This paper firstly applies a Sequential Number-Theoretic Algorithm for Optimization (Fang and Wang, 1990) to evaluate the form errors of machine parts. By this method, it's not necessary to completely depend on the initial value of the parameters. It can be applied to any evaluation of linear or nonlinear parameters, and it is easy to find an optimum overall in the problem in which there are more partial extreme values. This algorithm is superior to the traditional algorithms. Several numerical cases on the evaluation of form errors are given in this paper.

回顾与展望几何量测量自动化技术，介绍几何量测量自动化基本概念，微纳米测量自动化，在线检测与制造过程自动化，形貌测量与机器视觉检测技术，测量数据与信息处理自动化，生命科学与测量自动化等国内外发展方向与热点，以及合肥工业大学在这领域取得的一些成果。

Camera calibration is an important step in machine vision for dimensional measurement. Based on analyzing the photogrammetric calibration and self-calibration methods, a new planar way is proposed in this paper for calibrating the camera for the 2D objects. Induced some non-linear distortion factors, a fast algorithm is adopted to solve the complicated non-linear equations in calibration model. With this algorithm, a concatenation technique is used to reconstruct a 3D object from two 2D planar photos. In the second part of this paper, a calibration method using only one plane, which can be moved on some simple equipment, is deduced for 3D object dimensional measurement. Mathematic model and its transformation process are discussed in detail. This method can be used especially for profile inspection of machine parts in industrial working-field. An application to inspect the profile of train wheel is given in this paper. Experimental results are given to show the parameters of camera system and the measuring accuracy.

The question of the ECG data compression is Olle of tile inost important subject ill biosignal processing. If BI' Artificial Neural Network is adopted to compress ECG data, the compression precision and the compression ratio are high, but the compression speed is low. The system we estabiished improves the speed by taking some nleasures. The system adopts four filters to process ECG data for improving the quality of ECG signals, and adopts improved first dilllerence algorithm to detect R points accurately and easily. These works benefit the following compression. During the compression, we combinc BP algorithm with TP algorithm and establish a weight template library to improve the rate of compression. The compression precision and compression ratio Call meet the reqtliremellt and the processing of ECG data containing a few types of abnormal ECG waves is real time with the system.

This paper introduces three types of on-line inspection system for train wheel dimensions developed by the authors in the recent years. The first system is an inspection line for semi-manufacturing wheel used for the wheels just after rolling. Then, the second system is used to inspecting the manufactured wheels after whole manufacturing in the end of the wheel manufacturing flow. Thirdly, wheel profile measuring system that can be used for wheel monitoring instead of manual measurement with hand-held gauge in rail maintenance operation is developing in our lab. Finally, a RRS (Reconfigurable, Reusable and Scalable) design principle for agile manufacturing and measurement/inspection system is discussed in this paper.