• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.49-77
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• 2021

This study uses a choice experiment approach to examine whether different types of feedstocks as well as other attributes such as the cost of bioethanol, bioethanol blending ratio, and government support policies affect consumers' biofuel preferences. We apply a standard conditional logit model, a mixed logit model (MLM), and individual coefficient estimation model (ICM) to estimate the parameters of the investigated attributes. The results show that people prefer domestic and non-food feedstock, along with tax exemption as a support policy. All the attributes show unobservable preference heterogeneity in the MLM and ICM. In particular, willingness to pay for attributes are higher in the genetically modified (GM) feedstock-unknown group than in the known one. We show the importance of using domestic and non-food feedstocks and managing GM feedstocks carefully to avoid consumer resistance when producing bioethanol in South Korea.

• Korean Journal of Construction Engineering and Management
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• v.23 no.1
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• pp.16-27
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• 2022

This study analyzed both the legal system regarding fair trade and the types of unfair trade in the construction industry. Then, it derived the factors with which to evaluate the level of fairness. These factors were classified by each type of participant in the construction industry, such as general contractors and subcontractors, and each construction stage, such as bidding, contracting, and construction. The perceived fairness level of factors was analyzed using a survey of 238 employees of general contractors and subcontractors. Next, the study developed a fairness index for the construction industry. The index showed that subcontractors perceived the level of fairness more negatively than general contractors, but both perceived the construction stage of the industry as having the lowest level of fairness. General contractors perceived the bidding and contracting stages as having the highest fairness levels, and subcontractors perceived the contracting stage as having the highest level of fairness. The developed fairness index identified the evaluation factors that need improvement and the fairness level perceived by each type of participant at each stage of construction. The results of this study can contribute to establishing measures that improve the level of fairness in the construction industry.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.3
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• pp.55-76
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• 2022

The 3rd Library Development Plan raises the need to secure space through the establishment of a regional repository library as the issue of holding books is highlighted as a common problem in public libraries. The Korean Library Law Act also impose the responsibility of integrated management of local library materials on the regional representative library. Accordingly, this study aimed at Busan Metropolitan Library, which is operating a collaborative repository in earnest among regional representative libraries, and investigated the operation status of the collaborative repository and the perception of public librarians about the collaborative repository. The data necessary for the study were obtained through surveys, interviews, field surveys, and internal data analysis. Through this, the purpose of this study was to provide basic data that will help the Busan Metropolitan Library to operate the collaborative repository efficiently in the future, and at the same time, to present basic data that can be used as a reference for the operation of the collaborative repository of the representative libraries of other regions.

• Journal of Korean Society of Archives and Records Management
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• v.23 no.3
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• pp.115-136
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• 2023

The purpose of this study is to discuss problems and seek improvement plans based on a critical analysis of the detailed standards for nondisclosure of 19 administrative departments in accordance with Article 26 of the Government Organization Act. To this end, the status of information disclosure-related regulations in 19 administrative departments was analyzed, and 6,094 cases of nondisclosed information were investigated and analyzed. In addition, through interviews with seven information disclosure experts, the analysis contents of this study were shared and reviewed. Furthermore, opinions on the effectiveness, problems, and system improvement areas of the detailed standards for nondisclosed information were collected. As a conclusion, three improvement measures were proposed: first, the legislation on the establishment of detailed standards for nondisclosure; second, the establishment of a system for regular substantive inspection of detailed standards for nondisclosure; and third, the improvement in the service of detailed standards for nondisclosure.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.518-518
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• 2023

