• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.174-180
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• 2021

The necessity of this study is as follows. A decrease in the number of newborns, an increase in the youth unemployment rate, and a decrease in the employment rate are having a fatal impact on universities. To help increase the employment rate of universities, we intend to utilize Big Data of university public information. Big data refers to the process of collecting and analyzing data, and includes all business processes of finding data, reprocessing information in an easy-to-understand manner, and selling information to people and institutions. Big data technology can be divided into technologies for storing, refining, analyzing, and predicting big data. The purpose of this study is to find the vision and special department of a university with a high employment rate by using big data technology. As a result of the study, big data was collected from 227 universities on www.academyinfo.go.kr site, We selected 130 meaningful universities and selected 25 universities with high employment rates and 25 universities with low employment rates. In conclusion, the university with a high employment rate can first be said to have a student-centered vision and university specialization. The reason is that, for universities with a high employment rate, the vision was to foster talents and specialize, whereas for universities with a low employment rate, regional bases took precedence. Second, universities with a high employment rate have a high interest in specialized departments. This is because, as a result of checking the presence or absence of a characterization plan, universities with a high employment rate were twice as high (21/7). Third, universities with high employment rates promote social needs and characterization. This is because the characteristic departments of universities with high employment rates are in the order of future technology and nursing and health, while universities with low employment rates promoted school-centered specialization in future technology and culture, tourism and art. In summary, universities with high employment rates showed high interest in student-centered vision and development of special departments for social needs.

• Communications for Statistical Applications and Methods
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• v.16 no.4
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• pp.639-645
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• 2009

Fractional Brwonian motion(fBm) has properties of behaving tails and exhibiting long memory while remaining Gaussian. In particular, it is well known that interest rates show some long memories and non-Markovian. We present no aribitrage condition for HJM model under the multi-factor fBm reflecting the long range dependence in the interest rate model.

• Journal of Fashion Business
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• v.15 no.5
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• pp.15-27
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• 2011

This article was examined that the behavior of which they select hair equipment and a product may be significantly influenced by an interest in appearance during adolescence. This study was presented that according to gender, a girl student has higher confidence in appearance than a boy student, and also the higher the confidence in the girl's appearance, and they use more hair products. Moreover, the boy students are higher in than a girl student in the rate of dependence on hair equipment, so the boy students intend to use hair equipment. Therefore, this study was presented that the gender and an interest in appearance is important variables which influence to hair fashion of adolescence on an equipment and a product during presenting a hair-style, an interest in appearance of adolescence significantly influences on explaining the degree of hair equipment and leverage products as well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.1
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• pp.157-176
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• 2011

An interest-based P2P constructs the peer connections based on similarities for efficient search of resources. A clustering technique using peer similarities as data is an effective approach to group the most relevant peers. However, the separation of groups produced from clustering lowers the scalability of a P2P network. Moreover, the interest-based approach is only concerned with user-level grouping where topology-awareness on the physical network is not considered. This paper proposes an efficient scalable search for the interest-based P2P system. A scalable multi-ring (SMR) based on fuzzy clustering handles the grouping of relevant peers and the proposed scalable search utilizes the SMR for scalability of peer queries. In forming the multi-ring, a minimized route function is used to determine the shortest route to connect peers on the physical network. Performance evaluation showed that the SMR acquired an accurate peer grouping and improved the connectivity rate of the P2P network. Also, the proposed scalable search was efficient in finding more replicated files throughout the peer network compared to other traditional P2P approaches.

• The Korean Journal of Food And Nutrition
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• v.34 no.5
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• pp.506-515
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• 2021

This study aimed to investigate the association between interest in beauty care and dietary behaviors of 581 (analysis rate 96.0%) high school girls in Incheon using a survey done in May 2019. Based on the degree of interest in beauty care, subjects were classified as "Beauty care group (n=346)", and "Non-beauty care group (n=235)". The mean age of the subjects was 16.5 years old. The beauty care group had significantly lower BMI than the non-beauty care group (p<0.01). The beauty care group showed a significantly higher interest in weight control than the non-beauty care group (p<0.001). The most time-consuming preschool morning activity in the beauty care group was beauty care, while that of the non-beauty care group was eating breakfast (p<0.001). The beauty care group had significantly higher frequency of exercise than the non-beauty care group (p<0.05). The number of individuals who skipped breakfast was significantly higher in the beauty care group. In addition, the beauty care group had a significantly higher frequency of taking morning snack, convenience food (p<0.01), sweet snacks (p<0.05), and processed beverages (p<0.05) than the non-beauty care group. Our result findings provide important information on the priority groups for nutrition education based on beauty care interest.

