• Asia-Pacific Journal of Business
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• v.11 no.1
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• pp.45-60
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• 2020

Recently, ESG bond issuance has been gradually spreading to banks and non-financial private companies in Korea. However, the Korean ESG bond market is still in its infancy in terms of size, diversity and investor base compared to the global ESG bond market. In other words, ESG bonds are rapidly forming in the global market, but are still in the formation stage in the domestic market, and various policy and practical measures such as system, incentives, and infrastructure are needed to activate them. In this paper, we examine the domestic and international status of ESG bonds in relation to responsible investment. In addition, this paper explores specific measures to revitalize the domestic ESG bond market in four aspects: establishing ESG bond standards, procedures and regulations, increasing ESG bond investment demand, increasing ESG bond issuance, building market infrastructure and market efforts. This study is expected to contribute to the development of the domestic ESG bond market and responsible investment.

• Soft Computing and Machine Intelligence
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• v.1 no.1
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• pp.11-23
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• 2021

House price prediction is a significant financial decision for individuals working in the housing market as well as for potential buyers. From investment to buying a house for residence, a person investing in the housing market is interested in the potential gain. This paper presents machine learning algorithms to develop intelligent regressions models for House price prediction. The proposed research methodology consists of four stages, namely Data Collection, Pre Processing the data collected and transforming it to the best format, developing intelligent models using machine learning algorithms, training, testing, and validating the model on house prices of the housing market in the Capital, Islamabad. The data used for model validation and testing is the asking price from online property stores, which provide a reasonable estimate of the city housing market. The prediction model can significantly assist in the prediction of future housing prices in Pakistan. The regression results are encouraging and give promising directions for future prediction work on the collected dataset.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.35 no.5
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• pp.419-430
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• 2022

Defects in solids play a vital role on thermoelectric properties through the direct impacts of electronic band structure and electron/phonon transports, which can improve the electronic and thermal properties of a given thermoelectric semiconductor. Defects in semiconductors can be divided into four different types depending on their geometric dimensions, and thus understanding the effects on thermoelectric properties of each type is of a vital importance. This paper reviews the recent advances in the various thermoelectric semiconductors through defect engineering focusing on the charge carrier and phonon behaviors. First, we clarify and summarize each type of defects in thermoelectric semiconductors. Then, we review the recent achievements in thermoelectric properties by applying defect engineering when introducing defects into semiconductor lattices. This paper ends with a brief discussion on the challenges and future directions of defect engineering in the thermoelectric field.

• Journal of architectural history
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• v.32 no.3
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• pp.39-51
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• 2023

This study aims to develop a cultural heritage curriculum for climate change and present educational directions for cultural heritage and climate change impact in the future. In this study, the role and necessity of cultural heritage education for climate change were first discussed based on previous studies on climate change and cultural heritage. Next, the current status analysis of educational cases related to climate change and cultural heritage was conducted based on educational manuals, curriculum, and heritage competency systems associated with climate change. Finally, we propose a plan to develop a curriculum to cope with climate change and cultural heritage for graduate students in higher education institutions based on the four components of developing a curriculum. In future studies, we intend to propose guidelines for designing educational manuals and specific curricula for each educational target to cope with the climate change of cultural heritage presented in this study.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.67.3-68
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• 2020

A prime focus telescope, e.g., Schmidt telescope, has advantages especially for a wide field of view survey in astronomy. In this optical configuration, the camera is placed in front of the primary mirror. Since the installation of a typical filter wheel to the prime focus telescope causes serious obscuration of the incoming light, a customized filter device is required for high sensitivity images. In this poster, we present a new filter exchange mechanism, which can host four filters moving along quadrant directions. We plan to install this on the Celestron 36 cm Rowe-Ackermann Schmidt Astrograph (RASA 36) located at El Sause Observatory in Chile.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.886-887
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• 2023

