• 천문학회보
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• 제44권1호
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• pp.35.4-35.4
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• 2019

We have conducted a 22 GHz very long baseline interferometry (VLBI) survey of 281 local (z < 0.05) active galactic nuclei (AGNs) selected from the Swift Burst Alert Telescope (BAT) 70-month ultra hard X-ray (14-195 keV) catalog. The main goal is to investigate the relation between the strengths of black hole accretion and the parsec-scale nuclear jet, which is expected to tightly correlate but has not been observationally confirmed yet. The BAT AGN Spectroscopic Survey (BASS) provides the least biased AGN sample against obscuration including both Seyfert types, hence it makes an ideal parent sample for studying the nuclear jet properties of an overall AGN population. Using the Korean VLBI Network (KVN), the KVN and VERA Array (KaVA), and the Very Long Baseline Array (VLBA), we observed 281 objects with a 22 GHz flux > 30 mJy, detecting 11 targets (~4% of VLBI detection rate). This implies that the fraction of X-ray AGNs which are currently ejecting a strong nuclear jet is very small. Although our 11 sources span a wide range of pc-scale morphological types, from compact to complex, they lie on a tight linear relation between accretion luminosity and nuclear jet luminosity. Our finding may indicate that the power of nuclear jet is directly responsible for the amount of black hole accretion. We also have probed the fundamental plane of black hole activity in VLBI scale (e.g., few milli-arcsecond). The results from our high-frequency VLBI radio study support that the change of jet luminosity and size follows what is predicted by the AGN evolution scenario based on the Eddington ratio (ƛ$_{Edd}$) - column density ($N_H$) plane, proposed by a previous study.

• 한국수자원학회논문집
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• 제53권12호
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• pp.1211-1220
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• 2020

본 연구에서는 소형 X-밴드 이중편파 레이더의 수평반사도 (ZH), 차등반사도(ZDR), 교차상관계수(ρHV)의 RHI(range height indicator) 연직단면과 PPI (plan position indicator)의 고도각 경사거리(slant range) 빔의 프로파일 분석을 통하여 밝은 띠(bright band, BB)의 특성을 탐색하였다. 분석 결과, X-밴드 레이더의 이중편파 변수들을 이용하여 밝은 띠 영역을 명확히 탐지할 수 있었으며, 동시간대의 RHI 및 PPI 관측 자료를 이용한 이중적인 밝은 띠 영역을 탐색하여 그 결과가 일치함을 확인하였다. 이 결과를 토대로 현업에서 RHI 관측없이 PPI 볼륨관측만 수행하는 대형 강우레이더에도 본 연구의 PPI 고도각 경사거리에 의한 BB 탐색 방법을 적용함으로써 QPE (quantification of precipitation estimation)의 정확성을 향상시킬 수 있다.

• Smart Structures and Systems
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• 제31권4호
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• pp.421-436
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• 2023

This paper presents a vibration displacement measurement and damage identification method for a space truss structure from its vibration videos. Features from Accelerated Segment Test (FAST) algorithm is combined with adaptive threshold strategy to detect the feature points of high quality within the Region of Interest (ROI), around each node of the truss structure. Then these points are tracked by Kanade-Lucas-Tomasi (KLT) algorithm along the video frame sequences to obtain the vibration displacement time histories. For some cases with the image plane not parallel to the truss structural plane, the scale factors cannot be applied directly. Therefore, these videos are processed with homography transformation. After scale factor adaptation, tracking results are expressed in physical units and compared with ground truth data. The main operational frequencies and the corresponding mode shapes are identified by using Subspace Stochastic Identification (SSI) from the obtained vibration displacement responses and compared with ground truth data. Structural damages are quantified by elemental stiffness reductions. A Bayesian inference-based objective function is constructed based on natural frequencies to identify the damage by model updating. The Success-History based Adaptive Differential Evolution with Linear Population Size Reduction (L-SHADE) is applied to minimise the objective function by tuning the damage parameter of each element. The locations and severities of damage in each case are then identified. The accuracy and effectiveness are verified by comparison of the identified results with the ground truth data.

• 전자공학회논문지S
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• 제36S권8호
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• pp.88-100
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• 1999

