• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.13-23
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• 2021

This study requires SW education that can adapt to the advent of the fourth industrial revolution and the new normal environment of COVID-19 pandemic. Small and powerful smartphones, which have become a necessity in digital society, are designed and applied to create apps with useful apps or artificial intelligence modules that have been trained with data using the App Inventor program as a good teaching tool. After conducting the class in a blended method that combines face-to-face and non-face methods, the survey questioned the technical and cognitive maturity of artificial intelligence and the pros and cons of blended software classes. We also found changes in career orientation, which is intended to explore SW-related talent occupations that require a lot of demand in terms of national development before and after artificial intelligence classes. Significant results were reached in three of the sub-elements. Even in non-face-to-face situations, it is expected that an app vendor software education program using artificial intelligence will be provided to the actual site.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.39-39
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• 2021

기상재해를 극소화하기 위해서는 그 원인이 되는 기상현상의 규모와 거동을 명확히 감시하고 분석하여 신뢰성 있는 예측정보가 제공되어야 한다. 최근 위험기상 발생빈도가 증가하여 초단기 및 위험기상 예보의 정확도 향상을 위한 고품질 레이더 정보 활용 연구가 활발하게 진행되고 있다. 레이더는 전자파를 이용하여 강우의 양과 분포, 이동특성을 관측하는 장비로써 우리나라는 초단기적 위험기상 대응능력 향상을 추진하기 위한 목적으로 첨단 성능의 이중편파레이더 관측망을 구축하고 있다. 국내 기상관측용 레이더는 기상예보(기상청), 홍수예보(환경부), 군 작전 기상지원(국방부) 등으로 각 기관이 개별적으로 설치운영 하고 있다. 본 연구에서는 관계부처에서 운영하고 있는 레이더의 합성장을 이용하여 강수장의 상관성을 기반으로 이류(advection) 특성을 도출하였다. 정확도 있는 이류특성을 도출하기 위하여 시간해상도는 10분을 적용하였으며 가우시안 필터링 기법을 적용하여 강수장 상관분석을 수행하였다. 호우와 태풍을 대상으로 강수장의 이류패턴을 추출하여 강수장의 이동방향 및 속도를 고려한 강수량 예측기법의 적용성을 평가하였다. 본 연구 결과는 격자형 강수예측정보를 제공하여 AI 홍수예보 및 수치예보 모델의 초기조건 입력 등에 활용되어 기후변동성에 따른 대국민 안전 실현을 확보하는데 기후변화 대응전략의 핵심기술로 활용될 수 있을 것으로 판단된다. 덧붙어, 4차 산업혁명에 따른 수문기상 빅 데이터(big data) 통합 플랫폼을 구축하여 고해상도 홍수대응 기술 및 GIS 및 모바일 시스템을 연계한 실시간 기후재해 예·경보가 가능할 것으로 사료된다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.493-504
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• 2008

Considerable effort has been made to improve construction processes through mechanization and robotization of current work. In this paper, the trend of research and development related to the construction machinery automation to improve the construction productivity has been reviewed. A classification system is proposed for automation of architectural and civil works. Then, the priority among the classified construction tasks for automation has been identified through the questionnaire study. Based on the priority for automation a comprehensive technology road map was also developed. The technology road map suggests the time frame to complete R&D work for the selected construction tasks and the core technology required for automation of the selected tasks. Such automation R&D road map for construction machinery can be utilized as a milestone in setting up the R&D strategy in the construction industry.

• Korean Journal of Exercise Nutrition
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• v.13 no.2
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• pp.123-130
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• 2009

The purpose of this study was to provide the basic information on nutritional condition for improving performance of the national junior rowing team players(male n=17, female n=14). To attain this purpose, their body composition and energy intake situations were investigated during their three-week winter training camp. Measurement of body composition measured by the interval, and two days, and dietary intake in this study to investigate the type and amount of food, the researchers measured directly, and then refer to the record subjects to investigate the dietary intake and the adoption of a Weighing Method. The result is as follows. During training, body composition due to the high intensity training to maintain a properly balanced diet is the consumption of energy, weight and body composition has a positive influence. The male players' average energy intake is 5,951.6 kcal(72.6 kcal/kgBW, 150%), the rate of the three main nutrients, carbohydrate, fat, protein, is 72.6 : 8.7 : 18.7 respectively. For the female, the average energy intake is 3,685.6 kcal(51.8 kcal/kgBW, 121%), and the rate of the three main nutrients is 76.3 : 8.5 : 15.2. Both of male and female were taken sufficient Vitamin, mineral and other nutrient according to %RI(recommended intake). Based on the results of a survey of elite athletes and nutrition management and the systematic introduction and review of the program in conjunction with a professional nutritionist would need, and can also be applied to expand the school to the scene, the reality of the program review and development of qualified need.

