• International Area Studies Review
• /
• v.12 no.2
• /
• pp.79-97
• /
• 2008

After entering into the WTO in October, 2001, China started opening her bank industry on a full scale and her financial markets from the end of 2006. It is true that the Chinese commercial banks should make efforts to enhance their operational efficiency for adapting the rapid change of financial environments. In this paper, the efficiency of 4 Chinese state-owned commercial banks and 11 share holding commercial banks has been estimated. Our Tobit model to find out the determinants of these banks' efficiency. The results are as follows: The efficiency of these banks kept being improved from 1999 to 2003. With regard to the relationship between the determinants and the bank efficiency, their capital ratios, ownership structures and government subsidies are significant at the 5% level while the return on asset(ROA) is significant at the 10% level. The relationship between the determinants and the efficiency has showed that the size, capital ratios, ROA and ownership structure showed significantly before the entry to WTO, on the other hand, after WTO their capital ratios are the only factor to determine their efficiencies.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.5
• /
• pp.1079-1090
• /
• 2012

As the number of information asset and their vulnerabilities are increasing, it becomes more difficult for network security administrators to assess security vulnerability of their system and network. There are several researches for vulnerability analysis based on quantitative approach. However, most of them are based on experts' subjective evaluation or they require a lot of manual input for deriving quantitative assessment results. In this paper, we propose HRMS(Hacking and Response Measurement System) for enumerating attack path using automated vulnerability measurement automatically. HRMS can estimate exploitability of systems or applications based on their known vulnerability assessment metric, and enumerate attack path even though system, network and application's information are not fully given for vulnerability assessment. With this proposed method, system administrators can do proactive security vulnerability assessment.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.4
• /
• pp.71-82
• /
• 2021

In this study, a novel method for monitoring road pavements using the Mobile Mapping System (MMS) and a deep learning crack detection system was presented. Furthermore, an optimal maintenance method through economic analysis was presented targeting the pavement section of Sejong City. As a result of monitoring the pavement conditions, it was confirmed that the pavement ratings were good in the order of national highways, municipal roads, and roads of provinces. In addition, economic analysis using the pavement deterioration model showed that micro-surfacing, one of the preventive maintenance methods, is the most economical in terms of maintenance costs and user benefits. The results of this study are expected to be used as fundamental reference for local governments' infrastructure management plans.

• Journal of the Korea Convergence Society
• /
• v.12 no.11
• /
• pp.311-317
• /
• 2021

This study is a qualitative study for "Seung-mu" of Song, Jae-Sub, who has been designated as Intangible Cultural Heritage No. 15 by Daejeon City, performed by literature research. The significance of this study is to examine the life and to understand the performance of Bup-Woo Song Jae-Sub, the Seung-mu performer, and to supply the knowledge of the dance moves, rhythm, and materials of the Seung-mu. Song Jae-Sub's Seung-mu is characterized by a soft appearance, and the process of assimilation and conformity to nature is melted into the dance moves, and it contains the aesthetics of humility that puts the opinions of others before oneself. Furthermore, Song Jae-Sub's Seung-mu is characterized by his humility and flexibility expressed through dance.

• Journal of Industrial Convergence
• /
• v.20 no.7
• /
• pp.13-20
• /
• 2022

This study aimed to provide basic data for the development of local cultural festivals by verifying whether regional cultural unity moderates the link between storytelling and brand assets for festival visitors. The survey was conducted with 431 visitors who participated in the S city Eupseong Festival program. Descriptive statistics, reliability analysis, correlation analysis, and moderating effect analysis were performed for the analysis of the questionnaire data. As a result of the study, first, storytelling and regional cultural unity showed the highest positive correlation, and there were positive correlations between local cultural unity and brand assets, and between storytelling and brand assets. Second, as a result of the moderating effect analysis, regional cultural unity moderated the link between storytelling and brand assets. In other words, when storytelling increases, brand assets increase, but when regional cultural unity is high, it increases more steeply than when regional cultural unity is low. This study presented a new model to improve the brand assets of local festivals.

