• Korean Journal of Comparative Education
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• v.28 no.3
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• pp.103-133
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• 2018

The modern world stands on the cusp of massive change in connection with the 4th industrial revolution. Following developed countries, developing countries also try to grow and keep up with the flow. Among them, trough the international cooperation government of Kazakhstan decided to include the International Baccalaureate Diploma Programme(IBDP) into the Nazarbayev Intellectual School(NIS) in April 2013. The goal of this study is to analyze the efficiency of introduction and implementation of the IBDP in the NIS and to consider the possibility of implementing this program in regular schools. To achieve the research goal, was applied the CIPP evaluation model(context - input - process - product) to assess IBDP program systematically. The analysis of empirical data collected due to the results of the international school system implementation, also in this study were used the results of questionnaires and interviews with the students and teachers who took part in the IBDP educational program. The results of the analysis showed that the average satisfaction of teachers and students who participated in IBDP was 3.64 points, however they pointed out the problems with management and organizations of the program, the establishment of a variety of subjects, recruitment of IBDP teachers etc. These measures would help to raise the status of school to the internationalization.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.237-245
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• 2018

The purpose of this study is to suggest the improvement plan for an effective benefit sharing support policy through empirical analysis on the benefit sharing operation of government as well as the benefit sharing support policy of government affecting firm performance. Therefore, this study analyzed current problems on benefit sharing operation of government as well as performed a survey for 225 participating and cooperation firms regarding firm performance. This study found some improvements such as insufficient diverse incentive measures leading to the difficulty of participating firm's increase and spread, insufficient substantial benefit sharing such a cash allocation between consignment firms, the increase of biz management system model failing to induce innovation of new technology or product, and difficult spread into 2nd, 3rd cooperative firms besides 1st ones, meanwhile, verifying the positive influence of government benefit sharing support policy on both participating and cooperation firms, especially on the performance of cooperation firms. As a further study, it is necessary to increase the objectiveness and accuracy of a research through verification of the interrelationships between firm statue and performance on the basis of more objective and quantitative data such a sales increase or R&D capability of cooperation firms.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.141-146
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• 2019

Economic analysis predicts that the drone market will grow, and the growth of the toy and hobby drone market is expected to gradually expand. Drone expectations are rising due to the net economic function of drone market growth, but accidents due to improper management and operations are also increasing. The difference in toy drone performance is incomparably small compared to industrial drone performance, but the ordinary buyer can not know whether the difference can cause an accident during use. The toy drones used in this study were obtained from KC and CE certification, and 20 kinds of drones were used. The flight time ranged from a minimum of 3 minutes to a maximum of 12 minutes, and the control distance ranged from a minimum of 20m to a maximum of 380m. Therefore, it is necessary to secure product safety through sampling inspection of the radio wave output of toy drones, and it is also necessary to mount an algorithm that automatically lowers the altitude or hover when exceeding the limit flight distance. For future research, we will build data to establish toy drone safety standards through a altitude testing and impact testing of toy drone.

• Journal of the Korean Society for Railway
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• v.15 no.3
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• pp.286-293
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• 2012

Korean government is enforcing 'Greenhouse gas target management' in order to achieve Greenhouse gas reduction target. To attain Greenhouse gas reduction target, companies in Korea must establish their GHG inventory system and analysis their GHG emissions characteristics for deduction of mitigation measures. LMDI(Log Mean Divisia Index) decomposition analysis is widely used to understand characteristics of GHG emission and energy consumption. In this paper, the characteristics of GHG emission from the line of railroad in Korea is respectively analyzed in terms of conversion effect, intensity effect, production effect and distance effect. Data of railroad GHG emission from 2000 to 2007 are used. As a result, total effect of railroad's GHG emission is $96,813tCO_2eq$. Production effect ($39,865tCO_2eq$) and distance effect ($327,923tCO_2eq$) affect increase of railroad GHG emissions while Conversion effect ($-158,161tCO_2eq$) and intensity effect ($-112,814tCO_2eq$) influence decrease of the emissions.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.583-598
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• 2022

As human-based tunnel inspections are affected by the subjective judgment of the inspector, making continuous history management difficult. There is a lot of deep learning-based automatic crack detection research recently. However, the large public crack datasets used in most studies differ significantly from those in tunnels. Also, additional work is required to build sophisticated crack labels in current tunnel evaluation. Therefore, we present a method to improve crack detection performance by inputting existing datasets into a deep learning model. We evaluate and compare the performance of deep learning models trained by combining existing tunnel datasets, high-quality tunnel datasets, and public crack datasets. As a result, DeepLabv3+ with Cross-Entropy loss function performed best when trained on both public datasets, patchwise classification, and oversampled tunnel datasets. In the future, we expect to contribute to establishing a plan to efficiently utilize the tunnel image acquisition system's data for deep learning model learning.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.160-167
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• 2021

