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http://dx.doi.org/10.3745/KTCCS.2020.9.11.247

DNA (Data, Network, AI) Based Intelligent Information Technology  

Youn, Joosang (동의대학교 산업ICT기술공학전공)
Han, Youn-Hee (한국기술교육대학교 미래융합공학전공)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.9, no.11, 2020 , pp. 247-249 More about this Journal
Abstract
In the era of the 4th industrial revolution, the demand for convergence between ICT technologies is increasing in various fields. Accordingly, a new term that combines data, network, and artificial intelligence technology, DNA (Data, Network, AI) is in use. and has recently become a hot topic. DNA has various potential technology to be able to develop intelligent application in the real world. Therefore, this paper introduces the reviewed papers on the service image placement mechanism based on the logical fog network, the mobility support scheme based on machine learning for Industrial wireless sensor network, the prediction of the following BCI performance by means of spectral EEG characteristics, the warning classification method based on artificial neural network using topics of source code and natural language processing model for data visualization interaction with chatbot, related on DNA technology.
Keywords
DNA; Fog Computing; Chatbot; Data Visualization; Brain Computer Interface (BCI);
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
연도 인용수 순위
1 Zeus Kerravala, "The Success of Artificial Intelligence and Machine Learning: Requires an Architectural Approach to Infrastructure," CISCO, August 2018.
2 Jonghwa Choi and Sanghyun Ahn, "Service Image Placement Mechanism Based on the Logical Fog Network," KIPS Transactions on Computer and Communication Systems, Vol.9, No.11, pp.250-255, 2020.   DOI
3 Sangdae Kim, Cheonyong Kim, Hyunchong Cho, Kwansoo Jung, and Seungmin Oh, "Mobility Support Scheme Based on Machine Learning in Industrial Wireless Sensor Network," KIPS Transactions on Computer and Communication Systems, Vol.9, No.11, pp.256-264, 2020.   DOI
4 Jae-Hwan Kang, Sung-Hee Kim, Joosang Youn, and Junsuk Kim, "Prediction of the Following BCI Performance by Means of Spectral EEG Characteristics in the Prior Resting State," KIPS Transactions on Computer and Communication Systems, Vol.9, No.11, pp.265-272, 2020.   DOI
5 Jung-Been Lee, "Warning Classification Method Based On Artificial Neural Network Using Topics of Source Code," KIPS Transactions on Computer and Communication Systems, Vol.9, No.11, pp.273-280, 2020.   DOI
6 Sang Heon Oh, Su Jin Hur, and Sung-Hee Kim, "Natural Language Processing Model for Data Visualization Interaction in Chatbot Environment," KIPS Transactions on Computer and Communication Systems, Vol.9, No.11, pp.281-290, 2020.   DOI