Papers by Author: Qiu Chan Bai

Abstract: The monitoring system of tire pressure is regarded as a security product of a new generation of vehicles equipped with high-technology. At present the tire pressure monitoring system can not detect tire pressure all the whole time and tire malfunction can not alarm in time too, this paper proposes an intelligent tire pressure monitoring and alarming system. This paper introduces the overall structure of system and describes the implementation method of system design from two aspects of hardware and software. The system can monitor the tire condition in time and alarm for abnormal situation. It has some advantages in low power consumption, reliability and security.

Abstract: According to energy-saving requirements of traffic lights at present, this paper proposes a green-lighting control system based on Lonworks, which adopts the control node based on host. The paper demonstrates the system structure, the circuit design of nodes. The design can automatically adjust the brightness of Street Lamp according to the weather changes and implement the temperature detection and the alarm of troubleshoot. The designed system can largely save the people resources and power resources, and can reduce light pollution. So it has a strong practical significance.

Abstract: According to the analysis of text feature, the document with co-occurrence words expresses very stronger and more accurately topic information. So this paper puts forward a text clustering algorithm of word co-occurrence based on association-rule mining. The method uses the association-rule mining to extract those word co-occurrences of expressing the topic information in the document. According to the co-occurrence words to build the modeling and co-occurrence word similarity measure, then this paper uses the hierarchical clustering algorithm based on word co-occurrence to realize text clustering. Experimental results show the method proposed in this paper improves the efficiency and accuracy of text clustering compared with other algorithms.

Abstract: Based on the data display of instrument for the current electric vehicle is imperfect, this paper puts forward designing a generic electronic instrument of electric vehicle with speed, mileage and power data display function. The microcontroller of AT89C52 is the core of system design. The design uses Hall sensor as a speed detection sensor to realize the mileage/speed measurement display of electric vehicle. It uses the 24C02 saving the mileage information in case of power-down system, uses LED module in real-time displaying the speed, mileage and power, and provides the alarm function of hypervelocity. The design of the system is in real time, running well in the test, may be promoted to the electric vehicles research and development industry.

Abstract: Intelligent transportation is the future direction of traffic, and the video-based vehicle detection and tracking is one of the key technologies. Traffic condition is affected by climate, light and other factors, its changes are very complex so as to affect the effect of vehicle detection. The paper puts forward a background reconstruction algorithm of dynamic updating. Through comparing the current frame with background frame, the method obtains the dynamic frame of continuous changes to build new background image, and then to achieve dynamic-updating background. And according to the background obtained, the method detects moving targets with background subtraction and it will be applied to video-vehicle detection. Experimental results show that the algorithm is very fast for reconstruction and has achieved good results in the video vehicle detection.

Abstract: Background reduction technique not only has the characteristics of pixels identify changes and small time complexity, but also can provide better detection results. The paper puts forward the running average method constructing background image by Gaussian mixture mode detecting background region and foreground region, and then adopting background reduction realizes the detection of moving target. Experimental results show that the algorithm effectively may realize background extraction and updating, and then completely and accurately detects moving targets. The algorithm has been achieved good results in the video vehicle detection.