• Steel and Composite Structures
• /
• v.23 no.1
• /
• pp.31-40
• /
• 2017

This article aims at presenting multi objective optimization of parameters that affect crashworthiness characteristics of bi-tubular structures using Taguchi method with grey relational analysis. To design the experiments, the $L_9$ orthogonal array has been used and based on that, the inner tubes have been fabricated by varying the three influence factors such as reference diameter, length difference and numbers of sides of the polygon with three levels, but all the outer cylinders have the same diameter and length 90 mm and 135 mm respectively. Then, the tailor made bi-tubular steel structures were subjected into quasi static axial compression. From the test results it is found that the crushing behaviors of bi-tubular structures with different combinations were fairly significant. The important responses (crashworthiness indicators) specific energy absorption and crush force efficiency have been evaluated from load - displacement curve. Finally optimal levels of parameters were identified using grey relational analysis, and significance of parameters was determined by analysis of variance. The optimum crashworthiness parameters are reference diameter 80 mm, length difference 0 mm and number of sides of polygon is 3, i.e., triangle within the selected nine bi-tube combinations.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.17 no.1
• /
• pp.75-84
• /
• 2021

For analyzing big data, the social network is increasingly being utilized through relational data, which means the connection characteristics between entities such as people and objects. When the relational data does not exist directly, a social network can be configured by calculating relational data such as attribute similarity from attribute data of entities and using it as links. In this paper, the composition method of the social network using the attribute similarity between entities as a connection relationship, and the clustering method using subgroups for the configured social network are suggested, and the clustering effectiveness of the clustering results is evaluated. The analysis results can vary depending on the type and characteristics of the data to be analyzed, the type of attribute similarity selected, and the criterion value. In addition, the clustering effectiveness may not be consistent depending on the its evaluation method. Therefore, selections and experiments are necessary for better analysis results. Since the analysis results may be different depending on the type and characteristics of the analysis target, options for clustering, etc., there is a limitation. In addition, for performance evaluation of clustering, a study is needed to compare the method of this paper with the conventional method such as k-means.

• Journal of Digital Convergence
• /
• v.12 no.1
• /
• pp.241-251
• /
• 2014

Mobile messenger services (MMSs), such as Kakaotalk, Wetalk, Line, and Whatsapp, are gaining popularity worldwide because of communicating with other people without any cost. We examined key antecedents of user loyalty to understand user's decision-making process in the MMS environment. To capture a long-term relationship with service providers, we posit relational commitment and user satisfaction as key predictors of user loyalty. Moreover, the effects of perceived usefulness, perceived enjoyment, and corporate image on user's decision-making processes were examined. The proposed model was tested by applying partial least squares to data from 220 experienced Kakaotalk users. The findings of this study found that both relational commitment and user satisfaction play an important role in enhancing user loyalty in the MMS context. The analysis results indicate that corporate image influences relational commitment and user loyalty through user satisfaction. The analysis results help MMS providers establish management or marketing strategies to effectively improve user loyalty.

• Journal of Families and Better Life
• /
• v.20 no.2
• /
• pp.9-20
• /
• 2002

This study examined different individual and environmental factors that affect children's experience of harassment from their peers. For the individual variables, gender, behavioral problems, and self-esteem were included in the anal)'sis. For the family variables, mother's parenting style and the socio-economic status of parents were examined, and for the school variables, the supervision of the teacher and the attitudes of the classmates toward bullying were used. Two forms of peer harassment, the overt form and the relational form were examined in this study. The sample consisted of 520 fifth grade children. Statistics and methods used for the data analysis were Cronbach's alpha, factor analysis, frequency, percentage, means, standard deviation, Pearson's correlation, and multiple regression. Several major relationships were found from the analyses. First, the more the children tend to internalize behavioral problems and have lower self-esteem, the more likely they are to get victimized by overt and relational forms of harassment. Boys experience more overt harassment than girls. Second, the more the mother's parenting style is permissive-nonintervening, or rejecting-restricting, and the higher the father's social status is, the more likely the child is subjected to overt and relational forms of harassment. Third, the more the children feel that the teacher is paying attention to bullying, the less the children are subjected to the overt form of peer harassment. Fourth, children's internalizing behavioral problems, mother's permissiveness-nonintervention, children's self-esteem, children's gender, and the supervision of the teacher regarding bullying significantly affected the experience of overt forms of harassment. A twenty two percent variance in the victimization of an overt form was explained by those variables. Children's internalizing behavioral problems, mother's permissiveness-nonintervention, children's self-esteem, and mother's rejection-restriction significantly affected the experience of relational form of peers harassment. Twenty six percent of the variance in the relational form of victimization was explained by those variables.

• Human Ecology Research
• /
• v.52 no.5
• /
• pp.529-539
• /
• 2014

The purpose of this study was to analyze the effects of the teacher-child relationship and child's perception of the psychological control of teachers on a child's aggression. A total of 216 4th graders from Dongjak-gu and Gwanak-gu, Seoul, participated in this study. A multiple regression analysis and Pearson's correlation analysis were performed using the SPSS ver. 18.0 program. The results were as follows: first, there was a meaningful relationship between a teacher-child relationship, the teacher's psychological control and the child's aggression. Second, closeness between the teacher and the child could reduce the child's overt and relational aggression, while conflicts between the teacher and the child could increase the child's overt, relational, and overall aggression. The teacher's blame, limit of the child's self-expression, and guilt induction could increase the child's overt aggression. Further, the teacher's withdrawal of affection, emotional disapproval, blame, and limit of self-expression could increase the child's relational aggression. In particular, the teacher's blame appeared to influence both the child's overt aggression and the child's overall aggression, and the teacher's withdrawal of affection appeared to influence the child's relational aggression. These results suggest that the relationship between a teacher and a child is a matter of mutual contribution. In other words, the better the teacher-student relationship is, the greater is the decrease in the child's aggression. This study provides the basic data for the development of an aggression prevention program for elementary school children.

