Search

Virtual reality is an effective way for visualization of science experiments. This paper presents a VR enhanced display system for the experiment of HgCdTe(MCT) single crystal growth by Bridgman method in two steps: In the first step, we construct a numerical simulation model (time dependent) based on the heat transfer in furnace and ampoule. This gives information about the most important parameter during the whole growth process: the temperature distribution in furnace and ampoule. Then, with the obtained temperatures, we have developed a VR environment in the second step to enhance the display of the key parameters information of crystal growth. This helps the researcher to understand the process of crystal growth intuitively.

The control of Autonomous Land Vehicle (ALV) is a kind of typical nonlinear control. Because the state of traffic and road are complex, so the control of ALV is complex and uncertain. Especially if the ALV runs in normal state of traffic, the control of ALV is becoming more complex and difficult. A good idea is that to let the control system of ALV to simulate human driver and develop a machine-leaning system in the control system of ALV. So that as the control system of ALV is driving ALV along road, the control system can learn from the experience of human driver according to the state of traffic and road. In other words, the control system of ALV is able to become more and more 'clever.' Of course it is a challenging and very difficult task. This paper analyzes the principle of machine-leaning system used for ALV and discusses the engineering method of developing a machine- leaning system used for ALV, when the ALV runs along highway in normal traffic. This paper advances the administrative levels of machine-leaning system and a method of fusing human intelligence into machine intelligence. This paper introduces our preliminary research on machine-leaning system used for ALV also, which is a kind of online machine-leaning system without teacher.© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Lateral vehicle control is a nonlinear control problem. Because there exists many uncertain factors (e.g., imprecision of vehicle modeling and information measurement), it is limited to take advantage of the traditional control method based on a precise mathematical model to design a controller for lateral vehicle control. During the past several years, fuzzy control has emerged as one of the most active areas for research in dealing with the nonlinear control problem and has made many achievements. We designed a fuzzy logic controller for the road following of the autonomous land vehicle. The main sensor we used is the video camera that can provide the environment information around the vehicle. We have implemented this controller in the simulation. The controller drove the vehicle to follow the curved road and we got good tracking accuracy. In comparing with the PID controller, the fuzzy logic controller does not need a precise vehicle model and has better adaptability to parameter variation of the vehicle than the PID.

In this paper, we propose a novel fuzzy morphology (FM) which is induced by threshold decomposition. Its operators are the measures on a (sigma) _ring in range space of the membership functions of fuzzy sets, which depend upon the ordinary binary morphological operators of threshold sets of fuzzy sets. Some of the characteristic of these FM are similar to those of the traditional morphology. All the operators of these FM prove to be the morphological operators in the sense of complete lattice. It is shown how one can use binary morphological operators, thresholding techniques and stacking properties to implement these FM's operators. The VLSI implementation is simple and fast. The concept of fuzzification of set_intersection is introduced. This paper also presents a general algebraic approach to analysis fuzzy morphological operators on the space of fuzzy sets.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

In this paper, we give some results of threshold decomposition of soft morphological (SM's) filters. Some of new properties of SM have been developed by means of these results. We give the necessary and sufficient condition for the SM's operators to be the morphological operators in the sense of complete lattice. We propose the binary SM, which simplify the analysis of SM. An algebraic approach to bounded signal processing has been given. The VLSI implementation of SM's filters have been discussed.