• The Transactions of the Korean Institute of Electrical Engineers C
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• v.53 no.4
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• pp.192-199
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• 2004

Elastic-factor of elastic epoxy were investigated by TMA (Thermomechanical Analysis), DMTA (Dynamic Mechanical Thermal Analysis), TGA (Thermogravimetric Analysis) and FESEM (Field Emission Scanning Electron Microscope) for structure-images analysis as toughness-investigation to improve brittleness of existing epoxy resin. A range of measurement temperature of the TMA and DMTA was changed from -20($^{\circ}C$) to $200^{\circ}(C)$, and TGA was changed from $0^{\circ}(C)$ to $600^{\circ}(C)$. Glass transition temperature (Tg) of elastic epoxy was measured through thermal analysis devices with the content of 0(phr), 20(phr) and 35(phr). Also, thermal expansion coefficient (a), high temperature, modulus and loss factor were investigated through TMA, TGA, and DMTA. In addition, the structure of specimens was analyzed through FESEM, and then elastic-factor of elastic epoxy was visually showed by FESEM. As thermal analysis results, 20(phr) was more excellent than 30(phr) thermally and mechanically. Specially, thermal expansion coefficient, high temperature, modulus, and damping properties were excellent. By structure-images analysis through FESEM, we found elastic-factor of elastic epoxy that is not existing epoxy, and proved high impact.

• Journal of the Society of Naval Architects of Korea
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• v.49 no.6
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• pp.469-477
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• 2012

This paper describes the characteristic analysis of ice impact force for the Arctic structure shape. In the present study an energy method has been used to predict the impact force during the ice-structure collision. This study also employs two concepts for reference contact area and normalized stress in analysis procedure. The influences of factors, such as impact velocity, full penetration depth, structure shape and ice floe size, are investigated. Full penetration occurs, particularly at lower impact velocity when ice thickness increase. But "typical size" ice floe does not expected ever to achieve full penetration during the impact procedure. The structure shape is the dominant factor in ice impact force characteristic. The results for various ice-structure collision scenarios are analyzed.

• Journal of Korean society of Dental Hygiene
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• v.1 no.1
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• pp.53-62
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• 2001

The purpose of this study was to measure of dental impact on daily lining among workers. The number of subjects were 1.457 workes. To predict the oral health of workers, we used the measurement of dental impact on daily living. Using methodology was self-questionnaire which included the perceived oral health status, and performance, appearance, pain, eating restriction and discomfort. The associations between the performance factors and perceived oral health status, pain, eating restriction and discomfort, the results were as follows: 1. There were consisted of 48.3% of female. 63.1% of smokers. 92.3% of lower than 30years and 99.4% of graduating high school. 2. Measurement of daily impact on daily living were classified into the following 6 categories. Facter analysis for validity was carried out for corroboration. 3. Association between performance factors and other factors(pain, eating restriction and discomfort) were evaluated by multiple regression was significant(44%, p<0.01).

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.769-779
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• 2020

Self-efficacy has been extensively evaluated, but no studies have investigated the effect of self-efficacy on the self-reliance of women in poor-households economic productivity. This study analyzes self-efficacy as a personal factor, learning processes, and social support as an environmental factor towards the achievement of self-reliance in women from poor-households in productive economy businesses. Despite the dominant logic of this scheme, there is a need for field-based data regarding whether the variable really supports the sustainable empowerment of poor-households women. This study used the quantitative method through the survey technique. The samples of this study included 250 people collected from five regencies in Indonesia by using a multiple-stage random sampling. The data were analyzed with structural equation modeling. The results show that social support has a significant positive impact on the learning process; social support has a direct negative impact on self-efficacy. The learning process has a direct positive influence on self-efficacy, while social support has a non-significant impact on self-reliance. The learning process has a direct influence on self-reliance. Social support and the learning process both have significant positive impact on self-efficacy. Social support, learning process, and self-efficacy simultaneously have a positive impact on self-reliance in productive economic activities.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.2
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• pp.189-201
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• 2019

The purpose of this study is to identify elements of job crafting impacts on work engagement and individual work performance in Vietnamese commercial banks. The research data, collected from 226 bank officers, uses the quantitative research tools as: Cronbach's Alpha Analysis, Explanatory Factor Analysis, Confirmatory Factor Analysis as well as Structural Equation Modeling. The results of the hypothesis test show that only two hypotheses (H2, H3) are accepted: the impact of cognitive crafting on work engagement of bank officers (H2) and the impact of work engagement on individual work performance (H3). However, three remaining relationships (H1, H4, H5) are not accepted in the study: the impact of relational crafting on work engagement of bank officers (H1), the impact of relational crafting on individual work performance of bank officers (H4) and the impact of cognitive crafting on individual work performance of bank officers (H5). The study results indicate that cognition on job crafting leaves positive impacts on work engagement, leading to individual work performance enhancement. On the other hand, the relational crafting element implies contribution on neither collective nor individual working performances. Furthermore, no direct effect of cognition on job crafting to individual performance has been identified.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.423-431
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• 2021

