Intelligent home system, due to smart appliances and home access points, communication method used copy, and its electric load and the impact brought about by economic considerations, it makes the intelligent home control and power delivery system has become very complex, complicated accord characteristics of the network; this complex network, its security and Lupin performance becomes extremely important; simply consider the performance of the network topology and other network anomalies can only be expected short-term, however, a large area of network failure systemic, primarily business-related, for this problem, according to the data herein smart home business, a new web-based method of stabilizing the complex network theory.
목차
Abstract 1. Introduction 2. Related Works 2.1 Space Complex Networks 2.2 Big Data Research Situation 3. The Proposed Scheme 3.1. Fuzzy Clustering Smart Home based Data Analysis Methods 3.2 Cloud Computing Architecture 4. Simulation Results and Analysis 5. Conclusion References References
키워드
Smart home businesslarge datacomplex systemsnetwork cascading failurerobustness
저자
Zhao Yan [ Beijing Polytechnic, Beijing 100176,China ]
보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
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 Smart Home
간기
격월간
pISSN
1975-4094
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.10 No.6