• 음성과학
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• 제5권1호
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• pp.81-88
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• 1999

This paper provides a method for speech detection. After first order FIR filtering on the speech signals, we applied the conventional method of endpoint detection which utilizes the energy as the criterion in separating signals from background noise. By FIR filtering, only the Fourier components with large values of [amplitude x frequency] become significant in energy profile. By applying this procedure to the 445-words database constructed from ETRI, we confirmed that the low-amplitude noise and/or the low-frequency noise are separated clearly from the speech signals, thereby enhancing the feasibility of ideal endpoint detections.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2011년도 춘계학술대회
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• pp.187-188
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• 2011

Independent component analysis (ICA) is a method separating the mixture of signals into statistically and mutually independent ones. It has been applied to not only the Cocktail-party problem but also EEG analysis using the EEG waveform, digital signal processing, image processing and cognitive technique field actively. This study aims to propose a procedure to estimate the modal responses and mode shapes of a floating structure by using the ICA method from measured responses of the floating structure.

• 동의생리병리학회지
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• 제23권1호
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• pp.97-103
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• 2009

The status and the property of a tongue are the important indicators to diagnose one's health like physiological and clinicopathological changes of inner organs. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, classifying tongue coating is inevitable but difficult since the features like color and texture of the tongue coatings and substance have little difference, especially in the neighborhood on the tongue surface. The proposed method has two procedures; the first is to acquire the color table to classify tongue coatings and substance by automatically separating coating regions marked by oriental medical doctors, decomposing the color components of the region into hue, saturation and brightness and obtaining the 2nd order discriminant with statistical data of hue and saturation corresponding to each kind of tongue coatings, and the other is to apply the tongue region in an input image to the color table, resulting in separating the regions of tongue coatings and classifying them automatically. As a result, kinds of tongue coatings and substance were segmented from a face image corresponding to regions marked by oriental medical doctors and the color table for classification took hue and saturation values as inputs and produced the classification of the values into white coating, yellow coating and substance in a digital tongue diagnosis system. The coating regions classified by the proposed method were almost the same to the marked regions. The exactness of classification was 83%, which is the degree of correspondence between what Oriental medical doctors diagnosed and what the proposed method classified. Since the classified regions provide effective information, the proposed method can be used to make an objective and standardized diagnosis and applied to an ubiquitous healthcare system. Therefore, the method will be able to be widely used in Oriental medicine.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권8호
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• pp.475-481
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• 2005

In the existing ICT technique, the mounted electronic devices on the printed circuit board are tested whether the devices are good or not by comparing and measuring the value of the devices after separating the devices to be tested from around it based on the guarding method. But, in case that resistance, inductor and capacitor are configured as a parallel circuit on the circuit pattern, values for each device can not be measured because the total impedance value of the parallel circuit is measured. Accordingly, it is impossible to test whether the parallel circuit is good or not in case that the measured impedance value is within the tolerance error. Also, it is difficult to identify that which device among R, L and C of the parallel circuit is bad in case that the measured impedance value is out of the tolerance error. Accordingly, this paper proposes a test method which can enhance the quality and productivity by separating and measuring accurately R, L and C components from the RLC parallel circuits on the device-mounted printed circuit board. First, the RLC parallel circuit to be test is separated electrically from around it using three-terminal guarding technique. And then R, L and C values are computed based on the total impedance values and phase angles between voltage and current of the parallel circuit measured from two AC input signals with other frequency, Finally, the availability and accuracy of the proposed test method is verified by reviewing the simulation results.

• Biomolecules & Therapeutics
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• 제15권2호
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• pp.123-126
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• 2007

A sensitive, simple and highly selective liquid chromatography method of determination for extraction of pseudoephedrine hydrochloride from Allegra D tablet was developed. The chief benefit of the present method is the minimal sample preparation, as the procedure is only filtering through pore syringe filter. Two drugs (pseudoephedrine hydrochloride, fexofenadine) were separated on a C$_{18}$ column and analyzed by high performance liquid chromatography (HPLC). The method had a chromatographic run time of 8.0 min. 1 ml of pseudoephedrine hydrochloride solution (1 mg/ml) was filtered through 0.22 um pore syringe filter. 50 ul of filtering solution was injected to HPLC pump and we knew the retention time (1.85 min) of separating of pseudoephedrine hydrochloride using UV detector at 280 nm. We used C$_{18}$ column (4.6 mm${\times}$250 mm), mobile phase solution (<0.05 mol/L NaH$_2$PO$_4$, 2 ml/L H$_3$PO$_4$>/CH$_3$CN / sodium dodesyl sulfate = 60 ml / 40 ml / 1 g). We separated psedoephedrine hydrochloride at run time of 1.85 min from Allegra D tablet solution (1 mg/ml) filtered through 0.22 um pore syringe filter using UV detector at 280 nm. Flow rate was set at 1.0 ml/min and the column temperature was set at 40$^{\circ}C$. Psedoephedrine hydrochloride solution (1 mg/ml) separated from Allegra D tablet was filtered through 0.22 um pore syringe filter and injected 50 ul. We confirmed the peak of psedoephedrine hydrochloride at same retention time and the separating solution was freeze-dried. In conclusion, A simple isocratic reverse-phase HPLC method has been developed that provides excellent separation of pseudoephedrine from Allegra D tablet.

