• KEPCO Journal on Electric Power and Energy
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• 제6권4호
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• pp.399-404
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• 2020

There are many attempts to apply AI technology to diagnose facilities or improve the work efficiency of the power industry. The emergence of new machine learning technologies, such as deep learning, is accelerating the digital transformation of the power sector. The problem is that traditional power systems face security risks when adopting state-of-the-art AI systems. This adoption has convergence characteristics and reveals new cybersecurity threats and vulnerabilities to the power system. This paper deals with the security measures and implementations of the power system using machine learning. Through building a commercial facility operations forecasting system using machine learning technology utilizing power big data, this paper identifies and addresses security vulnerabilities that must compensated to protect customer information and power system safety. Furthermore, it provides security guidelines by generalizing security measures to be considered when applying AI.

• 한국IT서비스학회지
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• 제20권6호
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• pp.63-81
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• 2021

Joint financial network of Korea Financial Telecommunications and Clearings Institute, which is an essential facility with a natural monopoly, maintained its closedness as monopoly/public utility model, but it has evolved in the form of open banking in order to obtain domestic fintech competitiveness in the rapidly changing digital financial ecosystem such as the acceleration of Big Blur. In accordance with digital transformation strategy of financial institutions, various ICT companies are actively participating in the financial industries, which has been exclusive to banks, through the link technology called Open API. For this reason, there has been a significant change in the financial service supply chain in which ICT companies participate as users. The level of security in the financial service supply chain is determined based on the weakest part of the individual components according to the law of minimum. In addition, there is a perceived risk of personal information and financial information leakage among the main factors that affect users' intention to accept services, and appropriate protective measures against perceived security risks can be a catalyst, which increases the acceptance of open banking. Therefore, this is a study on factors affecting the introduction of open banking to achieve financial innovation by developing an open banking security control model for financial institutions, as a protective measures to user organizations, from the perspectives of cyber financial security and customer information protection, respectively, and surveying financial security experts. It is expected, from this study, that effective information protection measures will be derived to protect the rights and interests of financial customers and will help promote open banking.

• 융합보안논문지
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• 제22권2호
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• pp.9-19
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• 2022

최근, 디지털전환의 확대로 사이버공격의 위협에 더욱 더 노출되고 있으며, 각 기관 및 기업은 공격이 유입되는 것을 막기 위해 시그니처 기반의 침입차단시스템을 네트워크 가장 앞단에 운영중에 있다. 그러나, 관련된 ICT시스템에 적절한 서비스를 제공하기 위해 엄격한 차단규칙을 적용할 수 없어 많은 오이벤트가 발생되고, 운영효율이 저하되고 있다. 따라서, 공격탐지 정확도 향상을 위하여 인공지능을 이용한 많은 연구과제가 수행되고 있다. 대부분의 논문은 정해진 연구용 데이터셋을 이용하여 수행하였지만, 실제 네트워크에서는 연구용 학습데이터셋과는 다른 로그를 이용해야만 하기 때문에 실제 시스템에서는 사용사례는 많지 않다. 본 논문에서는 실제 시스템에서 수집한 보안이벤트 로그에 대하여 주요 공격키워드를 분류하고, 주요 키워드별로 가중치를 부과, TF-IDF를 이용하여 유사도 검사를 수행후 실제 공격여부를 판단하는 기법에 대하여 제안하고자 한다.

• 한국IT서비스학회지
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• 제23권1호
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• pp.1-10
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• 2024

The IT environment is changing due to the acceleration of digital transformation in enterprises and organizations. This expansion of the digital space makes centralized cybersecurity controls more difficult. For this reason, cyberattacks are increasing in frequency and severity and are becoming more sophisticated, such as ransomware and digital supply chain attacks. Even in large organizations with numerous security personnel and systems, security incidents continue to occur due to unmanaged and unknown threats and vulnerabilities to IT assets. It's time to move beyond the current focus on detecting and responding to security threats to managing the full range of cyber risks. This requires the implementation of asset Inventory for comprehensive management by collecting and integrating all IT assets of the enterprise and organization in a wide range. IT Asset Management(ITAM) systems exist to identify and manage various assets from a financial and administrative perspective. However, the asset information managed in this way is not complete, and there are problems with duplication of data. Also, it is insufficient to update of data-set, including Network Infrastructure, Active Directory, Virtualization Management, and Cloud Platforms. In this study, we, the researcher group propose a new framework for automated 'Comprehensive IT Asset Management(CITAM)' required for security operations by designing a process to automatically collect asset data-set. Such as the Hostname, IP, MAC address, Serial, OS, installed software information, last seen time, those are already distributed and stored in operating IT security systems. CITAM framwork could classify them into unique device units through analysis processes in term of aggregation, normalization, deduplication, validation, and integration.

