• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.537-538
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• 2016

본 논문은 사무용 건물의 효율적인 에너지 관리를 위하여 실제 사무용 건물의 전력 사용량 빅 데이터를 이용하여 RLS 알고리즘을 활용한 사용량 예측 모델을 설계하였다. 예측모델을 통해 도출된 예측치와 실측 데이터 사이의 오차율을 계산하고, MA알고리즘을 사용한 예측값과의 비교를 통해 제안하는 변형된 RLS 알고리즘을 이용한 에너지 사용량 예측 방법론의 타당성과 우수성을 검증하였다.

• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.133-141
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• 2010

The purpose of this paper is to suggest one of effective online questionnaire methods by using web based games. The research examines the interrelation between space design element and emotion language in the background actually used in the web games, and suggests new questionnaire methods to overcome the problems of the insincere answers which is the limitation of online questionnaire methods. The paper is to examine the related references, and compare the merits and demerits between printed and online text based questionnaires. Then it suggests the on-line questionnaire methods based web games which can improve errors of the demerits. The emotional words and phrases database is embodied by the interrelation between the emotional words and four spaces such as a dwelling, a tradition, a commerce and a fantasy based on the position decision value of Gaussian distribution. The paper suggests to be utilized for a population calculability system such as a consumers preference test.

• Economic and Environmental Geology
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• v.47 no.2
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• pp.133-146
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• 2014

There are many studies for the economic impact assessment of natural disasters, but there are few for volcanic disasters. Domestic academic research is not under active discussion because of the lack of national and social interest for volcanic eruption. This study investigated the research methodology for the economic impact assessment of natural disasters and discussed whether these can be applied to the economic impact analysis for the Baekdu Mountain volcanic disaster. The main findings are as follows: Firstly, Asia-Pacific region is the most affected by natural disasters and has the largest scale of damage. Asian and American Continent have the most economic damage. Secondly, Considering the types of damage caused by natural disasters and its complex structure, several methodologies that could be possible to estimate economic consequential damages have been compared. When applying each methodology to the Baekdu Mountain volcanic disaster, the scale of damage is likely to be over-estimated or under-estimated because of model-specific features. Thus, estimated values should be compared to each other after calculating the damage results. Thirdly, Japanese academic research on the volcanic disaster will be used as the starting point of the economic impact assessment studies for Baekdu Mountain. Using computer SW such as Hazus which is used in United States and RiskScape from New Zealand is also a good method to predict economic impact of the Baekdu Mountain volcanic disaster.

• Geotechnical Engineering
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• v.5 no.2
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• pp.33-44
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• 1989

In this paper, uncertainties in dynamic soil structure interaction (SSI) of nuclear poi.or plants subjected to seismic loading are studied considering the random characteristics of soils surround- ing the structure. Firstly sensitivity analysis is performed to study the effect of uncertain dynamic soil properties on the response of the structure. Secondly, to take into account the non-neterministic characteristics in analysis caused by random characteristics of the soil properties, Perturbation method and Rosenblueth's Two point estimates were used for this studu. The procedure is based on the comptex response method which is constituted by a combined usage of conventional finite elements for the near field and infinite elements for the far field. Results of the sensitivity analysis show that dynamic soil properties greatly affect the response of the sol.uc- lure. Results of the probabilistic analysis show that the Two-point estimate method produces good agreements with the Perturbation method.

• Journal of Korea Water Resources Association
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• v.51 no.12
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• pp.1261-1271
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• 2018

This study evaluates the applicability of the classification rule of hydrological soil group proposed by Lee et al. (2018) with its application to three river basins (Jungmuncheon, Cheonmicheon, and Hancheon) in Jeju Island. The CN values are estimated as results of this application to these three basins, which is then compared with those estimated by applying the conventional three methods. Additionally, previous studies related with the classification of soil groups of Jesu Island, such as the infiltration and rainfall-runoff analysis, are reviewed to evaluate how the resulting hydrological soil groups vary depending on the adopted classification method.. Summarizing the results is as follows. (1) Comparison result of the hydrological soil groups of Jeju Island with respect to the classification method shows that the soil group B is dominant in the application of Lee et al. (2018). However, it is hydrological soil groups C and D in the application of Hu and Jung (1987), hydrological soil groups A and C in the application of Jung et al. (1995), and hydrological soil group D in the application of RDA (2007). (2) In all the applications of Lee et al. (2018) to three selected river basins in Jeju Island, the CN valuse are found to be smaller than those by other conventional three methods.. Lastly, (3) The evaluation results of previous studies related with the classification of hydrological soil groups analysis in Jeju Island shows that the CN value in the Jeju Island may be smaller than those estimated by conventional three methods, also the initial loss higher than 0.2S.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.107-121
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• 2018

The purpose of this study is to explore the present US consumer behavioral trends and various cognitive schema types for sharing economy frame and shared service. For this, by applying Q methodology, this paper theoretically defines three differentiated typologies of US consumer in a interpretive perspective. This study is in-depth focused on discovering and categorizing characteristics of a respondent's thinking structure called 'schemata'. According to the entire procedures of Q methodology, this paper analyzed Q-sorted data from twenty-four people in the basis of forty Q-samples (statements). Consequently, we discovered four consumer groups named as Type 1 'Socialsumer', Type 2 'Smarsumer', Type 3 'Researsumer'.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1352-1356
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• 2006

