• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.981-988
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• 2023

As the usage of unmanned aerial vehicles expands, the development and the demand of related technologies are increasing. As the frequency of operation increases and the convenience of operation is emphasized, the importance of related autonomous flight technology is also highlighted. Establishing a path plan to reach the destination in autonomous flight of an unmanned aerial vehicle is important in guidance and control, and a technology for automatically generating path plan is required in order to maximize the effect of unmanned aerial vehicle. In this study, the optimization research of path planning using rapid-exploring random tree method was performed for increasing the effectiveness of autonomous operation. The path planning optimization method considering the characteristics of the unmanned aerial vehicle is proposed. In order to achieve indexes such as optimal distance, shortest time, and passage of mission points, the path planning was optimized in consideration of the mission goals and dynamic characteristics of the unmanned aerial vehicle. The proposed methods confirmed their applicability to the generation of path planning for unmanned aerial vehicles through performance verification for obstacle situations.

• Journal of Korean Society of Rural Planning
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• v.30 no.1
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• pp.67-79
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• 2024

The Comprehensive Rural Village Development Project, a resident-led bottom-up regional development project, began in 2004. This study investigated difficulties and problems in the operation process after the completion of the project, and future improvement plans, through in-depth interviews with the former and current chairman of the steering committee, steering committee members, and office managers, targeting three regions in Jeollanam-do, 15 years after the completion of the project. As a result of the survey and analysis, it was effective in improving the living environment and characteristics of each village and revitalizing the area. And while there were well-run facilities depending on the type of project, there were also many idle facilities. In the case of communal facilities, there was a high possibility of problems in operation and management when the scale of the new building was large. Conflicts occurred between villages in the process of independently operating the area after the completion of the project. Therefore, it is necessary to provide an S/W project program to prepare for after completion. Local governments need to utilize City and County Capacity Enhancement Projects to support regional leaders to participate in educational programs after completion and provide guidance and supervision for village operations.

• Convergence Security Journal
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• v.24 no.1
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• pp.35-42
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• 2024

Multi-tenancy architecture plays a crucial role in cloud-based services and applications, and data isolation within such environments has emerged as a significant security challenge. This paper investigates various data isolation methods including schema-based isolation, logical isolation, and physical isolation, and compares their respective advantages and disadvantages. It evaluates the practical application and effectiveness of these data isolation methods, proposing security considerations and selection criteria for data isolation in the development of multi-tenant websites. This paper offers important guidance for developers, architects, and system administrators aiming to enhance data security in multi-tenancy environments. It suggests a foundational framework for the design and implementation of efficient and secure multi-tenant websites. Additionally, it provides insights into how the choice of data isolation methods impacts system performance, scalability, maintenance ease, and overall security, exploring ways to improve the security and stability of multi-tenant systems.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.43-56
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• 2024

Purpose: The injection molding process, crucial for plastic shaping, encounters difficulties in sustaining product quality when replacing injection machines. Variations in machine types and outputs between different production lines or factories increase the risk of quality deterioration. In response, the study aims to develop a system that optimally adjusts conditions during the replacement of injection machines linked to molds. Methods: Utilizing a dataset of 12 injection process variables and 52 corresponding sensor variables, a predictive model is crafted using Decision Tree, Random Forest, and XGBoost. Model evaluation is conducted using an 80% training data and a 20% test data split. The dependent variable, classified into five characteristics based on temperature and pressure, guides the prediction model. Bayesian optimization, integrated into the selected model, determines optimal values for process variables during the replacement of injection machines. The iterative convergence of sensor prediction values to the optimum range is visually confirmed, aligning them with the target range. Experimental results validate the proposed approach. Results: Post-experiment analysis indicates the superiority of the XGBoost model across all five characteristics, achieving a combined high performance of 0.81 and a Mean Absolute Error (MAE) of 0.77. The study introduces a method for optimizing initial conditions in the injection process during machine replacement, utilizing Bayesian optimization. This streamlined approach reduces both time and costs, thereby enhancing process efficiency. Conclusion: This research contributes practical insights to the optimization literature, offering valuable guidance for industries seeking streamlined and cost-effective methods for machine replacement in injection molding.

