• Title/Summary/Keyword: Global Address

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Analysis of the Legal Blind Sectors of the Large-Scale Offshore Wind Farms of Korea and Proposal to Improve Safety Management (대규모 해상풍력발전단지의 안전관리를 위한 법적 사각지대 분석 및 개선 제안)

  • Inchul Kim;Dong Nam
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.2
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    • pp.127-138
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    • 2023
  • A variety of decarbonized energy sources are being developed globally to realize carbon neutrality (Net Zero) by 2050 as a measure to address the global climate crisis. As the Korean government has also established a Renewable Energy 3020 policy and promoted energy development plans using solar or wind power, large-scale offshore development projects not present before in coastal waters, such as offshore wind farms, are being promoted. From ships' point of view, offshore facilities present obstacles to safe navigation, and with the installation of marine facilities, ship collisions or contact accidents between ships and marine facilities may occur in the narrowed water areas. In addition, there are concerns about environmental pollution and human casualties caused by marine accidents. Accordingly, we review overseas and domestic offshore wind farm development plans, analyze whether institutional devices are in place to ensure the safe passage of ships in wind farm areas, and study the safe operation of large-scale offshore wind farms and safe passage of ships along the Korean coast by comparing overseas legislative cases with domestic laws and presenting a proposal to illuminate the legal blind sectors.

A Study on the Legal Issues on the Payment of Renewable Energy Subsidies (신재생에너지 보조금 지급에 관한 법적쟁점 고찰)

  • Park, Ji-Eun;Lee, Yang-Kee
    • Korea Trade Review
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    • v.43 no.4
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    • pp.111-130
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    • 2018
  • In December 2015, the Paris Agreement was adopted to cope with global warming caused by greenhouse gas emission and to prevent the average temperature of the Earth from rising. Renewable energy sources have become important to address environmental problems such as rising sea levels, depletion of forests and fine dust. In order to grow renewable energy, government support is needed. However, excessive government support for the renewable energy industry could pose problems that include undermining fair competition and raising costs. The WTO already has heard cases involving renewable energy subsidies. This article focuses on subsidies and countervailing tariffs as well as examines WTO disputes related to renewable subsidies, and also analyze legal issues that are problematic in granting subsidies for the development of new renewable energy industries. In WTO dispute involving renewable energy subsidies, legal issues are SCM Agreement article 2 Specificity, article 3 (b) import substitution subsidy and GATT article 20. This paper proposes improvement measures such as the reintroduction of article 8 Non-Actionable Subsidies or special provisions on energy subsidy. In addition, it is necessary to clarify the interpretation of Article 3 of the subsidy agreement. However, excessive government subsidies can lead to trade friction, so the WTO rules should be improved in line with the WTO goals of environmental protection, equity in free trade, and sustainable development.

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Technology Standards Policy Support Plans for the Advancement of Smart Manufacturing: Focusing on Experts AHP and IPA (스마트제조 고도화를 위한 기술표준 정책영역 발굴 및 우선순위 도출: 전문가 AHP와 IPA를 중심으로)

  • Kim, Jaeyoung;Jung, Dooyup;Jin, Young-Hyun;Kang, Byung-Goo
    • Informatization Policy
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    • v.30 no.4
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    • pp.40-61
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    • 2023
  • The adoption of smart factories and smart manufacturing as strategies to enhance competitiveness and stimulate growth in the manufacturing sector is vital for a country's future competitiveness and industrial transformation. The government has consistently pursued smart manufacturing innovation policies starting with the Manufacturing Innovation 3.0 strategy in the Ministry of Industry. This study aims to identify policy areas for smart factories and smart manufacturing based on technical standards. Analyzing policy areas at the current stage where the establishment and support of domestic standards aligning with international technical standards are required is crucial. By prioritizing smart manufacturing process areas within the industry, policymakers can make well-informed decisions to advance smart manufacturing without blindly following international standardization in already well-established areas. To achieve this, the study utilizes a hierarchical analysis method including expert interviews and importance-performance analysis for the five major process areas. The findings underscore the importance of proactive participation in standardization for emerging technologies, such as data and security, instead of solely focusing on areas with extensive international standardization. Additionally, policymakers need to consider carbon emissions, energy costs, and global environmental challenges to address international trends in export and digital trade effectively.

