• Water for future
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• v.29 no.3
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• pp.187-195
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• 1996

In this study, a methodology for the hourly prediction of rainfall surfaces was applied to the Pyungchang river basin at the upstream of South Han river with meteorological radar and ground rainfall data. The methods for the exclusion of abnormal echoes, and suppression of ground clutter, and the augmentation of attenuation effects associated with rainfall phenomena were reviewed, and the relationship between radar reflectivity (Z) and rainfall rate (R) was analyzed. The transformation of augmented radar reflectivities into the rdar rainfall surfaces was carried out, and afterward they were synthesized with the ground rainfall data generating the hourly rainfall surfaces. For the prediction of hourly rainfall surface, the moving factors of rainfall field estimated by the cross correlation coefficient method and the temporal variation of radar rainfall intensities were considered. The synthesized hourly rainfall surfaces were used to predict the hourly rainfall surfaces up to 3 hours in advance and subsequently the results were compared with the measured and the synthesized. It seems that the prediction method need to be verified with more data and be complemented further to consider the physical characteristics of rainfall field and the topography of the basin.

• Journal of Veterinary Clinics
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• v.30 no.2
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• pp.138-141
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• 2013

A 4-month-old, intact male mongrel dog was presented with trauma (hit by car), astasia, stupor and abdominal pain. Radiographic findings were peritoneal effusion, intestinal dilation, right iliac fracture, and microcardia. Abdominal ultrasonography revealed severely, dilated small intestine containing anechoic fluid in lumen and intramural gas within the wall. The sonographic finding suggested pnematosis intestinalis (PI), and vascular compromise of bowel loop by trauma was strongly suspected. After the dog was dead, postmortem examination revealed discolored and necrotized small intestine strangulated by sublumbar muscle. The detection of echogenic gas bubbles in the wall of bowel using ultrasound may be helpful in detecting PI.

• Journal of radiological science and technology
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• v.32 no.2
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• pp.177-182
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• 2009

Purpose : This study presents the optimization of flip angle (FA) to obtain higher contrast to noise ratio (CNR) and lower specific absorption rate (SAR). Materials and Method : T1-weighted images of the cerebrum of brain were obtained from 50$^\circ$ to 130$^\circ$ FA with 10$^\circ$ interval. Signal to noise ratios (SNRs) were calculated for white matter (WM), gray matter (GM), and background noise. The proper FA was analyzed by T-test statistics and Kruskal-wallis analysis using R1 = 1- exp ($\frac{-TR}{T1}$) and Ernst angle cos $\theta$ = exp ($\frac{-TR}{T1}$). Results : The SNR of WM at 130$^\circ$ FA is approximately 1.6 times higher than the SNR of WM at 50$^\circ$. The SNR of GM at 130$^\circ$ FA is approximately 1.9 times higher than the SNR of GM at 50$^\circ$. Although the SNRs of WM and GM showed similar trends with the change of FA values, the slowdown point of decrease after linear fitting were different. While the SNR of WM started decreasing at 120$^\circ$ FA, the SNR of GM started decreasing at less than 110$^\circ$. The highest SNRs of WM and GM were obtained at 130$^\circ$ FA. The highest CNRs, however, were obtained at 80$^\circ$ FA. Conclusion : Although SNR increased with the change of FA values from 50$^\circ$ to 130$^\circ$ at 3T SE T1WI, CNR was higher at 80$^\circ$ FA than at the usually used 90$^\circ$ FA. In addition, the SAR was decreased by using smaller FA. The CNR can be increased by using this optimized FA at 3T MR SE T1WI.

• Journal of Broadcast Engineering
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• v.10 no.2
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• pp.210-220
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• 2005

This paper presents and analyzes laboratory test results of Equalization Digital On-Channel Repeater (EDOCR) using ATSC(Advanced Television Systems Committee) terrestrial digital TV broadcasting system. The EDOCR laboratory test, which is done at CRC(Communications Research Centre) Canada, is classified to receiver test, transmitter test, and synchronization test between transmission and reception frequencies. The receiver part includes feedback signal, random noise, single echo, multi-path ensemble, and NTSC/DTV interference test. The transmitter part includes out-of channel emission, quality of transmitting signal, and phase noise test. By the field test results, the receiver part of the EDOCR eliminates average 5.5 dB of feedback or single echo signal in range of 0 to 11 ${\mu}s$ and has average 18.6 dB at TOV(Threshold of Visibility) under random noise environment. Also, the transmitter part of the EDOCR satisfies the specification of US FCC(Federal Communications Commission), and frequency difference between transmitter and receiver is zero.

