• Title/Summary/Keyword: interest development

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Geological analysis of the CarbonNet CCS project in the Gippsland Basin, Australia (호주 깁스랜드 분지 CarbonNet CCS 프로젝트의 지질학적 분석)

  • Hyun-Wook Jo;Ju-Won Oh;Young-Ju Lee;Ah-Reum Han;Jae-Young Lee
    • Geophysics and Geophysical Exploration
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    • v.26 no.4
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    • pp.157-170
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    • 2023
  • In South Korea, carbon capture and storage (CCS) techniques have attracted considerable attention as part of efforts to achieve the 2030 Korean Nationally Determined Contribution. However, owing to delays in large-scale CCS projects in South Korea, interest in cross-border CCS projects, wherein CO2 captured in South Korea is stored in overseas CCS facilities, has increased. In this study, we investigated the development status of the CarbonNet project in the Gippsland Basin, Australia. First, we provide a brief overview of sedimentary basins and CCS projects in Australia. Subsequently, we review the geological history of the Gippsland Basin, the site of the large-scale CCS project. Finally, we summarize the site selection process for the CarbonNet project and discuss the suitability of the Pelican site for large-scale CCS projects.

Improvement and Educational Effectiveness of Fashion Consumption Trend Analysis Class Based on IC-PBL (IC-PBL 기반의 패션 소비트렌드 분석 수업 개선 및 교육적 효과)

  • Jaekyong Lee
    • Journal of Fashion Business
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    • v.27 no.5
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    • pp.121-134
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    • 2023
  • With the development of information and communication technology, interest in new educational approaches that can enhance the learning performance of learners with improved information literacy skills is increasing, and universities are actively promoting educational innovation to foster the talents required by society. In the field of fashion studies education, which is closely related to the fashion industry, there is a strong need to develop field-linked educational programs that reflect the trends in the industry and changes in the educational system. The purpose of this study was to introduce industry-coupled problem-based learning (IC-PBL) to the course "Understanding Fashion Consumption Trends" for non-fashion majors to reflect the current needs and strengthen the educational effectiveness of the learners through a survey. A seven-step curriculum (introduction to the class, practitioner's problem, learner's problem analysis, organizing concepts related to variables, information collection and scenario writing, presentation and scenario proposal, and evaluation) not only enhanced learners' understanding of fashion consumption trends and the fashion industry but also greatly amplified learners' satisfaction with the class. The results of the survey showed that the seven-step curriculum was effective in increasing learners' self-directed learning ability, problem-solving ability, and confidence in learning. Self-directed learning ability was stronger than other factors, consistent with the core principle of problem-based learning to empower learners to take the initiative and promote self-directed learning. Each factor analyzed was positively correlated.

Genome-wide association studies to identify quantitative trait loci and positional candidate genes affecting meat quality-related traits in pigs

  • Jae-Bong Lee;Ji-Hoon Lim;Hee-Bok Park
    • Journal of Animal Science and Technology
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    • v.65 no.6
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    • pp.1194-1204
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    • 2023
  • Meat quality comprises a set of key traits such as pH, meat color, water-holding capacity, tenderness and marbling. These traits are complex because they are affected by multiple genetic and environmental factors. The aim of this study was to investigate the molecular genetic basis underlying nine meat quality-related traits in a Yorkshire pig population using a genome-wide association study (GWAS) and subsequent biological pathway analysis. In total, 45,926 single nucleotide polymorphism (SNP) markers from 543 pigs were selected for the GWAS after quality control. Data were analyzed using a genome-wide efficient mixed model association (GEMMA) method. This linear mixed model-based approach identified two quantitative trait loci (QTLs) for meat color (b*) on chromosome 2 (SSC2) and one QTL for shear force on chromosome 8 (SSC8). These QTLs acted additively on the two phenotypes and explained 3.92%-4.57% of the phenotypic variance of the traits of interest. The genes encoding HAUS8 on SSC2 and an lncRNA on SSC8 were identified as positional candidate genes for these QTLs. The results of the biological pathway analysis revealed that positional candidate genes for meat color (b*) were enriched in pathways related to muscle development, muscle growth, intramuscular adipocyte differentiation, and lipid accumulation in muscle, whereas positional candidate genes for shear force were overrepresented in pathways related to cell growth, cell differentiation, and fatty acids synthesis. Further verification of these identified SNPs and genes in other independent populations could provide valuable information for understanding the variations in pork quality-related traits.

