• 대한수의사회지
• /
• 제28권12호
• /
• pp.736-739
• /
• 1992

This report was undertaken to examine the correlationship between internal parasite infection and amount of milk production before and after vermicidal administration on F. hepatica and gastrointestinal nematoda infected cattle. The obtained results were

• 한국섬유공학회:학술대회논문집
• /
• 한국섬유공학회 2007년도 학술발표회 논문집
• /
• pp.331-332
• /
• 2007

• Bulletin of the Korean Chemical Society
• /
• 제24권2호
• /
• pp.159-160
• /
• 2003

• 대한지역사회영양학회:학술대회논문집
• /
• 대한지역사회영양학회 1998년도 추계학술대회 및 제3차 정기총회
• /
• pp.113-113
• /
• 1998

• 대한지역사회영양학회:학술대회논문집
• /
• 대한지역사회영양학회 1998년도 추계학술대회 및 제3차 정기총회
• /
• pp.112-112
• /
• 1998

• 한국환경보건학회지
• /
• 제7권1호
• /
• pp.9-20
• /
• 1981

This study was performed to determine the correlationship between temperature and overall removals of BOD, SS and to demonstrate the effect of temperature on treatment performance. These data for a period from February 1, 1977 to January 31, 1980 were obtained from the Cheong-Gye Cheon Sewage Treatment plant. The results of correlation and stepwise multiple regression analysis were as follows. 1) Secondary effluent BOD and SS showed negative correlationship with water temperature, with correlation coefficient of -0.1710, and -0.1654 respectively. 2) Correlation coefficient of BOD, SS removal rate and water temperature were 0.1823 and 0.0429 respectively. 3) Regresion equation for estimate of BOD removal rate was as follows $\widehat{Y}_1$ (BOD removal rate)=63.9994+0.5442X(water temperature). And BOD removal rate showed non significant change according to the water temperature. 4) Regression equation for estimate of SS removal rate was as follows $\widehat{Y}_2$ (SS removal rate)=61.6881+0.1514X(Water temperature). And SS removal rate showed non significant change according to the water temperature. 5) According to the Stepwise Multiple Regression analysis, water temperature ranked second order in the BOD removal rate estimation and the equation was as follows $\widehat{Y}_1$ (BOD removal rate)=69.7398+0.2665 $X_1$ (Primary effluent BOD)+0.3562 $X_2$ (Water temperature)-0.0122 $X_3(Flow)+4413.271X_4$ (Organic Loading).

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2009년도 학술발표회 초록집
• /
• pp.1306-1310
• /
• 2009

The roughness coefficients were estimated by the Manning's equation for the measured stage and flow velocity of Bocheong stream basin in Kum river. The relationships between the estimated roughness coefficients and the geomorphologic factors were formulated by the linear, logarithmic, exponential and power type function, thereafter correlation equations were presented. The correlation analysis was performed between the measured stream length and the basin area of Bocheong stream basin by the linear, logarithmic, exponential and power type function, and correlation equation for the stream length was given. The roughness coefficient has strong correlationship with stream slope, but low correlation coefficients with stream length and basin area. For the correlationship with the roughness coefficients and the stream slope, the logarithmic type function has the smallest correlation coefficient, on the other hand, the exponential type function has the largest correlation coefficient. For the relationship between the stream length and the basin area, the correlation coefficient of the logarithmic type function shows the smallest value, linear type function shows the largest value.

• 대한치과교정학회지
• /
• 제24권4호
• /
• pp.841-849
• /
• 1994

This study was conducted on 342 patients(male 157, female 185)aged 8 to 15 years old, who visited Dankook University Dental Hospital. Pre-orthodontic treatment orthopantomograms were used to assess the dental calcification stages of mandibular 3rd molar, 2nd molar, 2nd premolar and 1st premolar by 8 stages.(by Demirjian) Hand-wrist radiogrms were used to evaluate the skeletal maturity in 11 stages.(by Fishman) Following results were obtained after investigating the correlationship between dental calcification and skeletal maturity 1. Chronologic age showed high correlation to dental calcification and skeletal maturity. 2. Dental calcification and skeletal maturity showed high correlation and no statistical difference was observed between male and female. 3. SMI stages 1 to 4 showed high statiscal significance to mandibular 2nd molar, 2nd premolar and 1st premolar. SMI stages 5 to 8 showed high stastical significance to mandibular 2nd molar, 2nd premolar. SMI stages 9 to 11 showed high statistical significance to mandibular 3rd molar.

• 산업기술연구
• /
• 제29권B호
• /
• pp.17-23
• /
• 2009

In many cases, clustering algorithms have been used for extracting and discovering useful information from non-linear data. They have made a great effect on performances of the systems dealing with non-linear data. Thus, this paper presents a new approach called hierarchically structured clustering algorithm, and it is applied to the prediction system for non-linear time series data. The proposed hierarchically structured clustering algorithm (called HCKA: Hierarchical Cross-correlation and K-means clustering Algorithms) in which the cross-correlation and k-means clustering algorithm are combined can accept the correlationship of non-linear time series as well as statistical characteristics. First, the optimal differences of data are generated, which can suitably reveal the characteristics of non-linear time series. Second, the generated differences are classified into the upper clusters for their predictors by the cross-correlation clustering algorithm, and then each classified differences are classified again into the lower fuzzy sets by the k-means clustering algorithm. As a result, the proposed method can give an efficient classification and improve the performance. Finally, we demonstrates the effectiveness of the proposed HCKA via typical time series examples.

• Asian-Australasian Journal of Animal Sciences
• /
• 제4권1호
• /
• pp.67-71
• /
• 1991

The purpose of this study was to investigate the possibility of using the buffer index curve as a criterion of silage quality evaluation. The buffer index (or buffer capacity, $\beta$) value is the amount of 0.1N NaOH consumed in titrating from the beginning to the end of the chosen pH step. This value equals the slope of the titration curve at the chosen pH range (${\beta}={\Delta}NaOH/{\Delta}pH$). There were two patterns of buffer index curve. Poorly preserved silages had a peak at pH 5.0, whereas with well preserved silages the peaks tended to rise to the pH 3.75 or 4.00. Well preserved, wilted silages with high pH also appeared to have peak values at pH 3.75 or 4.00. There was a high positive correlationship between the concentration of lactic acid and peak value of good quality silage (r = 0.994, p < 0.01). Also a high positive correlationship (r = 0.899, p < 0.001) was found between the sums of concentration of acetic and butyric acids and the peak values of poor quality silages. The results of these experiments verified the value of the buffer index method as a criterion of silage quality evaluation.