• 전자통신동향분석
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• 제38권5호
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• pp.51-60
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• 2023

Quantum machine learning (QML) is an area of quantum computing that leverages its principles to develop machine learning algorithms and techniques. QML is aimed at combining traditional machine learning with the capabilities of quantum computing to devise approaches for problem solving and (big) data processing. Nevertheless, QML is in its early stage of the research and development. Thus, more theoretical studies are needed to understand whether a significant quantum speedup can be achieved compared with classical machine learning. If this is the case, the underlying physical principles may be explained. First, fundamental concepts and elements of QML should be established. We describe the inception and development of QML, highlighting essential quantum computing algorithms that are integral to QML. The advent of the noisy intermediate-scale quantum era and Google's demonstration of quantum supremacy are then addressed. Finally, we briefly discuss research prospects for QML.

• 정보보호학회논문지
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• 제28권1호
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• pp.85-93
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• 2018

생체 정보를 이용한 사용자 인증은 차세대 인증 방법으로서 기존의 인증 시스템에서 급진적으로 사용되고 있는 인증 방법이다. 대부분의 생체 인증 시스템은 수집된 생체 정보가 가지는 노이즈로 인한 문제, 데이터의 품질에 대한 문제, 인식률의 한계 등 많은 문제점들을 가지고 있다. 이를 해결하기 위한 방법으로 본 논문에서는 비선형적인 실제 데이터를 정확하게 처리하기 위해 비선형기법인 Dual QML을 사용하고, 또한 정확한 영역을 추출하여 인증의 정확도를 증가시키는 전처리 과정을 추가로 제안하여 정확도 증가뿐만 아니라 성능을 향상시키는 방법을 제안하고자 한다. 앞서 발표된 Dual QML은 생체 정보로 얼굴, 장문, 귀를 사용하였다. 본 논문은 앞선 Dual QML 실험에 사용하지 않은 홍채를 생체 정보로 사용하여 홍채 인식을 위한 방법으로도 Dual QML이 우수하다는 것을 보이고자 한다. 마지막으로 실험을 통해 이에 대한 실증을 보이고자 한다.

• International Journal of Knowledge Content Development & Technology
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• 제11권3호
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• pp.29-44
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• 2021

The study provides a quantitative and qualitative description of global research in the domain of quantum machine learning (QML) as a way to understand the status of global research in the subject at the global, national, institutional, and individual author level. The data for the study was sourced from the Scopus database for the period 1999-2020. The study analyzed global research output (1374 publications) and global citations (22434 citations) to measure research productivity and performance on metrics. In addition, the study carried out bibliometric mapping of the literature to visually represent network relationship between key countries, institutions, authors, and significant keyword in QML research. The study finds that the USA and China lead the world ranking in QML research, accounting for 32.46% and 22.56% share respectively in the global output. The top 25 global organizations and authors lead with 35.52% and 16.59% global share respectively. The study also tracks key research areas, key global players, most significant keywords, and most productive source journals. The study observes that QML research is gradually emerging as an interdisciplinary area of research in computer science, but the body of its literature that has appeared so far is very small and insignificant even though 22 years have passed since the appearance of its first publication. Certainly, QML as a research subject at present is at a nascent stage of its development.

• Communications for Statistical Applications and Methods
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• 제18권4호
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• pp.477-483
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• 2011

This article is concerned with a class of threshold-asymmetric GARCH models both for stationary case and for non-stationary case. We investigate large sample properties of estimators from QML(quasi-maximum likelihood) and QL(quasilikelihood) methods. Asymptotic distributions are derived and it is interesting to note for non-stationary case that both QML and QL give asymptotic normal distributions.

• 한국진공학회지
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• 제22권1호
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• pp.37-44
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• 2013

본 연구에서는 양자점(quantum dot, QD)에서의 전하트랩이 태양전지의 특성에 미치는 영향을 조사하기 위하여, GaAs 모체 태양전지(MSC)의 활성층에 InAs/GaAs QD을 삽입한 $p^+-QD-n/n^+$ 태양전지(QSC)를 제작하여 그 특성을 비교 조사하였다. Stranski-Krastanow (SK)와 준단층(quasi-monolayer, QML)의 2종류 QD를 도입하였으며, 표준 태양광(AM1.5)에서 얻은 전류-전압 곡선으로부터 태양전지의 특성인자(개방전압($V_{OC}$), 단락전류($I_{SC}$), 충만도(FF), 변환효율(CE))를 결정하였다. SK-QSC의 FF값은 80.0%로 MSC의 값(80.3%)과 비슷한 반면, $V_{OC}$와 $J_{SC}$는 각각 0.03 V와 $2.6mA/cm^2$만큼 감소하였다. $V_{OC}$ 및 $J_{SC}$ 감소 결과로 CE는 2.6% 저하되었는데, QD에 의한 전하트랩이 주요 원인으로 지적되었다. 전하트랩을 완화시키기 위한 구조로서 QML-QD 기반 태양전지를 본 연구에서 처음 시도하였으나, 예측과는 달리 부정적 결과를 보였다.

• 한국기계가공학회지
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• 제20권5호
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• pp.35-46
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• 2021

The purpose of this study is to establish effective quality control activities to maintain proper operation rates and improve the performance of research and development weapon systems. Quality control improvement measures suitable for the actual conditions of our military were identified by comparing the operational methods and advantages/disadvantages of the domestic quality control systems Defense Quality Management System and Defense Quality mark with those of the systems employed in the US(QPL and QML). In order to ensure the reliability of the weapon system, it is imperative to operate a design-oriented self-quality management system through manufacturing-oriented government-led inspection and to expand and reorganize the certification system divided into manufacturing items and companies.