• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.44-50
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• 2024

This paper offers an overview of matrix formation and calculation techniques within the framework of General Linear Models (GLMs). It takes a sequential approach, beginning with a detailed exploration of matrix formation and calculation methods in regression analysis and univariate analysis of variance (ANOVA). Subsequently, it extends the discussion to cover multivariate analysis of variance (MANOVA). The primary objective of this study was to provide a clear and accessible explanation of the underlying matrices that play a crucial role in GLMs. Through linking, essentially different statistical methods, by fundamental principles and algebraic foundations that underpin the GLM estimation. Insights presented here aim to assist researchers, statisticians, and data analysts in enhancing their understanding of GLMs and their practical implementation in diverse research domains. This paper contributes to a better comprehension of the matrix-based techniques that can be extended to GLMs.

• Advances in nano research
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• v.16 no.2
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• pp.141-154
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• 2024

This study aims to develop explicit models to investigate thermo-mechanical interactions in moving nanobeams. These models aim to capture the small-scale effects that arise in continuous mechanical systems. Assumptions are made based on the Euler-Bernoulli beam concept and the fractional Zener beam-matter model. The viscoelastic material law can be formulated using the fractional Caputo derivative. The non-local Eringen model and the two-phase delayed heat transfer theory are also taken into account. By comparing the numerical results to those obtained using conventional heat transfer models, it becomes evident that non-localization, fractional derivatives and dual-phase delays influence the magnitude of thermally induced physical fields. The results validate the significant role of the damping coefficient in the system's stability, which is further dependent on the values of relaxation stiffness and fractional order.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.4_2
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• pp.1001-1007
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• 2024

Recent deep learning algorithms for object detection in real-time play a crucial role in various applications such as autonomous driving, traffic monitoring, health care, and water quality monitoring. The size of small objects, in particular, significantly impacts the accuracy of detection models. However, data containing small objects can lead to underfitting issues in models. Therefore, this study developed a deep learning model capable of quickly detecting small objects to provide more accurate predictions. The RE-SOD (Residual block based Small Object Detector) developed in this research enhances the detection performance for small objects by using RGB separation preprocessing and residual blocks. The model achieved an accuracy of 1.0 in image classification and an mAP50-95 score of 0.944 in object detection. The performance of this model was validated by comparing it with real-time detection models such as YOLOv5, YOLOv7, and YOLOv8.

• The Korean Journal of Health Service Management
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• v.6 no.3
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• pp.1-11
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• 2012

The purpose of this study is to identify the effects of emergency medical technicians' personal traits and job characteristics on job/social stress, job satisfaction, role conflicts, organizational commitment, and self-efficacy. The study population was emergency medical technicians who is working at the hospitals in Yeungnam province. The 200 questionnaires were administered by using ground mail, e-mail, and personal visits and 156 questionnaires were returned(82.5% response rate). Social stress, job satisfaction and role conflicts were significantly determined by personal traits and job characteristic variables. However, job stress, organizational commitment and self-efficacy was only significantly determined by job characteristic variables. In social stress and role conflicts, the subjects with challenge, sociability, acceptance and prudence traits were tend to be significantly higher scores compared to the stability traits. Additionally, among social stress regression models, adding job characteristics to the personal traits model, $R^2$ was increased up to 19% and adding personal traits to the job characteristics model, $R^2$ was increased up to 14%. In conclusion, the study found that personal traits and job characteristics are important variables in explaining social stress, job satisfaction and role conflicts, that would have important managerial implications for recruiting, hiring and managing either new or current emergency medical technicians efficiently.

• Journal of Distribution Science
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• v.18 no.10
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• pp.15-23
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• 2020

Purpose: Crowdfunding can be a complementary channel in which start-ups or small companies can obtain financial help and take advantage of exploiting the online potential. To activate crowdfunding, it is necessary to consider a consumer's empathic responses. This article examines the role of empathy in the crowdfunding channel platform. We adopted the identification-commitment model to prove the role of empathy. Research design, data, and methodology: Participants were asked to read the charitable crowdfunding campaign. More than 300 young adults completed an online questionnaire and we analyzed it with structural equation modeling (SEM). To find out the role of empathy, we postulate several models which use empathy variable for different purposes. Results: We conclude that empathy has the role of moderator in the identification-commitment model. This means the high empathic response helped the relationship between identification and commitment. However, low empathic response can negatively influence the process of identification to commitment. Conclusions: This study found that virtual empathy is positively related to crowdfunding participation if we can elevate empathy in the crowdfunding channel platform. The findings also show that we need to consider empathic response when we want to raise funds for specific projects such as protecting the natural environment.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.3
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• pp.31-43
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• 2011

