conditions is alleviated,which broadens the boundary conditions of the application process.