• Korean Journal of Remote Sensing
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• v.35 no.5_2
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• pp.841-850
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• 2019

The purpose of this study is to strengthen the capability of rapid mapping for disaster through improving the positioning accuracy of mapping and fusion of multi-sensing point cloud data derived from Unmanned Aerial Vehicles (UAVs) and disaster investigation vehicle. The positioning accuracy was evaluated for two procedures of drone mapping with Agisoft PhotoScan: 1) general geo-referencing by self-calibration, 2) proposed geo-referencing with optimized camera model by using fixed accurate Interior Orientation Parameters (IOPs) derived from indoor camera calibration test and bundle adjustment. The analysis result of positioning accuracy showed that positioning RMS error was improved 2~3 m to 0.11~0.28 m in horizontal and 2.85 m to 0.45 m in vertical accuracy, respectively. In addition, proposed data fusion approach of multi-sensing point cloud with the constraints of the height showed that the point matching error was greatly reduced under about 0.07 m. Accordingly, our proposed data fusion approach will enable us to generate effectively and timelinessly ortho-imagery and high-resolution three dimensional geographic data for national disaster management in the future.

• Journal of vocational education research
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• v.35 no.4
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• pp.109-129
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• 2016

Korea has recently invested much of its effort in fostering talents in scientific fields to establish a foundation for sustainable future growth. From this perspective, the ministry of education has come up with a special rule aimed at achieving the substantiality of engineering schools in universities. The ministry has been providing educational support by providing a tech-innovation center, industry-oriented education, and policies such as PRIME. Despite this support, most students in the natural science field end up being hired in fields not related to their majors. There has been a growing opinion regarding the need for career education for these students. In this research, based on a social cognitive career theory (SCCT) model that provides a comprehensive understanding of career development, this research would like to practically examine the relationship among college students' career preparation behaviors and influencing variables, such as grit, career decision-making self-efficacy, outcome expectation, and major interest. Data from 153 natural-science majors at A college in Korea were collected and analyzed using path analysis. The result was that the data strongly supported the model explaining the relationship between career preparation behaviors and influencing variables. Based on this result, we propose that career education that can promote grit, career decision-making self-efficacy, outcome expectation, and major interest is required to encourage students in the field of the natural sciences to pursue career preparation behaviors related to their majors.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.33-50
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• 2022

While the number of female entrepreneurs has been increasing, and female entrepreneurship has been increasingly perceived as a driving force of sustainable economic development, there is a lack of studies of female entrepreneurship, particularly in the non-Western regions. This study aims to explore current levels of entrepreneurial competences of female college students in four Asian countries (i.e., Indonesia, Korea, Philippines, and Vietnam), differences in the competences between countries, and factors affecting their entrepreneurial competences. Using online surveys, the present study collected data from 516 female Asian college students and examined their entrepreneurial competences in six dimensions-entrepreneurship, sensibility, business management, relationship management, strategic management, and multi-tasking. This study also investigated effects of four variables (i.e., entrepreneurship course taking experiences, on-campus entrepreneurship experiences, off-campus entrepreneurship experiences, and entrepreneurial intentions) on the six aspects of entrepreneurial competences. Data analysis reveals that female Asian college students as a whole group possess quite high levels of entrepreneurial competences while the Filipino students show the biggest competence in all the six dimensions measured. As regards affecting factors, this study finds that, in the total sample, regression equations are significant in all the six dimensions of entrepreneurial competences. On-campus experiences have significantly positive effects on those six dimensions while course taking experiences and entrepreneurial intentions positively affect three different dimensions each. However, out-of-campus experiences turn out to be negative though their effects are insignificant. Meanwhile, in individual samples, different factors affect different dimensions of entrepreneurial competences. Based on these findings, the present study suggests some actions for promoting female entrepreneurship and for conducting future studies.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.138-154
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• 2008

Geo-special technologies are being adopted in variety fields since the 3rd NGIS plan that was started at 1996. However, the required system or structure to guarantee the up-to-date validity and accuracy of the geospatial data - the most fundamental elements of the technology - was not constructed yet. All the activities related to geospatial data, including topographical map and numerical base map, are all implemented in separate way; from change of geographical objects and features, data gathering, and database construction to distribution, transfer and sharing of these data. The data model that links all the activities are required that enables consistent data-flow and effective and systematic work-flow. In this study, economic data renewal and exchange method was proposed, and benefit-cost analysis was implemented by comparing the conventional work-flow to newly proposed work-flow. The case study was implemented using the model that was adopted in Daegu metropolitan city, and the model was developed by reflecting these results.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.125-145
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• 2020