• Journal of Aerospace System Engineering
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• v.17 no.6
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• pp.108-117
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• 2023

Thus far, a mission software component of the KT-1 military fixed-wing aircraft for overseas export has been developed through international joint development with foreign companies. The reliability of the software component could be certified by complying with the development environment and procedures of foreign companies based on DO-178B. However, recently, DO-178C certification is required for overseas exports, and reliability tests to comply with the weapon system software development guidelines are required for domestic military forces. In this paper, we describe the problems in obtaining domestic airworthiness certification in the international joint development of a previously developed KT-1 export-typed aircraft system integration project. To this end, we find a solution to comply with both DO-178C and the Weapon System Software Development and Management Manual and provide the optimal software reliability test method.

• Korean Chemical Engineering Research
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• v.61 no.4
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• pp.487-495
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• 2023

Ammonia is either a crucial resource of fertilizer production for solving the food problem of mankind or an important energy source as both an eco-friendly hydrogen carrier and a carbon-free fuel. Therefore, nowadays ammonia synthesis and decomposition become promising. Then, a catalyst is required to effectively perform the ammonia synthesis and decomposition. In order to design high-performing as well as cheap novel catalysts for ammonia synthesis and decomposition, it is necessary to test huge amount of catalyst candidates, but it is inevitably time-consuming and expensive to search and analyze using only traditional approaches. Recently, new methods using machine learning which is one of the core technologies of the 4th industrial revolution that can quickly and accurately search high-performance catalysts has been emerging. In this paper, we investigate reaction mechanisms of ammonia synthesis and decomposition, and we described recent research and prospects of machine learning-driven methods that can efficiently find high-performing and economical catalysts for ammonia synthesis and decomposition.

• Journal of Korea Water Resources Association
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• v.56 no.12
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• pp.929-937
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• 2023

This study aims to develop rules for the Determination of Drought Stages at the Local Level based on the drought cases in Gwangju and Jeollanam-do in 2022-2023. Among the eight drought indicators provided, six indicators (Agricultural drought stage (for paddy), Residential & industrial drought stage, SPI-12, Relative agricultural water storage, Residential water consumption change (for domestic use), Residential water consumption change (for non-domestic use) were confirmed to have statistical correlations with the perceptions of local government officials and experts. Additionally, this drought indicator was applied to a decision tree algorithm to develop rules for determining the severity of drought. Although it presented results similar to those of the existing method presented in previous studies, it showed a significant comparative advantage in explaining the temporal and spatial patterns of drought in the Gwangju and Jeollanam-do.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.31-40
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• 2024

In the realm of domestic online fashion platform industry the manual registration of product information by individual business owners leads to inconvenience and reliability issues, especially when dealing with simultaneous registrations of numerous product groups. Moreover, bias is significantly heightened due to the low quality of product images and an imbalance in data quantity. Therefore, this study proposes a ResNet50 model aimed at minimizing data bias through oversampling techniques and conducting multiple classifications for 13 fashion categories. Transfer learning is employed to optimize resource utilization and reduce prolonged learning times. The results indicate improved discrimination of up to 33.4% for data augmentation in classes with insufficient data compared to the basic convolution neural network (CNN) model. The reliability of all outcomes is underscored by precision and affirmed by the recall curve. This study is suggested to advance the development of the domestic online fashion platform industry to a higher echelon.

• Journal of Navigation and Port Research
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• v.47 no.6
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• pp.419-429
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• 2023

The pinnacle of rapidly changing and advancing maritime transportation technology is expected to be the Maritime Autonomous Surface Ship (MASS). The implementation of various services within the MASS is likely to be feasible through the ship-centric network known as the S2X communication system. However, existing communication systems face issues such as service traffic saturation and failure to meet demanded functionalities, necessitating the proactive introduction of additional communication technologies. In this study, the concept of S2X communication for the MASS was redefined, deriving required functionalities and ultimately selecting frequencies suitable for utilization. Candidate frequency groups suitable for the derived communication requirements were identified, and communication frequencies prioritized for the initial application were chosen through expert consensus. It is anticipated that through further research, including experimentation to validate these frequencies, they could be utilized in implementing services for autonomous ship navigation in the future.

• Food Science and Preservation
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• v.30 no.6
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• pp.1072-1081
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• 2023

In the present study, various experiments were performed to evaluate the biological activities, such as the antioxidant, anti-inflammation, and antimicrobial activities of sword bean (Canavalia ensiformis) fermentation filtrate by Lactobacillus plantarum (L. plantarum) and Lactobacillus brevis (L. brevis). Total polyphenol (TPC) and flavonoid contents (TFC) of sword bean were significantly decreased after fermentation regardless of Lactobacillus sp. (p<0.05). The DPPH radical scavenging activity of sword beans also decreased after fermentation. However, nitric oxide (NO) radical scavenging activity conspicuous increased after fermentation (p<0.001) in a treated concentration-dependent manner, and the effect for L. brevis was higher than for L. plantarum. In addition, the sword bean fermentation filtrate showed a strong inhibitory effect against Pseudomonas aeruginosa, Staphylococcus sp., and Escherichia coli. Cell cytotoxicity was not exhibited in all experimental groups (data not shown). These findings suggest that the sword bean fermentation filtrate may be used effectively in various industries due to its high anti-inflammatory and antimicrobial activities.