• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.181-186
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• 2014

Knowledge sharing by collective intelligence, and knowledge production/sharing by outer cooperation is also important for the company. Therefore, it is needed the next generation KMS(Knowledge Management System) designed and built which based on SNS. In my paper, the problems of KMS are analyzed and new KMS's requirements and paradigm changes are examined by analysis of investigation of existing KMS. KMS based on SNS is appropriate for the next generation KMS in consideration of new KMS's requirements, that is, collective intelligence, open innovation, and convergence with IT technology. So a building method of KMS based on SNS is presented by new next generation KMS's architecture, main design and knowledge-talk design.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.391-395
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• 2006

본 연구에서는 새로운 일차원 하천 흐름모형인 SNS(Super- aNd Sub critical flow model)를 개발하였다. 이 모형은 연속방정식과 운동량방정식을 상류이송기법을 이용하여 해석하고, 생성항을 처리할 수 있는 특별한 기법을 사용하고 있다. SNS 모형은 보나 여수로 등에서 발생하는 불연속 흐름을 모두 해석할 수 있고, 우리나라와 같이 하상의 변화가 매우 심한 하천에서도 쉽게 적용할 수 있는 장점이 있다. 본 연구에서 개발한 SNS 모형은 우리나라 하천에서와 같이 하상의 변화가 매우 심하고, 보와 같은 구조물이 많이 설치되어 있는 하천에서 추가적인 작업없이 바로 적용할 수 있다. 또한 댐 여수로와 같이 매우 빠른 흐름, 도수가 발생하는 흐름에서도 추가적인 내부경계조건없이 다양한 조건의 흐름을 해석할 수 있는 장점이 있다. 부정류 상태의 다양한 흐름을 모의할 수 있고, 상하류 경계조건을 고정하여 부등류를 모의할 수도 있다. 본 연구에서 개발한 SNS 모형은 우리나라의 특별한 상황에 대한 고려가 미흡하였던 기존의 모형에 비해 여러 가지 장점을 지니고 있기 때문에 국내 하천의 다양한 흐름조건에 널리 사용될 수 있을 것으로 판단된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.127-130
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• 2014

여행지에서 제공하고 있는 스탬프 투어링 서비스는 여행객들에게 특별한 기념이 되어주고 있지만, 스탬프를 받기 위한 장소를 찾기 어려운 점과 여행지의 주변 정보를 얻기 위해서는 여행자의 별도의 노력이 필요하다는 단점이 있다. 이러한 문제를 해결하기 위해 유명 관광지 및 추천 명소 등에 NFC 태그를 설치하고 간단한 태깅만으로 스탬프를 수집할 수 있는 어플리케이션을 제안한다. 또한 이 어플리케이션에 저장되는 정보와 평가를 이용해 사용자별 맞춤 여행 코스를 제공하고 사용자가 좀 더 편리하고 재미있는 여행을 즐길 수 있도록 돕고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.24-26
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• 2012

오늘날 전 세계적으로 스마트폰 사용자가 증가하면서 SNS(Social Network Service)를 활용한 어플리케이션의 이용이 더욱 보편화 되고 있는 추세이다. 이에 따라 모바일 환경의 SNS 어플리케이션에 맞는 사용자 인터페이스에 대한 수요 역시 증가하고 있다. 따라서 본 논문에서는 SNS 어플리케이션에 적용할 수 있는 사용자에게 더 높은 몰입감과 편의성을 제공하기 위한 직관적인 3D 사용자 인터페이스를 제안한다. 제안하는 시스템은 Facebook Open API를 기반으로 소셜 네트워크 구성원의 프로필 사진을 3D 방식으로 배치하는 인터페이스 기법과 효과를 구현하며, 이를 통해 사용자의 SNS 어플리케이션 사용성을 제고한다.

