• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.9
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• pp.131-142
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• 2019

The purpose of this study was to find out the characteristics of housing policies and apartment designs by comparison of supplying and remodeling apartments between France and Korea. The literature review was used in Korea cases and the literature review, site investigation, and expert interviews were used in France cases. At first, by reviewing the related literatures about the apartment developments and regenerations in France and Korea, twelve remodeling cases were represented respectively in Ile de France and Seoul. As a result, in housing policy, the Korean housing market had a shortage of low-priced houses related to biased apartment developments by private sector dependence. Consequently, the living in Korea generally required the high price in low quality houses. But in France, the housing policies were very successful in housing quantity, quality, and expense. It is involved in balances between the public housing supply and the activation of a private housing market based on the government support policy. Nevertheless, in the success of the apartment as a house type, apartments in France means the social elimination because of the supply method problems and the management failures of HLM institutions. However, in Korea, the apartment implies the successful life of the middle class population because of the competitive evolutions during 40 years as a market housing. Secondly, In the characteristics of remodeling, the remodeling in Korea was for property value improvements. It mainly executed to expand the size of a house by expansion of living space. However the remodeling in France was for social mixes and connections with the surrounding area. It mostly performed by various design methods such as vertical merging houses, partial removal, reconstruction, and construction of a local community centers and mixed-use residential buildings. This study shows the simultaneously remodeling features of those two countries. These findings can be used in developing effective strategies for the public housing regenerations in Korea and other countries.

• Korean Journal of Remote Sensing
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• v.36 no.6_2
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• pp.1567-1577
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• 2020

Urban land cover classification is role in urban planning and management. So, it's important to improve classification accuracy on urban location. In this paper, machine learning model, Support Vector Machine (SVM) and Artificial Neural Network (ANN) are proposed for urban land cover classification based on high resolution satellite imagery (KOMPSAT-3A). Satellite image was trained based on 25 m rectangle grid to create training data, and training models used for classifying test area. During the validation process, we presented confusion matrix for each result with 250 Ground Truth Points (GTP). Of the four SVM kernels and the two activation functions ANN, the SVM Polynomial kernel model had the highest accuracy of 86%. In the process of comparing the SVM and ANN using GTP, the SVM model was more effective than the ANN model for KOMPSAT-3A classification. Among the four classes (building, road, vegetation, and bare-soil), building class showed the lowest classification accuracy due to the shadow caused by the high rise building.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.97-110
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• 2022

The purpose of this study is to analyze the level of public data convergence capabilities of administrative organizations and to explore important variables in data-based organizational capabilities. The theoretical background was summarized on public data and use activation, joint use, convergence, administrative organization, and convergence constraints. These contents were explained Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. The research model was set as the data-based organizational capabilities effect by a data-based administrative capability, public data operation capabilities, and public data operation constraints. It was also set whether there is a capabilities difference data-based on an organizational operation by the level of data convergence capabilities. This study analysis was conducted with hierarchical cluster analysis and multiple regression analysis. As the research result, First, hierarchical cluster analysis was classified into three groups. It was classified into a group that uses only public data and structured data, a group that uses public data on both structured and unstructured data, and a group that uses both public and private data. Second, the critical variables of data-based organizational operation capabilities were found in the data-based administrative planning and administrative technology, the supervisory organizations and technical systems by public data convergence, and the data sharing and market transaction constraints. Finally, the essential independent variables on data-based organizational competencies differ by group. This study contributed. As a theoretical implication, this research is updated on management information systems by explaining the Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. As a practical implication, the activity reinforcement of public data should be promoting the establishment of data standardization and search convenience and elimination of the lukewarm attitudes and Selfishness behavior for data sharing.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.761-776
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• 2022

For fostering the biomedical industry, the formation of a high-tech-based innovation cluster is continuously being promoted. Accordingly, studies dealing with domestic clusters are being conducted based on case studies on major overseas clusters, but they are limited to a single case. In this paper, content analysis was used based on the literature about innovation clusters and bio-medical industry to comprehensively summarize the factors to be considered for the creation and activation of bio-medical clusters. Subsequently, the factors derived through content analysis were applied to the case of the Hongreung Innotown. The requirements for the successful creation of the Hongreung Innotown, it is required to improve settlement conditions, prepare systems to create start-up culture, and revitalize translational research, attract investment, and cooperate and connect with local clusters.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.1
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• pp.249-263
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• 2006

The purpose of the study was to investigate the continuing education model desired by the academic librarians in the present digital environment. For this purpose the study undertook a questionnaire survey of academic librarians in Korea. As a result it was shown that 61.4% of the librarians participated more than once(average 2.6 times) in the continuing education program during the last one year. The most preferred program type was one week or 2-3 days workshop. The theme of the program was regarded the most important factor for the activation of the continuing education. and the preferred theme of the program was user instruction. information retrieval. electronic licensing. planning and strategy, library marketing, virtual reference service etc.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.349-357
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• 2022

