• Management & Information Systems Review
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• v.37 no.1
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• pp.139-154
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• 2018

R programming is free and open source system associated with a rich and ever-growing set of libraries of functions developed and submitted by independent end-users. It is recognized as a popular tool for handling big data sets and analyzing them. Reflecting these characteristics, R has been gaining popularity from data analysts. However, the antecedents of R technology acceptance has not been studied yet. In this study we identify and investigates cognitive factors contributing to build user acceptance toward R in education environment. We extend the existing technology acceptance model by incorporating social norms and software capability. It was found that the factors of subjective norm, perceived usefulness, ease of use affect positively on the intention of acceptance R programming. In addition, perceived usefulness is related to subjective norms, perceived ease of use, and software capability. The main difference of this research from the previous ones is that the target system is not a stand-alone. In addition, the system is not static in the sense that the system is not a final version. Instead, R system is evolving and open source system. We applied the Technology Acceptance Model (TAM) to the target system which is a platform where diverse applications such as statistical, big data analyses, and visual rendering can be performed. The model presented in this work can be useful for both colleges that plan to invest in new statistical software and for companies that need to pursue future installations of new technologies. In addition, we identified a modified version of the TAM model which is extended by the constructs such as subjective norm and software capability to the original TAM model. However one of the weak aspects that might inhibit the reliability and validity of the model is that small number of sample size.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.590-590
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• 2015

본 연구는 집중호우에 의한 홍수예측 및 소유역의 유출거동에 대한 수문학적 민감성(susceptibility) 규명을 목적으로 강우강도, 지속기간 및 토양포화도 변화에 따른 홍수유출특성을 분석하여 유역의 유출거동 민감성을 표출할 수 있는 노모그래프를 개발하였다. 개별 홍수사상에 대한 유출거동 특성 분석을 위하여 한국건설기술연구원의 대표 시험유역인 설마천 유역의 과거 17년간(1996 ~ 2012)의 10분 간격의 강우량 및 유출량 자료를 수집하여 홍수유출해석을 수행하였다. 설마천 시험유역의 일누가강우량 100mm 이상, 50개 홍수사상에 대한 홍수유출해석은 유역 물순환 해석모형인 CAT(Catchment hydrological cycle Assessment Tool)을 이용하였으며 모의결과를 바탕으로 홍수사상별 지체시간, 강우강도, 지속기간 및 토양포화도 변화에 따른 홍수유출특성을 상세히 분석하였다. 이 중에서도 지체시간은 유역반응을 나타내는 시간변수로서 수문모델링 및 홍수량예측에 매우 중요한 요소이다. 특히, 강우량에 대한 홍수량의 반응이 빠른 소유역의 경우에 홍수량예측에 큰 영향을 미친다. 따라서 강우강도, 지속기간, 토양포화도의 변화량에 대한 지체시간의 거동을 R 프로그래밍 언어 및 3D Surfer를 이용하여 분석한 후 최종적으로 소유역의 홍수유출 특성을 나타내는 3차원 홍수 유출특성 노모그래프를 개발하였다. 분석에 사용된 R 프로그래밍 언어는 통계 계산과 그래픽을 위한 프로그래밍 언어이자 소프트웨어 환경으로 데이터의 조작 및 수치연산, 시각화를 수행할 수 있는 기능을 여러 패키지를 통해 구현할 수 있다. 따라서 본 연구에서는 R을 이용하여 10분 단위의 강우 및 유출량 자료를 1시간 및 1일 자료로 구축하고 17년간의 과거 홍수사상을 분리하여 추출하는 R 홍수유출해석 시스템을 개발하였으며 추출된 홍수사상을 관측 유출량 및 관측 토양수분을 포함하여 시각화함으로써 강우 및 토양수분 변화에 따른 소유역의 유출거동 민감성을 확인할 수 있었다. 분석 결과, 지체시간은 강우지속기간 및 토양포화도에 민감한 거동특성을 나타냈으며 토양포화도는 첨두홍수량의 변화에 민감한 영향을 주는 것으로 확인되었다. 개발된 3차원 홍수유출특성 노모그래프는 유역의 규모 및 지형물리학적 특성에 따라 다양하게 나타날 것으로 판단되며 여러 계측유역에 적용함으로써 유역별 홍수유출 반응특성을 정량화할 필요가 있다. 즉, 강우강도, 지속기간, 지체시간, 포화도 등의 변화에 따른 유역의 홍수유출 반응특성을 규명함으로써 미계측 유역의 홍수량예측 실무에 활용할 수 있을 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.190-200
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• 2020

This study examined the effectiveness of the 'Youth Technology Transfer Specialist Training Project' for students of natural sciences and engineering colleges implemented using a 2018 revised supplementary budget. The cause and effect research model composed of project satisfaction, results of employment, and start-up. Five factors were developed based on a literature review. A total of 2,363 questionnaires were collected through 66 Industrial-Academic Cooperation Groups participating in the Youth TLO (Technology Licensing Officer) program for an empirical test. SPSS 23.0 was used to analyze the obtained data empirically and verify the hypotheses. The result of the analysis showed that the following five independent factors were significant for the program satisfaction as well as the program satisfaction for the performance of employment and start-up: 1) project operation-related recruitment and selection, 2) training support, and 3) working conditions, 4) control of the project, and 5) activity support. This study verified the level of satisfaction with the program empirically using comprehensive data. In terms of practical implications, improvement of operational programs helps improve program satisfaction, and in turn, results in improvement of employment and start-up of youth to achieve the goals of government.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1376-1379
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• 2009

Recently many Hotels have implemented and operated the Hotel Information System(HIS). These HIS-implementation evoke the significant changes in hotel management. So many interest and researches in HIS has received the spotlight from the hotel managements. Many researcher about HIS focused on the Critical Success Factors (CSF) from the viewpoint of HIS implementation. At this moment we need also the research about significance change of CSF with the laps of time. This kind of research are very critical for the successful operation of HIS. To achieve the objectives of this paper, the Innovation-Theory of E. M. Roger was implemented. As the result of this research we can get the various maturity point of each CSF with the laps of time. For the data gathering many major hotel in Korea were interviewed, and 84 valid questionaires were used for data analysis. The Cronbach's ${\alpha}$ was 0.7239, which means all data were significant.

• Korean Journal of Ecology and Environment
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• v.49 no.4
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• pp.279-288
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• 2016

Stable Isotope Analysis(SIA) of carbon and nitrogen is useful tool for the understanding functional roles of target organisms in biological interactions in the food web. Recently, mixing model based on SIA is frequently used to determine which of the potential food sources predominantly assimilated by consumers, however, application of model is often limited and difficult for non-expert users of software. In the present study, we suggest easy manual of R software and package SIAR with example data regarding selective feeding of crustaceans dominated freshwater zooplankton community. We collected SIA data from the experimental mesocosms set up at the littoral area of eutrophic Chodae Reservoir, and analyzed the dominant crustacean species main food sources among small sized particulate organic matters (POM, <$50{\mu}m$), large sized POM (>$50{\mu}m$), and attached POM using mixing model. From the results obtained by SIAR model, Daphnia galeata and Ostracoda mainly consumed small sized POM while Simocephalus vetulus consumed both small and large sized POM simultaneously. Copepods collected from the reservoir showed no preferences on various food items, but in the mesocosm tanks, main food sources for the copepods was attached POM rather than planktonic preys including rotifers. The results have suggested that their roles as grazers in food web of eutrophicated reservoirs are different, and S. vetulus is more efficient grazer on wide range of food items such as large colony of phytoplankton and cyanobacteria during water bloom period.