• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.77-82
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• 2019

AI is applied increasingly to overall industries such as living, medical, financial service, autonomous car, etc. thanks to rapid technology development. AI-leading countries are strengthening their competency to secure competitiveness since AI is positioned as the core technology in $4^{th}$ Industrial Revolution. Although Korea has the competitive IT infra and human resources, it lags behind traditional AI-leaders like United States, Canada, Japan and, even China which devotes all its might to develop intelligent technology-intentive industry. AI is the critical technology influencing on the national industry in the near future according to advancement of intelligent information society so that concentration of capability is required with national interest. Also, joint development with global AI-leading companies as well as development of own technology are crucial to prevent technology subordination. Additionally, regulatory reform and preparation of related law are very urgent.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.261-266
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• 2018

This study aimed to provide an overview of artificial intelligence based music composition programs. The artificial intelligence-based composition program has shown remarkable growth as the development of deep neural network theory and the improvement of big data processing technology. Accordingly, artificial intelligence based composition programs for composing classical music and pop music have been proposed variously in academia and industry. But there are several limitations: devaluation in general populations, missing valuable materials, lack of relevant laws, technology-led industries exclusive to the arts, and so on. When effective measures are taken against these limitations, artificial intelligence based technology will play a significant role in fostering national competitiveness.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.173-182
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• 2016

AI (Artificial Intelligence) has attracted interest as a key element for technological advancement in various fields. In Korea, internet companies are leading the development of AI business technology. Active government funding plans for AI technology has also drawn interest. But not everyone is optimistic about AI. Both positive and negative opinions coexist about AI. However, attempts on analyzing people's opinions about AI in a quantitative way was scarce. In this study, we used text mining on SNS (Social Networking Service) to collect opinions about AI. And then we performed a comparative analysis about whether people view it as a positive thing or a negative thing and performed a comparative analysis to recognize popular key-words. Based on the results, it was confirmed that the change of key-words and negative posts have increased through time. And through these results, we were able to predict trend about AI.

• Review of KIISC
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• v.26 no.2
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• pp.35-38
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• 2016

본 논문에서는 핀테크 보안에 활용 가능한 딥러닝 기술을 살펴본다. 먼저 인공지능과 관련된 보안 이슈를 인공지능이 사람을 위협하는 상황에 대한 보안(Security FROM AI), 인공지능 시스템이나 서비스를 악의적인 공격으로부터 보호하는 이슈(Security OF AI), 인공지능 기술을 활용해 보안 문제를 해결하는 것(Security BY AI) 3가지로 구분하여 살펴본다. Security BY AI의 일환으로 딥러닝에 기반한 비정상탐지(anomaly detection)과 회귀분석(regression)기법을 설명하고, 이상거래탐지, 바이오인증, 피싱, 파밍 탐지, 본인확인, 명의도용탐지, 거래 상대방 신뢰도 분석 등 핀테크 보안 문제에 활용할 수 있는 방안을 살펴본다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.673-674
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• 2020

의식주 중에서 자신을 표현하고 외부와의 교류를 할 수 있는 분야는 패션분야로서 인간 생활과 밀접한 관계를 가지고 있으며 사람들의 개인화된 성향 변화 및 인터넷 환경의 개선으로 트렌드는 빠르게 변화하고 있다. 인공지능 기술의 발전은 단순히 객체의 검출 및 분류에서 벗어나 패션 아이템의 분석 및 세부적인 속성을 분석할 수 있는 수준에 다다랐으며 인공지능 기술을 활용하여 사용자에게 추천할 수 있는 서비스가 출시되고 있다. 패션 트렌드의 빠른 변화 및 인공지능 기술의 발전으로 이를 활용한 플랫폼에 기반을 두어 디자이너에게는 디자인 기술을 향상시킬 수 있으며 사용자에게는 개인화된 제품을 구매할 수 있는 플랫폼 개발이 요구되고 있다. 본 논문에서는 인공지능 기술 기반 패션 분석 기술 개발을 위하여 패션 검출 모듈, 패션 검색 모듈, 패션 검색을 위한 벡터 검색 모듈, 상하의 분리를 위한 세그먼테이션 모듈, 패션 복종 분류 모듈을 개발하여 통합하였으며 패션 검색 정확도는 Top-5 기준 75.28%, 벡터 검색 속도는 벡터당 0.002m sec 이하, 세그먼테이션 추출 정확도 87.6%이상, 패션 검출 결과 IoU 0.5 환경에서 96.2%, 복종분석 90.54%의 성능을 보였다.

