• The Mathematical Education
• /
• v.63 no.2
• /
• pp.255-272
• /
• 2024

This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.

• Journal of Advanced Technology Convergence
• /
• v.1 no.2
• /
• pp.01-09
• /
• 2022

Recently, safety issues in companies and public institutions are no longer a task that can be postponed, and when a major safety accident occurs, not only direct financial loss, but also indirect loss of social trust in the company and public institution is greatly increased. In particular, in the case of a fatal accident, the damage is even more serious. Accordingly, as companies and public institutions expand their investments in industrial safety education and prevention, open AI learning model creation technology that enables safety management services without being affected by user behavior in industrial sites where high-risk situations exist, edge terminals System development using inter-AI collaboration technology, cloud-edge terminal linkage technology, multi-modal risk situation determination technology, and AI model learning support technology is underway. In particular, with the development and spread of artificial intelligence technology, research to apply the technology to safety issues is becoming active. Therefore, in this paper, an open cloud platform design method that can support AI model learning for high-risk site safety management is presented.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.213-221
• /
• 2021

With the advent of the 4th industrial revolution, the need for artificial intelligence education has increased. The online learning environment caused by COVID-19 made it possible to use variety of artificial intelligence platforms. In this study, an aritificial intelligence class plan was developed and proposed to achieve the goal of artificial intelligence education using an AI platform. The AI platform used is AI for Oceans, With the theme of creating a program for the environment, designed a 6-hour project class using Novel Engineering-based on STEAM model. Students experience AI for Oceans enough time and learn supervised learning by experience. Based on understanding of supervised learning, students design their own programs for the environment using Entry's AI blocks. In this study, for AI convergence education, this lesson was developed and presented with the goal of acquiring the creative problem solving ability and integrated thinking ability by using the principles of artificial intelligence to solve problems.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.713-722
• /
• 2024

This study highlights the impact of Artificial Intelligence (AI) technology on journalism, discussing its utility and addressing major ethical concerns. Broadcasting companies and media institutions, such as the Bloomberg, Guardian, WSJ, WP, NYT, globally are utilizing AI for innovation in news production, data analysis, and content generation. Accordingly, the ecosystem of AI journalism will be analyzed in terms of scale, economic feasibility, diversity, and value enhancement of major media AI service types. Through the previous literature review, this study identifies key ethical and social issues in AI journalism as well. It aims to bridge societal and technological concerns by exploring mutual development directions for AI technology and the media industry. Additionally, it advocates for the necessity of integrated guidelines and advanced AI literacy through social consensus in addressing these issues.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.937-940
• /
• 2020

본 논문은 AI 기술을 기반으로 텍스트 스크립트를 자동으로 인식하고 영상 합성 기술을 응용하여 텍스트 정보를 시각화하는 AI 아나운서 소프트웨어 연구에 대하여 기술한다. 기존의 AI 기반 영상 정보 전달 서비스인 AI 앵커는 텍스트를 인식하여 영상을 합성하는데 오랜 시간이 필요하였으며, 특정 인물 이미지로만 영상 합성이 가능했기 때문에 그 용도가 제한적이었다. 본 연구에서 제안하는 방법은 Tacotron 으로 새로운 음성을 학습 및 합성하여, LRW 데이터셋으로 학습된 모델을 사용하여 자연스러운 영상 합성 체계를 구축한다. 단순한 얼굴 이미지의 합성을 개선하고 다채로운 이미지 제작을 위한 과정을 간략화하여 다양한 비대면 영상 정보 제공 환경을 구성할 수 있을 것으로 기대된다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.4
• /
• pp.733-740
• /
• 2024

The purpose of this study is to activate rehabilitation exercises to prevent MCI (mild cognitive impairment) in the elderly at home. Through the convergence of AI and rehabilitation exercise, we will be able to provide integrated services of medical care and rehabilitation exercise that enable integrated health management by activating rehabilitation exercise linkage in medically vulnerable communities such as rural areas and establishing exercise data. To this end, as a convergence development plan for AI and rehabilitation exercise, interdisciplinary experts will participate to produce and distribute game and rehabilitation exercise instruction manuals by type to improve cognitive function and musculoskeletal function, and systematize rehabilitation exercise programs needed for the elderly at home. The development, operation, and education of physical fitness assessment manuals can be expanded and will be of great help in early prevention of dementia.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.1053-1054
• /
• 2023

