• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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• pp.239.1-239.1
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• 2003

This study was to develop a quantification method of lisinopril using liquid chromatography tendem mass spectrometry in human plasma. Quntitation of lisinopril by MRM(multiple reaction monitoring) in the electrospray positive mode was validated according to FDA guideline. Extraction of lisinopril and enalapril as internal standard from plasma was perfomed by means solide phase extraction. The calibration curve of lisinopril showed a good linerarity in the concentration range 2∼200ng/ml. The coefficients of variations for the inter-day and intra-day precision was less than 15%, and the inter-day and intra-day accuracy was 97.6∼101.0%. (omitted)

• 전자공학회논문지SC
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• 제40권3호
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• pp.135-144
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• 2003

본 논문에서는 고속 혼성모드 집적회로를 위한 온-칩(on-chip) CMOS 전류 및 전압 레퍼런스 회로를 제안한다. 제안하는 전류 레퍼런스 회로는 기존의 전류 레퍼런스 회로에서 부정확한 전류 값을 조정하기 위해 주로 사용되는 아날로그 보정 기법과는 달리 디지털 영역에서의 보정 기법을 사용한다. 또한, 제안하는 전압 레퍼런스 회로는 고속으로 동작하는 혼성모드 집적회로의 출력단에서 발생할 수 있는 고주파수의 잡음 성분을 최소한으로 줄이기 위해 고주파 신호 성분에 대해 작은 출력 저항을 볼 수 있는 구조의 레퍼런스 전압 구동회로를 사용한다. 이 레퍼런스 전압 구동회로는 전력 소모 및 칩 면적을 최소화하기 위해서 저 전력의 증폭기와 크기가 작은 온-칩 캐패시터를 사용하여 구현하였다. 제안하는 레퍼런스 회로는 0.18 um n-well CMOS 공정으로 설계 및 제작되었으며, 250 um x 200 um의 면적을 차지한다. 칩 제작 및 측정결과, 제안하는 전류 및 전압 레퍼런스 회로는 공급 전압 및 온도의 변화에 대해서 각각 2.59 %/V와 48 ppm/℃의 변화율을 보인다.

• 대한의용생체공학회:의공학회지
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• 제19권5호
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• pp.487-495
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• 1998

본 논문에서는 회로가 간단하고 체내에 삽입되는 부분이 영구자석만.:-로 이루어져있는 새로운 방식의 이식형 인공중이를 제안하였다. 트랜스듀서의 갭 조정이 필요없어 수술이 간편해지며, 코일을 외부로 보이지 않게 옷 내부에 둘 수 있어서 미용적인 측면에서도 우수하다. 제안된 이식형 인공중이의 성능을 측정하고 난청자의 청각 역치에 맞는 시스템을 설계하기 위하여 트랜스듀서를 통해 내이로 전달되는 힘을 정량적으로 해 석하였으며, 진동특성 실험을 통해서 이 해석의 타당성을 증명하였다. 또한 사람의 측두골을 이용하여 직접 침골(incus)의 진동변위를 측정하였다. 이 실험으로 제안된 시스템이 실제로 사람의 몸에 설치되었을 때 이소골(ossicles)을 충분히 진동시킬 수 있음을 증명하였다.

• 한국생산제조학회지
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• 제9권3호
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• pp.83-89
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• 2000

In hydraulic control system turbine and gear motor type flowmeters are widely used to measure the flow rate under steady flow conditions. With the recent growth of interest in the measurement of instantaneous values of unsteady flow rate the test of the transient response of these flowmeters are in some significance. however an unsteady flow rate mea-surment and its calibration method with a fast response and a high accuracy have not beendeveloped. In this research particularly the dynamic characteristics of turbine and gear motor type flowmeters are investigated experimentally and simple mathematical models are proposed. The measured flow rate waveforms are compared with those by remote instan-taneous flow rate measurement method(RIFM) which has been developed by author and used for calibration As the result of frequency response test gain and phase between the measured flow rate waveforms by turbine type flowmeter and those estimated by RIFM are in good agreement up to 70Hz For the gear motor type flowmeter th simulated results by a math-ematical model proposed here agree well with the experiment nearly up to 100Hz. Also it if sound that the pressure drop across the flowmeter is increased in proportion to the frequency of the flow rate variation in a high frequency region of more than 100Hz. It can be explained that the dealy of gear motor type flowmeter in high frequency regionis mainly attributed to a first order delay consisting of the inertia of gears and internal leakage of the gear motor.

