ACELab(AI Convergence Education Lab) / 충남대학교 김용성 교수 연구실

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2025

(저서) 디지털 교육, 교문사, 2025.08. 김용성 외
성은모, 한슬기 & 김용성. TTV AI 기술 활용 Merrill의 내용요소제시이론 기반 디지털스토리텔링 교수․학습모형 개발. 교육정보미디어연구, 31(3), 847-879.
김수진, 김용성. (2025). 대규모 언어모델의 초등학교 수학 문제 풀이 성능 분석: OpenAI o1, Claude 3.5 Sonnet, Gemini 1.5 Pro를 중심으로. 교육정보미디어연구, 31(3), 823-845.
(저서) 디지털 교육 트렌드 리포트 2025, 테크빌교육, 2025.03. 김용성 외
(저서) 챗GPT로 시작하는 생성형 AI 프로젝트 수업, 테크빌교육, 2025.02. 김용성 외
이성혜, 김민지, & 김용성. (2025). TTV(Text to Video) AI의 수업 활용을 위한 체크리스트 개발. 교육정보미디어연구, 31(1), 195-218.
(연구보고서) 김용성, 성은모, 이성혜, 김수진, 박상희, 박정미, 장규식, 주재희, 한나라. (2025). TTV(Text to Video) 기반 AI의 교육적 활용 방안 연구, 한국교육학술정보원

2024

(저서) AI 리터러시 : 인공지능 필수 지식부터 완벽 활용까지, 프리렉, 2024.12. 김용성
김수진, 문지훈, & 김용성. (2024). 토픽 모델링을 활용한 국내 초등 인공지능교육 연구 동향 분석. 컴퓨터교육학회 논문지, 27(4), 59-75.
Kim, M., Kim, S., Kim, Y., & Moon, J. (2024). Analyzing the Financial Impact of ESG News Sentiment on ESG Finance Trends. Paper presented at the 2024 International Conference on Platform Technology and Service (PlatCon), Asan, South Korea.

2023

(저서) 챗GPT 충격, 생성형 AI와 교육의 미래, 프리렉, 2023.09. 김용성
Ali, Z., Naz, S., Zaffar, H., Choi, J., & Kim, Y. (2023). An IoMT-Based Melanoma Lesion Segmentation Using Conditional Generative Adversarial Networks. Sensors, 23(7), 3548.
Uppal, M., Gupta, D., Goyal, N., Imoize, A. L., Kumar, A., Ojo, S., Pani SK., Kim, Y., Choi, J. (2023). A Real-Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things. Complexity, 2023.
Jeon, I., Moon, J., Kim, Y., Choi, K., Choi, J., Lim, T., ... & Rho, S. (2023). Balancing Privacy and Utility in Surveillance Systems: An Overview. In 2023 International Conference on Platform Technology and Service (PlatCon) (pp. 58-63). IEEE.
So, D., Leem, S., Jeon, I., Kim, Y., & Moon, J. (2023). Analysis of wrist photoplethysmography data during various exercise activities. In The 5th Engineering in Biomedical and Rehabilitation & Home Conference (EBRC&HOME) (pp. 159-162).
최유현, 이승원, 김용성 (2023). 3I 기반 디자인씽킹 창의융합 교육프로그램과 선도교육 체험 연수 과정 연구, 2023 공학교육학술대회, 한국공학교육학회
김수진, 김용성 (2023). LDA와 BERTopic을 활용한 국내 인공지능교육 연구 동향 분석, 2023 한국컴퓨터종합학술대회, 한국정보과학회
이정원, 문인상, 구인회, 안상일, 김덕관, 이주희, 김신명, 김용성, 박서연. (2023). 우주전문인력 양성을 위한 "We Space" 사업. 2023 우주학술대회, 한국항공우주학회.

