• The Journal of Economics, Marketing and Management
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• v.12 no.3
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• pp.13-22
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• 2024

Purpose: While there has been extensive research on discretionary accruals (hereafter, 'DA') and accounting conservatism, interpretations have varied among researchers depending on how discretionary accruals are determined as proxies. This study investigates the relationship between discretionary accruals (DA) and accounting conservatism, focusing on the distinctions between signed DA and absolute DA. Research design, data and methodology: Using financial data from companies listed on the KOSPI and KOSDAQ markets from 2010 to 2020, we employ regression analysis to explore how signed and absolute DA impact accounting conservatism. This approach allows us to parse out the effects of positive versus negative discretionary accruals systematically. Results: Our findings indicate a divergent impact of DA on accounting conservatism. Specifically, in cases of negative DA, an increase in DA corresponds with heightened accounting conservatism. Conversely, when DA is positive, increases in DA do not exhibit a significant relationship with changes in accounting conservatism. These effects suggest that the nature of DA-whether it represents upward or downward earnings adjustments-critically influences its relationship with conservatism. Conclusions: The results elucidate the nuanced role of discretionary accruals in influencing accounting conservatism. The decrease in accounting conservatism associated with absolute increases in DA appears primarily driven by groups with downward earnings adjustments. This suggests that as negative DA diminishes toward zero, accounting conservatism intensifies, whereas positive DA does not have a parallel effect.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.255-273
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• 2023

Purpose - This study examines whether internal control has an effect on stock price informativeness about future earnings. High quality internal control provides continuous assurance for the quality of financial reports, and these future earnings-related information is accurately reflected in the current stock price. Design/methodology/approach - This study collected 12,862 data from 2006 to 2021 in China to make an empirical analysis using the future earnings response coefficient (FERC) and the multiple regression analysis were hired in order to analyze the data. Findings - We find that internal control strengthens the association between current returns and future earnings, indicating that more information about future earnings is reflected in current stock prices. This positive effect exists in both the main board market and the growth enterprise market of China's stock market, especially in the main board market after the implementation of the internal control policy. In addition, we find that the positive effect is weaker for firms that report internal control deficiencies or receives non unqualified internal control audit opinions. The results using earnings persistence yield similar findings, further supporting the results based on the FERC model. Research Implications or Originality - Our tests provide strong evidence that the quality of internal control affects FERC in China stock market.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2082-2102
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• 2024

Accurate segmentation of magnetic resonance (MR) images is crucial for providing doctors with effective quantitative information for diagnosis. However, the presence of weak boundaries, intensity inhomogeneity, and noise in the images poses challenges for segmentation models to achieve optimal results. While deep learning models can offer relatively accurate results, the scarcity of labeled medical imaging data increases the risk of overfitting. To tackle this issue, this paper proposes a novel fuzzy c-means (FCM) model that integrates a deep learning approach. To address the limited accuracy of traditional FCM models, which employ Euclidean distance as a distance measure, we introduce a measurement function based on the skewed normal distribution. This function enables us to capture more precise information about the distribution of the image. Additionally, we construct a regularization term based on the Kullback-Leibler (KL) divergence of high-confidence deep learning results. This regularization term helps enhance the final segmentation accuracy of the model. Moreover, we incorporate orthogonal basis functions to estimate the bias field and integrate it into the improved FCM method. This integration allows our method to simultaneously segment the image and estimate the bias field. The experimental results on both simulated and real brain MR images demonstrate the robustness of our method, highlighting its superiority over other advanced segmentation algorithms.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.305-305
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• 2022

A better approach for assessing meteorological drought occurrences is increasingly important in mitigating and adapting to the impacts of climate change, as well as strategies for developing early warning systems. The present study defines meteorological droughts as a period with an abnormal precipitation deficit based on monthly precipitation data of 18 gauging stations for the Han River watershed in the past (1974-2015). This study utilizes a Bayesian parameter estimation approach to analyze the effects of climate change on future drought (2025-2065) in the Han River Basin using the Coupled Model Intercomparison Project Phase 6 (CMIP6) with four bias-corrected general circulation models (GCMs) under the Shared Socioeconomic Pathway (SSP)2-4.5 scenario. Given that drought is defined by several dependent variables, the evaluation of this phenomenon should be based on multivariate analysis. Two main characteristics of drought (severity and duration) were extracted from precipitation anomalies in the past and near-future periods using the copula function. Three parameters of the Archimedean family copulas, Frank, Clayton, and Gumbel copula, were selected to fit with drought severity and duration. The results reveal that the lower parts and middle of the Han River basin have faced severe drought conditions in the near future. Also, the bivariate analysis using copula showed that, according to both indicators, the study area would experience droughts with greater severity and duration in the future as compared with the historical period.

• Journal of the Society of Disaster Information
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• v.8 no.3
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• pp.310-318
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• 2012

Actual condition by items based on the level of execution of Construction Company certified by Construction Safety and Health Management Systems (KOSHA 18001) was investigated, analyzed and evaluated reflecting various opinions fincluding safety experts, top management, audit experts, and construction engineers. Currently, the maintenance is being managed through internal audit after the safety and health management system has been certified, but it is difficult to identify the degree of continuous improvement. In order to present the standards to see the level of quantified system, this study was conducted. The purpose of this study is to present the system maturity evaluation tool to be used to reduce occupational accidents through proper establishment and continuous improvement of national health and safety management system. Results of this study are summarized through identification of current condition of implementation of KOSHA 18001 system, development of maturity measurement tool and verification as follows: First, priority of implementation for activities of headquarters and on-site was determined by importance of activities such as the risk assessment, safety and health accident prevention activities, performance assessment and monitoring, resource management and support, and management review and improvement in order. In addition, the expert group presented that association with continuous improvement activities could establish the system by presenting strengths, weaknesses and improvement subjects of system.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.11-17
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• 2016

