Current research in distributed systems focuses on object group models which are designed for scalable systems and provide accessible objects to the entire group. However, dynamic grouping using knowledge extraction from group of objects is not considered which provides accurate search for appropriate objects. In this paper, an integration of intelligent models in distributed object groups is presented in intelligent distributed framework. This paper proposes a locator service for the framework which implements the intelligent search mechanism based on neuro-fuzzy system. To have an accurate search of objects, the fuzzy system of the locator service is trained using the neuron-fuzzy algorithm. The proposed method is compared to other methods in accuracy of classification and result shows that it outperformed other algorithm based on processing time and accuracy.
목차
Abstract 1. Introduction 2. Related work 2.1. Intelligent systems 2.2. Neuro-fuzzy system 3. Intelligent distributed framework for object groups 4. Intelligent search mechanism based on neuro-fuzzy system 4.1. Learning the structure of fuzzy system 4.2. Intelligent search using mobile agents 5. Experimental evaluation 5.1. Performance measure 5.2. Result 6. Conclusions References
저자
Romeo Mark A. Mateo [ School of Electronic and Information Engineering, Kunsan National University ]
Jaewan Lee [ School of Electronic and Information Engineering, Kunsan National University ]
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 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.2 No.1