• 한국안전학회지
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• 제26권4호
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• pp.7-13
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• 2011

A study on reliability estimation of sequential-ordered multiple failure modes, which are sequentially ordered between failure modes in a considering system, was performed. Especially, an approach to estimate the probabilities of failure modes has been proposed under an assumption that failure modes are mutually exclusive and sequentially ordered by only a critical variable. A feasibility of the proposed approach were studied by a practical example, which is a reliability estimation of passive safety systems for a probabilistic safety assessment(PSA) of a very high temperature reactor(VHTR) that is under development as a future nuclear system with enhanced safety features. It is difficult to define a robust failure state of this nuclear system because of its enhanced radiation release characteristics, so the new approach is a useful concept to estimate not only its safety but also a PSA. A feasibility study applied two failure modes(e.g., small and large release of radioactive materials) with considering the integrated behavior of this nuclear system. It is expected that the multiple release states for a practical estimation can be easily extended to the aforementioned example. It was found out that the proposed approach was a useful technique to cover the unfavorable features of this nuclear system as to performing a VHTR PSA.

• Clinical and Experimental Pediatrics
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• 제58권1호
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• pp.28-32
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• 2015

Purpose: Diencephalic syndrome is an uncommon cause of failure to thrive in early childhood that is associated with central nervous system neoplasms in the hypothalamic-optic chiasmatic region. It is characterized by complex signs and symptoms related to hypothalamic dysfunction; such nonspecific clinical features may delay diagnosis of the brain tumor. In this study, we analyzed a series of cases in order to define characteristic features of diencephalic syndrome. Methods: We performed a retrospective study of 8 patients with diencephalic syndrome (age, 5-38 months). All cases had presented to Seoul National University Children's Hospital between 1995 and 2013, with the chief complaint of poor weight gain. Results: Diencephalic syndrome with central nervous system (CNS) neoplasm was identified in 8 patients. The mean age at which symptoms were noted was $18{\pm}10.5$ months, and diagnosis after symptom onset was made at the mean age of $11{\pm}9.7$ months. The mean z score was $-3.15{\pm}1.14$ for weight, $-0.12{\pm}1.05$ for height, $1.01{\pm}1.58$ for head circumference, and $-1.76{\pm}1.97$ for weight-for-height. Clinical features included failure to thrive (n=8), hydrocephalus (n=5), recurrent vomiting (n=5), strabismus (n=2), developmental delay (n=2), hyperactivity (n=1), nystagmus (n=1), and diarrhea (n=1). On follow-up evaluation, 3 patients showed improvement and remained in stable remission, 2 patients were still receiving chemotherapy, and 3 patients were discharged for palliative care. Conclusion: Diencephalic syndrome is a rare cause of failure to thrive, and diagnosis is frequently delayed. Thus, it is important to consider the possibility of a CNS neoplasm as a cause of failure to thrive and to ensure early diagnosis.

• Smart Structures and Systems
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• 제22권2호
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• pp.185-192
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• 2018

Participants in the Asia Pacific Conference of the Prognostics and Health Management Society 2017 (PHMAP 2017) Data Challenge were given measured vibration signals from motor-driven gearboxes used in pulverizers. Using this information, participants were requested to predict failure dates and the faulty components. The measured signals were affected by significant noise and disturbance, as the pulverizers in the provided data worked under actual operating conditions. This paper thus presents a fault prediction method for a motor-driven gearbox in a pulverizer system that can perform under external noise and disturbance conditions. First, two fault features, an RMS value in the higher frequency zones (HRMS) and an amplitude of a period for high-speed shaft in the quefrency domain ($QA_{HSS}$), were extracted based on frequency analysis using the higher and lower sampling rate data. The two features were then applied to each pulverizer based on results of frequency responses to impact loadings. Then, a regression analysis was used to predict the failure date using the two extracted features. A weighted regression analysis was used to compensate for the imbalance of the features in the given period. In addition, the faulty components in the motor-driven gearboxes were predicted based on the modulated frequency components. The score predicted by the proposed approach was ranked first in the PHMAP 2017 Data Challenge.