2022

Anupama, C. S. S., Alsini, R., Supriya, N., Lydia, E. L., Kadry, S., Yeo, S. S., & Kim, Y. (2022). Wind Driven Optimization-Based Medical Image Encryption for Blockchain-Enabled Internet of Things Environment. Computers, Materials & Continua, 73(2).
Kadry, S., Srivastava, G., Rajinikanth, V., Rho, S., & Kim, Y. (2022). Tuberculosis detection in chest radiographs using spotted hyena algorithm optimized deep and handcrafted features. Computational intelligence and neuroscience, 2022.
Hassam, M., Khan, M. A., Armghan, A., Althubiti, S. A., Alhaisoni, M., Alqahtani, A., ... & Kim, Y. (2022). A single stream modified mobilenet V2 and whale controlled entropy based optimization framework for citrus fruit diseases recognition. IEEE access, 10, 91828-91839.
Moon, J., Kim, Y., & Rho, S. (2022). User Behavior Analytics with Machine Learning for Household Electricity Demand Forecasting. In 2022 International Conference on Platform Technology and Service (PlatCon) (pp. 13-18). IEEE.
Javaid, M., Maqsood, M., Aadil, F., Safdar, J., & Kim, Y. (2022). An Efficient Method for Underwater Video Summarization and Object Detection Using YoLoV3. Intelligent Automation & Soft Computing, 35(2).
Rana, P., Batra, I., Malik, A., Imoize, A. L., Kim, Y., Pani, S. K., ... & Rho, S. (2022). Intrusion detection systems in cloud computing paradigm: Analysis and overview. Complexity, 2022.
Isabona, J., Imoize, A. L., Ojo, S., Karunwi, O., Kim, Y., Lee, C. C., & Li, C. T. (2022). Development of a multilayer perceptron neural network for optimal predictive modeling in urban microcellular radio environments. Applied Sciences, 12(11), 5713.
Isabona, J., Imoize, A. L., & Kim, Y. (2022). Machine learning-based boosted regression ensemble combined with hyperparameter tuning for optimal adaptive learning. Sensors, 22(10), 3776.

2021

노정민, 김용성. (2021). 자연어 처리 및 기계학습을 활용한 제품의 품질정의 분류를 위한 연구 방법론. JOURNAL OF PLATFORM TECHNOLOGY 9 (3), 52-62.
Choi, J., & Kim, Y. (2021). A heterogeneous learning framework for over-the-top consumer analysis reflecting the actual market environment. Applied Sciences, 11(11), 4783.

2020

Choi, J., & Kim, Y. (2020). Time-aware learning framework for over-the-top consumer classification based on machine-and deep-learning capabilities. Applied Sciences, 10(23), 8476.
Kim, Y. K., & Kim, Y. (2020). DiPLIP: distributed parallel processing platform for stream image processing based on deep learning model inference. Electronics, 9(10), 1664.

2019

Kim, Y., Jung, S., Ji, S., Hwang, E., & Rho, S. (2019). IoT-based personalized NIE content recommendation system. Multimedia Tools and Applications, 78, 3009-3043.

2018

Jung, S., Kim, Y., & Hwang, E. (2018). Real-time car tracking system based on surveillance videos. EURASIP Journal on Image and Video Processing, 2018(1), 1-13.
Kim, Y. K., Kim, Y., & Jeong, C. S. (2018). RIDE: real-time massive image processing platform on distributed environment. EURASIP Journal on Image and Video Processing, 2018, 1-13.
Moon, J., Kim, Y., Son, M., & Hwang, E. (2018). Hybrid short-term load forecasting scheme using random forest and multilayer perceptron. Energies, 11(12), 3283.
Kim, Y., Hwang, E., & Rho, S. (2018). Twitter news-in-education platform for social, collaborative, and flipped learning. The Journal of Supercomputing, 74, 3564-3582.
Kim, Y., Moon, J., & Hwang, E. (2018). Constructing differentiated educational materials using semantic annotation for sustainable education in IoT environments. Sustainability, 10(4), 1296.
Lee, T., Kim, Y., & Hwang, E. (2018). Abnormal payment transaction detection scheme based on scalable architecture and redis cluster. In 2018 International Conference on Platform Technology and Service (PlatCon) (pp. 1-6). IEEE.
Kim, Y., Ji, S., Jung, S., Moon, J., & Hwang, E. (2018). Semantic Enrichment of Twitter News for Differentiated STEAM Education. In 2018 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 487-490). IEEE.
Moon, J., Kim, K. H., Kim, Y., & Hwang, E. (2018). A short-term electric load forecasting scheme using 2-stage predictive analytics. In 2018 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 219-226). IEEE.
Ji, S., Kim, Y., Jung, S., & Hwang, E. (2018). An educational video scoring scheme for level and topic-based recommendation. In Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication (pp. 1-5).

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