• The KIPS Transactions:PartC
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• v.12C no.3 s.99
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• pp.347-360
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• 2005

E-Government service is national project that is necessary for international competitiveness, openness of government and effectiveness of governmental work process. E-Government security is very important because it treats data has relatively high sensitivity. But, until now, the development point of E-Government service has been limited to only it's contents and infrastructure based on web without consideration of E-Government security. Lately research for E-Government security has been studied by some advanced country of E-Government service, but it is insufficient. To construct E-Government security based on web Infra, first of all, analysis of web service security technology is needed to precede. And then research for appling the technology to E-Government service are required. We propose secure E-Government service scenario with web service security technology based on development stages of E-Government service. We also suggest overall view and secure scenario of E-Government service in Integrated Computing Environment.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.544-555
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• 2019

In today's business environment, not only human resources management but work efficiency is getting substantial attention as well. Employees are one of the most significant and valuable resources in an organization who can play a critical role in accomplishing organizational goals and purposes. This study examines the effect of employee job satisfaction(affective and cognitive satisfaction) on job performance. Furthermore, this study examines the moderating effect of leadership type (transactional and servant leadership) between job satisfaction on job performance. As a result, affective and cognitive satisfaction were shown to positively affect employee job performance. Especially, cognitive satisfaction has more influenced on job performance than affective satisfaction. Second, transactional and servant leadership were not shown to affect employee job performance. However, transactional leadership had a moderating effect between job satisfaction on job performance.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.147-157
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• 2019

This research is analyzed the effect of teacher's sense of efficacy from childcare teacher on happiness. The aim is to verifying the interactional medium effect and regulating the result of job stress regulating result between teacher and children. Therefore, the 7th of survey data from Panel Study on Korean Children was referenced in this paper. The respondents of this data are 348 children who just 5 years old and those teachers in. The final results were verified by adopting hierarchical analysis. Likewise, the results also showed the medium effect by the sobel test. Based on the results, it was shown that firstly, the teacher's sense of efficacy from childcare teacher has a positive impact on happiness. Secondly, there is a medium effect creating by interacted between teacher and children. Thirdly, the influence between happiness and the teacher's sense of efficacy lead to regulating the result of job stress. Hence, for increasing the happiness of childcare teacher, it is necessary to seek a program with practicality.

• Convergence Security Journal
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• v.19 no.2
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• pp.29-38
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• 2019

For that reason, trend research has been actively conducted to identify and analyze the key topics in large amounts of data and information. Also personal information protection field is increasing activities in order to identify prospects and trends in advance for preemptive response. However, only research based on technology such as trends in information security field and personal information protection solution is broadly taking place. In this study, threat-based trends in personal information protection field is analyzed through text mining method. This will be the key to deduct undiscovered issues and provide visibility of current and future trends. Policy formulation is possible for companies handling personal information and for that reason, it is expected to be used for searching direction of strategy establishment for effective response.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.9-14
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• 2020

Currently, NTIS (National Technology Information Service) is building an interactive search service based on artificial intelligence technology. In order to understand users' search intentions and provide R&D information, an interactive search service is built based on deep learning models and morpheme analyzers. The deep learning model learns based on the log data loaded when using NTIS and interactive search services and understands the user's search intention. And it provides task information through step-by-step search. Understanding the search intent makes exception handling easier, and step-by-step search makes it easier and faster to obtain the desired information than integrated search. For future research, it is necessary to expand the range of information provided to users.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.31-36
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• 2021

As the global economy stagnated due to the Corona 19 virus from Wuhan, China, most countries, including the US Federal Reserve System, introduced policies to boost the economy by increasing the amount of money. Most of the stock investors tend to invest only by listening to the recommendations of famous YouTubers or acquaintances without analyzing the financial statements of the company, so there is a high possibility of the loss of stock investments. Therefore, in this research, I have used artificial intelligence deep learning techniques developed under the existing automatic trading conditions to analyze and predict macro-indicators that affect stock prices, giving weights on individual stock price predictions through correlations that affect stock prices. In addition, since stock prices react sensitively to real-time stock market news, a more accurate stock price prediction is made by reflecting the weight to the stock price predicted by artificial intelligence through stock market news text mining, providing stock investors with the basis for deciding to make a proper stock investment.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.249-255
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• 2022

This study proposed an analysis framework for real-time prediction of CNC processing defects using machine learning-based models that are recently attracting attention as processing defect prediction methods, and applied it to CNC machines. Analysis shows that the XGBoost, CatBoost, and LightGBM models have the same best accuracy, precision, recall, F1 score, and AUC, of which the LightGBM model took the shortest execution time. This short run time has practical advantages such as reducing actual system deployment costs, reducing the probability of CNC machine damage due to rapid prediction of defects, and increasing overall CNC machine utilization, confirming that the LightGBM model is the most effective machine learning model for CNC machines with only basic sensors installed. In addition, it was confirmed that classification performance was maximized when an ensemble model consisting of LightGBM, ExtraTrees, k-Nearest Neighbors, and logistic regression models was applied in situations where there are no restrictions on execution time and computing power.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.393-404
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• 2022

This study attempted to examine the effect of education and training on organizational performance based on HCCP research through the systematic review of previous studies. For this, 29 papers used HCCP data were selected and analyzed, and the research results are as follows. First, the research results showed that education and training had a positive effect on non-financial performance such as organizational commitment and job satisfaction, and financial performance such as sales and operating profit. Second, in order for education and training to affect organizational performance, job satisfaction, organizational culture, and education transfer were found to be important factors. Third, for effective transfer of education and training, it is necessary to establish a system that can be applied to the field after education and training, finally, it suggested the need for research to be conducted to reveal the practical effectiveness of education and training by measuring the degree to which education and training contributed to financial performance more closely.

• Knowledge Management Research
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• v.24 no.4
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• pp.63-85
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• 2023

This study aims to identify the primary user group in the growing metaverse space based on the increased interest during the COVID-19 era. It also aims to explore the predictive factors for metaverse adoption. To predict online activities, the study examined user purposes, motivations, and relevant demographic factors as predictive variables through model analysis. The data from the Korean Media Panel Survey were used, and a two-stage analysis with the Heckman two-stage sample selection model was conducted to predict metaverse users. The analysis revealed that the key factors influencing metaverse adoption were offline activities, openness, OTT usage, and purchasing of paid content. Moreover, in the second stage model, openness, gender, and paid content purchases were identified as significant variables for increasing metaverse usage time. These results indicate that understanding metaverse users is essential in the context of the rising interest in online activities during the COVID-19 era and can provide valuable insights for metaverse platform-related companies and developers.

• Information Systems Review
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• v.22 no.3
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• pp.15-30
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• 2020

In the real estate industry, the latest changes in the Fourth Industrial Revolution, such as big data analytics, machine learning, and VR (virtual reality), combine to bring about industry change. Proptech is a new term combining properties and technology. This study aims to derive and analyze from a comprehensive perspective the quality factors (systems, services, interfaces, information) for mobile real estate brokerage services that are well known and used in the domestic market. The surveys in this study were conducted online and offline and a total of 161 samples were used for statistical analysis. As a result, all hypotheses were approved to except system quality and service quality. The results show that the domestic proptech companies who are mostly focused on real estate brokerage services, peer-to-peer lending, advertising platforms and apartments need to grow in various fields of proptech business of other countries including Europe, USA and China.