• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.350-361
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• 2014

The purpose of this study was to find general trends in dental fear among adolescences at 15-17 years of age, differences in levels of dental fear according to relevant variables, and the degrees to which those variables influence fear of dental treatment and their causal relationships. The researcher made use of a questionnaire including tools of questionnaire survey DFS, DBS and questions regarding characteristics of adolescences, and then analyzed covariate structure modeling by using LISREL 8.12 after conducting univariate analysis by employing SPSS. Cronbach's reliability coefficients showed higher in DFS(0.957), DBS(0.916), and GFS(0.910). The more recent experience in pain in the oral cavity and the stronger pain when treating dental disease and the more frequent experience in pain when treating dental disease and also the more broken dental appointments, the higher levels of dental fear showed with statistical significance. The linear structure equation model was statistically appropriate and well fit. By the model, severity and frequency of pain during treatment, experience of breaking dental visit appointment, distrust for dentists and general fear were directly influenced on dental fear.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.497-507
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• 2013

According to increasing smartphone users, Public mobile services is expanding across all areas, including education. We have to prepare NEIS(National Education Information System) student and parent service based on smartphone that provide information about student's school life for the smartphone users. Therefore, in this paper, we conducted an online questionnaire survey for student and parent. User's perception for existing services were analyzed by factors of content availability, service utilization, and user affinity. Reliability analysis of the collected data, the results of correlation analysis, and multiple regression analysis were found reliable. The user affinity factor have the most significant impact on user satisfaction and intention to user smartphone service. Consequently, the study stresses a measure of NEIS student and parent service based on smartphone and public education information service through the perception analysis of these.

• Journal of Biomedical Engineering Research
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• v.18 no.2
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• pp.157-166
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• 1997

Postural balancing in human is known to be maintained by the complex mechanism coupled with cerebellum, equilibrium organ of ear, proprioception and other various organs. We developed a Computerized Balance Evaluation and Training system(COBET system) to evaluate postural control and to rehabilitate geriatrics and disabled patient. In addition, 55 normal adult were tested to investigate the influencing factors on balancing posture. For the analysis of static postural sway, areas of the moving center of pressure were calculated under 8 different positions of subjects. And subjects were also asked to follow the visual targets on monitor for the evaluation of the dynamic postural sway. In comparison of the first and the second sets of tests, there was test-retest reliability($\textit{p}$< 0.05). The controllability of the static pmtwn sway was decreased as the ages of subjects increase. When the ages of subject are over 60, the controllability was significantly decrease4 The dynamic postural sway was significantly greater in the age groups of 7th and 8th decade than the younger groups. It is concluded that COBET system is a reliable system in the evaluation of postural sway. The COBET system is considered to be a valuable training modality for the disabled patients as well as the elderly.

• Journal of Aerospace System Engineering
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• v.12 no.5
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• pp.76-88
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• 2018

Space agencies such as NASA, ESA, and the US military provide guidelines and standards for PA(product assurance) requirements and plans. In recent years, major satellite manufacturers around the world have been mitigating PA requirements and processes by tailoring. PA tailoring has been implemented to improve the cost and schedule efficiency. PA tailoring can be accomplished based on various factors such as mission, classification of mission risk, complexity, development cost, life cycle, etc. In this study, PA tasks according to the mission risk classification proposed by NASA are investigated, and the tailoring method is suggested for the optimization of the development cost and schedule. In particular, the classification of mission risk for the satellites under development or operation in Korea is performed, and PA characteristics in accordance with mission risk are analyzed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.64-75
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• 2017

Previous count models using fixed parameter can not consider the unobserved heterogeneity, as the standard error of the count value is underestimated, excessive t-values are derived thereby reducing the reliability of the model. Also, the study of unsignalized intersections are inadequate because of the difficulty of collecting data and statistical limits for accurate analytical processes compared to the signalized intersections. The purpose of this study is to analyze the factors affecting traffic accidents by constructing the count model using random parameters, and it aimed to distinguish between existing studies based on the rural unsignalized intersections. As a result of the analysis, 7 variables were presented as significant variables, and 2 variables(presence of crosswalk, speed limit) were presented as random parameter.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.39-46
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• 2013

Cooperative spectrum sensing can improve sensing reliability, compared with single node spectrum sensing. In addition, Eigenvalue-based spectrum sensing has also drawn a great attention due to its performance improvement over the energy detection method in which the more smoothing factor, the better performance is achieved. However, the more smoothing factor in Eignevalue-based spectrum sensing requires the more sensing time. Furthermore, more reporting time in cooperative sensing will be required as the number of nodes increases. Subsequently, we in this paper propose an Eigenvalue and superposition-based spectrum sensing where the reporting time is utilized so as to increase the number of smoothing factors for autocorrelation calculation. Simulation result demonstrates that the proposed scheme has better detection probability in both local as well as global detection while requiring less sensing time as compared with conventional Eigenvalue-based detection scheme.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.315-320
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• 2020