• Journal of Navigation and Port Research
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• v.44 no.2
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• pp.119-127
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• 2020

In this study, the current state of management efficiency of ocean carriers in Korea and the factors affecting them were analyzed. The purpose of this research is to enhance global competitiveness of ocean carriers by presenting suggestions that can improve management efficiency based on the analysis results. The measurement of management efficiency was made using the DEA model. The results of testing the adequacy of the input and output variables used are as follows. Appropriate inputs are total assets, cost of goods sold, charter expenses, sales and general management expenses, and interest expenses. Appropriate variables are sales, operating income, and operating cash flow. According to the analysis results of the DEA model by these variables, inefficient carriers (78%) are nearly four times more than efficient carriers(22%). However, container carriers have the most improved management efficiency compared to 2016 and 2017. According to the panel regression analysis, the charter rate has the greatest negative impact on efficiency (CRS), and the debt rate has a significant negative impact. Thus, it appears that reducing the charter size and the debt-to-sale rate facilitate improvement of the management efficiency of ocean carriers. Additionally, the pre-sales tax return rate, value added rate, total asset turnover rate, and the scale variable and interest coverage rate have a positive (+) effect. Thus ocean carriers should restore their global competitiveness by improving management efficiency by securing stable cargoes increasing sales profitability from the cost management perspective, increasing productivity, and enhancing the efficiency of their total assets through efficient fleet management.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.13-16
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• 2019

While the Chinese banks have started the impact of foreign banks. At the same time, rising pressure on foreign exchange reserves and appreciation of the renminbi has prompted Chinese banks to go abroad and diversify their risks. The financial crisis of 2008 has caused the continued turbulence of the major financial markets around the world, and the valuation of foreign financial institutions has been drastically shrinking, providing opportunities for Chinese banks to carry out overseas M&A. Based on the overseas M&A status of Chinese commercial banks, this paper sums up the characteristics of the overseas M&A. Then taking a series of overseas M&A conducted by ICBC from 2006 to 2011 as an example, it analyzes the relationship between M&A and performance growth using grey incidence model. The test shows: there is a positive correlation between both overseas M&A and interest rate differential with performance growth of ICBC, and overseas M&A transactions role in promoting the performance growth is significantly higher than the interest rate differential.

• The Korean Journal of Financial Management
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• v.25 no.1
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• pp.85-108
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• 2008

In this paper, the fBm interest rate theory is investigated by using Wick integral. The well-known Affine, Quadratic and HJM are derived from fBm framework, respectively. We obtain new theoretical results, and zero coupon bond pricing formula from newly obtained probability measure.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.3
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• pp.249-256
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• 2000

Bond immunization model is used to minimize interest rate risk for investing in fixed-income market, the model equalizes asset and liability values using the duration which is the sensitivity of portfolio value with respect to the interest rate. However this model might generate an error in practice because the model is based on unreal hypothesis, so called "Parallel Shift Term Structure". In this paper, we use the neural network approach to overcome the parallel shift term structure and try to employ this term structure function to the traditional immunization model. Finally, we present some computational test results that show the superiority of the partial immunization model to the traditional methods.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.05a
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• pp.40-44
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• 2005

For an increasing interest on environment and a reinforcement of regulation, reverse supply chain is getting more interest recently In this study, reverse supply chain model of the automobile industry is designed using system dynamics. Using this model, an enterprise can do various analysis to get better understanding in strategic and operational aspect. The impact on supply chain which is caused by the variation of remanufacturing rate and recycle rate as time changes can be analyzed. Also environment image of the enterprise can be analyzed in quantitative manner to make it easy to set up own strategic plan.