• 전자공학회논문지B
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• 제31B권2호
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• pp.80-87
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• 1994

Fetal monitoring is a routine procedure to obtain a record of physiologic functions during pregnancy and labor. It is required to determine fetal heart frequency accurately. There are various types of fetal heart rate(FHR) determination and the most frequently applied method is transabdominal Doppler ultrasound. However, in the case of weak or noise corrupted Doppler ultrasound signals, conventional peak detections and the autocorrelation function method have many difficulties to determine FHR precisely. Also the autocorrelation function is effected by threshold level and window size. To solve these problems, the high resolution pitch determination algorinthm is introduced to detect FHR from Doppler ultrasound signals. This scheme digitally processes Doppler ultrasound signal for digital rectification, envelope detection, decimation and correlation calculation of two interconnected segments and then FHR is determined by its maximal value. Even in the case of a greatly smeared noise signal, this algorithm is able to search FHR more accurately than autocorrelation function by means of compensating FHR with a constant correlation threshold. This algorithm is simulated by 386-MATLAB on PC 486/DX and verified that it is superior to the autocorrelation function method.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2006년도 춘계학술발표논문집
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• pp.209-213
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• 2006

In this paper describes image enhancement technique using deconvolution processing for ultrasonic nondestructive testing. . When flaws are detected for B-scan or C-scan, blurring effect which is caused by the moving intervals of transducer degrades the quality of images. In addition, acquisited images suffer form speckle noise which is caused by the ultrasonic components reflected from the grain boundary of material [1,2]. The deconvolution technique can restore sharp peak value or clean image from blurring signal or image. This processing is applied to C-scan image obtained from known specimen. Experimental results show that the deconvolution processing contributes to get improved the quality of C-scan images.

• 한국전자파학회논문지
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• 제30권3호
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• pp.252-259
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• 2019

제트 엔진 변조(jet engine modulation: JEM) 신호는 제트 엔진 고유 정보인 날개 수를 제공하기 때문에 HRRP(High-Range Resolution Profile), ISAR(Inverse Synthetic Aperture Radar)와 함께 표적 인식 분야에서 널리 이용된다. 제트 엔진의 날개 수를 얻기 위해서는 날개 수에 비례하는 chopping 주파수를 추출하는 것이 중요하다. 기존의 chopping 주파수 추출 방법은 초기 문턱값(threshold)를 정의하고, 이를 줄여가며, chopping peak를 탐지하는 방법을 사용한다. 하지만 이러한 탐지 방법은 반복적 찾음에 따라 신호에 따라 시간이 많이 소요되는 단점을 가지고 있다. 이에 본 논문에서는 MUSIC(MUltiple SIgnal Classification) 알고리즘을 이용하여 chopping 주파수를 추출하는 것을 제안한다. 주어진 JEM 신호에 MUSIC 알고리즘을 적용하여 chopping 주파수를 찾아 날개 수 후보군을 정하고, 후보군들의 점수를 위한 다른 chopping 주파수 추출에도 MUSIC 알고리즘을 적용하도록 한다. 반복적으로 찾는 기존의 탐지 알고리즘과 달리, 한번에 찾아내기 때문에 정확한 chopping 주파수를 찾을 뿐만 아니라, 계산 시간도 줄일 수 있음을 입증하였다.

• Journal of Information Processing Systems
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• 제19권4호
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• pp.417-426
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• 2023

To improve the effect of image restoration and solve the image detail loss, an image dehazing enhancement algorithm based on mean guided filtering is proposed. The superpixel calculation method is used to pre-segment the original foggy image to obtain different sub-regions. The Ncut algorithm is used to segment the original image, and it outputs the segmented image until there is no more region merging in the image. By means of the mean-guided filtering method, the minimum value is selected as the value of the current pixel point in the local small block of the dark image, and the dark primary color image is obtained, and its transmittance is calculated to obtain the image edge detection result. According to the prior law of dark channel, a classic image dehazing enhancement model is established, and the model is combined with a median filter with low computational complexity to denoise the image in real time and maintain the jump of the mutation area to achieve image dehazing enhancement. The experimental results show that the image dehazing and enhancement effect of the proposed algorithm has obvious advantages, can retain a large amount of image detail information, and the values of information entropy, peak signal-to-noise ratio, and structural similarity are high. The research innovatively combines a variety of methods to achieve image dehazing and improve the quality effect. Through segmentation, filtering, denoising and other operations, the image quality is effectively improved, which provides an important reference for the improvement of image processing technology.