본 연구는 이기종 기체 센서를 활용하여 식품의 부패 및 발효 정도를 측정하기 위한 AI 기반 식품 품질 관리용 전자코에 관한 내용이다. 정확한 부패 및 발효 정도 측정을 위해 신호 처리 및 분석 기술을 활용하며, 로지스틱 분석 및 회귀 분석을 통해 결과를 도출하고자 한다. 이는 인간의 후각으로 정확하게 맡기 힘든 냄새를 측정함으로써 식중독 사고의 방지 및 식품의 생산/보관/운송을 효율적으로 관리할 수 있다. 또한, 본 연구 결과를 바탕으로 환경, 농업, 의료 등 다양한 분야에서의 적용 가능성을 기대할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.900-901
• /
• 2023

본 연구는 TFLite 기반의 경량화 AI 모델을 활용하여 쓰레기의 자동 분리수거 시스템을 구축하는 방법을 제안한다. 제안된 시스템은 객체 인식 기술을 활용해 쓰레기를 정확하게 분류하며, 테스트 결과 평균 90.33%의 mAP 성능을 나타낸다. Label 수와 데이터셋의 한계가 존재하지만, 본 연구를 확장하고 개선함으로써 자동 분리수거의 효율성을 더욱 높일 수 있을 것으로 기대된다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.12 no.1
• /
• pp.139-146
• /
• 2017

The interest about Artificial Intelligence through the AlphaGo Match in Korea has been increasing rapidly. So far, very little has been done in Artificial Intelligence. The aim of this paper is to reveal technology convergence and to assess the country profile in the field of artificial intelligence(AI). Technology convergence map was created after extracting USPTO patent grants and Web of Science data and generating matrics in the field of AI. Several Indicators were obtained by extracting and calculating SCOPUS Data that KISTI has. According to USPTO patent grants, it shows that AI technology has a strong relationship with several sectors such as cost/price determination, image analysis, and surgery, etc. Also, AI has a active convergence with some fields of Electrical and Electronic Engineering, BioTechnologies, and Medicine etc. According to country profile analysis, Korea reaches a global average growth index. However, in terms of specialization index (SI) and average of relative citations (ARC), there is a large gap between Korea and research leading countries.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.97-97
• /
• 2023

최근 재해분야에서 인공신경망(ANN), 기계학습(ML), 딥러닝(DL) 등 AI 기술이 활용성이 점차 증가하고 있으며, 센싱정보와 연계한 시설물 안전관리, 원격탐사와 연계한 재해감시(녹조, 산사태, 산불 등), 수문시계열(수위, 유량 등) 예측, 레이더·위성강수 자료의 보정과 예측, 상하수도 관망누수예측 등 다양한 분야에서 AI 기술이 적용되고 그 활용성이 검증된 바 있다. 본 연구에서는 ML, DL, 물리기반신경망(Pysics-informed Neural Networks, PINNs)을 이용한 다양한 재해분석 사례를 소개하고, 그 활용성과 한계에 대해서 논의하고자 한다. 주요사례로는 (1) SAR영상과 기계학습을 이용한 재해피해지역(울진 산불) 감지, (2) 국가 디지털 정보를 이용한 산사태 위험지역 판별(인제 산사태) (3) 기계학습 및 딥러닝 기법을 이용한 위성강수 자료의 보정·예측 및 유출해석, (4) 수리해석을 위한 수치해석분야에서의 PINNs의 적용성(1차원 Saint-Venant 식 해석) 평가 연구결과를 공유한다. 특히, 자료의 입·출력 자료만으로 학습된 인공신경망 모형 대신 지배방정식(물리방정식)을 만족하도록 강제한 PINNs의 경우, 인공신경망 모형보다 우수한 모의능력을 보여주었으며, 향후 복잡한 수리모델링 등 수치해석분야에서 그 활용가능성이 매우 높을 것으로 판단된다.