• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.27-38
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• 2021

Non-Contact society has arrived due to social distinctions by COVID 19 pandemic. The arrival of the era of non-contact is having a profound impact on educational activities as well as on our social and economic lives. In response to the pandemic situation universities and all other educational institutions have implemented non-contact online classes. In particular arts physical educations and other practical classes are experiencing many difficulties due to the limited environment caused by social distancing from COVID 19 pandemic. Vocal classes are undergoing a transition mainly from 1:1 individual face-to-face lessons or group teaching methods to the non-contact era of online teaching or lesson methods. It is necessary to look at the direction of non-face-to-face practical classes in preparation for accelerated educational innovation. Edu-tech, which innovates technology in the wake of the age of non-contact after COVID 19 pandemic is expected to begin in earnest at school sites in Korea which have remained in the traditional way of education. The purpose of this study is to effectively non-contact vocal instructional methods by cogitating the current state of higher practical education and vocal classes in Korea. In addition, This study conducted two components of satisfied instructions such as 'Priorlearning of monitoring of recorded singing', and 'Immediate analyzing of various vocal contents and supplementary lessons of music theory' with a research on the peos and cons of non-face-to-face vocal class. Over a period of time, The effective non-contact of vocal instructional methods is in need to supplement non-face-to-face vocal class problems and further research and system construction with non-face-to-face vocal class's pros and cons to construct high-quality lecture contents is warranted.

• Journal of Navigation and Port Research
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• v.45 no.6
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• pp.333-345
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• 2021

Amid the rapidly changing logistics environment and demand changes in the post-corona-19 era, the importance of the cold chain logistics sector is being highlighted. The scope of cold chain is not limited to food, but is expanding to various fields such as pharmaceuticals, semiconductors, and flowers. The demand on the storage and transportation of corona vaccines is rapidly increasing. The rapid increase in domestic low-temperature facility construction and renovation may lead to the saturation of the cold chain related industry in the future and slow growth. In preparation for this, it is necessary to accumulate infrastructure know-how using IT technologies, and to consider entering into the UN procurement market as a potential niche market, by taking advantage of Korea's recent global status. The demand for cold chain in the UN procurement market is increasing mainly in underdeveloped countries, and it is expected to continue to grow. In this paper, the capabilities of domestic cold chain related companies were analyzed, domestic and overseas cold chain logistics market trends and overseas market entry status were investigated. An in-depth survey was conducted to present strategies for domestic cold chain logistics related companies to enter the UN procurement market.

• Atmosphere
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• v.31 no.5
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• pp.607-623
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• 2021

This study presents projections of future extreme climate over the Korean Peninsula (KP), using bias-corrected data from multiple regional climate model (RCM) simulations in CORDEX-EA Phase 2 project. In order to confirm difference according to degree of greenhouse gas (GHG) emission, high GHG path of SSP5-8.5 and low GHG path of SSP1-2.6 scenario are used. Under SSP5-8.5 scenario, mean temperature and precipitation over KP are projected to increase by 6.38℃ and 20.56%, respectively, in 2081~2100 years compared to 1995~2014 years. Projected changes in extreme climate suggest that intensity indices of extreme temperatures would increase by 6.41℃ to 8.18℃ and precipitation by 24.75% to 33.74%, being bigger increase than their mean values. Both of frequency indices of the extreme climate and consecutive indices of extreme precipitation are also projected to increase. But the projected changes in extreme indices vary regionally. Under SSP1-2.6 scenario, the extreme climate indices would increase less than SSP5-8.5 scenario. In other words, temperature (precipitation) intensity indices would increase 2.63℃ to 3.12℃ (14.09% to 16.07%). And there is expected to be relationship between mean precipitation and warming, which mean precipitation would increase as warming with bigger relationship in northern KP (4.08% ℃^-1) than southern KP (3.53% ℃^-1) under SSP5-8.5 scenario. The projected relationship, however, is not significant for extreme precipitation. It seems because of complex characteristics of extreme precipitation from summer monsoon and typhoon over KP.