• 한국산학기술학회논문지
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• 제20권9호
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• pp.1-6
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• 2019

영상 인식을 위한 한 방법으로 템플릿 매칭이 있다. 기존의 템플릿 매칭에서는 주어진 매칭 영상 내에서 템플릿의 2차원 이동 변위를 바꿔가면서 블록 매칭 알고리즘(BMA)을 수행한다. 이 블록 매칭 알고리즘 수행 중에 템플릿의 크기와 모양은 바뀌지 않는다. 그리고 각각의 2차원 이동변위에 해당하는 블록에서 유사성 척도(similarity measure)로 계산된 매칭 에러 값을 비교하여 대상 체의 위치를 결정한다. 2차원 이동변위만 고려하기 때문에 템플릿과 매칭 영상에서 대상 체의 크기와 방향이 일치하지 않으면 성공률이 떨어진다. 반면 본 논문의 경우는 템플릿의 2차원 방향과 크기를 조정하는 변수를 새로이 추가하고 각각의 2차원 이동 변위에 해당하는 블록에서 이 변수의 최적 값이 자동으로 계산된다. 이렇게 계산된 최적 값을 사용하여, 각 블록에 최적인 템플릿으로 자동 변형된다. 그리고 자동 변형된 템플릿을 기준으로 각 블록의 매칭 에러 값이 계산된다. 이렇게 방향과 크기 차이가 보정된 각 블록의 매칭 에러 값들을 비교하여 대상 체의 위치를 결정한다. 따라서 방향과 크기 차이에 대해 좀 더 안정적인 결과 값을 얻을 수 있다. 사용의 편의를 위해서, 알고리즘을 템플릿 영상 외에 추가의 정보, 예를 들면, 거리정보를 필요로 하지 않는 닫힌 형태로 설계하는 데 주력한다.

• 복식
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• 제55권8호
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• pp.112-126
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• 2005

The purpose of this study is to analyze the aesthetic characteristics of 'movement' expression in modern fashion(1910-2004) based on a study of modern fine arts which adopted 'movement' element in their work. In this study the meaning of movement was defined as motion, changing position and transformation. Literature survey through books and research papers and demonstrative study with fashion collection photos were undertaken. The results wert as follows ; 1) Kinetic art, optical an, light kinetic art and technology art such as video and computer art have adopted 'movement' element in their work. 2) The plasticities of 'movement' fine arts were identified as mutual penetration, increase of visibility, use of non-traditional materials and dynamism. The internal meanings were identified as expansion of aesthetic experience and the concept of fine art, optimistic attitude on technology, spectator participation and integration of art and life. 3) The 'movement' expression in modern fashion was distinctively found in 1910s-20s(avant-garde fashion), 1960s (kinetic and optical art fashion) and mid 1990s to 2004 (techno-cyber fashion). 4) The plasticities of the 'movement' expression in modern fashion were identified as non-definition, use of non-traditional materials, dynamism. The internal meanings were identified as expansion of aesthetic experience and the concept of dress, optimistic attitude on technology, playfulness through participation. In conclusion, the expression of 'movement' in modern fashion has optimistic viewpoint on the development of modern society and is one of the interesting design points which will be pursued in the fellowing years.

