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북한이탈주민의 여가활동과 사회적응과의 관계에 대한 실증적 연구
문승일(Seung Il Moon),송영민(Young Min Song),이광옥(Gwang Ock Lee) 한국관광연구학회 2015 관광연구저널 Vol.29 No.3
This study aimed to investigate the relation between participation in leisure activities and social adaptability of North Korean refugees empirically and give basic data for policy making concerning how leisure activities could be used to improve satisfaction in their lives concerning social adaptability, based on research results. As a result of this research, it was found that North Korean refugees mostly enjoyed passive leisure activities such as watching TV, computer and relaxation, rather than active ones such as sports, sightseeing and participation in festivals. Most North Korean refugees assessed that leisure activities helped them adapt and understand to South Korean society. In the analyses of what the effects leisure activities on North Korean refugees have on adaptability to South Korean society and satisfaction of their life, it was found that leisure activities had a positive effect on adaptability to South Korean society, in the order of sporting leisure, active leisure, sociable leisure and familial leisure. These research results show that positive participation in leisure activities of North Korean refugees helps them adapt to South Korean society better.
IoT 네트워크 환경에서 장애상황 인지를 위한 시맨틱 분석 시스템 개발
문승일(Seung Il Moon),홍충선(Choong Seon Hong) 한국정보과학회 2018 정보과학회 컴퓨팅의 실제 논문지 Vol.24 No.6
ICT의 급속한 발전을 통해 사물이 인터넷을 통해 연결되어 서로 소통하는 초연결사회로 도래하고 있다. 사물인터넷은 이러한 초연결사회를 구축하는 주요 기술이며, 현재 IoT 기반 네트워크 환경에서의 자율관리 기술에 대한 연구가 다양한 방면으로 진행되고 있다. 그러나 정책을 기반으로 모니터링 되는 정보를 이용하여 장애상황을 인지하고 관리하던 기존의 기술은 네트워크 상황을 인지하는데 그 한계가 있기에 본 논문에서는 Fiesta-IoT 온톨로지 모델 및 시맨틱 분석기술을 통해 다양한 관점에서 네트워크 장애상황을 인지할 수 있도록 하고, OCF 표준의 리소스 모델을 이용하여 상호운용성 문제를 해결하고자 한다. 이를 위하여 IoT 기기의 관계속성을 기반으로 다양한 관점에서 네트워크의 상황을 인지할 수 있는 시맨틱 분석시스템과 노드의 비정상 센싱 값 수신에 대한 상황을 시맨틱 분석을 통해 판단할 수 있는 비정상 상황에 대한 오류탐지 알고리즘을 제안하고 개발한 프로토타입 구현 결과를 소개한다. Through the rapid development of ICT, things are becoming connected with each other through the Internet. The Internet of Things is a key technology for constructing such a connected society. Currently, autonomous management technology in an IoT-based network is developing in various ways. However, the existing technology that recognizes and manages the fault situation by monitoring information through policy has limitations in recognizing the network situation. In this paper, to solve this problem, a Fiesta-IoT ontology model and semantic analysis technology are used to recognize various situations of network disturbance. We tried to solve the interoperability problem by using the OCF standard resource model. To this end, we propose a semantic analysis system that can recognize the status of the network from various perspectives by extending the information about devices based on the relationships between the devices that constitute the IoT network, as well as an error-detection algorithm for anomalous states that can use semantic analysis to detect whether a node receives an abnormal sensing value. We also develop a semantic analysis system based on the proposed structure and introduce the results of implementing a prototype.