• 한국터널지하공간학회 논문집
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• 제18권5호
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• pp.469-485
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• 2016

심부 터널 주변 암반의 파괴는 불연속면의 영향을 크게 받는 천부 터널 주변과 다르게 응력의 크기와 방향이 지배한다. 응력 지배 파괴의 양상은 응력 조건, 암석의 특성에 따라 연성과 취성으로 구분할 수 있으며 파석, 판상 파괴, 암석 파열 현상의 결과로 나타나는 V-형 홈 형태 취성 파괴 영역의 범위와 깊이는 심부 터널의 굴착과 보강 설계의 주요 인자이므로 이를 파악하는 것은 중요하다. 취성 파괴의 특성은 응력 조건에 따라 점착력 상실과 마찰력 전이로 구성된다는 점과 진행성 파괴라는 점이다. 본 연구는 이중 선형 절단 파괴 포락선과 탄성-탄소성 연계 해석과 점진적 탄소성 영역 확대라는 해석 절차와 방법을 도입하여 터널 주변 취성 암반의 파괴를 합리적으로 모사할 수 있는 3차원 수치 모델을 구현하였다. 이 수치 모델이 예상한 취성 파괴 영역의 깊이는 기존 사례 연구를 통한 경험식의 결과와 부합되었다.

• 한국기계가공학회지
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• 제20권3호
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• pp.1-7
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• 2021

With the advent of industry 4.0, big data and machine learning techniques are being widely adopted in the maintenance domain. Inverters are widely used in many engineering applications. However, overloading and complex operation conditions may lead to various failures in inverters. In this study, failure mode effect analysis was performed on inverters and voltages collected to investigate the over-voltage effect on capacitors. Several features were extracted from the collected sensor data, which indicated the health state of the inverter. Based on this correlation, the best features were selected for classification. Moreover, random forest classifiers were used to classify the healthy and faulty states of inverters. Different performance metrics were computed, and the classifiers' performance was evaluated in terms of various health features.

• Geomechanics and Engineering
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• 제25권4호
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• pp.275-282
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• 2021

Failure mechanism which can affect geotechnical infrastructures (shallow foundations, retaining walls, and piles) constitutes one of the most encountered problems during the design process. In this respect, the shear behavior of interfaces between grained soils and solid building materials, as well as those between cohesive soils should be investigated. Therefore, a range of ring shear tests with different cohesive soils and stainless-steel interfaces have been carried out through the Bromhead apparatus that allows simulating large displacements along a failure surface. The effects of steel rings roughness and soil type on the residual friction coefficient and the shear zone features (structure, thickness, and texture orientation angle) have been investigated using the Scanning Electron Microscopy. The obtained results indicate that the residual friction coefficient and the structural characteristics of the shear zone vary according to the surface roughness and the soil type. Scanning electron microscopy reveals that the particles inside the shear zone tend to be re-oriented. Also, the shear failure mechanism can be identified along with the interface, within the soil, or simultaneously at the interface and within the soil specimen.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.13-18
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• 2023

This paper aims to investigate data features for neighbor path selection (NPS) in computer network with regional failures. It is necessary to find an available alternate communication path in advance when regional failures due to earthquakes or forest fires occur simultaneously. We describe previous general heuristics and simulation heuristic to solve the NPS problem in the regional fault network. The data features of general heuristics using proximity and sharing factor and the data features of simulation heuristic using machine learning are explained through examples. Simulation heuristic may be better than general heuristics in terms of communication success. However, additional data features are necessary in order to apply the simulation heuristic to the real environment. We propose novel data features for NPS in computer network with regional failures and Keras modeling for computing the communication success probability of candidate neighbor path.

