• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.69-74
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• 2021

Internet access is also increasing as online activities increase due to the influence of Corona 19. However, network attacks are also diversifying by malicious users, and DDoS among the attacks are increasing year by year. These attacks are detected by intrusion detection systems and can be prevented at an early stage. Various data sets are used to verify intrusion detection algorithms, but in this paper, CICIDS2017, the latest traffic, is used. DDoS attack traffic was analyzed using the decision tree. In this paper, we analyzed the traffic by using the decision tree. Through the analysis, a decisive feature was found, and the accuracy of the decisive feature was confirmed by proceeding the decision tree to prove the accuracy of detection. And the contents of false positive and false negative traffic were analyzed. As a result, learning the feature and the two features showed that the accuracy was 98% and 99.8% respectively.

• The Korean Journal of Franchise Management
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• v.11 no.4
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• pp.31-44
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• 2020

Purpose: The purpose of this study is to examine the effects of CEO's self-determination on entrepreneurship, business performance (operational and financial performance). Also, this research provide some strategic insights for improving business performance. In the proposed model, self-determination consists of autonomy, competence, and relatedness, and entrepreneurship consists of innovation, initiative and risk sensitivity, and proactiveness. More specifically, this study proposes a framework that entrepreneurship and operational performance will play mediating roles between self-determination and financial performance. Research design, data, methodology: In this study, an online survey was conducted on SME CEOs for analysis, and a total of 122 samples were used. In the analysis process for hypothesis verification and evaluation, frequency analysis was first performed to identify the demographic characteristics of the respondents, and confirmatory factor analysis was conducted to assess the reliability and validity of the measurement model. In addition, a structural model analysis was conducted to examine the structural relationships between CEO's self-determination, entrepreneurship, and business performance (operational and financial performance) using SmartPLS 3.0. Results: The findings and summary are as follows. First, the autonomy of self-determination has a positive effect on entrepreneurship. Second, the competence of self-determination affects entrepreneurship and operational performance. Third, it affects the innovation, initiative and risk sensitivity of the CEO's entrepreneurship, and ultimately, its operational performance. The results show that the business performance of Start-up also increases when self-determination can be a factor in increasing entrepreneurship in three sub-dimensionalities. Conclusions: The conclusion of this study is that in order for SMEs to develop into a sustainable company by securing competitiveness after start-up, external motivation such as external help and support from the state (local government) is important, but competence and relationship, which are components of self-determination. The intrinsic motivation of the CEO may be more important. To this end, CEO's should prioritize learning for competency development, and the government should pay attention to providing various educational programs through establishment of education policies and education systems to enhance the competency of start-up CEO's.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1067-1078
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• 2020

With the development of internet technology, a lot of content is produced, and the demand for it is increasing. Accordingly, the number of contents in circulation is increasing, while the number of distributing illegal copies that infringe on copyright is also increasing. The Korea Copyright Protection Agency operates a illegal content obstruction program based on substring matching, and it is difficult to accurately search because a large number of noises are inserted to bypass this. Recently, researches using natural language processing and AI deep learning technologies to remove noise and various blockchain technologies for copyright protection are being studied, but there are limitations. In this paper, noise is removed from data collected online, and keyword-based illegal copies are searched. In addition, the same heavy uploader is estimated through profiling analysis for heavy uploaders. In the future, it is expected that copyright damage will be minimized if the illegal copy search technology and blocking and response technology are combined based on the results of profiling analysis for heavy uploaders.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.6
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• pp.75-85
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• 2020

The purpose of this study was to investigate the citizens' perception of urban ecosystem and urban ecosystem education to find out how to plan and create an effective urban ecosystem and how to utilize urban ecosystem education and educational media according to age groups. To this end, an online survey of 416 Suwon citizens was conducted, and based on the responses of the respondents, cross-analysis, multiple-response analysis, and correlation analysis were conducted using the IBM SPSS Statistics Statistical Program. The study found that fewer respondents showed a high understanding of urban ecosystem concepts compared to those who recognized the importance of environmental issues. Nevertheless, most of the respondents were aware of the importance of preserving and protecting the urban ecosystem and responded positively to the inconvenience. In addition, most of the respondents were aware of the need for urban ecosystem education and were found to have different preferred information media depending on age. It has been confirmed that the establishment of facilities such as ecological learning centers and seasonal environmental schools is the top priority among all age groups. Citizens are also aware of the importance of preserving and protecting the urban ecosystem and the need for education, but it is deemed necessary to supplement it because effective urban ecosystem conservation and protection plans and systematic education are not provided that citizens can sympathize with. In addition, it is deemed that various measures should be presented in selecting responsible organizations and educational media that host the education for effective education and promotion of urban ecosystem education according to conduct urban ecosystem education.

