• 대한공업교육학회지
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• v.38 no.2
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• pp.68-88
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• 2013

This study is to analyze teacher's recognition and needs of STEAM education in specialized high schools for technical fields. For this study, survey using questionnaire was applied to teachers in specialized high schools for technical fields. This study includes the recognition and the needs on STEAM education of general and industrial subject teachers in specialized high schools for technical fields. In order to carry on this study, 655 questionnaires were collected from teachers of 16 specialized high schools for technical fields in the whole country. Practically, 611 questionnaires (257 of normal subject teachers and 398 of industrial subject teachers) were used for this study. As a result, it is known that the needs of STEAM education is larger to industrial subject teachers than general subject teachers. But it is disclosed that STEAM education is more difficult to general subject teachers than industrial subject teachers. In requirements of teaching-learning, general subject teachers only required reference materials, but industrial subject teachers needed STEAM lesson under the same subjects and data sharing system as a priority. General and industrial subject teachers also considered education program development for creative thinking skills and problem solving abilities as a priority. Finally, in the administrative and financial requirement, both of them demand to reduce administrative tasks as a priority.

• Journal of the Korean Home Economics Association
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• v.41 no.1
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• pp.231-248
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• 2003

The purpose of this research is to analyze ‘consumer education system in middle school’, whether it is suitably organized to help students make the right decision in their daily life as a rational consumer in this fast changing “the Informational Society”. We divided the consumer education of “the Informational Society” into 4 fields of studies(consumer information technique, decision making on purchasing, consumer financial management, and consumerism) and made specific analysis for this research. The “Technology & Home Economics” textbook which follows ‘The 7th curriculum’ conducted by “Korean Educational Board” Ministry of Education & Human Resources Development for first and second grade in middle school were used for this analysis. The results founded are as follows: first, for the curriculum analysis according to the 4 fields of consumer education, both the first and the second grade students' textbook had consumer information technique as the major portion of the consumer education. Second, as a result of the comparison between the two grade levels showed that the second grade level has higher portion of consumer education in “Home economics & Technology” textbook than the first grade level. Third, the present status of consumer education showed that the first grade level's consumer education was only limited in consumer information technique, but the second grade level's consumer education was ranging evenly throughout the 3 fields of consumer education: consumer information technique, decision making on purchasing and consumerism. These results of this study contribute to the development of an efficient and desirable curriculum for the adolescent' consumer education, specially for school consumer education, in “the Informational Society”.

• Korea Trade Review
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• v.45 no.6
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• pp.133-156
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• 2020

This study analyzed the research trend of the papers in the field of customs clearance published from the first issue of the Korean Trade Review to the August 2020 issue. The research method used mixed methods. This method uses both quantitative and qualitative methods, and is a research method to make use of the strengths and weaknesses of each research method. The quantitative study results are as follows. First, an average of 0.7 papers were published for the entire period, but since 2006, an average of 1.2 papers have been published, and the overall interest is increasing. Second, in the case of researchers, the proportion of joint research was slightly higher, with 43.8% of independent research and 56.2% of joint research. In particular, the ratio of 3 or more people is also increasing to 21. Third, looking at the trends by research subject, it was found that among the research fields, there were relatively more studies in the fields of FTA, country of origin, and CISG than in the fields of tariff policy, tariff system and legislation. Fourth, Domestic studies accounted for 75.2% and overseas studies 24.8%, with a high proportion of domestic studies, 13.4 articles in domestic literature, 12.2 articles overseas, and 40 articles supporting research funding. The results of qualitative research need to secure diversity in terms of the generality and specificity of the research topic, and that research in industry-academia or public-private connection should increase, and research from the point of view of "why" rather than "how" Suggested that it is necessary.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.175-186
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• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support fer multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To date, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques' results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.3
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• pp.512-534
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• 2016

This paper is to see what appears to be an economic crisis as urban crisis, to explore its emerging process and its major distinctive figures in the context of S. Korea, and to consider alternatives to overcome such an urban crisis. For this purpose, it first tries to show that the capitalist economic development (i.e. capital accumulation) has been stimulated and driven largely by extending investments into built environments. Then it analyzes how crises of overaccumulation, coupled with other crises such as the IMF crisis in 1997 and the financial crisis in 2008 which have been brought about by serious impacts of foreign financial capitals working on the global level, have led to accumulating of huge surplus reserves within both big companies and the central government on the one hand, increasing tremendously debts of households as well as government and private companies on the other. In particular, the debt crisis seems to be accelerated by fictitious capital generated through government's financial strategies to promote both supplies and demands in housing and property markets. There seem several ways of overcoming the urban crisis spiraled around accumulating surplus capital and increasing financial debt; raising real income, moderating investments into built environment, and increasing inputs into the fields of technology and well-being. In order to open up these ways, it is concluded, recent urban movements in terms of the right to the city are required not only to make the government and capital to do so, but also to realize interest of urban people who have produced such surplus but who are suffering from the debt crisis.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.175-186
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• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support for multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To data, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.73-78
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• 2019

