A generalization of Vidyasagar's theorem on stabilizability using state detection

In this paper we generalize the Vidyasagar's well known theorem on the local stabilizability problem of nonlinear systems using state detection [11]. Our purpose is to prove that if a system is weakly detectable and stabilizable by means of a continuous state feedback u = γ(x), for which no differentiability assumption is imposed, then the system is also stabilized by the law u = γ(z), where z is the output of a weak detector for the state x. The result above is applicable to several cases not covered by other works.     

Evaluation of Handheld Radionuclide Identifiers

Characterization of commercially available instruments for measurement and identification of unknown radionuclides was carried out in support of the development and testing of the American National Standards Institute (ANSI) standard, N42.34, “Performance Criteria for Hand-held Instruments for the Detection and Identification of Radionuclides.” Measurements were based on the performance of the devices, i.e., the capability of the detectors to ensure a correct radionuclide identification in a given time interval for various radioactive sources.     

On the relationship between parity space and approaches to fault detection

Parity space approach and H₂ approach are two important fault detection approaches. This paper studies the relationship between these two approaches, which reveals frequency domain characteristics of the optimal solution of the parity space approach on the one side and provides a numerical solution of the H₂-optimal design of residual generators on the other side.     

基于计算机视觉的油管螺纹非接触智能检测

针对传统接触式油管螺纹参数测量方法的缺点,开发了基于计算机视觉的油管螺纹非接触智能检测系统。在简述非接触智能检测测量原理和测量系统组成的基础上,详细介绍了利用非接触智能检测系统对油管螺纹参数进行测量的方法,其中包括图像的采集及预处理,图像的锐化,螺纹边缘轮廓的检测与提取,螺纹尺寸的测量计算与对比分析。     

基于数学形态学的红外图像小目标检测

针对红外成像跟踪系统的低信噪比、背景和噪声干扰严重的小目标图像,以及后续的目标识别处理需要目标的灰度信息的特点,设计了一种基于数学形态学的红外灰度图像小目标检测算法,并用FPGA硬件实现。实验表明,数学形态学滤波能够大大提高目标的信噪比,去除背景和噪声干扰,保留目标的灰度信息,满足系统实时性要求,是一种有效的红外灰度图像小目标检测算法。     

A frequency domain approach to fault detection in sampled-data systems

This paper deals with fault detection problems in sampled-data (SD) systems. A tool is first introduced for the analysis of intersample behavior of SD systems in the frequency domain from the viewpoint of fault detection and isolation. Based on it, a direct design approach of fault detection systems for SD systems is proposed, and further the problem of full decoupling from unknown disturbances is studied.     

A novel automated image analysis method for maceral analysis

A new image analysis technique has been developed which allows maceral analysis of coal to be carried out. The technique is able to separate the liptinite component from the background resin by using two separate images of the surface captured with different camera exposure times. At normal exposure, the liptinite has a similar grey scale value to the surrounding resin, but at a higher exposure time, the resin remains black whilst the liptinite grey scale increases significantly enough to distinguish it from the resin. The method has been tested for repeatability and reproducibility and found to be within the ISO Standard requirements.     

应用于激光光谱学中的短脉冲光峰功率的测量

报道了应用于激光光谱学中直接测量短脉冲光峰值光功率的双通道测量系统。给出了两个通道的线性关系和频率响应曲线。实验表明此测量系统可以测量到脉宽为10ns的脉冲光峰功率1％的放大和吸收。     

生物超微弱发光的光子计数成象方法

介绍了我们研制和设计的用于测量生物超微弱发光的光子计数成象系统，包括光子成象头，高帧频ＣＣＤ摄象机，图象采集系统和计算机，可以定量地探测出生物的发光强度分布 ，还能够显示出其发光的图象，确定发光的形状和位置，本系统的信噪比为１０：１，最小探测功率达１０＾－１６Ｗ，灵敏度高，动态范围大。     

分形方法用于有噪图像边缘检测的研究

本文研究了加性高斯白噪声对于基于离散分数布朗随机场模型图像分形维数估计的影响，并将分形方法用于图像边缘检测，指出在加性高斯白噪声的情况下，分形方法用于图像边缘检测较之经典的基于梯度运算的边缘检测方法有好的抗噪性能，同时又能检测比较丰富的图像边缘细节。