• The Journal of Engineering Geology
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• v.34 no.1
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• pp.107-115
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• 2024

This study assesses forest fire susceptibility in Gangwon-do, South Korea, which hosts the largest forested area in the nation and constitutes ~21% of the country's forested land. With 81% of its terrain forested, Gangwon-do is particularly susceptible to wildfires, as evidenced by the fact that seven out of the ten most extensive wildfires in Korea have occurred in this region, with significant ecological and economic implications. Here, we analyze 480 historical wildfire occurrences in Gangwon-do between 2003 and 2019 using 17 predictor variables of wildfire occurrence. We utilized three machine learning algorithms—random forest, logistic regression, and support vector machine—to construct wildfire susceptibility prediction models and identify the best-performing model for Gangwon-do. Forest and soil map data were integrated as important indicators of wildfire susceptibility and enhanced the precision of the three models in identifying areas at high risk of wildfires. Of the three models examined, the random forest model showed the best predictive performance, with an area-under-the-curve value of 0.936. The findings of this study, especially the maps generated by the models, are expected to offer important guidance to local governments in formulating effective management and conservation strategies. These strategies aim to ensure the sustainable preservation of forest resources and to enhance the well-being of communities situated in areas adjacent to forests. Furthermore, the outcomes of this study are anticipated to contribute to the safeguarding of forest resources and biodiversity and to the development of comprehensive plans for forest resource protection, biodiversity conservation, and environmental management.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.6
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• pp.37-46
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• 2014

This study investigates the effects of the degree of preparation engaged in the related industry, and the amount of financial support program on R&D performance of technology based startup companies. This study seeks to discover the core variables that impacts most on business performance. However, it should be noted that the validity of such variables and their impacts on business performance can be contentious. The study sets hypothetical variables as following. Intensity of preparation of the startup company, amount of preparation and amount of work experience in related industry are independent variable. The amount of financial support program was selected as a moderating mediating variable. According to the results, the intensity of preparation had a positive relationship with R&D performance, as opposed to work experience of the founder having a negative relationship on R&D performance. The amount of support program had no significant relationship with R&D performance. Furthermore, there are negative modified effect between the amount of support program and work experience. And, there is no relationship modified effect between support program and work experience. Existing policies tend to lean heavily toward young entrepreneurs through support and guidance. The government has placed great emphasis on policies that aim to promote and create jobs for young individuals. The results suggest that the government should review their policies toward young technological entrepreneurs and that these entrepreneurs should prepare thoroughly before launching any startups.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.141-157
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• 2024

This study analyzes the effect of enterepreneurial competencies on start-up performance through network activities for young entrepreneurs. Enterepreneurial competencies are composed of opportunity recognition competencies, marketing competencies, technical competencies, and creative competencies. A total of 354 questionnaires collected from young entrepreneurs residing in the country were used for empirical analysis. SPSS v28.0 and PROCESS macro v4.3 were analyzed based on the research model of a single-parameter single-mediated model. As a result of the analysis, first, it was found that among the enterepreneurial competencies, opportunity recognition competencies, marketing competencies, technical competencies, and creative competencies have a positive (+) significant effect on network activities. Among them, it was found that marketing competence has the greatest effect on network activities and technical competence has the least effect. Second, network activities were found to have a significant effect on start-up performance in a positive (+) direction. Third, among enterepreneurial competencies, opportunity recognition competence, marketing competence, technical competence, and creative competence were found to have a positive (+) effect on start-up performance. Among them, it was found that creative competence had the greatest effect and technical competence had the smallest effect. Fourth, network activities were found to mediate between enterepreneurial competencies and start-up performance. As for the relative effect size of the indirect effects of independent variables, it was found that marketing competence had the greatest effect on start-up performance and technology competence had the smallest effect. The academic implications of this study include investigating the significance and relationship of various variables, providing verification of theoretical frameworks related to entrepreneurship, identifying the main drivers of start-up success, and suggesting the importance of the network between enterepreneurial competencies and start-up performance. In addition, the practical implications of this study suggest the importance of marketing competencies for networking, and suggest differentiation of competencies. It emphasizes the strategic role of creative competence and provides guidance to policymakers for supporting start-ups on customized policies for fostering valuable start-ups.

• The Korean Journal of Elementary Counseling
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• v.5 no.1
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• pp.65-92
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• 2006