A Study on Implementation of Indoor Positioning Simulator through Indoor Positioning API Development (실내측위 API개발을 통한 실내측위 시뮬레이터 구현에 관한 연구)

  • Shin, Chang Soo;Kim, Sung Su
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.6
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    • pp.873-881
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    • 2023
  • The evolution of civil engineering technology, exemplified by recent milestones like the completion of the Gangnam Global Business Center (GBC), has fostered the construction of expansive civil and architectural structures both above and below the earth's surface. This surge in construction necessitates a commensurate advancement in research and technology pertaining to safety protocols applicable to these vast edifices. Such protocols encompass a spectrum of concerns, ranging from the preemptive mitigation of accidents to the effective management of exigencies such as fires. As the trajectory of construction endeavors continues unabated, encompassing both subterranean and elevated domains, a concomitant imperative emerges to refine the methodologies underpinning precise indoor positioning. To address this need, an innovative web-based simulator has been devised to emulate indoor positioning scenarios for rigorous testing. This research further entails the development of an indoor positioning data Application Programming Interface (API) fortified by Geographic Information System (GIS) spatial operation techniques. This API is anchored in the construction of intricate test data, centered on the spatial layout of building 13 at the Electronics and Telecommunications Research Institute (ETRI). Consequently, the study renders feasible the expeditious provisioning of diverse signal-based and image-based spatial information, pivotal for enhancing the navigational acumen of mobile devices. Path delineation, cellular signal mapping, landmark identification, and ancillary navigational aids are among the manifold datasets promptly furnished by the indoor positioning data API. In summation, this study engenders a crucial leap towards the fortification of safety protocols and navigational precision within the expansive confines of modern architectural wonders.

Hospital Avoidance and Associated Factors During the COVID-19 Pandemic (COVID-19 대유행 동안의 병원 회피 현상 및 연관 요인)

  • Jong-Wook Jeon;Se Joo Kim;Su-Young Lee;Jhin Goo Chang;Chan-Hyung Kim
    • Anxiety and mood
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    • v.19 no.2
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    • pp.77-82
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    • 2023
  • Objective : During the coronavirus disease 2019 (COVID-19) pandemic, hospital avoidance had a significant impact on public health. We investigated the factors associated with hospital avoidance and explored practical strategies hospitals could employ to address this phenomenon. Methods : We conducted a patient experience survey in a general hospital in Korea during the COVID-19 pandemic. Between July 6, 2020, and July 20, 2020, a total of 842 patients who had previously visited hospitals before the COVID-19 outbreak participated. Self-reported hospital avoidance, factors associated with hospital avoidance, and satisfaction with the hospital's infection control policies were the main outcomes. Binary logistic regression analysis was used to identify associated factors. Results : Data indicated that 29.9% (n=252) of the respondents avoided visiting the hospital after the COVID-19 outbreak. Satisfaction with the hospital infection control policy (odds ratio [OR]=2.297, p<0.001), female sex (OR=1.619, p<0.05), and higher educational level (OR=1.884, p<0.001) were associated with hospital avoidance. The "entrance body temperature check" was the most satisfactory policy among the hospital's infection control policies. Conclusion : To manage hospital avoidance during an infectious disease crisis, targeted policies for at-risk groups and hospital policies to reassure and satisfy patients are needed.

