• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.149-157
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• 2020

Recently, as interest in artificial intelligence has increased, many studies have been conducted to implement AI processors. However, the AI processor requires functional verification as well as performance verification on whether the AI processor is suitable for the application. In this paper, We propose an AI processor performance analyzer that can verify the application performance and explore the limitations of the processor. By Using the performance analyzer, we explore the limitations of the AI processor and optimize the AI model to fit an AI processor in image recognition and speech recognition applications.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.375-384
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• 2022

As artificial intelligence(AI) education becomes essential in elementary schools with the revised 2022 curriculum, it is necessary to develop an AI curriculum for elementary school students. In this study, I developed the AI content framework to cultivate AI literacy of elementary school students. AI education areas were largely divided into AI understanding and AI development, and detailed areas were divided into eight categories: using of AI, impact of AI, AI ethics, recognition of AI, data expression, data exploring, learning of AI, and prediction of AI. In addition, twice expert Delphi surveys were conducted to verify the validity of the subject elements and achievement standards for each area. The final draft was finalized after reflecting expert opinions on the AI education content framework. In order for AI education to be expanded in elementary schools in the future, continuous research is needed, such as developing textbooks and teaching tools according based on the AI framework proposed in this study, securing the lesson hours to apply them to schools, and correcting and supplementing the problems of them.

• Convergence Security Journal
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• v.24 no.2
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• pp.63-70
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• 2024

With the development of artificial intelligence technology, our lives are changing in innovative ways, but at the same time, new ethical issues are emerging. In particular, issues of discrimination due to algorithm and data bias, deep fakes, and personal information leakage issues are judged to be social priorities that must be resolved as artificial intelligence services expand. To this end, this paper examines the concept of artificial intelligence and ethical issues from the perspective of artificial intelligence ethics, and includes each country's ethical guidelines, laws, artificial intelligence impact assessment system, artificial intelligence certification system, and the current status of technologies related to artificial intelligence algorithm transparency to prevent this. We would like to examine and suggest institutional improvement measures to strengthen artificial intelligence ethics.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.645-652
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• 2008

The study of Artificial Life Art has affected the development of art using artificial life. Artificial Life Art started as a concern for microscopic organisms and has developed into works producing some creativities through the choices of spectators. The interests in real animals have resulted in the production of artificial animals such as cyber pets, and the interests in humans have been led to the creation of avatars. We will analyze the invisible emotional field of Naoko Tosa's works which use cyber pets and avatars, and clarify how the creative changes of Artificial Life Art affect the development of interactive art.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.307-312
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• 2021

Artificial Intelligence has a long history and is used in various fields including image recognition and automatic translation. Therefore, when we first encounter artificial intelligence, many terms, concepts and technologies often have difficulty in setting or implementing research direction. This study summarized important concepts related to artificial intelligence and summarized the progress of the past 60 years to help researcher suffering from these difficulties. Through this, it is possible to establish the basis for the use of vast artificial intelligence technologies and establish the right direction for research.

• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.3
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• pp.46-54
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• 2001

도시녹지 면적 확대의 해결책으로 부각되고 있는 옥상정원은 조성이 용이해야 하며, 옥상정원 조성에 있어 가장 문제시되는 하중 또한 고려되어야 한다. 이러한 문제들로 인해 최근 경량 인공토양의 이용 필요성이 부각되고 있으나, 자연토양에 비해 고가(高價)라는 이유로 자연토양이 주로 이용되거나, 인공토양이 이용되더라도 대부분 무기질계 단종(斷種) 인공토양만으로 시공되고 있어 식물 생육측면에서 단점 보완이 요구되고 있다. 따라서, 본 연구는 옥상정원 조성에 이용 가능한 유·무기질계 인공토양들을 혼합 조성하여 그 물리·화학적 특성을 살펴보고, 각각의 혼합 인공토양 및 토심에 따른 식물생육을 조사해 봄으로써 이용 가능성을 살펴보았다. 12종류의 혼합 경량 인공토양 및 5종류의 토심(5, 10, 20, 30cm)으로 조성된 인공지방산에 2000년 6월 7일 비비추(Hosta longipes)를 정식하였으며, 정식 112일 후에 최종 생육조사를 실시하였다. 혼합 경량 인공 토양 및 토심에 따른 토양의 물리 화학성은 인공토양 분석법을 기초로 조사 분석하였다. 그 결과, 1) 질석;피트모스(1:1, v/v), 펄라이트:질석:피트모스(1:1:2, v/v/v), 펄라이트;피트모스;입상암면(1:1:1, v/v/v) 혼합 경량 인공토양에서 비비추의 생육이 가장 좋았으며, 물리·화학성도 다른 토양에 비해 양호하였고, 하중도 적게 측정되었다. 2) 토심에 따른 비비추의 생육에서는 토심 10∼20cm에서 유의적인 차이를 보이지 않아, 토심 10cm에서도 자생 초화류의 생육이 가능할 것으로 판단되었다. 3)또한 인공토양의 물리·화학적 특성과 식물 생육(생체중)과의 상관관계를 조사한 결과 전기전도도(EC), Na함량 및 토양표면 온도가 식물 생육에 있어 다른 요인들에 비해 더 큰 영향을 끼침을 살펴볼 수 있었다. 위의 결과들을 살펴볼 때 혼합 경량 인공토양은 토심을 낮추어 하중을 감소시킬 수 있을 뿐 아니라 식물 생육측면에서도 긍정적인 효과를 나타내 기존 건물의 옥상정원에서도 이용이 가능할 것으로 보인다. 그러나 본 실험에서는 더 나아가 저장기적인 혼합 인공토양의 물리·화학성 변화 및 식물생육을 살펴보는 연구 또한 이루어져야 할 것으로 생각된다.