• Broadcasting and Media Magazine
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• v.28 no.2
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• pp.60-74
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• 2023

미디어 콘텐츠 편집 기술은 콘텐츠 제작 과정에 필수적으로 요구되는 기술로, 비디오 특성 기반 장르 분류 기술, 자동 장면 분할 기술, 객체 인식 기술 등으로 구분될 수 있다. 코로나19 이후 미디어 콘텐츠 시장은 폭발적으로 성장하였으며, 인공지능을 활용하여 콘텐츠를 보다 쉽게 제작하려는 요구가 증가하면서 인공지능 기반의 미디어 콘텐츠 제작 및 편집 기술에 대한 연구 개발이 활발히 진행되고 있다. 본고에서는 미디어 콘텐츠 제작 과정에 적용 가능한 인공지능 기반의 미디어 편집 기술에 대한 개발현황에 대하여 살펴본다.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.741-749
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• 2022

The purpose of this study is to find out what kind of media perception can be experienced by the audience when artificial intelligence technology meets art, where new technologies are invented one after another. Among the artificial intelligence works, I selected works that stand out in relation to perception and investigated what kind of media perception the audience experiences when artificial intelligence technology meets art. By examining the characteristics of machine hallucinations, uncanny, and artificial empathy with the media perception of artificial intelligence art, these perceptions were ultimately identified as aura perception within family resemblance. In the future, artificial intelligence technology will develop further and artists will not stop experimenting with them. It is expected that the works created by artists will expand the audience's perceptual experience while providing new experiences to the audience.

• Trans-
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• v.13
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• pp.35-58
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• 2022

This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.41-49
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• 2024

The advancement of artificial intelligence on a global scale is significantly transforming life. In the field of education, there is a strong emphasis on actively utilizing AI and fostering creatively integrated talents with diverse knowledge. In alignment with this trend, there is a paradigm shift in AI education across primary, middle, high school, as well as university and graduate education. Leading AI schools and specialized high schools are dedicated to enhancing students' AI capabilities, while universities integrate AI into software courses or establish new AI departments to nurture talent. In AI-integrated education graduate programs, national efforts are underway to educate instructors from various disciplines on applying AI technology to the curriculum. In this context, specialized high schools are also restructuring their departments to cultivate technological talent in AI, tailored to students' characteristics and career paths. While the current education focuses primarily on the fundamental concepts and technologies of AI, there is a need to address the aspect of developing practical problem-solving skills. Therefore, this research aims to compare and analyze essential educational courses in AI-leading schools, AI-integrated high schools, AI high schools, university AI departments, and AI-integrated education graduate programs. The goal is to propose the necessary educational courses for AI education in specialized high schools, with the expectation that a more advanced curriculum in AI education can be established in specialized high schools through this effort.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.235-236
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• 2022

본 논문에서는 인공지능 교육에서 소외계층의 지원 방안을 도출하기 위하여 소외계층과 일반 학생의 인공지능 교육과 관련된 여러 요인의 실태를 조사하였다. 실태 조사 결과를 소외계층과 일반 학생을 비교하여, 소외계층의 인공지능 교육에서 시사점을 도출하고자 하였다. 연구를 위하여 인공지능 교육 관련 실태를 조사할 수 있는 설문을 구성하였으며, 온라인을 통해 설문을 진행하였다. 연구 결과, 소외계층 662명과 일반 학생 1,482명이 설문에 참여하였다. 소외계층은 일반 학생보다 인공지능에 대한 관심이 높았으며, 프로그램이 언어나 피지컬 컴퓨팅을 경험한 학생 비율이 높았다. 또한, 인공지능 직&·간접적 경험의 비율은 일반 학생과 비슷한 수준이었다. 하지만 인공지능 교육 경험 비율은 일반 학생이 약 20% 높았다. 이러한 내용을 종합하였을 때, 인공지능 교육에 대한 관심은 높지만, 인공지능 교육을 받는 학생의 비율은 낮은 것을 확인할 수 있었다.