Seungoh Seo;Yonggu Lee;Sehoon Lee;Seongyeol Oh;Junyoung Son
Journal of Aerospace System Engineering
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v.17
no.4
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pp.133-143
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2023
As drones (also known as UAV) become popular with advanced information and communication technology (ICT), they have been utilized for various fields (agriculture, architecture, and so on). However, malicious attackers with advanced drones may pose a threat to critical national infrastructures. Thus, anti-drone systems have been developed to respond to drone threats. In particular, remote identification data (R-ID)-based UAV detection and identification systems that detect and identify illegal drones with R-ID broadcasted by drones have been developed, and are widely employed worldwide. However, this R-ID-based UAV detection/identification system is vulnerable to security due to wireless broadcast characteristics. In this paper, we analyze the security vulnerabilities of DJI Aeroscope, a representative example of the R-ID-based UAV detection and identification system, and propose a replay-attack-based neutralization method using the analyzed vulnerabilities. To validate the proposed method, it is implemented as a software program, and verified against four types of attacks in real test environments. The results demonstrate that the proposed neutralization method is an effective neutralization method for R-ID-based UAV detection and identification systems.
Journal of the Korean Society of Earth Science Education
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v.16
no.2
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pp.291-301
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2023
In this study, the STEAM elements and convergence types which appeared in the creative and convergent activities in authorized elementary school science textbooks for 5th and 6th graders were analyzed. For this study, creative and convergence activities presented in 9 different science textbooks for 5th and 6th graders were selected and the STEAM elements and convergence types were analyzed by each publisher, grade-semester, and science field. The results of this study are as follows. First, there was a large variation by publisher in the total frequency of STEAM elements and the frequency of each element in creative and convergence activities. Second, the ratio of convergence type consisting of two elements was very high, and the higher the number of fused elements, the lower the ratio appeared in overall. Third, the art (A) element had the highest frequency in all grade-semesters, and the technology (T), engineering (E), mathematics (M) elements differed in the distribution of frequency by grade-semesters. Fourth, the engineering (E) element in the 'integration' field, and the art (A) element in the fields of 'movement and energy', 'material', 'earth and universe', and 'life' had the highest frequency.
Journal of Korea Entertainment Industry Association
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v.13
no.4
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pp.255-262
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2019
The informatics curriculum which was revised in 2015 presents the growth of creative and convergent talents as a main goal, and what is essential in the growth of creative and convergent talents is Computational Thinking(CT). In this study, in line with the goal of the growth of creative and convergent talents, the subject of IoT technology and liberal arts and natural sciences integration course was combined with the contents of informatics textbook, and the teaching-learning program was developed. In order to verify the effect of the developed teaching-learning program, the experimental research was conducted, and as a result of study, the mean of the experimental group was 10 points higher than that of the control group. Therefore, it could be known that there was an effect in the teaching-learning program suggested in this study. It is expected that the teaching-learning program suggested in this study can induce the learning motive and interest in SW education by directly implementing SW skill to the various fields of a real life through CT education based on Iot as well as a programing language, and improve convergent and scientific thinking through the experience of solving the problems which are blended with many subjects through liberal arts and natural sciences integration course, and designing them creatively.
KIPS Transactions on Software and Data Engineering
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v.12
no.4
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pp.179-188
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2023
Recently, fake news disguises the form of news content and appears whenever important events occur, causing social confusion. Accordingly, artificial intelligence technology is used as a research to detect fake news. Fake news detection approaches such as automatically recognizing and blocking fake news through natural language processing or detecting social media influencer accounts that spread false information by combining with network causal inference could be implemented through deep learning. However, fake news detection is classified as a difficult problem to solve among many natural language processing fields. Due to the variety of forms and expressions of fake news, the difficulty of feature extraction is high, and there are various limitations, such as that one feature may have different meanings depending on the category to which the news belongs. In this paper, emotional change patterns are presented as an additional identification criterion for detecting fake news. We propose a model with improved performance by applying a convolutional neural network to a fake news data set to perform analysis based on content characteristics and additionally analyze emotional change patterns. Sentimental polarity is calculated for the sentences constituting the news and the result value dependent on the sentence order can be obtained by applying long-term and short-term memory. This is defined as a pattern of emotional change and combined with the content characteristics of news to be used as an independent variable in the proposed model for fake news detection. We train the proposed model and comparison model by deep learning and conduct an experiment using a fake news data set to confirm that emotion change patterns can improve fake news detection performance.
Journal of The Korean Association of Information Education
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v.26
no.5
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pp.341-352
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2022
The wave of a knowledge and information society led by AI, Big Data, and so on is having an all-round impact on our way of life. Therefore the Ministry of Education is in a hurry to strengthen Digital Literacy, including AI and SW Education, by improving the curriculum that can cultivate basic knowledge and capabilities to respond to changes in the future society. It can be seen that establishing a foundation for cultivating Digital Literacy through all subjects and improving basic and in-depth learning in new technology fields such as AI linked to the information curriculum is an essential part for future society. However, research on each content for cultivating Digital and AI literacy is relatively active, while research on teaching and learning strategies is insufficient. Therefore in this study, a CT-based Digital and AI teaching and learning strategy that can foster that was developed and Delphi expert verification was conducted, and the final teaching and learning strategy was completed after evaluating instructor usability and analyzing learner effectiveness.