• Korean Journal of Cognitive Science
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• v.33 no.4
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• pp.169-203
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• 2022

As artificial intelligence (AI) technology advances, the number of cases in which AI becomes an object or subject of moral judgment is increasing, and this trend is expected to accelerate. Although the area of AI in human society expands, relatively few studies have been conducted on how people perceive and respond to AI. Three studies examined the effect of the anthropomorphism of AI on its responsibility. We predicted that anthropomorphism would increase the responsibility perception, and perceived agency and perceived patiency for AI would mediate this effect. Although the manipulation was not effective, multiple analyses confirmed the indirect effect of perceived patiency. In contrast, the effect of perceived agency of AI was somewhat mixed, which makes the hypothesis partially supported by the overall result. This result shows that for the moral status of artificial agents, perceived patiency is relatively more critical than perceived agency. These results support the organic perspective on the moral status that argues the importance of patiency, and show that patiency is more important than agency in the anthropomorphism related study of AI and robots.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.441-441
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• 2023

통합물관리는 2000년 이전부터 필요성이 논의되다가 2019년 물관리기본법이 제정·시행되면서 수량, 수질, 수생태, 방재 등 분야의 물관리 통합이 단계적으로 추진되고 있다. 수자원장기종합계획, 물환경관리 기본계획, 국가물관리기본계획, 4대강별 유역물관리종합계획 등이 수립되거나 수립중에 있다. 2021년 6월에 수립된 국가물관리기본계획에서는 통합물관리 정량지표들을 물환경, 물이용, 물안전, 물산업, 거버넌스의 5개 분야로 구분하여 제시하였고, 4대강 유역물관리종합계획(안)에서는 국가기본계획의 지표들을 근간으로 유역별 특성을 고려한 정량지표를 설정하고 있다. 수자원장기종합계획부터 유역물관리종합계획까지 통합물관리 정량지표들의 변천 내용과 현황을 검토하였다. 수자원장기종합계획(2016~2020)의 전략과 목표는 "①맑은 물 공급: 급수보급율, 관망 복선화율, 댐 부족량 공급기준, 비상급수 피해인구, 스마트시티 음용률, 누수율 저감, 물 기본법 제정, ②홍수안전 기반구축: 하천기본계획, 하천정비, 수해금액, 도시하천 종합치수대책 수립, 국가하천 홍수예보 지점, 홍수예보시간 단축지점 비율, ③친수환경 조성: 하천유지유량, 하천 이용객, 어류종 및 철새종 증가, ④수자원산업 및 기술개발: 일자리, 수자원산업 육성제도, 해외수주액, 외국 MOU, 국제회의, 남북공유하천 협의"이었다. 물환경관리 기본계획(2016~2025)의 전략과 목표는 "①물순환 체계: 불투수면적률 25% 초과지역, ②깨끗한 물 확보: 상수원 수질달성, ③생태계 서비스 증진: 수생태계 건강성 달성, ④물환경 기반 조성: 산업폐수 유해물질 배출저감, 상수원 4대강 보의 총인 농도와 남조류 세포수, ⑤경제·문화적 가치 창출: 국민체감 만족도"이었다. 국가물관리기본계획에서는 "①물환경: 하천·호소 목표수질 달성률, 수생태계 건강성 B등급 이상 비율, ②물이용: 수돗물 만족률-직·간접 음용률, 노후 상수관로-하수관로 개량, ③물안전: 가뭄피해 인구, 홍수피해 인구-피해액, 댐안전성 강화율, ④물산업: 물관리 R&D 예산, 수량·수질·수생태 통합측정 중권역 비율, 물산업 매출액의 수출액 비중, 한국 주도 국제협력 의제, ⑤거버넌스: 미정"을 계획지표로 하였다. 유역종합계획에서는 4대강별로 거버넌스를 포함하여, "①물환경: 국가계획지표, 주요 상수원 수질, ②물이용: 노후 상하수관로 개량, 지방상수도 유수율, ③물안전: 한해 인구, 수해 인구-피해액, 하천정비율, ④물산업: 물산업 일자리 창출, ⑤거버넌스: 물포럼, 시민참여활동"을 정량지표로 고려하고 있다.

• Journal of Life Science
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• v.33 no.8
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• pp.663-679
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• 2023

This review analyzes research trends related to new drug development using artificial intelligence from 2010 to 2022. This analysis organized the abstracts of 2,421 studies into a corpus, and words with high frequency and high connection centrality were extracted through preprocessing. The analysis revealed a similar word frequency trend between 2010 and 2019 to that between 2020 and 2022. In terms of the research method, many studies using machine learning were conducted from 2010 to 2020, and since 2021, research using deep learning has been increasing. Through these studies, we investigated the trends in research on artificial intelligence utilization by field and the strengths, problems, and challenges of related research. We found that since 2021, the application of artificial intelligence has been expanding, such as research using artificial intelligence for drug rearrangement, using computers to develop anticancer drugs, and applying artificial intelligence to clinical trials. This article briefly presents the prospects of new drug development research using artificial intelligence. If the reliability and safety of bio and medical data are ensured, and the development of the above artificial intelligence technology continues, it is judged that the direction of new drug development using artificial intelligence will proceed to personalized medicine and precision medicine, so we encourage efforts in that field.