얼굴과 얼굴 구성 요소를 자동으로 검출하는 것은 얼굴 인식 시스템에서 반드시 필요한 과정이다. 본 논문에서는 얼굴의 크기와 회전 변화가 동시에 존재하는 영상에서 log-polar 사상(mapping)에 기반한 단일 log-polar 얼굴 탬플릿(template)을 사용하는 밝기 기반 템플릿 정합(matching)으로 얼굴과 눈을 자동으로 검출하는 새로운 방법을 제안한다. 템플릿 정합에서는 입력 영상의 크기와 회전 변화를 템플릿의 크기와 회전 각도에 대하여 정규화시키는 과정이 필요하다. 그런데 인간 시각 시스템의 space-variant 특성과 유사한 구조를 가지는 log-polar 사상은 입력 영상의 크기와 회전 변화를 log-polar 평면상에서 수평과 수직 순환 이동으로 변화시키는 특성을 갖는다. 이러한 특성을 이용하여 입력 상반신 영상의 fixation point들에서 사상된 후보 log-polar 얼굴들은 log-polar 얼굴들을 log-polar 평면상에서 수평과 수직 이동시켜 템플릿과 정합한다. 따라서 제안한 방법은 얼굴의 크기와 회전 변화에 대응하기 위하여 계산량이 증대되는 multitemplate와 multiresolution 기법들은 적용할 필요성이 없게된다. 이러한 크기와 회전 불변 정합을 이용하여 제안된 방법은 얼굴과 눈을 동시에 검출할 수 있다. 얼굴의 크기와 회전 변화가 존재하는 상반신 영상 795장에 제안한 방법을 적용하여 98.7%의 얼굴과 눈의 검출율을 달성하였다.

• Journal of International Society for Simulation Surgery
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• 제2권1호
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• pp.26-32
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• 2015

Purpose When a surgeon examines the morphology of skull of patient, locations of craniometric landmarks of 3D computed tomography(CT) volume are one of the most important information for surgical purpose. The locations of craniometric landmarks can be found manually by surgeon from the 3D rendered volume or 2D sagittal, axial, and coronal slices which are taken by CT. Since there are many landmarks on the skull, finding these manually is time-consuming, exhaustive, and occasionally inexact. These inefficiencies raise a demand for a automatic localization technique for craniometric landmark points. So in this paper, we propose a novel method through which we can automatically find these landmark points, which are useful for surgical purpose. Materials and Methods At first, we align the experimental data (CT volumes) using Frankfurt Horizontal Plane (FHP) and Mid Sagittal Plane(MSP) which are defined by 3 and 2 cranial landmark points each. The target landmark of our experiment is the anterior nasal spine. Prior to constructing a statistical cubic model which would be used for detecting the location of the landmark from a given CT volume, reference points for the anterior nasal spine were manually chosen by a surgeon from several CT volume sets. The statistical cubic model is constructed by calculating weighted intensity means of these CT sets around the reference points. By finding the location where similarity function (squared difference function) has the minimal value with this model, the location of the landmark can be found from any given CT volume. Results In this paper, we used 5 CT volumes to construct the statistical cubic model. The 20 CT volumes including the volumes, which were used to construct the model, were used for testing. The range of age of subjects is up to 2 years (24 months) old. The found points of each data are almost close to the reference point which were manually chosen by surgeon. Also it has been seen that the similarity function always has the global minimum at the detection point. Conclusion Through the experiment, we have seen the proposed method shows the outstanding performance in searching the landmark point. This algorithm would make surgeons efficiently work with morphological informations of skull. We also expect the potential of our algorithm for searching the anatomic landmarks not only cranial landmarks.

• 대한전자공학회논문지SP
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• 제41권2호
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• pp.79-88
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• 2004

시선 위치 추적이란 현재 사용자가 응시하고 있는 위치를 컴퓨터 시각 인식 방법에 의해 파악하는 연구이다. 이러한 시선 위치 추적 기술은 많은 응용 분야를 가지고 있는데, 그 대표적인 예로는 양 손을 사용하지 못하는 심신 장애자를 위한 컴퓨터 인터페이스 및 3차원 시뮬레이터 프로그램에서 사용자의 시선 위치에 따른 화면 제어 등이 있다. 이 논문에서는 적외선 조명이 부착된 단일 카메라를 이용한 컴퓨터 비전 시스템으로 시선 위치 추적 연구를 수행하였다. 사용자의 시선 위치를 파악하기 위해서는 얼굴 특징점의 위치를 추적해야하는데, 이를 위하여 이 논문에서는 적외선 기반 카메라와 SVM(Support Vector Machine) 알고리즘을 사용하였다. 사용자가 모니터상의 임의의 지점을 쳐다볼 때 얼굴 특징점의 3차원 위치는 3차원 움식임량 추정(3D motion estimation) 및 아핀 변환(affine transformation)에 의해 계산되어 질 수 있다. 얼굴 특징점의 변화된 3차원 위치가 계산되면, 이로부터 3개 이상의 얼굴 특징점으로부터 생성되는 얼굴 평면 및 얼굴 평면의 법선 벡터가 구해지게 되며, 이러한 법선 벡터가 모니터 스크린과 만나는 위치가 사용자의 시선위치가 된다. 또한, 이 논문에서는 보다 정확한 시선 위치를 파악하기 위하여 사용자의 눈동자 움직임을 추적하였으면 이를 위하여 신경망(다층 퍼셉트론)을 사용하였다. 실험 결과, 얼굴 및 눈동자 움직임에 의한 모니터상의 시선 위치 정확도는 약 4.8㎝의 최소 자승 에러성능을 나타냈다.