• 대한한방내과학회지
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• 제29권4호
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• pp.871-886
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• 2008

Objective : Gypsum fibrosum has been traditionally used in treatment of febrile diseases and recently been shown to have anti-inflammatory effect. Chronic renal failure has a serious clinical symptoms including proteinuria, azotemia, anemia, and hyperlipidemia and has characteristic histopathological changes, glomerular hypertrophy, infiltration of inflammatory cells, and crescentic sclerosis, We investigated the effects of gypsum fibrosum on renal functional and histopathological disorder in chronic renal failure rat model induced 5/6 nephrectomy. Methods : Using Sprague-Dawley rats, CRF was induced by 5/6 nephrectomy. The rats were divided into 3 groups, normal, conrol, and gypsum administered orally with gypsum fibrosum 500mg/kg/day. Body weight, 24 hr proteinuria, hematologic analysis, and histological morphologic changes were followed up after 8 weeks. The glomerular macrophage/monocyte infiltration, $TGF-{\beta}_1$, type IV collagen, and angiotensin II type1 receptor($AT_1$) were evaluated by immunohistochemistry. Resuls : In the CRF control group, functional parameters and histopathologic changes clearly indicated the development of CRF. 24 hr proteinuria significantly increased in the CRF control group over the normal group, and serum creatinine level was lower in the gypsum group than in the control group, LDL-cholesterol was significantly lower in the gypsum group than in the control group. Morphological investigations showed a variety of characteristic features of CRF, glomerular hypertrophy, increasing cellular density of glomerulus, deposition of extra-cellular matrix, fibrotic change, and glomerular sclerosis in the control group, but in the gypsum group, these features diminished significantly. In observation of renal type IV collagen and $AT_1$ expression, positive area significantly increased in the control group over the normal group, and it significantly decreased in the gypsum group compared to the control group. Conclusions : Our findings suggest that gypsum fibrosum inhibits $AT_1$ and type IV collagen expression in renal tissues and attenuates progression of glomerulosclerosis and interstitial fibrosis in chronic renal failure rats, which lead to amelioration of renal function. From these results, we suggest that gypsum fibrosum may have renoprotective effects and could be a useful remedy agent for treating chronic renal failure.

• 지질공학
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• 제12권3호
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• pp.295-303
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• 2002

암반사면의 붕괴형태는 원호, 평면, 쐐기 또는 전도파괴로 구분하며, 각각의 붕괴는 역학적인 안정조건을 벗어날 경우 붕괴가 발생하는 것으로 평가한다. 특히, 암반사면 평면파괴는 절리면의 방향성에 대하여 일반적으로 '활동가능성이 있는 면의 주향과 절취사면의 주향의 차이가 약 20$^{\circ}$ 이상일 경우에는 발생하지 않는 것으로 알려져 있고 설계되고 있다. 그러나, 이러한 안정조건을 만족한 경우라도 사면의 붕괴가 빈번히 발생하고 있는 실정이다. 따라서, 본 논문에서는 이러한 안정된 사면조건에도 불구하고 현장 지형여건상 붕괴가 발생한 사례를 중심으로 국내 암반사면의 평면파괴조건을 제시하였다.

• 대한임상독성학회지
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• 제18권2호
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• pp.116-122
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• 2020

Acute respiratory failure is an important risk factor for mortality in patients with acute pesticide poisoning. Therefore, it is necessary to investigate the risk factors to predict respiratory failure in these patients. This study retrospectively investigated the clinical features of respiratory failure among patients with acute pesticide poisoning requiring mechanical ventilation. This study included patients who were admitted with intentional poisoning by pesticide ingestion from January 2017 to December 2019. Paraquat intoxication was excluded. Among 469 patients with acute pesticide poisoning, 398 patients were enrolled in this study. The respiratory failure rate was 30.4%. The rate of respiratory failure according to the type of pesticide was carbamate (75.0%), organophosphate (52.6%), glufosinate (52.1%), glyphosate (23%), pyrethroid (8.9%), and others (17%). The mortality was 25.6% in the respiratory failure group. The risk factors for respiratory failure were old age, low body mass index, and ingestion of more than 300 mL. In conclusion, respiratory failure is a risk factor for mortality in pesticide poisoning. Old age, low body mass index, and ingestion of more than 300 mL are the risk factors for predicting respiratory failure.