基于TDLAS技术的云水含量检测系统

针对传统云水含量传感器体积大,功耗大等问题,本文基于可调谐半导体激光器吸收光谱技术,研制了一种云水含量检测系统.采用1 368.6nm分布式反馈半导体激光器作为检测光源,设计了基于TLC7528芯片的正交锁相放大器,提高了测量的稳定性和抑制噪声的能力;单板实现了激光器驱动、谐波信号处理、浓度反演功能.系统在不同浓度,不同温度下进行在线检测,实验结果表明,系统响应时间为10s左右,水含量在0~16g/m3范围内误差小于5%,在-55^+60℃条件下可正常工作.该系统体积小,检测精度高,响应速度快,性能不受温度影响,很好地满足了机载云层探测需要.     

高能P■碰撞末态粒子的结团产生和前后关联

本工作在三火球模型的基础上引进结团（ｃｌｕｓｔｅｒ）机制对多种窗口的前后关联进行ＭｏｎｔｅＣａｒｌｏ模拟．与＝２００，５４６，９００ＧｅＶ的实验数据的符合表明了模型的合理性．同时从理论上说明了ｃｌｕｓｔｅｒ机制对多重数关联的影响表现为短程加强，长程减弱。     

CANONICAL CORRELATION EQUATIONS AND THEIR EXTREMAL PROPERTIES

The canonical variables and canonical correlation coefficients satisfy a matrix equation which is called the canonical correlation equation. There are some different forms of the canonical correlation e-quations given in the literature. In this paper, we discuss four different forms of the canonical correlation equations. The purpose of this paper is to give extremal properties of the solutions of the canonical correlation equations. The results show that canonical variables maximize the determinant of the dispersion matrix of the transformed variables.     

Finite element analysis of density flow using the velocity correction method

A finite element method is proposed for the analysis of density flow which is induced by a difference of density. The method employs the idea that density variation can be pursued by using markers distributed in the flow field. For the numerical integration scheme, the velocity correction method is successfully used, introducing a potential for the correction of velocity. This method is useful because one can use linear interpolation functions for velocity, pressure and potential based on the triangular finite element. The final equations can be formulated using the quasi-explicit finite element method. A flume in a tank with sloping bottom has been analysed by the present method. The computed results show extremely good agreement with the experimental observations.     

Vacuum Correlations in Quantized Gravity

The leading terms of some curvature vacuum correlation functions in n dimensional quantized higher-derivative gravity are calculated, resulting in that these correlation functions are not zero, and the relations on the graviton propagator and the vacuum correlations between the higher-derivative gravity and the R-gravity are discussed.     

传送带类问题归类分析

本文中的传送带类问题是指以皮带传送装置(传送带)为载体而构建的各类物理问题．传送带类问题丰富多彩，能够很好地再现物理知识和考查各种能力，因而值得我们分类探究．     

Use of a joint transform correlator architecture for study of speckle displacements

The optical speckle–displacement correlation technique (OSDCT) is proposed for study of in-plane speckle displacements. The joint transform correlator architecture is used to evaluate the displacements of speckle subimages of strained surfaces. The procedure of the correlation response producing as a result of cross-correlation of strainless and strained surfaces in a conventional joint transform correlator (JTC) is considered. The convenient techniques for a joint power spectrum transformation are selected. The systematic and random errors of a mean speckle pattern displacement of a rigid body motion calculated by using the OSDCT and the digital speckle–displacement measurement technique are compared. The robustness of some JTC versions (a conventional JTC, a JTC with median thresholding, a JTC with subset median thresholding, and a fringe adjusted filter JTC) to input noise of speckle patterns and output noise of a correlation response is studied.     

调制与解调用于随机共振的微弱周期信号检测

提出了调制随机共振方法，实现了在大参数条件下从强噪声中检测微弱周期信号.将混于噪声中的较高频率的弱信号经调制变为一差频的低频信号作用于随机共振体系，该低频信号满足绝热近似理论，因而能产生随机共振；再经解调可获得埋于噪声中的原较高频率的弱信号.对埋于噪声中的未知频率，可采用连续改变调制振荡器的频率，以获得一个适当的差频信号输入到随机共振体系，根据输出信号共振谱峰的变化经解调而得待检弱信号的未知频率.该方法应具有较高的应用前景. 关键词： 调制与解调 非线性双稳系统 随机共振 微弱信号检测     

Identification of deterministic chaos by an information-theoretic measure of the sensitive dependence on the initial conditions

One of the most difficult problems in the field of non-linear time series analysis is the unequivocal characterization of a measured signal. We present a practicable procedure which allows to decide if a given time series is pure noise, chaotic but distorted by noise, purely chaotic, or a Markov process. Furthermore, the method gives an estimate of the Kolmogorov-Sinai (KS) entropy and the noise level. The procedure is based on a measure of the sensitive dependence on the initial conditions which is called ε-information flow. This measure generalizes the concept of KS entropy and characterizes the underlying dynamics. The ε-information flow is approximated by the calculation of various correlation integrals.