This study is a study on the user experience of mobile Fintech service of the Z generation, and the past Finance was one of the industries that users felt difficult. However, the Z generation, who grew up in the digital environment, feels comfortable with mobile payment. This study is limited to Kakaopay and Toss, which are representative domestic Fintech services, and aims to suggest the direction of domestic Fintech services in the future. A total of 8 subjects were interviewed by the target group interview and the survey was conducted simultaneously. As a result of the study, Z generation was greatly influenced by various factors such as corporate brand, image, character, and event in addition to economic aspect. Also, it is considered most in the field of reliability and value, so a strategy is needed to secure it. In the future, we expect the development of Fintech service reflecting the needs of Z generation that will lead consumption in the future.

• Korean Journal of Child Studies
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• v.9 no.2
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• pp.1-28
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• 1988

The purpose of this study was to develop a behavior rating scale for the evaluation of children's development for utilization by preschool teachers. The procedures for the study included content validation, pilot test, and main study. A total of 97 items were retained after the content validation and pilot test. The items of the scale were grouped into five areas (physical, language, cognitive, emotional, and social development) and 11 sub-areas. The resulting "Behavior Rating Scale for Preschool Children" was administered to 479 boys and girls, 3-6 through 6-5 years of age, selected from 10 different kindergartens and early education centers in Seoul, Pusan, and Chonju. The analysis of data was done with SPSS computer programs, including item analysis, Cronbach's ${\alpha}$ for reliability, factor analysis to test construct validity, two-way ANOVA to test age and sex differences, and percentile norms. The 97 items of the scale were found to be satisfactory in terms of item discrimination with indices ranging from .31 to .73. Cronbach's ${\alpha}$ was .98 for the total scale and ranged from .87 to .93 in specific domains, which was considered satisfactory. The factors extracted from each area were consistent with the educational objectives of the Yonsei Open Education Program except for emotional development. The intercorrelations among the domains were relatively high, ranging from .56 to .81. Age differences were significant in cognitive, physical, and language development, but not significant in social and emotional development. Sex differences were significant in all areas with girls higher on the average than the boys. Percentile ranks were drived from the total score for each age group and quartiles were calculated for sub-scores in each domain.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.101-115
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• 2015

The purpose of the study was to investigate differences in self-esteem, appearance satisfaction, and clothing benefit pursuit among middle-aged consumer groups according to the gap between their subjective age and real age. For the study, the questionnaire was developed by the author and distributed to male and female consumers in their forties or fifties on september 1~10, 2014. A total of 470 questionnaires was collected and used for the final analysis. Data were analyzed by frequency analysis, reliability analysis, factor analysis, cluster analysis, ANOVA and Tukey's test, using the SPSS 18.0 Package Program. The findings were summarized as follows. The respondents were clustered in three groups including a group with younger subjective age than real age, a group with same subjective age group to real age, and a group with older subjective age group than real age, The younger subjective age group and same subjective age group showed greater self-esteem and appearance satisfaction than the other group. There were significant differences in four factors of clothing benefit pursuit including pursuit of fashion, pursuit of youth, pursuit of leisure, and pursuit of conformity among these three age groups. The younger subjective age group and same subjective age group showed greater importance on pursuit of fashion, pursuit of youth, and pursuit of leisure, whereas the older subjective age group did on pursuit of conformity.

• Human Ecology Research
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• v.51 no.4
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• pp.455-472
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• 2013

This paper's aim is to explore how China's country image affects the product evaluations and purchase intentions through three major hypothesize. Four hundred eighty-nine Korean adult consumers, who have the purchase experiences of goods made in China before, were invited to take part in this investigation. Data analyses were conducted by reliability test, confirmatory factor analysis and structural equation modeling with SPSS ver. 19.0 and AMOS ver. 18.0. This study focused on multi-dimensional country image and found that China's country image contains 5 elements (people, evolution, politic, economic and culture). Empirical verification through structural equation modeling indicates that the data offer substantial supports, such that China's country image represents the predominant influence on product evaluations and people, evolution, and politic image showed positive effects. Also, China's country image has a positive influence on the product purchase intentions directly (culture image) and indirectly (people, politics, and evolution image) through the product evaluations. Practical implications of findings will be discussed and suggested as follows. First, this study complements the lack of researches on China among the studies regarding country image. Secondly, research results would help us to understand the perception on China's country image of Korean consumers' and to seek the criteria by which consumers evaluate goods made in China. Finally, this research can help Chinese companies to make market strategies effectively when they entering Korean market by exploring the factors which have strong influences on Korean consumers' purchase behaviors.