The objective of this study is to conduct survey analyses of the role perception and performance of homeroom teachers in elementary schools in Seoul as well as their students' expectations for teachers' role as counsellors. The study also aims to analyze the causes behind the lackluster performance, to provide assistance in teachers' counselling and guidance activities and collect basic data for providing a plausible orientation for elementary school counselling. Research topics for achieving these study objectives are as follows. First, what is the status quo of counselling between elementary school students and teachers? Second, what is the role perception of elementary school homeroom teachers as counsellors and their current level of performance? Third, what are the differences in students' expectations for homeroom teachers' role as counsellors according to students' environmental variables such as gender and grade? Fourth, what are the discrepancies between the roles perception and performance of elementary school homeroom teachers and role expectation of students for homeroom teachers' role as counsellors? In order to answer these questions, surveys were conducted for 229 teachers and 385 students in grades 4, 5 and 6 in 11 elementary schools in Seoul, and the results were analyzed. The questionnaires used for this study were modified and supplemented according to the research objectives based on survey questions released by Gyung-Beom Lee(1989), Hak-Soo Lee(2001) and Gi-Nam Gwon(2005). Statistical analyses were peformed using the SPSS for Windows 10.0 program. The results of the study can be summarized as follows. First, most elementary school homeroom teachers were involved in counselling activities, and about half of them were providing counselling once a month or less. The classroom was the primary location of counselling, and more than half of the surveyed teachers were dissatisfied with their counselling activities. The teachers cited overwhelming teaching hours and excessive work as the factors that made counselling difficult. Second, it was revealed that most elementary school students have had experiences of anguish and most have had some form of counselling. They mostly sought counselling from their parents and friends, and the reasons behind such choices were that they were very understanding. Third, most students responded that they have had no experience of receiving counselling from their homeroom teachers. Among those with counselling experience with their homeroom teachers, most said that the counselling was helpful. The most significant reason for not receiving counselling from their homeroom teachers was that the students had no worries to talk about with their teachers. Fourth, as a result of categorizing the role of elementary school homeroom teachers as counsellors according to the areas of counselling, role perception for each area turned out to be generally high, while performance was substantially lacking. Fifth, in terms of the causes for the lackluster counselling performance, overwhelming teaching hours and excessive work were indicated for counselling areas of academic and personality issues. Sixth, the analysis of students' expectations for elementary school homeroom teachers as counsellors for counselling areas according to gender and grade revealed that there was no overall statistical significance. Seventh, from the general perspective, the level of role perception of the homeroom teachers were higher than the level of students' expectations. In conclusion, in order to enhance the teacher's role as a counsellor, there has to be a concrete perception of roles as a primary premise, calling for training sessions and programs dedicated to counseling for the teachers to take part in. Moreover, in order to alleviate the most significant causes for undermining teachers' counselling activities - overwhelming teaching hours and excessive work - there must be administrative consideration as well as provisions for effective counselling centers and dedicated school counsellors.

• Journal of Service Research and Studies
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• v.11 no.2
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• pp.37-66
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• 2021

This study aims to provide self-development opportunities to hair salons service workers through e-learning and provide the foundation of sustainable hair salons management by cultivating good talents to hair salons service business executives. In particular, the factors affecting e-learning achievement are identified according to learner characteristics to see whether these factors affect the satisfaction of e-learning learners and also affect the performance of management. The results of the study are summarized as follows. As a result of hypotheses testing on the relationship between e-learning learning environment and e-learning satisfaction, it was found that the higher the level of e-learning content quality is, the higher the satisfaction of e-learning is, the higher the satisfaction of e-learning is, and that the higher the quality level of the support infrastructure is, the higher the satisfaction of e-learning is. The results of the hypotheses testing on the moderating effect of learner factors showed that the influence of the quality of the support infrastructure on the e-learning satisfaction differs according to the level of the learner's goal consciousness. However, it was found that the influence of content quality on e-learning satisfaction according to the level of the learners goal awareness, the influence of content quality on e-learning satisfaction according to the level of the aggressiveness of the learners learning attitude, and the influence of the quality of the support infrastructure on the e-learning satisfaction according to the level of the aggressiveness of learners learning attitude were found to identically demonstrate no moderating effects. The results of hypotheses testing on the relationships among e-Learning performance show that the higher the satisfaction of e-learning was, the higher the customer orientation was, and the higher the satisfaction of e-learning was, the higher the contribution of management performance was, and the higher the customer orientation was, the higher the contribution of management performance was. The implications of this study are as follows. First, the actual path of realiting e-learning performance could be identified that is this study provided organizational decision makers involved in the hair salons service operations with practical guidance for the introduction and expansion of successful educational systems. Second, the e-learning environment derived from the theoretical background is different from the e-learning environment required by the learners.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.532-542
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• 2020

Due to abnormal weather conditions such as high temperature, the management of greenhouse rose farms is getting worse. In order to enhance the competitiveness of these farms, new measures are needed to improve their management performance. Therefore, this study suggests alternatives to improve the efficiency and productivity by identifying the causes of inefficiency of greenhouse rose farms in terms of management performance analysis through DEA analysis and MPI analysis. As a result of DEA analysis, the average TE of farmers increased from 0.867('16) to 0.905('17), but decreased to 0.850 in 2018, indicating that it was inefficient. In order to increase the management efficiency of farmers, efforts to preferentially reduce the costs (equipment, employment labor, fertilizer, facilities, seeds) that cause inefficiencies are needed. As a result of MPI analysis, TECI decreased from 1.044(T2) to 0.939(T3), which was the cause of the MPI decrease, and the TCI was rather increased from 0.958(T2) to 0.969(T3). In other words, it means that the decrease in productivity is due to insufficient utilization of potential production technology rather than the slowing of technological progress. This implies that it is important to provide technical guidance on utilization after technology dissemination.