NDLI: Methodology for creating intellectual decision support systems

Content Provider	IEEE Xplore Digital Library
Author	Sliesoraityte, E. Dubakiene, R. Fedorov, E. Skorupskaite, A. Sliesoraitiene, V.
Copyright Year	2011
Description	Author affiliation: Vilnius University, Lithuania (Sliesoraityte, E.; Fedorov, E.; Skorupskaite, A.) \|\| Vilnius Gediminas Technical University, Lithuania (Sliesoraitiene, V.) \|\| Dedicated Computer System Department, Donetsk Academy of Automobile Transport, Ukraine (Dubakiene, R.)
Abstract	The proposed methodology is designed to function in line with intellectual decision support system (DSS), which is used for managing of the production process. The methodology is designed to function in automatic mode, which uses highly specialized intelligent vocabulary interface. Function process of DSS includes training mode, where standard phonemes of speech characteristics are created for each feature vector. Where feature vectors are recorded into the database via corresponding components of DSS. Neural network was based on genetic algorithm, and was developed using standard established speech phonemes, Control mode was integrated, i.e. operator, who has been authorized to manage the object, displays a message as regards the state of the object and/or control command via intelligent interface. According to the proposed methodology the quantitative characteristics of feature vectors are recognized by neural networks. Using automated control mode the semantic part of the command is then recognized and transferred to the main part of DSS, which processes the information dependent on the object status. After executing the command, the feedback is provided through intelligent interface, i.e. operator receives verbal communication with regard to tasks implementation. DSS, which was developed on the basis of the proposed methodology, can be used for intelligent control units in various sectors, e.g. in coal, steel industries
Starting Page	1
Ending Page	5
File Size	464999
Page Count	5
File Format	PDF
ISBN	9781424479511
e-ISBN	9781424479504
e-ISBN	9781424479498
DOI	10.1109/PHM.2011.5939525
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems genetic algorithm Presses Continuous wavelet transforms speech recognition Hidden Markov models modified RBFN parameters identification Robustness Mel frequency cepstral coefficient intellectual decision support system
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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