• Journal of Astronomy and Space Sciences
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• 제35권1호
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• pp.19-30
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• 2018

The analysis of the high-resolution spectra of 31 Magellanic Clouds Cepheid variables enabled the identification of thorium lines. The abundances of thorium were found with spectrum synthesis method. The calculated thorium abundances exhibit correlations with the abundances of other chemical elements and atmospheric parameters of the program stars. These correlations are similar for both Clouds. The correlations of iron abundances of thorium, europium, neodymium, and yttrium relative to the pulsational periods are different in the Large Magellanic Cloud (LMC) and the Small Magellanic Cloud (SMC), namely the correlations are negative for LMC and positive or close to zero for SMC. One of the possible explanations can be the higher activity of nucleosynthesis in SMC with respect to LMC in the recent several hundred million years.

• 천문학회보
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• 제39권1호
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• pp.42.1-42.1
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• 2014

A gravitational weak-lensing map provides a weighted "picture" of the projected surface mass density and is to be an important tool for identifying "mass-selected" clusters of galaxies. However, weak-lensing maps have a limitation due to the projection of large-sclae structure along the line-of-sight. Geller et al. (2010) and Kurtz et al. (2012) compared massive clusters identified in a dense redshift survey with significant weak-lensing map convergence peaks. Both assessments of the efficiency of weak-lensing map for cluster identification did not draw a general conclusion, because the sample is so small. Thus, we additionally perform deep imaging observations of fields in a dense galaxy redshift survey that contain galaxy clusters at z~0.2-0.5, using CFHT Megacam. Our study will provide an important opportunity to examine the efficiency and completeness of a weak-lensing selection, and further to improve the method of cluster identification in future weak-lensing surveys.

• 한국정밀공학회지
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• 제20권10호
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• pp.130-140
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• 2003

This paper presents an $H_\infty$controller synthesis based on disturbance observer for the trajectory control of a hydraulic excavator. Compared to conventional robot manipulators driven by electrical motors, hydraulic excavator have more nonlinear and coupled dynamics. In particular, the interactions between an excavation tool and the materials being excavated are unstructured and complex. In addition, its operating modes depend on working conditions, which make it difficult to not only derive the exact mathematical model but also design a controller systematically. In this study, the approximated linear model obtained through off-line system identification is used as nominal plant model for a disturbance observer. A disturbance observer based tracking controller which considers the effect of disturbance and model uncertainty is synthesized in $H_\infty$frameworks. Simulation results are used to demonstrate the applicability of the proposed control scheme.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1994년도 추계학술대회 논문집 학회본부
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• pp.45-47
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• 1994

The simulation of reactive power compensation in 5-bus and 25-bus system was conducted using transmission-line loss system identification method. Sensitivities of maximum load-power with respect to reactive power compensation was identified by the simulation. With sufficient reactive power compensation at the first voltage-collapsing load-bus, the first voltage collapse could be prevented until the next voltage-collapsing load-bus lost its voltage stability. And the total compensated reactive power at the first voltage-collapsing bus means reactive power margin of voltage collapse or distance to voltage collapse. This quantity can be useful for determining the size of compensating devices or the site to compensate.

• 대한의용생체공학회:의공학회지
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• 제21권5호
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• pp.487-494
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• 2000

본 논문에서는 배경잡음이 섞여 있는 QRS 파의 증대를 위해 신경망에 근거한 적응라인증대기(ALE) 적용을 다루고 있다. Elman과 Jordan RNN 구조의 합성형태를 갖는 수정된 완전연결 리커런트 신경망이 ALE의 비션형 적응필터로 사용되고 있다. 신경망 노드사이의 연결계수와 이득, 기울기, 지연과 같은 노드 활성함수의 변수들이 기울기 강하 알고리즘을 사용하여 학습이 반복될 때마다 갱신된다. 수정된 신경망은 먼저 미지의 선형과 비선형 시스템 identification을 수행함으로써 평가하였다. 그리고 미약한 QRS를 증대시키기 위해서 적당한 크기의 잡음과 매우 심한 잡음이 포함된 실제의 ECG 신호를 비선형 신경망 적응필처를 사용하는 ALE에 입력하였다. 수정된 신경망은 시스템 identification에 사용하기가 적합함을 확인하였으며, 시뮬레이션 결과에 의하면 신경망 ALE는 잡음 ECG 신호로부터 QRS 파를 증대를 잘 수행하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 추계학술발표대회
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• pp.409-412
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• 2013

본 논문에서는 현재 표면처리산업에서의 피도금걸이-랙에 대한 수동적인 데이터 관리의 문제점을 해결하고자 모바일 RFID(Radio Frequency Identification) 리더기 및 스마트 모바일 디바이스를 이용한 시스템을 제안한다. 이를 위해 본 논문에서는 랙의 라이프사이클에 따른 상태전이를 분석하고, RFID 시스템을 이용한 자동인식기술을 사용하였다. 자동 인식된 랙은 현재 상태에 따라 전이를 일으키는 활동을 수행하도록 시스템을 구축하였으며, 다양한 유형의 랙을 각 상황에 맞게 식별해 내는 방법을 통해 도금라인 프로세스의 효율을 향상시킬 수 있도록 하였다.