자연하천에서 오염물질의 혼합 거동은 비균일한 지형학적 요인으로 인해 매우 복잡한 특성을 나타낸다. 일반적으로 오염물질 거동 모델링에서는 수체에서의 혼합을 Fick의 법칙에 따라 유속에 의한 이송과 난류에 의한 확산으로 계산하고, 국부적인 정체현상 등에 의한 non-Fickian 혼합을 야기하는 하천의 특성을 기하학적 지형 형상으로 구현하여 실제 현상에 근접한 혼합 거동을 재현한다. 하지만 계산의 효율성을 위하여 모델링의 차원을 낮추는 경우, 하천의 지형을 경계조건으로 고려할 수 없게 된다. 특히, 1차원 모델링의 경우 하천의 비균일성을 무시하고 1개의 유선으로 간주하며, 이 경우 non-Fickian 물질이동 해석을 위한 추가적인 현상학적 해석이 필요하다. 지난 50년간, non-Fickian 물질이동 해석을 위한 다양한 현상학적 모형이 제시되어 왔다. 하천을 흐름영역과 정체영역으로 구분하고 두 개의 영역 사이의 물질교환 속도를 모델링하거나, Random walk 개념으로 물질이 이동하는 경우와 이동하지 않는 경우를 확률론적으로 모델링하거나, 물질이 정체되었을 때 다시 빠져나오는 시간을 모델링하는 경우가 그 예이다. 본 연구에서는 선행연구에서 제시한 음함수 형태의 현상학적 모형을 기반으로, 수치적 반복계산 없이 상류 경계에서 임의의 형태의 농도곡선(shape-free breakthrough curve)을 갖는 오염물질운(cloud)이 일정 거리를 유하하며 발생하는 변화를 예측할 수 있는 해를 제시한다. 본 연구의 방법론은 추적법(routing procedure)을 활용한 Fickian 혼합 해석, 전달함수(transfer function) 형태의 정체시간분포 해석, 그리고 라플라스 도메인에서의 해석해 유도를 포함한다. 본 연구에서 제시된 해는 2020년 경상북도 김천시에 위치한 감천의 4.5 km 구간에서 수행한 추적자 실험의 현장 자료를 통해 정확도를 검증하여 타당성을 입증하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.130-130
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• 2022

기후변화로 인한 기상이변 현상으로 폭우와 홍수 등 수문학적 극치 사상의 출현 빈도가 잦아지고 있다. 따라서 이러한 기상이변 현상에 적응하기 위하여 보다 정확한 확률강우량 측정의 필요성이 증가하고 있다. 대장 지점의 미래 확률강우량 계산을 위해선 기후변화 시나리오의 비정상성을 고려해야 한다. 본 연구는 비정상적인 미래 기후에서 확률강우량이 어떻게 변화하는지 측정하는 것을 목표로 한다. Representative Concentration Pathway (RCP4.5)에 따른 우리나라의 확률강우량 계산에 인공신경망을 포함한 정상성, 비정상성 확률강우량 산정 모델들이 사용되었다. 지점빈도해석(AFA), 홍수지수법(IFM), 모분포홍수지수법(PIF), 인공신경망을 이용한 Quantile & Parameter regression technique(QRT & PRT)이 정상성 자료에 대해 확률강우량을 계산하는 모델로 사용되었으며, 비정상성 자료에 대해서는 비정상성 지점빈도해석(NS-AFA), 비정상성 홍수지수법(NS-IFM), 비정상성 모분포홍수지수법(NS-PIF), 인공신경망을 사용한 비정상성 Quantile & Parameter regression technique(NS-QRT & NS-PRT)이 사용되었다. Rescaled Akaike information criterion(rAIC)를 사용한 불확실성 분석과 적합도 검정을 통해서 generalized extreme value(GEV) 분포형 모델이 정상성 및 비정상성 확률강우량 산정에 가장 적합한 모델로 선정되었다. 이후, 관측자료가 GEV(0,0,0)을 따르고 시나리오 자료가 GEV(1,0,0)을 따르는 지점들을 선택하여 미래의 확률강우량 변화를 추정하였다. 각 빈도해석 모델들은 몬테카를로 시뮬레이션을 통해 bias, relative bias(Rbias), root mean square error(RMSE), relative root mean square error(RRMSE)를 바탕으로 측정하여 정확도를 계산하였으며 그 결과 QRT와 NS-QRT가 각각 정상성과 비정상성 자료로부터 가장 정확하게 확률강우량을 계산하였다. 본 연구를 통해 향후 기후변화의 영향으로 확률강우량이 증가할 것으로 예상되며, 비정상성을 고려한 빈도분석 또한 필요함을 제안하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.168-170
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• 2022

The government enacted and promulgated the 'Severe Accident Punishment Act' in January 2021, and is enforcing the law for workplaces with 50 or more full-time workers. However, the number of industrial accident accidents in 2021 increased by 10.7% compared to the same period of the previous year, and chemical gas Safety accidents due to leaks and explosions also occur frequently. Therefore, in high-risk industrial sites, comprehensive Safety measures are urgently needed. In this study, BLE Mesh networking in industrial sites with poor communication environment apply technology. The complex sensor AIoT device recognizes a dangerous situation as a gas sensing value, voice, and motion value, and transmits it to the server. The server monitors the risk situation in real time through information value analysis and judgment through artificial intelligence LSTM algorithm and CNN algorithm for AIoT transmission information. Through this study, through the development of AIoT devices capable of gas sensing, voice and motion recognition, and AI-applied safety management systems, It will contribute to the expansion of the social safety net by expanding its application.