• Journal of Korea Water Resources Association
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• v.56 no.6
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• pp.393-402
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• 2023

Drought, which has been increasing in frequency and magnitude due to recent abnormal weather events, poses severe challenges in various sectors. To address this issue, it is important to develop technologies for drought monitoring, forecasting, and response in order to implement effective measures and safeguard the ecological health of aquatic systems during water scarcity caused by drought. This study aimed to predict water quality fluctuations during drought periods by integrating the watershed model HSPF and the water quality model QUAL-MEV. The researchers examined the SPI and RCP 4.5 scenarios, and analyzed water quality changes based on flow rates by simulating them using the HSPF and QUAL-MEV models. The study found a strong correlation between water flow and water quality during the low flow. However, the relationship between precipitation and water quality was deemed insignificant. Moreover, the flow rate and SPI6 exhibited different trends. It was observed that the relationship with the mid- to long-term drought index was not significant when predicting changes in water quality influenced by drought. Therefore, to accurately assess the impact of drought on water quality, it is necessary to employ a short-term drought index and develop an evaluation method that considers fluctuations in flow.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.3
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• pp.337-352
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• 2023

In general, Rainfall-Runoff model parameter set is optimized using the entire data to calculate unique parameter set. However, Korea has a large precipitation deviation according to the season, and it is expected to even worsen due to climate change. Therefore, the need for hydrological data considering seasonal characteristics. In this study, we conducted regional sensitivity analysis(RSA) using the conceptual Rainfall-Runoff model, GR4J aimed at the Soyanggang dam basin, and clustered combining the RSA results with hydrometeorological data using Self-Organizing map(SOM). In order to consider the climate characteristics in parameter estimation, the data was divided based on clustering, and a calibration approach of the Rainfall-Runoff model was developed by comparing the objective functions of the Global Optimization method. The performance of calibration was evaluated by statistical techniques. As a result, it was confirmed that the model performance during the Cold period(November~April) with a relatively low flow rate was improved. This is expected to improve the performance and predictability of the hydrological model for areas that have a large precipitation deviation such as Monsoon climate.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.3
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• pp.357-365
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• 2018

In the 21st century, as the emergence of the age of creative economy is expected, interest in the cultivation of creative talents required in society around the world is newly rising. Sustainable development education should not be limited to school education, but should be promoted and supported at all social education sites for the purpose of lifelong education. Therefore, the purpose of this paper is to consider the relationship between the possibility of formal and informal learning and the development of capacity in higher education. Exploratory and qualitative research based on intensive groups was designed using several groups of formal and informal learning settings. In China, the creation of a creative economy is set as a major national policy direction for the new government. What is required for talented people in the creative economy era and how to educate them is becoming a major policy issue. The development of core competencies requires multiple contexts based on cognitive non-cognitive disposition. By combining the formal and informal learning environment within higher education for the purpose of a new learning culture, it can provide a variety of situations and improve competency development. While this study can identify aspects of formal and informal learning settings, the interdependencies between them are still difficult to grasp. However, practical implications can be seen clearly. In other words, based on the results, you can point out key aspects of competency acquisition that can be a key element in the higher education environment. As a result, this study analyzed implications for formal and informal learning environments for new ways of developing core competencies in higher education.

• Journal of Korea Water Resources Association
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• v.56 no.5
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• pp.325-336
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• 2023

In August 2022, even though flood damage occurred in the metropolitan area due to heavy rain, drought warnings were issued in Jeolla province, which indicates that the regional drought is intensified recent years. To cope with regarding intensified regional droughts, many studies have been conducted to identify spatial patterns of the occurrence of meteorological drought, however, case studies of spatial clustering for water shortage are not sufficient. In this study, using the estimations of water shortage in the Han River Basin in 2030 of the Master Plans for National Water Management, the spatial characteristics of water shortage were analyzed to identify the hotspot areas based on the Local Moran's I and Getis-Ord Gi^*, which are representative indicators of spatial clustering analysis. The spatial characteristics of water shortage areas were verified based on the p-value and the Moran scatter plot. The overall results of for three anayisis periods (S0(1967-1983), S1(1984-2000), S2(2001-2018)) indicated that the lower Imjin River (#1023) was the hotspot for water shortage, and there are moving patterns of water shortage from the east of lower Imjin River (#1023) to the west during S2 compared to S0 and S1. In addition, the Yangyang-namdaecheon (#1301) was the HL area that is adjacent to a high water shortage area and a low water shortage area, and had water shortage pattern in S2 compared to S0 and S1.