The various types of play structures and environments in which the playful motivation of YouTube users is effectively implemented are the main backgrounds of YouTube development and activation. This study discussed the types of play in YouTube space by dividing them into 'Agon', 'Alea', 'Mimicry', 'Ilinx' categories. And, it was found that the types of play that can be experienced in YouTube spaces are not divided into clear boundaries, but the elements of 'competition', 'luck', 'mimicry' and 'vertigo', which are essential characteritiscs of each category, are fused into various combinations. As such, this study is sufficiently academic in the fact that it is a humanistic approach to YouTube. In addition, it is a practical research result that can be actually used in the process of planning and producing user-centered similar platforms in the future.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.375-383
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• 2006

Nationals Assembly have experiencing unbalance between capacities and demand of parking facilities because of increasing parking demand, free parking policy, long term parking and passenger car use of workers, usage of neighborhood office workers and visitors. The lack of parking facilities cause illegal parking on the street inside and outside of National Assembly which result in the disorder of parking culture. To solve these parking problems, this study suggest parking management system to enter the National Assembly for the short term and charging parking fee, operation by private company, constructing parking building by abrogation of upper limit and construction of ground park, and so on. The study, also, suggested to strengthen weekday or 10 day shift system, to increase shuttle bus and commuting bus, to activation of Han River waterside parking area, public transportation with those new parking management system. For the conclusion, the parking problems of National Assembly should be focused more on parking management than the parking facilities supply.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.235-243
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• 2023

In this paper, we developed a problem-solving based safety education program using physical computing for middle school students and applied it to verify the impact on self-efficacy and interest. The safety education program developed in this study includes four stages of the creative problem-solving model: problem identification, planning, implementation, and evaluation, and learning activities using Arduino, a physical computing tool. After implementing the education program with 77 third-year middle school students, both self-efficacy and interest of middle school students increased significantly. Based on the research results, the effectiveness of the safety education program that used physical computing and problem-solving steps was confirmed, and practical implications were presented to promote the activation of physical computing education in the school field.

• Journal of Environmental Science International
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• v.33 no.6
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• pp.417-425
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• 2024

This study investigated the effects of various planting models on the joint cultivation of eggplant (Solanum melongena) and marigold (Tagetes erecta)to enhance sustainable rooftop urban farming. Rooftop agriculture is increasingly valued to boost the food supply and benefit the environment. Integrating such practices into urban planning is viewed as a way to sustainably manage resources and improve the food-energy-water cycle in cities. The experiment was conducted on a rooftop in Chungju, South Korea from May to August. Four different planting setups were used: central eggplant with peripheral marigold (SET), eggplant with a protective net (SIC), central marigold with peripheral eggplant (TES), and control with only eggplant (CON S). These models tested the effects of companion planting versus monoculture using a lightweight soil mix ideal for rooftops made from cocopeat and perlite and enriched with organic fertilizer. Measurements focused on soil conditions and plant health and assessed soil temperature, moisture, conductivity, plant height, width, and leaf size. The results indicated that the SET modelyielded the best growth. This setup benefited from marigold pest control properties and its ability to improve soil conditions by enhancing moisture and nutrient levels and aiding eggplant growth. These findings underscore the potential of mixed planting on rooftops and suggest that such approaches can be effectively incorporated into urban agriculture to boost yield and environmental sustainability. This study supports the idea that diverse planting methods can significantly affect plant growth and promote urban greening and food security.

• Journal of Distribution Science
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• v.22 no.10
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• pp.31-41
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• 2024

Purpose: The purpose of this article is to examine the supply chain issues in the palm oil industry in Malaysia and by proposing a comprehensive and strategic plan. Research design, data and methodology: Through meticulous qualitative analysis, we have identified the strengths, weaknesses, opportunities, and threats (SWOT) affecting the Malaysian palm oil supply chain. Leveraging the SWOT-Quantitative Strategic Planning Matrix (QSPM), we have critically assessed a range of strategies. Results: Our findings have underscored the supply chain's robust infrastructure and efficient operations as significant strengths, while environmental impact and distribution concerns emerged as notable weaknesses. The study highlights the promotion of certified sustainable palm oil to meet global demands as the most promising opportunity, juxtaposed against stricter regulations hampering market access as the primary threat. Remarkably, the QSPM has singled out the activation of existing infrastructure as the top priority. Conclusions: This study contributes substantially to the field by offering an in-depth analysis and improvement blueprint specifically tailored to the palm oil supply chain. In light of prevailing negative perceptions, distribution campaigns, and trade hurdles, businesses can harness the strategic insights presented here to unlock the full potential of the supply chain and steer it towards sustainable prosperity.