• The Journal of Engineering Geology
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• v.28 no.4
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• pp.673-686
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• 2018

The physical properties of rocks constituting the rock mass were analyzed by using various methods such as 7 kinds of physical properties of about 2,400 data. The correlation equation was derived from the correlation equation with the dependent variables by screening independent variables through the significance level using multiple regression analysis. In order to verify the reliability of this equation, verification was performed through comparison with actual data using artificial neural network learning. The analysis results by petrogenesis and strength confirmed that the elastic wave velocity (compressional wave) and elastic modulus as the main influence factors for the independent variables affecting the dependent variables. This proves that most of the correlation equations using the above items are found in existing studies. And through this study, it is confirmed whether the rock classification is based on the above items in various standards. In addition, the analysis results of representative rocks showed a high correlation as the equation for estimating unconfined compressive strength and elastic modulus exceeds the coefficient of determination 0.8.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.103-111
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• 2011

The speed is one of the significant factors affecting accident occurrence. In particular, freeway accidents are highly associated with the speed because vehicles travel on the freeway at higher speed leading to greater potential of severer injury. Efforts attempting to relating speed with accident occurrence have not been significantly made in Korea. The objective of this study is to model the relationship between speed and accident rate on freeways. Loop detector data and accident data obtained from a stretch of Kyungboo freeway during the recent five years, 2005-2009, were used to establish the model. Multiple linear regression analyses showed that median, minimum and standard deviation of speed were contributing variables in the model. The statistical significance identified by the analyses supports the feasibility of the model in evaluating various transportation policies and operations strategies in terms of traffic safety.

• Journal of Korean Home Economics Education Association
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• v.27 no.1
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• pp.1-12
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• 2015

This investigation analyzed differences in sexual experiences between general and multi-cultural adolescents using the 7th data of youth health behavior online survey and examined effects of fathers' education and sex education on these differences. Specifically, sexual experiences were assigned as dependent variable, multi-cultural background as independent variable, and fathers' education and sex education as moderating variable. Effects of independent and moderating variables were examined using SPSS 20.0 to perform GLM (General Linear Model). As a result, a main effect of multi-cultural background was verified along with the regulation effects of fathers' education and sex education. Specifically, multi-cultural adolescents had more sexual experiences than general adolescents and the effects of fathers' education and sex education were more significant with multi-cultural adolescents than those with general adolescents. While fathers' education and sex education of general adolescents did not make a big difference in sexual experiences, multi-cultural adolescents whose fathers' education levels were low and those who were not taught sex education had more sexual experiences.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.313-320
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• 2018

The purpose of the study is to suggest ways to reduce the difference in occupancy rate and cost of incubation centers and surveyed 262 business disclosures of KBIA. the region, the subject of management, and the technology field are set as independent variables among the management disclosure items, and the occupancy rate, cost, and assigned grade are defined as dependent variables. As a result of the correlation analysis, it was found that about 19.4%($R^2=0.194$) and about 7.0%($R^2=0.059$) explain the cost of the operation, Respectively. finally Costs are high in metropolitan areas, public organizations and technology-intensive centers are inexpensive, occupancy rates are high in government and universities, and low in large cities. In order to resolve the gap, $5,720won/m^2$ is appropriate, and the center operates as a technology-intensive specialization center.

• Journal of Technology Innovation
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• v.21 no.3
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• pp.121-140
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• 2013

The establishment of function and role in government-funded research institute becomes a vital issue as fierce international technology-competition and enhanced industrial convergence makes science and technology important and influential more and in socio-economic level. This paper defines independent and dependent variables to identify factors which influence on research performance. As the independent variables, research funds, research personnel and research support staff are chosen. Dependent variables which are selected as proxy variables of research performance are royalties, papers and patents. Values from regression analysis were drawn by time-series analysis and cross-section analysis. As a result, the significance of correlation coefficients is sequential, research personnel, research support staff and research funds respectively. This finding is expected to give implication of future direction on government-funded research institute development.

• Applied Chemistry for Engineering
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• v.7 no.6
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• pp.1147-1155
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• 1996

In the spray drying with rotating wheel atomizer of cheese powder, the relationships among variables were analyzed with Response Surface Methodology in which several independent variables such as total solid content, wheel rotation speed, and outlet temperature influenced dependent variables such as particle diameter, moisture content, bulk density, and viscosity of suspended liquid. Significance and correlation were tested according to central composite design. As a results of analyzing the correlations between independent and dependent variables, particle diameter and moisture content of cheese powder were decreased with increasing wheel rotation speed, and bulk density was decreased with increasing outlet temperature. Viscosity of suspended liquid were increased with increasing wheel rotation speed and total moisture content. In correlation among dependent variables, moisture content was proportional to bulk density, and particle diameter was inversly proportional to moisture content and bulk density.