This paper is about the development of kiosks that provide four types of service. Simple UI and educational videos solve the complexity of existing kiosks and provide an intuitive and convenient screen to users. In addition, the AR function, which is a three-dimensional form, shows directions and store representative images. After storing user information in the DB, a learning model is generated using user-based KNN collaborative filtering to provide a recommendation menu. As a result, it is possible to increase user convenience through kiosks using metaverse and AI recommendation services. It is also expected to solve digital alienation of social classes who have difficulty using kiosks.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.5
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• pp.225-231
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• 2023

With the recent surge in the autonomous driving market, the significance of lane detection technology has escalated. Lane detection plays a pivotal role in autonomous driving systems by identifying lanes to ensure safe vehicle operation. Traditional lane detection models rely on engineers manually extracting lane features from predefined environments. However, real-world road conditions present diverse challenges, hampering the engineers' ability to extract adaptable lane features, resulting in limited performance. Consequently, recent research has focused on developing deep learning based lane detection models to extract lane features directly from data. In this paper, we classify lane detection models into four categories: cluster-based, curve-based, information propagation-based, and anchor-based methods. We conduct an extensive analysis of the strengths and weaknesses of each approach, evaluate the model's performance on an embedded board, and assess their practicality and effectiveness. Based on our findings, we propose future research directions and potential enhancements.

• The Research Journal of the Costume Culture
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• v.28 no.6
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• pp.787-800
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• 2020

This study aims to derive the criteria of folding techniques and their characteristics through analysis of literature and previous studies. This will be realized by performing a case study on male fashion design and folding. It will propose diverse directions and data for male fashion design, by making men's jackets using a folding technique. The concept and terms of folding were clarified through examination of existing literature and previous studies. Specifically, four pieces were created with motifs of the four seasons. Among the types of pleats expressed in the works, composition pleats include double ruffles, gathers, and draperies, while processed ones include box pleats, knife pleats, and accordion pleats. This study expresses continuity, fluidity, scalability, and ambiguity through the use of such pleats. The results of the production are as follows. First, in terms of the continuous use of regular and repetitive pleats, a possibility of rich pleats was confirmed because they varied depending on the gap between the pleat and target material. Second, in liquid but irregular pleats, diverse moods were created by the pleat movement. The overlapping of repeated pleats expresses diverse spaces and shapes in a 3D extended silhouette. Third, in pleat classification, ambiguity was confirmed with the use of continuous accordion pleats in the printed gradation fabric. It is anticipated that more diverse and creative designs could be created using more extended techniques in future studies.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.93-98
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• 2022

This research emphasized that the importance of green marketing activities elements such as green product, green price, green place, and green promotion. Moreover, it focused on verifying the effects of these four elements on purchase intention through environmental involvement. To verify this, an empirical analysis was conducted on Chinese consumers who have experienced or are considering purchasing a new energy vehicle. The research results are as follows. First, all four elements of green marketing activities improve environmental involvement. Second, environmental involvement was found to increase the level of purchase intention. Third, environmental involvement has a partial mediating effects in the relationship between the four elements of green marketing activities and purchase intention. Finally, the limitations of this study and future research directions were discussed.

• Human Ecology Research
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• v.62 no.2
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• pp.351-368
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• 2024

The objectives of this study were to develop, implement a home economics education teaching-learning plan and assess its effects to enhance global citizenship competencies among upper elementary school students. The ADDIE model was employed for learner needs analysis, instructional design, development and implementation. This was followed by assessments of global citizenship competencies and class satisfaction. Based on an analysis of the core ideas associated with an area of "Living Environment and Sustainable Choice," four practical problems were designed: What actions should I take for the rational management of living resources? What actions should I take to ensure consciousness of the need to respect diversity in daily life? What actions should I take to maintain a safe and healthy living environment? What actions should I take to make sustainable choices? Based on these four practical problems, four lesson topics were developed in accordance with both the voyeur's and the critical perspectives, resulting in a total of 8 sessions. The subsequent delivery of an 8-session class on global citizenship education in home economics yielded significant improvements in the global citizenship competencies (knowledge, skills, attitudes, and willingness to act) of 37 elementary school students immediately after the sessions. The significance of this study lies in its focus on the core ideas of the revised 2022 curriculum, thereby offering directions for the development of global citizenship education within the curriculum.