• Journal of The Korean Association of Information Education
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• v.23 no.2
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• pp.189-196
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• 2019

Artificial intelligence has begun to be used in various parts of our lives, and recently its sphere has been expanding. However, students tend to find it difficult to recognize artificial intelligence technology because education on artificial intelligence is not being conducted on elementary school students. This paper examined the teaching programming language and artificial intelligence teaching methods, and looked at the changes in students' attitudes toward artificial intelligence technology by conducting education on artificial intelligence. To this end, education on block-type programming language-based artificial intelligence technology was provided to students' level. And we looked at students' attitudes toward artificial intelligence technology through a single group pre-postmortem. As a result, it brought about significant improvements in interest in artificial intelligence, possible access to artificial intelligence technology and the need for education on artificial intelligence technology in schools.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.453-462
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• 2020

With the development of artificial intelligence, a lot of platforms have emerged that enable anyone to easily access and learn about artificial intelligence or create artificial intelligence models. Therefore, in this study, we analyzed various artificial intelligence education platforms and developed and proposed a SW education class plan using a framework-based artificial intelligence education platform for activating artificial intelligence based SW education. The artificial intelligence-based SW education framework aims to cultivate artificial intelligence literacy on the basis of computational thinking. In addition, a learner-centered project class was formed to include elements that could be fused with real life contexts or other subjects. Using this, with the theme of creating an artificial intelligence program to help separate garbage collection, a six-hour project-based class was developed and proposed using practical arts, social studies, and creative experiential activities. This project class was organized using a platform that is not difficult, such as AI Oceans and Entry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.49-57
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• 2022

Recently, various uses of artificial intelligence have been made possible through the deep artificial neural network structure of machine learning, demonstrating human-like capabilities. Unfortunately, the deep structure of the artificial neural network has not yet been accurately interpreted. This part is acting as anxiety and rejection of artificial intelligence. Among these problems, we solve the capability part of artificial neural networks. Calculate the size of the artificial neural network structure and calculate the size of data that the artificial neural network can process. The calculation method uses the group method used in mathematics to calculate the size of data and artificial neural networks using an order that can know the structure and size of the group. Through this, it is possible to know the capabilities of artificial neural networks, and to relieve anxiety about artificial intelligence. The size of the data and the deep artificial neural network are calculated and verified through numerical experiments.

• Korean Journal of Environment and Ecology
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• v.11 no.1
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• pp.46-60
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• 1997

The purposes of this research are to select the appropriate kinds of landscape woody plants for afforestation artificial ground and to find out the way of developing planting-tree area of artificial ground through test planting and case study. The summary of the research is as follows; As a result of observing the state of trees' growth, trees on artificial grounds grow as well as, or even better than those on natural grounds. The kinds of trees which represent better growth states on artificial soil of rooftop test area are Thuja occidentalis, Prunus armericana var. ausu, Acer palmatum, Viburnum sargentii for. sterile, Buxus microphylla var. koreana, etc. In addition, soils than on natural soils. As a result of investigating the tree's growth state according to soil beds of artificial soils, shrubs don't represent distinct differences. They show that shrubs can be planted on 30cm soil bed. The rest of trees no differences according to the variation of soil beds, and they are in normal condition or have slight damage. This means that though arbor planting area of artificial ground is made 45~60cm, it is possible for trees to grow on it. In consequence of analyzing the cases on areas of landscaping artificial grounds, as the appropriate kinds of trees for afforestation artificial ground, Diospyros kaki, Hibiscus syriacus, Syringa dilatata, Magnolia kobus, Acer ginnala and cornus alba are selected in Capital region, and Nandina domestica, Taxus cuspidata, Ilex crenata, Viburnum awabuki, Aucuba japonica and Euonymus japonica are selected in southern region. In addition, Juniperus chinensis, Zelkova serrata, Juniperus chinensis var. kaizuka, etc. are selected regardless of regional character. In accordance with the state of soil it shows great difference, namely, fertilization once or more a year and irrigation for drought is advantageous to tree's growth. This research represents that it is necessary that standards related to landscaping artificial grounds are subdivided. In addition to it, the plan for revising related to regulation is drawn up.