• Human Ecology Research
• /
• v.58 no.1
• /
• pp.75-86
• /
• 2020

This study examined the mediating effect of intimate partner violence (IPV) between alcohol use and relational satisfaction by the Actor Partner Interdependence Model (APIM). For this study, data were drawn from the 13^th-wave Korea Welfare Panel data and a total of 2,263 married couples were included in the analysis. SPSS 25.0 and AMOS 24 were used to analyze data and the Actor Partner Interdependence Mediation Model (APIMeM) examined the mediating effect. The results of this study are summarized as follows. First, the actor effect and the partner effect on the relationship of alcohol use and partner violence were all verified to be positive effects. Second, the actor effect and the partner effect on the relationship of partner violence and relational satisfaction were all verified to be negative effects. Third, comparison of the actor effect and partner effect between the husband and wife showed that the partner effect in which alcohol use to partner violence was greater in the husband than in the wife. In addition, both the actor and partner effect of violent reducing their relational satisfaction were greater in wives than in husbands. The findings of this study suggest that IPV has a mediating role between couples' alcohol use and the relational satisfaction and husband's violent behavior has more negative effect on the quality of the relationship than the wife's violent behavior.

• Journal of Internet of Things and Convergence
• /
• v.6 no.4
• /
• pp.73-79
• /
• 2020

In order to verify the effectiveness of the tea culture treatment program to mitigate the relative aggressiveness, the research will target 10 women aged 70 or older who use the P City-based Senior Citizens' Day Care Center to apply the tea culture treatment program to alleviate the relative aggressiveness of the elderly and examine its effects. As a result of the analysis, the score of reactive relational aggressiveness and leading relational aggression is 0.21 lower than the pre-exam average, indicating that the leading relational aggression of the elderly who participated in the tea culture therapy program is reduced than before the program. Based on these analysis results, practical suggestions were made for alleviating aggression among senior citizens using the Center for the Elderly.

• Journal of Fashion Business
• /
• v.27 no.1
• /
• pp.50-60
• /
• 2023

The purpose of this study was to understand the factors with consumers' fashion experiential store experiences and investigate the effect on flow and brand attitude. The study also aimed to investigate whether gender moderated the relationship between consumers' fashion experiential store experiences and flow. An online survey of consumers in their 20s and 40s was conducted. The SPSS 27.0 program was used to perform frequency, factor, and reliability analysis. The structural equation model was analyzed using the SMART-PLS program. The structural model analysis confirmed that consumers' rational, physical, and relational experiences in fashion brand experiential stores strongly influenced flow and found that relational experience had the strongest influence on flow. The influence of rational, physical, and relational experiences and flow on brand attitude was confirmed, where flow had the strongest effect on brand attitude. The examination of the moderating effect of gender on the relationship between consumers' fashion experiential store experiences and flow found that the effect in men was significant for flow and brand attitude through rational experience and that the effect in women was significant for flow and brand attitude through relational experience. These results provide academic implications, and by strengthening consumer flow, we intend to propose the establishment of a marketing strategy and opportunity plan that can elicit a positive brand attitude.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.9
• /
• pp.647-654
• /
• 2016

In the defense industry, national security takes priority over economic sense and this has translated into high cost and long-term research and development. However, the exponential growth of technology and rapid changes in the security situation in recent years have resulted in a call for the development of systems at a low cost within a short period of time. In order to implement a modularization strategy in the field of defense, the introduction of line replaceable units in OO systems needs to be prioritized. This study selects six criteria following a literature review and prioritizes 11 modules for OO systems using the project evaluation method, Grey Relational Analysis (GRA). Based on the GRA results, the grey relational grades were derived as 0.83, 0.81 and 0.80 for the M11 (Main board), M8 (EMI module), M3 (Single board computer) modules, respectively. The cost and time of development is expected to be reduced in accordance with the grey relational grade. The results of this research could be utilized for decision making on adopting modularization in similar system development or product improvement programs (PIPs).

• The Journal of the Korea Contents Association
• /
• v.12 no.4
• /
• pp.76-85
• /
• 2012

Through opinion mining, we can analyze the degree of positive or negative sentiments that customers feel about important entities or attributes in online customer reviews. But, the limit of the opinion mining techniques is to provide only simple functions in analyzing the reviews. In this paper, we proposed novel techniques that can analyze the online customer reviews multi-dimensionally. The novel technique is to modify the existing OLAP techniques so that they can be applied to text data. The novel technique, that is, multi-dimensional analytic model consists of noun, adjective and document axes which are converted into four relational tables in relational database. The multi-dimensional analysis model would be new framework which can converge the existing opinion mining, information summarization and clustering algorithms. In this paper, we implemented the multi-dimensional analysis model and algorithms. we recognized that the system would enable us to analyze the online customer reviews more complexly.