Evolution of Healthcare Service Disparities: A Case Study of Primary Care Services in Korea, 1995-2021 (보건의료 서비스의 공간적 불균등 분포 변이에 대한 연구: 1995년부터 2021년까지 초기진료기관을 대상으로)

  • Hyun Kim;Yena Song
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.3
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    • pp.289-309
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    • 2023
  • While South Korea's universal healthcare system has garnered attention in public health, the issue of inequality in healthcare service provision among different age groups has incessantly become a significant concern. The focus of this concern is primarily on essential healthcare services, encompassing fundamental aspects of healthcare such as internal medicine, family medicine, and pediatric and adolescent care. This inequality is not limited to differences among age groups (both junior and senior demographics) but also extends to potential disparities in healthcare services based on geographic location, particularly in urban and rural contexts. This paper aims to investigate disparities in primary healthcare service resources in South Korea's evolving economic landscape between 1995 and 2021. We utilize a set of inequality indices with a spatial perspective through geographic cluster analysis. The findings reveal that concerns about inequality have been amplified during various economic events, including the IMF crisis in 1999, the global financial crisis in 2008, and the COVID-19 pandemic in 2020. These years are identified as significant phases that have contributed to manifesting spatial disparities in primary healthcare provisions, with a particular emphasis on the senior-aged population rather than junior or all population groups. Our findings underscore the pressing need to address the unequal distribution of essential healthcare resources as part of preparedness for potential economic impacts, requiring a comprehensive consideration of the interconnected nature of demographic and spatial dimensions in healthcare services.

A Study on Applying the Nonlinear Regression Schemes to the Low-GloSea6 Weather Prediction Model (Low-GloSea6 기상 예측 모델 기반의 비선형 회귀 기법 적용 연구)

  • Hye-Sung Park;Ye-Rin Cho;Dae-Yeong Shin;Eun-Ok Yun;Sung-Wook Chung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.489-498
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    • 2023
  • Advancements in hardware performance and computing technology have facilitated the progress of climate prediction models to address climate change. The Korea Meteorological Administration employs the GloSea6 model with supercomputer technology for operational use. Various universities and research institutions utilize the Low-GloSea6 model, a low-resolution coupled model, on small to medium-scale servers for weather research. This paper presents an analysis using Intel VTune Profiler on Low-GloSea6 to facilitate smooth weather research on small to medium-scale servers. The tri_sor_dp_dp function of the atmospheric model, taking 1125.987 seconds of CPU time, is identified as a hotspot. Nonlinear regression models, a machine learning technique, are applied and compared to existing functions conducting numerical operations. The K-Nearest Neighbors regression model exhibits superior performance with MAE of 1.3637e-08 and SMAPE of 123.2707%. Additionally, the Light Gradient Boosting Machine regression model demonstrates the best performance with an RMSE of 2.8453e-08. Therefore, it is confirmed that applying a nonlinear regression model to the tri_sor_dp_dp function during the execution of Low-GloSea6 could be a viable alternative.

Investigating the Restructuring of Artificial Intelligence Curriculum in Specialized High Schools Following AI Department Reorganization (특성화고 인공지능학과 개편에 따른 인공지능 교육과정 개편 방안 연구)

  • EunHee Goo
    • Journal of Practical Engineering Education
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    • v.16 no.1_spc
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    • pp.41-49
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    • 2024
  • The advancement of artificial intelligence on a global scale is significantly transforming life. In the field of education, there is a strong emphasis on actively utilizing AI and fostering creatively integrated talents with diverse knowledge. In alignment with this trend, there is a paradigm shift in AI education across primary, middle, high school, as well as university and graduate education. Leading AI schools and specialized high schools are dedicated to enhancing students' AI capabilities, while universities integrate AI into software courses or establish new AI departments to nurture talent. In AI-integrated education graduate programs, national efforts are underway to educate instructors from various disciplines on applying AI technology to the curriculum. In this context, specialized high schools are also restructuring their departments to cultivate technological talent in AI, tailored to students' characteristics and career paths. While the current education focuses primarily on the fundamental concepts and technologies of AI, there is a need to address the aspect of developing practical problem-solving skills. Therefore, this research aims to compare and analyze essential educational courses in AI-leading schools, AI-integrated high schools, AI high schools, university AI departments, and AI-integrated education graduate programs. The goal is to propose the necessary educational courses for AI education in specialized high schools, with the expectation that a more advanced curriculum in AI education can be established in specialized high schools through this effort.