Recently, there is a need to introduce a Korean-style restriction sandbox system that exempts or suspends existing regulations so that new products or services based on new technologies can be commercialized without restrictions. In response, the government reorganized the relevant statutes to promptly check regulations centering on four fields, including industrial convergence, ICT, FinTech, and regional innovation growth, and to allow experimental, proof and market releases by setting certain conditions(zone, period, scale, etc.). However, despite the same regulatory sandbox application, depending on the nature of the field applied, differences in application subject, whether application of regulatory specifics, system of push ahead decision-making and whether support of financial and taxation are shown. This research is intended to present efficient operation measures for successful settling of Korean-style regulation sandboxes by comparing and analyzing, centering on the Industrial Fusion Promotion Act in the Industrial Convergence Field, ICT field's Information and Communication Convergence Act, FinTech field's Financial Innovation Act and Regional Special Zone Act in the Regional Innovation and Growth Sector.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.492-497
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• 2020

Today, banks around the world are making great efforts to adapt to the rapidly changing internal and external environment changes caused by the development of IT technology and to gain a competitive advantage in the market. In particular, in line with the rapid growth of smartphone usage, financial services are also provided in a variety of ways using Fintech, and one of the fastest growing areas is mobile simple payment. Mobile payment service is a financial service that pays the purchase price using a portable mobile device. As fintech, a convergence of financial services and information technology, it is recently used not only in financial services, but also in various industries. It is used in all fields where payment functions such as distribution are available. In the case of mobile cards, it shows that the usage rate of people in their 20s and 30s is increasing very much, so it can be said that the use of mobile payment services will continue to increase in the coming future. We know that simple payments are being used. However, it can be said that the research on the use of mobile payment services by these teenagers is somewhat incomplete. Therefore, this study investigated what factors are important for Korean teenagers to use mobile payment services. As a result, among the five hypotheses presented in this study, all hypotheses were adopted except for , which states that cash usage habits have no effect on innovation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.1
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• pp.31-41
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• 2018

The purpose of this study is to look at the difference between the importance and the satisfaction with respect to government startup aid programs perceived by entrepreneurs to improve the effectiveness of government startup aid policy and verify the causal relationship between startup aid project and business performance. In this respect, this study aims to look at the impact of entrepreneurs' perceived satisfaction over government startup aid programs on startup business performance. Major study findings from this study are as follows. First, as a result of testing statistical significance of the difference between importance and satisfaction in startup education, facility/space, consulting, or fund support field, respectively in start-up assistance project, it appeared that there was a significant difference in all fields. In addition, fund support was the field that showed the biggest difference between importance and satisfaction. Second, the results of IPA (importance-performance analysis), which displays relative importance and performance of start-up assistance project on four quadrants so that entrepreneurs can evaluate which start-up assistance projects they think important and which projects they are satisfied with by themselves are as follows. Let us summarize the distribution of start-up assistance project on four quadrants in the first place. Facility/space support project is distributed in the 1st quadrant that requires ongoing maintenance; start-up funding program in the 2nd quadrant that requires concentrated improvement; consulting support project in the 3rd quadrant that requires limited use at low priority; and start-up education support project in the boundary between the 3rd quadrant that requires limited use and the 4th quadrant that requires rejection against unnecessary items. Third, the results from multiple regression analysis to identify the impact of satisfaction with government startup aid programs over business performance are as follows. As a result of analyzing the influence relationship between government startup aid program and financial performance, it appeared that satisfaction with facility/space had a positive (+) impact on financial performance. This suggests that the higher the satisfaction with facility/space, the higher the financial performance. As a result of analyzing the influence relationship between start-up assistance project and non-financial performance, it appeared that satisfaction with startup education had a positive (+) impact on non-financial performance. This suggests that the higher the satisfaction with startup education, the higher the non-financial performance.

• Journal of Korean Institute of Industrial Engineers
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• v.3 no.2
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• pp.29-40
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• 1977

Some of the steel works and machine tool manufacturers representing the whole spectrum of these industries in Korea are surveyed with a viewpoint from total quality control. The operation of quality control system in these fields has been found to be unsatisfactory partly because these industries are relatively young compared with those in advanced foreign countries, and partly because there have been insufficient financial and top management support. Some suggestions are made for the improvement of steel and machine tools quality. One of them is introducing the industrial engineering techniques, with additional quality control costs and full management support, into the company-wide quality control system.