• KNOM Review
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• 제22권2호
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• pp.39-47
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• 2019

과학기술연구망(KREONET)에서는 기상기후 정보, 고에너지물리, 천문연구, 위성정보데이터, 유전체 연구데이터 등의 빅데이터 중심 첨단 연구 활동을 지원을 수행하고 있다. 기존의 네트워크 보안장비들이 있는 환경에서는 성능 저하가 발생하기 때문에, 고성능 연구전용 네트워크 상에서 성능저하를 방지하고, 고속 연구협업을 위한 방안들이 연구되고 있다. 또한 최근 이슈가 되는 양자컴퓨터의 등장으로 기존 암호체계를 활용한 보안성에 위협이 되고 있다. 본 논문에서는 단대단(End-to-End)의 고속 연구전용 네트워크상에서 양자암호기반의 통신망 구축을 통하여 물리적 보안성을 강화시키는 환경구축과 고성능 전송테스트를 통하여 양자암호기반 통신망을 구성한다. 물리적 암호화 수행시에 망 성능에 미치는 영향을 분석하여, 고성능 연구협업 네트워크 구축을 위한 기초 자료로 활용하고자 한다.

• Journal of Information Processing Systems
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• 제16권6호
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• pp.1231-1237
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• 2020

In recent years, future information and communication technology (ICT) has influenced and changed our lives. Without various ICT-based applications, we would have difficulty in securely storing, efficiently processing, and conveniently communicating information. In the future, ICT will play a very important role in the convergence of computing, communication, and all other computational sciences and application. ICT will also influence various fields including communication, science, engineering, industry, business, law, politics, culture, and medicine. In this paper, we investigate the latest algorithms, processes, and services in future fields.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4357-4378
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• 2017

In cooperative multi-relay networks, the relay nodes which are selected are very important to the system performance. How to choose the best cooperative relay nodes is an optimization problem. In this paper, multi-relay selection schemes which consider either single objective or multi-objective are proposed based on evolutionary algorithms. Firstly, the single objective optimization problems of multi-relay selection considering signal to noise ratio (SNR) or power efficiency maximization are solved based on the quantum bee colony optimization (QBCO). Then the multi-objective optimization problems of multi-relay selection considering SNR maximization and power consumption minimization (two contradictive objectives) or SNR maximization and power efficiency maximization (also two contradictive objectives) are solved based on non-dominated sorting quantum bee colony optimization (NSQBCO), which can obtain the Pareto front solutions considering two contradictive objectives simultaneously. Simulation results show that QBCO based multi-relay selection schemes have the ability to search global optimal solution compared with other multi-relay selection schemes in literature, while NSQBCO based multi-relay selection schemes can obtain the same Pareto front solutions as exhaustive search when the number of relays is not very large. When the number of relays is very large, exhaustive search cannot be used due to complexity but NSQBCO based multi-relay selection schemes can still be used to solve the problems. All simulation results demonstrate the effectiveness of the proposed schemes.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2004년도 제27회 학술발표회 초록집
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• pp.127-127
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• 2004

• Journal of information and communication convergence engineering
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• 제17권1호
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• pp.49-59
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• 2019

Biosensors, which are analysis devices used to convert biological reactions into electric signals, are made up of a receptor component and a signal transduction part. Graphene quantum dots (GQDs) and carbon quantum dots (CQDs) are new types of carbon nanoparticles that have drawn a significant amount of attention in nanoparticle research. The unique features exhibited by GQDs and CQDs are their excellent fluorescence, biocompatibility, and low cytotoxicity. As a result of these features, carbon nanomaterials have been extensively studied in bioengineering, including biosensing and bioimaging. It is extremely important to find biomaterials that participate in biological processes. Biomaterials have been studied in the development of fluorescence-based detection methods. This review provides an overview of recent advances and new trends in the area of biosensors based on GQDs and CQDs as biosensor platforms for the detection of biomaterials using fluorescence. The sensing methods are classified based on the types of biomaterials, including nucleic acids, vitamins, amino acids, and glucose.