Case Study on Amorepacific : Focusing on Analysis of Competitive Advantage through Diamond Model (아모레퍼시픽에 대한 사례연구: 다이아몬드 모델을 통한 경쟁우위 분석을 중심으로)

  • Shin, You-jin;Park, Sang-hyeon
    • Journal of Venture Innovation
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    • v.4 no.2
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    • pp.43-55
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    • 2021
  • Based on the modifier 'K', the Republic of Korea has been drawing attention from around the world in various fields. Therefore, if you look at a representative field, it can be called the beauty, that is, the cosmetics industry. In particular, paying attention to the fact that interest in appearance has been increasing in recent years, regardless of age or gender, we intend to explore ways to create competitiveness in the industry. In particular, from this perspective, we tried to deal with the company case of AMOREPACIFIC, one of Korea's leading cosmetic companies, and seek the direction of development through analysis of corporate competitiveness. Therefore, as an analysis method for this study, we tried to subdivide and examine the factors that have been possible for a company to succeed using the diamond model of Michael Porter. Based on the factors derived after that, we intend to present the direction for the company to discharge in the future.

A Study on Port Efficiency in the Russian Arctic as a Key Factor for Trade Growth in the Northern Sea Route (북극항로 무역 성장을 위한 러시아 북극의 항만 효율화에 관한 연구)

  • Ilana Zakharova;Hyang-Sook Lee
    • Korea Trade Review
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    • v.48 no.4
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    • pp.121-148
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    • 2023
  • The rapid melting of Arctic sea ice has increased interest in the Northern Sea Route (NSR) as a viable alternative trade route between Europe and Asia. While extensive research has examined its competitiveness in terms of technical feasibility, safety, profitability, and environmental impact, the topic of the NSR ports remains relatively underrepresented in the literature. Hence, this study aims to contribute to the existing research by assessing the efficiency of 17 NSR ports to gain insights into their operations and identify areas for improvement using models of Data Envelopment Analysis(DEA). The obtained results show that efficient ports mainly belong to the western NSR region, with ports like Murmansk and Varandei consistently demonstrating high efficiency and constant returns to scale. Several ports, such as Onega, Arkhangelsk, Naryan-Mar, and Khatanga, showed inefficiencies in the utilization of berths and quay lengths. The findings not only contribute to academic knowledge but also offer practical implications for NSR port authorities, assisting them in making well-informed decisions regarding infrastructure development plans.

Images of the Landscape and Society of Haeju during the late Joseon Dynasty (조선 후기 해주의 경관과 세태 이미지)

  • Park, Jeong-Ae
    • Journal of architectural history
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    • v.32 no.5
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    • pp.81-94
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    • 2023
  • Haeju was home to the Hwanghae-do Provincial Office and a hub for supporting the northwestern regions of Korea. Local commerce expanded in Haeju during the late Joseon period based on its abundant resources and regional products, leading it to evolve into a large city. King Seonjo temporarily resided in Haeju while seeking refuge from the Japanese Invasions of Korea, and Yi Yi (sobriquet: Yulgok) secluded himself in Seokdam in Haeju in his later years. King Seonjo's residence in Haeju and Yi Yi's retirement there boosted interest in the city among the literati and influenced its places of scenic beauty. The development of its local history and literary achievements were documented in a wide variety of historical records and visual materials. Eight scenic views in Haeju became famous through a poem written by Seong Su-ik in the late sixteenth century. Around the mid-eighteenth century, eight new scenic views became popular. Local officials and travelers from other regions produced a vast body of prose and poetry focusing on the landscape and society of Haeju, playing a crucial role in raising awareness of its scenic attractions. Most surviving visual materials related to Haeju were created in and after the nineteenth century. Many of them illustrate both landscapes and the everyday lives of people. Among them, paintings of scenic spots created by Jeong Seon (sobriquet: Gyeomjae), who never actually visited Haeju in person, raises some of the issues posed by relying on indirect materials. In contrast, Eight Scenic Views of Haeju, which is presumed to have been produced by a local painter, appears to have accurately highlighted the characteristics of each scenic spot. Moreover, Haejudo, a folding screen presenting a panoramic view of Haeju, incorporates content from paintings depicting eight scenic views, in this case Eight Scenic views of Haeju. This practice can be observed in visual materials of other provincial cities.

Analysis of Changes in Cognitive, Affect and Social Aspects of Elementary School Students through Mathematical Modeling Activities (수학적 모델링 활동에 대한 인지적, 정의적 및 사회적 측면의 분석)

  • Kang, Yunji
    • Education of Primary School Mathematics
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    • v.26 no.4
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    • pp.317-332
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    • 2023
  • Mathematical modeling activities hold the potential for diverse applications, involving the transformation of real-life situations into mathematical models to facilitate problem-solving. In order to assess the cognitive, affective, and social dimensions of students' engagement in mathematical modeling activities, this study conducted sessions with ten groups of fifth-grade elementary school students. The ensuing processes and outcomes were thoroughly analyzed. As a result, each group effectively applied mathematical concepts and principles in creating mathematical models and gathering essential information to address real-world tasks. This led to notable shifts in interest, enhanced mathematical proficiency, and altered attitudes towards mathematics, all while promoting increased collaboration and communication among group members. Based on these analytical findings, the study offers valuable pedagogical insights and practical guidance for effectively implementing mathematical modeling activities.

