• Convergence Security Journal
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• v.12 no.6
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• pp.51-59
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• 2012

This paper presents a new learning model, "BoX(Battle of X)", which is based on a concept from the culture of B-Boys who enjoy the race of "distributed cognition" to win in their contests. The "battle" means a contest and "X" means a course to which our learning model can be applied. The goal of this paper is to present a learning model that allow students to be in a state of learning-flow and provides them with the ability of creative problem solving simultaneously. The key of the "BoX" implementation is to design a principle that controls contests between students to maximize distributed cognitive activities for reducing individual's cognitive load. This paper also presents how-to of "BoX" implementation and its effects. Through the analysis on learning achievement of students during one year course of IT education, we have confirmed that the "BoX" model provides students with higher learning achievement and learning-flow level in comparison with traditional learning model.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.55-63
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• 2015

South Korean Government confirmed the creation of competency-centered society as a key national issue and announced development and utilization plan of NCS(National Competency Standards) On May 21, 2013. As a part of the government's plans, they had been developed NCS about 833 jobs by 2014. But Big Data related job, as an emerging job, cannot be seen as a reliable form of job yet. As, at the major industrialized countries and the domestic, education and job competency models of knowledge and skills to take advantage of various types of Big Data have coming, it is a situation that is certainly not settled and more or less in confusion. In this study, for the purpose to present the Big Data Competency reference model for companies and organizations to effectively leverage Big Data, we have presented this reference model and summarized competency elements units such as 20 knowledges and 15 skills of Big Data competency.

• Convergence Security Journal
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• v.11 no.1
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• pp.25-32
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• 2011

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The Weibull distribution applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R_{sq}$.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.5
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• pp.1007-1017
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• 2011

It is important to set the new interconnection system under NGN. The traditional interconnection system is based on traffic, but this is not suitable for IP based service. Therefore, it is needed to ensure the universal access to network without trouble about the network topology. This paper prepares the evaluation criteria and evaluates the alternatives. Specifically, we deduce the alternatives and evaluates the alternatives of interconnection settlement system based on the condition of efficient interconnection, the retail price and access charging model, and the previous studies evaluating and examining the various alternatives. Finally, we evaluate each alternatives by the criteria.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.115-126
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• 2021

This study develops a simulation model that performs flood analysis considering both urban and river flood. For the analysis of river flood, this study considers river overflow by levee breach, and reflects the concept of the dual drainage systems for the analysis of urban flood. In relation to the surface flood analysis, FEM technique is applied to the flood diffusion analysis in order to conduct the flow analysis of urban and river flood simultaneously. For the verification of the model, it is first applied to the conceptual model, and then applied to the actual watershed. It is expected that this study will be able to reduce flood damage and to prepare effective countermeasures to reduce flood damage.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.281-285
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• 2018

The purpose of this research is to make a Flipped-MOOC model which can be applied and practiced in the college course after analyzing the characteristics and cases of MOOC and Flipped learning. For this, this study implemented the following tasks. First, this study analyzed the management and class types of MOOC and flipped learning through literature research. Secondly, flipped learning was applied in the course for a semester and the strong point and weak point of the course was analyzed and the alternative was suggested. Thirdly, the core ideas and strategies of Flipped-MOOC model was deducted for enhancing the participation and interaction of the students in the course which uses the MOOC content and applies flipped learning, and the instructional strategies and direction for the effective management in the real educational field was suggested. As a result, Flipped-MOOC model is expected to contribute for the educational revolution, change and quality improvement, and it is expected that Flipped-MOOC model might contribute to the lifelong education and educational competitiveness.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.75-84
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• 2019

