• 한국식품영양과학회지
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• 제31권5호
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• pp.723-727
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• 2002

감마선 조사에 의 한 마늘의 주요 알러젠 단백질인 allivin의 구조적 변화를 관찰하였다. Allivin 용액 (3.0 mg/mL in 0.01 M PBS, UH 7.4)과 생 마늘에 2.5, 5.0, 7.5, 10.0 kGy의 흡수선량을 갖도록 감마선을 조사하였다. 조사 후 용액의 절반을 0.22$\mu\textrm{m}$ filter로 여과하여 준비하였다. 감마선 조사에 의한 allivin의 변화는 UV spectrum과 SDS-PAGE를 사용하여 관찰하였다. 가시적으로 관찰하였을 때, 조사선량이 증가할수록 allivin 용액의 혼탁도가 증가하였으며 ,660 nm 파장에서의 흡광도의 증가로 확인할 수 있었다. 조사 후 여과한 allivin 용액의 UV spectrum 측정에서 혼탁도의 변화가 크게 감소되었으며, 선량이 증가할수록 용해된 단백질의 농도가 소하였다. SDS-PAGE시험에서 감마선 조사된 allivin의 큰 변화는 관찰되지 않았으나, 분자간 응집이 관찰되었다 그러나, 조사 후 여과한 시료에서 는 allivin의 감소가 관찰되었으며, 분자간 응집으로 발생된 끌림도 감소하였다. 생마늘에 대한 전기영동 결과는 차이가 없었다. 이 결과들은 감마선 조사가 수용액 상태에서 allivin의 알러지성을 감소시킬 수 있음을 시사한다.

• 전자공학회논문지
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• 제50권8호
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• pp.238-244
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• 2013

에너지 분산형 X-선 형광(EDXRF) 분석에서 X-선 스펙트럼에 존재하는 컨티넘(continuum)의 추정 및 제거는 필수적이다. 이를 위해 일반적으로 사용되는 알고리즘들은 많은 주의가 필요하며 복잡하다. 보통 이 알고리즘들은 제약적이거나 컨티넘의 데이터나 모양에 대한 가설을 필요로 한다. 본 논문에서는 제안된 에너지 분산형 X-선 형광 스펙트럼을 위한 효율적인 배경(background) 보정 방법은 배경 모델링과 배경 보정으로 구성된다. 이 방법은 스펙트럼에서 백그라운드영역과 피크영역을 구분하는 기본 개념을 기반으로 하며 성능향상을 위하여 SNIP알고리즘을 사용한다. 스펙트럼으로부터 배경에 속하는 점들을 획득한 후 이를 기반으로 곡선 근사화를 통해 배경을 모델링한다. 이후 획득된 배경 모델을 원 스펙트럼에서 뺌으로써 배경이 보정된 스펙트럼을 얻는다. 제안된 방법은 상대적으로 적은 사전 지식을 요구하면서 기존의 몇몇 방법들에 비해 우수한 결과를 보여주었다.

• Near Infrared Analysis
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• 제1권1호
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• pp.31-35
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• 2000

Near-infrared reflectance spectroscopy(NIRS) was used to determine the humic acids in soil samples from the fields of different crops and land-use over Youngnam and Honam regions in Korea. An InfraAlyzer 500 scanning spectrophotometer was obtained near infrared relectance spectra of soil at 2-nm intervals from 1100 to 2500nm. Multiple linear regression(MLR) or partial least square regression (PLSR) was used to evaluate a NIRS method for the rapid and nondestructive determination of humic acid, fulvic acid and its total contents in soils. The raw spectral data(log 1/R) can be used for estimating humic acid, fulvic acid and its total contents in soil by MLR procedure between the content of a given constituent and the spectral response of several bands. In which the predicted results for fulvic acid is the best in the constituents. The new spectral data are converted from the raw spectra by PLSR method such as the first derivative of each spectrum can also be used to predict humic acid and fulvic acid of the soil samples. A low SEC, SEP and a high coefficient of correlation in the calibration and validation stages enable selection of the best manipulation. But a simple calibration and prediction method for determining humic acid and fulvic acid should be selected under similar accuracy and precision of prediction. NIRS technique may be an effective method for rapid and nondestructive determination for humic acid, fulvic acid and its total contents in soils.

• 한국방사선학회논문지
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• 제2권2호
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• pp.5-10
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• 2008

최근의 진단의료용 방사선영상은 대부분 디지털영상으로 변환되었으나, 영상획득을 위한 조사조건 등 영상화질에 영향을 미치는 요소들에 관련하여서는 여전히 대부분 필름-스크린 시스템의 기준을 그대로 따르고 있으며, 실정이다. 뿐만 아니라 획득된 디지털영상에 대한 객관적인 화질평가 또한 임상에서 적용되고 있지 않은 실정이다. 본 연구에서는 디지털영상의 화질을 평가함에 있어 기본이 되는 요소인 화질의 균일성, NPS(noise power spectrum), MTF(modulation transfer function), NEQ(noise equivalent quanta) 등에 대한 평가를 임상에서 활용할 수 있도록 사용자 친화적인 윈도우 환경의 디지털영상화질 평가 프로그램을 MatLab을 이용하여 개발하였다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1989년도 춘계학술대회
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• pp.29-34
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• 1989

