• Journal of Korean Society for Geospatial Information Science
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• v.20 no.2
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• pp.15-22
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• 2012

The variation in the wind speed with height above ground is called the wind shear profile. In the field of wind resource assessment, analysts typically use one of two mathematical relations to characterize the measured wind shear profile: the logarithmic profile (log law) and the power law profile (power law). The logarithmic law uses the surface roughness as a parameter, and the power law uses the power law exponent as a parameter. The shape of the wind shear profile typically depends on several factors, most notably the roughness of the surrounding terrain and the stability of the atmosphere. Since the atmospheric stability changes with season, time of day, and meteorological conditions, the surface roughness and the power law exponent also tends to change in time. For this study, Using the observed data from Met-mast, located in Pyeongdae, Handong in Jeju. we used the matlab and windograper to calculate roughness length and the law exponents. These calculations are similar to reference the data, but they have different ranges. In the ocean case, each reference data and calculated data was the same, but the crop area is higher than the earlier studies. In addition, the agricultural village is lower than the earlier studies.

• Journal of Pharmaceutical Investigation
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• v.31 no.1
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• pp.57-62
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• 2001

Azelastine, a phthalazinone derivative, is an antiallergic agent which demonstrates histamine $H_1-receptor$ antagonist activity and also inhibits histamine release from mast cells following antigen and non-antigen stimuli. Thus, azelastine may be useful in the management of both asthma and allergic disorders. The purpose of the present study was to evaluate the bioequivalence of two azelastine hydrochloride tablets, $Azeptin^{TM}$ (Bu Kwang Pharmaceutical Co., Ltd.) and $Azela^{TM}$ (Kyung Dong Pharmaceutical Co., Ltd.), according to the guidelines of Korea Food and Drug Administration (KFDA). Eighteen normal male volunteers, $22.44{\pm}2.01$ years in age and $61.99{\pm}6.18\;kg$ in body weight, were divided into two groups and a randomized $2{\times}2$ cross-over study was employed. After two tablets containing 1 mg of azelastine hydrochloride per tablet were orally administered, blood was taken at predetermined time intervals and the concentrations of azelastine in serum were determined using HPLC with fluorescence detector. Pharmacokinetic parameters such as $AUC_t$, $C_{max}\;and\;T_{max}$ were calculated and ANOVA test was utilized for the statistical analysis of the parameters. The results showed that the differences in $AUC_t$, $C_{max}\;and\;T_{max}$ between two tablets were -6.45%, -2.60% and -7.14%, respectively, when calculated against the $Azeptin^{TM}$ tablet. The powers $(1-{\beta})$ for $AUC_t\;and\;C_{max}$ were 96.65% and 88.47%, respectively. Minimum detectable differences $({\Delta})$ at ${\alpha}=0.05$ and $1-{\beta}=0.8$ were less than 20% (e.g., 14.40% and 17.65% for $AUC_t\;and\;C_{max}$, respectively). The 90% confidence intervals were within ${\pm}20%$ (e.g., $-14.87{\sim}1.97$ and $-12.92{\sim}7.72$ for $AUC_t\;and\;C_{max}$, respectively). Two parameters met the criteria of KFDA for bioequivalence, indicating that $Azela^{TM]$ tablet is bioequivalent to $Azeptin^{TM}$ tablet.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.3
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• pp.295-303
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• 2012

Clarify wind energy productivity depends on three factors: the wind probability density function(PDF), the turbine's power curve, and the air density. The wind PDF gives the probability that a variable will take on the wind speed value. Wind shear refers to the change in wind speed with height above ground. The wind speed tends to increase with the height above ground. also, Wind PDF refers to the change with height above ground. Wind analysts typically use the Weibull distribution to characterize the breadth of the distribution of wind speeds. The Weibull distribution has the two-parameter: the scale factor c and the shape factor k. We can use a linear least squares algorithm(or Ln-least method) and moment method to fit a Weibull distribution to measured wind speed data which data was located same site and different height. In this study, find that the scale factor is related to the average wind speed than the shape factor. and also different types of terrain are characterized by different the scale factor slop with height above ground. The gross turbine power output (before accounting for losses) was caculated the power curve whose corresponding air density is closest to the air density. and air desity was choose two way. one is the pressure of the International Standard Atmosphere up to an elevation, the other is the measured air pressure and temperature to calculate the air density. and then each power output was compared.