• 한국음향학회지
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• 제36권5호
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• pp.345-352
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• 2017

본 논문에서는 잔향과 잡음이 존재하는 실제 환경을 모델링하여 두 개의 마이크로폰을 이용한 음원 위치추정의 정확성을 향상시키는 방법을 제안하였다. 입력신호에 VAD(Voice Activity Detection)를 적용하여 묵음 구간을 제외한 음성 구간만을 사용하였고, 샘플링 주파수의 제한으로 인한 측정 범위를 벗어나는 프레임은 업샘플링(up-sampling)을 통해 지연시간을 다시 추정하였다. 여기서 계산된 도착 지연 시간은 Time-table을 참조해 주변 후보위치의 지연 값들과의 비교로 최대 파워 값을 갖는 지연 시간을 선택하여 음원 위치의 정확도를 높였다. 또한 프레임간의 상관성을 이용하여 연속된 음성 프레임의 경우 큰 추정 차가 발생하는 곳을 찾아 주변 프레임의 평균값으로 대체함으로써 음원의 위치 추정 성능을 향상시켰다.

• 대한공간정보학회지
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• 제24권4호
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• pp.3-11
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• 2016

Sixty four percent of Korean territory consists of forest which is fragile for forest fire. However, it is difficult to detect the disaster-induced damages due to topographic complexity in mountainous areas and harsh weather conditions. For this reason, satellite imaging systems have been widely utilized to detect the damage caused by forest fire. In particular, ground vegetation condition can be estimated from multi-spectral satellite images and change detection technique has been used to detect forest fire damages. However, since Korea has clear four seasons, simple change detection technique has limitation. In this regard, this study applied the NDVI(normalized difference vegetation index) annual cycle modeling technique on time-series of Landsat images from 1991 to 2007 to analyze influence of forest fire of Yangyang-gun, Gangwon-do in 2005 on vegetation condition. The encouraging result was obtained when comparing the areas where forest fire occurs with non-damaged areas. The mean value of NDVI was decreased by 0.07 before and after the forest fire. On the other hand, annual variability of NDVI had been increasing and peak value of NDVI was stationary after the forest fire. It is interpreted that understory vegetation was seriously damaged from the forest fire occurred in 2005.

• Preventive Nutrition and Food Science
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• 제19권4호
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• pp.321-326
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• 2014

In this study, we developed a method to quantify esculetin (6,7-dihydroxycoumarin) in plasma and tissues using HPLC coupled with ultraviolet detection and measured the level of esculetin in rat plasma after oral administration. The calibration curve for esculetin was linear in the range of 4.8 ng/mL to 476.2 ng/mL, with a correlation coefficient ($r^2$) of 0.996, a limit of detection value of 33.2 ng/mL, and a limit of quantification value of 100.6 ng/mL. Recovery rates for the 95.2 ng/mL and 190.5 ng/mL samples were 95.2% and 100.3%, within-runs and 104.8% and 101.0% between-runs, respectively. The relative standard deviation was less than 7% for both runs. In the pharmacokinetic analysis, the peak plasma esculetin level was reached 5 min after administration ($C_{max}=173.3ng/mL$; $T_{1/2}=45min$; $AUC_{0{\sim}180min}=5,167.5ng{\cdot}min/mL$). At 180 min post-administration (i.e., after euthanasia), esculetin was only detectable in the liver ($30.87{\pm}11.33ng/g$) and the kidney ($20.29{\pm}7.02ng/g$).