우리나라에서 물과 관련된 분쟁은 민주화와 지방분권화가 가속화됨에 따라 갈등의 주체뿐만 아니라 전개양상까지도 다양하게 변화되고 있다. 최근에는 이 같은 갈등구조가 심화되고, 다양한 형태로 표출됨에 따라 사회불안요인으로까지 확대되고 있어 합리적이고 효율적인 분쟁해결을 지원하기 위한 방법론이 필요한 실정이다. 본 연구에서는 대안적 분쟁해결(ADR, Alternative Dispute Resolution)의 기법 중 하나인 조정(mediation)과정에서의 조정안 도출을 위해 게임이론을 적용하였다. 게임이론에 의한 합리적 해는 제시된 조정안에 객관성을 부여함으로써 의사결정과정의 신뢰성을 향상시킬 것으로 기대된다. 본 연구를 통해 제시한 방법론을 지역 간물 배분과 관련한 가상의 분쟁상황에 적용하였으며, 동적완비정보게임(dynamic complete information game)에서의 교섭게임(bargaining game)으로 구성한 뒤, 경기자(players) 간 배분비율과 배분량을 도출하였고, 이를 편익함수에 의한 양 경기자의 부족편익과 초과편익을 비교하여 그만큼의 편익 차를 보상해주는 조정을 모색하였다. 본 연구는 제3자(third party)에 의한 조정안 제안 시 객관적이고 합리적인 해를 제공하여 이해당사자들이 합의를 이끌어 내는 데 크게 기여할 수 있을 것으로 사료된다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.935-940
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• 2023

Most text data collected through web scraping for artificial intelligence and big data analysis is generally large and unstructured, so a purification process is required for big data analysis. The process becomes structured data that can be analyzed through a heuristic pre-processing refining step and a post-processing machine refining step. Therefore, in this study, in the post-processing machine refining process, the Korean dictionary and the stopword dictionary are used to extract vocabularies for frequency analysis for word cloud analysis. In this process, "user-defined stopwords" are used to efficiently remove stopwords that were not removed. We propose a methodology for applying the "thesaurus" and examine the pros and cons of the proposed refining method through a case analysis using the "user-defined stop word thesaurus" technique proposed to complement the problems of the existing "stop word dictionary" method with R's word cloud technique. We present comparative verification and suggest the effectiveness of practical application of the proposed methodology.

• Nuclear Engineering and Technology
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• v.18 no.1
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• pp.38-47
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• 1986

A statistical procedure, which uses response surface method and Monte Carlo simulation technique, is proposed for analyzing the thermal margin of light water reactor core. The statistical thermal margin analysis method performs the best.estimate thermal margin evaluation by the probabilistic treatment of uncertainties of input parameters. This methodology is applied to KNU-1 core thermal margin analysis under the steady state nominal operating condition. Also discussed are the comparisons with conventional deterministic method and Improved Thermal Design Procedure of Westinghouse. It is deduced from this study that the response surface method is useful for performing the statistical thermal margin analysis and that thermal margin improvement is assured through this procedure.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.238-238
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• 2023

최근 이상기후현상으로 홍수와 가뭄의 발생 빈도 증가 및 하천유지유량 부족 등 하천에서 유량 변동이 크게 나타나고 하천 환경 변화에 따른 수질오염, 갈수기 수질악화 등 하천에서 다양한 문제들이 발생하고 있다. 수질은 매개변수별 기준 농도와 측정 농도를 비교하여 평가하지만 직독식 측정 항목과 실험실 분석 항목 및 미측정 항목을 포함하기 때문에 수질 상태를 정확하게 나타내기 어렵다. 물리적, 화학적 및 생물학적 특성의 매개변수를 분석하여 수질을 평가하지만, 복잡한 수질 데이터를 단순하고 논리적으로 수질을 요약하기 위해 단일 값으로 매개변수를 통합한 수질지수가 개발되었다. 다양한 국가 및 기관에서 개발된 수질지수는 방법론, 최종산출 방법의 차이로 동일한 지점 및 기간에서 측정되는 자료를 각각의 수질지수 방법론을 적용하였을 때 상이한 점수 및 등급이 발생하여 유역 특성에 적절한 수질지수를 활용하는 것이 필요하며, 유량 변동이 고려되어야 한다. 따라서 본 연구에서는 기존의 수질지수 산정 매개변수를 유역 특성 및 관리기준을 고려하여 매개변수를 수정하고 매개변수별 중요도에 따른 가중치를 재산정하고 유량 인자를 추가하여 복합적인 하천 수질을 종합적으로 평가하고자 한다. 또한, 물리모형과 데이터 모형을 활용하여 기후변화에 따른 수질 변동 평가를 통해 수문학적 변화가 하천 수질에 미치는 영향을 평가하고자 한다.