This study was conducted to empirically analyze the prevalence and risk of chronic diseases in the family history of chronic diseases using data from the Korea National Health and Nutrition Examination Survey 2019. Based on 5,691 people, after controlling for socio-demographic variables that were related to family history of chronic diseases, logistic regression analysis was performed to verify the odds ratio, which was the risk of family history of chronic diseases for the prevalence of chronic diseases. The main results were founded that Odds ratio, which was the risk of chronic diseases in groups with a family history compared to those without a family history, was statistically significant at hypertension(2.623), dyslipidemia(1.868), diabetes(1.964), and arthritis(1.435) when gender, age, income status, education level and residence were controlled. These results suggest that it is not only necessary to develop a standardization tool for family history tests, but also a health and disease management system for members with a family history in terms of preventive medicine in health care. This study is significant in that it proposed a practical plan in terms of health care by controlling variables that affect the prevalence of chronic diseases and empirically identifying the risk of family history of chronic diseases.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.247-254
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• 2021

As COVID-19 spread, non-face-to-face activities were required, and the use of service robots is gradually increasing. This paper analyzed the relationship between the increasing trend of service robots before and after COVID-19 through keyword search containing the keyword 'service robot AND non-face-to-face' over the past three years (2018.10-20219) using BigKines, a news big data analysis system. As a result, there were 0 cases in the first period (2018.10~2019.9), 52 cases in the second period (2019.10~2020.9) and 112 cases in the third period (2020.10~2021.9), an increase of 115% compared to the second period. The keywords commonly mentioned in the analysis of related words in the second and third periods were COVID-19, AI, the Ministry of Trade, Industry, and Energy, and LG Electronics, and the weight of COVID-19 was the largest, confirming that the analysis keyword. Due to the spread of Corona 19, non-face-to-face is required, and with the development of information and communication technology, the field of application of service robots is rapidly increasing. Accordingly, for the commercialization of service robots that will lead the non-face-to-face economy, there is an urgent need to nurture human resources that require standardization and expertise in safety and performance fields.

• International Area Studies Review
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• v.15 no.3
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• pp.513-532
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• 2011

Green supply chain management(GSCM) has emerged as a key approach for firms seeking to become sustainable environmentally. GSCM is a system in which the firm takes life cycle responsibility of the products through material recycling, environment-friendly production, and reverse logistics in addition to the classical operations in a supply chain. This paper endeavors to identify the relationship between the GSCM practice implementation and firms' performance among a sample of Korean manufacturing firms. Based on a literature review, eight hypotheses are put forward. First of all, a factor analysis was conducted to derive groupings of GSCM practice from the survey data which included 54 responses. Then, the first regression was conducted to examine the link between GSCM practice implementation and firms' financial performance. The result shows that green purchasing and green production are significant. The second regression was conducted to examine the impact of GSCM practice implementation on the firms' competitiveness. The result reveals that green purchasing, green production, and reverse logistics are positively signifiant.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.370-379
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• 2018

This study was conducted 1) to investigate the effects of treatment and other factors on the quality of life of thyroid cancer surgical patients and 2) to provide fundamental data for development of an intervention and symptom management program to improve the quality of life of those patients. A total of 76 patients who were diagnosed with thyroid cancer and underwent thyroidectomy from July 2013 to December 2014 participated in this study. To investigate the factors affecting quality of life, a t-test and ANOVA analyses were conducted, after which multiple regression analysis was performed. The results were statistically significant between preoperative and one month after surgery of sex, cancer history, fatigue, and quality of life until 3 months after surgery of stage, cancer history, anxiety, and pain. Multiple regression analysis showed that the most influential factors affecting the quality of life were depression and fatigue at one month prior to and after surgery and anxiety at three months after surgery, while no factors were found to be influential at six months after surgery. Overall, the results of this study suggested that it is imperative to manage depression and fatigue one month prior to and after surgery to reduce the physical and psychological pain experienced by thyroid cancer patients. Moreover, three months after the surgery, anxiety should be closely monitored and controlled to improve the quality of life of the patients. This approach is expected to reduce the burden on the health care system and social costs, which will positively affect public health.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.604-609
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• 2019

A variety of complaints about road signs have occurred for various reasons, such as new road facilities, new road signs such as road name signs, and an increase in nearby important facilities. In addition, there are many road signs that are in violation of road sign regulations. The basic principles of road signs, the connectivity of guide names, the location suitability, and a consistent road sign guidance system have not implemented. To solve these problems, various errors were investigated on major road signs on eight national highways, including direction signs, distance signs, boundary signs, and route signs. In addition, we classified the errors on road signs by grade to give them maintenance priority. We also analyzed the error status of signs for each route and grade. Based on the data, the problems of the road signs were derived, and an improvement plan is discussed. Based on this research, more systematic installation and management of road signs through cooperation between the government and local governments could increase the efficiency of road signs, as well as provide safer and more convenient road sign guidance systems for road users.