• 한국의학물리학회지:의학물리
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• 제21권1호
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• pp.22-28
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• 2010

유방암 중에서 가장 발생율이 높은 침윤성 관상피암을 대상으로 생체 국소 수소핵 자기공명분광법(localized in vivo $^1H$ MRS)을 시행하여 조직학적 형태에 따른 자기공명 분광상(MR spectroscopy)의 특성을 분석하고자 본 연구를 실시하였다. 조직학적으로 침윤성 관상피암으로 진단 받은 환자 40명을 대상으로 하여 종양이 있는 부위를 실험군으로 정하였고 종양이 없는 반대쪽 부위를 대조군으로 정하여 3.0T MR scanner를 이용한 수소핵 자기공명분광영상으로 검사를 시행하여 영상 및 분광 정보를 얻었다. 유방암 환자 40명 중 34명(85%)에서 3.2 ppm 분광정점을 확인할 수 있었고 MRS상 3.2 ppm에서의 분광정점 발현여부를 유방암의 진단 기준으로 선택하는 경우 민감도는 85% (34/40), 특이도는 92.5% (37/40), 양성예측율은 100% (34/34), 음성 예측율은 86% (37/43)이었다. 정상 조직의 1.3 ppm에서의 분광정점을 진단 기준으로 정할때 민감도는 92.5% (37/40), 특이도는 85% (34/40), 양성 예측율은 100% (37/37), 음성 예측율은 91.8% (34/37)이었다. $^1H$ MRS방법이 유방암의 진단에 이용될 수 있는 가능성을 제시하였고 추후 지속적인 연구를 통해 임상적으로 진단 및 치료 판정에 널리 이용될 수 있을 것으로 사료된다.

• Asian-Australasian Journal of Animal Sciences
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• 제33권7호
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• pp.1138-1147
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• 2020

Objective: A study was made investigate factors affecting body surface temperature changes after weaning in sows, whether these can be used to aid detection of natural estrus and how they relate to subsequent reproductive performance. Methods: A total of 132 sows were selected during summer from a breeding farm, with mean parity of 3.6±2.3 and 28.5±0.9 days lactation length. Four daily measurements (6:00, 8:00, 16:00, and 18:00) of vulva (VST), udder (UST), ear base and central back skin temperatures for individual sows were taken by an infrared thermometer, continuing up to 8 days post weaning. Results: The VST obtained from sows showing estrus at 4 days post-weaning (4DPW), 5DPW, and 6DPW showed a peak at the fourth day post-weaning, but then started to decrease. The VST of sows not detected in standing heat (NDPW) remained at a lower level during the experiment, but UST was increased soon after weaning. The VST-UST temperature differences during daytime of sows that were showing behavioural standing heat on 4DPW, 5DPW, 6DPW, and 7DPW were 0.46℃±0.123℃, 0.71℃±0.124℃, 0.66℃ ±0.171℃, and 0.58℃±0.223℃, respectively. The NDPW sows had the highest UST observed, but also the lowest VST so that a more negative value of temperature difference (-0.31℃) was seen during first few days post-weaning. A total of 119 sows were observed to show standing heat and were bred. The later the estrus, the smaller the litter size (p = 0.005). Conclusion: Sows which did not show behavior indicative of stable standing heat after weaning had a VST which remained at a lower level, but the UST increased soon after weaning. Therefore, for sow heat detection under field conditions, the changes of VST and UST and difference between the two should be considered together to increase the accuracy of detection.

• 한국산학기술학회논문지
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• 제21권9호
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• pp.17-24
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• 2020

본 연구는 제방 균열의 탐지를 위해 드론 기반의 초분광 영상을 활용하여 균열의 분광정보 및 반사율을 분석하는 것이 목적이다. 초분광 센서는 드론에 탑재된 Nano-Hyperspec을 사용하였으며 안동댐 하류 제방 균열을 대상으로 조도별 초분광 영상을 촬영하였다. 조도와 최대강도에 대한 분석 결과 상관관계를 보였으며 비균열 영역과 균열 영역의 결정계수는 각각 0.9864, 0.9851로 계산되었다. 각 영역별 같은 포인트의 반사율은 조도에 상관없이 유사한 값과 패턴을 보였으며 반사율 계산 시 기준이 되는 백색판이 조도에 따라 변하기 때문인 것으로 판단된다. 균열 영역에서 반사율은 비균열 영역에 비해 가시광선에서는 5.65%, 근적외선에서는 4.58% 낮게 나타났다. 향후 드론 촬영을 위한 짐벌 방향과 카메라 각도 등이 보정되면 좀더 정확한 균열 탐지가 가능하며 특히 초분광 영상은 일반 RGB 영상으로 확인이 어려운 균열 심도, 점토광물 종류 등에 대한 탐지가 가능하기 때문에 제방 안정성 평가를 위한 선제적 대응방법이 될 것으로 판단된다.