• 한국통신학회논문지
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• 제33권7B호
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• pp.567-574
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• 2008

본 논문에서는 OFDMA 방식을 사용하는 MMR (Mobile Multi-hop Relay) 시스템에서 RS (Relay Station)를 사용하여 커버리지 확장을 위한 최적화 방법을 제안하고 이에 대한 성능을 분석한다. 최적화 방법으로 최대 처리량을 만들기 위한 두 개의 주파수 할당 방법을 제안하고 각각의 할당 방법에 따른 BS의 처리량과 프레임 효율로 성능을 분석한다. 마지막으로 주파수 할당 방법에 따라 주어진 BS (Base Station)의 총 처리 용량(capacity)에서 RS의 최대 흡수를 분석한다. 결과를 통해 제안된 주파수 할당 방법이 커버리지 확장에 효율적이고, BS의 처리량도 증가시킬 수 있음을 알 수 있다. 또한 트래픽 밀도가 낮을 경우 MMR 시스템이 효율적임을 알 수 있다. 본 논문의 결과를 통해 향후 릴레이를 사용하여 휴대인터넷 서비스 지역과, 셀룰러 망을 넓히는데 있어 참고할만한 가이드라인이 될 수 있을 것이다.

• 마이크로전자및패키징학회지
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• 제27권4호
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• pp.47-54
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• 2020

활성 도파로와 수동 도파로의 집적은 광집적 회로의 구성에서 필수적인 요소이다. 이를 구현하기 위한 여러 기술 중 버트 조인트는 상당한 장점을 가지고 있다. 그러나 버트 조인트 접합은 높은 광손실을 야기하며, 두 도파로 간의 정렬에 있어서 정확한 공정 제어가 요구되는 구조이다. 본 논문에서는 레이저 다이오드와 spot size converter (SSC)로 구성된 집적 소자를 시뮬레이션하기 위해 beam propagation method을 이용하였다. 상이한 모드 특성을 갖는 두 SSC를 레이저 도파로와 연결하고, 광결합 효율을 시뮬레이션 하였다. 큰 근접장 모드를 가지는 SSC는 낮은 광결합 효율을 보여주나, 원거리 발산각 패턴이 좁고 더 대칭적이다. 테이퍼 구조의 수동 도파로는 원거리 발산각 패턴을 열화시키지 않고 버트 조인트에서 도파로 오프셋의 무의존성과 광결합 효율을 향상시키기 위해 이용되었다. 이를 바탕으로 89.6%의 높은 광결합 효율과 16°×16°의 좁은 원거리장 발산각을 얻을 수 있었다.

• 드라이브 ㆍ 컨트롤
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• 제19권1호
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• pp.43-50
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• 2022

The aim of this study was to conduct basic research on the development of a dual-clutch transmission(DCT) and automatic transmission for agricultural tractors. The DCT layout and the DCT simulation model were developed using commercial software. Power transmission efficiency of the DCT and component power loss were analyzed to verify the developed simulation model. Power loss analysis of the components was conducted according to previous studies and ISO(International Organization for Standardization) standards. The power transmission efficiency of the DCT simulation model was 68.4-91.5% according to the gear range. The power loss in the gear, bearing, and clutch DCT system components was 0.75-1.49 kW, 0.77-2.99 kW, and 5.24-10.52 kW, respectively. The developed simulation model not include the rear axle, differential gear, final reduction gear. Therefore actual power transmission efficiency of DCT will be decreased. In a future study, an actual DCT can be developed through the simulation model in this study, and optimization design of DCT can be possible by comparing simulation results and actual vehicle test.

• Advances in Traditional Medicine
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• 제5권4호
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• pp.262-271
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• 2005

Cordyceps, one of the most valued traditional Chinese medicines, consists of the dried fungus Cordyceps sinensis growing on the larva of caterpillar. It is also known as 'winter-worm and summer-grass' because of its appearance during different seasons. The parasitic complex of the fungus and the caterpillar is found in soil of a prairie at an elevation of 3,500 to 5,000 meters in northwestern part of China. According to Chinese medicinal theory, Cordyceps is used to replenish the kidney and soothe the lung, and indeed many clinical applications have been reported. The natural Cordyceps is rare and expensive on the local market, and therefore, several mycelial strains have been isolated from natural Cordyceps and manufactured in large quantities by fermentation technology, and they are commonly sold as health food products in Orient. The adulterants of Cordyceps are commonly found on the market, and therefore the authentication of these products has to be defined. Having the urgent need from current market, different chemical markers such as nucleoside, ergosterol, mannitol and polysaccharide are being used for quality control of Cordyceps. Unfortunately, these markers are far from optimization, and therefore extensive works are needed to define the pharmacological efficiency of these markers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권11호
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• pp.5271-5289
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• 2016

On large-scale data analysis platforms deployed on cloud infrastructures over the Internet, the instability of the data transfer time and the dynamics of the processing rate require a more sophisticated data distribution scheme which maximizes parallel efficiency by achieving the balanced load among participated computing elements and by eliminating the idle time of each computing element. In particular, under the constraints that have the real-time and limited data buffer (in-memory storage) are given, it needs more controllable mechanism to prevent both the overflow and the underflow of the finite buffer. In this paper, we propose an auto regulated data provisioning model based on receiver-driven data pull model. On this model, we provide a synchronized data replenishment mechanism that implicitly avoids the data buffer overflow as well as explicitly regulates the data buffer underflow by adequately adjusting the buffer resilience. To estimate the optimal size of buffer resilience, we exploits an adaptive buffer resilience control scheme that minimizes both data buffer space and idle time of the processing elements based on directly measured sample path analysis. The simulation results show that the proposed scheme provides allowable approximation compared to the numerical results. Also, it is suitably efficient to apply for such a dynamic environment that cannot postulate the stochastic characteristic for the data transfer time, the data processing rate, or even an environment where the fluctuation of the both is presented.

