• The Journal of Bigdata
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• v.1 no.2
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• pp.45-63
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• 2016

According to changes of recent climate social structures, frequency of occurrence new or complex disasters are increasing. So the importance of disaster prevention is increasing. To provide useful information of disaster prevention activities, We use the "Safety Sinmungo" main processing practices included Facility safety management in Ministry of Public Safety and Security. Facility safety management is the most and common disaster prevention activities. We identified the keywords in the risk report and facilities to residents report and analyzed the seasonal and inter-regional facilities report distribution process. We also utilized social network analysis techniques to configure a 1-mode, 2-mode facilities around the keyword for differences.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.377-382
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• 2010

For business purposes, it is important to identify diffusion power users, a group of users who have big influence on other users in diffusing content. In this paper, we use the independent cascade model for determining diffusion power users, and to do so, we need a method for calculating the assimilation probability between users. This paper proposes the concepts of user delivery power and a way to quantifying the value of this. User delivery power is used to compute the assimilation probability with user content power. We analyze the proposed method by comparing its performance with those of existing methods through experiments using a real blog network data.

• Journal of Korean Society of Forest Science
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• v.95 no.3
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• pp.235-239
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• 2006

This study aimed to present that the understanding of the relational structure among stakeholders of a national park with the usage of 'social network analysis' can help more effectively to diagnose conflicts among stakeholders and to resolve them, Conducting a telephone-interview survey with 12 stakeholders of the Taean-Haean National Park, Republic of Korea, this study examined their perception of conflicts related to the park, and compared their social networks when their conflicts emerged with their networks when the conflicts did not appear. When the conflicts appeared, the more respondents tried to seek other information sources apart from the Korea National Park Service (KNPS) and the fewer interactions among the stakeholders occurred than when the conflicts were not present. Based on the findings, it was suggested that KNPS need not to directly distribute information to the stakeholders, and to create the third party to generate more interaction and cooperative relationship among the stakeholders, Thus, it can be said that the employment of social network analysis is worth being employed in the study of conflict management in national parks.

• Review of KIISC
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• v.25 no.1
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• pp.39-46
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• 2015

현대의 자동차는 안전중요(Safety Critical) 시스템이기 때문에 차량의 안전성을 보장하는 것은 물론 초 연결사회를 지향하는 사물인터넷 기술의 발전과 자동차의 스마트화 됨에 따른 자동차 보안문제가 대두됨에 따라 자동차 소프트웨어와 공급망에서의 보증 방안이 필요하다. 본 논문에서는 자동차 소프트웨어의 보안성을 확보하고, 공급망에서의 보안성을 보증하기 위한 자동차 소프트웨어&공급망 보증(A-SSCA, Automotive-Software& Supply Chain Assurance)을 위한 보안쟁점 및 고려사항을 제시하고자 한다.

• Information Systems Review
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• v.20 no.3
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• pp.73-92
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• 2018

Many users are uploading their daily life activities on SNS and use hashtags to describe their postings. Hashtag has the advantage of letting users specify categories for their postings, however until now, the users has had to manually input the hashtags which has been very inconvenient for them. Therefore, in order to address this issue, this paper proposes a hashtag recommender system which recommends proper hashtags to users based on their uploaded images on SNS. The proposed system is designed using four analytic structures, which is composed of a camera information-based analysis, an address-based analysis, a location based CF analysis, and an image-based analysis. In order to check whether the proposed system is improved compared to the existing systems in terms of the hashtag recommendation function, we conducted an evaluation with 212 SNS users from fifteen countries. As a result of the evaluation process, the proposed system shows very high accuracy recommendation results compared to the existing hashtag recommender systems.

