• Transactions of Materials Processing
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• v.29 no.2
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• pp.89-96
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• 2020

The finite element method has been widely applied in the sheet metal forming process. However, the finite element method is computationally expensive and time consuming. In order to tackle this problem, surrogate modeling methods have been proposed. An artificial neural network (ANN) is one such surrogate model and has been well studied over the past decades. However, when it comes to ANN with two or more layers, so called deep neural networks (DNN), there is distinct a lack of research. We chose to use DNNs our surrogate model to predict the behavior of sheet metal in the deep drawing process. Thickness variation is selected as an output of the DNN in order to evaluate workpiece feasibility. Input variables of the DNN are radius of die, die corner and blank holder force. Finite element analysis was conducted to obtain data for surrogate model construction and testing. Sampling points were determined by full factorial, latin hyper cube and monte carlo methods. We investigated the performance of the DNN according to its structure, number of nodes and number of layers, then it was compared with a radial basis function surrogate model using various sampling methods and numbers. The results show that our DNN could be used as an efficient surrogate model for the deep drawing process.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.8
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• pp.1111-1121
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• 1998

The objectives of this study were to identify the dimensional structure of female impression formation based on ornaments and color of jacket, and to analyze the effect of ornaments, color of jacket, and perceiver's gender on impression formation. The experimental design was 3$\times$4$\times$2(ornaments$\times$color of jacket$\times$gender) factorial design by 3 independent variables. The stimuli of color photographs of female model and the semantic differential scale were used. Samples were 288 college males and females. The data were analyzed by factor analysis, ANOVA, duncan's multiple range test, and t-test. Four factors derived to account for the dimensions of impression formation. These were potency, elegance, evaluation, youthfulness, and feminine. Wearing of large ornaments(a necklace and earrings) had a negative effect on impression of elegance and positive on potency. Red jackets increased the impression of positive evaluation, potency, feminity, and youthfulness. On the jackets of achromatic color such as white and black, wearing of large ornaments increased the effect of potency, and large ornaments increased matured impression on black jacket. The results of this study mean that perceiverss used large ornaments and red jackets as a salient cue.

• Journal of Welding and Joining
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• v.35 no.2
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• pp.35-42
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• 2017

The GMA welding process involves large number of interdependent variables which may affect product quality, productivity and cost effectiveness. The relationships between process parameters for a vertical weldment and mechanical properties are complex because a number of process parameters are involved. To make the vertical-position welding, a method that predicts bead geometry and accomplishes the desired mechanical properties of the weldment should be developed. In addition, a reliable welding process and conditions must be implemented to reduce weld structure failure. In this study, the welding process analysis of investigates the interaction between the heat input and welding parameter(Welding current, Arc voltage, Welding speed) for predicting the weldment hardness.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.658-667
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• 2020

The purpose of this study was to develop the Servant Leadership Scale-Pastoral Version(SLS-P). In order to accomplish the purpose of this study, analyzed the relationships of Christian tradition and servant leadership, explored the rationale about servant leadership measurements and 366 of the Christians were sampled through the cluster sampling. The finding of the study were as follows: First, The characteristics of servant leadership analyzed in Bible traditions and Jesus model. Second, The factorial structure of PHS was extracted as 5 factors (sharing, serving, caring, humbling, leading) with 23 items. Third, The utilizations of this SLS-P expects to be evaluated to the servant leadership program in the pastoral setting.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.8
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• pp.611-616
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• 2016

Computational fluid dynamic simulation based on the ABAQUS software was conducted to observe the inside flow of slot-die nozzle. The slot-die nozzle was modeled as 3-dimensional structure and three significant parameters were determined: inlet velocity of fluid, reservoir angles, number of strips none of which have been mentioned previously in the literature. The design of experiment, full factorial analysis was performed within determined design and process levels. The simulation result shows the inlet fluid velocity is most significant factor for the flows of inside nozzle. As an interaction effect, reservoir angle is closely related with number of strip that should address when the nozzle is designed. Moreover, the optimized values of each determined parameter were obtained as 35 mm/s of inlet velocity, 3 of strip numbers, and $22^{\circ}$ of reservoir angles. Based on these parameters, the outlet velocity was obtained as 0.53% of outlet uniformity which is improved from 8.67% of nominal results.

