• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.793-802
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• 2013

There are many problems to single sports talents out of test applicants. The physical activity promotion system has been performed to all elements school students of both 5 and 6 grades in order to evaluate overall health and physical activities since 2009. This system includes some variables which could measure the students' sports latent power, so that the system could be used to single out sports talents. In this work, we propose a primary screening method that element school teachers might evaluate sports talents based on the data of the physical activity promotion system. Two more sports talent indices which are sports flexibility index and sports endurance index are defined. The selection method of sports talents is developed by using sports latent indices including sports power and cardiorespiratory indices. This method is efficient from the view of time and cost aspects, since we do not need to remeasure all elements school students again.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.287-295
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• 2017

Since Google's AlphaGo defeated a world champion of Go players in 2016, there have been many interests in the deep learning. In the financial sector, a Robo-Advisor using deep learning gains a significant attention, which builds and manages portfolios of financial instruments for investors.In this paper, we have proposed the a deep learning algorithm geared toward identification and forecast of the KOSPI index direction,and we also have compared the accuracy of the prediction.In an application of forecasting the financial market index direction, we have shown that the Robo-Advisor using deep learning has a significant effect on finance industry. The Robo-Advisor collects a massive data such as earnings statements, news reports and regulatory filings, analyzes those and recommends investors how to view market trends and identify the best time to purchase financial assets. On the other hand, the Robo-Advisor allows businesses to learn more about their customers, develop better marketing strategies, increase sales and decrease costs.

• Journal of The Geomorphological Association of Korea
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• v.21 no.4
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• pp.133-147
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• 2014

Reducing the range of target landform, is required to save the time and cost before real field survey in the case of inaccessible landform such as talus. In this study, Weight of Evidence modeling, which is a Target-driven spatial analysis statistics methods, has been applied to reduce the field survey range of target landform. In order to apply the Weight of Evidence analysis, a likelihood ratio was calculated on the basis of the result of correlation analysis between geomorphic factors and GIS information after selection of geomorphic factors regarding talus. A best combination, which has the biggest possibility for Talus Potential Index, was found by using SRC and AUC methods after calculating the number of cases for each thematic maps. This combination which includes aspect, geology, slope, land-cover, soil depth and soil drainage factors, showed quite high accuracy by 74.47% indicating the ratio of real existent talus to potential talus distribution.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.6-6
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• 2019

상수관망시스템은 공급원으로부터 수요처까지의 용수공급을 위해 구축된 관수로 기반의 사회기반시설물로서, 주로 생활 및 산업 용수를 공급하므로 대규모 사회 경제적 피해를 방지하기 위해서는 안정적인 용수공급 능력이 요구된다. 네트워크의 다양한 특성에 의해 표현되는 상수관망시스템의 신뢰도(reliability)는 크게 시스템 내 구성요소의 안정성(mechanical reliability)과 용수공급의 기능적 안정성(hydraulic reliability)으로 구분할 수 있다. 특히, 시스템의 용수공급 안정성에 주목한 수리학적 신뢰도 연구는 많은 연구자들에 의해 지속적으로 수행된 바 있으며, 다양한 평가방법 및 지표들이 제시되어 활용 중에 있다. 기존의 수리학적 신뢰도 지표들은 주로 수요절점(demand node)에서의 공급가능 수량 및 수압을 바탕으로 산정되었다. 그러나, 절점(node)에서의 공급 상태는 결과에 해당하며, 원인 분석을 위해서는 관로(pipe)의 배치 및 규격을 분석해야 하는 번거로움이 존재한다. 이러한 단점을 보완하기 위해, 본 연구에서는 직접 관로(pipe)의 공급 특성을 분석하여 네트워크의 신뢰도를 평가함으로써, 신뢰도 저하의 원인 분석 및 시스템 개선에 효율적으로 활용할 수 있는 신뢰도 지표를 산정하고자 하였다. 본 연구에서는 상수관로 내 수리학적 기울기가 전반적으로 균등할수록 설계 비용대비 공급 신뢰도, 즉 용수공급 효율이 개선되는 특징을 바탕으로, 네트워크 내 총 에너지 손실로부터 각 관로의 길이, 유량 등의 특성을 고려한 등가 수리경사(Equivalent hydraulic gradient)를 유도하여 모든 관로의 적정 수리경사로 제안하였다. 따라서 각 관로의 실제 수리경사를 대상으로 관로별 수리학적 균등성 지수(pipe hydraulic uniformity index)를 산정하였으며, 더 나아가 전체 시스템의 균등성 지수(system hydraulic uniformity index)를 산정하였다. 제안된 신뢰도 지표는 가상의 네트워크에서 지역 내 용수 사용량이 증가하는 등 용수공급 안정성을 저해하는 몇 가지 시나리오를 바탕으로 검증하였으며, 또한 기존 지표들의 신뢰도 평가 결과와 비교, 분석하였다. 본 연구는 향후 네트워크 최적 설계의 목적함수로 활용하거나, 네트워크의 보강계획 수립에 기여할 것으로 기대된다.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.36-46
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• 2019

