• Proceedings of the Korean Reliability Society Conference
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• 2011.06a
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• pp.61-70
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• 2011

본 논문에서는 전원회로에 사용되는 주요 부품인 트랜스포머에 대한 주요한 고장모드, 고장메커니즘, 스트레스 인자들을 규정하고 그에 따른 가속열화시험을 실시하여 가장 유효한 스트레스 인자를 도출하고 트랜스포머의 열화가 전원회로에 미치는 영향을 분석에 대한 연구를 진행하였다. 전원회로의 고장분석에서, 트랜스포머의 일시적인 특성변화 또는 고장현상(Bunt, Short, Open 등) 발생으로 인한 전류의 급증, 공진주파수 부조화, Spike 발생 등으로 인한 주변부품 또는 구성회로에 미치는 영향을 정확하게 분석하는 것이 어렵다는 점과 비교적 단순한 구조와 강한 내성으로 뚜렷한 고장모드를 보이지 않는 특징으로 인해 전원회로의 고장원인이 트랜스포머 외의 반도체 소자, 저항, 커패시터 등에 의한 것으로 분석되는 것이 일반적이다. 유효한 스트레스 인자별 가속열화시험을 통한 성능평가에서는 절연저항을 제외한 특성에서는 뚜렷한 변화(열화)를 보이지 않았고, 고온고습에 의한 스트레스에서 가장 절연저항의 급격한 열화를 확인할 수 있었다. 또한 열화 각각의 스트레스 인자에 따라 열화시킨 트랜스포머를 실장하여 평가하는 실증적인 방법을 통해 분석한 결과 트랜스포머의 열화는 스위칭소자를 비롯한 주변부품에 스트레스를 가중시켜 발열로 대변되는 현상을 유발하고 트랜스포머 입출력 양단간의 위상편차는 심화시키는 것으로 나타났으며, 스트레스 인자 중 온습도에 의한 영향이 가장 유효하다는 것으로 확인할 수 있었다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.132-135
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• 2010

LDPCA 부호는 부호율-적응적인 특성과 함께 뛰어난 압축률을 가지고 있어 분산 소스 부호화 시스템에서 사용되는 오류정 정부호로서 많이 사용되고 있다. 하지만 소스와 보조정보 사이의 상관관계가 낮은 영역에서는 급격한 성능열화가 일어나게 된다. 본 논문에서는 기존 LDPCA 부호에 특정 압축률 이상의 단계에서 추가 누적 신드롬 대신 변수노드와 일대일로 연결되어 있는 차수-1 신드롬을 전송하는 방식을 적용하여 이 영역에서 급격하게 발생하는 성능열화를 줄였다. 또한 차수-1 신드롬과 연결할 변수노드 집합을 선택할 때 복호화기에서 사용하는 LDPCA 부호의 검사노드 차수 분포를 집중시키는 알고리즘을 제안하여 성능을 더욱 향상시켰다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.462-465
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• 2011

본 논문에서는 다중 반송파, 특히 OFDM 시스템의 PAPR 을 감소시킬 수 있는 CFR 알고리즘을 다룬다. 기존의 피크 윈도윙 기법이 윈도우 길이 내에 피크들이 여러 개 있을 경우, 과도 clipping 으로 인하여 성능이 열화되는 현상을 개선하기 위하여 포락선 기반 피크 윈도윙 기법을 적용한다. 뿐만 아니라, 피크 윈도윙이 가지고 있는 EVM 열화를 완화하기 위하여 기존의 단순 clipping 기법과 혼합하여 시스템에서 요구하는 EVM 성능뿐 아니라 ACLR 성능까지도 만족하도록 한다. MATLAB 을 이용하여 알고리즘을 검증하고, 하드웨어 구현을 위하여 Xilinx Virtex5 를 이용하여 검증하여 제안하는 기법의 복잡도는 높지만 EVM 과 ACLR 성능이 우수함을 알 수 있다. 효율적인 주파수 이용과 수신 성능 측면에서 우수한 성능을 보인다. 따라서 DVB-T 나 LTE, IEEE 802.16m 등의 차세대 방송 및 통신의 전송에 이용되는 OFDM 신호의 PAPR 을 효과적으로 줄일 수 있는 기법으로 적용될 수 있다.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.587-594
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• 2022

This paper analyzed radio link throughput performance by applying radio link simulation and test equipment because there is limit in train filed test in 420 km/h high speed environment. According to the radio performance analysis, the throughput performance is slightly degraded in QPSK and 16QAM modulation schemes. But throughput performance is highly degraded in 64QAM modulation scheme.

