• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.559-566
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• 2021

The aggregate gradation analysis is a study that evaluates the accuracy of a specific purpose for the aggregate gradation analysis results essential for construction-related major education. This study is to evaluate the effect of aggregate moisture content on aggregate gradation analysis. The change in the moisture content of the aggregate stored in the asphalt plant cold bin and stock piles was monitored for one year, and based on the results, a sample of aggregate with different moisture content was produced. The gradation curve for each aggregate sample was analyzed to evaluate the effect of aggregate moisture content on aggregate gradation analysis. As a result of the gradation evaluation, it was confirmed that as the moisture content increased, the particle size error for particles less than 5 mm increased in the gradation analysis of the oven-dried aggregate, and this error increased as the particle size decreased. In addition, for aggregate particles of 5 mm or more, it was confirmed that the error in gradation analysis rapidly decreased due to the increase in the moisture content. An analysis was performed on the effect of the error in gradation analysis on the management of hot-bin aggregates in asphalt plants. As a result of the analysis, it was found that the minimum aggregate size of the first hot-bin in a general asphalt plant was 2.38 mm or more, so the maximum gradation error due to the non oven-dry aggregate was less than 2%. Therefore, it seems possible to use the results of the gradation analysis of cold bin non oven-dry aggregate for quality management of asphalt mixture production.

• Korean Journal of Construction Engineering and Management
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• v.22 no.3
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• pp.52-60
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• 2021

Due to the significant size of overseas construction projects, the cost overrun has enormous impacts on the financial status of construction companies. The managers' appropriate perception and identification of key risk factors in the construction phase notably affect the performance of projects. However, the actual impacts of risk factors and local manager' s perception of them could be deviated. For this reason, we aim to compare the performance of actual cases and general opinions of responsible practitioners in terms of risk factors relevant to cost overruns in order to present a practical strategy for risk management. Firstly, factors classified from literature review were used to simulate 290 cost overruns data sets from 20 cases by introducing Monte-Carlo Simulation and were ranked by standardized coefficients through multiple regression analysis. Secondly, a survey was conducted against 42 local managers to rank their perception of impact on cost overrun with identical factors by using Stepwise Weight Assessment Ratio Analysis (SWARA). Comparison results show that conflicts such as 'conflict with subcontractors' and 'conflict with the local community' have caused excessive cost overrun. However, managers' perception of these as less significant than the actual influences and consider other risks such as 'material price fluctuation' and 'construction quality errors', as relatively serious. Therefore, education for local managers on conflict risks needs to be presented.

• Journal of the Korea Institute of Building Construction
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• v.21 no.3
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• pp.231-239
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• 2021

Entering the era of the fourth industrial revolution, information and communication technologies such as CCTV, home network systems and equipment are being used in the construction industry. In particular, in order to increase the autonomy of information and communication technologies in apartments, the government has announced an administrative revision of information and communication-related laws, and companies are focusing on developing technologies such as smart home services. In addition, most domestic and foreign studies on the information and communication work were mainly conducted on technology and management. However there is a lack of research on physical defects affecting the quality of ICT. Therefore, this study collected the defect data registered in the project management system of three domestic construction companies and classified them according to the standards of the Enforcement Decree of the Apartment House Management Act. According to the analysis of the frequency of defects work type, 88.10% of defects occurred in home network equipment work. In addition, analysis of defects type in the four detailed works showed the highest number of operation error. The cause was analyzed and prevention measures and countermeasures were presented in parts of design, construction, and maintenance. The results of this study will improve the quality of apartment housing and be used as basic data for future research on practical defect minimization and prevention measures.

