• IE interfaces
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• v.20 no.4
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• pp.438-447
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• 2007

This paper presents an aspect-oriented approach to simulation design and analysis in system design phase for integrated logistics system simulation. The integrated logistics system composed of AS/RS (Automated Storages and Retrieval System), AGVs (Automated Guided Vehicle System), STVs (Sorting Transfer Vehicle System) and Conveyor System is designed by using the aspect-oriented approach and UML (Unified Modeling Language). The multi-factorial design of experiments and regression analysis are used for design parameters of the system and Evolution Strategies is used to verify each parameter. Aspect-oriented approach for the integrated logistics system simulation shows the advantages of code reusability, extendible, modulation, easy improvement and a better design technique.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.3
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• pp.833-840
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• 2015

This study tries to suggest de-stressing methods for Korean maritime pilots by exploring the components of Job Stress, and investigating relationship between Job Stress and Job Satisfaction. The factor analysis to find out factors influencing Job Stress and multi-variate regression analysis to reveal the relationship between Job Stress and Job Satisfaction were used, and the sample collected by questionnaire survey consisted of 81 Korean maritime pilots. Finally, analysis results of this study provide that 1) peer-relation conflict(IC), Emotional Labour(EL), Responsibility of Decision Making and psychological job demand as variables of maritime pilots' Job Stress are represented, and 2) peer-relation conflict and Responsibility of Decision Making are negatively related with Job Satisfactions.

• Journal of the Korean Graphic Arts Communication Society
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• v.30 no.2
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• pp.47-58
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• 2012

The purpose of this study is to provide how various elements of package design affect on consumer response. Those consumers who is living at Sung-nam district and who is using or have used herbal shampoo were selected as respondents for this research. For testing hypotheses. frequency analysis, reliability analysis, and multi regression analysis were utilized with SPSS 12. All elements of package design influenced on brand attitude and purchasing intention. Typography is the most effective element influencing on brand attitude, while illustration is on purchasing intention. This result could be a useful reference for package designer and brand manager to trigger positive brand attitude and purchasing intention.

• Structural Engineering and Mechanics
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• v.71 no.4
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• pp.377-390
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• 2019

A method for estimating the floor response spectra (FRS) of elastic structures under earthquake excitations is proposed. The method is established based on a previously proposed direct estimation method for single degree of freedom systems, which generally overestimates the FRS of a structure, particularly in the resonance period range. A modification factor is introduced to modify the original method; the modification factor is expressed as a function of the period ratio and is determined through regression analysis on time history analysis results. Both real and artificial ground motions are considered in the analysis, and it is found that the modification factors obtained from the real and artificial ground motions are significantly different. This suggests that the effect of ground motion should be considered in the estimation of FRS. The modified FRS estimation method is further applied to a 10-story building structure, and it is verified that the proposed method can lead to a good estimation of FRS of multi-story buildings.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.237-254
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• 2020

Housing vacancies have become a major issue in urban areas, there have been many efforts to address this issue at the national and local levels. The purpose of this paper is to investigate the factors contributing to housing vacancies in old town Incheon in South Korea. In particular, the research focuses on examining the effects of multiple levels of factors on housing vacancies in a comprehensive way; the three levels of factors were identified with a literature review including housing (Level 1), Neighborhood (Level 2), and Region (Level 3). A multi-level logistic regression model was used to examine the relationship between 13 factors in three spatial levels and housing vacancies. As a result, the factors in all three levels were able to explain housing vacancies including site area and shape, proximity to major roads (Level 1), ratio of houses in designated urban renewal area and slope (Level 2), and ratio of the elderly living alone, land price, changes in land price and ratio of new houses (Level 3). These results show that the combination of the physical inferiority of the housing site and the neighborhood environment and the economic and social vulnerability of the region is likely to increases the number of vacant houses. This study also suggested that a multi-dimensional policy strategy is needed to solve the problem of housing vacancies, and urban policies, such as supplying new housing or urban renewal area designation, should be carefully implemented in a way not to create housing vacancies.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1164-1179
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• 2009

