• Communications for Statistical Applications and Methods
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• 제25권6호
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• pp.619-631
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• 2018

Functional data analysis continues to attract interest because advances in technology across many fields have increasingly permitted measurements to be made from continuous processes on a discretized scale. Particulate matter is among the most harmful air pollutants affecting public health and the environment, and levels of PM10 (particles less than 10 micrometers in diameter) for regions of California remain among the highest in the United States. The relatively high frequency of particulate matter sampling enables us to regard the data as functional data. In this work, we investigate the dominant modes of variation of PM10 using functional data analysis methodologies. Our analysis provides insight into the underlying data structure of PM10, and it captures the size and temporal variation of this underlying data structure. In addition, our study shows that certain aspects of size and temporal variation of the underlying PM10 structure are associated with changes in large-scale climate indices that quantify variations of sea surface temperature and atmospheric circulation patterns.

• 한국정밀공학회지
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• 제24권3호
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• pp.108-116
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• 2007

To overcome many defects such as the high product cost, large energy consumption, and big space capacity in conventional mechanical machining, the miniaturization of machine tool and micro factory systems has been envisioned recently. The object of this paper is to research the effect of dynamic characteristic parameters in bolted-joint beams, which is widely applied to the joining of mechanical structures in order to identify structural system characteristics and to predict dynamic behavior according to scale-down from macro to micro system as the development of micro/meso-scale machine tool and micro factories. Modal parameters such as the natural frequency, damping ratio, and mode shape from modal testing and dynamic characteristics from finite element analysis are extracted with all 12 test beam models by materials, by size, and by joining condition, and then the results obtained by both methods are compared.

• 여성건강간호학회지
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• 제11권1호
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• pp.20-26
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• 2005

Purpose: The purpose of this study was to understand self confidence during delivery in laboring women and to identify the factors influencing self confidence for delivery. Method: The participants of the study were 166 women who were admitted to a delivery room at C hospital in Seoul from July 1 to October 31, 2002. Data was collected using a structured questionnaire, self confidence scale, anxiety scale, knowledge of childbirth scale and graphic rating scale. The data was analyzed by the SPSS PC+ program. For the analysis of collected data, frequency analysis, Pearson's correlation, multiple linear regression analysis and stepwise selection method was used. Result: Self confidence during delivery had negative correlation coefficients with anxiety, and positive correlation coefficients with endurance of pain, husband support during pregnancy, age and parity. Anxiety was the highest factor influencing self confidence for delivery(40.0%). Endurance of pain, husband support during pregnancy and age accounted for 49.0% of self confidence in laboring women. Conclusion: The factors influencing self confidence during delivery were anxiety, endurance to pain, husband support during pregnancy and age. Further studies need to be done to identify interventions for overcoming on anxiety, promoting endurance of pain, and increasing husband support during pregnancy.

• Structural Engineering and Mechanics
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• 제63권2호
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• pp.161-169
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• 2017

In this paper, using consistent couple stress theory and Hamilton's principle, the free vibration analysis of Euler-Bernoulli nano-beams made of bi-directional functionally graded materials (BDFGMs) with small scale effects are investigated. To the best of the researchers' knowledge, in the literature, there is no study carried out into consistent couple-stress theory for free vibration analysis of BDFGM nanostructures with arbitrary functions. In addition, in order to obtain small scale effects, the consistent couple-stress theory is also applied. These models can degenerate into the classical models if the material length scale parameter is taken to be zero. In this theory, the couple-tensor is skew-symmetric by adopting the skew-symmetric part of the rotation gradients as the curvature tensor. The material properties except Poisson's ratio are assumed to be graded in both axial and thickness directions, which it can vary according to an arbitrary function. The governing equations are obtained using the concept of Hamilton principle. Generalized differential quadrature method (GDQM) is used to solve the governing equations for various boundary conditions to obtain the natural frequencies of BDFG nano-beam. At the end, some numerical results are presented to study the effects of material length scale parameter, and inhomogeneity constant on natural frequency.

• Structural Engineering and Mechanics
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• 제73권4호
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• pp.397-405
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• 2020

In this study size optimization of large-scale dome structures with dynamic constraints is presented. In the optimal design of these structure, the Jaya algorithm is used to find minimal size of design variables. The design variables are the cross-sectional areas of the steel truss bar elements. To take into account the constraints which are the first five natural frequencies of the structures, the finite element analysis is coded in Matlab programs using eigen values of the stiffness matrix of the dome structures. The Jaya algorithm and the finite elements codes are combined by the help of the Matlab - GUI (Graphical User Interface) programming to carry out the optimization process for the dome structures. To show the efficiency and the advances of the Jaya algorithm, 1180 bar dome structure and the 1410 bar dome structure were tested by taking into the frequency constraints. The optimal results obtained by the proposed algorithm are compared with those given in the literature to demonstrate the performance of the Jaya algorithm. At the end of the study, it is concluded that the proposed algorithm can be effectively used in the optimal design of large-scale dome structures.

