• Title/Summary/Keyword: Simple standard deviation

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A Simple Spectrofluorimetric Method for Determination of Mefenamic Acid in Pharmaceutical Preparation and Urine

  • Tabrizi, Ahad Bavili
    • Bulletin of the Korean Chemical Society
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    • v.27 no.8
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    • pp.1199-1202
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    • 2006
  • A simple, sensitive and rapid spectrofluorimetric method was developed for determination of mefenamic acid in pharmaceutical preparation and human urine. The procedure is based on the oxidation of mefenamic acid with cerium (IV) to produce cerium (III), and its fluorescence was monitored at 354 nm after excitation at 255 nm. The variables affecting oxidation of drug were studied and optimized. Under the experimental conditions used, the calibration graphs were linear over the range 0.03-1.5 mg $L^{-1}$. The limit of detection was 0.009 mg $L^{-1}$ and the relative standard deviation for 5 replicate determinations of mefenamic acid at 1.0 mg $L^{-1}$ concentration level was 1.72%. Good recoveries in the range of 102-107 and 102-109% were obtained for pharmaceutical preparation and human urine, respectively. The proposed method was applied to the determination of MF in one pharmaceutical preparation and human urine. The amounts of mefenamic acid found are very similar to those obtained by a standard method.

A simple nonlinear model for estimating obturator foramen area in young bovines

  • Pares-Casanova, Pere M.
    • Korean Journal of Veterinary Research
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    • v.53 no.2
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    • pp.73-76
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    • 2013
  • The aim of this study was to produce a simple and inexpensive technique for estimating the obturator foramen area (OFA) from young calves based on the hypothesis that OFA can be extrapolated from simple linear measurements. Three linear measurements - dorsoventral height, craneocaudal width and total perimeter of obturator foramen - were obtained from 55 bovine hemicoxae. Different algorithms for determining OFA were then produced with a regression analysis (curve fitting) and statistical analysis software. The most simple equation was OFA ($mm^2$) = [3,150.538 + ($36.111^*CW$)] - [147,856.033/DH] (where CW = craneocaudal width and DH = dorsoventral height, both in mm), representing a good nonlinear model with a standard deviation of error for the estimate of 232.44 and a coefficient of multiple determination of 0.846. This formula may be helpful as a repeatable and easily performed estimation of the obturator foramen area in young bovines. The area of the obturator foramen magnum can thus be estimated using this regression formula.

Simultaneous Determination of (-)-Menthone and (-)-Menthol in Menthae Herba by Gas Chromatography and Principal Component Analysis

  • Kim, Jung-Hoon;Seo, Chang-Seob;Shin, Hyeun-Kyoo
    • Natural Product Sciences
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    • v.16 no.3
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    • pp.180-184
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    • 2010
  • The simple and accurate method was established for the simultaneous determination of (-)-menthone and (-)-menthol in Menthae herba obtained from Korea and China. A quantitative analysis was performed with a gas chromatography-flame ionization detector and reference compounds were separated on a capillary HP-Innowax column (30 m $\times$ 0.23 mm, 0.50 ${\mu}m$, Agilent, MA, USA). The correlation coefficients of the compounds showed good linearity ($r^2$ > 0.9997) over the linear range. The precision, repeatability and stability showed less than 1.7% of relative standard deviation (RSD) values for two compounds. Recovery rates were within the range of 95.72 - 103.76%. The method was applied successfully to analyze 15 samples of Menthae herba and achieved sufficient and specific separation of reference compounds. The principal component analysis (PCA) exhibited the classification of 15 samples according to their locations of origin.

Optimal Selection of Wavelet Coefficients for Electrocardiograph Compression

  • Del Mar Elena, Maria;Quero, Jose Manuel;Borrego, Inmaculada
    • ETRI Journal
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    • v.29 no.4
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    • pp.530-532
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    • 2007
  • This paper presents a simple method to implement a complete on-line portable wireless holter including an electrocardiogram (ECG) monitoring, processing, and communication protocol. The proposed algorithm significantly reduces the hardware resources of threshold estimation for ECG compression, using the standard deviation updated with each new input signal sample. The new method achieves superior performance in terms of hardware complexity, channel occupation and memory requirements, while keeping the ECG quality at a clinically acceptable level.

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압축 착화 기관의 연소 변동 특성에 관한 연구

  • 이창식
    • Journal of the korean Society of Automotive Engineers
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    • v.9 no.1
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    • pp.69-76
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    • 1987
  • This paper deals with the theoretical prediction and cyclic variation of combustion characteristics in a four stroke, single0cylinder, diesel engine. Theoretical calculations employed a simple empirical model of analysis of energy equation for the thermodynamic system of engine cylinder. The cyclic variation of combustion characteristics is investigated, in term of frequency distribution and standard deviation of peak characteristics, as obtained by combustion analyzer system. The results of theoretical prediction are shown to be in close agreement with the experimental data. The effect of fuel injection timing, engine speed, cooling water temperature, and the compression ratio on the cyclic variations of combustion characteristics were discussed.