This study investigates the differences in the purchasing behavior of infant & children's wear with the features of children and consumers. This study conducted a survey on female buyers of infant & children's wear. 558 questionnaires were analyzed by using SPSS 18.0 statistic program with factor analysis, Cronbach's ${\alpha}$, cluster analysis, ANOVA, and paired t-test. The results are as follows: 1. The buyer's value was identified with 3 factors: mental achievement value, social achievement value, and pleasure value. Three types of group by values were identified: group seeking mental social achievement, group seeking social achievement, and group seeking pleasure. 2. Fashion and conformity, pleasure pursuit, and reasonable price pursuit orientations showed significant differences among the value groups. 3. A significant difference was found in the imitation of wearing role models according to sibling relationships.

• Journal of KIBIM
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• v.5 no.1
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• pp.16-24
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• 2015

The kinetic façade system is an interactive building envelope which is adaptive to environmental condition by transforming the behaviour of its components. The design process of kinetic façade system calls for a novel approach. It needs to support designers to adopt technologies from multidisciplinary fields such as physical computing and robotics. In this paper, prototyping method is introduced as a useful technique for implementing kinetic façade systems. In order to incorporate prototyping method into architectural design process, two aspects are investigated in digital design studio: (1) The interactions between digital and analogue environments (2) The role of traditional design tools. Furthermore, the role of BIM is investigated by analyzing two aspects.

• Journal of the Korean Home Economics Association
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• v.34 no.2
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• pp.153-166
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• 1996

Mother's view and mediating behavior of paternal grandparents-grandchildren is explored by using data of 159 mothers who have children at teens. The analysis indicates as below. 1. Mothers highly except the roles of grandparents such as teaching values and family historians, role models for good life, influencing on the developing of self-identity of grandchildren. However mothers want grandparents keep distance from the lives of grandchildren. This may be double message to grandparents that they may find it uneasy to accomodate. 2. Grandchildren's role is expected very positively by mothers. 3. Mothers' mediating level of paternal grandparents-grandchildren relations is neutral and a little bit positive on the whole. Mothers' mediating behavior between grandfathers-grandchildren is associated with mothers' view on the importance of grandfathers in the lives of grandchildren and residence pattern. Mothers' mediating behavior between grandmothers-grandchildren is associated with mothers' view on the importance of grandmothers in the lives of grandchildren, grandchildren's role, the intimacy between mothers and grandmothers and residence pattern.

• Journal of Korean Library and Information Science Society
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• v.44 no.3
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• pp.235-259
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• 2013

The purpose of this study is to find out the factors that affect adolescents' reading effectiveness. This study suggested three things as factors that influence reading effectiveness and they are an attitude towards reading, reading role models(parents, teachers, peers), a library influence(library use, library visit, library psychology). This study also examined the correlation of reading effectiveness and the influence of reading education. As results, most suggested factors made significant differences in adolescents' reading attitude and a positive attitude towards public libraries also influenced greatly in students' reading effectiveness.

• Korean Journal of Child Studies
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• v.36 no.6
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• pp.1-21
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• 2015

This study was aimed at examining the paths through which family socioeconomic status as indicated by family income and parental education influenced preschool-aged children's socioemotional and cognitive development through the mediating role of parental warmth and the home learning environment. The study made use of data from 1,080 families who participated in the 5th wave of the Panel Study on Korean Children, when their children were approximately 4 years of age. Structural equation modeling analysis revealed that the models, including both parental warmth and the home learning environment did not fit the data well. The effects of warmth on social competence and cognitive development were not statistically significant. The modified models, using the home learning environment as a mediator between family SES and child's developmental outcomes showed that higher level of family income and parental education predicted a more cognitively stimulating home environment, which in turn, predicted a child's greater levels of social competence and positive cognitive development. The social competence of preschool-aged children again significantly predicted their cognitive development. The mediating effects of the home learning environment were statistically supported.