• Journal of the Korean Society for Railway
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• v.17 no.5
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• pp.349-354
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• 2014

Other foreign countries already apply ETCS LEVEL 2 in signaling systems. It provides added functions to control a train using wireless communication compared with ETCS LEVEL 1. Nowadays, the ETCS LEVEL 2 system is being applied on revenue services more and more frequently. Therefore, it is necessary to develop ETCS LEVEL 2 to apply in this country. The advanced technology of the ETCS LEVEL 2 system provides continuous control for train protection, and ATP function, by comparing discontinuous controls on ETCS LEVEL 1. ETCS LEVEL 2 is a better system model for improving passenger safety. This paper describes the design of an onboard speed profile for the ETCS LEVEL 2 system and it forecasts the future of ETCS.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.353-363
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• 2021

This study analyzed to provide information for business improvement by analyzing the management efficiency of start-up investment companies so that startup investment companies can operate efficiently and by presenting information on inefficient factors. From 2014 to 2018, 83 start-up investment companies were analyzed using the DEA model. Input variables were he number of employees, capital, and output variables were selected for start-up investment assets, operating income, and net profit. As a result of the analysis, technical efficiency and pure technical efficiency showed a pattern with an increase in average, but scale efficiency repeatedly increased and decreased. It is believed that the decline in technology efficiency was due to the decrease in pure technology efficiency, and the inefficiency of start-up investment companies seems to have influenced the inefficiency of start-up investment companies rather than the inefficiency of scale. In addition, the size revenue shows that the DRS value is gradually decreasing, and the IRS value is generally increasing. It is believed that efficiency can be improved if operational inefficiency is improved based on the results and efficiency measures are established through scale expansion.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.127-133
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• 2019

A callable product is one of service derivatives using options to generate demand and reduce risk. This paper compares two booking admission controls for callable products, the online and the batch admission controls. To this end, the paper computes the optimal booking policy by using the backward dynamic programming and the stochastic optimization method. Intuitively, the provider should outperform under the batch control by utilizing demand information. The contribution of the paper is to show that the two controls are equivalent in terms of the booking strategy and the expected profit, which enables the provider to keep its current control method. The paper develops the closed-form solutions for the three fare classes. The future work is to extend the result to the model with complicated fare structures.

• Convergence Security Journal
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• v.18 no.5_1
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• pp.11-17
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• 2018

The number of certificates in Korea is about 32,364(2018.09). There are 252 national technical qualifications, 149 national professional qualifications, 99 public private qualifications, and 31,894 private qualifications. The purpose of this study is to examine the process by which KAITS ISE is created. The course was examined and formalized for 10 years from the establishment of KAITS to the first test. As a result of the research, (1) Preparatory considerations (2) Development of qualifications framework (3) Job analysis and drafting (4) Development of problem banks (5) Design of curriculum (6) Development of verification strategy (7) Execution of verification (8) Revenue plan (9) Expansion of qualification demand (10) Opinion formation. After that, the module of the creativity is studied. It is expected that it will be used as a model for certification development in industry security consulting experts.

• Korea Trade Review
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• v.44 no.2
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• pp.109-126
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• 2019

Import refusals can be considered a new method of non-tariff barriers. This study aims to analyze reputation spillover effects on fish and fishery products imported from ASEAN countries to the U.S. FDA. The supply of aquatic products is not stable due to various factors such as reduction of fish stocks and climate change. Fish is a basic food ingested directly, but there are many ways to control the safety of aquatic products. ASEAN countries account for about 20% of U.S.imports in fish and fishery products. For Southeast Asian countries, fish and fishery products comprise a high proportion of exports revenue. Despite the large share of exports to the U.S., Southeast Asia countries have been receiving many import refusals from the United States. In this study, a theoretical model for examining import refusals is suggested using the negative binomial counting process. The reputation spillover effect, was divided into two spillover effects of 'neighbor reputation' and 'sector reputation'. Results show that there exists a neighbor reputation spillover effect. It can be said if there was a import refusal of the same product from neighboring countries in the preceding year, the home country have a possibility to experience import refusals of the same product. Therefore, it is interpreted that neighboring countries have good standard compliance can help home countries to effectively reach the target markets. Our findings have a important policy implication for ASEAN exporters of fish and fishery products.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.171-177
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• 2021