• Korean Journal of Forensic Psychology
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• v.11 no.1
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• pp.63-87
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• 2020

Judgment and decision-making studies have shown that people are easily influenced and biased by information irrelevant to the object of judgment. There is a great deal of research that indicates that bias exists in the legal judgment scene. One of them is a bias induced by defendants' character evidence. This study examined whether cognitive activities such as discussion, counterfactual thinking, and peer assessment could reduce the bias induced by the character evidece. In Experiment 1, 121 college students were asked to give the percentage they believed the defendant to be guilty. There was no cognitive activity for the control group. There were three different cognitive activities for the experimental group: discussion, counterfactual thinking and discussion, and counterfactual thinking and peer assessment. Results showed reduction in bias for all the experimental groups, and there was no difference between them. In Experiment 2, there were 125 participants from general population for the same procedure as in Experiment 1. Results showed reduction in bias only for the counterfactual thinking and discussion group. In general discussion, we speculated the implication of the results and the reason for the difference between the two experiments.

• Convergence Security Journal
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• v.23 no.1
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• pp.147-159
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• 2023

Recently, Chat GPT artificial intelligence (AI) is of keen interest to all governments, companies, and military sectors around the world. In the existing era of literacy AI, it has entered an era in which communication with humans is possible with generative AI that creates words, writings, and pictures. Due to the complexity of the current laws and ordinances issued during the recent national crisis in Korea and the ambiguity of the timing of application of laws and ordinances, the golden time of situational measures was often missed. For these reasons, it was not able to respond properly to every major disaster and military conflict with North Korea. Therefore, the purpose of this study was to revise the National Crisis Management Basic Act, which can act as a national tower in the event of a national crisis, and to promote artificial intelligence governance by linking artificial intelligence technology with the civil, government, military, and police.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.364-364
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• 2021

최근 지구온난화에 따른 홍수 및 가뭄 재해의 피해는 심각해졌다. 그러므로 미래 재해로 인한 피해를 완화시키기 위한 수자원 계획 수립 및 관리의 중요성이 높아지고 있다. 전지구모형(General Circulation Model, GCM)은 기후 변화 연구에서 기후 요인의 변동을 조사하는데 널리 사용되어지고 있다. 본 연구에서는 기후 변화 시나리오를 고려하여 도시유역의 소유역 별 투수성포장 시설의 우선순위를 산정했다. 기후 변화 시나리오에는Representative Concentration Pathway(RCP)와 Shared Socioeconomic Pathway(SSP) 시나리오가 사용되었으며 CMIP5와 CMIP6의 GCM을 고려하였다. GCM을 이용하여 산정된 미래 월 강수량은 분위사상(Quantile Mapping)법의 비모수변환(Non-Parametirc Transformation)법 중 하나인 스플라인 평활(Smoothing Spline) 방법을 사용하여 편이보정 되었다. 연구대상지는 목감천 유역이 선정되었으며, 27개의 소유역에 대해 투수성포장 시설의 우선순위를 산정되었다. 우선순위 산정을 위한 평가 기준들은 Driving force-Pressure-State-Impact-Response(DPSIR) 모형을 기반으로 산정 되었다. 평가기준에 따른 27개의 소유역에 대한 값들은 통계청 및 국가수자원관리종합정보시스템(WAMIS), 편이보정 된 미래 강수량과 Storm Water Management Model(SWMM)을 이용한 유출분석 결과를 통해 도출했다. 평가기준들의 객관적 가중치 산정을 위해 엔트로피 방법을 이용했다. 최종적으로 목감천 소유역 별 투수성포장 시설의 우선순위 산정에는 다기준의사결정기법 중 하나인 TOPSIS방법을 사용했다. 산정 결과 DPSIR 모형을 기반으로 수문학적 요소에 큰 가중치를 부여한 경우 하류보다는 상류 유역에서 높은 우선순위를 확인했으며, 각 요소별 동일한 가중치를 주었을 때 하류 유역에 높은 우선순위가 집중되었다.