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Efficient Mining Maximal Constant Row Bicluster in Function-resource Matrix for IMA Safety Analysis

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.9 No.10 (2015.10)바로가기
  • 페이지
    pp.1-20
  • 저자
    Miao Wang, Zhiyong Xiong, Liang Xu, Lihua Zhang, Qingfan Gu, Guoqing Wang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A255705

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원문정보

초록

영어
Integrated Modular Avionics (IMA) uses task synthesis, function fusion and resource integration to achieve the goal of low cost, high efficiency, high efficacy, high performance and high reliability. However, safety issue is caused in the system integration process. In this paper, firstly, we use data mining technology to describe resource-layer safety model, function-layer safety model and task-layer safety model; secondly, we proposed an efficient bicluster mining algorithm: LowCluster, to effectively mine all the maximal constant row biclusters with low usage rate in real-valued function-resource matrix for IMA safety analysis. In LowCluster algorithm, a sample weighted graph is constructed firstly, it includes all resource collections between both samples which meet the definition of low usage rate; then, all the maximal constant row biclusters with low usage rate are mined using sample-growth and depth-first method in the sample weighted graph. In order to improve the mining efficiency, LowCluster algorithm uses pruning strategy to ensure the mining of maximal bicluster without candidate maintenance. The experimental results show that LowCluster algorithm is more efficient than traditional constant row biclustering algorithm, and using our proposed LowCluster algorithm can find the error reason when executing more functions, which will help to improve system safety analysis.

목차

Abstract
 1. Introduction
  1.1 System Safety Design
  1.2 IMA System Safety Problems
  1.3 Our Contributes
 2. IMA System Safety Analysis
  2.1 Safety Problem of IMA-based Resource Sharing Integration
  2.2 Safety Problem of IMA-based Function Information Fusion
  2.3 Safety Problem of IMA-based Task Organization Synthesis
 3. Mining Maximal Constant Row Biclusters
  3.1 Problem Definition
  3.2 The LowCluster Algorithm
 4. Experimental Results
  4.1 Performance Analysis
  4.2 Safety Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

IMA Bicluster Safety Constant row Function resource

저자

  • Miao Wang [ Science and Technology on Avionics Integration Laboratory, Shanghai, China, China National Aeronautical Radio Electronics Research Institute, Shanghai, China ]
  • Zhiyong Xiong [ Science and Technology on Avionics Integration Laboratory, Shanghai, China, China National Aeronautical Radio Electronics Research Institute, Shanghai, China ]
  • Liang Xu [ China National Aeronautical Radio Electronics Research Institute, Shanghai, China ]
  • Lihua Zhang [ Science and Technology on Avionics Integration Laboratory, Shanghai, China, China National Aeronautical Radio Electronics Research Institute, Shanghai, China ]
  • Qingfan Gu [ China National Aeronautical Radio Electronics Research Institute, Shanghai, China ]
  • Guoqing Wang [ Science and Technology on Avionics Integration Laboratory, Shanghai, China, China National Aeronautical Radio Electronics Research Institute, Shanghai, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Security and Its Applications
  • 간기
    격월간
  • pISSN
    1738-9976
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

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