• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1324-1342
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• 2020

Various modified algorithms of rapidly-exploring random tree (RRT) have been previously proposed. However, compared to the RRT algorithm for collision avoidance with global and static obstacles, it is not easy to find a collision avoidance and local path re-planning algorithm for dynamic obstacles based on the RRT algorithm. In this study, we propose boundary-RRT*, a novel-algorithm that can be applied to aerial vehicles for collision avoidance and path re-planning in a three-dimensional environment. The algorithm not only bounds the configuration space, but it also includes an implicit bias for the bounded configuration space. Therefore, it can create a path with a natural curvature without defining a bias function. Furthermore, the exploring space is reduced to a half-torus by combining it with simple right-of-way rules. When defining the distance as a cost, the proposed algorithm through numerical analysis shows that the standard deviation (σ) approaches 0 as the number of samples per unit time increases and the length of epsilon ε (maximum length of an edge in the tree) decreases. This means that a stable waypoint list can be generated using the proposed algorithm. Therefore, by increasing real-time performance through simple calculation and the boundary of the configuration space, the algorithm proved to be suitable for collision avoidance of aerial vehicles and replanning of local paths.

• Atmosphere
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• v.30 no.4
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• pp.319-333
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• 2020

Aircraft observations constitute one of the major sources of temperature observations which provide three-dimensional information. But it is well known that the aircraft temperature data have warm bias against sonde observation data, and therefore, the correction of aircraft temperature bias is important to improve the model performance. In this study, the algorithm of the bias correction modified from operational KMA (Korea Meteorological Administration) global model is adopted in the preprocessing of aircraft observations, and the effect of the bias correction of aircraft temperature is investigated by conducting the two experiments. The assimilation with the bias correction showed better consistency in the analysis-forecast cycle in terms of the differences between observations (radiosonde and GPSRO (Global Positioning System Radio Occultation)) and 6h forecast. This resulted in an improved forecasting skill level of the mid-level temperature and geopotential height in terms of the root-mean-square error. It was noted that the benefits of the correction of aircraft temperature bias was the upper-level temperature in the midlatitudes, and this affected various parameters (winds, geopotential height) via the model dynamics.

• Journal of Positioning, Navigation, and Timing
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• v.10 no.4
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• pp.363-369
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• 2021

Since the Global Navigation Satellite System (GNSS) signal received from the low Earth orbit (LEO) satellite is only affected by the upper ionosphere, the magnitude of the ionospheric delay of Global Positioning System (GPS) signal received from ground user is different. Therefore, the ground-based two-dimensional ionospheric model cannot be applied to LEO satellites. The NeQuick model used in Galileo provides the ionospheric delay according to the user's altitude, so it can be used in the ionospheric model of the LEO satellites. However, the NeQuick model is not suitable for space receivers because of the high computational cost. A simplified NeQuick model with reduced computing time was recently presented. In this study, the computing time of the NeQuick model and the simplified NeQuick model was analyzed based on the GPS Klobuchar model. The NeQuick and simplified NeQuick model were applied to the GNSS data from GRACE-B, Swarm-C, and GOCE satellites to analyze the performance of the ionospheric correction and positioning. The difference in computing time between the NeQuick and simplified NeQuick model was up to 90%, but the difference in ionospheric accuracy was not as large as within 4.5%.

• Korean Journal of Agricultural Science
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• v.49 no.2
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• pp.331-339
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• 2022

Deforestation and conservation of coniferous forest have been recognized as critical issues in Korea due to climate change. The main purpose of this research was to monitor changes of secondary metabolite contents and growth of Korean fir (Abies koreana) according to the temperature change in Mt. Halla. The Korean fir located at three different regions, Yeongsil, Witseoreum, and Jindallaebat, was monitored in April, July, and October from 2016 to 2018 and secondary metabolites, specifically lutein, α-carotenoid, and β-carotenoid, were analysed with high performance liquid chromatography. The results showed that average concentrations of lutein, α-carotenoid, and β-carotenoid were 0.82 - 23.30, 0.02 - 2.01, and 0.11 - 2.84 ㎍·g-1 and the highest concentration of secondary metabolite was observed in October compared to April and July. The average length and width of Korean fir in the three regions were 11.84 - 20.70 and 1.78 - 2.41 mm from 2016 - 2018. A correlation analysis showed that the concentrations of all three secondary metabolites were negatively correlated with temperature and a significant difference was observed between temperature and lutein concentration in Korean fir. Overall, growth and production of secondary metabolites in Korean fir highly depended on the temperature, and global warming thus might have an adverse effect on the growth and physiological changes of Korean fir in Mt. Halla.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.47-47
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• 2023

Drought occurs due to lack of water resources over an extended period and its intensity has been magnified globally by climate change. In recent years, drought over South Korea has also been intensed, and the prediction was inevitable for the water resource management and water industry. Therefore, drought forecasting over South Korea was performed in the current study with the following procedure. First, accumulated spring precipitation(ASP) driven by the 93 weather stations in South Korea was taken with their median. Then, correlation analysis was followed between ASP and Df4m, the differences of two pair of the global winter MSLP. The 37 Df4m variables with high correlations over 0.55 was chosen and sorted into three regions. The selected Df4m variables in the same region showed high similarity, leading the multicollinearity problem. To avoid this problem, a model that performs variable selection and model fitting at once, least absolute shrinkage and selection operator(LASSO) was applied. The LASSO model selected 5 variables which showed a good agreement of the predicted with the observed value, R²=0.72. Other models such as multiple linear regression model and ElasticNet were also performed, but did not present a performance as good as LASSO. Therefore, LASSO model can be an appropriate model to forecast spring drought over South Korea and can be used to mange water resources efficiently.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.118-124
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• 2023

