Because the wireless remote monitoring system has more and more application, a remote monitoring system based on SMS of GSM is presented. Based on the total design of the system, the hardware and software of the system is designed. In this system, GSM network is a medium for transmitting the remote signal. The system includes two parts which are the monitoring center and the remote monitoring station. The monitoring center consists of a computer and a TC35 communication module of GSM. The computer and TC35 are connected by RS232. The remote monitoring station includes a TC35 communication module of GSM, a MSP430F149 MCU, a display unit, various sensors, data gathering and processing unit. The software of the monitoring center and the remote monitoring station is designed by using VB. The result of demonstration shows that the system can monitor and control the remote communication between the monitoring center and the remote monitoring station, and the remote monitoring function is realized.

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Abstract-Along with the popularization and development of information technology, university archives management has been changing to informatization management. Although the university archives informatization construction has made a lot of progress, but there are still some problems. The basic concept and content of university archives informatization construction are analyzed, and the problems in the process of informatization construction in colleges and universities are discussed, such as the imperfect system, backward technology and low quality of technical staff. Some countermeasures and suggestions are put forward to those problems mentioned, including improving the archives management system, strengthening the management team building, system development, and making full use of the archives, to achieve comprehensively the goal of the university archives management informatization.

The corner is one of the most important features of image and the corner detection plays an important role in digital image processing technology. The performance of Harris corner detection algorithm is stable and it is widely applied, but the corner location is pixel level which affects the subsequent image processing. In order to improve the performance of corner detection, the harris algorithm is improved. On the basis of analyzing the principle of Harris corner detection algorithm, the sub-pixel level corner position based on the Gauss surface method is extracted. The extracted corners is applied in images matching. The experimental results show that the Harris corner detection algorithm can extract high accurate corners. At the same time, the image matching based on this algorithm has higher precision.