• 동력기계공학회지
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• 제20권3호
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• pp.29-35
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• 2016

Because of the severe service environment of the large marine vessel, the fatigue strength and its evaluation play an important role in design and maintenance of marine crankshaft. The aim of this work is to investigate the probability distribution of fatigue lives in crank throw forged steel and to develop the methodology for estimation of the probabilistic design fatigue strength. Detailed studies were performed on the constant amplitude axial loading fatigue test. The experiments were controlled by stress ratio of -1 and 15Hz frequency for each stress level. The considerable variability of fatigue life was observed in each stress level under rigidly controlled constant fatigue testing conditions. The fatigue life of crank throw forged steel was well followed the log-normal and Weibull distribution. In addition, it can be used for the estimation of probabilistic design fatigue strength by using the proposed methodology.

• Journal of Radiation Protection and Research
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• 제38권4호
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• pp.185-188
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• 2013

Heating method using electric heater was used to reduce water content in fingernail clippings. Authors found that low water content is helpful to measure EPR signal of fingernail sample with enhanced variability. Generally, natural dehydration happens in normal room condition at least one month and needs much time for using in experiment. So, artificial heating method is applied in this study for time savings. Fingernail samples were tested to find effect of water content to the EPR signal on microwave power levels for dosimetry. Low water content in fingernail reduced variability of EPR signal and makes it possible to measure accurate EPR signal. It also made it possible to measure constant movement of EPR signals on several microwave power levels. Although this method was difficult to apply directly in fingernail/EPR dosimetry, we, authors, believe that this heating method would be useful to differentiate MIS2 and RIS which are generally located at the same g-factor and almost impossible to be identified with each other.

• 한국컴퓨터정보학회논문지
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• 제22권5호
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• pp.65-72
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• 2017

Premature Ventricular Contraction(PVC) arrhythmia is most common abnormal-heart rhythm that may increase mortal risk of a cardiac patient. Thus, it is very important issue to identify the specular portraits of PVC pattern especially from the patient. In this paper, we propose a new method to extract the characteristics of PVC pattern by applying K-means machine learning algorithm on Heart Rate Variability depicted in Poinecare plot. For the quantitative analysis to distinguish the trend of cluster patterns between normal sinus rhythm and PVC beat, the Euclidean distance measure was sought between the clusters. Experimental simulations on MIT-BIH arrhythmia database draw the fact that the distance measure on the cluster is valid for differentiating the pattern-traits of PVC beats. Therefore, we proposed a method that can offer the simple remedy to identify the attributes of PVC beats in terms of K-means clusters especially in the long-period Electrocardiogram(ECG).

• 대한인간공학회지
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• 제12권2호
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• pp.63-83
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• 1993

The primary objective of the research is to develop a mathematical method to incorporate the variability of anthropometric body dimensions and joint strengths of individuals in a biomechanical analysis. A multivariate normal simulation model estimated anthropometric body dimensions and joint strengths of the random link-person, based on the assumptions that the vari- ables of body dimensions and joint strengths are correlated and follow normal distributions. Statistical comparative analysis demonstrated that the random link-person represented a more realistic human-like form in an anthropometric sense than the proportional link-person whose body dimensions were estimated proportionally. Estimated joint strengths for the random link-person, however, did not match the measured joint strengths as closely as the estimated body dimensions. The random link-person will allow biomechanical analysis of manual materials handling tasks to be individualized with respect to the anthropometry and a static strength.

• 경영과학
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• 제29권1호
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• pp.101-114
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• 2012

The demand for naval spare parts is intermittent and erratic. This feature, referred to as non-normal demand, makes forecasting difficult. Hierarchical forecasting using an aggregated time series can be more reliable to predict non-normal demand than direct forecasting. In practice the performance of hierarchical forecasting is not always superior to direct forecasting. The relative performance of the alternative forecasting methods depends on the demand features. This paper analyses the influence of the demand features on the performance of the alternative forecasting methods that use hierarchical and direct forecasting. Among various demand features variability, kurtosis, skewness and equipment groups are shown to significantly influence on the performance of the alternative forecasting methods.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1990년도 추계학술대회
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• pp.25-28
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• 1990

We tested the ability of two-dimensional echocardiograms of complete heart cycle in closed-chest human to discriminate between normal and infarcted myocardium using fixed window, Inter- and Intra-frame analysis. The results show that statistical parameter, MEAN, second order gray level statistics parameter, ASM and proposed parameter, HGE, I.T, can quantitatively distinguish between normal and Infarcted regions. The manner in which these parameters vary over the cardiac cycle is also a good indicator of the state of myocardium. The infarcted areas yield regions of higher Intensity throughout the cardiac cycle. Whereas, normal tissue demonstrates greater variability throughout the cardiac cycle.

