• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.517-524
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• 2024

Generative AI, exemplified by models like ChatGPT, has revolutionized human-machine interactions in the 21st century. As these advancements permeate various sectors, their intersection with the arts is both promising and challenging. Despite the arts' historical resistance to AI replacement, recent developments have sparked active research in AI's role in artistry. This study delves into the potential of AI in visual arts education, highlighting the necessity of swift adaptation amidst the Fourth Industrial Revolution. This research, conducted at a 4-year global higher education institution located in Gyeongbuk, involved 70 participants who took part in a creative convergence module course project. The study aimed to examine the influence of AI collaboration in visual arts, analyzing distinctions across majors, grades, and genders. The results indicate that creative activities with AI positively influence students' creativity and digital media literacy. Based on these findings, there is a need to further develop effective educational strategies and directions that incorporate AI.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1080-1081
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• 2023

항만 사고 안전을 예방하기 위해 본 챗봇을 만들었다. 다양한 기술들을 사용하여 사용자들이 항만과 관련된 폭넓은 지식을 제공하기 위해 노력했고, 사람들이 안전 수칙을 최대한 지켰으면 하는 바람에서 안전 수칙들을 지속해 환기해 주는 기능들을 첨가했다.

• The Journal of Bigdata
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• v.7 no.2
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• pp.91-102
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• 2022

As artificial intelligence develops, AI chatbot systems are actively taking place. For example, in public institutions, the use of chatbots is expanding to work assistance and professional knowledge services in civil complaints and administration, and private companies are using chatbots for interactive customer response services. In this study, we propose a scenario-based AI voice chatbot system to reduce museum operating costs and provide interactive guidance services to visitors. The implemented voice chatbot system consists of a watcher object that detects the user's voice by monitoring a specific directory in real-time, and an event handler object that outputs AI's response voice by performing inference by model sequentially when a voice file is created. And Including a function to prevent duplication using thread and a deque, GPU operations are not duplicated during inference in a single GPU environment.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.89-98
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• 2021

The Ministry of National Defense aims to create an environment in which transparent and reasonable defense policies can be implemented in real time by establishing the vision of smart defense innovation based on the Fourth Industrial Revolution and promoting innovation in technology-based defense operation systems. Artificial intelligence (AI) based defense technology is at the level of basic research worldwide, includes no domestic tasks, and involves classified military operation data and command control/decision information. Further, it is needed to secure independent technologies specialized for our military. In the army, military power continues to decline due to aging and declining population. In addition, it is expected that there will be more than 500,000 units should be managed simultaneously, to recognize the battle situation in real time on the future battlefields. Such a complex battlefield, command decisions will be limited by the experience and expertise of individual commanders. Accordingly, the study of AI core technologies supporting real-time combat command is actively pursued at home and abroad. It is necessary to strengthen future defense capabilities by identifying potential threats that commanders are likely to miss, improving the viability of the combat system, ensuring smart commanders always win conflicts and providing reasonable AI digital staff based on data science. This paper describes the recent research trends in AI military staff technology supporting commander decision-making, broken down into five key areas.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.135-138
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• 2021

본 논문에서는 예비교사를 위한 AI-STEAM 교육 사례로서 봇빌더를 활용한 챗봇 제작 교육을 실시하고 이를 바탕으로 챗봇 제작 AI-STEAM 교육을 위한 시사점을 제시하였다. 최근 관련 정책이 발표되는 등 인공지능 교육이 학교에서 실시되기 위한 기반이 마련되었다. 인공지능 교육이 학교 현장에 제대로 안착되기 위해서는 현직 교사들에 대한 보수교육 뿐 아니라 교육 및 사범대학의 교원양성과정에서도 인공지능 교육이 실시되어야 할 필요가 있다. 본 논문에서는 교사들의 인공지능 교사교육 요구를 바탕으로 AI-STEAM을 제안하고 다양한 전공의 예비교사를 위한 챗봇 제작 AI-STEAM 교양교육 및 학생 작품 사례를 제시하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.333-334
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• 2022