We explore technology ecosystem of smart surgical medical system by analyzing patent data applied for in Korea and Japan. First, a review of trends of patent application by country/technological domain show that there exist a minority of technology domains focused on R&D, which represent their trends have been increasingly active. Also, while a number of Japanese firms mainly consist of the patent market of Japan, in case of the Korean market, a few universities, SMEs, and foreign firms are found to be the main applicants. As a result of the network analysis with the links as the relations of co-patenting, the relationships, which are active of convergence and knowledge spillover among the heterogeneous technology domains within each market, as well as the technology domains, which are the most active in international cooperation among each homogeneous domain, could get derived and visualized in the ecosystem. In addition, the technology domains in each patent market with leading locations, roles, and influence in the network can also be identified through the centrality analysis. In this study, the analysis for technology competitiveness are carried out focusing on patent activity and patent impact. The results denote that across all domains, the Japanese market may possess higher patent activity and patent impact compared to the Korean market. In consequence, we derive the position map for comparison by country and technology domain from a perspective considering comprehensively the multi-dimensional attributes based on the results of both network analysis and technology competitiveness.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.170-179
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• 2007

The present study purposed to establish a network for building an efficient disaster response system and for this purpose, we compared cases of disaster response in Japan and Korea. In Japan, disasters are responded jointly through the network of the central government, local self governing bodies and non governmental organizations. In Korea, however, the cooperative network among different areas is weak and this is aggravating damages caused by disasters. That is, in Korea, disaster response services have been mainly carried out by the public sector. The public sector can operate a powerful disaster management system using its extensive management resources, compelling power, and legal authorities. However, it was found that, due to the characteristics of contemporary society, efforts by the public sector including the central government and the local self government bodies have limitations in managing disasters effectively. Thus, for efficient disaster response in Korea, it is urgently required to establish a national disaster response network as well as a private sector cooperation system and to induce NGOs to participate in the disaster response system through institutional devices.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.76-84
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• 2014

As the number of high-density videos increase, parallel processing approaches are necessary to process a large-scale of video data. When a processing method of video data requires thousands of simple operations, GPU-based parallel processing is preferred to CPU-based parallel processing by way of reducing the time and space complexities of a given computation problem. This paper studies the parallel design and implementation of a shot-boundary detection algorithm. The proposed shot-boundary detection algorithm uses pixel brightness comparisons and global histogram data among the blocks of frames, and the computation of these data is characterized with the high parallelism for the related operations. In order to maximize these operations in parallel, the computations of the pixel brightness and histogram are designed in parallel and implemented in NVIDIA GPU. The GPU-based shot detection method is tested with 10 videos from the set of videos in National Archive of Korea. In experiments, the detection rate is similar but the computation time is about 10 time faster to that of the CPU-based algorithm.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.921-929
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• 2011

In Information age, the academic liberal art Computer education course set up goals for promoting computer literacy and for developing the ability to cope actively with in Information Society and for improving productivity and competition among nations. In this paper, we analyze on discovering of decisive property and satisfaction index to have a influence on computer education on university students. As a preprocessing method, the proposed method select optimum property using correlation feature selection of machine learning tool based on Java and then we use multiclass least square support vector machine based on statistical learning theory. After applying that compare with multiclass support vector machine and multiclass least square support vector machine, we can see the fact that the proposed method have a excellent result like multiclass support vector machine in analysis of the academic liberal art computer education satisfaction index data.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.4 s.38
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• pp.45-51
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• 2006

Recently the coast is an important area in terms of spatial land use and natural environment conservation such as the expansion of a national land and the development of a coastal industrial zone in Korea. We can not provide a proper solution for a boundary determination raised by a land ownership dispute due to the insufficient coast land registration. We observed the status of the coast land registration and analyzed the problem through the investigation of the difference between a land title and a coast land in the study area. We selected the west coast with the big difference between the ebb and flow of the tide as the study area from a paper review, compared a cadastral line with a coast line and suggested a good guideline to solve the problem through understanding the status of the coast land title registration in Korea.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.3B
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• pp.265-276
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• 2011

Precipitation data and groundwater level data were collected for Korean peninsular and Jeju island. The relationship between precipitation and groundwater level and the correlation between the moving average of precipitation and goundwater level were analyzed. Critical infiltration, which is the spatially averaged maximum daily infiltration depth over interested region, is considered when the precipitation data was modified for moving average process and correlation between the moving average of modified precipitation and groundwater level. High correlation regions, which have greater than 0.6 correlation coefficients, were selected after the analysis with ciritical infiltration. Twenty-six regions were selected for high correlation regions. If we divide the regions by administrative district, there are nine regions for Gyungsang-Do, five regions for Chunchung-Do, four regions for Gyunggi-Do and Gangwon-Do, three regions for Jolla-Do, and one region for Jeju island. The groundwater level data for high correlation regions shows obvious response after precipitation event and there are few cases with abrupt change in groundwater level without precipitation-related event.