• The KIPS Transactions:PartD
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• v.9D no.1
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• pp.21-30
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• 2002

The active database system introduces the active rules detecting specified state. As the condition evaluation of the active rules is performed every time an event occurs, the performance of the system has a great influence, depending on the conditions processing method. In this paper, we propose the conditions processing system with the preprocessor which determines the delta tree structure, constructs the classification tree, and generates the aggregate function table. Due to the characteristics of the active database through which the active rules can be comprehended beforehand, the preprocessor can be introduced. In this paper, the delta tree which can effectively process the join, selection operations, and the aggregate function is suggested, and it can enhance the condition evaluation performance. And we propose the classification tree which effectively processes the join operation and the aggregate function table processing the aggregate function which demands high cost. In this paper, the conditions processing system can be expected to enhance the performance of conditions processing in the active rules as the number of conditions comparison decreases because of the structure which is made in the preprocessor.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.171-182
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• 2006

In this study, rainfall-runoff analysis was performed for Yongdam watershed($930km^2$) using KOWACO flood analysis model based on Storage Function Method as lumped hydrologic model and Vflo which was developed for real-time flood prediction by University of Oklahoma. The results shows that, the hydrographs of lumped and distributed model with uncalibrated parameters which estimated from physical or experimental relationship show significant biases from observed hydrographs. However, the hydrograph at Cheoncheon site from the distributed model follows the actual hydrograph to an extent that no more calibration is necessary. It encourages that distributed model can have advantages for application in real-time flood forecasting as physically based distributed hydrologic model which can construct event-independent basin parameter group.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.265-277
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• 2018

This study examined if support from separated children as a factor of depression was distinguishable between male and female elderly individuals living in one-person households. This study analyzed data of 2,354 elderly individuals living in one-person households(407 males and 1,947 females) who were 65 years of age or older using data from the 2014 National Elderly Survey on Living Conditions and Need for Welfare. Employing logistic regression, IADL, self-rated health, and, friends were important for male elderly individuals living in one-person households, while self-rated health, friends, employment, chronic diseases, and emotional support from separated children were noticeable for female elderly individuals living in one-person households. To better understand the mental health needs by gender of elderly individuals living in one-person households, their differences in emotional support from separated children, should be considered.

• The Korean Journal of Applied Statistics
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• v.33 no.6
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• pp.723-738
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• 2020

In this paper, we study a method to discriminate between trend stationary and difference stationary processes. Since a crucial ingredient of this discrimination is to determine the existence of unit root, we can use a unit root testing strategy. So, we introduce a discrimination based on unit root testing and propose the method using the adaptive lasso. Our Monte Carlo simulation experiments show that the adaptive lasso improves the discrimination accuracy when the process is trend stationary, but has lower accuracy than unit root strategy where the process is difference stationary.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.21-21
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• 2023

현재 구축되어있는 방재시설의 능력은 기후위기로 인해 수용가능한 극한강우량의 범위를 넘어서고 있어 대형화된 홍수로 인한 피해가 꾸준히 발생하고 있다. 이로 인해 잠재적 홍수로 인한 도시회복도 관리와 홍수로 수반되는 피해에 대한 복구의 중요도가 높아지고 있다. 회복도는 도시의 재해 취약성, 저항, 적응, 복구, 완화에 대한 능력을 포괄하는 개념으로써 최근 주목받고 있는 개념이지만 대부분의 연구는 주로 시설에 대한 회복도 평가가 이루어지고 있다 (Sen et al.,2021). 또한 재해 후 도시복구에 관한 연구는 다수 존재하지만 복구에 따른 지역의 회복도 변화와 라이프라인과 같은 주요 시설의 복구에 따른 회복도 차이를 고려한 연구는 미비한 실정이다. 따라서 본 연구에서는 도시침수 발생 후 라이프라인을 고려한 도시복구 우선순위 산정모델을 개발하고 재해관리의 효율성 향상측면에서 도시의 기능적 회복도를 평가하였다. 이를 위해 라이프라인 중 도로 복구결과의 평가를 위하여 리스크 매트릭스 기법을 이용한 도로위험도평가를 수행하였으며 도시의 회복도를 측정하였다. 회복도를 크게 홍수로부터 도시가 받은 영향과 재해복구역량으로 구성하였으며 정량적인 평가를 위해 각각 손상함수와 재해재난목적예비비를 활용하여 산정하였다. 이후 복구우선순위를 산정하였으며 복구와 도시회복도와의 관계를 분석하기 위하여 재해연보 자료를 기초로 회귀분석을 통해 복구비용을 추정하였다 (유순영 등.,2014). 시범지역에 적용한 결과 시설 및 도로 복구에 따른 도시영향의 변화보다 복구비사용으로 인한 재해복구역량의 변화가 더욱 크다는 것을 확인하였다. 이는 재해재난목적예비비의 중요성이 크다는 것을 의미하며 향후 추가적인 인문학적, 법제적 요소가 회복도에 미치는 영향을 연구한다면 도시회복도 향상 및 도시복구에 관한 정책적 의사결정에 큰 도움이 될 것이다.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.5
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• pp.93-105
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• 2011

This study was performed to figure out the effects of perceived usefulness and ease of use in Technology Acceptance Model(TAM) affecting acceptance attitude and intention to use in smart learning. In addition, the study recognized the need for differentiation of learning time by analyzing the difference of effects influencing acceptance attitude of perceived usefulness and ease of use during learning time, which is at the beginning, midterm, and at the end of the term. As the results of the study, it showed that there were differences between the factors, the learning time of which was considered, affecting acceptance attitude and intention to use. Furthermore, in order to improve the effectiveness of building a smart campus, which is currently under the construction, the study argued that universities need to consider the learning relevance and subjective norm as important factors in perceived usefulness of smart learning. Finally, the need for the design of various smart learning types became accepted considering learning time.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.138-138
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• 2011

