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오승훈,손동훈,유홍연,전은경,윤심권,양지원,임권섭,Oh, S.H.,Son, D.H.,Yu, H.Y.,Jeon, E.K.,Yoon, S.K.,Yang, J.W.,Lim, K.S. 한국전자통신연구원 2022 전자통신동향분석 Vol.37 No.5
We evaluated the problems of the current disaster psychological recovery support system of the Ministry of Interior and Safety for periodic infectious disease disasters, including COVID-19 (coronavirus disease 2019). The current disaster psychological recovery support systems are challenging to preemptively respond to infectious disease disasters over a wide range and for a long period. These result from the workforce shortage according to the face-to-face consultation method and the limited real-time application of consultation contents. Additionally, due to the workforce shortage, it is difficult to track those who have experienced disasters in the long term. Furthermore, most disaster psychology evaluation tools are for adults, and there are few evaluation tools for children and adolescents. This paper presents an advanced disaster psychological recovery support platform technology that can actively assist people in psychological recovery from disasters while mitigating these issues.
이문섭,김거식,민기현,손동훈,김정은,김성창,Lee, M.S.,Kim, K.S.,Min, G.,Son, D.H.,Kim, J.E.,Kim, S.C. 한국전자통신연구원 2019 전자통신동향분석 Vol.34 No.1
Over the past 30 years, significant developments have been made in hyperspectral imaging (HSI) technologies that can provide end users with rich spectral, spatial, and temporal information. Owing to the advances in miniaturization, cost reduction, real-time processing, and analytical methods, HSI technologies have a wide range of applications from remote-sensing to healthcare, military, and the environment. In this study, we focus on the latest trends of HSI technologies, analytical methods, and their applications. In particular, improved machine learning techniques, such as deep learning, allows the full use of HSI technologies in classification, clustering, and spectral mixture algorithms. Finally, we describe the status of HSI technology development for skin diagnostics.