• Asia-Pacific Journal of Business
• /
• v.13 no.1
• /
• pp.103-123
• /
• 2022

Purpose - This study investigates the effects of earnings management, related party transactions between chaebol affiliates on earnings management and ESG score on their profitability using return on assets (ROA). Design/Methodology/Approach - We use data including ESG (Environmental, Social, and Corporate Governance) score of the Korea Corporate Governance Service(KCGS), and financial data of 10,145 firm-year observations from the Total Solution 2000 (TS 2000) and Korea Companies-Information Service (KOKOInfo), and apply the finite lagged models to investigate the long-term effects of related party transactions between chaebol affiliates of earnings management on ESG scores and corporate performance. Furthermore, to take into consideration the simultaneous mutual effects on each other of main variables, we introduce finite distributed lags of five years. Findings - First, ESG-rated firms have a higher total asset return than non-ESG-rated firms. Second, chaebol firms have a higher profitability than non-chaebol firms. Third, profit management of related party transactions between affiliates within a chaebol has a positive effect on the short-term profitability and a negative effect on the long-term profitability. Fourth, chaebol ESG firms have a lower impact on profitability due to rating up (down) than non-chaebol ESG firms. Research Implications or Originality - Based on the above results, it can be concluded that firms used related party transactions for earnings management, the effects of related party transactions change over time, and chaebol firms manipulate earnings through related party transactions and ESG scores.

• Tunnel and Underground Space
• /
• v.32 no.5
• /
• pp.327-343
• /
• 2022

The standard work report for trucks was developed that records data on truck haulage operations in open-pit and underground mines, and to evaluate the performance of haulage operations. Work reports used in 5 mines in Korea was secured and analyzed, and items to be included in the standard work report were determined. By analyzing the formulas for key performance indicators (KPIs) proposed by the Global Mining Guidelines Group (GMG), it was possible to determine how to record time-related data. After selecting a limestone underground mine as a research area, the performance of haulage operations was evaluated using a standard work report. As a result, in terms of truck availability, uptime was 46.7%, and both physical and mechanical availability were 100%. In the case of utilization, use of availability was 88.2%, the asset utilization was 41.1%, and operating and effective utilization were 88.2% and 79.2%, respectively. Also, in terms of efficiency, operating efficiency was found to be 89.9%.

• The Journal of the Korea Contents Association
• /
• v.6 no.12
• /
• pp.244-252
• /
• 2006

The main results of this study can by summarized as follows. First, the incremental effect of equity to shareholders is common in the sample of this study. The sample contains 46 non-listed firms that filed for legal management and had confirmed their reorganization plans. Second, the results of the regression model analyzing the determinants of incremental equity to shareholders in legal management show that it is negative related to the solvency(total debt/total asset), firm size, and weight of claims for secured creditors and banks significantly. But corporate reorganization period(from filing to confirmation)are not significant.

• Atmosphere
• /
• v.33 no.2
• /
• pp.173-195
• /
• 2023

Research papers in the field of atmospheric environment published in three Journals: Journal of Korean Meteorological Society, Atmosphere, and Asia-Pacific Journal of the Atmospheric Sciences, are all summarized over period of 60 years since the establishment of Korea Meteorological Society (KMS) in 1963. In addition, current research trends and future outlook in the atmospheric environment field has been also highlighted. The results of historical records published in three KMS journals indicated that the activities, contents, and scope of researches carried out by KMS members in the field of atmospheric environment have yielded the enormous and rapid progress in each of the all four areas over 60 years. In particular, as the chronological progress of observational instruments and availability of satellite data such as from GEMS can be a great asset to deepen the observational and modeling researches in the current and future studies, it is highly anticipated that the more progressive and in-depth studies can be achievable to abate the air pollutants over the Korea as well as northeast Asia.

• The Korean Journal of Applied Statistics
• /
• v.36 no.2
• /
• pp.129-139
• /
• 2023

Forecasting volatility is essential to avoiding the risk caused by the uncertainties of an financial asset. Complicated financial volatility features such as ambiguity between non-stationarity and stationarity, asymmetry, long-memory, sudden fairly large values like outliers bring great challenges to volatility forecasts. In order to address such complicated features implicity, we consider machine leaning models such as LSTM (1997) and GRU (2014), which are known to be suitable for existing time series forecasting. However, there are the problems of vanishing gradients, of enormous amount of computation, and of a huge memory. To solve these problems, a causal temporal convolutional network (TCN) model, an advanced form of 1D CNN, is also applied. It is confirmed that the overall forecasting power of TCN model is higher than that of the RNN models in forecasting VIX, VXD, and VXN, the daily volatility indices of S&P 500, DJIA, Nasdaq, respectively.