• Informatization Policy
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• v.24 no.1
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• pp.79-99
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• 2017

Despite the early success story, the pan-industry diffusion of big data has been slow mostly due to lack of confidence of the value creation and privacy-related concerns. The problem leads us to the need to a stakeholder analysis on the adoption process of big data. The present study combines technology acceptance model, task-technology fit theory, and privacy calculus theory to integrate the positive and negative factors on the big data adoption. The empirical analysis was performed based on the survey from the current and potential big data users. Results revealed perceived usefulness, task-technology fit, and privacy concern are significant antecedents to the intention to use big data. Furthermore, there are significant differences in the perceptions of each constructs among groups divided by the types of big data use, with several exceptions. And the control effect was found in the magnitude of the relation between independent variables and dependent variable. The theoretical and politic implications of the analysis are discussed as to the promotion of big data industry.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.175-182
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• 2021

In this study, small and medium-sized manufacturing and distribution businesses were asked to demonstrate how the risks that could arise from implementing ITOs affect their performance. Small and medium-sized enterprises that want to reduce costs or secure competitiveness through outsourcing ITO conducted research to identify and analyze risks of ITO and improve corporate performance. Strategic, technical, and financial risks were selected as independent variables for analysis by the survey method. In addition, relationship risk was selected as a parameter and corporate performance was selected as a dependent variable to conduct a path analysis. The analysis showed that the variables injected as independent variables had indirect and total effects on corporate performance. This can be interpreted as the higher the level of awareness of strategic and technological risks and financial risks, the higher the level of relational risk, and thus the positive impact on corporate performance. We expect to improve corporate performance through analysis of more and more risk factors in the future.

• Proceedings of the Korean Aquaculture Society Conference
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• 2003.10a
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• pp.151-152
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• 2003

물리ㆍ화학적 및 효소적 방법을 이용한 근육의 품질판정 지표로써 수분함량, 지질함량 그리고 콜라겐 함량등을 살펴보았으며, AEC 수치로써 건강도를 측정하고자 하였다. 즉, 이런 지표들을 이용하여 양식산 활어의 품질에 가장 큰 요인으로 작용하는 파괴강도와의 상관관계를 살펴보고자 하였다. 지금까지 조사된 양식산 활어성분 중 파괴강도가 어떠한 독립변수들에 의하여 크게 영향을 받으며, 파괴강도와 독립변수와의 관계식은 무엇인가를 규명하기 위하여 회귀분석을 실시하였다 여기서 독립변수로 사용된 것은 아래와 같다. X$_1$ : 수분함량(moisture content) X$_2$ : 지질함량(lipid content) X$_3$ : 콜라겐 함량(collagen content) 각 성분간의 상관관계를 피어슨 상관계수로 나타낸 것으로, 파괴강도와 수분 함량, 지질함량사이에는 상관성이 있으나(r=0.66, r=-0.69: p<0.05), 콜라겐의 함량과는 상관성을 가지지 못하였다. 또한, 콜라겐과 수분함량(r=0.19), 콜라겐과 지질함량(r=-0.29)로 각 성분간의 상관성이 존재하지 않았다. 그러므로, 파괴 강도값은 지질과 수분함량간의 상관관계가 형성된다. 즉, 수분함량이 크고 지질함량이 작아지면 파괴강도간은 커진다는 결론이다. 이 결과를 이용하여 파괴감도, 수분함량 그리고 지질함량간의 회귀분석을 실시한 결과 다음과 같다. Y = 0.74481 ＋ 0.01323 X$_1$- 0.05821 X$_2$ 이 회귀식을 이용하여, 참돔의 수분함량과 지질함량을 측정함으로써 참돔의 품질을 결정할수 있는 파괴강도값이 계산으로 얻어진다. 또한 효소적방법으로써 품질지표인 AEC수치를 측정함으로써 건강도를 판정할 수 있다. 그러므로, 파괴강도값을 이용하여 품질의 등급을 선정하며, AEC수치를 건강도의 등급을 선정하여야 된다. 파괴강도값에 의한 등급은 1.4kg이상은 상급, 1.2~l.4kg은 중급, 1.2kg이하를 하급으로 선정하며, AEC수치는 1.0~0.9는 상급, 0.9~0.8는 중급, 0.8이하를 하급으로 선정하여 등급화를 분류할 수 있을 것으로 판단된다.

• Korean Journal of Food Science and Technology
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• v.50 no.5
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• pp.474-479
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• 2018

In this study, ultrasound-assisted extraction conditions of total anthocyanins and total phenolic compounds from Campbell early grape (Vitis labruscana) were optimized via response surface methodology using a Box-Behnken design. Three independent variables, including solid-liquid ratio (1/30-1/50 g/mL), extraction time (2-10 min), and amplitude (20-100%), significantly affected total anthocyanin content. However, no significant effect of these variables was observed in the total phenolic compound content. The optimized extraction conditions were solid-liquid ratio of 1/48.13 g/mL, extraction time of 2 min, and amplitude of 20%. Under these conditions, the predicted values of total anthocyanins and total phenolic compounds were 94.96 and 1,661.16 mg/100 g dry weight (DW), respectively. The experimental values of total anthocyanins and total phenolic compounds were 88.25 and 1,554.37 mg/100 g DW, respectively, which is well matched with the predicted values within 7.5% difference.