• Safety and Health at Work
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• v.2 no.2
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• pp.194-200
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• 2011

Objectives: Stressors in nursing put high demands on cognitive control and, therefore, may increase the risk of cognitive failures that put patients at risk. Task-related stressors were expected to be positively associated with cognitive failure at work and job control was expected to be negatively associated with cognitive failure at work. Methods: Ninety-six registered nurses from 11 Swiss hospitals were investigated (89 women, 7 men, mean age = 36 years, standard deviation = 12 years, 80% supervisors, response rate 48%). A new German version of the Workplace Cognitive Failure Scale (WCFS) was employed to assess failure in memory function, failure in attention regulation, and failure in action exertion. In linear regression analyses, WCFS was related to work characteristics, neuroticism, and conscientiousness. Results: The German WCFS was valid and reliable. The factorial structure of the original WCF could be replicated. Multilevel regression task-related stressors and conscientiousness were significantly related to attention control and action exertion. Conclusion: The study sheds light on the association between job characteristics and work-related cognitive failure. These associations were unique, i.e. associations were shown even when individual differences in conscientiousness and neuroticism were controlled for. A job redesign in nursing should address task stressors.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.113-131
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• 2002

The relationships among multi-dimensional data (such as medical examination data) with ambiguity and variation are difficult to explore. The traditional approach to building a data classification system requires the formulation of rules by which the input data can be analyzed. The formulation of such rules is very difficult with large sets of input data. This paper first describes two classification approaches using back-propagation (BP) neural network and Mahalanobis distance (MD) classifier, and then proposes two classification approaches for multi-dimensional feature selection. The first one proposed is a feature selection procedure from the trained back-propagation (BP) neural network. The basic idea of this procedure is to compare the multiplication weights between input and hidden layer and hidden and output layer. In order to simplify the structure, only the multiplication weights of large absolute values are used. The second approach is Mahalanobis-Taguchi system (MTS) originally suggested by Dr. Taguchi. The MTS performs Taguchi's fractional factorial design based on the Mahalanobis distance as a performance metric. We combine the automatic thresholding with MD: it can deal with a reduced model, which is the focus of this paper In this work, two case studies will be used as examples to compare and discuss the complete and reduced models employing BP neural network and MD classifier. The implementation results show that proposed approaches are effective and powerful for the classification.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.4
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• pp.506-520
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• 2019

This study first investigates relationships among fashion consumer's positive emotion toward social value seeking activities (SVSA), enterprise image (EI), enterprise-perceived quality (EPQ), and purchase intention. Additionally, it demonstrates if the confirmed relationships are different in similar SVSA between social enterprise and cause-related marketing (CRM). An online experiment using a 2 (the implementation organization of social values: social enterprise vs CRM) ${\times}2$ (SVSA: support of vulnerable group vs environmental protection) factorial design was conducted to test the established hypotheses. Participants were randomly assigned to one of four conditions, and the collected data were analyzed using a partial least squares structure equation modeling (PLS-SEM) and partial least squares multi-group analysis (PLS-MGA). The results revealed that positive emotion toward SVSA directly influenced EI and purchase intention. EI and EPQ were identified as sequential mediators linking positive emotion toward SVSA and purchase intention. A finding for similarity in consumer response paths between social enterprises and CRM highlights that social enterprises need to develop a marketing strategy distinguished from CRM.

• Child Health Nursing Research
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• v.28 no.3
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• pp.218-229
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• 2022

Purpose: This study aimed to develop and examine the validity and reliability of a self-efficacy scale for preventive health management related to premature labor (PHMSE-PL) for women of childbearing age. Methods: Instrument development and validation were undertaken in three steps: conceptualization through a literature review and in-depth interviews, item generation and evaluation of content validity, and evaluation of construct validity and reliability. The content validity, factorial structure validity, and internal consistency reliability of the PHMSE-PL were evaluated, and cognitive interviewing was undertaken. Data were analyzed using confirmatory factor analyses, Cronbach's α, and 95% confidence intervals (CIs). Results: The content validity was assessed by experts and was strengthened through cognitive interviews with women of childbearing age. The PHMSE-PL comprised 34 items across five factors. The construct validity of the PHMSE-PL was supported. Cronbach's α for the total scale was .97 (95% CI=.96-.97). Conclusion: An evaluation of the psychometric properties of the PHMSE-PL scale found it to be a valid and reliable tool for women of childbearing age. The scale appears to be useful for women of childbearing age to self-assess their preventive health management self-efficacy related to premature labor and for health professionals to evaluate and promote women's preventive health management.

• Asian-Australasian Journal of Animal Sciences
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• v.27 no.11
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• pp.1548-1553
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• 2014

Four Korean native cattle (KNC) breeds-Hanwoo, Chikso, Heugu, and Jeju black-are entered in the Domestic Animal Diversity Information System of the United Nations Food and Agriculture Organization (FAO). The objective of this study was to assess the genetic diversity, phylogenetic relationships and population structure of these KNC breeds (n = 120) and exotic breeds (Holstein and Charolais, n = 56). Thirty microsatellite loci recommended by the International Society for Animal Genetics/FAO were genotyped. These genotypes were used to determine the allele frequencies, allelic richness, heterozygosity and polymorphism information content per locus and breed. Genetic diversity was lower in Heugu and Jeju black breeds. Phylogenetic analysis, Factorial Correspondence Analysis and genetic clustering grouped each breed in its own cluster, which supported the genetic uniqueness of the KNC breeds. These results will be useful for conservation and management of KNC breeds as animal genetic resources.