A Study on the Success Factors and Development Directions of Co-regulation in the Personal Information Protection Area (개인정보 보호 분야 공동규제의 성공요인과 발전방향에 관한 연구)

  • Young Jin Choi
    • Journal of Information Technology Services
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    • v.22 no.5
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    • pp.51-70
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    • 2023
  • The Personal Information Protection Commission has been promoting the adoption of co-regulation to replace/improve the existing self-regulation programs since 2022. While the Commission's co-regulation framework has received positive feedback for its contribution to address the regulatory issues, it has also faced criticism for being seen as "co-regulation in appearance only without any real differentiation from existing self-regulation." This study aims to examine the case of industry-specific co-regulation proposed by the Personal Information Protection Commission, with the objectives of 1) determining whether their approach can be categorized as a type of co-regulation with differentiation from the existing self-regulation programs, and 2) proposing improvements for successful regulation. The 'co-regulation' of the Commission can be classified as a form of co-regulation that differs with traditional self-regulation, as it involves government and private organizations collaborating to establish self regulatory codes reflecting industry-specific characteristics as well as provides interest groups with incentives to comply with the codes. The co-regulation framework is evaluated to some extent as successful, but there is still room for improvement in three major aspects. (1) When selecting the areas for co-regulation, a focus should be placed on areas where technological changes are rapid, and government regulations should be applied in areas where they are not. (2) It is necessary to enhance the expertise of regulatory agencies, and (3) ensuring the democratic nature of regulation, such as encouraging the participation of civil organizations, is necessary.

Design of lattice structure for controlling elastic modulus in metal additive manufacturing (금속 적층제조에서의 격자구조 설계변수에 따른 탄성계수 분석)

  • In Yong Moon;Yeonghwan Song
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.33 no.6
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    • pp.276-281
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    • 2023
  • With the high design freedom of the additive manufacturing process, there is a growing interest in multi-dimensional lattice structures among researchers, who are studying intricate structural modeling that is challenging to produce using conventional manufacturing processes. In the case of titanium alloy implants for human insertion, a multi-dimensional lattice structure is employed to ensure compatibility with bones, adjusting strength and elastic modulus to levels similar to those of bones. Therefore, securing a database on the mechanical properties based on lattice structure design variables and the development of related simulation techniques are believed to efficiently facilitate the customization of implants. In this study, lattice structures were additively manufactured using Ti-6Al-4V alloy, and the elastic modulus was measured based on design parameters. The results were compared with simulations, and an approach to finite element analysis for accurate prediction of the elastic modulus was proposed.

Efficient Semi-automatic Annotation System based on Deep Learning

  • Hyunseok Lee;Hwa Hui Shin;Soohoon Maeng;Dae Gwan Kim;Hyojeong Moon
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.6
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    • pp.267-275
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    • 2023
  • This paper presents the development of specialized software for annotating volume-of-interest on 18F-FDG PET/CT images with the goal of facilitating the studies and diagnosis of head and neck cancer (HNC). To achieve an efficient annotation process, we employed the SE-Norm-Residual Layer-based U-Net model. This model exhibited outstanding proficiency to segment cancerous regions within 18F-FDG PET/CT scans of HNC cases. Manual annotation function was also integrated, allowing researchers and clinicians to validate and refine annotations based on dataset characteristics. Workspace has a display with fusion of both PET and CT images, providing enhance user convenience through simultaneous visualization. The performance of deeplearning model was validated using a Hecktor 2021 dataset, and subsequently developed semi-automatic annotation functionalities. We began by performing image preprocessing including resampling, normalization, and co-registration, followed by an evaluation of the deep learning model performance. This model was integrated into the software, serving as an initial automatic segmentation step. Users can manually refine pre-segmented regions to correct false positives and false negatives. Annotation images are subsequently saved along with their corresponding 18F-FDG PET/CT fusion images, enabling their application across various domains. In this study, we developed a semi-automatic annotation software designed for efficiently generating annotated lesion images, with applications in HNC research and diagnosis. The findings indicated that this software surpasses conventional tools, particularly in the context of HNC-specific annotation with 18F-FDG PET/CT data. Consequently, developed software offers a robust solution for producing annotated datasets, driving advances in the studies and diagnosis of HNC.