• Korea Journal of Hospital Management
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• v.27 no.2
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• pp.1-15
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• 2022

Purposes: The purpose of this study is to examine the effects of health service quality and perceived risks of Korean hospitals on the satisfaction and revisit of Kazakhstan's customers. Among two classified groups: health service providers and health service receivers, this study aims to identify the effects of health service receivers in Kazakhstan's health service quality and perceived risks on customer satisfaction. Methodology: Hypotheses were developed upon the explanations on health service quality, perceived risks, customer satisfaction, and revisit, advanced by prior literature. A survey was conducted on the effects of health service receivers in Kazakhstan's health service quality and perceived risks on customer satisfaction and revisit. The proposed hypotheses were confirmed by examining validity and reliability of the collected data, followed by regression analysis. Findings: First, the five dimensions: reliability, responsiveness, assurance, empathy, and tangibles showed a positive correlation between the impacts of health service quality and customer satisfaction of Korean hospitals. Second, the physical risk, social risk, time-loss risk showed a negative correlation. Lastly, the relation between customer satisfaction and revisit showed a positive correlation. Practical Implication: Health service quality and perceived risks were identified to impose significant effects on Kazakhstan customers. The identified results suggest that Korean hospitals should implement management strategies based on the customers' satisfaction factor.

• Korean Journal of Construction Engineering and Management
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• v.23 no.6
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• pp.43-53
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• 2022

In many cases, the construction industry in Korea has a hierarchical structure in which a general contractor in charge of the entire project is subcontracted from the client and entrusts the construction to a specialty contractor in charge of detailed work types. In this structure, the general contractor manages and takes responsibility for the entire construction, but the person directly involved in the construction is an individual specialty contractor, so the quality and safety of the facilities will vary according to their construction and management capabilities. In order to solve quality and safety problems that may arise due to the difference between the person receiving the order for construction and the person who actually constructs it, it is necessary to let the person who receives the order perform the construction directly for projects under a certain amount. The system introduced for this purpose is the direct construction mandatory system. As described above, although this system was introduced to prevent bad construction and risk transfer, it is a system that has various problems due to the characteristics of the domestic construction industry, institutional limitations, and practical problems, so it is necessary to improve it legally and institutionally.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.317-340
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• 2023

In a business context, ESG is defined as the use of environmental, social, and governance factors to assess a firm's progress in terms of sustainability. Social media has enabled the public to actively share firms' good and/or bad deeds, increasing public interest in ESG management. Therefore, this study aimed to investigate the association of firm performances with the respective sentiments towards each of environmental, social, and governance activities, as well as comprehensive ESG sentiments, which encompass all environmental, social, and governance sentiments. This study used panel regression models to examine the relationship between social media ESG sentiment and the Return on Assets (ROA) and Return on Equity (ROE) of 143 companies listed on the KOSPI 200. We collected data from 2018 to 2021, including sentiment data from a variety of social media channels, such as online communities, Instagram, blogs, Twitter, and other news. The results indicated that firm performance is significantly related to respective ESG and comprehensive ESG sentiments. This study has several implications. By using data from various social media channels, it presents an unbiased view of public ESG sentiment, rather than relying on ESG ratings, which may be influenced by rating agencies. Furthermore, the findings can be used to help firms determine the direction of their ESG management. Therefore, this study provides theoretical and practical insights for researchers and firms interested in ESG management.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.21-30
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• 2023

The study proposes a model that utilizes Python-based deep learning text classification techniques to detect the legality of illegal financial advertising posts on the internet. These posts aim to promote unlawful financial activities, including the trading of bank accounts, credit card fraud, cashing out through mobile payments, and the sale of personal credit information. Despite the efforts of financial regulatory authorities, the prevalence of illegal financial activities persists. By applying this proposed model, the intention is to aid in identifying and detecting illicit content in internet-based illegal financial advertisining, thus contributing to the ongoing efforts to combat such activities. The study utilizes convolutional neural networks(CNN) and recurrent neural networks(RNN, LSTM, GRU), which are commonly used text classification techniques. The raw data for the model is based on manually confirmed regulatory judgments. By adjusting the hyperparameters of the Korean natural language processing and deep learning models, the study has achieved an optimized model with the best performance. This research holds significant meaning as it presents a deep learning model for discerning internet illegal financial advertising, which has not been previously explored. Additionally, with an accuracy range of 91.3% to 93.4% in a deep learning model, there is a hopeful anticipation for the practical application of this model in the task of detecting illicit financial advertisements, ultimately contributing to the eradication of such unlawful financial advertisements.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1253-1253
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• 2022

