• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.4
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• pp.183-195
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• 2010

The purpose of this study is to find out the difference of evaluation of product and service quality according to consumers' attitude toward price in internet clothing purchase. This study surveyed 400 male and female consumers in their 20s-30s for empirical analysis in August 2010 who have ever purchased clothing through internet shopping malls. For statistical analysis, descriptive statistics, factor analysis, ANOVA analysis, Duncan test and cluster analysis are carried out using SPSS for Windows 12.0. The results are as follows. First, consumers' attitude toward price dimensions in internet clothing purchase are found 6 factors of sales proneness, price-prestige, price-comparison, low price, utility value and pricequality. Second, based on the attitude toward price dimensions, consumers are categorized into utility value seeking, sales price seeking, multi-dimension price seeking, lack price consciousness, low price seeking group. Third, there are significant differences in product quality and service quality depending on attitude toward price-based consumer types. In particular, sales price seeking and multi-dimension price seeking groups have higher values on product and service quality than other groups. The results of this study will help internet fashion mall businesses to develop price strategy and manage product and service quality.

• Journal of the Korean Home Economics Association
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• v.46 no.3
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• pp.57-71
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• 2008

The purpose of this study is 1) to develop and validate the BRQ construct perceived by brand loyal consumers, 2) to evaluate the predictive capacity of the individual BRQ dimension and brand relationship benefit on consumers' relationship intention, and 3) to identify the distinctive loyalty orientation based on the concept of BRQ. Questionnaire data from 379 brand loyal consumers on BRQ, brand relationship benefit, relationship intention, and their brand loyal behavior pattern were analyzed. The results showed that brand loyal consumers' BRQ composed of 3 dimensions including 'compensational bind', 'self attachment', and 'trust'. In addition, the mediating role of BRQ in predicting consumers' loyal relationship intention was validated using the structural equation model. Regarding the effect of each BRQ dimension on loyal relationship intention, consumers' intention to be loyal to an apparel brand was more explained by self attachment than the other dimensions. This study also intended to provide a useful direction to apparel brands in finding out which relationship quality type is more effective for differentiated marketing strategies by comparing the BRQ of single-brand loyal consumers and that of multi-brand loyal consumers.

• Korean Journal of Childcare and Education
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• v.18 no.1
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• pp.51-70
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• 2022

Objective: In order to promote the rights of childcare teachers, there is a need to identify problems and demands about the rights of childcare teachers. Therefore, this study sought to examine the perception of childcare teachers' rights in order to identify the concepts of teacher rights. Methods: This study used the concept mapping method to identify the concepts of childcare teachers' teacher rights and interpreted these concepts utilizing the multi-dimension analysis method. Results: As a result of interviews from eight childcare teachers, 37 statements were derived. The result of similarities evaluated by 28 childcare teachers showed that 37 statements about teachers' rights consisted of two dimensions and four clusters (direct-indirect and indoor-outdoor of day-care center). Conclusion/Implications: This study suggested that direct and indirect efforts are needed to enhance the rights of childcare teachers and that change is necessary not only within daycare centers such as the principal but that change is also necessary outside daycare centers such as at government agencies in relation to daycare teachers's rights.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.2
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• pp.9-22
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• 2004

This paper presents a parallel genetic algorithm for the Multi-disk data allocation problem an NP-complete problem. This problem is to find a method to distribute a Binary Cartesian Product File on disk-arrays to maximize parallel disk I/O accesses. A Sequential Genetic Algorithm(SGA), DAGA, has been proposed and showed the superiority to the other proposed methods, but it has been observed that DAGA consumes considerably lengthy simulation time. In this paper, a parallel version of DAGA(ParaDAGA) is proposed. The ParaDAGA is a 2-dimension torus-based Parallel Genetic Algorithm(PGA) and it is based on a distributed population structure. The ParaDAGA has been implemented on the parallel computer simulated on a single processor platform. Through the simulation, we study the impact of varying ParaDAGA parameters and compare the quality of solution derived by ParaDAGA and DAGA. Comparing the quality of solutions, ParaDAGA is superior to DAGA in all cases of configurations in less simulation time.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.439-448
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• 2006

Previous recognition/clustering algorithms such as Kohonen SOM(Self-Organizing Map), MLP(Multi-Layer Percecptron) and SVM(Support Vector Machine) might not adapt to unexpected input pattern. And it's recognition rate depends highly on the complexity of own training patterns. We could make up for and improve the weak points with lowering complexity of original problem without losing original characteristics. There are so many ways to lower complexity of the problem, and we chose a kernel concepts as an approach to do it. In this paper, using a kernel concepts, original data are mapped to hyper-dimension space which is near infinite dimension. Therefore, transferred data into the hyper-dimension are distributed spasely rather than originally distributed so as to guarantee the rate to be risen. Estimating ratio of recognition is based on a new similarity-probing and learning method that are proposed in this paper. Using CEDAR DB which data is written in cursive letters, 0 to 9, we compare a recognition/clustering performance of kSOM that is proposed in this paper with previous SOM.