• Journal of Broadcast Engineering
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• v.15 no.1
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• pp.29-39
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• 2010

This paper presents and analyzes laboratory test results of distributed translator (DTxR) for distributed frequency network (DFN) in the ATSC (Advanced Television Systems Committee) terrestrial digital TV broadcasting system. The DTxR laboratory test is classified to receiving part test and transmitting part test. The receiving part test includes dynamic range, random noise, single echo, and adjacent channel interference. The transmitting part test includes quality of output signal (out-of channel emission, quality of transmitting signal, and phase noise), frequency synchronization among output signals, and TxID (Transmitter Identification) signal's affect to the legacy receiver. By the laboratory test results, the receiving part of DTxR eliminates average -2.5 dB of single echo and has average 17.5 dB at TOV (Threshold of Visibility) under random noise environment. In addition, the transmitting part of DTxR satisfies the specification of US FCC (Federal Communications Commission), and frequency difference among DTxR output signals is less than 0.001 Hz.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.337-339
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• 2001

본 연구에서는 임상적으로 얻어진 95개의 영상 자료를 전산화하여 특정 간 영역의 명도분포를 분석하여 이와 간의 지방화 정도와의 상관성을 연구하였다. 지방화 정도를 판단하는 임상적 기준으로 보편적으로 인정되는 지방간지수와 계산된 평균 명도 수치와의 선형 상관 계수를 구하였다. 각각의 영상의 밝기 및 에코정도가 일반적으로 불균일하기 때문에 이를 보정하기 위해 밝은 명도와 어두운 명도의 기준영역을 선정하여 상대명도를 추출하였다. 두 가지 독립적인 방법으로 기준 영역을 선택하여 비교한 결과, 임상 지방간지수와 높은 상관성을 보임을 알 수 있었고, 지방간 진단의 보조자료로 유용함을 확인하였다. 계산된 지방간지수와 상대명도의 상관계수는 0.69 에서 0.79로 나타났다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.475-479
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• 2006

환자의 체동은 MRI에 의해 제공된 영상의 화질을 저하시키는 주된 원인이 되고 있다. 이에 본 논문에서는 MRI내 3차원 강체운동에 기인한 아티팩트를 제거하는 방법을 제안한다. 이러한 제거 목표를 달성하기 위해 MRI 영상 데이터를 얻기위한 2차원 다-슬라이스 방법(a multiple two dimensional slice technique)이 사용되어 왔다. 대상물체의 운동에 해당하는 수집된 MRI 데이터는 불균일한 표본화와 위상오차에 의해 영향을 받게된다. 3차원 강체운동에 대해 주어진 운동 파라메타와 장면간의 영향이라는 가정하에 양선형 보간법과 중첩법으로 다-슬라이스 데이터를 사용하는 방법에 기초한 재구성 알고리즘을 MRI 아티팩트를 제거하는데 사용한다. 미지의 체동 파라메타를 추정하기 위해 3차원 강체운동은 다-슬라이스 취득방법의 각 영상과 결합된 관심영역 바깥쪽에서 측정된 에너지를 증가시킨다는 사실을 이용하는 최소에너지법을 사용한다. 본 방법의 유효성을 확인하기 위해 3차원 강체운동에 의해 화질이 저하된 스핀-에코우 영상에 적용한 결과 화질이 식별될 수 있을 정도로 개선됨을 확인하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.31-34
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• 2014

모바일 프로세서와 모바일 운영체제의 발달에 따라 스마트폰에서도 멀티미디어 신호 처리를 실시간으로 처리가 가능해 졌다. 또한 스마트폰의 급격한 보급률의 증가 및 대중의 악기에 대한 관심이 높아졌다. 이러한 흐름에 따라 국내에 특히 많이 보급되어 있는 안드로이드 스마트폰을 이용하여 고비용의 멀티 이펙트를 대체할 수 있는 어플리케이션을 구현했다. 멀티 이펙트에는 디스토션, 오버드라이브, 딜레이, 에코, 플렌저, 코러스 및 비브라토를 포함하였으며, 구현 결과 매틀랩 시뮬레이션과 유사함을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.519-521
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• 2023

온라인 뉴스 플랫폼의 발전은 에코 챔버(echo chamber) 효과와 정치적 양극화를 심화시키며, 이를 완화하기 위한 선행 연구로 뉴스 기사의 정치적 성향을 판단하는 연구가 필요하다. 기존 연구는 외부 지식 그래프를 활용하여 뉴스 기사의 텍스트 정보를 더욱 풍부하게 표현한다. 그러나, 외부 지식을 임베딩하는 지식 그래프 임베딩(knowledge graph embedding, KGE) 방법은 다양하며, 각 KGE 방법이 정치적 성향 예측 정확도에 미치는 효과에 대해서 충분히 연구되지 않았다. 본 논문에서는 정치적 성향 예측에 외부 지식의 활용을 최대화하기 위한 다양한 KGE 방법들의 효과를 분석한다. 실험 결과, 외부 지식 그래프 내의 개체들 간 복잡한 관계를 간단하고 정확하게 표현 가능한 ModE 방법을 활용하는 것이 정치적 성향 예측에 가장 효과적이라는 것을 확인하였다.

• Journal of Advanced Navigation Technology
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• v.18 no.4
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• pp.304-311
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• 2014

In this paper, we propose a ultra sound inspection technique for automatic defect detection and classification in aircraft composite materials. Using local maximum values of ultra sound wave, we choose peak values for defect detection. Distance data among peak values are used to construct histogram and to determine surface and back-wall echo from the floor of composite materials. C-scan image is then composed through this method. A threshold value is determined by average and variance of the peak values, and defects are detected by the values. PCA(principal component analysis) and QDA(quadratic discriminant analysis) are carried out to classify the types of defects. In PCA, 512 dimensional data are converted into 30 PCs(Principal Components), which is 99% of total variances. Computational cost and misclassification rate are reduced by limiting the number of PCs. A decision boundary equation is obtained by QDA, and defects are classified by the equation. Experimental result shows that our proposed method is able to detect and classify the defects automatically.