• 한국콘텐츠학회논문지
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• 제9권10호
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• pp.492-499
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• 2009

본 연구는 학습자의 효과적 학습을 위해 온라인 상 콘텐츠 품질을 구성하는 요소와 오프라인 강의가 콘텐츠 품질을 인식하는데 얼마나 영향을 주는가를 알아보기 위한 연구이다. 다속성 태도모델(multiattribute attitude model)의 속성만족도-중요도 모델(attribute satisfaction-importance model)을 중심으로 온라인 학습에 있어 콘텐츠 품질이 학습태도에 미치는 영향과 오프라인 강의를 병행했을 때의 학습태도(learning attitude) 형성의 변화에 대한 관계를 살펴보고자 한다. 콘텐츠 만족도에 대한 신념(belief)은 콘텐츠 품질을 구성하는 요소로 음성강의, 동영상강의, WBI방식 강의로 나누어 평가한다. 여기에 웹상의 강의와 오프라인 강의를 병행했을 때 형성되는 학습태도의 변화에 대해 연구한다.

• 패션비즈니스
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• 제18권5호
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• pp.171-183
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• 2014

In general, the idea of fun is understood to be associated with interesting things, playfulnesses, joy, pleasure, etc. The "fun culture," which seeks enjoyment and pleasure through life, is a characteristic of elements observed in today's society and culture. This exerts a powerful impacts on the business operation, marketing, and product manufacturing. Moreover, it is accepted as one of remarkable phenomena representing the changing trends of fashion in the 21st century. The objectives of this study were to analyze and categorize the fun motifs observed in fashion designer Walter Van Beirendonck 's collections, to examine their formative characteristics, and to establish academic approaches and analytic framework in studying the fun phenomenon emerging in fashion. As to research methods, this study laid a theoretical ground by reviewing the related literature and previous studies, and conducted a positive case study using the data on Walter Van Beirendonck's collections and exhibitions. According to the results of this study, the fun motifs represented in Walter Van Beirendonck's collections are largely categorized into "deviation from rules," "humorous and obscene graphic images," "introduction and transformation of heterogeneous elements," "women with male gender' etc. On the other side of Walter Van Beirendonck's fashion are sex, sexual humors, sexuality, fetishism, love, form, body, language, social phenomena, harmony between nature and life, consumerism, race, shamanism, tribal rituals, nation, cultural collision, transcendent things, science fictions, cyber Space, dream, alien, future, fairytale, fantasy etc. which are expressed by using fun motifs. Moreover, these themes are led to masculinity and fantasy.

• 한국인터넷방송통신학회논문지
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• 제20권6호
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• pp.137-144
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• 2020

코로나 19의 확산으로 온라인 수업에 대한 수요가 증가하고 있다. 이에 대학들은 다양한 형태의 온라인 강의를 도입하고 있으나 현장에서는 여러가지 문제들이 발생하고 있다. 학습자들은 강의와 시스템 품질에 대한 불만을 제기하고 있으며, 교수들은 온라인 수업 준비 및 진행에 대한 어려움을 호소하고 있다. 본 연구에서는 양방향 온라인 강의의 수업 상황을 분석하고, 수업 상황에서 교수자가 느끼는 불편함을 유형화 하였다. 연구자는 이러한 문제를 해결하기 위한 방안을 시스템과 행정적 요소로 나누어 제안하였다. 양방향 온라인 강의의 안정적 정착은 대학의 디지털 전환을 촉진할 것이다.

• 디지털산업정보학회논문지
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• 제20권2호
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• pp.11-25
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• 2024

This study aims to analyze research trends in digital twin focusing on Germany, the US, and Korea. In Elsevier's Scopus, we collected 4,657 papers about digital twin published in from 2019 to 2023. Keyword frequency and centrality analysis were conducted on the abstracts of the collected papers. Through the obtained keyword frequencies, we tried to identify keywords with high frequency of occurrence and through centrality analysis, we tried to identify central research keywords for each country. In each country, 'digital_twin', 'machine_learning', and 'iot' appeared as research keywords with the highest interest. As a result of the centrality analysis, research on digital twin, simulation, cyber physical system, Internet of Things, artificial intelligence, and smart manufacturing was conducted as research with high centrality in each country. The implication for Korea is that research on virtual reality, digital transformation, reinforcement learning, industrial Internet of Things, robotics, and data analysis appears to have been conducted with low centrality, and intensive research in related areas appears to be necessary.