• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.23-30
• /
• 2001

The Financial Cost in construction industry today is tend to increasing the burden of business management on account of lowered profit due to the mege-competition and decreasing investment of construction, multi-interfacing. system in it's attribute and various unreasonable governeing enactments. It is becoming the most important aspects for the management of construction business on how to preserve the profit from the various risks. The ultimate aims of this study is to pursue the contractual equity between the parties by establishing the fundamentals of framework for the compensation of Financial Charges through the review of the precedent studies and analysis of inquiries. As a result of the study, improvable measures for any practical inequality and/or institutional defects of current public contract system in recovering the Financial Cost incurred to Contractor are delivered as below; (1) $\lceil$Working Rules for Construction Industry Accounting Standards$\rfloor$ shall be amended and supplemented so as the incurred interest to be recognized as an operative cost by live return over the collection period. (2) The long-term phase contract system of which is enforcing contractor to bear the certain losses shall be diminished and/or abolished gradually. (3) The unreasonable legislations on compensation for financial cost in contract conditions shall be improved in response to practical circumstances. (4) The use of Critical-Path Method for Time Management shall be activated together with EVMS. (5) Independent application of Contract Enactments for construction industry shall be adopted.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.17 no.1
• /
• pp.229-249
• /
• 2022

This paper investigates machine learning models for predicting the designation of administrative issues in the KOSDAQ market through various techniques. When a company in the Korean stock market is designated as administrative issue, the market recognizes the event itself as negative information, causing losses to the company and investors. The purpose of this study is to evaluate alternative methods for developing a artificial intelligence service to examine a possibility to the designation of administrative issues early through the financial ratio of companies and to help investors manage portfolio risks. In this study, the independent variables used 21 financial ratios representing profitability, stability, activity, and growth. From 2011 to 2020, when K-IFRS was applied, financial data of companies in administrative issues and non-administrative issues stocks are sampled. Logistic regression analysis, decision tree, support vector machine, random forest, and LightGBM are used to predict the designation of administrative issues. According to the results of analysis, LightGBM with 82.73% classification accuracy is the best prediction model, and the prediction model with the lowest classification accuracy is a decision tree with 71.94% accuracy. As a result of checking the top three variables of the importance of variables in the decision tree-based learning model, the financial variables common in each model are ROE(Net profit) and Capital stock turnover ratio, which are relatively important variables in designating administrative issues. In general, it is confirmed that the learning model using the ensemble had higher predictive performance than the single learning model.

• Journal of Digital Convergence
• /
• v.6 no.4
• /
• pp.53-61
• /
• 2008

Organizations can experience serious financial and/or reputational losses if business activities are disrupted by an incident of information systems under the current business environment. The loss includes the intangible decline in brand image, customer separation, and the tangible loss such as decrease in business profits. Thus, it is necessary to take proactive initiatives by managing many kinds of risks an organization may have. Therefore, the enterprise risk management has been received a special attention by some advanced private companies, but not many public organizations. This paper describes an approach and some issues when the enterprise risk management was introduced in a domestic public organization.

• Journal of Korea Multimedia Society
• /
• v.21 no.5
• /
• pp.617-625
• /
• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.59 no.1
• /
• pp.46-50
• /
• 2010

Power system outages can lead to huge economic losses for various industries. Jeju island power system outage in 2006 also caused significant social and economic impacts in Korea. There have been numerous attempts to evaluate the economic costs of power system outages. Power system outages can also have financial impacts on electric power industry. This paper attempts to analyze the economic impacts of the 2006 Jeju island power system outage on the values of the firms in the power industry using event study. Empirical analysis results are presented to show the economic impacts of the 2006 Jeju island outage on the values of the firms in the power industry.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2002.05a
• /
• pp.361-366
• /
• 2002

The deterioration of concrete structure due to corrosion of the reinforcement has created big financial losses on the overall industries. The volume expansion of the corrosion products causes internal pressure to concrete wall around reinforcing bar. If the maximum principal stress induced by internal pressure exceeds the tensile strength of the concrete at any point of time, a crack forms at any point of material. Therefore, in terms of life assessment of concrete structure, it is very important to predict the amount of corrosion products which induces initial concrete cracking. With this objective, this paper proposes the critical amount of corrosion products at interface between reinforcement and concrete using finite element analysis. If an actual survey of corrosion rates could be made, the model might supply information for condition assessment of existing concrete structure. As the mechanical properties of corrosion product and instantaneous geometry of corroded steel are considered in the analysis, the value obtained will be more realistic.

• Journal of the Korean Society of Safety
• /
• v.22 no.5
• /
• pp.71-76
• /
• 2007

Failures of equipments for train control systems are linked directly to extensive damages of human lives or financial losses from the increasing uses of train control equipments utilizing computers. Then safety activities for assuring safety and reliability are needed during the system life-cycle. Risk analysis is important phase to increase safety from determining the risk presented by the identified hazard. In this paper, we investigated several methods for risk estimation of safety activities, and then we drew a comparison between original methods to suggest optimized one in the application to train control systems. In the result of the comparison, we had plan to propose the risk analysis method called Best-Practice(BP) risk method combining advantages of the qualitative and the quantitative analysis. In addition, we attempted to apply the BP-risk method to domestic train control systems handling in Korea.

• Proceedings of the KIEE Conference
• /
• 2001.07b
• /
• pp.635-637
• /
• 2001

The faults of the squirrel cage induction motor is grew increasingly complex as the faults resulting in the shorting of a stator winding and the broken rotor bar or cracked rotor end ring, bearing faults, and so on. The users of electrical machines initially relied on simple protections such as over-current, over-voltage, earth-fault, etc. to ensure safe and reliable operation. but this method cause heavy financial losses and the threat of safety therefore it has now become very important to diagnose faults at there very inception. in this paper, we are going to discuss the detection method of broken rotor bar of squirrel cage induction motor by the motor current signal analysis(MCSA) and the opening terminal voltage signal analysis.

• Journal of Information Technology Services
• /
• v.3 no.2
• /
• pp.53-64
• /
• 2004

For many reasons, SI(Systems Integration) projects can fail. Sometimes, they can result in considerable financial losses to the organizations that undertake them. These projects are abandoned or redirected. However, the cost of project abandonment or redirection can represent a tremendous waste of organizational resources. By managing failure factors carefully, project managers can prevent projects from failing. Types of project failure can be categorized into escalation and de-escalation. Project escalation is that, as projects progress, the project scopes keep increasing. Project de-escalation is that, as projects progress, the project scopes keep decreasing. This study examine relative importance of risk factors that cause project escalation and de-escalation.

• Proceedings of the KSR Conference
• /
• 2006.11b
• /
• pp.870-877
• /
• 2006

Recently, failures of equipments are linked directly to extensive damages of human lives or financial losses from the increasing uses of train control equipments utilizing computers. Then safety activities have to progress for guaranteeing safety during the system life-cycle. In this paper, we examine the methods for risk analysis and assessment of safety activities and propose optimized one method for risk assessment. There are original risk assessment methods; risk graph and risk matrix method under the qualitative analysis, IRF(Individual Risk Formula) calculations and statistical calculations method under the quantitative analysis. Best-Practice(BP) risk analysis method is proposed for combining advantages of the qualitative and the quantitative analysis. In the comparison of risk graph and risk matrix method for safety estimation, BP method has no applications published up to now, but we can expect that this method will be utilized widely for the risk assessment due to various strong points.