• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.11a
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• pp.243-246
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• 2008

The combustion characteristic of solid fuel with chamber pressure were experimentally studied in hybrid combustion. This paper was experimental confirmed whether solid fuel affected not only oxidizer mass flux but also chamber pressure. Poly-Ethylene(PE) was used as fuel, GOX was used as oxidizer. Chamber pressure was controled by nozzle throat diameter 6mm and 9mm. In low oxidizer mass flux, solid fuel regression rate was affected not only oxidizer mass flux but also chamber pressure. As well, the regression rate increase as chamber pressure increase with same oxidizer mass flux.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2004.03a
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• pp.524-527
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• 2004

Hybrid rocket had many advantage with compared to solid and liquid rockets. However, the engines have not yet been used in practical rocket systems, due mainly to the disadvantage of hybrid combustion, such as low fuel regression rate. In this study, lab-scale hybrid motor was designed and manufactured. And the methods of regression rate improvement were considered. Test firings with thrusts up to 300 N were conducted with GOX and transparent PMMA. Thrust was calculated with the pressure of the combustion chamber and the regression rate was measured in with variation of oxidizer flow rate. The regression rates showed a strong dependency on GOX mass flux. The frequency analysis technique of the bulk-mode oscillation of motor was applied to a hybrid rocket motor and was based on the principle that this frequency was inversely proportional to the square root of the chamber volume. Several problems and solutions of operating hybrid rocket were presented.

• Journal of Nutrition and Health
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• v.29 no.7
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• pp.806-820
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• 1996

The relationship between exercise and hone mineral density (BMD) was investigated in 153 healthy women. The BMD of lumbar spine, femur(neck, ward's triangle, trochanter) and total body was determined by dual energy X-ray absorptiometry in a group subjects(65) aged 19-59 years who had been exercising(swimming or aerobic dancing) regularly for at least 2 years as well as in a similar group of nonexercising control subjects(88). Weight, height, total lean body mass(=weight-total fat body mass-bone mineral content), animal and meat Ca, Ca index, energy expenditure, BMD, PYD/Cr were significantly higher in the exercisers than the controls. There were significantly negative correlations between age, ALP and osteocalcin and BMD, but significantly positive correlations between weight, BMI, total fat body mass and total lean body mass and BMD. Stepwise multiple regression analysis revealed that total lean body mass may be a better independent predictor to BMD than total fat body mass. The nutrient intakes were more closely related to BMD in the exercisers than the controls, but energy expenditure was more closely related to BMD in the controls than the exercisers Stepwise multiple regression analysis revealed that BMD was closely related to menopause, osteocalcin, age, weight in both groups but energy intake in the exercisers alone, energy expenditure in control alone. In premenopausal women, the exercisers had significantly greater BMD than the controls. But, in postmenopausal women, no significant difference between two groups was detected. When compared to BMD of the subjects with same age range to minimize the effect of age, aerobic dancing appears to be capable of exerting a positive effect on BMD in a group of subjects aged 19-44. However, no relationship of the swimming to BMD could be identified in a group of subjects aged 37-59. The results of this study suggest that the usefulness of exercisng appears to be significantly greater in preemenopausal women than postmenoparusal women and weight bearing activity, aerobic dancing is associated with increasing BMD at the weight bearing sites and could be beneficial in the prevention of bone loss. But the usefulness of swimming on bone should be further investgated.

• Clinical and Experimental Reproductive Medicine
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• v.41 no.2
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• pp.75-79
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• 2014

Objective: To study the effect of body composition on reproduction in women with unexplained infertility treated with a controlled ovarian hyperstimulation and intrauterine insemination programme. Methods: This prospective observational study was conducted on 308 unexplained infertile women who were scheduled for a controlled ovarian hyperstimulation and intrauterine insemination programme and were grouped as pregnant and non-pregnant. Anthropometric measurements were performed using TANITA-420MA before the treatment cycle. Body composition was determined using a bioelectrical impedance analysis system. Results: Body fat mass was significantly lower in pregnant women than in non-pregnant women ($15.61{\pm}3.65$ vs. $18.78{\pm}5.97$, respectively) (p=0.01). In a multiple regression analysis, body fat mass proved to have a stronger association with fecundity than the percentage of body fat, body mass index, or the waist/hip ratio (standardized regression coefficient${\geq}0.277$, t-value ${\geq}2.537$; p<0.05). The cut-off value of fat mass, which was evaluated using the receiver operating characteristics curve, was 16.65 with a sensitivity of 61.8% and a specificity of 70.2%. Below this cut-off value, the odds of the pregnancy occurrence was found to be 2.5 times more likely. Conclusion: Body fat mass can be predictive for pregnancy in patients with unexplained infertility scheduled for a controlled ovarian hyperstimulation and intrauterine insemination programme.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.1-6
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• 2019