본 논문에서는 대전 격투 게임에서의 AI 개발을 위한 강화학습 사용 방법을 제안한다. 이 방법은 학습 모델에 상대방의 다양한 패턴을 학습시켜 적은 코드로 효율적인 AI 개발을 할 수 있어 개발 시간을 최소화 할 수 있다. 또한, 이 방법은 복잡한 코드를 추가 또는 제거할 필요 없이 보상과 액션을 조정하여 다양한 종류의 AI를 원하는 만큼 생성할 수 있다는 장점이 있다. 본 논문에서는 Unity 사에서 제공하는 머신러닝 툴인 ML-Agents를 활용하여 강화학습을 통한 대전 격투 게임 AI의 가능성을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.598-600
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• 2023

CCTV가 범죄 예방 및 수사에 사용되는데, 수사를 위해 저화질 CCTV 영상에서 특정인의 얼굴 인식엔 어려움을 겪어 CCTV 본연의 역할의 희석된다. 따라서 본 논문은 저화질 영상을 고화질로 변환하여 얼굴 인식의 정확성을 높일 수 있는 알고리즘을 연구하는 것을 목적으로 한다. 기존에 연구된 인공지능 기반의 업스케일링 알고리즘을 분석하여 K-FACE 데이터셋에 적절한 모델을 제안한다. 이를 위해 2020년 이전과 이후의 AI 업스케일링 관련 연구를 비교 분석한다. 향후 제시된 모델을 대상으로 동일한 환경내에서 K-FACE 데이터셋을 학습시켜 통일된 기준의 지표 산출이 필요하다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.717-718
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• 2022

본 연구에서는 예비교사의 인공지능 융합교육 역량 강화를 위한 캡스톤 디자인 기법 활용 인공지능 융합교육 프로그램을 개발하고 효과를 검증하였다. 개발된 교육 프로그램은 예비교사들이 스크래치 프로그래밍과 머신러닝포키즈, 캡스톤 디자인의 이해를 바탕으로, 인공지능 활용 융합 수업을 위한 주제 선정, 수업 설계 및 개발 후, 마이크로티칭을 하고 동료 평가 및 피드백을 하도록 조직되었다. 이는 2022년 1학기 K대학의 교양 강좌를 수강하는 예비교사들에게 처치되었다. 그 결과, 실험 대상자들의 인공지능 교수효능감의 사전-사후 t-검정에서 통계적으로 유의한 효과가 있음을 확인되었다.

• Science of Emotion and Sensibility
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• v.26 no.4
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• pp.115-124
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• 2023

This study explores the intersection of literary studies and artificial intelligence (AI), focusing on the common theme of human emotions to foster complementary advancements in both fields. By adopting a comparative perspective, the paper investigates emotion as a shared focal point, analyzing various emotion-related concepts from both literary and AI perspectives. Despite the scarcity of research on the fusion of AI and literary studies, this study pioneers an interdisciplinary approach within the humanities, anticipating future developments in AI. It proposes that literary sensibility can contribute to AI by formalizing subjective literary emotions, thereby enhancing AI's understanding of complex human emotions. This paper's methodology involves the terminology-centered extraction of emotions, aiming to blend subjective imagination with objective technology. This fusion is expected to not only deepen AI's comprehension of human complexities but also broaden literary research by rapidly analyzing diverse human data. The study emphasizes the need for a collaborative dialogue between literature and engineering, recognizing each field's limitations while pursuing a convergent enhancement that transcends these boundaries.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.281-288
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• 2023

This study aimed to develop an integrated arts education program for improving AI literacy among elementary school students. First, we developed two thematic programs that are research on the goals of the art, music, physical curriculum in the 2022 revised elementary school curriculum, and a matrix of goals and elements of integrated art education. The developed program was revised and supplemented through the first expert validity test, and the second revision was made based on the results of students' AI literacy pre/post-test and satisfaction survey with the program. Finally, the final program was developed through the third expert validity test. We hope that the developed program will be used as a convergence education program to cultivate AI literacy in elementary school students.