DocumentCode :
2020975
Title :
Meta-model Design for Internet Multimedia Neurophysiology Interface
Author :
Kamyshanov, Alexander P.
Author_Institution :
Accounting & Audit Dept., Plekhanov Russian Economic Acad., Moscow
fYear :
2009
fDate :
25-29 May 2009
Firstpage :
632
Lastpage :
636
Abstract :
Internet modelling research has worked out its own problem domain. It unites the results and methods of fundamental sciences as physics, chemistry, and quantum mechanics, so exotic mathematically poor described neurophysiology together with rapidly developing knowledge engineering. Global scientistspsila cooperation leads to creation of multimedia systems, representing Internet cognitive interface, and new theoretical methods for knowledge discovery. Hidden Markov chains with complex topology are important theoretical base stone of knowledge discovery technology. Research meta-model with hidden Markov chain for Internet multimedia interface is suggested. On the base of Internet modelling the approach for quantum mechanics and information theory logic monotony knowledge fusion was suggested. It was demonstrated for uncertainty relation of quantum mechanics and Shannon information measure by applying lifting lemma to Internet modelling domain, that logic monotony of Internet knowledge base had been preserved.
Keywords :
Internet; data mining; hidden Markov models; multimedia systems; neurophysiology; Internet cognitive interface; Internet multimedia neurophysiology interface; Shannon information measure; hidden Markov chains; information theory logic; knowledge discovery; knowledge engineering; meta-model design; monotony knowledge fusion; multimedia systems; quantum mechanics; Chemistry; Hidden Markov models; Internet; Knowledge engineering; Logic; Multimedia systems; Neurophysiology; Physics; Quantum mechanics; Topology; Hidden Markov chains; Internet modelling; uncertainty relation of quantum mechanics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-4154-9
Electronic_ISBN :
978-0-7695-3648-4
Type :
conf
DOI :
10.1109/AMS.2009.31
Filename :
5072060
Link To Document :
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