• Journal of Crop Science and Biotechnology
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• 제10권3호
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• pp.185-192
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• 2007

Near-infrared spectroscopy(NIRS) was used to develop a rapid and efficient method to determine lignan glucosides in intact seeds of sesame(Sesamum indicum L.) germplasm accessions in Korea. A total of 93 samples(about 2 g of intact seeds) were scanned in the reflectance mode of a scanning monochromator, and the reference values for lignan glucosides contents were measured by high performance liquid chromatography. Calibration equations for sesaminol triglucoside, sesaminol($1{\rightarrow}2$) diglucoside, sesamolinol diglucoside, sesaminol($1{\rightarrow}6$) diglucoside, and total amount of lignan glucosides were developed using modified partial least square regression with internal cross validation(n=63), which exhibited lower SECV(standard errors of cross-validation), higher $R^2$(coefficient of determination in calibration), and higher 1-VR(ratio of unexplained variance divided by variance) values. Prediction of an external validation set(n=30) showed a significant correlation between reference values and NIRS estimated values based on the SEP(standard error of prediction), $r^2$(coefficient of determination in prediction), and the ratio of standard deviation(SD) of reference data to SEP, as factors used to evaluate the accuracy of equations. The models for each glucoside content had relatively higher values of SD/SEP(C) and $r^2$(more than 2.0 and 0.80, respectively), thereby characterizing those equations as having good quantitative information, while those of sesaminol($1{\rightarrow}2$) diglucoside showing a minor quantity had the lowest SD/SEP(C) and $r^2$ values(1.7 and 0.74, respectively), indicating a poor correlation between reference values and NIRS estimated values. The results indicated that NIRS could be used to rapidly determine lignan glucosides content in sesame seeds in the breeding programs for high quality sesame varieties.

• Journal of Crop Science and Biotechnology
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• 제10권1호
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• pp.13-18
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• 2007

Near-infrared spectroscopy(NIRS) was used as a rapid and nondestructive method to determine the fatty acid composition in intact seed samples of rapeseed(Brassica napus L.). A total of 349 samples(about 2 g of intact seeds) were scanned in the reflectance mode of a scanning monochromator, and the reference values for fatty acid composition were measured by gas-liquid chromatography. Calibration equations for individual fatty acids were developed using the regression method of modified partial least-squares with internal cross validation(n=249). The equations had low SECV(standard errors of cross-validation), and high $R^2$(coefficient of determination in calibration) values(>0.8) except for palmitic and eicosenoic acid. Prediction of an external validation set(n=100) showed significant correlation between reference values and NIRS estimated values based on the SEP(standard error of prediction), $r^2$(coefficient of determination in prediction), and the ratio of standard deviation(SD) of reference data to SEP. The models developed in this study had relatively higher values(> 3.0 and 0.9, respectively) of SD/SEP(C) and $r^2$ for oleic, linoleic, and erucic acid, characterizing those equations as having good quantitative information. The results indicated that NIRS could be used to rapidly determine the fatty acid composition in rapeseed seeds in the breeding programs for high quality rapeseed oil.

• Journal of Gastric Cancer
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• 제15권4호
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• pp.262-269
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• 2015

Purpose: Intraabdominal abscess is one of the most common reasons for re-hospitalization after gastrectomy. This study aimed to develop a model for estimating the probability of intraabdominal abscesses that can be used during the postoperative period. Materials and Methods: We retrospectively reviewed the clinicopathological data of 1,564 patients who underwent gastrectomy for gastric cancer between 2010 and 2012. Twenty-six related markers were analyzed, and multivariate logistic regression analysis was used to develop the probability estimation model for intraabdominal abscess. Internal validation using a bootstrap approach was employed to correct for bias, and the model was then validated using an independent dataset comprising of patients who underwent gastrectomy between January 2008 and March 2010. Discrimination and calibration abilities were checked in both datasets. Results: The incidence of intraabdominal abscess in the development set was 7.80% (122/1,564). The surgical approach, operating time, pathologic N classification, body temperature, white blood cell count, C-reactive protein level, glucose level, and change in the hemoglobin level were significant predictors of intraabdominal abscess in the multivariate analysis. The probability estimation model that was developed on the basis of these results showed good discrimination and calibration abilities (concordance index=0.828, Hosmer-Lemeshow chi-statistic P=0.274). Finally, we combined both datasets to produce a nomogram that estimates the probability of intraabdominal abscess. Conclusions: This nomogram can be useful for identifying patients at a high risk of intraabdominal abscess. Patients at a high risk may benefit from further evaluation or treatment before discharge.

