• Korean Journal of Veterinary Research
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• v.59 no.4
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• pp.223-226
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• 2019

A 7-year-old, spayed female Chihuahua with dyspnea, intermittent cyanosis, and dermal plaques was diagnosed with hyperadrenocorticism. Thoracic radiographs showed markedly hyperdense alveoli in multiple lung lobes. Computed tomography (CT) images showed lung mineralization confined to the lung parenchyma and pituitary macroadenoma. Pulmonary mineralization secondary to hyperadrenocorticism is commonly found on histopathologic examination. However, those lesions are rarely identified radiographically. We describe obvious pulmonary mineralization secondary to hyperadrenocorticism found on radiographs and present the first report regarding CT imaging of the mineralization. Pulmonary mineralization should be considered when a dog affected by hyperadrenocorticism shows diffuse lung mineralization on radiographs.

• ETRI Journal
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• v.35 no.6
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• pp.990-1000
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• 2013

This paper describes the scalable extension of High Efficiency Video Coding (HEVC) to provide flexible high-quality digital video content services. The proposed scalable codec is designed on multi-loop decoding architecture to support inter-layer sample prediction and inter-layer motion parameter prediction. Inter-layer sample prediction is enabled by inserting the reconstructed picture of the reference layer (RL) into the decoded picture buffer of the enhancement layer (EL). To reduce the motion parameter redundancies between layers, the motion parameter of the RL is used as one of the candidates in merge mode and motion vector prediction in the EL. The proposed scalable extension can support scalabilities with minimum changes to the HEVC and provide average Bj${\o}$ntegaard delta bitrate gains of about 24% for spatial scalability and of about 21% for SNR scalability compared to simulcast coding with HEVC.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.11a
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• pp.336.1-336
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• 2002

Recently, mixers are being widely used in the water purification plant in order to increase the filtration efficiency. The cause of an excessive vibration of a base structure to which the mixers are supported, has been evaluated through modal analysis on the mixer shaft and vibration measurements during operation. The fundamental natural frequency of the mixer shaft is found to be around 1.8 Hz and the main vibratory frequency around 30 Hz. (omitted)

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.175-176
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• 2015

This paper presents a coordinated control scheme of a doubly-fed induction generator (DFIG)-based wind power plant (WPP) to suppress the overvoltage after a fault clearance. To achieve this, the variation of the terminal voltage at a fault clearance is captured and used to DFIG and WPP controllers. As a result, DFIGs within a WPP suppress the overvoltage rapidly by reducing the reactive power injection. The performance of the proposed scheme was investigated for a 100 MW WPP consisting of 20 units of 5 MW DFIGs for a grid fault. The results show the proposed scheme successfully suppresses the overvoltage at the point of interconnection.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.10a
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• pp.833-834
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• 2014

In recent years, a pattern recognition method has been widely used by researchers for fault diagnoses of mechanical systems. A pattern recognition method determines the soundness of a mechanical system by detecting variations in the system's vibration characteristics. Hidden Markov model has recently been used as pattern recognition methods in various fields. In this study, a HMM method for the fault diagnosis of a mechanical system is introduced, and a rotating machine with mass unbalance is selected for fault diagnosis. Moreover, a diagnosis procedure to identity the size of a defect is proposed in this study.

• Journal of Aerospace System Engineering
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• v.7 no.2
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• pp.8-14
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• 2013

When launch vehicles are manufactured, one of the key points is a design of lightweight structure for reducing costs. Isogrid structure was designed to solve this topic, and many researches were carried out about buckling load because compression load is mainly applied to them. Recently, many studies are also being carried out about FEM model geometry of isogrid structure. The reason is that isogrid structure depends on size of ribs so it is difficult to modify about small changes in rib pattern. In this study, 1/8 model of cylindrical isogrid structure model was developed to analyze buckling behavior. Through parameter study, buckling analysis were performed to analyze buckling load and buckling mode depending on size of ribs.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.258-258
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• 2004

• Journal of information and communication convergence engineering
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• v.17 no.4
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• pp.285-289
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• 2019

A 1.9-GHz linear CMOS power amplifier is presented. An adaptive bias circuit (ABC) that utilizes an AC ground to detect the power level of the input signal is proposed to enhance the linearity and efficiency of the power amplifier. The ABC utilizes the second harmonic component as the input to mitigate the distortion of the fundamental signal. The input power level of the ABC was detected at the AC ground located at the V_DD node of the power amplifier. The output of the ABC was fed into the inputs of the power stage. The input signal distortion was mitigated by detecting the input power level at the AC ground. The power amplifier was designed using a 180 nm RFCMOS process to evaluate the feasibility of the application of the proposed ABC in the power amplifier. The measured output power and power-added efficiency were improved by 1.7 dB and 2.9%, respectively.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.105-108
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• 2004

데이터 양이 급증함에 따라 축적된 데이터로부터 의미있는 지식을 추출해 내고자 하는 데이터 마이닝에 대한 연구가 활발하게 진행되어 왔다. 특히 최근, 환경이 이동 분산화 되어감에 따라 감시${\cdot}$모니터링 시스템, 기상 관측 시스템, GPS 시스템과 같은 다양한 응용 시스템으로부터 방대한 양의 시공간 데이터가 발생하게 되었고, 이른 효율적으로 분석하고자 하는 시공간 데이터 마이닝 연구에 대한 관심이 더욱 높아지고 있다. 기존의 데이터 마이닝 기법의 경우 문자나 숫자 데이터를 대상으로 최적화 되어있기 때문에 시${\cdot}$공간 속성을 동시에 가지는 데이터를 분석하기에는 한계가 있는 것이 사실이다. 본 논문에서는 SOM(Self-Organizing Map)을 적용하여 시공간 클러스터링 모듈을 개발하고, 개발된 모듈의 성능 및 클러스터링 정확성을 다른 세 가지 군집분석 알고리즘과 비교, 분석하였다. 또한 가시화 모듈을 개발하여 입력 데이터의 특성과 결과를 더욱 정확하게 분석할 수 있도록 하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.147-148
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• 2018

최근 JVET(Joint Video Experts Team)은 새로운 비디오 압축 표준인 VVC(Versatile Video Coding)의 표준화를 시작하였다. 기존의 HEVC 및 VVC의 참조 SW 코덱인 HM 및 VTM(Versatile Test Model)에서는 효율적인 화면간 예측 부호화를 위한 움직임 정보 병합(Merge) 모드를 사용하고 있다. 본 논문에서는 VTM 의 Merge 후보 리스트 구성에서 공간적 주변블록의 움직임 정보가 존재하지 않을 경우, 이를 대체할 수 있는 Merge 후보 리스트 생성 기법을 제시한다. JVET CTC(Common Test Condition)를 이용하여 제안한 기법의 실험을 진행하였고, 실험결과 Y, U, V 성분 각각 0.2%, 0.17%, 0.12%의 BD-rate 감소를 확인하였다.