This paper examines the impact of university social responsibility on brand image and student satisfaction. Social responsibility impact on consumer behavior has been studied extensively. But the same impact has not been rigorously tested to the same extend in the education sector. Firstly, we analyze the perception of university social responsibility (USR) and its components, including (1) the quality of teaching programs, facilities, and academic staff; (2) supporting learning activities; and (3) human resource policies. Secondly, we investigate the relationship between university social responsibility, brand image, and student satisfaction. The study examined these relationships through a proposed economic model based on answers from a survey of 298 students at the University of Food Industry Ho Chi Minh City. From the above survey data, the author proceeds to quantify variables and, based on Cronbach's Alpha reliability coefficient, EFA factor analysis, and linear regression, to measure the impact of each social responsibility factor on business of the university and student satisfaction. The results show that university social responsibility actually affects the university's brand image and student satisfaction. Our findings suggest that universities should develop an appropriate marketing strategy to reinforce brand image and student satisfaction through the university social responsibility model.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7625-7628
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• 2014

Breast cancer is the most common cancer among women worldwide. The primary aim of this work was to provide an in-depth evaluation of research publications in the field of diets and breast cancer. The impact of economic outcome on national academic productivity was also investigated. Data were retrieved using Pubmed for English-language publications. The search included all research for which articles included words relating to "diets and breast cancer". Population and national income data were obtained from publicly available databases. Impact factors for journals were obtained from Journal Citation Reports$^{(R)}$ (Thomson Scientific). There were 2,396 publications from 60 countries in 384 journals with an impact factor. Among them, 1,652 (68.94%) publications were Original articles. The United States had the highest quantity (51% of total) and highest of mean impact factor (8.852) for publication. Sweden had the highest productivity of publication when adjusted for number of population (6 publications per million population). Publications from the Asian nation increased from 5.3% in 2006 to 14.6% in 2012. The Original article type was also associated with geography (p<0.001; OR=2.183; 95%CI=1.526-3.123), Asian countries produced more proportion of Original articles (82%) than those of rest of the world (67.6%). Diets and breast cancer-associated research output continues to increase annually worldwide including publications from Asian countries. Although the United States produced the most publications, European nations per capita were higher in publication output.

• Magazine of the Korea Concrete Institute
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• v.7 no.1
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• pp.109-116
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• 1995

In tnis study, the impact factors of a simply supported highway bridge due to a vehicle moving across the span are presented. This variable has received cons~derable attention in recent years, both analytically and experimentally. The KBDC specification equation has a maximum 30 percent value which decreases with span length. The results of field tests showed that the dynamic load effects are mostly lower t.hari present KBDC value and that the impact factor does not vary significantly with spar1 as implied in KHUC. The rnain parameters affecting lmpact are the br dge approach. bumps, and other pavement roughness. In thls study, based on test results, three values of impact factors are provided by correlating the roughness of the surface to the deck condition survey values. The present study proposes reasonable impact factors for the strength evaluation of highway bridges. This study may be extended to the evaluation of existing brdges.

• Journal of the Korea Institute of Building Construction
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• v.11 no.2
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• pp.100-107
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• 2011

As construction duration significantly influences the performance and the success of construction projects, it is necessary to appropriately manage the impact factors affecting construction duration. Recently, interest in the construction industry has been rising due to the recent change in the construction legal system, and the competition among the construction companies on construction time. However, the impact factors are extremely diverse. The existing productivity data on impact factors is not sufficient to properly identify the impact factor and measure the productivity from various perspectives, such as subcontractor, time, crew, work and so on. In this respect, a multidimensional analysis by a data warehouse is very helpful in order to view the manner in which productivity is affected by impact factors from various perspectives. Therefore, this research proposes a method that effectively takes the diverse productivity data of impact factors, and generates a multidimensional analysis. Decision tree analysis, a data mining technique, is also applied in this research in order to supply construction managers with appropriate productivity data on impact factors during the construction management process.

• Journal of the Korea Institute of Building Construction
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• v.21 no.5
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• pp.495-506
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• 2021

A Conceptual cost estimate, which is computed in the preliminary step of a project, is important for decision-making by a contractor in terms of the project budget, economic feasibility and validity analysis, and alternative comparisons. Therefore, a high error rate of a prediction model for a conceptual cost estimate can lead to various problems including excessive project expenditures and a delayed break-even point. this study proposed optimal impact factors by configuring quantitative impact factors computable in a preliminary step in various cases(combinations of impact factors). subsequently, the accuracy of different cases was comparatively analyzed by using the cases as input values of a prediction model using regression analysis. when the optimal combination of impact factors proposed in this study and other combination of impact factors were applied to the prediction model, the regression analysis-based prediction model exhibited 0.2-4.7% improvements in accuracy, respectively. the optimal combination of impact factors proposed in this study improved the accuracy of the prediction model of a conceptual cost estimate by removing unnecessary impact factor.