Although the construction industry is changing from a 2D-based to a 3D BIM-based management process, 2D drawings are still used as standards for permits and construction. For this reason, 2D deliverables extracted from 3D BIM are one of the essential achievements of BIM projects. However, due to technical and institutional problems that exist in practice, the process of extracting 2D deliverables from BIM requires additional work beyond generating 3D BIM models. In addition, the consistency of data between 3D BIM models and 2D deliverables is low, which is a major factor hindering work productivity in practice. To solve this problem, it is necessary to build BIM data that meets information requirements (IRs) for extracting 2D deliverables to minimize the amount of work of users and maximize the utilization of BIM data. However, despite this, the additional work that occurs in the BIM process for drawing creation is still a burden on BIM users. To solve this problem, the purpose of this study is to increase the productivity of the BIM process by automating the process of extracting 2D deliverables from BIM and securing data consistency between the BIM model and 2D deliverables. For this, an expert interview was conducted, and the requirements for automation of the process of extracting 2D deliverables from BIM were analyzed. Based on the requirements, the types of drawings and drawing expression elements that require automation of drawing generation in the design development stage were derived. Finally, the method for developing automation technology targeting elements that require automation was classified and analyzed, and the process for automatically extracting BIM-based 2D deliverables through templates and rule-based automation modules were derived. At this time, the automation module was developed as an add-on to Revit software, a representative BIM authoring tool, and 120 rule-based automation rulesets, and the combinations of these rulesets were used to automatically generate 2D deliverables from BIM. Through this, it was possible to automatically create about 80% of drawing expression elements, and it was possible to simplify the user's work process compared to the existing work. Through the automation process proposed in this study, it is expected that the productivity of extracting 2D deliverables from BIM will increase, thereby increasing the practical value of BIM utilization.

• Journal of Industrial Convergence
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• v.21 no.5
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• pp.15-29
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• 2023

The purpose of this study was intended to analyze the effect of the level of self-differentiation in the financial companies on customer orientation, and to find out the mediating effect of job stress between self-differentiation and customer orientation. In addition, this study was intended to suggest implications that can be used for customer management and marketing activities of financial companies. The results of this study are as follows: First, a low level of fusion with others was found to have a negative(-) effect on customer orientation. second, a level of emotional-cutoff did not affect customer orientation. third, a low level of emotional-reactivity had a positive(+) effect on customer orientation. fourthly, a high level of 'I'-positon has a positive(+) effect on customer orientation. Fifthly, job stress was found to partially mediate between customer orientation and fusion with others, emotional-reactivity, 'I'-positon. This study has academic significance in that it identified patterns of customer orientation according to the level of self-differentiation of employees in the financial companies. As for practical implications, in order to improve customer orientation in employees in the financial companies, first, job stress of organizational members must be reduced. second, members with a low level of emotional-reactivity and a high level of 'I'-positon should be assigned to sales positions, and third, there is a need to assign a lot of authority and responsibility to employees in middle and lower positions.

• Korean Journal of Environmental Biology
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• v.41 no.1
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• pp.31-40
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• 2023

In 2022, the Korean Ministry of Environment designated Parthenium hysterophorus as an ecosystem-disturbing plant. The purpose of this study was to present a management plan for P. hysterophorus considering its distribution, morphological, physiological, and ecological characteristics, and to introduce various control techniques. P. hysterophorus is native to Central America and occurs in about 45 countries worldwide. However, in Korea, it only grows in some areas of Tongyeong and Changwon, Gyeongsangnam Province. P. hysterophorus is an annual plant and spreads by seeds, moves between countries in the process of importing and/or exporting agricultural seeds, and spreads by agricultural machinery and vehicles after introduction. P. hysterophorus releases parthenin, an allelochemical that suppresses the occurrence of the surrounding vegetation, from its stems and roots. In addition, P. hysterophorus causes damage to humans and livestock through various allergens. P. hysterophorus can be controlled by physical methods, such as cutting its stems or pulling roots, and by treatment with non-selective herbicides, such as glyphosate. Many biological control research studies have been conducted and, unfortunately, there is no a practical solution so far.