• 한국전기전자재료학회논문지
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• 제25권2호
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• pp.147-152
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• 2012

This paper dealt with the frequency component analysis of acoustic signals produced by corona and series-arc discharges as a diagnostic technique for closed-switchboards. Corona and series-arc discharge were simulated by a needle-plane electrode and an arc generator specified in UL1699, respectively. Acoustic signal was detected by a wideband acoustic sensor with a frequency bandwidth of 4 Hz~100 kHz (-3 dB). We analyzed frequency spectrums of the acoustic signals detected in various discharge conditions. The results showed that acoustic signals mainly exist in ranges from 30 kHz to 60 kHz. From the experimental results, an acoustic detection system which consists of a constant current power supply (CCP), a low noise amplifier (LNA) and a band pass filter was designed and fabricated. The CCP separates the signal component from the DC source of acoustic sensor, and the LNA has a gain of 40 dB in ranges of 280 Hz~320 kHz. The high and the low cut-off frequency are 30 kHz and 60 kHz, respectively. We could detect corona and series-arc discharges without any interference by the acoustic detection system, and the best frequency is considered in ranges of 30 kHz~60 kHz.

• KIEAE Journal
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• 제7권4호
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• pp.147-152
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• 2007

Numerous non-destructive tests(NDT) to assess the safety of real structures have been developed. System identification(SI) techniques using dynamic responses and behaviors of structural systems become an outstanding issue of researchers. However the conventional SI techniques are identified to be non-practical to the complex and tall buildings, due to limitation of the availability of an accurate data that is magnitude or location of external loads. In most SI approaches, the information on input loading and output responses must be known. In many cases, measuring the input information may take most of the resources, and it is very difficult to accurately measure the input information during actual vibrations of practical importance, e.g., earthquakes, winds, micro seismic tremors, and mechanical vibration. However, the desirability and application potential of SI to real structures could be highly improved if an algorithm is available that can estimate structural parameters based on the response data alone without the input information. Thus a technique to estimate structural properties of building without input measurement data and using limited response is essential in structural health monitoring. In this study, shaking table tests on three-story plane frame steel structures were performed. Out-put only model analysis on the measured data was performed, and the dynamic properties were inverse analyzed using least square method in time domain. In results damage detection was performed in each member level, which was performed at story level in conventional SI techniques of frequency domain.

• 한국지능시스템학회논문지
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• 제15권1호
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• pp.110-115
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• 2005

본 논문에서는 아바타를 자동으로 생성하기 위한 컬러 이미지 상에서의 얼굴, 눈, 입술 윤곽선 검출 기법을 제안하였다. 제안된 기법에서는 먼저 조명의 영향을 최대한 배제하기 위하여 HSI 색상 모델을 사용하였고 I 정보를 제외한 HS 평면상에서 피부색을 정의하고 이를 이용하여 입력된 이미지로부터 피부 영역을 검출하였다. 그리고 변형가능 템플릿과 유전자 알고리즘을 이용하여 얼굴, 눈, 입의 윤곽선을 검출하였다. 여기서 변형가능 템플릿은 B-spline 곡선과 컨트롤 포인트 벡터로 이루어지며, 이것은 다양한 얼굴, 눈, 입술 모양의 표현을 가능하게 한다. 또 유전자 알고리즘은 자연계의 진화와 선택원리를 응용한 매우 효율적인 탐색 알고리즘이다 다음으로, 검출된 얼굴과 각 요소들의 윤곽선과 퍼지 C-평균 군집화를 이용하여 아바타를 생성하게 된다. 퍼지 C-평균 군집화는 얼굴색을 일정한 수로 단순화하는 과정에서 사용하였다. 결과적으로, 이와 같은 기법을 이용하여 기존의 정해진 이미지를 가지고 표현하던 아바타와는 달리 사용자의 특성을 표현할 수 있는 아바타를 자동으로 생성할 수 있다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 C
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• pp.1668-1670
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• 2002

Since more than two decades, the conventional PD detecting systems have been employed in order to detect the partial discharges occurring inside the HV power apparatus for their diagnosis by use of different type of detection such as acoustic and UHF detection method. Regardless of their wide on-site application, a certain number of technical inconveniences have been disclosed as follows : multistage amplification. large volume, susceptible to external noise and high price. In this respect, the optical measurement techniques are widely proposed in these days in this concerned field ascribed to the following advantages : immune to external EMI noise and broad band response of the Pockels cell covering from DC to GHz. However, the reliability of several proposed techniques enabling to measure the electric field inside the large high power apparatus has not yet been well approved In this work, an optical measuring system, based on the Pockels effect, has been developed for measuring the field variation due to the corona discharges occurring in air and in oil. This system consists of He-Ne laser, single mode optical fiber, multi mode optical fiber, polarizing film, Y-cut LiNbO3 cell, photo detector, digital oscilloscope and personal computer with GPIB. For this purpose, optical probe has been specially designed and realized and put into the needle-plane electrode. Afterward, same measurement is carried out in oil. We demonstrate the characteristic of the optical measuring system and the measurement results.