• The Research Journal of the Costume Culture
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• v.29 no.1
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• pp.134-151
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• 2021

The aim of this research is to develop a clothing and textiles studio course for preservice home economics teachers applying principles of Project-Based Learning (PBL) and maker education to equip future teachers with the ability to nurture creativity among adolescents. The studio course was developed in the following stages: analysis, design, development, implementation, and evaluation. We concluded that the resulting course met the following objectives extracted from the 2015 revised curriculum of home economics subjects: to promote creative and environmentally-friendly fashion design and styling abilities, gain the ability to use makerspace tools, understand flat pattern making and sewing processes, and develop creative thinking, aesthetic sense, and communication skills. Furthermore, the educational effects of PBL and maker education were confirmed through student comments on the course. Students mentioned the practicality of the material in their actual lives along with their enhanced integration of the subject material, self-directedness, aesthetic sense, ability to learn through trial and error, collaboration and communication, and sharing. Based on results from the implementation and evaluation stages, a clothing and textiles studio course should include the following modules: introduction of terms and tools, submission and sharing of clothing reformation and upcycling techniques, introduction to hand sewing, pouch making, heat-transfer printing, 3D printing, mask making, hat making, vest making, and the final team project on fashion styling. It is important for instructors to provide detailed guidelines on selecting personas for styling, looking for available materials, and selecting materials online.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.339-345
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• 2021

With the development of online education due to COVID-19, the EduTech market, which combines new technologies such as AI and AR/VR in education is rapidly growing. In addition, the children's industry is steadily growing despite the decreasing birth rate every year as more and more families with one child per household are investing in their children. However, supply of contents to EduTech market is slow compared to demands that are increasing. Therefore, the purpose of this paper is to help solve these problems by developing and supporting AR kids contents with convenience, practicality, and efficiency using AR technology. AR content for supporting vocabulary learning for infants is not just an end to watching and listening, but an observation-driven model that can manipulate content directly, which attracts children's interest and helps children learn words. This paper is intended for infants from 15 months to 36 months old when full-fledged language development occurs.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.387-403
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• 2021

The purpose of this study is to design a community-based career education app for college students. Currently, career education in universities has various problems. First, career education is not systemized, second, satisfaction of participating students is not high, and third, competency-based career education is not conducted. Designing a community-based career education app for college students will solve the problem of lack of college career education instructors and increase the satisfaction of students participating in career education. To this end, core values were derived through the results of demand surveys, literature analysis, and network text analysis for college students, and a prototype of the app was devised according to the design of the rapid prototype. The career education program to be used in the app was designed by dividing online and offline activities so that university students can execute them in units of learning communities. Through the first and second usability evaluation and expert evaluation, the final prototype was designed and the app screen was designed.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.127-144
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• 2021

The purpose of this study is to redefine the competencies of teacher librarians and to derive implications for training and re-educating teacher librarians by analyzing the priorities of competencies. A questionnaire survey targeting teacher librarians based on analytic hierarchy process has been conducted. The results indicate that in terms of the upper-level areas of competencies, it was found that they prioritized teacher librarians' competencies in the following order: information specialists, teachers, administrators, and cooperative leaders. Analysis of the lower levels of competency indicates that the priorities of the required competencies are listed in the following order: collection development, management and preservation, teaching and learning, media production, information service, library cooperative instruction, library assisted instruction, content curation. Therefore, being able to provide information resources by developing a collection of books to support the educational process in school libraries was found to be a critical competency. It seems necessary to cultivate the capacity to manage online and offline collections and produce and provide various teaching media and services by utilizing school library resources. It seems to give implications for the education of teacher librarians.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.83-90
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• 2022

In order for effective informatics education it is premisd that students have digital literacy. But the absence of informatics education for about 10 years has make students have low digital literacy, and as a result, there are many voices in the school field that it is difficult to have a smooth class. Therefore in this study, the elements of digital literacy required to efficiently operate the 2015 middle school informatics curriculum and digital literacy of middle school students was analyzed. As a result, the students showed biased use of the computing devices and software the frequently use. They were inexperienced in using hardware necessary for learning, understanding basic terms for online collaboration, understanding operating systems, information searching, and producing documents. This study is meaningful in that it provides basic data that serves as a guideline for the direction of digital literacy education for effective informatics education.

• Smart Media Journal
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• v.11 no.5
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• pp.63-74
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• 2022

Initial public offering (IPO) has a legal framework for investor protection, and because there are various quantitative evaluation factors, objective analysis is possible, and various studies have been conducted. In addition, crowdfunding also has several devices to prevent indiscriminate funding as the legal system for investor protection. On the other hand, the blockchain-based cryptocurrency white paper (ICO), which has recently been in the spotlight, has ambiguous legal means and standards to protect investors and lacks quantitative evaluation methods to evaluate ICOs objectively. Therefore, this study collects online-published ICO white papers to detect fraud in ICOs, performs ICO fraud predictions based on BERT, a text embedding technique, and compares them with existing Random Forest machine learning techniques, and shows the possibility on fraud detection. Finally, this study is expected to contribute to the study of ICO fraud detection based on quantitative methods by presenting the possibility of using a quantitative approach using unstructured data to identify frauds in ICOs.