Development and Assessment of LSTM Model for Correcting Underestimation of Water Temperature in Korean Marine Heatwave Prediction System (한반도 고수온 예측 시스템의 수온 과소모의 보정을 위한 LSTM 모델 구축 및 예측성 평가)

  • NA KYOUNG IM;HYUNKEUN JIN;GYUNDO PAK;YOUNG-GYU PARK;KYEONG OK KIM;YONGHAN CHOI;YOUNG HO KIM
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.29 no.2
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    • pp.101-115
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    • 2024
  • The ocean heatwave is emerging as a major issue due to global warming, posing a direct threat to marine ecosystems and humanity through decreased food resources and reduced carbon absorption capacity of the oceans. Consequently, the prediction of ocean heatwaves in the vicinity of the Korean Peninsula is becoming increasingly important for marine environmental monitoring and management. In this study, an LSTM model was developed to improve the underestimated prediction of ocean heatwaves caused by the coarse vertical grid system of the Korean Peninsula Ocean Prediction System. Based on the results of ocean heatwave predictions for the Korean Peninsula conducted in 2023, as well as those generated by the LSTM model, the performance of heatwave predictions in the East Sea, Yellow Sea, and South Sea areas surrounding the Korean Peninsula was evaluated. The LSTM model developed in this study significantly improved the prediction performance of sea surface temperatures during periods of temperature increase in all three regions. However, its effectiveness in improving prediction performance during periods of temperature decrease or before temperature rise initiation was limited. This demonstrates the potential of the LSTM model to address the underestimated prediction of ocean heatwaves caused by the coarse vertical grid system during periods of enhanced stratification. It is anticipated that the utility of data-driven artificial intelligence models will expand in the future to improve the prediction performance of dynamical models or even replace them.

Development of HTE-STEAM Constellation Education Program Using Astronomical Teaching Aid: Focused on Cultivating Core Competencies for Future Society through the Concept of Space and Time (천문 교구를 활용한 HTE-STEAM 별자리 교육 프로그램 개발 연구 : 시공간 개념을 통한 미래 사회 핵심역량 함양을 중심으로)

  • Ahra Cho;Yonggi Kim
    • Journal of the Korean Society of Earth Science Education
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    • v.17 no.1
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    • pp.34-48
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    • 2024
  • With the global rise in interest in competency-based education, the Ministry of Education of the Republic of Korea outlined six core competencies in the 2015 revised curriculum, essential for future society's 'creative and convergent talent'. This study introduces an HTE-STEAM constellation education program designed to develop the core competencies outlined in the 2015 revised curriculum and address the limitations of hands-on astronomy education. The program's effectiveness was assessed through a pilot test. The program was implemented at G Library, an out-of-school education site in Cheongju-si, Chungcheongbuk-do, targeting students from 3rd to 6th grade. The study's results include: First, the HTE-STEAM program significantly impacted all aspects of the STEAM attitude test except for 'self-concept', particularly influencing 'science and engineering career choice', 'consideration', and 'communication'. Thus, it has led to positive outcomes in the cultivation of future society's core competencies, including 'creative thinking skills', 'communication skills', and 'community skills'. Secondly, the HTE-STEAM constellation education program, despite covering the challenging concept of spacetime, was deemed easy by many students. Observations of students applying the spatial concepts they learned by using teaching aids suggest that the program was effective in enhancing students' understanding of the spatial structure of the sky and the universe. Additionally, this program aligns with the 2022 curriculum's updated standards for understanding the sky's spatial structure. Consequently, the HTE-STEAM constellation education program positively cultivates future society's core competencies and serves as a valuable complement to night observation practices in schools.