• 한국산업융합학회 논문집
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• 제19권2호
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• pp.62-68
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• 2016

Laser distance measuring systems are used in many fields with high precision. However, when measuring the reflector such as the mirror and the black color, a laser distance measuring system does not guarantee the measurement accuracy. In order to measure the shape of the cargo, this study proposes the radar distance measurement system. The radar distance measuring system is composed of a distance measuring unit with a 24 GHz antenna module, a signal processing and control board and the 1-axis tilting unit. And, this study developed a monitoring program to monitor the measured data. In order to evaluate performance of the developed system, the distance measurement tests are carried out. The distance error was about 6-15 cm. However, considering the size of the cargo, the precision is not a problem. And, cargo shape was measured by using the distance information measured by the 1-axis tilting unit. It could get a 2 dimension shape profile for the cargo stacked in a yard.

• 한국수자원학회논문집
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• 제51권5호
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• pp.451-459
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• 2018

역거리법에 포함된 지수 값을 제곱으로 고정하지 않고 변수로 취급하여 강수량 자료를 바탕으로 지수 값의 최적치를 산출하였다. 이를 위해서 한강 상류부, 한강 하류부, 금강 상류부, 낙동강 중류부 등 4개 Group으로 나누고 각 Group 내 7개 관측소에 대하여 총 52개의 Case를 분석하였다. 각 Group에서 기준 관측소 1개와 주변관측소 4개를 조합한 Case별로 거리 지수 값의 최적치를 구하였다. 이 최적치를 산출하기 위해서 황금비 분할조사법을 적용하였고 강수 자료는 10년(2004~2013년) 간의 시우량 자료를 사용하였다. 이와 같이 구한 최적치를 최근 3년(2014~2016년) 간에 대하여 검증하였다. 본 연구에서 구한 최적의 거리 지수 값은 4개 Group에서 평균적으로 각각 3.280, 1.839, 2.181, 2.005로 나타났고 전체 평균하면 2.326이었다. 그리고 최적의 지수 값을 적용한 역거리법은 지수 값을 제곱으로 한 기존 역거리법과 비교하여 우수함을 보였다.

• 정보보호학회논문지
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• 제24권6호
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• pp.1139-1145
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• 2014

지능형 서비스를 제공하는 로봇에서 특정 사람을 인지하거나 구별하는 인식 기술은 매우 중요하다. 기존 단일 거리 얼굴 영상을 학습으로 사용한 얼굴 인식 알고리즘은 원거리로 갈수록 얼굴 인식률이 떨어지는 문제점이 있다. 실제 거리별 얼굴 영상을 이용한 방법은 얼굴 인식률은 향상되지만, 사용자 협조가 요구되는 단점이 있다. 본 논문에서는 줌카메라를 통해 거리별 얼굴 영상을 획득하여 학습으로 사용하는 LDA 기반 원거리 얼굴 인식을 제안한다. 제안하는 방법은 기존 단일거리 얼굴 영상을 학습으로 이용한 방법에 비해 7.8% 향상된 성능을 보였고, 거리별 얼굴 영상을 학습으로 이용한 방법과 비교했을 때 8.0% 저하된 성능을 보였다. 그러나 거리별 얼굴 영상을 취득하기 위해 추가적인 시간과 사용자 협조가 요구되지 않는 장점이 있다.

• 무역학회지
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• 제48권2호
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• pp.71-94
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• 2023

본 연구의 목적은 본사국과 현지국간의 심리적 거리(Psychic distance)가 스페인기업의 해외투자진출(OFDI)에 미치는 영향을 패널분석으로 증명하는 데 있다. 패널데이터는 스페인과 스페인의 OFDI국가 간의 최근 10년간 문화적, 제도적, 경제적, 지리적 거리 데이터를 기초로 하였다. 임의효과모델분석에 의하면 문화적 거리(CULD)는 스페인기업의 OFDI에 부정적인 영향을 주는 반면, 제도적 거리(INSD)는 긍정적인 영향을 주었다. 경제적 거리 중 소득규모거리(GDP)는 긍정적인 영향을 미치나, 수출규모거리(EXPO)는 부정적인 영향을 미쳤다. 또한 지리적 거리(PKM)는 부정적인 영향을 미쳤다. 한편 OFDI규모별 분위분석 결과에 의하면, 한국이 속한 4분위(75%)에서는 CULD와 INSD의 영향은 REM분석 결과와 같았다. 또한 GDP는 긍정적인 영향을, PKM는 부정적인 영향을 미친 반면, EXPO는 긍정적인 영향을 미쳤다. 따라서 FDI유치 국가는 지속적인 제도개선 노력과 함께 분위분석을 통한 차별화된 전략수립이 필요하다.