• Korean Chemical Engineering Research
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• v.51 no.3
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• pp.325-329
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• 2013

The membrane and electrode were degraded coincidentally at real PEMFC(Proton Exchange Membrane Fuel Cells) operation condition. But the interaction membrane degradation between electrode degradation has not been studied. The effect of membrane degradation on electrode degradation was studied in this work. We compared electrode degradation after membrane degradation and electrode degradation without membrane degradation. I-V performance, hydrogen crossover current, impedance and TEM were measured after and before degradation of MEA. Membrane degradation enhanced hydrogen crossover, and then Pt particle growth rate was reduced. Increase of hydrogen crossover by membrane degradation reduced the electrode degradation rate.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.2
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• pp.243-249
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• 2006

In this paper, the phase noise effects of OFDM transmission diversity systems were analyzed. Since OFDM communication system is very sensitive to phase noise, the system performance may degrade seriously due to the increase of subcarrier interferences and system noise. Therefore, The phase noise model was suggested and its distribution and power were varied to investigate the effects of phase noise on the system performance. The degree of the system performance degradation depends on the specific diversity structures of transmission systems. Here, the performances of OFDM systems with two and three antennas transmission diversity were analyzed and compared with that of systems without transmission diversity as the phase noise characteristics varied.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.2
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• pp.280-286
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• 2007

In this paper, the phase noise effects of OFDM transceiver diversity systems were analyzed. Since OFDM communication system is very sensitive to phase noise, the system performance may degrade seriously due to the increase of subcarrier interferences and system noise. Therefore, the phase noise model was suggested and its distribution and power were varied to investigate the effects of phase noise on the system performance. The degree of the system performance degradation depends on the specific diversity structures of transceiver systems. Here, the performances of OFDM systems with two antennas transceiver diversity were analyzed and compared with that of systems with only transmission diversity and without diversity as the phase noise characteristics varied.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.4
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• pp.391-398
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• 2011

After a concrete is poured, reinforced concrete structures were distressed by physical and chemical factor over time. It is in need to define important variables related to structural behavior for effectively conducting seismic analysis of structures with age-related degradation. In this study, a sensibility analysis using the first-order second moment method was performed to analyze an important variables for the reinforced concrete shear wall with age-related degradation. Because the seismic capacity of aging structures without a concrete hardening effect can be underestimated, the sensibility of analysis variables was analyzed according to the concrete hardening. Important variables for RC shear wall with age-related degradation was presented by using the tornado diagram.

• Journal of Broadcast Engineering
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• v.24 no.3
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• pp.430-439
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• 2019

The CNN (convolutional neural network) based single degradation restoration method shows outstanding performance yet is tailored on solving a specific degradation type. In this paper, we present an algorithm of multi-degradation classification and restoration. We utilize the CNN based algorithm for solving image degradation classification problem using pre-trained Inception-v3 network. In addition, we use the existing CNN based algorithms for solving particular image degradation problems. We identity the restoration order of multi-degraded images empirically and compare with the non-reference image quality assessment score based on CNN. We use the restoration order to implement the algorithm. The experimental results show that the proposed algorithm can solve multi-degradation problem.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.1-10
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• 2021

The ability to recognize human emotions by computer vision is a very important task, with many potential applications. Therefore the demand for emotion recognition using not only RGB images but also thermal images is increasing. Compared to RGB images, thermal images has the advantage of being less affected by lighting conditions but require a more sophisticated recognition method with low-resolution sources. In this paper, we propose a Divide and Conquer-based CNN training strategy to improve the performance of facial thermal image-based emotion recognition. The proposed method first trains to classify difficult-to-classify similar emotion classes into the same class group by confusion matrix analysis and then divides and solves the problem so that the emotion group classified into the same class group is recognized again as actual emotions. In experiments, the proposed method has improved accuracy in all the tests than when recognizing all the presented emotions with a single CNN model.