This study presented the characteristics of a mobile fashion shopping mall as perceived by those in charge of fashion brands, clarified the effect of the characteristics on the intention 'Of introduction, and indicated the differences in the intention of introduction according to the characteristics of brands. This study surveyed individuals in charge of fashion & clothing brands. It utilized SPSS 12.0 program for data analysis and performed frequency analysis, validity analysis, reliability analysis, multi regression analysis, ANOVA, and hierarchical adjustment regression analysis. A summary of the results of this study are as follows: First, the results of the factor analysis are shown to clarify the characteristics of mobile fashion shopping mall; four factors such as facility/usefulness, instant accessibility, personalization, and playfulness were also represented. Second, it showed that facility/usefulness, instant accessibility and personalization generate a positive influence on the intention of introduction. Of the factors, facility/usefulness displayed the highest influence. Third, regarding the effect of the characteristics of a mobile fashion shopping mall on the intention of introduction according to the characteristics of brands (in the case of women's wear) the intention of introduction is strong as instant accessibility and facility/usefulness is highly recognized. Lastly, there is a difference in the intention of introduction according to the characteristics of brands. According to items, casual wear shows the highest intention of introduction as followed by women's wear and sportswear. According to age, brands targeting a 24-29 year old group show a higher intention. Companies with average sales of 50 billion won to 750 billion won (or more) for three years showed a high intention. In addition, the possibility of introduction as a new distribution line was investigated.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.139-149
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• 2014

This paper aims to examine the moderate effects of LMX on the relationships between appraisal justice and organization commitment. Additionally, This study is to identify the influences of appraisal justice on the organization commitment in the organization. To accomplish these purposes, the main factors of the appraisal justice such as distributive justice, procedural justice and interactional justice were found from the previous studies. This study used the statistical techniques such as descriptive analysis, reliability analysis, discriminant analysis, factor analysis, correlation analysis, multi regression analysis, and hierarchical regression analysis. The following are the summary of hypothesis test: First, all three justice factors are essential to enhance the level of organizational commitment in appraisal about employee of enterprises. Second, interactional justice among factors of appraisal justice have differential influence on organization commitment by LMX.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.835-841
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• 2018

In this study, we analyzed public health data analysis using the hadoop-based spack in the cloud environment using the data of the Community Health Survey from 2012 to 2014, and the factors affecting the quality of life and quality of life. In the proposed paper, we constructed a cloud manager for parallel processing support using Hadoop - based Spack for open medical big data analysis. And we analyzed the factors affecting the "quality of life" of the individual among open medical big data quickly without restriction of hardware. The effects of public health data on health - related quality of life were classified into personal characteristics and community characteristics. And multiple-level regression analysis (ANOVA, t-test). As a result of the experiment, the factors affecting the quality of life were 73.8 points for men and 70.0 points for women, indicating that men had higher health - related quality of life than women.

• Geomechanics and Engineering
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• v.23 no.1
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• pp.61-69
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• 2020

The uniaxial compressive strength (UCS) of rock is a basic parameter in underground engineering design. The disadvantages of this commonly employed laboratory testing method are untimely testing, difficulty in performing core testing of broken rock mass and long and complicated onsite testing processes. Therefore, the development of a fast and simple in situ rock UCS testing method for field use is urgent. In this study, a multi-function digital rock drilling and testing system and a digital core bit dedicated to the system are independently developed and employed in digital drilling tests on rock specimens with different strengths. The energy analysis is performed during rock cutting to estimate the energy consumed by the drill bit to remove a unit volume of rock. Two quantitative relationship models of energy analysis-based core drilling parameters (ECD) and rock UCS (ECD-UCS models) are established in this manuscript by the methods of regression analysis and support vector machine (SVM). The predictive abilities of the two models are comparatively analysed. The results show that the mean value of relative difference between the predicted rock UCS values and the UCS values measured by the laboratory uniaxial compression test in the prediction set are 3.76 MPa and 4.30 MPa, respectively, and the standard deviations are 2.08 MPa and 4.14 MPa, respectively. The regression analysis-based ECD-UCS model has a more stable predictive ability. The energy analysis-based rock drilling method for the prediction of UCS is proposed. This method realized the quick and convenient in situ test of rock UCS.

• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.355-363
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• 2005

The adjectives for represnting emotions is important to evaluate and select the colors or color patterns. In this paper, we perform the MDS analysis, factor analysis, and cluster analysis to the Soen's experimental data obtained from the evaluation of random color patterns with 13 adjective pairs. As a result, those adjectives can be reduced 3 different factors representing emotions of weight, activity and temperature, which is approximately corresponds the results of previous researches on single colors. Also, we show that the adjectives for preference can be approximate4 by other primary adjectives for color patterns using regression analysis. This implies that one can construct a uniform emotion space for evaluating and selecting color patterns regardless of objects such as wall papers, carpets, and so on.