RETRACTED: A novel user interaction middleware component system for ubiquitous soft computing environment by using fuzzy agent computing system (Retracted Article)

被引:9
作者
Vasanthi, R. [1 ]
Jayavadivel, R. [2 ]
Prasadh, K. [3 ]
Vellingiri, J. [4 ]
Akilarasu, G. [5 ]
Sudhakar, S. [6 ]
Balasubramaniam, P. M. [7 ]
机构
[1] Tagore Inst Engn & Technol, Dept CSE, Attur, Tamil Nadu, India
[2] Vivekananda Coll Engn Women, Dept CSE, Tiruchengode, Tamil Nadu, India
[3] Vijnan Inst Sci & Engn, Ernakulam, Kerala, India
[4] Vellore Inst Technol, Sch Informat Technol & Engn, Vellore, Tamil Nadu, India
[5] Malla Reddy Engn Coll Women, Dept CSE, Hyderabad, India
[6] Sree Sakthi Engn Coll, Dept CSE, Coimbatore, Tamil Nadu, India
[7] Sri Shakthi Inst & Tech, Dept EEE, Coimbatore, Tamil Nadu, India
关键词
User centric; Middleware; Semantic query; Functional dependency; Ubiquitous computing environment; Soft computing; Fuzzy agent system; Fuzzy logic; INTELLIGENCE;
D O I
10.1007/s12652-020-01893-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ubiquitous Computing Environment (UCE) has become increasingly crucial for a component-based Middleware for Ubiquitous Soft Computing Environment by using Fuzzy Agent Computing System (USCE-FACS) that can fully exploit interactive service characteristics to support user-centric services in UCE. It has posed some challenges, such as high Memory Consumption and high Component Building Time to users who are hiring services in a heterogeneous environment. To control the UCE for the user's benefit, FACS works non-rudely in an online deep-rooted learning way to get familiar with the user behavior. The point of incorporation of previously mentioned advances is to make more extensive the connection between individuals and data innovation gear through the use of an undetectable system of UCE devices making dynamic computational-environments equipped for fulfilling the users' prerequisites. Due to a large number of available services without ontology and Metadata Repository (MR), it becomes time-consuming for end-users to find appropriate services to satisfy their various needs. To help end-users obtain their desired services, the USCE-FACS proposed, it reduces MC and CBT in a heterogeneous environment. This paper concentrated on the communication from users to devices to enable a general and quick access to accessible element and administrations gave by the UCE.
引用
收藏
页码:4827 / 4840
页数:14
相关论文
共 30 条
[1]  
Al Saiyd NA, 2010, INT J COMPUT SCI NET, V10, P154
[2]  
Baumgart I, 2011, IEEE 2011 C SELF AD, P3
[3]   Distributed denial of service (DDoS) attack mitigation in software defined network (SDN)-based cloud computing environment [J].
Bhushan, Kriti ;
Gupta, B. B. .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (05) :1985-1997
[4]  
Bo Ma, 2010, Proceedings 2010 IEEE 2nd Symposium on Web Society (SWS 2010), P191, DOI 10.1109/SWS.2010.5607456
[5]  
Debashis S, 2005, PERVASIVE COMPUTING
[6]   Differential flow space allocation scheme in SDN based fog computing for IoT applications [J].
Diro A.A. ;
Reda H.T. ;
Chilamkurti N. .
Journal of Ambient Intelligence and Humanized Computing, 2024, 15 (02) :1353-1363
[7]   A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments [J].
Doctor, F ;
Hagras, H ;
Callaghan, V .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2005, 35 (01) :55-65
[8]  
Encarnaçao JL, 2005, LECT NOTES COMPUT SC, V3379, P261
[9]   A hierarchical fuzzy-genetic multi-agent architecture for intelligent buildings online learning, adaptation and control [J].
Hagras, H ;
Callaghan, V ;
Colley, M ;
Clarke, G .
INFORMATION SCIENCES, 2003, 150 (1-2) :33-57
[10]   An incremental adaptive life long learning approach for type-2 fuzzy embedded agents in ambient intelligent environments [J].
Hagras, Hani ;
Doctor, Faiyaz ;
Callaghan, Victor ;
Lopez, Antonio .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, 15 (01) :41-55