300 MHz proton NMR spectra of human blood plasma were analyzed by deconvolution of spectrum, and we compared its results with Fossel's test in normal (15 cases), liver cancer (14 cases) , and other cancer (14 cases) groups. This analysis had enabled us to obtain dynamic characteristics of each individual lipoprotein. As a result of deconvolution method, the VLDL and chylomicron intensity level were found to be elevated in the patients with liver cancer. Moment ratio values of $CH_2$ resonance in the raw spectrum were found to be higher than the normal group for patients with, malignant tumors other than liver cancer. These differences between the three groups could not be found in the conventional Fossel's test. We could simulate plasma spectra by addition of spectra of individual lipoproteins through deconvolution method. Further clinical trials in larger populations and additional biochemical method may shed new light on many of clinical and biochemical interests for knowing characteristics about lipoprotein not separated from blood and the background of Fossel test.

• 공업화학
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• 제22권5호
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• pp.495-500
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• 2011

나프타 분해 공정에서 필수적으로 발생되는 분해연료유(PFO, pyrolyzed fuel oil)에서 나프탈렌을 재결정해내고 남는 PFO 잔유물을 이용하여 $300{\sim}800^{\circ}C$에서 질소 조건에서 탄소구조체를 합성하여 보았다. PFO를 헥산이나 메탄올로 처리 후 얻은 탄소물질 프리커서를 열처리하면 $350^{\circ}C$에서는 수 십 ${\mu}m$ 크기의 flake 상의 탄소체가 만들어졌으나, $400^{\circ}C$ 이상에서는 수 ${\mu}m$로 크기가 줄며 공 모양의 탄소구조체로 변형되었다. BET와 XRD 스펙트럼에 따르면 공모양으로 합성된 메조상 탄소체는 큐빅상으로 미세 기공인 mesopore가 아직 잘 발달되지 많은 부정형 탄소임을 알려주고있다.

• Journal of Biosystems Engineering
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• 제42권4호
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• pp.301-313
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• 2017

Purpose: This study was conducted to discriminate between normal hulled barley and Fusarium (Fusarium asiaticum and Fusarium graminearum) infected hulled barley by using the near-infrared spectroscopy (NIRS) technique. Methods: Fusarium asiaticum and Fusarium graminearum were artificially inoculated in hulled barley and the reflectance spectrum of the barley spike was obtained by using a near-infrared spectral sensor with wavelength band in the range 1,175-2,170 nm. After obtaining the spectrum of the specimen, the hulled barley was cultivated in a greenhouse and visually inspected for infections. Results: From a partial least squares discriminant analysis (PLS-DA) prediction model developed from the raw spectrum data of the hulled barley, the discrimination accuracy for the normal and infected hulled barley was 99.82% (563/564) and 100% (672/672), respectively. Conclusions: NIRS is effective as a quick and nondestructive method to detect whether hulled barley has been infected with Fusarium. Further, it expected that NIRS will be able to detect Fusarium infections in other grains as well.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권1호
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• pp.55-64
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• 2004

Conventional bipolar surface electromyography(EMG) technique detects only the superimposed electromyographic activity of a large number of motor units due to its low spatial resolution. For the diagnosis of neuromuscular disorder, the information of single MU is required. In this paper, 9 channel array surface electrode system was as designed and MLoG filter was proposed. Also the MCPT(modified convolution processing technique)method was proposed for the improvement of MUAP resolution. For performance evaluation, power spectrum analysis of random data and raw EMG signal comparison of MUAP shape and quantitative estimation of SNR were executed. As a result, the MUAP resolution improvement of 32％ was obtained from the standpoint of the signal-to-noise ratio(SNR).

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 추계학술대회 논문집
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• pp.635-636
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• 2012

In the present work, investigations by high frequency resonance technique for diagnosis of defect frequencies of linear motion unit are reported. Raw vibration signature of the moving parts at different speeds of operation has been demodulated. Envelope detected spectrum is analyzed to evaluate various defect frequencies and their energy levels. Experimentally evaluated frequencies are compared with theoretically determined defect frequencies. These frequency values and their energy levels are used to monitor intrinsic condition of linear motion unit as well as to establish severity of existing/developed defects on the LM guide and inside the LM block. Relative comparisons of linear motion units of the same type are made at various operating speeds under identical conditions of operation on the basis of identified defect frequencies and severity of defects.

• 로봇학회논문지
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• 제7권1호
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• pp.45-56
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• 2012

This paper proposes how to improve the performance of CSS-based indoor localization system. CSS based localization utilizes signal flight time between anchors and tag to estimate distance. From the distances, the 3-dimensional position is calculated through trilateration. However the error in distance caused from multi-path effect transfers to the position error especially in indoor environment. This paper handles a problem of reducing error in raw distance information. And, we propose the new localization method by pattern matching instead of the conventional localization method based on trilateration that is affected heavily on multi-path error. The pattern matching method estimates the position by using the fact that the measured data of near positions possesses a high similarity. In order to gain better performance of localization, we use EKF(Extended Kalman Filter) to fuse the result of CSS based localization and robot model.