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A Case of Yellow Nail Syndrome: Misdiagnosis as Congestive Heart Failure
Bae, Byeong-Joo,Kim, Hee-Joung,Kim, Sun-Jong,Lee, Kye-Young,Kim, Won-Dong,Yoo, Kwang-Ha The Korean Academy of Tuberculosis and Respiratory 2011 Tuberculosis and Respiratory Diseases Vol.71 No.1
Yellow nail syndrome (YNS) is a rare disorder of unknown cause associated with yellow nails, lymphedema and respiratory manifestations. It was first described by Samman and White in 1964, and to date, approximately 150 cases have been reported. The diagnosis of YNS is essentially a clinical one and based on the presence of characteristic findings. We report a case of YNS of a 62-year-old female who presented with a 4-month history of dyspnea and recurrent pleural effusion. The patient had a 5-year history of leg swelling and dyspnea. She had been managed with medications for congestive heart failure (CHF) for two years and she was referred to our hospital for further evaluation and management.
Case Reports : A Case of Yellow Nail Syndrome: Misdiagnosis as Congestive Heart Failure
( Byeong Joo Bae ),( Hee Joung Kim ),( Sun Jong Kim ),( Kye Young Lee ),( Won Dong Kim ),( Kwang Ha Yoo ) 대한결핵 및 호흡기학회 2011 Tuberculosis and Respiratory Diseases Vol.71 No.1
Yellow nail syndrome (YNS) is a rare disorder of unknown cause associated with yellow nails, lymphedema and respiratory manifestations. It was first described by Samman and White in 1964, and to date, approximately 150 cases have been reported. The diagnosis of YNS is essentially a clinical one and based on the presence of characteristic findings. We report a case of YNS of a 62-year-old female who presented with a 4-month history of dyspnea and recurrent pleural effusion. The patient had a 5-year history of leg swelling and dyspnea. She had been managed with medications for congestive heart failure (CHF) for two years and she was referred?to our hospital for further evaluation and management.
A Superposed Log-linear Process for Bathtub-shaped Intensity
Byeong Min Mun,Suk Joo Bae 대한산업공학회 2010 대한산업공학회 추계학술대회논문집 Vol.2010 No.11
Power law process(PLP) 및 log linear process(LLP)는 단조추세(monotonic trend)를 가지는 수리가능 시스템의 고장발생률(failure intensity)을 모형화하기 위하여 많이 사용되고 있다. 하지만 다양한 고장모드를 포함하는 크고 복잡한 수리가능 시스템에서는 단조추세 뿐만 아니라 욕조곡선 형태(bathtub-shaped) 등의 비단조추세(non-monotonic)를 가지는 경우가 더 빈번히 발생하며, 기존의 PLP 및 LLP로는 모형화하는데 많은 제약이 존재하게 된다. 본 논문에서는 욕조곡선 형태의 비단조추세를 모형화하기 위하여 새로운 superposed log-linear process(S-LLP)를 제안하였으며, S-LLP의 고장발생률이 욕조곡선 형태임을 입증하였다. 또한 모수 추정 방법으로써 수정된 로그우도함수(modified log-likelihood function) 및 그 추정 절차를 제안하고, 이를 욕조곡선 형태의 고장발생률을 가지는 군장비의 고장 데이터에 적용, 그 효용성을 입증하였다.
Condition monitoring of a steam turbine generator using wavelet spectrum based control chart
Bae, Suk Joo,Mun, Byeong Min,Chang, Woojin,Vidakovic, Brani Elsevier 2019 Reliability engineering & system safety Vol.184 No.-
<P><B>Abstract</B></P> <P>Condition-based maintenance (CBM) is designed to take maintenance actions only when there is an imminent evidence of failure for a monitoring system. The parameters indicating health status of the system are continuously monitored in CBM. This article proposes a condition monitoring scheme based on energy profiles generated from wavelet spectrum analysis. The energy of time series is represented by a wavelet spectrum in scale representations of signals. After deriving wavelet spectrums using a discrete wavelet transform at pre-specified windows, we aim to monitor the system based on multivariate <I>T</I> <SUP>2</SUP> chart for the parameters in the linear energy profiles. The monitoring scheme is applied to temperature signals measured from a steam turbine generator. The proposed <I>T</I> <SUP>2</SUP> chart based on the energy profiles shows a potential in early detecting the abnormality of a monitoring system which is not clearly detectable in original time scales.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Propose a condition monitoring scheme based on energy profiles generated from wavelet spectrum analysis. </LI> <LI> Monitor the system based on multivariate <I>T</I> <SUP>2</SUP> chart for the parameters in the linear energy profiles. </LI> <LI> The proposed approach is applied to temperature signals measured from a steam turbine generator. </LI> </UL> </P>
Bae, Jae Wung,Park, Jeong Min,Moon, Jongun,Choi, Won Mi,Lee, Byeong-Joo,Kim, Hyoung Seop Elsevier 2019 JOURNAL OF ALLOYS AND COMPOUNDS Vol.781 No.-
<P><B>Abstract</B></P> <P>Non-equiatomic Co<SUB>17.5</SUB>Cr<SUB>12.5</SUB>Fe<SUB>55</SUB>Ni<SUB>10</SUB>Mo<SUB>5</SUB> (Mo5) and Co<SUB>18</SUB>Cr<SUB>12.5</SUB>Fe<SUB>55</SUB>Ni<SUB>7</SUB>Mo<SUB>7.5</SUB> (Mo7.5) medium-entropy alloys were synthesized by vacuum induction melting, cold rolling, and subsequent annealing treatment at various temperatures (900–1200 °C) and they were investigated to exploit the precipitation strengthening in addition to solid solution strengthening of alloys. The effect of annealing temperature and Mo content on the microstructure and mechanical properties are systematically analyzed. From the microstructural analysis, a Mo-rich μ phase is observed in the face-centered cubic (fcc) matrix. Increasing the Mo content and low annealing temperature enhance the formation of μ phase, which is consistent with the thermodynamic calculation results. The formation of μ phase effectively enhances the strength of the Mo7.5 alloy by precipitation strengthening, and suppression of grain growth and recrystallization by Zener pinning effect. These lead to superior combination of tensile strength as high as 1100 MPa and large ductility. Our results provide insights not only into μ-phase strengthening of fcc-structured alloys, but also into the future development of high-performance MEAs.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The effect of μ-precipitates in the non-equiatomic CoCrFeNiMo alloys is discussed. </LI> <LI> Further addition of Mo and decrease in annealing temperature enhances the formation of μ phase. </LI> <LI> Formation of μ phase retards the recrystallization and grain growth by Zener pinning effect. </LI> <LI> The present non-equiatomic CoCrFeNiMo alloys exhibits superior tensile properties by multiple strengthening mechanisms. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>