This study is to examine the effect that the degree of alcohol use and the factor of family relationship have on alcohol related problem with elderly people over 65 years old. The study utilized the data from Korea Welfare Panel Study in 2014 published in 2015, which is annually conducted nationwide study. AUDIT (Alcohol Use Disorder Identification Test) of the World Health Organization scale to assess the drinking problem in the study was used. The collected data were analyzed using SPSS 21.0. Presenting some discussions on the basis of the results of this study is as follows. First, looking at a cross-analysis of gender differences in drinking problems, elderly men and elderly women showed different degrees of alcohol problems. Second, looking at demographic characteristics that influence whether a drinking problem, younger age showed a serious drinking problem. Third, looking at the effect that depression and family relationship have on alcohol problem, depression appeared to have relatively more serious effect than the family relationship. According to the above finding, physical and mental health for healthy aging are important factors of the quality of life so a preventive approach to maintain healthy habits is considered to be essential.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.151-159
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• 2010

This paper presents a research result that was performed to develop a more accurate freeway crash prediction model than existing models. While the existing crash models only focus on developing crash relationships associated with highway geometric conditions found on a short section of a crash site, this research applies a different approach considering the upstream highway geometric conditions as well. Theoretically, crashes occur while motorists are in motion, and particularly at freeways vehicle speed at one specific point is very sensitive to upstream geometric conditions. Therefore, this is a reasonable approach. To form the analysis data base, this research gathers the geometric conditions of the West Seaside Freeway 269.3 km and six years crash data ranging 2003-2008 for these freeway sections. As a result, it is found that crashes fit well into Negative Binomial Distribution, and, based on the developed model, total number of crashes is inversely proportional to highway curve length and radius. Contrarily, crash occurrences are proportional to tangent length. This result is different from existing crash study results, and it seems to be resulted from this research assumption that a crash is influenced greatly by upstream geometric conditions. Also, this research provides the expected effects on crash occurrences of the length of downgrade sections, speed camera placements, and the on- and off- ramp presences. It is expected that this research result is useful for doing more reasonable highway designs and safety audit analysis, and applying the same research approach to national roads and other major roads in urban areas is recommended.

• Journal of KIISE:Information Networking
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• v.30 no.3
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• pp.397-406
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• 2003

As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of important data, has been raised. In the field of anomaly-based IDS several artificial intelligence techniques such as hidden Markov model (HMM), artificial neural network, statistical techniques and expert systems are used to model network rackets, system call audit data, etc. However, there are undetectable intrusion types for each measure and modeling method because each intrusion type makes anomalies at individual measure. To overcome this drawback of single-measure anomaly detector, this paper proposes a multiple-measure intrusion detection method. We measure normal behavior by systems calls, resource usage and file access events and build up profiles for normal behavior with hidden Markov model, statistical method and rule-base method, which are integrated with a rule-based approach. Experimental results with real data clearly demonstrate the effectiveness of the proposed method that has significantly low false-positive error rate against various types of intrusion.

• The Korean Journal of Archival Studies
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• no.60
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• pp.317-358
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• 2019

Blockchain technology has emerged as one of the key technologies of the fourth industrial revolution. Blockchain technology is characterized by being able to verify the authenticity of stored information in a block and whether it is false or falsified, cannot arbitrarily manipulate or delete a particular record, and is capable of transparent audit trail. This study is designed to explore how to apply blockchain technology to record management. For this purpose, we want to approach the code area, the physical area of the blockchain technology, to explore some of the key physical structures, and to derive the applicability of the blockchain technology. By implementing the part of 'Cloud-Record Management System', future record management system model and currently in the process of phasing out step by step, as a modular block chain, I suggest a blockchain network model that can simplify or replace various functions of the current record management process.

• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.38-47
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• 2020

Purposes: The problem in the recent immigration policy and social policy changes for foreigners is that the preliminary analysis or research on the actual impact of the influx of foreigners has not been done enough in Korea yet.. This study is to examine the impact of the Korean health insurance finances on the influx of foreigners. Approach: This study analyzed the health insurance statistics for foreigners and overseas Koreans of the Health Insurance Corporation from 2013 to 2017. The data is the "Status of Health Insurance Premiums for Nationals, Foreigners, and Overseas Koreans from 2013 to 2017" submitted by the National Health Insurance Service to the Health and Welfare Committee during the 2018 National Audit Period. Findings: To summarize the analysis, first, the proportion of foreigners was only 1% of all subscribers (1.7% at work, 1.9% in regions) until 2017. Second, employees at work have a lower pay-to-pay ratio, and local subscribers have a higher pay-to-pay rate, regardless of nationality. Third, as immigrants are mostly concentrated in younger ages, they are healthy and use of hospitals is relatively low. Fourth, in terms of gender distribution, there are many women of childbearing age due to marriage immigration among foreign local subscribers, and more men use hospitals than workers who have a high proportion of males due to childbirth. In conclusion, the impact of immigration on health insurance finances is not large, and has a positive effect on finances. Practical Implications: If we simply consider the financial aspect, encouraging foreigners to subscribe to health insurance has a positive effect on finances. In particular, the more foreign workers are enrolled, the greater the financial gain. In particular, increasing the employment of foreign women through language education, vocational training, and employment support will help finance health insurance. One of the reasons foreign subscribers have a positive impact on health insurance finance is the low medical utilization rate. It can be said that young and healthy foreigners use fewer hospitals and clinics, but another aspect means that foreigners have difficulty using health insurance for various reasons. Therefore, various supports must be accompanied so that foreign subscribers can use medical services when necessary.