• 한국콘텐츠학회논문지
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• 제11권3호
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• pp.271-280
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• 2011

심박 변이도 (HRV) 분석은 심근허혈 (MI)를 평가하기 위한 편리한 도구이다. HRV에 대한 분석법은 시간 영역과 주파수 영역 분석으로 나눠질 수 있다. 본 논문은 단기간의 HRV 분석에 있어서 웨이블릿 변환을 주파수 영역 분석과 시간 영역 분석 비교하기 위하여 사용하였다. ST-T와 정상 에피소드는 각각 European ST-T 데이터베이스와 MIT-BIH Normal Sinus Rhythm 데이터베이스에서 각각 수집되었다. 한 에피소드는 32개 연속하는 RR 간격으로 나눠질 수 있다. 18개 HRV 특징은 시간과 주파수 영역 분석을 통하여 추출된다. 가종 퍼지소속함수 신경망 (NEWFM)은 추출된 18개의 특징을 이용하여 심근허혈을 진단하였다. 결과는 보여주는 평균 정확도로부터 시간영역과 주파수영역의 특징은 각각 75.29%와 80.93%이다.

• The Korean Journal of Pain
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• 제22권1호
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• pp.39-46
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• 2009

Background: Ketamine has an indirect sympathetic stimulation effect. We investigated heart rate variability (HRV) as a marker of cardiac autonomic function after a target controlled infusion (TCI) of ketamine with a plasma concentration of 30 or 60 ng/ml. Methods: In 20 adult volunteers, the mean of the R wave to the adjacent R wave interval (RRI), the range of RRI, the root mean square successive difference of intervals (RMSSD), the total power, the low frequency (LF, 0.04-0.15 Hz) power, the high frequency (HF, 0.15-0.4 Hz) power, the normal unit HF (nuHF), the normal unit LF (nuLF), the LF/HF ratio and the SD1 and the SD2 in the Poincare plot were measured before and after a TCI of ketamine. We observed for any psychedelic symptoms or sedation. Results: There were no differences in the mean and range of the RRI, RMSSD, total power, LF power, HF power, nuHF, nuLF, LF/HF ratio, SD1 and SD2 between before and after ketamine administration. The OAA/S score was higher and there were more psychedelic symptoms with a 60 ng/ml plasma concentration than with a 30 ng/ml plasma concentration. Conclusions: This study did not show any effect of a low plasma concentration of ketamine on the autonomic nervous system.

• 대한토목학회논문집
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• 제30권3B호
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• pp.285-293
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• 2010

지표에서의 토양수분은 수문학적, 생태학적 과정에서 지표면과 대기 사이의 물과 에너지의 교환을 조절하는 매우 중요한 인자로써 최근 이의 시공간적 변동성에 대한 연구가 활발하게 진행되고 있다. 본 연구에서는 2004년 6~9월에 걸쳐 추진되었던 Soil Moisture Experiment 2004(SMEX04) 프로젝트를 통하여 측정된 미국 Arizona 주의 Walnut Gulch Experimental Watershed 유역에 대한 토양수분 데이터를 이용하여 건조 지역에서의 토양수분의 시공간적 변동성을 통계적 방법으로 해석하였다. 시간 안정도를 분석하여 각 지점의 강우사상에 대한 민감도를 분석하였고 공간 변동성 분석을 통해 유역 내 강우관측소 주변 5개 지점을 대상으로 각 지점의 평균토양수분과 이의 표준편차 및 변동계수와의 관계를 파악하였다. 연구 결과, 대상지역에서 토양수분의 공간적인 분포는 대수정규분포가 적합하다는 것과 건조지역에서 보이는 공통된 특징인 높은 공간적 변동성을 확인할 수 있었다. 또한 시간 안정도 분석을 통해 지점별로 시간과 강우 발생에 대해 민감한 정도를 분석하였으며, 강우사상이 토양수분에 큰 영향을 주는 인자인 것을 확인할 수 있었다. 본 연구에서 도출된 토양수분의 시공간적 변동 특성은 차후 인공위성 토양수분 데이터의 retrieval algorithm을 개선하는데 도움이 될 것이다.

• 동의신경정신과학회지
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• 제20권3호
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• pp.133-147
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• 2009

Objectives : This study has the object to evaluate the effect of meditation at the clinical field and to classify the profer meditation by the emotional states of patients. Methods : Thirty volunteers have been recruited using local advertisement. They devided into two groups(patient group, normal group). Emotional states and stressors (STAI, STAXI, BDI, SCL-90-R, Stress Response inventory, Life event stress) have been evaluated. After that test HRV(Heart Rate Variability) has been tested and subjects took a 5-minute rest. After that, one of meditation has been chosed and has been demonstrated for 10 minutes by practiced trainer(Autogenic Training, Fruit Imaginary Meditation, Random assignment). After 5 minutes resting time, HRV has been measured again with meditation that had been administered. Results : 1. The higher the scale of emotional index, the more sensitively react has been occured according to the meditation. 2. The rate of HRV index that means stable state is higher in Fruit Imaginary Meditation group who thought to be administered meditation well. 3. The Fruit Imaginary Meditation is more effective immediately than Autogenic Training assessed by HRV scale and VAS scale of well-administered meditation especially in patients group. 4. Subjects of Highly suffered emotional problem have more effect in Fruit Imaginary Meditation Group compared to Autogenic Training Group. Conclusions : Suitable beginner meditation course considered patient's emotional problem needs to be programmed.