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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.
김재인(Jaein Kim),김낙우(Nakwoo Kim),유홍연(Hongyeon Yu),윤심권(Simkwun Yun),이병탁(Byoungtak Lee) ICT플랫폼학회 2013 ICT플랫폼학회 하계학술발표대회논문집 Vol.1 No.1
As diversification of ICT platforms and development of new ICT services and technologies, we are greeting a big data environment. It is important to analyze the big data involving various information of real world phenomenon. Especially, an analysis of unstructured big data such as images, movies and texts is very important work. In this paper, we have proposed a novel framework for a real time analysis about unstructured big data. The proposed framework consists of pre-processor module for unstructured data, CEP engine and management processor, in addition it provides interfaces to manage real time analysis. We have implemented a demonstration system and applied proposed framework. Through the demonstration, we have confirmed the effectiveness of the proposed framework.