With the acceleration of globalization and economic integration, multinational enterprises are becoming more and more important in the international market, and Sinar Mas Group, one of the largest integrated companies in Indonesia, has become one of the most influential overseas Chinese companies in Indonesia due to its outstanding performance and leadership position. This study aims to analyze the success factors of Sinar Mas Group and reveal its competitive advantages in the global market. Founded in 1962, Sinar Mas Group is an integrated multinational company headquartered in Indonesia, with significant presence in various fields such as paper, palm oil, real estate, finance and energy, with operations in Indonesia and many other countries and regions around the world. This study investigates the aspects of corporate history, corporate status, and corporate competitiveness. In addition, this study analyzes the reasons for Sinar Mas Group's success using the SWOT model. By comprehensively analyzing these key factors, this paper provides readers with an insight into the vitality and remarkable achievements of this Indonesian corporate giant in the global market. This study will help Korea enter Indonesia and contribute to Indonesian business research.

• Annual Conference of KIPS
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• 2023.11a
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• pp.528-529
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• 2023

Due to vast points and irregular structure, labeling full points in large-scale point clouds is highly tedious and time-consuming. To resolve this issue, we propose a novel point-based transformer network in weakly-supervised semantic segmentation, which only needs 0.1% point annotations. Our network introduces general local features, representing global factors from different neighborhoods based on their order positions. Then, we share query point weights to local features through point attention to reinforce impacts, which are essential in determining sparse point labels. Geometric encoding is introduced to balance query point impact and remind point position during training. As a result, one point in specific local areas can obtain global features from corresponding ones in other neighborhoods and reinforce from its query points. Experimental results on benchmark large-scale point clouds demonstrate our proposed network's state-of-the-art performance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.3
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• pp.129-138
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• 2014

After global economic crisis, China has become one of the two pillars in the global economies and the country contributing to the Korean economy. Nevertheless, the research on Chinese financial market, particularly capital market, is rare to date. This study examined the growth enterprise market that emergedat the Shenzhen stock exchange and made comparative analysis on before and after listing for the Chinese small and medium sized firms and venture firms. The listing requirements at the Chinese growth enterprise market for the technologically innovative venture firms and fast-growing small and medium sized firms with financing purpose were more alleviated than the main board of Shenzhen stock exchange. Moreover, the listing procedures are simplified as well. Accordingly, many Chinese enterprises tend to list and the competition for listing is also intense. In particular, with the 36 initially listed firms at growth enterprise market as the research target, the investigation for the business performance before and after listing reveals that the three indexes including return on common equity, debt ratio and operating profit growth rate dropped dramatically for most all the firms. That is, the profitability and growth for the venture firms and small and medium sized firms listed on the Chinese growth enterprise market decreased rapidly after going public, only the stability improved due to the great financing. Taking a step forward, this phenomenon may result from the exaggerated reporting for the business performance before listing with the purpose of going public by the venture firms and small and medium sized firms. Thus, Chinese Securities Regulatory Commission should strengthen the accounting evaluation standard and regulation for the listing firms before going public. In addition, strict sanctions should be imposed on the firms with fraudulent accounting to establish healthy capital market.

• Management & Information Systems Review
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• v.32 no.1
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• pp.289-309
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• 2013

Social enterprise has moved from periphery to take center stage. Social enterprises are a truly global phenomenon and associated with solving social problems with business approaches. While the numbers of social enterprises have grown and their impact is likely to continue to do so, it would be dangerous to assume that the revolutionary momentum will automatically continue, because social enterprise faced sustainability challenges. This study collected the data from directory of Korean Social Enterprise to conduct a quantitative research on the growth of social enterprise in South Korea. This study conducted longitudinal analysis of 491 social enterprise certified between 2007 and 2010, of economic performance with financial index and social impact with employment structure. Though global financial crisis, Korean social enterprises show that there is a considerable increase in all of quantitative and qualitative aspects. Korean social enterprises have provided meaningful work to those normally excluded from the labour market and tried to raise their life of working. In the future, Korean social enterprises should find a way to balance social and financial performance and ensure the sustainability of the business.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.327-328
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• 2022

The recent spread of the corona pandemic and a temporary surge in demand for consumer goods have resulted in an increase in port cargo volume, and the resulting port congestion is coupled with a shortage of labor in the port, exacerbating the global supply chain chaos. Supply chain disruptions will increase logistics costs and ultimately increase global inflationary pressures. In this situation, the role of the port, which is the nodal point between land and sea, is gradually becoming more important. And fully automated ports that are operated unmanned are evaluated as being able to respond stably and flexibly by reducing operational risks in situations such as COVID-19. Therefore, this study compared the operational performance of fully automated and non-fully automated terminals within the same port before and after the corona outbreak, and analyzed the fully automated terminal was stable in actual operation. As a result of the analysis, the fully automated terminal showed stable operating efficiency in all aspects of operational performance compared to the non-fully automated terminal even under severe port congestion due to COVID-19.