The lateral soil movement in soft grounds undergoing improvement with application of vertical drains is analyzed on the basis of monitoring data at three fields, in which fifty six monitoring sites are located. Based on the investigations, the criterions are suggested to predict the lateral soil movement. In order to predict the lateral soil movement in the improved soft grounds by using the dimensionless parameter R suggested by Marche & Chapuis (1974), it is desirable that the maximum lateral displacement in the soft ground below the toe of embankment should be applied to calculate R instead of the lateral displacement at the toe of embankment. The lateral soil movement may increase rapidly, if the safety factor of slope is less than 1.4 in case of high ratio of H/B (Thickness of soft ground/Embankment width) such as 1.15 or is less than 1.2 in case of low ratio of H/B such as 0.05. Also, the graph suggested by Tschebotarioff (1973), which illustrates the relationship between the maximum height of embankments and the undrained shear strength of soft grounds, can be applied to the evaluation for the possibility of the lateral soil movement due to embankments on soft grounds.
With the advent of the Internet and the development of mobile digital devices such as smartphones and tablet PCs, the communication service paradigm began to shift from existing voice services to data services. Recently, as social network services (SNS) are activated and 4th industrial revolution technologies centered on ICT (Information and Communication Technologies) such as Big Data, Blockchain, Cloud, and 5G/6G are rapidly developed, the amount of shared data type and the amount of data are increasing rapidly. As the transition to a digital society begins actively, the importance of using data information, as well as the economic and social values of personal information are becoming increasingly important. As a result, they are actively discussing policies to revitalize the data information industry around the world and ways to efficiently obtain, analyze, and utilize increasingly diverse and vast data, as well as to protect/guarantee the rights of information subjects (providers) in various fields such as society, culture, economy, and politics.. In this paper, in order to improve the self-determination right of personal information on data produced by information subjects, and further expand the use of safe data and the data economy, a differentiated data trusts system was considered and suggested. In addition, the components and data trusts procedures necessary to efficiently operate the data trusts system in Korea were considered, and the non-profit data trusts system and the for-profit data trusts system were considered as a way to flexibly operate the data trusts system. Furthermore, the legal items necessary for the implementation of the data trusts system were investigated and considered. In this paper, in order to propose a domestic data trusts system, cases related to existing data trusts systems such as the United States, Japan, and Korea were reviewed and analyzed. In addition, in order to prepare legislation necessary for the data trusts system, data-related laws in major countries and domestic legal and policy trends were reviewed to study the rights that conflict or overlap with existing laws, and differences were investigated and considered. The Data trusts system proposed in this paper is a reasonable system that is expected to recognize the asset value of data in the capitalist market economy system, to provide legitimate compensation for data produced by data subjects, and further to contribute greatly to the use of safe data and creation of a new service market.
Digital transformation refers to the economic and social effects of digitisation and digitalisation. Although digital transformation acts as a useful tool for economic/social development and enhancing the convenience of life, it can have negative effects (misuse of personal information, ethical problems, deepening social gaps, etc.). The government is actively establishing policies to promote digital transformation to secure competitiveness and technological hegemony, however, understanding of digital transformation-related risk issues and implementing policies to prevent them are relatively slow. Thus, this study systematically identifies risk issues of the future society that can be caused by digital transformation based on quantitative analysis of media articles big data through the Embedded Topic Modeling method. Specifically, first, detailed issues of negative effects of digital transformation in major countries were identified. Then detailed issues of negative effects of artificial intelligence in major countries and Korea were identified. Further, by synthesizing the results, future direction of the government's digital transformation policies for responding the negative effects was proposed. The policy implications are as follows. First, since the negative effects of digital transformation does not only affect technological fields but also affect the overall society, such as national security, social issues, and fairness issues. Therefore, the government should not only promote the positive functions of digital transformation, but also prepare policies to counter the negative functions of digital transformation. Second, the detailed issues of future social risks of digital transformation appear differently depending on contexts, so the government should establish a policy to respond to the negative effects of digital transformation in consideration of the national and social context. Third, the government should set a major direction for responding negative effects of digital transformation to minimize confusion among stakeholders, and prepare effective policy measures.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.6
no.10
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pp.107-120
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2016
The purpose of this study is to analyze research trends of bilingual education which are focused on foreigner parent's language education for children from multicultural families in South Korea. After searching, total 36 research papers were selected and analyzed. Results from this study showed that, (1) relevant researches started from 2009, later then the number of researches kept about 4-6 yearly and reached the peak of 11 (31%) in 2004; (2) a large majority (75%) of the analyzed researches published in the magazines relative to a field of language education or children education; (3) diverse research methods were employed, and the number of researches applied on qualitative research methods is similar with on quantitative ; (4) the researches mainly studied on the members of multicultural families (67%), and 10 analyzed researches investigated parents and children together 28%, and 9 targeted on parents or one of them (25%), and 5 just on the children from multicultural families (14%). and, (5) The research topics mainly divided into four fields current bilingual education programs (31%), bilingual education (31%), interaction related to bilingual education (22%), suggestion on policy improvement(17%). Based on the results, discussions and implications for further research and practice on bilingual education and foreigner parent's language education will be provided.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.6
no.4
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pp.279-288
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2016
This study compares interagency linkage in the area of the elementary child care policy in korea and japan and derives the implications related to the elementary child care classes of korea. This study researches linkage method between the ministries in korea and japan focused on the background, the process, the current operating system. The elementary child care service policies of the korea & japan are analysed comparatively in terms of background, budget, goal, linkage ministries, basis of law, administrative units and on the basis of those analyses, the implications related to the elementary child care service policy of korea are derived. The derived implications are as follows : first the sound development of the child becomes the foundation of the development of school and community. Community and school have to strengthen cooperation. Second, child care policy is not the alternatives for overcoming fragmentary problems but has to be carried out considering them variously in broad prospective. Third, korea has to find the effective linkage method between the ministries. Fourth, find the way which interagency policy can be merged as a hub for school. Fifth, korea has to find the way transferring the central operating body from the principal in school to the local government to operate the elementary child care classes successfully. Sixth, positive interest and continuous support of the top policy makers is needed.
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