• Title/Summary/Keyword: 망각 인자

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Seamless Intra MR-BS Handover Based on IEEE802.16j (IEEE802.16j MR-BS내에서 끊김없는 핸드오버 기술)

  • Lee, Il-Shin;Yoo, Jae-Ho;Lee, Yoon-Ju;Kwon, Dong-Seung;Chung, Jae-Hak
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.5A
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    • pp.381-390
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    • 2009
  • In this paper, we propose a seamless intra MR-BS handover scheme based on IEEE802.16j transparent. The proposed scheme estimates the outage probability of mobile stations at a base station, finds the optimum relay user, and provides low handover latency for seamless data transmission. The simulation results show that the proposed scheme outperforms the conventional handover schemes in terms of the handover latency by 65% of conventional scheme. Moreover, the proposed scheme exhibits lower packet error rate compared with the conventional handover scheme when a mobile station moves to outside of the cell coverage and reduce both outage probability and the number of handover about 50% from setting forgetting factor and redundant threshold.

Sequential Registration of the Face Recognition candidate using SKL Algorithm (SKL 알고리즘을 이용한 얼굴인식 후보의 점진적 등록)

  • Han, Hag-Yong;Lee, Sung-Mok;Kwak, Boo-Dong;Choi, Won-Tae;Kang, Bong-Soon
    • Journal of the Institute of Convergence Signal Processing
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    • v.11 no.4
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    • pp.320-325
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    • 2010
  • This paper is about the method and procedure to register the candidate sequentially in the face recognition system using the PCA(Principal Components Analysis). We use the method to update the principal components sequentially with the SKL algorithm which is improved R-SVD algorithm. This algorithm enable us to solve the re-training problem of the increase the candidates number sequentially in the face recognition using the PCA. Also this algorithm can use in robust tracking system with the bright change based to the principal components. This paper proposes the procedure in the face recognition system which sequentially updates the principal components using the SKL algorithm. Then we compared the face recognition performance with the batch procedure for calculating the principal components using the standard KL algorithm and confirms the effects of the forgetting factor in the SKL algorithm experimentally.