• Journal of Information Processing Systems
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• 제2권1호
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• pp.44-47
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• 2006

One of the critical issues in a sensor network concerns the detection of changes in data streams. Recently presented change detection schemes primarily use a sliding window model to detect changes. In such a model, a distance function is used to compare two sliding windows. Therefore, the performance of the change detection scheme is greatly influenced by the distance function. With regard to sensor nodes, however, energy consumption constitutes a critical design concern because the change detection scheme is implemented in a sensor node, which is a small battery-powered device. In this paper, we present a comparative study of various distance functions in terms of execution time, energy consumption, and detecting accuracy through simulation of speech signal data. The simulation result demonstrates that the Euclidean distance function has the highest performance while consuming a low amount of power. We believe our work is the first attempt to undertake a comparative study of distance functions in terms of execution time, energy consumption, and accuracy detection.

• 천문학회보
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• 제40권1호
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• pp.46.2-46.2
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• 2015

Modern methods in determining the value of the Hubble constant are divided into two main ways: the classical distance ladder method and the inverse distance ladder method. The classical distance ladder method is based on Cepheid calibrated Type Ia supernovae (SNe Ia), which are known as powerful distance indicator. The inverse distance ladder method uses cosmic microwave background radiation, which emitted from the high-z universe, and the cosmological model. Recent estimations of the Hubble constant based on these two methods show a $2{\sim}3{\sigma}$ difference, which called the "Hubble tension". It is currently an issue in the modern cosmology. We have been working on the luminosity calibration of SNe Ia based on the Tip of the Red Giant Branch (TRGB), which is a precise population I distance indicator. We present the TRGB distance estimates of 5 SNe Ia host galaxies with the archival Hubble Space Telescope image data. We derive the mean absolute maximum magnitude of 5 SNe Ia and the value of the Hubble constant. Cosmological implications of our estimate will be discussed.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2004년도 춘계 학술대회논문집
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• pp.154-159
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• 2004

Numerical simulations of supersonic impinging jet flows are carried out using the axisymmetric Navier-Stokes code. This paper focuses on the oscillatory flow features associated with the variation of the nozzle pressure ratio and nozzle-to-plate distance. Frequencies of the surface pressure oscillation from computational results are in accord with the measured impinging tones for various cases of nozzle-to-plate distance. The variation of this frequency with distance show a staging behavior. Computed results for the case of nozzle pressure ratio variation for a fixed nozzle-to-plate distance also demonstrate a staging behavior. These two seemingly different staging behaviors are found to obey the same frequency-distance characteristics when the frequency and the distance are normalized by using the length of the shock cell.

• 대한한의학회지
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• 제27권2호
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• pp.225-231
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• 2006

Objectives : This study was performed to determine if unknown species of antler samples could be identified by genetic distance methods. Methods : The DNAs of 4 antler samples were extracted, amplified by PCR, and sequenced. The DNAs of antlers were identified by genetic distance. Genetic distance method was made using MEGA software (Molecular Evolutionary Genetics Analysis, 3.1). Results : By genetic distance methods, all 4 antler samples were closest to Cervus elaphus nelsoni among Cervus species. Conclusion : These results suggest that genetic distance methods might be used as a tool for the identification of Cervus species.

• Journal of the Korean Data and Information Science Society
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• 제14권3호
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• pp.687-696
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• 2003

This article presents a new family of the estimating functions related with minimum distance estimations, and discusses its relationship to the family of the minimum density power divergence estimating equations. Two representative minimum distance estimations; the minimum $L_2$ distance estimation and the minimum Hellinger distance estimation are studied in the light of the theory of estimating equations. Despite of the desirable properties of minimum distance estimations, they are not widely used by general researchers, because theories related with them are complex and are hard to be computationally implemented in real problems. Hopefully, this article would be a help for understanding the minimum distance estimations better.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.625-627
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• 2005

Existent distance measurement that use camera is method that use both Stereo Camera and Monocular Camera, There is shortcoming that method that use Stereo Camera is sensitive in effect of a lot of expenses and environment variables, and method that use Monocular Camera are big computational complexity and error. In this study, reduce expense and error using Monocular Camera and I suggest algorithm that measure distance, Extract features using scale Invariant features Transform(SIFT) for distance measurement, and this measures distance through features matching and geometrical analysis, Proposed method proves measuring distance with wall by geometrical analysis free wall through feature point abstraction and matching.