Through the rapid developments in machine learning, there have been diverse utilization approaches not only in industrial fields but also in daily life. Implementations of machine learning on financial data, also have been of interest. Herein, we employ machine learning algorithms to store sales data and present future applications for fintech enterprises. We utilize diverse missing data processing methods to handle missing data and apply gradient boosting machine learning algorithms; XGBoost, LightGBM, CatBoost to predict the future revenue of individual stores. As a result, we found that using median imputation onto missing data with the appliance of the xgboost algorithm has the best accuracy. By employing the proposed method, fintech enterprises and customers can attain benefits. Stores can benefit by receiving financial assistance beforehand from fintech companies, while these corporations can benefit by offering financial support to these stores with low risk.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.153-161
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• 2022

This paper analyzes the economic effects when platform provider including CP contributes to broadband universal service and uses broadband bandwidth providing high quality network service. In this model, the contribution rate of broadband universal service is determined by ISP and platform provider sets its price of contents. The main results are as follows. First, the traffic usages is less than social optimum when the market of contents is monopoly. The sum of contribution fee and network usage rate must be less than marginal cost of network operation to get social optimum traffic. Second, the rate set by ISP is equal to social optimum when the market of contents is competitive. Third, when platform provider does not charge contents provided, ISP sets social optimum prices and the network usage rate for contents user is decreasing as advertisement revenue becomes larger. These results suggest that the platform provider should contribute to universal service funding to encourage the network investment of ISP.

• Journal of Korea Trade
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• v.23 no.5
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• pp.45-65
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• 2019

Purpose - As the well-known Structure-Conduct-Performance paradigm implies, risk structure of a corporation may affect its risk management activity and the activity may in turn determine its performance. Depending on its goal, Foreign Direct Investment (FDI) can shape its risk structure, risk management and its performance. Under this assumption, we investigate the relationship between the goals of FDI and risk management for the first time in academics. Design/methodology - This empirical research uses a survey of 279 current Korean enterprises' FDIs in China with the recently developed business risk quadrant model. Companies are classified into either a market- or an efficiency-seeking group, to identify how each group perceives and manages risks, and values the performance of risk management. Also, we apply integrated risk management method that multinational corporations have introduced in China, then verify the mediating effect between risk factors and performance. Findings - Our research shows the FDIs can expose themselves to differing risk structure although risk management activities simply represent the level of empowerment given to local management by headquarter due to limit of sample size despite diversity of risk and risk management tools. To sum, market seekers are found to have more strategic risk (revenue related risk) than efficiency seekers with financial risk (cost related risk). The market seekers can manage their risk by empowering their local organisation while the efficiency does the opposite ways. The risk management appears to be successful in general. Originality/value - Previous studies on small and medium enterprises' FDIs to China have concentrated on the analysis of entry determinants, withdrawal factors and individual risk management. Meanwhile, this research establishes enterprise-wide risk factors faced by the companies that advance into China, according to the method of the classification by ERM and verifies if they could synthetically improve performance through risk corresponding measures.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.15-28
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• 2023

Boundary Station is an evaluation index that was not reflected in the Seoul Metropolitan Urban Railroad Connected Eare Allocation. Boundary station is a station located at the boundary point of two transportation agencies sharing the same route, and track operation methods are divided into business management and maintenance management. Until now, the Connected Fare Allocation has evaluated the boundary stations from the perspective of business management. Meanwhile, the integrated public transportation fee system requires the need to interpret the boundary stations from the point of view of maintenance management at the developmental level. This study was prepared a measure to quantitatively analyze changes in income with the introduction of maintenance methods in mind. The Change in the income of operation agency evaluated based on the daily transportation card data for the boundary stations of the four Seoul Transportation Corporation and KORAIL sections. This study is meaningful as a basic research for an analytical judgment that evaluates and allocates changes in transportation income of Seoul Metropolitan Urban Railroad in the future.

• Industry Promotion Research
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• v.8 no.3
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• pp.201-210
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• 2023

This study is based on data ecology theory and takes Chinese local governments' open public data as the research object. Data asset value assessment methods are compared from a new perspective of data business operations. The results show that the assessment model constructed using the hierarchical analysis method (AHP) can more objectively reflect the commercial value of government open data assets than the traditional cost, revenue and market methods, has the advantage of a comprehensive assessment of data value index, and better reflects the findings of a comprehensive index of regional data value. The data show that the local government data value assessment index is positively proportional to the region's digital economy development index, highlighting the driving effect on the digital economy. The results of the study provide a good help for the identification of local government data value rights. The research and practice of promoting the construction of data innovation and data business operation models, improving social well-being and promoting the rapid development of the digital economy to achieve data realisation provides a good reference.