• 한국해양공학회지
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• 제13권2호통권32호
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• pp.74-82
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• 1999

Nowadays, the crank shaft motor vehicle has become essential as the important component. The machining precision was asked for manufacturing the shaft. They could be unstable in the quality by the conventional are welding. Both in-process quailty control and high reliability of the weld are the major concerns in applying friction wlding to the economical and qualified mass-production. No reliable nondestructive monitoring method is avaliable at present to determine the real-time evaluation of automatic production quality control for bar-to-bar friction welding of the crank shaft of O.D 24mm for motor vehicle. This paper, so that, presents the experimental examinations and statistical quantitative analysis of the correlation between the cumulative counts of acoustic emission(AE) during plastic deformation periods of the welding and the tensile strength and other properties of the bar-to-bar welded joints of O.D. 24mm shaft as well as the various welding variables, as a new approach which attempts finally to develop real-time quality monitoring system for friction welding, resulting in practical possiblility of real-time quality control more than 100% joint efficiency showing good weld with no micro structural defects.

• 한국정보과학회논문지:소프트웨어및응용
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• 제34권3호
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• pp.246-254
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• 2007

국지적 탐색 알고리즘들은 최적해를 찾기 위해서 이웃해를 생성하여 평가한 뒤에 좋은 해로 이동하는 과정을 반복한다. 본 논문에서는 생성된 이웃해를 원래의 목적함수로 평가하기 전에 간단한 예비 평가 휴리스틱을 이용하여 미리 평가함으로써, 좋지 않아 보이는 이웃해를 확률적으로 여과할 수 있는 기법을 소개한다. 이 확률적 여과 기법은 결국에 버려질 이웃해를 엄밀하게 평가하는데 낭비되는 시간을 절약하고, 이 시간 동안 보다 좋아 보이는 이웃해를 더 많이 탐색할 수 있게 함으로써 탐색 효율을 높이는 기법이다. 대규모의 실세계 최적화 문제인 교통망에서의 교통 신호 최적화 문제와 작업 일정 계획에서의 부하평준화 문제를 대상으로 한 실험에서 확률적 여과를 적용한 경우가 적용하지 않은 경우에 비해 주어진 탐색시간 동안 더 좋은 질의 최적해를 얻을 수 있는 것으로 확인되었다.

• 한국표면공학회지
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• 제49권5호
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• pp.447-453
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• 2016

In this study, we intended to extend the life of electropolishing solution through the reduction of electric resistance by improving the electrolysis efficiency. The optimum conditions were obtained by half round bus bar and Taguchi method. As the main control factors in the electropolishing process, current density, polishing time, electrolyte temperature and flow rate were selected. The electrolyte temperature was the most significant to the electrolysis efficiency. The optimum conditions for the life extension of electropolishing solution were as follows: current density, $45A/dm^2$; polishing time, 6 min; electrolyte temperature, $70^{\circ}C$; flow rate, 11 L/min. As a results of ANOVA of SN ratios, it was found that the electrolyte temperature was significant factor at the 90% confidence level.

• 대한임베디드공학회논문지
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• 제18권4호
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• pp.165-172
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• 2023

Heterogeneous computing is a technology that utilizes different types of processors to perform parallel processing. It maximizes task processing and energy efficiency by leveraging various computing resources such as CPUs, GPUs, and FPGAs. On the other hand, edge computing has developed with IoT and 5G technologies. It is a distributed computing that utilizes computing resources close to clients, thereby offloading the central server. It has evolved to intelligent edge computing combined with artificial intelligence. Intelligent edge computing enables total data processing, such as context awareness, prediction, control, and simple processing for the data collected on the edge. If heterogeneous computing can be successfully applied in the edge, it is expected to maximize job processing efficiency while minimizing dependence on the central server. In this paper, experiments were conducted to verify the feasibility of various parallel programming models on high-end and low-end edge devices by using benchmark applications. We analyzed the performance of five parallel programming models on the Raspberry Pi 4 and Jetson Orin Nano as low-end and high-end devices, respectively. In the experiment, OpenACC showed the best performance on the low-end edge device and OpenSYCL on the high-end device due to the stability and optimization of system libraries.

• 대한토목학회논문집
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• 제26권1B호
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• pp.27-38
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• 2006

현재 국내의 홍수예보시스템의 예측 모형으로 저류함수모형을 사용하고 있다. 저류함수모형은 계산절차가 간편하고 홍수유출의 비선형성을 고려할 수 있는 방법이므로 선형모형보다 합리적이라고 알려져 있다. 그러나 저류함수모형을 실제 홍수사상에 적용하는데 있어 매개변수를 결정하는 것이 매우 어렵다. 저류함수모형의 매개변수 보정을 모형 운영자의 주관적인 판단아래 시행착오에 의한 수동보정 방법을 사용하여 왔다. 본 논문에서는 홍수통제소에서 사용하고 있는 저류함수 모형의 대표(평균) 매개변수와 시행착오법(Trial & Error Method) 그리고 최적화기법(Optimization Technique)에 의해 보정된 매개변수를 비교 분석하였다. 또한 모의효율을 평가하기 위하여 목적함수별, 보정방법별로 평가지표들을 산정하고 비교 분석하였다. 분석 결과, 최적화기법의 하나인 유전자 알고리즘(Genetic Algorithm)이 목적함수에 따른 변동성이 가장 적었으며, 목적함수로는 SSR(Sum of Squared of Residual)이 가장 적합한 것으로 판단하였다.