• Title/Summary/Keyword: 현대사회

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Intrusion Detection Methodology for SCADA system environment based on traffic self-similarity property (트래픽 자기 유사성(Self-similarity)에 기반한 SCADA 시스템 환경에서의 침입탐지방법론)

  • Koh, Pauline;Choi, Hwa-Jae;Kim, Se-Ryoung;Kwon, Hyuk-Min;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.2
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    • pp.267-281
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    • 2012
  • SCADA system is a computer system that monitors and controls the national infrastructure or industrial process including transportation facilities, water treatment and distribution, electrical power transmission and distribution, and gas pipelines. The SCADA system has been operated in a closed network, but it changes to open network as information and communication technology is developed rapidly. As the way of connecting with outside user extends, the possibility of exploitation of vulnerability of SCADA system gets high. The methodology to protect the possible huge damage caused by malicious user should be developed. In this paper, we proposed anomaly detection based intrusion detection methodology by estimating self-similarity of SCADA system.

Video Camera Model Identification System Using Deep Learning (딥 러닝을 이용한 비디오 카메라 모델 판별 시스템)

  • Kim, Dong-Hyun;Lee, Soo-Hyeon;Lee, Hae-Yeoun
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.8
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    • pp.1-9
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    • 2019
  • With the development of imaging information communication technology in modern society, imaging acquisition and mass production technology have developed rapidly. However, crime rates using these technology are increased and forensic studies are conducted to prevent it. Identification techniques for image acquisition devices are studied a lot, but the field is limited to images. In this paper, camera model identification technique for video, not image is proposed. We analyzed video frames using the trained model with images. Through training and analysis by considering the frame characteristics of video, we showed the superiority of the model using the P frame. Then, we presented a video camera model identification system by applying a majority-based decision algorithm. In the experiment using 5 video camera models, we obtained maximum 96.18% accuracy for each frame identification and the proposed video camera model identification system achieved 100% identification rate for each camera model.

Digital Filter Algorithm based on Mask Matching for Image Restoration in AWGN Environment (AWGN 환경에서 영상복원을 위한 마스크매칭 기반의 디지털 필터 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.214-220
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    • 2021
  • In modern society, various digital communication equipments are being used due to the influence of the 4th industrial revolution, and accordingly, interest in removing noise generated in the data transmission process is increasing. In this paper, we propose a filtering algorithm to remove AWGN generated during digital image transmission. The proposed algorithm removes noise based on mask matching to preserve information such as the boundary of an image, and uses pixel values with similar patterns according to the pattern of the input pixel value and the surrounding pixels for output calculation. To evaluate the proposed algorithm, we simulated with existing AWGN removal algorithms, and analyzed using enlarged image and PSNR comparison. The proposed algorithm has superior AWGN removal performance compared to the existing method, and is particularly effective in images with strong noise intensity of AWGN.

A Study on the Methods of Communication Education based on 'Empathy'; for Example <(500) Days of Summer> ('공감'을 기반으로 한 의사소통교육 방법 모색 ; 영화 <500일의 섬머>를 예로)

  • Kim, Kyung Ae
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.279-285
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    • 2021
  • This paper criticized that online classes during the Covid-19 period were centered on knowledge and information education, and sought ways to improve empathy as a way to improve students' sociality. The teaching-learning process was designed around the movie <(500) Days of Summer> which has the theme and story of parting and growth. On this paper the stage of empathy was divided into three stages, recognize-into, feeling-into, emotional-transaction stage. In particular, considering the process of transitioning from emotional empathy to behavioral empathy as the key to communication education, the class was designed in five stages, with an expression stage between the feeling-into stage and the emotional-transaction stage. This course is possible when learners sympathize with the work itself and reflect on their own narrative, so literary therapeutic was used, and students's response statements were collected to prove that this process is meaningful for improving empathy. In this article, the class was designed for the movie <(500) Days of Summer>, but this teaching-learning model can be applied to other contemporary film texts.

Satisfaction and Effectiveness of Online Software Liberal Arts Education (온라인 소프트웨어 교양 교육의 만족도와 효과성에 관한 연구)

  • Choi, Jin-Ho;Shim, Jaeruen
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.6
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    • pp.930-935
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    • 2022
  • The ability to use software is an essential competency in modern society. As a result, programming education is conducted from elementary school to university. In case of programming education for non-majors conducted in the liberal arts at universities, if it is conducted online using high-quality contents, problems such as the shortage of professional professor and the limitation of practice time can be solved. Also, it has the advantage of providing students with enough time to think and solve problems. In this paper, the possibility of online lectures was investigated through a survey before and after lectures in software liberal arts courses conducted online. From the results of the survey, it is judged that the goal of software education can be achieved even if software lectures are conducted online, which is to improve computational thinking and problem-solving skills.