• International Journal of Computer Science & Network Security
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• 제24권6호
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• pp.109-118
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• 2024

The world today is advancing towards a digital solution for every indusial domain varying from advanced engineering and medicine to training and management. The supply cycles can only be boosted via an effective management of the warehouse and a stronger hold over the logistics and inventory insights. RFID technology has been an open source tool for various MNCs and corporal organization who have progressed along a considerable drift on the charts. RFID is a methodology of analysing the warehouse and logistic data and create useful information in line to the past trends and future forecasts. The method has a high tactical accuracy and has been seen providing up to 99.57% accurate insights for the future cycle, based on the organizational capabilities and available resources. This paper discusses the implementation of RFID on field and provides results of datasets retrieved from controlled data of a practical warehouse and logistics system.

• 정보처리학회논문지B
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• 제17B권1호
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• pp.47-54
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• 2010

오래된 영화 필름이나 비디오 테이프 등의 영상물에서 나타나는 대표적인 손상으로는 긁힘과 얼룩무늬 손상이 있으며, 본 논문은 긁힘 손상을 자동 탐지하고, 자기상관 (AR: autoregressive) 이미지 생성모델 (PAST-PRESENT 모델) 기반의 영상 인페인팅 모델을 사용하여 손상을 복원하는 시스템을 설계하고 구현하였다. AR 이미지 모델 생성을 위해, 지역성을 최대화할 수 있도록 인접 화소를 모으는 Sampling Pattern을 사용하였으며, 추출된 화소들을 필터링 (filtering)하는 단계, AR 모델 파라미터 계산 (model fitting)을 위한 Durbin-Levinson 알고리즘, 최종 파라미터를 통한 훼손된 화소의 예측 및 보간 단계로 구성된다. 구현된 시스템은(1) VHS 테이프를 통한 아날로그 영상물의 디지털화, (2) 긁힘 손상의 자동탐지와 자동손상복원, (3) 얼룩무늬의 수동탐지와 자동복원의 3단계 복원절차를 지원하도록 설계하였다. 단계 1과 단계 2는 영상복원 고속화를 위해 TIDSP 보드 (TMS320DM642 EVM)을 이용하여 구현하였으며, 단계 3은 사용자의 수동탐지를위해, PC 를 사용하여 구현하였다. 본 논문에서 제안된 기법을 고전 한국영화 2편 (자유만세와 로보트 태권 V)에 대하여 실험하였으며, 본 논문에서 제안한 자기상관 기반의 복원 시스템은 Bertalmio 인페인팅 기법과 비교하였으며, 주관적 화질 (MOS 테스트) 및 객관적 화질 (PSNR), 특히, 숙련된 복원기술자에 의한 복원과의 차이를 정의하는 복구품질 (RR)에서 향상된 결과를 보임을 확인하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제22권4호
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• pp.492-499
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• 2009

A Silkie Bantam embryo fibroblast line (named SBF59 line) was successfully established by using direct explant culture and cryopreservation techniques. Cell morphology, viability, dynamic growth and contamination were tested and the karyotype and levels of isoenzymes of lactic dehydrogenase and malic dehydrogenase were analyzed. Four kinds of fluorescent protein extrogenes, including $pEGFP-N_3$, $pECFP-N_1$, $pEYFP-N_1$ and $pDsRed1-N_1$ were transfected into the cells. The results showed that the cells were healthy and possessed a fibrous structure without a change in morphology. The average viability of the cells was 96% before freezing and 90.5% after thawing. The growth curve appeared as typical "S" shape and the cell growth passed through a detention phase, a logarithmic phase and a platform phase; the estimated population doubling time (PDT) was 38.5 h; assays for the presence of bacteria, fungi, viruses and mycoplasmas were negative; the cell line showed no cross contamination when assessed by isoenzyme analysis; the chromosome number was 2n = 78 on more than 88% of occasions; four kinds of fluorescent protein extro-genes appeared to be expressed effectively with a high transfection efficiency between 18.3% and 42.3%. The cell line met the required quality control standard. It not only preserves the genetic resources of the important Silkie Bantam at the cellular level but also provides valuable materials for genomic, post-genomic, somatic cell cloning research and other applications.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.3122-3127
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• 2007

Water resource can be examined using biological sensors. Algae has been one of the biological sensors used to evaluate and monitor the water pollution. The monitoring system, however, could determine whether the examined water was safe or not. It needs additional expensive chemical test to figure out the cause of the water pollution. In this study, an endeavor is given to identify the toxicant in the water using the shape of the chlorophyll fluorescence induction curve(FIC) from algae using monitoring system. Fundamental curves are obtained from the experiments with specified amount of toxicant. Baysian method is utilized to determine the unknown toxicant in the water by comparing it with the fundamental curves. The results shows that the proposed method works fairly well.