신 재생에너지 산업의 확대를 뒷받침하고 산업의 지속적인 성장을 달성하기 위해서는 지속적인 인력의 공급이 무엇보다 중요하다. 뿐만 아니라 신 재생에너지는 기존 에너지원과 다르게 자국 내에서 생산 및 소비가 함께 이루어진다. 따라서 신 재생에너지의 확대는 국가의 일자리 창출과 직접적으로 연관된다. 하지만 지금까지 국내에서는 신재생에너지 인력수요 전망을 위한 방법론 연구가 충분히 이루어 지고 있지 않은 실정이다. 이에 본 연구에서는 인력수요 전망을 위한 연구를 실시한 호주와 미국 사례를 고찰하여, 국내 신 재생에너지 인력수요 전망을 위한 고려요인 및 전망 방법론 연구를 실시하였다. 연구결과 미국은 기존화석에너지와의 인력수요 차이를 고찰하는데 초점을 맞추어 분석을 실시하였다. 또한 호주는 시나리오 기법을 통하여 미래 신재생에너지 보급상황에 따라 달라 질 수 있는 인력의 수요를 예측 하였다. 두 국가의 경우 신 재생에너지 부문의 인력수요가 급격하게 증가할 것으로 보고 있다. 호주의 경우 2008년 기준으로 10천명이던 신 재생에너지 인력수요가 2020년 24천명~30천명으로 증가할 것으로 예상(연평균 16.7% 증가)하고 있다. 미국에서는 2007년 500천명의 신 재생에너지 산업 인력이 재직 중이며, 신 재생에너지 확대와 함께 2030년에는 7,300천명의 인력수요가 있을 것으로 분석하고 있다. 신재생에너지 인력수요에 대한 연구를 실시한 사례를 살펴보면 국가는 목적에 부합하는 기준을 바탕으로 연구를 수행하여 있음을 알 수 있다. 따라서 우리나라도 향후 신재생에너지 인력 증가에 대비하여 관련 인력양성 정책을 올바르게 세우기 위해서는 관련 연구가 뒷받침 되어야 할 것으로 사료된다. 해외 사례 고찰 내용을 바탕으로 향후 국내 신 재생에너지 인력 수요 예측 시 고려해야 할 요인들을 다음과 같이 정리할 수 있다. 먼저 인력수요의 예측을 위해서는 현실적인 신 재생에너지 성장 시나리오의 설정이 요구된다. 미국의 사례와 같이 신 재생에너지와 재생에너지의 인력수요 차이를 비교하는 것도 신 재생에너지 인력수요를 정량화 하는데 큰 도움이 될 수 있다. 또한 인력의 범위를 직종별, 학력별로 구체화 하려는 노력이 필요할 것이다. 마지막으로 신재생 인력수요 전망을 바탕으로 효과적인 인력양성 프로그램을 구체화 해야 할 것이다.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.167-173
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• 2019

It is reported that the higher the satisfaction of students' clinical practice, the more the ability to perform their work. It is important to assess student satisfaction with clinical practice. This study is to investigate the satisfaction of occupational therapy students' clinical practice. The research data will be used as basic data for effective clinical practice. The subjects of this study were 319 occupational therapy students who completed clinical training. The data collection period was from August 1, 2017 to August 13, 2017. The questionnaire used in the previous literature was used to measure the satisfaction of clinical practice. The collected data were statistically processed using the SPSS 12.0 statistical program. The general characteristics of the study subjects were more female, university more. Satisfaction with major was the most satisfied and the training period was the most 24 weeks. Rehabilitation hospitals were the highest in the training institutions. The results showed that the satisfaction of clinical practice was higher in the order of clinical practice, satisfaction after clinical practice, clinical practice environment, teaching method of clinical practice, clinical practice time, evaluation of clinical practice, and internal conflicts in clinical practice. Clinical practice satisfaction according to general characteristics was significantly different according to the major satisfaction and the training period.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.131-143
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• 2022

Focusing on FinTech keywords, this study is analyzing newspaper articles and Twitter data by using text mining methodology in order to understand trends in the industry of domestic digital financial service. In the growth of FinTech lifecycle, the frequency analysis has been performed by four important points: Mobile Payment Service, Internet Primary Bank, Data 3 Act, MyData Businesses. Utilizing frequency analysis, which combines the keywords 'China', 'USA', and 'Future' with the 'FinTech', has been predicting the FinTech industry regarding of the current and future position. Next, sentiment analysis was conducted on Twitter to quantify consumers' expectations and concerns about FinTech services. Therefore, this study is able to share meaningful perspective in that it presented strategic directions that the government and companies can use to understanding future FinTech market by combining frequency analysis and sentiment analysis.

• Journal of Navigation and Port Research
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• v.40 no.4
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• pp.223-230
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• 2016

While marine transport freight is steadily increasing, people are more interested in terminals handling cargo. But the domestic researches on terminals were almost on container terminal. This study attempted to study the service quality for bulk terminals. The users of bulk terminal services were divided into shipowners and shippers to compare their differences by using bulk terminal service provided. During the attributions proposed in this study, Tangibles were descripted by the numbers of berth or depth, facilities, and so on. So it was suitable to consider the tangibles by formative indicators. And also this study has tried using "reflective model" and "formative model" to make a measurement model for comprehensive analyses. The results showed that all of the items were significant except the relation between empathy and performance satisfaction in the overall measurement model analyses. User groups difference analyses results have showed that the trust responsiveness impact on performance satisfaction was more importantly assessed by shippers than by shipowners. It was expected to use the results of this study as a good strategic resource to help bulk terminal administrators make various expansion plans to improve the bulk terminal's competitiveness in the future.