• 디지털융복합연구
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• 제12권9호
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• pp.139-151
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• 2014

퀀텀정보통신기술(QICT)은 현재 사용 중인 컴퓨터는 물론 앞으로 개발될 디지털 기반의 컴퓨터로는 해결하기 어려운 많은 문제에 대한 답을 제공해 줄 수 있는 잠재력을 지니고 있다. QICT는 엄청난 규모의 연구개발비 투자가 이루어지며 세계 유명 연구기관들이 앞 다투어 연구에 매진하는 핵심영역 중의 하나이다. 효율적인 연구개발을 이끌어가기 위해서는 이해관계자들이 모두 이해할 수 있는 기술적 로드맵이 필요하다. 로드맵은 연구개발결과물의 상업화로의 전환을 촉진시키고, 다양한 연구접근방법에서 생겨날 수 있는 갈등을 줄이고 시너지 효과를 창출하는데 필요한 방향 제시 역할을 해준다. 본 연구에서는 QICT에 관한 간략한 로드맵과 함께 QICT가 우리나라 산업에 미칠 수 있는 잠재력과 경제적 기여도에 대해 논의해보고자 한다.

• Journal of information and communication convergence engineering
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• 제5권1호
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• pp.45-49
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• 2007

The analytical transport model in subthreshold regime for double gate MOSFET has been presented to analyze the short channel effects such as subthreshold swing, threshold voltage roll-off and drain induced barrier lowering. The present approach includes the quantum tunneling of carriers through the source-drain barrier. Poisson equation is used for modeling thermionic emission current, and Wentzel-Kramers-Brillouin approximations are applied for modeling quantum tunneling current. This model has been used to investigate the subthreshold operations of double gate MOSFET having the gate length of the nanometer range with ultra thin gate oxide and channel thickness under sub-20nm. Compared with results of two dimensional numerical simulations, the results in this study show good agreements with those for subthreshold swing and threshold voltage roll-off. Note the short channel effects degrade due to quantum tunneling, especially in the gate length of below 10nm, and DGMOSFETs have to be very strictly designed in the regime of below 10nm gate length since quantum tunneling becomes the main transport mechanism in the subthreshold region.

• Current Photovoltaic Research
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• 제4권1호
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• pp.1-7
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• 2016

Among the various types of solar cells, silicon based two terminal tandem solar cell is one of the most popular one. It is designed to split the absorption of incident AM1.5 solar radiation among two of its component cells, thereby widening the wavelength range of external quantum efficiency (EQE) spectra of the device, in comparison to that of a single junction solar cell. In order to improve the EQE spectra further and raise short circuit current density ($J_{sc}$) an optimization of the tradeoff between the top and bottom cell is needed. In an optimized cell structure, the $J_{sc}$ and hence efficiency of the device can further be enhanced with the help of light trapping scheme. This can be achieved by texturing front and back surface as well as a back reflector of the device. In this brief review we highlight the development of light trapping in the silicon based tandem solar cell.

• 한국정보통신학회논문지
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• 제25권8호
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• pp.1060-1066
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• 2021

최근, 양자컴퓨터를 활용하기 위한 연구개발이 다양한 분야에서 활발하게 이루어지고 있다. 양자컴퓨터는 양자 얽힘, 양자중첩과 같은 다양한 양자역학의 현상과 특성을 활용하여 연산을 수행하기 때문에 기존 컴퓨팅 환경에 비해 아주 복잡한 연산과정을 거치게 된다. 이러한 양자컴퓨터를 구동하기 위해서는 연산에 활용되는 양자게이트의 구성뿐만 아니라 큐비트의 종류, 배치, 연결성 등 물리적인 양자컴퓨터의 요소를 반영한 알고리즘이 구성되어야 한다. 따라서 양자컴퓨터 구성요소들의 상호간 영향을 포함한 구성 정보를 직관적으로 파악할 수 있는 회로 시각화가 필요하다. 본 논문에서는 양자컴퓨터를 구성하는 양자칩 정보와 양자컴퓨팅 회로 데이터를 3D로 시각화하여 직관적으로 데이터를 관측하고 활용할 수 있도록 시각화 하여 직관적인 정보를 분석할 수 있는 방법을 제안한다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제13권4호
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• pp.342-354
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• 2013

The aim of this work is to investigate and study the quantum effects in the modeling of nanoscale symmetric double-gate InAlAs/InGaAs/InP HEMT (High Electron Mobility Transistor). In order to do so, the carrier concentration in InGaAs channel at gate lengths ($L_g$) 100 nm and 50 nm, are modelled by a density gradient model or quantum moments model. The simulated results obtained from the quantum moments model are compared with the available experimental results to show the accuracy and also with a semi-classical model to show the need for quantum modeling. Quantum modeling shows major variation in electron concentration profiles and affects the device characteristics. The two triangular quantum wells predicted by the semi-classical model seem to vanish in the quantum model as bulk inversion takes place. The quantum effects thus become essential to incorporate in nanoscale heterostructure device modeling.