• 대한교통학회지
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• 제33권2호
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• pp.204-213
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• 2015

지하철 역사 공간 내 보행교통류의 혼잡 상황은 역사의 이용효율을 저해시킨다. 특히 방향별 동선의 미분리로 인한 보행자간 상충은 보행자의 이동저항을 증가시키며 통행시간과 안전사고에 부정적인 영향을 끼치게 된다. 본 연구에서는 미시적 움직임에 기반한 양방향 보행교통류의 통행 특성을 분석하였으며, 동선 분리로 인한 운영상의 효과를 분석하는 모형을 개발하였다. 이산요소법에 따라 역사 공간을 2차원 grid 구조로 해석하였으며, 각 grid에 존재하는 cell 별로 보행자의 움직임이 이루어진다고 보았다. 그 결과 양방향 보행교통류가 상충하는 상황에서는 동선을 분리시키고, 우측통행을 유도하여 보행자들의 진행 방향을 정돈시키는 경우가 가장 효율이 좋은 것으로 분석되었다. 이에, 동선 분리 시스템을 적용하여 보행편의 및 이동성을 증진시키기 위한 시사점을 제시하고자 한다.

• 자원리싸이클링
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• 제15권6호
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• pp.3-9
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• 2006

본 연구에서는 색도인식이 가능한 버신 비젼시스템을 설계 제작하고, 제작한 시스템을 이용하여 철스크랩에 혼합되어 있는 Cu스크랩을 자동으로 분리하는 시험연구를 행하였다. 머신비젼시스템은 크게 측정부, 이송부 그리고 ejector로 구분되며, CCD카메라, 광원 및 frame grabber로 구성된 측정부에서 이메지 프로쎄싱 알고리즘에 의해 이송되어 오는 스크랩 표면의 색도를 인식하게 된다. 또한 그 인식결과에 따라 I/O interface가 구성된 콘트롤러에 의해 에어노즐을 작동하도록 하여 임의로 지정한 특정 표면색상의 스크랩만을 분리하도록 되어 있다. 본 시스템을 이용하여 철스크랩에 포함된 Cu스크램의 선별실험을 수행한 결과, 스크랩 이송속도가 15 m/min.에서 90%이상의 선별효율을 나타내어, 향후 선별기능의 고속화가 실현될 경우 산업적으로 적용 가능성이 매우 높은 것으로 판단되었다.

• 한국자원리싸이클링학회:학술대회논문집
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• 한국자원리싸이클링학회 2005년도 춘계임시총회 및 제25회 학술발표대회
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• pp.57-61
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• 2005

본 연구에서는 색도인식이 가능한 머신 비젼시스템을 설계 제작하고 제작한 시스템을 이용하여 철스크랩에 혼합되어 있는 Cu 스크랩을 자동으로 분리하는 시험연구를 행하였다. 머신비젼시스템은 크게 측정부, 이송부 및 ejector로 구분되며 CCD카메라, 광원 및 frame grabber로 구성된 측정부에서 이메지 프로쎄싱 알고리즘에 의해 이송되어 오는 스크랩 표면의 색도를 인식하게 된다. 또한 그 인식결과에 따라 I/O interface가 구성된 콘트롤러에 의해 에어노즐을 작동하도록 하여 임의로 지정한 특정한 표면색상의 스크랩만을 분리하도록 되어 있다. 본 시스템을 이용하여 철스크랩에 포함된 Cu스크랩의 분리시험을 행한 결과, 스크랩 이송속도가 15m/min.에서 90% 이상의 분리효율을 나타내어 향후 분리효율의 고속화가 실현될 경우 산업적으로 적용가능성이 매우 높은 것으로 판단되었다.

• 방사선산업학회지
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• 제9권3호
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• pp.153-159
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• 2015

Reliability of printed circuit board (PCB), which is based on high integrated circuit technology, is having been important because of development of electric and self-driving car. In order to answer these demand, automated X-ray inspection (AXI) is best solution for PCB non-destructive test. PCB is consist of plastic, copper, and, lead, which have low to high Z-number materials. By using dual energy X-ray imaging, these materials can be inspected accurately and efficiently. Dual energy X-ray imaging, that have the advantage of separating materials, however, need some solution such as energy separation method and enhancing efficiency because PCB has materials that has wide range of Z-number. In this work, we found out several things by analysis of X-ray energy spectrum. Separating between lead and combination of plastic and copper is only possible with energy range not dose. On the other hand, separating between plastic and copper is only with dose not energy range. Moreover the copper filter of high energy part of dual X-ray imaging and 50 kVp of low energy part of dual X-ray imaging is best for efficiency.

• 정보처리학회논문지B
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• 제9B권5호
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• pp.643-652
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• 2002

본 연구에서는 신경망 기반 독립성분분석의 분리성능을 개선하기 위해 할선법과 모멘트의 조합형 고정점 알고리즘을 제안하였다. 할선법은 독립성분 상호간의 정보를 최소화하는 목적함수의 근을 근사적으로 구함으로써 계산과정을 단순화하여 좀 더 개선된 분리성능을 얻기 위함이고, 모멘트는 계산과정에서 발생하는 발진을 억제하여 보다 빠른 분리속도를 얻기 위함이다. 이렇게 하면 할선법이 가지는 근사성에 따른 우수성과 과거의 속성을 반영하여 발진을 억제하는 모멘트의 우수성을 동시에 살릴 수 있다. 제안된 알고리즘을 $256\times{256}$ 픽셀의 8개 지문과 $512\times{512}$ 픽셀의 10개 영상으로부터 임의의 혼합행렬에 따라 생성된 복합지문과 복합영상을 각각 대상으로 시뮬레이션 한 결과, 뉴우턴법에 기초한 기존의 알고리즘과 할선법만에 기초한 알고리즘보다 각각 우수한 분리률과 빠른 분리속도가 있음을 확인하였다. 또한 할선법의 이용은 뉴우턴법을 이용한 고정점 알고리즘보다 초기값에도 덜 의존하며, 문제의 규모가 커짐에 따른 비현실적인 분리시간도 해결할 수 있음을 확인하였다.