The purpose of this paper is to examine the factors influencing on loyalty in US online shopping malls. The study proposed a model to investigate the relationship among quality of sites, satisfaction, attitude, and loyalty. The hypotheses were examined by analyzing a structural equation model. 280 US samples were used for the final analysis. The results show that this model demonstrates good fit for the samples. The ease of use was found to be a significant variable in their satisfaction, while it did not have the direct effect on attitude toward the sites. The information quality was found to be a crucial variable in consumers' satisfaction and attitude toward the site. Satisfaction directly affected attitude as well as loyalty, and attitude also directly affected loyalty. Thus, the structural relationship among the variables of customers' loyalty was verified. This research provides practical insights into US consumer behaviors that would be beneficial to marketers when they make decisions for the US e-commerce market.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.68-77
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• 2019

The purpose of this study is to identify the optimal model to explain safety behavioral intention according to the recognition of safety communication in cabin through comparison of Planned behavioral theory and Triandis' theory of interpersonal behavior. In order to accomplish the study purpose, research model and hypothesis were established based on the previous research. As a result of the analysis, it was found that attitude and Perceived Behavioral Control had a positive effect on the safety behavioral intention. Triandis theory shows that social factors and habits have a positive impact on safety behavioral intention. In addition, A comparison of the two models confirms that both psychological processes of recognition and emotion are accompanied by the relationship between safety information awareness and safety behavioral intention.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.66-66
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• 2020

최근 기후변화로 인한 전 세계적인 기온상승이 야기되고 있으며, 농업에 직접적인 영향을 주는 기상학적 및 수문학적 변화가 급격하게 진행되고 있다. 우리나라의 경우 최근 7년 동안 지역별로 극심한 가뭄이 매년 발생하고 있고, 가뭄의 발생 빈도와 강도가 증가하는 추세이다. 특히 밭의 경우 농업용 저수지 등 수리시설물로부터 관개용수를 공급받는 논 작물과 달리 자연 강우를 통해 필요한 용수량을 공급받는 천수답이 대부분이고 관개시설이 부족하기 때문에, 기후변화에 의한 가뭄의 취약성이 높다. 밭작물은 작물의 생육 시기와 기후 환경, 수자원 환경에 민감하고 토양수분을 흡수함으로써 생육하기 때문에 이러한 밭작물의 소비수량 및 관개용수량은 증발산량 뿐만 아니라 토양내 수분의 이동을 고려하여 수분 부족량을 산정해야 한다. 본 연구에서는 미래 기후변화에 의한 밭가뭄 평가를 위하여 밭 작물별 소비수량 및 관개용수량을 추정하기 위한 밭 토양수분 물수지 모형 (Soil Moisture Model)을 구성하였다. 또한 대표농도경로 (Representative Concentration Pathway, RCP) 시나리오 기반의 제5차 결합기후모델상호비교사업 (Coupled Model Intercomparison Project Phase 5, CMIP5)에서 제공하는 RCP 시나리오를 기반으로 한 전지구 기후모델 (General Circulation Model, GCM)의 기후예측결과를 적용함으로써 미래 밭 가뭄 평가를 수행하였다. 과거 기상자료 및 미래 대표농도경로 시나리오와 작물 기초자료를 수집하여 과거 및 미래 작물증발산량을 산정하였으며, 토양수분 물수지 모형에 적용하여 밭작물의 토양수분 변화를 모의하고 기후변화에 따른 작물별/생육시기별 소비수량 및 관개용수량을 추정하였다.

• Smart Media Journal
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• v.11 no.7
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• pp.19-27
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• 2022

The artificial intelligence software market is expected to grow sixfold from 2020 to 2025. However, the software development process is not standardized and there is no standard for calculating the cost. Accordingly, each AI software development company calculates the input man-hours according to their respective development procedures and presents this as the basis for the development cost. In this study, the development stage of "artificial intelligence-based software" that learns with a large amount of data and derives and applies an algorithm was defined, and the required labor was collected by conducting a survey on the number of man-hours required for each development stage targeting developers. Correlation analysis and regression analysis were performed between the collected man-hours for each development stage, and a model for predicting the man-hours for each development stage was derived. As a result of testing the model, it showed an accuracy of 92% compared to the collected airborne effort. The man-hour prediction model proposed in this study is expected to be a tool that can be used simply for estimating man-hours and costs.