In this study, the development of a weight estimation model of electronic scale with nonlinear characteristics is presented using polynomial regression analysis. The output voltage of the load cell was measured directly using the reference mass. And a polynomial regression model was obtained using the matrix and curve fitting function of MS Office Excel. The weight was measured in 100g units using a load cell electronic scale measuring up to 5kg and the polynomial regression model was obtained. The error was calculated for simple($1^{st}$), $2^{nd}$ and $3^{rd}$ order polynomial regression. To analyze the suitability of the regression function for each model, the coefficient of determination was presented to indicate the correlation between the estimated mass and the measured data. Using the third order polynomial model proposed here, a very accurate model was obtained with a standard deviation of 10g and the determinant coefficient of 1.0. Based on the theory of multi regression model presented here, it can be used in various statistical researches such as weather forecast, new drug development and economic indicators analysis using logistic regression analysis, which has been widely used in artificial intelligence fields.

• Asia pacific journal of information systems
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• v.9 no.4
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• pp.125-142
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• 1999

The increased investment in technological innovations makes the investigation of factors affecting technology adoption more interesting. Several perspectives have been proposed to explain the determinants of information technology adoption. While the traditional innovation diffusion research streams try to explain and predict adoption behavior with the adopter's perceptions about the characteristics of the innovation itself, critical mass theorists argue that adoption behavior as a collective action is based on what their business partners are doing and whether there exists enough critical mass to justify the investment. Drawing on theses two perspectives, this study investigates the decision criteria in the adoption of information technology as innovation and factors affecting the decision criteria. The survey results reveal that the adoption behavior is affected both by innovation characteristics and by critical mass's activity. Correlation analysis, t-test, and stepwise regression models also show that as the environmental uncertainty is getting higher, adoption decision is affected more by what others are doing, and that highly competitive organizations seem to play the role of critical mass.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.11
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• pp.110-117
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• 1995

This study presents and algorithm and related techniques which could satisfy the important properties of check weighers and conveyor scales. The algorithm of Recursive Least Squares Regression is applied for the weighing system simulated as a dynamic model of the second order. Using the model and the algorithm, model parameters and then the mass being weighed can be determined from the step input. The performance of the algorithm was tested on a check weigher. Discussions were extended to the development of noise reduction techniques and to the lagged introduction of objects on the moving plate. It turns out that the algorithm shows several desirable features suitable for real-time signal processing with a microcomputer, which are high precision and stability in noisy environment.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2003.05a
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• pp.262-265
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• 2003

This Study is focused on the instrumenting Hybrid Rocket Motor of ACPL at Konkuk University and researching combustion instability by measuring regression rate versus oxidizer mass flux. In the result of experiment, test fire was moderate and we could acquire data of pressure, thrust, and temperature of combustion chamber. In the future, studying unsteady change of regression rate and pressure characteristic analysis of combustion chamber through hundreds of experiments should be performed. furthermore, researching characteristic velocity by taking a measurement of combustion temperature will be inevitable.

• Communications for Statistical Applications and Methods
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• v.19 no.5
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• pp.731-741
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• 2012

The Korean film industry has grown fast since the 2000s in terms of entering the 50% market share level, the emergence of 10million box-office movies and export performance improvement; however, the earning rate of production and investment part has decreased and recorded a minus value since 2005. This article aims to find key the determinants for the success of Korean movies from 2001~2006, a period of high growth and success of the Korean film industry through a multiple regression analysis. This paper introduces new determinants such as the interaction effect of the director and lead actor as well as mass culture codes. Finally, the authors suggest some proposals to make the Korean Film Industry more profitable.

• Journal of the Korean Home Economics Association
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• v.42 no.8
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• pp.77-93
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• 2004

This study examined the factors affecting allowance management and buying behaviors and their interrelationship. The data were collected from fourth, fifth and sixth grade students of elementary students in Kimhae-city by a self-administered questionnaire. Frequency distributions, Cronbach's Alpha, Pearson's correlation analysis, regression analyses, and path analysis were analyzed by SPSS Windows. According to the regression model for the allowance management behaviors, the significant variables were the child's sex, term of receiving allowances, recognition of the allowance amount before receipt, parents' guidance before using allowances, parent-child communication about consumption, and parents' mediation of mass media. On the other hand, in the regression model for the buying behaviors, the satisfaction of the allowance amount, parents' guidance before using allowances, the amount of watching TV, parent-child communication about consumption, and allowance management behaviors were significant. The path model showed the child's sex, term of receiving allowances, recognition of the allowance amount before receipt, and parents' mediation of mass media indirectly affected the buying behaviors. In addition, the satisfaction of the allowance amount and the amount of watching 1V directly affected the buying behaviors. Moreover, parents' guidance before using allowances and parent-child communication about consumption had a direct effect and an indirect effect through the allowance management behaviors on the buying behaviors. Finally, the allowance management behaviors showed a strong positive effect on the buying behaviors.