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Development of Color Inspection System of Printed Texture using Scanner (스캐너를 이용한 직물의 색상검사기 개발)

  • 조지승;정병묵;박무진
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.8
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    • pp.70-75
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    • 2003
  • It is very important to inspect the color of printed texture in the textile process. The standard colorimetric system used for the recognition of the color in the textile industry. It uses XYZ color system defined by CIE (Commission Internationale de 1Eclairage), but is too expensive. Therefore, in this paper, we propose a color inspection system of the printed texture using a color scanner. Because the scanner uses RGB value for color, it is necessary the mapping from RGB to XYZ. However, the mapping is not simple, and the scanner has even positional deviation because of the geometric characteristics. To transform from RGB to XYZ, we used a NN (neural network) model and also compensated the positional deviation. In real experiments, we could get fairly exact XYZ value from the proposed color inspection system in spite of using a color scanner with large measuring area.

Compatibility inspection for the way for Decision about Bight Flow Profile of Standard River Design (하천설계기준의 만곡부 수면형 결정 방법에 대한 적용성 검증)

  • Choi, Han-Kuy;Che, Hong-Gi;Baek, Hyo-Sun
    • Journal of Industrial Technology
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    • v.26 no.B
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    • pp.43-51
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    • 2006
  • Through the result of calculating the deviation between the value calculated from two-dimensional number formula, one-dimensional number interpretation, and curving part water surface type calculation method, we could confirmed that the deviation is reduced more than 50% when we use curving part water surface type calculation method. Also it was confirmed that there occurs the reduction rate of maximum 59% as the result of comparing with one-dimensional number interpretation since the reduction rate of safe room height was 20%, in 500 CMS of flood water quantity when we planted the construction of levee by curving part water surface type calculation method. And therefore, we have confirmed that the curving water surface type calculation method can be used as a simple formula in rivers with water quantity less than 500 CMS that flows in and out in Jess than 90 degree angle.

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Estimation of Wind Turbine Power Generation using Cascade Architectures of Fuzzy-Neural Networks (종속형 퍼지-뉴럴 네트워크를 이용한 풍력발전기 출력 예측)

  • Kim, Seong-Min;Lee, Dong-Hoon;Jang, Jong-In;Won, Jung-Cheol;Kang, Tae-Ho;Yim, Yeong-Keun;Han, Chang-Wook
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1098_1099
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    • 2009
  • In this paper, we present the estimation of wind turbine power generation using Cascade Architectures of Fuzzy Neural Networks(CAFNN). The proposed model uses the wind speed average, the standard deviation and the past output power as input data. The CAFNN identification process uses a 10-min average wind speed with its standard deviation. The method for rule-based fuzzy modeling uses Gaussian membership function. It has three fuzzy variables with three modifiable parameters. The CAFNN's configuration has three Logic Processors(LP) that are constructed cascade architecture and an effective optimization method uses two-level genetic algorithm. First, The CAFNN is trained with one-day average input variables. Once the CAFNN has been trained, test data are used without any update. The main advantage of using CAFNN is having simple structure of system with many input variables. Therefore, The proposed CAFNN technique is useful to predict the wind turbine(WT) power effectively and hence that information will be helpful to decide the control strategy for the WT system operation and application.

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Determination of Simultaneous Analytical Method of Residual Pesticides by Gas Chromatography (기체크로마토그래피를 이용한 잔류농약 동시다성분 분석법)

  • Choi, Won-Jo;Choi, Gye-Sun;Lee, Hee-Jung;Won, Young-Jun;Park, Heung-Jai;Kim, Woo-Seong
    • Journal of Environmental Science International
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    • v.18 no.12
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    • pp.1369-1381
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    • 2009
  • The simultaneous determination of residual pesticides was developed using a gas chromatography. In this study, a simple and reliable methodology was improved to detect 175 kinds of residual pesticides by a liquid-liquid extraction procedure, followed by chromatographic analysis by gas chromatography. The 175 kinds of residual pesticides was classified into 4 groups according to the chemical structure, column type, resolution and sensitivity. The soybean sample selected for recovery experiment was not detected any pesticides. The recovery rates were ranged from 70.6% to 119.7% in most pesticides. The relative standard deviation (RSD 0.3~5.6%) was lower than 5.6% in all cases. The limits of detection (LOD) was lower than the maximum residue levels established by Korean legislations. The method has been successfully applied to the analysis of approximately 130 real samples.

Prediction of Maximum Dry Unit Weight of Sandy Soils From Grain-Size Distribution Parameters (입도분포계수를 이용한 사질토의 최대건조단위중량 예측)

  • Song, Young-Woo;Jin, Myung-Sub;Hong, Ki-Nam
    • International Journal of Highway Engineering
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    • v.6 no.3 s.21
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    • pp.55-64
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    • 2004
  • Maximum dry unit weight, ${\gamma}_{dmax}$, is the most important engineering properties for subgrade soil. Existing models to predict ${\gamma}_{dmax}$ containing many parameters, seem to be rather complex. This paper presents new simple models to predict ${\gamma}_{dmax}$. for sandy soils, A number of sieve analysis and compaction tests for 36 types of sands were conducted to develop the regression-based models. Parameters used to estimate ${\gamma}_{dmax}$ are both the geometric mean and geometric standard deviation of the soils, or the particle-size distribution curve parameters. Maximum dry unit weights predicted by the models are in good agreement with the laboratory measurements for the soil samples obtained at 16 locations within the Korea.

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