• Journal of Korean Library and Information Science Society
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• v.39 no.4
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• pp.479-504
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• 2008

A female marriage immigrant is one of the most remarkable group as Korea entering a multicultural society. It is necessary that they get various supports to become a part of our Korean society, and social services and information accessibility are really important things to give them such supports effectively. This research focused on the problems that female marriage immigrants are facing in their marriage life and a process of adaptation in Korea. This research analyzed the actual conditions and the differences of social services and information accessibility classified by the problems female marriage immigrants are facing, their nationality, and their residence. On the basis of the results, this research provided the ways to raise the level of social services and information accessibility and also optimize social services for them.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.600-603
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• 2007

미래 지식정보사회는 컴퓨터, 통신, 방송 등 모든 정보통신 기기가 하나의 네트워크에 연결되는 BcN 기반의 네트워크사회(Broadband Network Society)로 빠르게 진화할 전망이다. BeN은 엑세스망, IP전달망, 제어/서비스망(교환망 IP전환)의 3개 계층을 모두 포함하는 개념이나 엑세스망, IP전달망은 기존과 통일한 IP방식으로 추진 중이어서 IP기반의 제어/서비스망 신규 구축 및 교환망의 IP로의 전환을 협의의 BcN이라 정의 한다. PSTN에서 BcN망으로 전환 시 BeN망의 구성 요소는 소프트스위치, TGW, AGW, SGW, 응용서버, 미디어서버 등이 있다. PSTN망이 BcN망으로 전환시 크게 3단계의 과정을 거친다. 1단계로 2007년 상반기에 전남 목포지역의 지능망 서비스가 불가한 시외교환기가 BcN으로 전환되었다. 전환 후의 IP망을 경유하는 음성호의 트래픽을 측정한 결과는 발생호는 증가하였으며 완료율은0.06% 감소하였지만 관리 기준내의 양호한 수준이었다. 향후 음성호의 통화 품질을 높이기 위해서 품질 측정을 통한 기준 미달 항목을 조치하고 트래픽 측정을 통한 소통율, 완료율 불량 구간에 대한 지속적인 개선 활동을 해야 한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.3
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• pp.114-126
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• 2016

Domestic risk factors that are thought to be correlated with highly pathogenic avian influenza (HPAI) outbreak are migratory birds and moving objects such as poultry farm vehicles. In particular, the commercial vehicles that routinely circulate the local and/or remote poultry farms produce are thought to be major HPAI risk factors in South Korea. In this study, the driving histories of the vehicles belonging to poultry farms and/or commercial companies registered in the Korea Animal Integrated System (KAHIS) were analyzed using statistical and social networking tools in a Geographic Information System (GIS) in order to understand the pattern of the HPAI (H5N8) outbreak that occurred in 2014 in South Korea. Based on the 2014 HPAI outbreak patterns, HPAI-infected poultry farms were categorized according to geological features. The HPAI-infected poultry farms were categorized as 'regional-accumulation', 'regional-distribution', 'metropolitan-accumulation', 'metropolitan-distribution' and 'national-distribution' in endemic or non-endemic regions. We were able to categorize most HPAI-infected poultry farms into the five proposed categories, but further studies are required to categorize all such farms. Based on this categorization system, we propose efficient but economical prevention boundaries in South Korea. We strongly believe that our research could hugely impact government decisions to estimate the prevention area.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.3
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• pp.421-430
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• 2017

In this research, we propose a methodology for assessing security vulnerability of the national defense intelligence system, considering not only target elements but also the interconnection relationship of the whole system. Existing approaches decide the security vulnerability of the whole system by assessing only target elements. However, those approaches have an issue with potentially showing the same outcome for the systems that have identical target elements but the different types of interconnection relationships. We propose a more practical assessment method which takes the interconnection relationship of a whole system into consideration based on the concept of SNA(Social Network Analysis).

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.935-945
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• 2021

The purpose of this study is to analyze the social perception of Arduino lecture using big data analysis method. For this purpose, data from January 2012 to May 2021 were collected using the Textom website as a keyword searched for 'arduino + lecture' in blogs, cafes, and news channels of NAVER website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by opening the Textom website, Ucinet 6, and Netdraw programs. As a result of text mining analysis such as frequency analysis, TF-IDF analysis, and degree centrality it was confirmed that 'education' and 'coding' were the top keywords. As a result of CONCOR analysis for semantic network analysis, four clusters can be identified: 'Arduino-related education', 'Physical computing-related lecture', 'Arduino special lecture', and 'GUI programming'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to Arduino lecture on the Internet. The results of this study will be used as data that provides meaningful implications for instructors preparing for Arduino lectures, researchers studying the subject, and policy makers who establish software education or coding education and related policies.