• The Journal of the Acoustical Society of Korea
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• v.22 no.1
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• pp.35-41
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• 2003

Feature vectors for conventional speech recognition are usually extracted in full frequency band. Therefore, each sub-band contributes equally to final speech recognition results. In this paper, feature Teeters are extracted indepedently in each sub-band. The cepstral resolution of each sub-band feature is controlled for the optimal speech recognition. For this purpose, different dimension of each sub-band ceptral vectors are extracted based on the multi-band approach, which extracts feature vector independently for each sub-band. Speech recognition rates and clustering quality are suggested as the criteria for finding the optimal combination of sub-band Teeter dimension. In the connected digit recognition experiments using TIDIGITS database, the proposed method gave string accuracy of 99.125%, 99.775% percent correct, and 99.705% percent accuracy, which is 38%, 32% and 37% error rate reduction relative to baseline full-band feature vector, respectively.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.85-91
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• 2019

Present study notes that youth poverty is not only an income deficit, but also a deficit in various dimensions of life such as housing, work and health deficit. Multidimensional poverty is measured by four dimensions: income, work, housing and health. The sample is a 2630 one-person household female youth pooled from the Korea Welfare Panel 10-Year Data. The analysis tool used SPSS statistical program, and the analysis framework was the deficiency rate by dimension, the correlation analysis between deficiency dimension, and the overlapping rate of N dimension poverty. As a result, women's youth in Korea had higher deficit rate in terms of work and housing than other dimensions, and the proportion of women youth who were both poor in work and housing at the same time was also relatively higher than in other cases. Based on these results, this study proposes the construction of customized job services, job matching with small and medium-sized enterprises and allocation of one young woman's household among the targets of long-term chartered housing. Female youth's sharing-economy association should be considered as alternatives.

• Journal of The Korean Association For Science Education
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• v.20 no.4
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• pp.491-504
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• 2000

Recent research has shown that students' interest in learning physics is not a simple one. In this study the dimensions of students' interest in learning physics have been identified. These are the topic being taught, the activity in which the students are involved, and the motive of the students for learning physics. A Likert-style pilot questionnaire was constructed for identifying these dimensions and given to 13 year-old 162 students. A factor analysis of the results indicates that there are meaningful sub-dimensions in interest. In other words, while there were no specific sub-dimensions in topic dimension, motive dimension could be divided into intrinsic motive and extrinsic motive, and activity dimension could also be divided into receptive, experiential, high cognitive, and interactive activity.

• Journal of the Korean Society for Precision Engineering
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• v.27 no.4
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• pp.53-62
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• 2010

This study introduces about development of multi-DOF ultrasonic motor that are composed of a bar-shaped stator and a spherical rotor. The ultrasonic motor is a motor which is operated by vibrations over frequency of 20kHz. The multi-DOF ultrasonic motor will be developed by expanding the basic theory of existing 1-DOF ultrasonic motor. It can generate 3-DOF rotation of the rotor around perpendicular axes using 3 vibration modes of stator. By using finite element methods, the optimal dimension of stator is decided and made the components of stator. When we apply the multi-DOF ultrasonic motor composed of rotor and stator to the driving test system, it will be checked whether the motor can be driven at the direction of 3-DOF or not. And it is proposed how the simulation of square bar shaped multi-DOF ultrasonic motor is accomplished.

• Tribology and Lubricants
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• v.33 no.6
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• pp.303-308
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• 2017

Most automobile tire companies have not yet considered the geometric information of a road at the design stage of a tire because the topographical characterization of a road surface is very difficult owing to its vastness and randomness. A road surface shows variable surface roughness values according to magnification, and thus, the contact force between the road and tire significantly fluctuates with respect to the scale. In this study, we make an attempt to define a representative value for surface topographical information at multi-scale levels. To represent surface topography, we use a statistical method called power spectral density (PSD). We use the fast Fourier transform (FFT) and PSD to analyze the height profiles of a random surface. The FFT and PSD of a surface help in obtaining a fractal dimension, which is a representative value of surface topography at all length scales. We develop three surfaces with different fractal dimensions. We use finite element analysis (FEA) to observe the contact forces between a tire and the road surfaces with three different fractal dimensions. The results from FEA reveal that an increase in the fractal dimension decreases the contact length between the tire and road surfaces. On the contrary, the average contact force increases. This result indicates that designing and manufacturing a tire considering the fractal dimension of a road makes safe driving possible, owing to the improvement in service life and braking performance of the tire.