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Design and Implementation of an Asynchronous Low Power RSA Circuit Structure
ZHANG Qihui, CAO Jian, CAO Xixin, YU Dunshan, ZHANG Xing
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (6): 1351-1354.   DOI: 10.13209/j.0479-8023.2018.046
Abstract818)   HTML    PDF(pc) (2003KB)(206)       Save

An asynchronous low power RSA circuit structure and its modular multiplication circuit structure for smart cards and RFID tags are proposed. By using GTECH optimization scheme and BrzCallMux implementation strategy, ASIC implementation is carried out based on a TSMC 130 nm standard CMOS technology. Experimental results show that the area of the proposed asynchronous low power RSA is only 4% of that of another asynchronous RSA, its average time to perform a cryptographic operation is only 0.216% of that of another asynchronous RSA, and its power consumption is only 16.99% of that of its corresponding synchronous counterpart.

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A Novel Algorithm for the Video Caption Extraction
CAO Xixin,LIU Jing,YANG Xudong,WU Shuai,ZHANG Qihui
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract739)      PDF(pc) (3048KB)(330)       Save
The authors propose a novel algorithm for the video caption extraction. By using the image sharpening method, a better extraction effect can be achieved for the special video sequences. The caption area and the non-caption area can be efficiently separated by neighborhood average operation. A projection algorithm is proposed to implement on a better decomposition and extraction based on the statistical characteristics, and this can efficiently separate the caption area and make the extraction coordinates more precise. The experiments show that the proposed algorithm has a better effect compared with the original methods. Because of the low computational complexity, it can be widely used in the field of video image processing.
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A Novel Algorithm for Video Zooming
CAO Xixin,LIU Jing,WU Shuai,ZHANG Qihui,LIN Jinlong,WANG Ping
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract757)      PDF(pc) (843KB)(283)       Save
Inspired from the quantum mechanics, the authors propose a novel and practical video zooming algorithm which has a better image quality than other methods. Compared to the quantum mechanics models , an image is treated as a energy field and modify the traditional cardinal spline function. This method reduces the sample effect across the edges and improves the human pleasure. The proposed method has a low complexity, and keeps the coherence between frames for video sequence. It is especially suit for the embedded equipments such as mobile phones and PDAs.
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