• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.780-784
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• 2007

본 연구는 수치모형을 이용하여 다양한 규모의 자연하천에서 조도계수를 산정하고 조도계수가 홍수위에 미치는 민감도를 분석하기 위함이다. 이를 위하여 한국건설기술연구원에서 개발된 SNS 1차원 모형을 사용하였으며, 한강 팔당댐${\sim}$전류구간, 금강 대청댐${\sim}$공주구간, 달천 괴산댐${\sim}$쌍천합류점 구간에 적용하였다. 본 연구에서 얻은 결론을 요약하면 다음과 같다: (1) 자연하천의 조도계수는 유량이 증가함에 따라 감소하며 어느 한계유량 이상에서 일정한 조도계수로 수렴된다. (2) 하천정비기본계획에 수록된 조도계수는 대하천의 경우 본 연구에서 산정된 계획홍수량 구간의 조도계수와 큰 차이를 보이지 않는다. 그러나 실제 홍수사상의 한강 적용 결과 일부 구간에서 최대 87.3cm의 수위차가 발생하였다. (3) 달천 지방1급구간의 경우 하천정비기본계획에 수록된 조도계수와 본 연구에서 산정한 조도계수는 상대적으로 큰 차이를 나타내고 있으며 전 구간에서 최대 97.5cm의 수위차가 발생하였다. (4) 따라서 다양한 규모의 하천에서 실측수위를 이용한 객관적이고 정량적인 조도계수 산정에 관한 연구가 필요한 것으로 판단된다.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.4
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• pp.71-90
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• 2014

This study aims at examining the ways which a school librarian uses SNS when performing tasks and the use of SNS with the features of the task and the organizational system run by one person affect task performance. In this study, for objective explanation of the interrelation among a librarian's tasks and the use of SNS and performance, the model of a Librarian's Task-SNS Technology Fit was suggested through the combination of the Technology Acceptance Model and the Task-Technology Fit. Based on the result of the survey analysis, their utilization of SNS is not just limited to personal taste nor interferes with their work. Rather, it enhances task performance owing to the characteristics of the tasks or the organization such as the organizational system run by one person.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.871-872
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• 2013

최근 스마트폰의 급속한 보급에 따라 트위터, 페이스북과 같은 실시간 SNS(Social Network Service)가 폭발적으로 성장하고 있다. 본래 SNS는 지인과의 소통을 위한 온라인 커뮤니티로 출발했으나 지금은 새로운 커뮤니케이션으로 마케팅, 미디어, 커머스 등 다양한 영역의 플랫폼으로 진화하며, 그 파급력을 이어가고 있다. SNS, 소셜 미디어 시대를 맞이하여 소비자가 수동적 입장에서 능동적 입장으로 변경되고 있는 상황에서 블로그, 카페, 트위터 등 에서의 평가를 통한 고객 피드백 정보에 따라 서비스 제공자의 판매율이 많은 영향을 받고 있다. 따라서 효율적인 기업경영을 위해서는 SNS 등을 통한 고객의 목소리를 분석하는 작업과 그것을 기반으로 고객만족도 평가모형에 대한 연구가 필요하다. 본 논문에서는 이러한 SNS를 이용한 활용분야에 대해서 고찰해 보고 SNS가 점차 확대됨에 따라 발생할 수 있는 SNS 환경에서의 역기능은 어떤 것이 있는지 살펴보고 대응방안을 제안한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.4
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• pp.44-53
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• 2016

The era of Big Data has come and the importance of Big Data has been rapidly growing. The part of transportation, the Four-Step Travel Demand Model(FSTDM), a traditional Trip-Based Model(TBM) reaches its limit. In recent years, a traffic demand forecasting method using the Activity-Based Model(ABM) emerged as a new paradigm. Given that transportation means the spatial movement of people and goods in a certain period of time, transportation could be very closely associated with spatial data. So, I mined Spatial Big Data from SNS. After that, I analyzed the character of these data from SNS and test the reliability of the data through compared with the attributes of TBM. Finally, I built a database from SNS for the operation of ABM and manipulate an ABM simulator, then I consider the result. Through this research, I was successfully able to create a spatial database from SNS and I found possibilities to overcome technical limitations on using Spatial Big Data in the transportation planning process. Moreover, it was an opportunity to seek ways of further research development.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.31-37
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• 2022

