• The Science & Technology
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• v.9 no.8 s.87
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• pp.42-43
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• 1976

인류의 과학기술이 천체 외계에 까지 미치게 되었다. 천체역학의 역사적 배경을 살펴보면 1600년초기 Johannes Kepler(독1571~1630)가 그의 스승 Tycho Brahe(덴마크 1546~1601)의 천체 위치관측(특히 화성)자료를 분석하면서 천체역학의 세 법칙을 발견함에서 비롯되었다. 그후 거의 3세기반이 지난 20세기 후반에 와서 천체역학 혹은 궤도역학을 이용하여 인공위성을 띄우게 되는 실용기를 맞이한 것이다. 다른 공학을 보게되면 이론이 정립되고 그것이 하나의 기계화로서 실용화 되는 것이 수년내에 여러사람에게 혜택을 주게되지만 천문학의 일분야인 천체역학은 인공위성을 띄워서 과학연구를 비롯하여, 통신, 기상예보, 자원개발, 농사수확예보등 인류전체에게 혜택을 주기까지 무려 3세기반이 걸린 것이다.

• Journal of Biosystems Engineering
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• v.29 no.4
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• pp.367-374
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• 2004

2004년부터 본 학회지의 명칭이 바이오시스템 공학으로 바뀌었으나, 바이오시스템 공학의 분야가 명확하게 정의되지 않은 채 사용되고 있는 것 같다. 필자가 이를 정의하자면 바이오시스템 공학은 식물자원, 동물자원, 식품 등의 농업생명공학과 의료생명공학을 포함한 생물산업 분야에 필요한 생물, 기계, 전기 및 전자 등의 공학적 기술을 제공하고 다루는 응용공학이라 할 수 있다. 이에 바이오시스템 공학을 인공장기와 생체조직을 제조하는 생체조직공학의 한 분야에 응용하는 예로서, 인공생체조직용 나노단위 지지체(scaffold) 제조에 사용하는 전기방사기술과 그 시스템을 소개하고자 한다.(중략)

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.336-336
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• 2011

본 연구에서는 강우시 경사지 밭에서 발생하는 토양유실량을 저감하기 위하여 지표피복재의 유무와 강우강도를 달리하여 실외인공강우 실험을 통하여 평가하였다. 인공강우 실험은 경사도 28%와 각 시험포는 $5\times30m$의 크기로 strawmat+PAM+sawdust, control(bare), strawmat+PAM, strawmat+PAM+rice husks를 4개 조성하고, 각 시험포는 하단부에 강우유출수를 채취할 수 있는 설비(flume)를 설치하였다. 대조구 실험을 위하여 각 시험포에서 발생하는 직접유출량과 유사량을 비교 분석하였다. 시험포의 토양은 양질사토로 일반 고랭지 밭의 흙과 동일한 성질을 가지고 있는 토양을 사용하였고, 지표 피복처리는 straw mat, saw dust, rice husk 그리고 PAM 등 4개의 재료를 사용하였다. 인공강우 실험은 1차 10월 18일, 2차 10월 24일, 3차 10월 30일, 4차 11월 7일로 총 21일간 각각 약 1주일의 간격을 두고 실시하였으며 인공강우 시험기의 강우강도는 각 31.1 ~ 44.4 mm/hr로 모의하였다. 연구결과 시험포에서 발생한 유출량은 지표피복을 하지 않은 대조구 시험포보다 지표를 피복한 시험포에서 약 15.7 ~ 19%의 감소한 것으로 나타났다. 유사량은 대조구 시험포보다 약 93.1 ~ 99.3% 감소한 것으로 나타났으며, 유출량과 유사량은 straw mat+PAM+sawdust와 straw mat+PAM+rice husk를 적용한 시험포에서 저감효과가 큰 것으로 나타났다. 이와 같이 지표피복처리는 강우가 발생하였을 때 강우타격력의 감소와 유출수의 유속감소 그리고 침투능을 증가하는 역할을 하여 경사지, 농경지 및 공사현장에서 토양 유실을 저감하며, 하천이나 강으로 유입되는 탁수량의 저감에 큰 효과가 있을 것으로 판단된다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12A
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• pp.1181-1187
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• 2010