• 한국치위생학회지
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• 제23권5호
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• pp.369-377
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• 2023

Objectives: The aim of this study was to develop and validate a Korean-adapted version of the job expectations scale for dental hygienists. Methods: To achieve this goal, a comprehensive methodology was employed, including frequency analysis, exploratory factor analysis (maximum likelihood, direct oblimin rotation), confirmatory factor analysis, Cronbach's α reliability, independent t-test, and one-way ANOVA (Duncan post-hoc test) were performed. Results: The Korean version of job expectations scale for dental hygienists comprised 21 items in the personal domain and 5 items in the social domain. The scale demonstrated high construct validity, convergent validity, discriminant validity, and reliability were found. While dental hygienists were found to have higher expectations in the their personal domain than the social domain, expectations in the social domain were higher among male hygienists, those with a bachelor's degree or higher, those in regular permanent employment, and those working in hospital-level or higher facilities. Conclusions: Job expectations is a more comprehensive construct than job roles or professional identity. We anticipate that the instrument will be widely used to analyze trends in job expectations in response to changes in societal values regarding to dental hygienists, the gap between realities and ideals within the dental hygiene profession, and policy considerations.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제5권3호
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• pp.76-85
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• 2024

The purpose of this study is to propose a new method of analysis focusing on interconnections between species rather than traditional biodiversity analysis, which represents ecosystems in terms of species and individual counts such as species diversity and species richness. This new approach aims to enhance our understanding of ecosystem networks. Utilizing data from the 4th National Natural Environment Survey (2014-2018), the following eight taxonomic groups were targeted for our study: herbaceous plants, woody plants, butterflies, Passeriformes birds, mammals, reptiles & amphibians, freshwater fishes, and benthonic macroinvertebrates. A co-occurrence frequency analysis was conducted using nationwide data collected over five years. As a result, in all eight taxonomic groups, the degree value represented by a linear regression trend line showed a slope of 0.8 and the weighted degree value showed an exponential nonlinear curve trend line with a coefficient of determination (R²) exceeding 0.95. The average value of the clustering coefficient was also around 0.8, reminiscent of well-known social phenomena. Creating a combination set from the species list grouped by temporal information such as survey date and spatial information such as coordinates or grids is an easy approach to discern species distributed regionally and locally. Particularly, grouping by species or taxonomic groups to produce data such as co-occurrence frequency between survey points could allow us to discover spatial similarities based on species present. This analysis could overcome limitations of species data. Since there are no restrictions on time or space, data collected over a short period in a small area and long-term national-scale data can be analyzed through appropriate grouping. The co-occurrence frequency analysis enables us to measure how many species are associated with a single species and the frequency of associations among each species, which will greatly help us understand ecosystems that seem too complex to comprehend. Such connectivity data and graphs generated by the co-occurrence frequency analysis of species are expected to provide a wealth of information and insights not only to researchers, but also to those who observe, manage, and live within ecosystems.

• Journal of Power Electronics
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• 제8권3호
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• pp.239-247
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• 2008

This paper presents the design of 1 kW prototype high frequency link boost half bridge inverter-fed DC-DC power converters with bridge voltage-doublers suitable for small scale PEM fuel cell systems and associated control schemes. The operation principle of this converter is described using fuel cell modeling and some operating waveforms. The switching mode equivalent circuits are based on simulation results and a detailed circuit operation analysis at soft-switching conditions.

• Human Ecology Research
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• 제51권3호
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• pp.321-331
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• 2013

The purpose of this study is to develop the scale to measure family health and to analyze the data collected by the survey in order to develop the educational program for healthy family. The sample of this study is taken by 522 housewives who are living in Seoul and are over the age of 40. The data are analyzed according to frequency, percentages, t-test, Pearson's correlation analysis, and Multinomial logistic Regression analysis. The results of this study are as follows. First, the scale measuring family health is developed through interviews with the respondents, preliminary survey, and comments reviewed from specialists. The responses to the scale are significantly different depending on whether they answered their family is healthy or not. Second, minimum family performances for family health are related to the category of social involvement of the family. Third, the types of healthy family are grouped by the responses related to the current state and the status of family health. The number of the type of the worst state-the worst status of family health is the largest, followed by the number of the type of the best state-the best status of family health. Fourth, the important and significant variables that affected the types of family health are psychological variables rather than personal and household-related variables of the respondents.

• 대한기계학회논문집A
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• 제26권11호
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• pp.2270-2276
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• 2002

Dynamic stability of a rotary oscillating cantilever beam is presented in this study. Using the stretch deformation instead of the conventional axial deformation, three linear partial differential equations are derived from Hamilton's principle and transformed into dimensionless forms. Stability diagrams of the first order approximate solutions are obtained by using the multiple scale perturbation method. The stability diagrams show that relatively large unstable regions exist near the combination of the first chordwise bending natural frequency and the first stretch natural frequency. This result is verified by using the generalized -$\alpha$ method.