• Journal of Korea Foundry Society
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• v.11 no.4
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• pp.276-282
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• 1991

• Journal of Korea Foundry Society
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• v.5 no.4
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• pp.326-331
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• 1985

• The Magazine of the IEIE
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• v.32 no.3 s.250
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• pp.70-85
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• 2005

• Journal of Korea Foundry Society
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• v.5 no.3
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• pp.52-58
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• 1985

• Journal of Korea Foundry Society
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• v.5 no.2
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• pp.150-154
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• 1985

• Journal of Drive and Control
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• v.15 no.4
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• pp.131-138
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• 2018

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.1-9
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• 2023

In this paper, we identify the factors that hinder the application of quantum computing technology to solve meaningful real-world problems, and suggest related research trends and directions. To this end, we summarize the basic knowledge of quantum mechanics from the perspective of computer science, which is necessary to understand the difficulties in applying quantum computing technology, and analyze the currently commercialized quantum computers and quantum programming layers from the literature. Through an analysis of the current status and utilization of cloud-based commercial quantum computing services, we identify four factors that currently hinder the practical application of quantum computing: high barriers to entry for quantum computer programming, constraints on noisy intermediate-scale quantum computers, a still-growing open source ecosystem, and difficulties in simulating realistic problem sizes, and suggest trends and directions for related research. In doing so, it is expected to contribute to laying the groundwork for practical applications of quantum computing technology.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.678-681
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• 2007

분산형 데스크탑 그리드 시스템에서 안정적인 연산 수행을 위한 노드 구성 기법과 동적인 환경에 적응적인 스케줄링 기법은 필수 요소이다. 그러나 기존 연구에서는 자원 제공자의 휘발성에 적응적으로 대처하지 못하는 연산 수행 모델을 사용하였기 때문에 데드라인 내에 전체 작업을 완료해야하는 응용에 대처하지 못하는 문제점이 발생한다. 이에 본 논문에서는 자원제공자의 성능과 논리적인 위치기반으로 자가 조직적 연산 오버레이 네트워크(Computation Overlay Network) 구성 기법과 자원제공자의 작업 완료 확률과 신용도 값을 이용하여 응용 QoS 보장을 위한 휴리스틱기반 복제 (Heuristic based Replication) 기법을 제안한다. 성능평가에서는 기존 스케줄링 기법과 자원제공자의 작업 완료 확률과 신용도에 따른 분포를 이용한 복제기반 스케줄링 기법을 비교평가 한다.

• The Journal of Korean Institute of Information Technology
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• v.17 no.12
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• pp.81-92
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• 2019

Weeds are a major object which is very harmful to crops. To remove the weeds effectively, we have to classify them accurately and use herbicides. As computing technology has developed, image-based machine learning methods have been studied in this field, specially convolutional neural network(CNN) based models have shown good performance in public image dataset. However, CNN with numerous training parameters and high computational amount. Thus, it works under high hardware condition of expensive GPUs in real application. To solve these problems, in this paper, a hierarchical architecture based deep-learning model is proposed. The experimental results show that the proposed model successfully classify 21 species of the exotic weeds. That is, the model achieve 97.2612% accuracy with a small number of parameters. Our proposed model with a few parameters is expected to be applicable to actual application of network based classification services.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.531-534
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• 2007

우리는 이 논문에서 현대 마그네틱 디스크 드라이브를 대상으로 하여 내부의 세부적인 동작 메커니즘을 상위 레벨의 검침 프로그램을 이용하여 정확하게 측정하고 이를 통해서 디스크 드라이브를 사용하는 다양한 응용 프로그램 및 운영 체제 시스템의 디스크 입/출력 성능을 개선하고자 한다.