基于Geselowitz灵敏度原理及广义逆理论，建立了基于阈值的广义逆算法，并提出了一种实用的规则化参数选择方法，与其它重建算法比较，该算法明显地改善了再构图像质量。

针对RBF网络的特性，提出一种实数编码的遗传算法，不仅可以同时确定网络参数（连接权、隐节点中心和宽度），而且解决了电阻抗图像重建问题。实验结果表明，用遗传算法训练RBF神经网络再构图像较RBF网络使用Poggio学习规则的训练算法有明显改善。

本文详细介绍了电容过程成像技术的新发展，其中包括阵列式敏感电极结构设计，具有抗杂散电容影响的高灵敏AC 桥电容检测线路以及Landweber选代算法再构图像，从而使成像系统性能指标明显得到改善。

A novel sensor—a segmented capacitance sensing array—has been developed for a multi-phase interface measurement system. To find the optimum structure parameters of the sensor, a simulation based on the finite element method is introduced, and the simulation is experimentally verified. The sensor can be used both in the separation of crude oil and in processes in chemical engineering.

In this paper, a method called the generalized inverse image reconstruction algorithm with threshold based on the Geselowitz sensitivity theorem is proposed, and the selection way of the regularization parameter is also presented. Both theoretical and experimental results show that this proposed algorithm can provide images superior to those obtained with the filtered back-projection (FBP) and the sensitivity coefficient algorithm.

A novel matrix inverse method based on conjugate gradients methods for electrical resistance tomography is presented. Regularization for solving the ill-posed inverse problem is achieved by controlling the iteration number during solution. The corresponding image reconstruction algorithm for electrical resistance tomography in a form of matrix-vector multiplication has been presented in this paper. The effectiveness of the method in a balance of speed and image quality for on-line measurement has been demonstrated with simulated and experimental data.

This paper firstly presents a case study dealing with the detection mechanism for multi-phase interface levels, taking a parallel-plate capacitance sensor as an example. Then, on the basis of the basic algorithm and difference algorithm, a novel adaptive algorithm is developed. Experimental results show that the adaptive algorithm can reasonably satisfy different operating environments.

A new multi-channel temperature and humidity monitor has been developed. The Sensor is a bifunctional and composite device consisting of temperature and humidity-sensitive components which are made of semiconducting ceramics. A single-chip MCS-51 computer collects and processes the sensor data and sends out control and alarm signals when limits preset by the user are exceeded. This paper describes the principle and characteristics and the bifunctional sensor, the operation of the detector circuits, and the hardware and software of the single-chip computer.