Research on what factors affect the success of the movie market is very important for reducing risks in related industries and developing the movie industry. In this study, in order to find out the degree of correlation of independent variables that affect movie performance, a survey was conducted on film experts using the AHP method and the importance of each measurement factor was evaluated. In addition, we hypothesized that factors derived from big data related to search portals and SNS will affect the success of movies due to the increase in the spread and use of smart phones. And a prediction model that reflects both the expert survey information and big data mentioned above was proposed. In order to check the accuracy of the prediction of the proposed model, it was confirmed that it was improved (10.5%) compared to the existing model as a result of verification with real data.Therefore, it is judged that the proposed model will be helpful in decision-making of film production companies and distributors.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.5
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• pp.61-73
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• 2012

Social Network Service is a web-based service that allows the people to construct relationship among users with same interest and supports various activities such as managing personal relations and sharing information or contents. Based on the IS Success Model and UTAUT model, this study examines factors influencing the satisfaction of SNS use. Questionnaires are collected from 473 students who are using the SNS. The results are followings: first, the performance expectancy, effort expectancy and social influence have positive effect on the use intention. Second, the facilitation conditions and use intention have positive effect on the use. Third, the system quality, information quality and use have positive effect on the satisfaction. Fourth, the performance expectancy is the strongest predictor of the use intention, the use intention is the strongest predictor of the use and information quality is the strongest predictor of the satisfaction.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.219-224
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• 2022

The Korea Meteorological Administration(KMA) has been released life-related indexes such as 'Life industrial weather information' and 'Safety weather information' while other countries' meteorological administrations have been made 'Human-biometeorology' and 'Health meteorology' indexes that concern human sensibility effections to diverse criteria. Although human sensibility changes have been studied in psychological research criteria with diverse and innumerous application areas, there are not enough studies that make data mining based validation of sensibility change factors. In this research I made models to estimate sensibility change caused by weather factors such as temperature and humidity, and validated by collecting sensibility data from SNS text crawling and weather data from KMA public dataset. By Logistic Regression, I clarify factors affecting sensibility changes.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.577-586
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• 2014

As SNS has increased its influence on the society as a whole, companies also have started to consider how to take advantage of the new service paying specific attention to its characteristics of immediacy, sharability and interactivity. This study aims to circumstantiate the relationship between a task support tool of SNS and task-media fit, user characteristics and performance by focusing on its usage in work field. To address this issue, a Task-Technology Fit model is used to propose a research model considering the characteristics of SNS as a social element, information technology as well as its user characteristics. The outcome shows that job characteristics, virtual competence and media characteristics have a significant influence on task-media fit, whereas virtual competence and SNS characteristics variables have a significant influence on SNS usage. Besides, task-media fit has a significant influence on SNS usage and work performance while SNS usage has a significant influence on work performance. The study suggests that strategic use of SNS helps improve work performance and these individual characteristics should be considered in planning of SNS utilizing strategy.

• 한국벤처창업학회:학술대회논문집
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• 2020.11a
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• pp.127-130
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• 2020

금융시장 환경이 점차 변화하고 있다. 흔히 지점이라 불리는 오프라인 환경에서 애플리케이션을 이용하거나 웹페이지를 이용하는 온라인 비대면 환경으로 이동함에 따라 기존의 정형 정보를 중심으로 한 소비자 행동 예측 방법보다 더 나은 방법을 모색하기 이르렀다. 이에 따라 주관적 비정형 정보의 중요하게 된 것이다. 본 연구는 비대면 대출시장에서 주관적 비정형 정보의 하나인 SNS 프로필 사진과 대출상환에 영향을 미치는 변인을 파악하는 것을 목표로 한다. SNS 프로필 사진은 자신의 감정이나 상태를 표현하는 도구로 떠오르고 있으며, 이러한 차입자의 SNS 프로필사진을 분석함으로써 정보비대칭의 최소화로, 대출심사를 위한 신용평가에 유의적 요소들을 규명하는데 목적이 있다. 본 연구에서는 대출자들이 차입자에 대한 평가의 중요 고려 요소들을 규명하고 탐색하는데 초점을 맞춰 SNS 대안 신용평가만을 심사기준으로 이용한 대출인 텐스페이스의 AI LOAN 대출자중에서 2020년 2월부터 2020년 2월까지 대출자료를 확보할 예정이다. 이러한 자료 중에서 2020년 12월 30일을 기준으로 상환기일이 도래한 대출상환 자료 중 SNS사진을 순서형 로짓회귀모형을 이용해 분석하고자 한다.