• Steel and Composite Structures
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• v.39 no.5
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• pp.543-564
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• 2021

In this study free vibration analysis of a cracked Goland composite wing is investigated. The wing is modelled as a cantilevered beam based on Euler- Bernoulli equations. Also, composite material is modelled based on lamina fiber-reinforced. Edge crack is modelled by additional boundary conditions and local flexibility matrix in crack location, Castigliano's theorem and energy release rate formulation. Governing differential equations are extracted by Hamilton's principle. Using the separation of variables method, general solution in the normalized form for bending and torsion deflection is achieved then expressions for the cross-sectional rotation, the bending moment, the shear force and the torsional moment for the cantilevered beam are obtained. The cracked beam is modelled by separation of beam into two interconnected intact beams. Free vibration analysis of the beam is performed by applying boundary conditions at the fixed end, the free end, continuity conditions in the crack location of the beam and dynamic stiffness matrix determinant. Also, the effects of various parameters such as length and location of crack and fiber angle on natural frequencies and mode shapes are studied. Modal analysis results illustrate that natural frequencies and mode shapes are affected by depth and location of edge crack and coupling parameter.

• Proceedings of the KIEE Conference
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• 2004.07c
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• pp.1982-1984
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• 2004

Stator coil of rotating machinery has shown different characteristics according to impregnated with coil or not. And this is major determinant of equipment's life. In this paper, PD characteristics is studied as a classification scheme between two specimens. Processing of the coil impregnation is very important thing because that influences on thermal and electrical characteristics of the coil. And then PD is occurring at the coil and causing insulation degradation. For processing statistical processing, PD data acquired from PD detector using PDASDA(partial discharge acquisition, storage and display system). And also these statistical distribution and parameter are applied to classify PD sources by neural networks. As a result of, Neural Networks have a good discrimination rate for classification PD sources.

• Journal of Korean Society of Rural Planning
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• v.18 no.2
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• pp.39-45
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• 2012

The objective of this study was to analyze the determinant factors in the new agricultural technology acceptance targeted to the automatic switchgear for heat-retaining mulching used on the oriental melons farms. The probit and the logit models were estimated using survey data. The result indicated that the level of income, innovativeness, and reliability are important factors of the new agricultural technology acceptance. Therefore, it is considered the level of income, innovativeness, and reliability in advance to extend the new agricultural technology quickly.

• The Journal of Fisheries Business Administration
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• v.28 no.2
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• pp.87-105
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• 1997

The objective of this study is to analyze the effects of the oyster seed selection on profitability of the oyster aquaculture business The results of the analysis are as follows ; 1) The comparison of profitability among four different oyster seed applied to the four different scale : 1ha, 3ha, 5ha, and 10ha. The results of the comparison show that, for all scale, the artificial oyster seed is more profitable than the natural oyster seed or the natural oyster seed imported from Japan. 2) There are four important determinant variables of profitability to aquaculture business. In the order of their effect, it is oyster price, quantity of production, labor cost, and seed price. 3) If differences of price between the artificial hardening oyster seed and the natural hardening oyster seed are more less 1,430 won, the former is better. 4) The effect of increasing income of fishermen are estimated about 58.5 billion won or 102 billion won from the artificial oyster seed on the oyster aquaculture.

• Journal of Korea Port Economic Association
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• v.21 no.4
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• pp.239-253
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• 2005

Although logistics service quality is considered an essential strategy for success and survival in today's internet environment, there are still a lot of question: what variables determine the extent of logistics service effect, how difficultly do the determinants affecting logistics service effect and how accomplish the decision making in the implementation of inter-organization information system. The purpose of this study is to examine a model to utilize the application and effect of logistics service through e-marketplaces. The results of empirical analysis are mentioned as follows; First, among the interorganization information system factors, four variables(top management support in organization characters, competitive degree in environment characters, relative advantage and information efficiency in innovation characters) have been shown to be primary determinant of the effect of logistics service quality. Second, the type of independent variable used results in a significant difference in the effect of logistics service quality. Third, Korean firms have to pursue the corporate strategy focused on logistics service quality.

• Journal of Preventive Medicine and Public Health
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• v.38 no.3
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• pp.237-240
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• 2005

Social epidemiology is a sub-discipline of epidemiology explicitly investigating social determinants of population distributions of health, disease, and well-being. Persistent pattern of social inequalities in health in spite of the broad improvement in the physical environment over the last centuries necessitated the development of this field as an approach to understand disease etiology that incorporates social experiences as more direct determinant of health. Social epidemiology incorporates theories, measurement tools, and techniques from a wide variety of other social sciences. A population perspective, the social context of behavior, contextual multilevel analysis, a developmental and life-course perspective, and general susceptibility to disease are the most important guiding concepts in social epidemiology.

• Journal of the Korean Home Economics Association
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• v.42 no.10 s.200
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• pp.11-22
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• 2004

The purpose of this study was to examine the structure of financial risk components of households. The financial risk of households was assumed to be composed of risk knowledge, risk attitude and risk management behavior. For this study, a questionnaire was developed and distributed to 700 households in Seoul and Kwangju, and there were 495 responses with usable data. The findings showed that income stability had a positive relationship with the level of risk knowledge and risk attitude. Income stability, household debt, age of the youngest child and risk knowledge were found to have direct effects on risky vs. non-risky asset ratio. Income stability, savings, age of the youngest child and risk knowledge also had significant effects on the number of risky assets owned by households. Risk knowledge was the most important determinant of risk management behavior.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.780-787
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• 2007

The Information and Communication Technologies (ICT) sector is undergoing a fundamental transformation. Determinant factors in this transformation process are deregulations and technological advancements. From the value chain perspective, industry convergence plays the most crucial role in the transformation of the established telecommunications and media industries. The objective of this paper is to validate the impact of convergence on the business performance using empirical data. To identify the various effects driven by industry convergence, we analyzed the relationships between firm's degree of convergence and the business performance using regression analysis. From the empirical result with the 2002-2005 data, it was found that the convergence across ICT sectors improves the business performance measured by Tobin's q significantly and this is only a recent phenomenon. These results are consistent with the conjecture that higher degree of convergence is becoming more associated with higher market value.

• International Journal of Aeronautical and Space Sciences
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• v.13 no.3
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• pp.282-295
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• 2012

Fiber reinforced polymer matrix composites are widely used to provide protection against ballistic impact and blast events. There are several factors that govern the structural response and mechanical properties of a textile composite structure, of which the fiber-matrix interfacial behavior is a crucial determinant. This paper reviews the microbond or microdroplet test methodology that is used to characterize the fiber-matrix interfacial behavior, particularly the interface shear strength (IFSS). The various analytical, experimental, and numerical approaches applied to the microbond test are reviewed in detail.

• International Journal of Quality Innovation
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• v.4 no.1
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• pp.116-130
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• 2003

The gap-based SERVQUAL model is a popular service quality determinant due to its superior diagnostic capacity over alternative explanatory frameworks. However, some researchers criticize the performance of the SERVQUAL model and propose alternative service Quality measurement constructs. Nevertheless, it is argued that the superior diagnostic capacity of SERVQUAL is its key strength; and that any criticism made of it when making comparison with alternative models does not reflect the differing nature of scales of statistical analysis. Arguably, the only limitation of a gap-based model is misinterpretation of customers' evaluation and perception of a service. In this research, the gap score is transformed into a ratio score. Also, empirical tests and implications are presented to support this alternative contribution to the body of knowledge.