Digital Library
Search: "[ keyword: Data ]" (185)
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Yong-joon Lee, Se-joon Park, Yeon-chool Park, Vol. 22, No. 6, pp. 91-97, Dec. 2021
10.7472/jksii.2021.22.6.91
Keywords: CSfC(Commercial Solutions for Classified Program), MSC(Multi-Site Connectivity), MA(Mobile Access), Campus WLAN, DAR(Data at Rest) -
Bo-chun Jung, Suk-ki Hong, Vol. 22, No. 5, pp. 69-77, Oct. 2021
10.7472/jksii.2021.22.5.69
Keywords: open banking, data sharing, Technology Acceptance Model(TAM), FinTech -
Dongwoo Lee, Yoosin Kim, Eunjung Shin, Vol. 22, No. 5, pp. 35-45, Oct. 2021
10.7472/jksii.2021.22.5.35
Keywords: Active Senior, Big data, Text Mining, LDA Topic Modeling, Trend Analysis -
Eunju Park, Seungjun Han, Jimin Yoon, Hankyu Lim, Vol. 22, No. 2, pp. 41-50, Apr. 2021
10.7472/jksii.2021.22.2.41
Keywords: Mobile Application, Scheduler Application, Data Share, App Usability -
Hyeon-ju Cha, Sang-hee Kweon, Vol. 22, No. 1, pp. 109-135, Feb. 2021
10.7472/jksii.2021.22.1.109
Keywords: AI, AI Speaker, topic frame, Resonance, news data -
126. History and Trends of Data Education in Korea - KISTI Data Education Based on 2001-2019 StatisticsJaehong Min, Sunggeun Han, Bu-young Ahn, Vol. 21, No. 6, pp. 133-139, Dec. 2020
10.7472/jksii.2020.21.6.133
Keywords: Data education, trainee, educational trends, Data usage and analysis, Data -
Sudan Prasad Uprety, Yoosin Kim, Vol. 21, No. 6, pp. 95-104, Dec. 2020
10.7472/jksii.2020.21.6.95
Keywords: Fine-Dust, IoT, Indoor Air Quality, Real-time data analysis, Cloud computing -
Monika Mishra, Mingoo Kang, Jongwook Woo, Vol. 21, No. 6, pp. 33-39, Dec. 2020
10.7472/jksii.2020.21.6.33
Keywords: Big data, Deep Learning, Spark, Analytics Zoo, Amazon EMR, Machine Learning, Recommendation -
129. A method of generating virtual shadow dataset of buildings for the shadow detection and removalKangjik Kim, Junchul Chun, Vol. 21, No. 5, pp. 49-56, Oct. 2020
10.7472/jksii.2020.21.5.49
Keywords: Unity3D, Shadow Dataset, Deep Learning, Satellite shadow data, Building shadow data -
Yeongha Kim, Inhwan Kim, Beakcheol Jang, Vol. 21, No. 5, pp. 139-148, Oct. 2020
10.7472/jksii.2020.21.5.139
Keywords: Machine Learning, Predict infectious diseases, Web data, LSTM