This paper proposes a mobile AI (Artificial Intelligence) conducting decision-making in the game through education for intelligent character on the basis of Neural Network. Neural Network is learned through the input/output value of the algorithm which defines the game rule and the problem solving method. The learned character is able to perceive the circumstances and make proper action. In this paper, the mobile AI using Neural Network has been step-by-step designed, and a simple game has been materialized for its functional experiment. In this game, the goal, the character, and obstacles exist on regular 2D space, and the character, evading obstacles, has to move where the goal is. The mobile AI can achieve its goals in changing environment by learning the solution to several problems through the algorithm defined in each experiment. The defined algorithm and Neural Network are designed to make the input/output system the same. As the experimental results, the suggested mobile AI showed that it could perceive the circumstances to conduct action and to complete its mission. If mobile AI learns the defined algorithm even in the game of complex structure, its Neural Network will be able to show proper results even in the changing environment.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.116-124
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• 2018

This study aimed to interpreting the view of current media by artificial intelligence(AI) with the case of a TV show Person of Interest, which was broadcasted until 2016 in US. In this study, we first attempted to find how AI reflects the three laws of robotics, which often appear in Science Fictions. In addition, we paid attention to how the society looks according to the change of the manipulator of the AI, and as a result we derived the distinguishes of the show from other content dealing with robots or AI in terms of narrative. Through this study, we classified the messages in accordance of AI into three categories- importance of data sovereignty, potential of intelligence explosion, and blind faith in high technology. This study suggested that the show emphasizes the consciousness and attitude that should be possessed as a citizen who meets the era of AI prior to raising issue of 'what artificial intelligence is should be developed for our convenience?'

• Journal of The Korean Association of Information Education
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• v.24 no.3
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• pp.243-254
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• 2020

In order to cultivate AI(artificial intelligence) manpower, major countries are making efforts to apply AI education from elementary school. In order to introduce AI education in elementary school, it is necessary to have a curriculum and educational content for elementary school level. This study developed educational contents to experience the principle of AI learning at the unplugged level for the purpose of AI education for elementary school students. The educational content developed was selected as an AI that evaluates the emotion of sentences. In addition, to solve the problem, data attributes were derived and collected, and the process of AI learning was simulated to solve the problem. As a result of the study, the attitude of elementary school students to AI increased post than before. In addition, the task performance rate was averaged at 85%, showing that the proposed AI education content has educational significance.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.629-637
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• 2019

Rapid changes in the knowledge and information society of the 21st century should be embraced and applied to teachers. Since artificial intelligence(AI) is an important axis of rapid change, artificial intelligence education should be started from elementary school. This change requires elementary school teachers to have basic skills for AI education. In this study, an AI education program for elementary school teachers is developed. This development consists of three stages, the first stage is the understanding of artificial intelligence, the second stage is the understanding and application of artificial intelligence tools, and the final stage is the creation and application of artificial intelligence programs. 15 elementary school teachers were tested. The result of this study will be a useful educational program for teachers in charge of AI education in elementary school students.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.301-321
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• 2024

Generative artificial intelligence is currently developing rapidly and expanding industrially. The development of generative AI is expected to improve productivity in most industries. However, there is a probability for exploitation of generative AI, and cases that actually lead to crime are emerging. Compared to the fast-growing AI, there is no legislation to regulate the generative AI. In the case of Korea, the crimes and risks related to generative AI has not been clearly classified for legislation. In addition, research on the responsibility for illegal data learned by generative AI or the illegality of the generated data is insufficient in existing research. Therefore, this study attempted to classify crimes related to generative AI for domestic legislation into generative AI for target crimes, generative AI for tool crimes, and other crimes based on ECRM. Furthermore, it suggests technical countermeasures against crime and risk and measures to improve the legal system. This study is significant in that it provides realistic methods by presenting technical countermeasures based on the development stage of AI.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.476-480
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• 2012

In this paper, artificial potential field(APF) is applied to formation control for the leader-following swarm robot. Furthermore, APF is constructed by applying the electrical field model. Moreover, to model the obstacle effectively, each obstacle has different form due to the electrical field equation. The proposed method is formed as two sub-objective: path planning for the leader-robot and following-robots following the leader-robot. Finally, simulation example is given to prove the validity of proposed method.

• The Science & Technology
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• v.12 no.7 s.122
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• pp.33-36
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• 1979

나는 한국과학재단과 미국과학재단이 공동 협력사안의 하나로서 개최한 「인공위성에 의한 원격지구탐사 Workshop」에 참가하고, 뒤이어서 EROS(Earth Resources Observation Satellite) data center, NASA 및 NOAA(National Oceanic and Atmospheric Administation)을 심방할 기회를 가졌다. 과학과 기술지가 미국에서 보고 느낀점들을 써달라고 하는 요청에 따라서 이 글을 쓰게 되었다.