Analysis of Overseas Educational Informatization Infrastructure Evaluation Indicators (해외 교육정보화 인프라 평가 지표 분석)

  • Ahn, Sung Hun;Lee, Sanghyeon
    • Journal of Creative Information Culture
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    • v.6 no.1
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    • pp.49-56
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    • 2020
  • The purpose of this study is to examine overseas educational informatization infrastructure evaluation indicators and create data for establishing and developing educational informatization policy directions in the future. We analyzed the cases of OECD PISA, UNESCO, ITU, the German Wetelsmann Foundation, the U.S. Department of Education, and China as educational indicators. As a result of the analysis, evaluation items for electrical and telecommunication facilities such as the school's Internet connection network were commonly found in all indicators, and the ratio of learners to PCs (LCR) was also found in 3 out of 4 indicators. Through this study, it is expected that it will be of great help in conducting educational informatization evaluation suitable for the rapidly changing modern society and developing evaluation tools.

Digital Filter Algorithm based on Local Steering Kernel and Block Matching in AWGN Environment (AWGN 환경에서 로컬 스티어링 커널과 블록매칭에 기반한 디지털 필터 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.7
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    • pp.910-916
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    • 2021
  • In modern society, various digital communication equipment is being used due to the influence of the 4th industrial revolution. Accordingly, interest in removing noise generated in a data transmission process is increasing, and research is being conducted to efficiently reconstruct an image. In this paper, we propose a filtering algorithm to remove the AWGN generated in the digital image transmission process. The proposed algorithm classifies pixels with high similarity by selecting regions with similar patterns around the input pixels according to block matching to remove the AWGN that appears strongly in the image. The selected pixel determines the estimated value by applying the weight obtained by the local steering kernel, and obtains the final output by adding or subtracting the input pixel value according to the standard deviation of the center mask. In order to evaluate the proposed algorithm, it was simulated with existing AWGN removal algorithms, and comparative analysis was performed using enlarged images and PSNR.

The Impacts of Chinese Student's Leaning Flow and Leaning Interest on Person-Organizational Fit: Centered on the modulating effect of self-efficacy (중국유학생의 학습몰입 및 학습흥미가 개인-조직적합성에 미치는 영향 -자기효능감의 조절효과를 중심으로-)

  • Jang, Jun-ho;Xue, Jia
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.269-274
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    • 2022
  • With the advent of the Fourth Industrial Revolution modern society demands global convergence talent with expertise. The purpose of this study is to suggest the Person-organizational Fit can be enhanced only when university institutions enhance the learning flow and learning interest of Chinese students. Only when the suitability of Chinese students and Univ. is good will it be of great help to the educational performance and administrative management of international students, and the learning atmosphere and university image can be promoted. However, international students with excessive self-efficacy may have a negative effect on Person-organizational Fit to making it difficult to educate and manage students. On the other hand, for international students with low self-efficacy, the higher the immersion in learning, the higher the individual-organization (Univ) suitability.

Thermal Change Prediction of Magnetic Switch Using Regression Analysis (회귀 분석 기법을 활용한 전자 개폐기의 온도 변화예측)

  • Moon, Cheolhan;Yeon, Yeong-Mo;Kim, Seung-Hee;Min, Jun-Ki
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.749-755
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    • 2022
  • Electricity is essential energy in modern society, such as being used in various industries. However, the rate of fires occurring on electric wiring to deal with it is very high. In this work, we implemented a system to predict the temperature change of an electric circuit through analysis using various regression models. To do so, we collected the temperature data of 27 types of magnetic switches which control electric circuits as well as trained the regression models by using the collected temperature data. In our experiments, we confirmed that the regression models can be trained at a sufficiently usable level since the difference between the actual temperature and predicted temperature is about 4℃. The results of our work will be useful to predict the temperature of electric circuits and preventing fires on them.

Design proposal through CPTED case analysis (CPTED 사례 분석을 통한 디자인 제안)

  • Han, Hyun-Suk
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.439-444
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    • 2021
  • In the modern society, people live in an environment while sharing a space with each other and secure their own space for the safety. As interest in "Crime Prevention Through Environmental Design (CPTED)" securing the safety of citizens from crime through environmental design is increasing, this research studies the public space design realized in public environments which is explored through the understanding of the concept of public design. Through the various case studies conducted with the concept and cases of public design, a standard for proceeding with crime prevention design has been established. The research analyzes the results of successful cases with ten extracted keywords, and finally three design solutions for crime prevention were proposed through extracted keywords. Each design solution was evaluated by 25 CPTED researchers who participated in this project with Likert's 5-point scale. Based on final evaluation results, the research will further investigate better and safe approaches and solutions for CPTED.