• 한국음향학회지
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• 제31권1호
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• pp.51-61
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• 2012

본 연구에서는 등각, 등간격 및 측지선 돔 (geodesic dome)형태로 배열된 곡면 배열 트랜스듀서에 대해서, 음원 간격, 음원 개수 등과 같은 배열 구조 변수들에 따른 방사패턴의 변화 경향성을 분석하였다. 또한 그 결과를 바탕으로 통계적 기법인 다중 회귀 분석을 이용하여 부엽의 크기 및 빔 폭을 설계 변수들의 함수로 도출하였다. 나아가 최적화 기법인 GA (genetic algorithm)법을 이용하여 각 방향에 대한 빔폭이 주어진 조건을 만족하며 가장 작은 부엽의 크기를 가지도록 설계 변수들의 최적화를 수행하였다. 최적화 결과를 바탕으로 세 가지 곡면 배열 구조 가운데 곡면 배열 트랜스듀서의 최적 배열 구조로 등간격 배열구조를 선정하였다.

• 한국정밀공학회지
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• 제31권9호
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• pp.777-782
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• 2014

Usually, railway axles are designed for infinite life based on endurance limit of the material and the axle is not fractured immediately when a surface crack initiated. The railway axles have been inspected regularly by NDT such as ultrasonic testing, magnetic testing and eddy current testing and so on. Because the axle failure is profoundly influenced by the probability of missing a fatigue crack during an NDT inspection, it is necessary to evaluate the Non Destructive Interval of railway axle. In the present paper, the Non Destructive Interval of railway axle based on fracture mechanics and finite element analysis was investigated. It was shown that the Non Destructive Interval of railway axle can be evaluated using fracture mechanics approach and extended using NDT which a crack can detect clearly.

• 센서학회지
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• 제20권6호
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• pp.382-387
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• 2011

Whether a person is feeling sleepy or reasonably awake is important safety information in many areas, such as humans operating in traffic or in heavy industry. The changes of body signals have been mostly researched by looking at electroencephalogram(EEG) signals but more and more other medical signals are being examined. In our study, an electrocardiogram(ECG) signal is measured at a sampling rate of 100 Hz and used to try to distinguish the possible differences in signal between the two states: awake and drowsy. Practical tests are conducted using a wireless sensor node connected to a wearable ECG sensor, and an ECG signal is transmitted wirelessly to a base station connected to a server PC. Through the QRS complex in the ECG analysis it is possible to obtain much information that is helpful for diagnosing different types of cardiovascular disease. A program is made with MATLAB for digital signal filtering and graphing as well as recognizing the parts of the QRS complex within the signal. Drowsiness detection is performed by evaluating the R peaks, R-R interval, interval between R and S peaks and the duration of the QRS complex..

• 센서학회지
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• 제22권5호
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• pp.338-345
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• 2013

Premature ventricular contractions are the most common of all arrhythmias and may cause more serious situation like ventricular fibrillation and ventricular tachycardia in some patients. Therefore, the detection of this arrhythmia becomes crucial in the early diagnosis and the prevention of possible life threatening cardiac diseases. Most methods for detecting arrhythmia require pp interval, or the diversity of P wave morphology, but they are difficult to detect the p wave signal because of various noise types. Thus, it is necessary to use noise-free R wave. So, the new approach for the detection of PVC is presented based on the rhythm analysis and the beat matching in this paper. For this purpose, we removed baseline wandering of low frequency band and made summed signals that are composed of two high frequency bands including the frequency component of QRS complex using the wavelet filter. And then we designed R wave detection algorithm using the adaptive threshold and window through RR interval. Also, we developed algorithm to classify PVC using RR interval. The performance of R wave and PVC detection is evaluated by using MIT-BIH arrhythmia database. The achieved scores indicate average detection rate of 99.76%, sensitivity of 99.30% and specificity of 98.66%; accuracy respectively for R wave and PVC detection.

• 대한원격탐사학회지
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• 제24권1호
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• pp.17-24
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• 2008

Rainfall data from three different types of rain gauge system have been collected for the summertime rain event at Mokpo in the Korean peninsula. The rain gauge system considered in this paper is composed of three tipping-bucket rain gauges with 0.1, 0.2, and 0.5 mm measuring resolutions, the Optical Rain Gauge (ORG), and the PARSIVEL (PARticle SIze and VELocity). The PARSIVEL rainfall rate has been considered as the reference for comparison since it gave good resolution and performance on this event. Comparison with the PARSIVEL rainfall rate gives the results that the error and temporal variation of rainfall rate are simultaneously reduced with increasing the averaging interval of rainfall rate or decreasing the size of tipping bucket. This suggests that the estimated rainfall rate must be optimized, differently for the type of tipping-bucket rain gages, by minimizing the averaging interval of rainfall rate under the condition satisfying the given performance of rainfall rate.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1999년도 추계학술발표회요약집
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• pp.89.2-89
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• 1999

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1998년도 추계학술발표회요약집
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• pp.167-167
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• 1998

• Structural Engineering and Mechanics
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• 제33권4호
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• pp.539-542
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• 2009

• 재활치료과학
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• 제9권4호
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• pp.107-120
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• 2020

목적 : 척수손상환자를 대상으로 한 무작위 대조군 연구의 체계적 고찰과 메타분석을 통해 척수손상환자의 재활 중재의 효과성과 근거를 알아보고자 한다. 연구방법 : 국외 논문데이터베이스에서 검색어를 사용하여 학술지에 게재된 연구를 2명의 연구자가 독립적으로 검색하여 선정하였다. 선정기준에 부합한 연구는 총 21편이었고, PEDro Scale을 사용하여 연구의 질적 평가를 실시하였다. 메타분석은 Comprehensive Meta-Analysis 3.0 프로그램을 사용하였다. 결과 : 분석된 연구에 참여한 연구대상자는 총 713명이었고, 메타분석을 실시한 결과 신체활동을 이용한 중재는 0.406(95.0% 신뢰구간: 0.221~0.591), 전기 자극 치료중재는 0.505(95.0% 신뢰구간: 0.449~1.528)로 중간크기(Medium)의 효과를 보이는 것으로 나타났고 교육적 방법 중재는 0.248(95.0% 신뢰구간: 0.033~0.464), 복합 중재는 0.280(95.0% 신뢰구간: 0.122~0.438)로 작은 크기(Small)의 효과를 보이는 것으로 나타났다. 통계적 이질성 검정에서 유의미한 이질성이 있어 연구결과 통합 시 랜덤효과 모형을 선택하여 분석하였고, 출판편견은 유의미하지 않아 신뢰할만한 연구결과였다. 결론 : 분석된 결과 척수손상환자를 대상으로한 재활 중재는 효과적임을 알 수 있었다. 척수손상환자를 대상으로한 재활분야에서 임상가들이 대상자의 라이프 스타일을 개선하기 위한 프로그램을 구성할 때 기여할 것으로 사료된다.

• Journal of the Korean Data and Information Science Society
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• 제15권3호
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• pp.515-521
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• 2004

Categorical data are mostly found in oriental medical research. The nonlinear canonical correlation analysis does not assume an interval level of measurement. In this paper, we apply nonlinear canonical correlation analysis to quantification and explain how similar sets of variables are to one another for paralysis disease data.