• International Commerce and Information Review
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• v.16 no.3
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• pp.3-23
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• 2014

This study focused on causes of use reluctant intention because closed SNS was more active than open SNS was despite tremendous growth of SNS to have negative influence upon not only SNS contents suppliers but also marketing business using SNS. The survey were conducted a total of 205 participants with adult over colleague student, 197 copies that excluded questionnaire with unfaithful answer were used in the analysis, and we used path analysis of structural equation modeling. The results of modified path model showed that interactivity was influenced by value, and then affecting "trust ${\rightarrow}$ satisfaction ${\rightarrow}$ using reluctant intention" path and "satisfaction ${\rightarrow}$ using reluctant intention" path. These result reflected that interactivity have a double-edged sword and value is very important standard to make a positive of negative role of interactivity. These results suggested that interactivity was found to have influence upon not only behavioral willingness that took actions depending upon either improvisation or situation but also behavioral intention path that thought and took actions in reasonable way. The interactivity had double-edged sword to help develop SNS and to produce negative results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.120-130
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• 2020

This study examined the effects of perceived value (functional value, social value) and stress (complexity, insecurity) on continuous intention in SNS. In particular, this study examined the direct and indirect impacts of SNS type on the intention of continuing to use SNS. The research model was tested for 461 respondents that used SNS. SPSS 21.0 and PLS 2.0 techniques were used to perform reliability, feasibility, path and hierarchical regression analysis. The summary of the research results is as follows. First, the results indicate that functional value and social value have positive effects on satisfaction. Second, the results indicate that complexity had a negative effect on satisfaction. Third, the results indicate that insecurity and satisfaction have positive effects on continuous intention. Fourth, the results indicate that SNS type had a negative effect on continuous intention. Fifth, it was shown that SNS type had a moderating effect in the relationship between insecurity and continuous intention. Specifically, Insecurity had a stronger effect on continuous intention at closed-type SNS than open-type SNS. These findings suggest that closed-type SNS companies will have to address the anxiety of SNS users by providing various items and system devices.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.3
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• pp.49-70
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• 2019

Festival records are valuable social records, not only historically but also culturally. Even though festival records are worthy of preservation, many of them are not managed appropriately. In particular, photographs taken by the public are dispersed in various SNS services such as Facebook, Instagram, and Twitter. This study collected festival photographs, taken by the public, from these SNS services and built a participatory archive for Daegu. As such, this study identified and suggested a metadata set through the process of archiving festival photographs. In addition, this study proposed a model of the participatory archive for festival photographs. This model illustrated the institute's collection of festival photographs in the SNS services and the creation of the participatory archive.

• Journal of Korean Library and Information Science Society
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• v.45 no.1
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• pp.27-49
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• 2014

This study aims to examine the awareness of the school librarians for task process using SNS(social network services). So, we have surveyed some of them and interviewed two focus groups by the sequential mixed method. The result showed the using SNS of them because of only one persons' operating system and role's characteristics. They are mostly satisfied with the using SNS, so we analyzed the causes. First, we extracted the 103's results except 4's from some librarians and examined descriptive statistics, frequency analysis and ANOVA. Second, we interviewed 2 focus groups and transcribed their opinions. We got 37's concepts, 22's sub categories, 13's categories from results of the open coding. Third, we synthesized the results of survey and open coding's and suggested the directions of future research of the field.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.3
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• pp.95-104
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• 2012

The companies have employed SNS for marketing, promotion, and customer relationship management. The SNS is a good tool to collect customers' opinions and to collaborate with internal and external employees, however, the function of SNS are limited in implementing a co-creation. Therefore, the purpose of this research is to suggest a SNS platform for co-creation that creates a corporate's values with customers. For this purpose, the limitations of SNS are defined and the new platform of the SNS is suggested. The proposed platform has 3 modules including integration of applications, cloud services, and integration to applications operated by companies. With a scenario method the suggested platform was validated. This is one of pioneer studies in co-creation.

• Smart Media Journal
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• v.5 no.3
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• pp.54-61
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• 2016

According to many smart devices are development, SNS(Social Network Service) users are getting higher that is possible for real-time communicating, information sharing without limitations in distance and space. Nowadays, SNS users that based on communication and relationships, are getting uses SNS for information sharing. In this paper, we used the SNS posts for users to extract the category and information provider, how to following of recommend method. Particularly, this paper focuses on classifying the words in the text of the posts and measures the frequency using Inception-v3 model, which is one of the machine learning technique -CNN(Convolutional Neural Network) we classified image word. By classifying the category of a word in a text and image, that based on DMOZ to build the information provider DB. Comparing user categories classified in categories and posts from information provider DB. If the category is matched by measuring the degree of similarity to the information providers is classified in the category, we suggest that how to recommend method of the most similar information providers account.