• 한국전자통신학회논문지
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• 제16권6호
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• pp.1311-1316
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• 2021

본 논문에서는 이중시점 스테레오 이미지와 그에 상응하는 깊이맵을 생성하기 위해 서로 다른 초점거리를 가지고 있는 두 카메라를 결합한 이중시점 스테레오 카메라 시스템을 제안한다. 제안한 이중초점 스테레오 카메라 시스템을 이용해 깊이맵을 생성하기 위해서는 먼저 서로 다른 초점을 가진 두 카메라에 대한 카메라 정보를 추출하기 위한 카메라 보정(Camera Calibration)을 수행한다. 카메라 파라미터를 이용해 깊이맵 생성을 위한 공통 이미지 평면을 생성하고 스테레오 이미지 정렬화(Image Rectification)를 수행한다. 마지막으로 정렬화된 스테레오 이미지를 이용하여 깊이맵을 생성하였다. 본 논문에서는 깊이맵을 생성하기 위해서 SGM(Semi-global Matching) 알고리즘을 사용하였다. 제안한 이중초점 스테레오 카메라 시스템은 서로 다른 초점 카메라들이 수행해야 하는 기능을 수행함과 동시에 두 카메라를 이용한 스테레오 정합(Stereo Matching)을 통해서 현재 주행 중인 환경에서의 차량, 보행자, 장애물과의 거리 정보까지 생성할 수 있어서 보다 안전한 자율주행 차량 설계를 가능하게 하였다.

• 한국대기환경학회지
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• 제32권3호
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• pp.320-328
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• 2016

Among biogenic volatile organic compounds (BVOCs) in the natural ecosystem, monoterpenes, along with isoprene, play important roles in atmospheric chemistry and make significant impacts on air pollution and climate change, especially due to their contribution to secondary organic aerosol production and photochemical ozone formation. It is essential to measure monoterpene concentrations accurately for understanding their oxidation processes, emission processes and estimation, and interactions between biosphere and atmosphere. Thus, traceable calibration standards are crucial for the accurate measurement of monoterpenes at ambient levels. However, there are limited information about developing calibrations standards for monoterpenes in pressured cylinders. This study describes about developing primary standard gas mixtures (PSMs) for monoterpenes at about 2 nmol/mol, near ambient levels. The micro-gravimetric method was applied to prepare monoterpene (${\alpha}$-pinene, 3-carene, R-(+)-limonene, 1,8-cineole) PSMs at $10{\mu}mol/mol$ and then the PSMs were further diluted to 2 nmol/mol level. To select an optimal cylinder for the development of monoterpene PSMs, three different kinds of cylinders were used for the preparation and were evaluated for uncertainty sources including long-term stability. Results showed that aluminum cylinders with a special internal surface treatment (Experis) had little adsorption loss on the cylinder internal surface and good long-term stability compared to two other cylinder types with no treatment and a special treatment (Aculife). Results from uncertainty estimation suggested that monoterpene PSMs can be prepared in pressured cylinders with a special treatment (Experis) at 2 nmol/mol level with an uncertainty of less than 4%.

• Asian Pacific Journal of Cancer Prevention
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• 제15권16호
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• pp.6811-6817
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• 2014

Background: Breast cancer risk prediction models are widely used in clinical practice. They should be useful in identifying high risk women for screening in limited-resource countries. However, previous models showed poor performance in derived and validated settings. Therefore, we aimed to develop and validate a breast cancer risk prediction model for Thai women. Materials and Methods: This cross-sectional study consisted of derived and validation phases. Data collected at Ramathibodi and other two hospitals were used for deriving and externally validating models, respectively. Multiple logistic regression was applied to construct the model. Calibration and discrimination performances were assessed using the observed/expected ratio and concordance statistic (C-statistic), respectively. A bootstrap with 200 repetitions was applied for internal validation. Results: Age, menopausal status, body mass index, and use of oral contraceptives were significantly associated with breast cancer and were included in the model. Observed/expected ratio and C-statistic were 1.00 (95% CI: 0.82, 1.21) and 0.651 (95% CI: 0.595, 0.707), respectively. Internal validation showed good performance with a bias of 0.010 (95% CI: 0.002, 0.018) and C-statistic of 0.646(95% CI: 0.642, 0.650). The observed/expected ratio and C-statistic from external validation were 0.97 (95% CI: 0.68, 1.35) and 0.609 (95% CI: 0.511, 0.706), respectively. Risk scores were created and was stratified as low (0-0.86), low-intermediate (0.87-1.14), intermediate-high (1.15-1.52), and high-risk (1.53-3.40) groups. Conclusions: A Thai breast cancer risk prediction model was created with good calibration and fair discrimination performance. Risk stratification should aid to prioritize high risk women to receive an organized breast cancer screening program in Thailand and other limited-resource countries.