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인공지능(AI)의 이해와 인공지능 기반 음악도구의 예시 및 활용방안 연구
문현진(Moon, Hyunjin),승윤희(Seung, Yunhee) 학습자중심교과교육학회 2022 학습자중심교과교육연구 Vol.22 No.4
목적 본 연구는 현재까지 개발된 인공지능의 음악적 기능을 고찰하고, 음악수업에서 활용 가능한 인공지능 기반 음악도구를 탐색하여 학교 현장에서의 적용 가능성을 제시하는 데 목적이 있다. 방법 문헌연구를 통해 인공지능의 이론적 내용을 살펴보고 조사연구를 통해 인공지능의 핵심기능이 구현된 음악기능의 실제를 정리하여 초중등학교 음악수업에 활용 가능한 방안을 탐색하였다. 결과 인공지능의 5대 기능(인식, 예측, 자동화, 소통, 생성기능)을 중심으로 각 기능에서의 음악적인 기능을 조사하였으며, 연구결과는 미래 음악교육을 위한 기초자료를 제공할 뿐만 아니라 다양한 음악수업에서 활용할 수 있는 실제적이고 구체적인 방안을 제시한다. 결론 인공지능 기반 음악도구들은 음악수업에서 다양한 방식으로 활용될 수 있고 긍정적인 학습효과를 기대할 수 있어 그 활용도는 점차 증가할 것으로 전망된다. 하지만 인공지능 기반 음악도구를 활용하기 위해서는 다양한 음악도구들에 대한 분명한 이해와 음악수업의 전 과정에서 교사의 역할이 매우 중요하다는 인식이 필요하다. ‘AI 기반 음악도구’라는 새로운 학습 도구를 제시한 본 연구가 미래교육을 준비하는 교사들에게 도움이 되고 이와 관련된 후속 연구를 활성화시키는 토대가 될 수 있기를 기대한다. Objectives The purpose of this study is to examine the musical functions of artificial intelligence developed thus far, and to propose the applicability of AI-based music tools in music classes in elementary and middle schools. Methods The theoretical contents of artificial intelligence were examined through a review of the literature. Additionally, the actual music function, which is realized through the main functions of artificial intelligence, was researched and then the results were summarized. Finally, methods that could be used for music classes in elementary and middle schools were explored. Results The musical functions were investigated focusing on the 5 functions of artificial intelligence (recognition, prediction, automation, communication, and generation). The results of this study not only provide basic data for future music education, but also suggest practical and specific ideas that can be used in all types of music classes. Conclusions AI-based music tools can be used in various ways in music classes and have positive learning effects, so their prevalence is expected to gradually increase. However, in order to use AI-based music tools, it is necessary to have a clear understanding of them and to recognize that the teacher’s role in the music class is very important. This study, which presented new learning tools called ‘AI-based music tools’, is expected to be helpful to teachers preparing for future education and to serve as a basis for stimulating related follow-up research.
KNSB 고체 연료 로켓을 이용한 에어로스파이크 노즐에 관한 실험적 연구
박동하(Dongha Park),임석재(Sukjae Im),문현진(Hyunjin Moon) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
This paper describes an experimental study on KNSB rocket engine with an aerospike nozzle. Aerospike nozzles are more efficient than CD(Converging-Diverging) nozzles in every atmosphere since they have mechanisms for adapting the ambient pressure. KNSB fuel is a mixture of potassium nitrate and sorbitol at a rate of 65:35, which is used widely in amateur rockets. An aerospike nozzle was designed to have the same exit area and expansion ratio as the CD nozzle. Thrust measuring experiments were done to compare a CD nozzle designed at the optimal condition and an aerospike nozzle. Eventhough there were some errors in the thrust measuring, this research could demonstrate feasiblity of an aerospike made by using SLM 3D printing.
웨어러블 전자 디바이스 응용을 위한 고 신축성, 투명 금속 나노 와이어 가열기
김현석(Hyeonseok Kim),홍석준(Sukjoon Hong),이하범(Habeom Lee),문현진(Hyunjin Moon),권진형(Jinhyeong Kwon),김동관(Dongkwan Kim),고승환(Seung Hwan Ko) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
We introduce a highly stretchable and transparent electrical heater intended for future wearable applications by constructing a partially embedded silver nanowire percolative network on an elastic substrate. The Ag NW network heater proposed in this study not only exhibits superior optical transmittance and electrical conductivity comparable to ITO, but also outstanding electrical, mechanical and thermal stability withstanding 60 % strain at a temperature of 60 ℃ with high reliability and fast temporal response. The outstanding performance of Ag NW as a stretchable and transparent heater is attributed to the unique microscopic morphology of the Ag NW at the interface, which also enables easy manipulation of its spatial temperature profile through direct patterning of the Ag NW by a selective laser ablation process. The stable operation of Ag NW network heater on human wrists under real-time compressive/tensile strain, bending and twisting further proves its high potential for lightweight, biocompatible and versatile wearable applications.