If stock market is efficient, any well-devised trading rule can't consistently outperform the average stock market returns. This study aims to verify whether the strategy based on bid-ask volume information can beat the stock market. I suggested a day trading strategy using order imbalance indicator and empirically analyzed its profitability with the KOSPI 200 index futures data from 2001 to 2018. Entry rules are as follows: If BSI is over 50%, enter buy order, otherwise enter sell order, assuming that stock price rises after BSI is over 50% and stock price falls after BSI is less than 50%. The empirical results showed that the suggested trading strategy generated very high trading profit, that is, its annual return runs to minimum 71% per annum even after the transaction costs. The profit was generated consistently during 18 years. This study also improved the suggested trading strategy applying the genetic algorithm, which may help the market practitioners who trade the KOSPI 200 index futures.

• International Area Studies Review
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• v.21 no.1
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• pp.181-200
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• 2017

This study investigates the impact of exchange rate and exchange rate volatility on the stock prices of eight industries from 2006 to 2015. The first and second exchange rate exposure of these eight industries is estimated with respect to four different exchange rates, namely the US dollar, Japanese yen, European currency unit, and British pound. In exchange rate exposure, stock prices in foods-beverages, paper-wood, electricity-gas, and banks industries are negatively related to exchange rate, whereas stock prices in electrical-electronic equp. and transport-equp. industries are positively related to exchange rate as expected. However stock price in machinery industry is negatively related to exchange rate, which is opposite to the expectation. Negative relationship is found between stock price in chemicals industry and exchange rate. In exchange rate volatility exposure, stock price in paper-wood industry is found to be negatively related to exchange rate volatility. Stock price in banks industry is also negatively related to exchange rate volatility. This result is opposite as expected, because banks are supposed to get more revenue by issuing derivatives related to foreign exchange when exchange rate volatility increases.

• Journal of the Korea Institute of Building Construction
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• v.21 no.4
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• pp.347-359
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• 2021

Recently, construction projects have emerged in the form of program management, which is complicated by the large-scale of construction, and requires astronomical construction costs. In particular, projects that absolutely require management at the program level, such as large-scale construction projects, require overall control of the planned schedule and cost as a set of various projects, including infrastructure. But in Korea, there is no specific management standard for delays in construction. In order to avoid the risk of cost increase and project delay in the program-level construction project, it is necessary to apply more systematic management standards to prevent delay and to take a more preemptive response in the construction process. Therefore, in this study, a delay management index (DMI) was developed to successfully carry out large-scale construction projects at the program level and prevent delays in advance. In addition, case studies were conducted for large-scale construction projects, and a delay prevention system was established for program-level construction projects.

• Resources Recycling
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• v.32 no.1
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• pp.60-66
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• 2023

As supply chain management becomes a key factor in the sustainable growth of the industry, securing minerals at the national or corporate level is becoming important. Depending on the industrial structure, the economic status of each minerals is different and the supply risk is different In this study, to examine the economic status of minerals, an index that can quantify the Industrial Economic Importance by minerals was developed and calculated by reflecting the demand structure and cost weight of each industry. As a result, Li, Al, Cu, Si, Co, Ni, etc. were evaluated as having high industrial importance in Korea. In addition, by industry, Al, Cu, Zn, and Pb for primary metal manufacturing, general machinery, assembly metals,Sn, Ba, Ti, Si and Ga for precision equipment, Si and Ga for semiconductors, and Li, Ni, Co, Si, etc. for electronic components had high industrial importance. Such as Europe and the United States, in order to select Critical-minerals, Korea will need to analyze the economic impact on the domestic industry as well as the risks of supply chain by minerals.

• 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.

• Journal of the Korea institute for structural maintenance and inspection
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• v.11 no.1
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• pp.171-180
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• 2007

Reliability analysis of prestressed steel and concrete(PSSC) girders is conducted for deflection, stress and moment strength limit state. PSSC girder has strong advantages in terms of construction cost and vertical clearance for the span length of over 40 meters. In this paper, example PSSC girders with different span lengths, section dimensions and design stress levels are designed and analyzed to calculate the midspan deflection, stress and the section moment strength. Deflection limit state, stress limit state and strength limit state functions are assumed and the reliability indexes are obtained by Monte-Carlo simulation and Rackwitz-Fiessler procedure. The results show that the reliability of PSSC girder for deflection limit state is appropriately higher than the stress limit state and the reliability for moment strength is significantly conservative.