• Journal of Distribution Science
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• v.17 no.8
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• pp.45-56
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• 2019

Purpose - This study aimed at investigating the mediation roles of attitude dimensions in the effects of involvement type on hedonic product purchase intention and moderation role of lay rationalism in the effects of involvement type on attitude dimensions. Research design, data, and Methodology - "Wenjuanxing" was used online to make questionnaire, which was loaded on Wechat and QQ. 125 data were collected online in China. The Process macro model 58 including moderation of the two paths in the causal sequence was used to verify hypotheses. Results and Conclusions - First, cognitive (affective) involvement had positive effect on the utilitarian (hedonic) dimension of consumer attitude and the purchase intention. Second, hedonic dimension of attitude had positive effects on purchase intention, but utilitarian dimension of attitude had not significant positive effects on purchase intention. Third, Lay rationalism did decrease (did not increase) the positive effects of affective (cognitive) involvement on hedonic (utilitarian) dimension of attitude. Therefore Marketing managers should understand the differences between the cognitive involvement and affective involvement, and develop the ways by which they attract consumers to choose their hedonic product. And they should give affective (cognitive) information to the customers with low (high) rationalism consumers when they do marketing for their hedonic product.

• Journal of Oral Medicine and Pain
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• v.24 no.2
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• pp.107-115
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• 1999

The author studied the prevalence and sites of orofacial pain during the latest 6 months, and psychologic symptoms under the emotional stress through SCL-90-R in thirty-five dental students(nineteen men and sixteen women) of school of Dentistry, Chonbuk National University. 26 students(74.3%), 12 men and 14 women, experienced the orofacial pain; headache, toothache, facial & buccal pain, TMJ pain and intraoral pain were occurred in 51.4%, 37.1%, 25.7%, 17.1% and 17.1% respectively. In psychological scores in before-, during- and after examination, there was no significant difference between men and women. On the other hand, when these scores were compared each other in one group with orofacial pain experience and the other group without pain experience, the former showed significantly higher values in somatization, depression, hostility, and paranoid ideation dimension before examination, interpersonal sensitivity and anxiety dimension during examination, and somatization dimension after examination than those of the later group(P<0.05). The changes of psychologic symptoms in before-, during-, and after examination were observed in one group with pain experience and the other group without pain experience, respectively; in the former group the significantly higher values of anxiety dimension in during examination than after examination, and the significantly higher values of interpersonal sensitivity dimension in before examination than after examination(P<0.05) were evaluated.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.655-658
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• 2009

Fractal dimension has been used for texture analysis as it is highly correlated with human perception of surface roughness and applied to quantifying the structures of wide range of objects in biology and medicine. On the other hand, the evaluation of the human skin state is based solely on the subjective assessment of clinicians; this assessment may vary from moment to moment and from rater to rater. Therefore we attempt to analysis of skin texture image using fractal dimension and discuss its application to evaluating human skin state. It can be helpful for extracting human features and also can be useful for detection of many human skin diseases. This paper presents a method to calculate fractal dimension of skin with use of camera lens magnification. We take multiple pictures frequently from skin with different camera lens magnification as a magnification factor of fractal set, and counting the number of objects (cells) in each picture as a number of self similar pieces of fractal set.

• Journal of KIISE
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• v.45 no.1
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• pp.69-75
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• 2018

In the streaming data where data samples arrive sequentially in time, it is difficult to apply the dimension reduction method based on batch learning. Therefore an incremental dimension reduction method for the application to streaming data has been studied. In this paper, we propose an incremental linear discriminant analysis method using the least squared error solution. Instead of computing scatter matrices directly, the proposed method incrementally updates the projective direction for dimension reduction by using the information of a new incoming sample. The experimental results demonstrate that the proposed method is more efficient compared with previously proposed incremental dimension reduction methods.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.55-64
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• 2008

This study attempted to identify not only dimensions of clothing brand experience, but dimensions of perceived consumer-brand relationship. In addition, this study investigated the relationships among clothing brand experience, consumer-brand relationship and brand loyalty. 354 questionnaires were distributed to female and male respondents aged 20 to 30, and then analyed by SPSS and AMOS program. The results were as follows. First, it was identified that the dimension of clothing brand experience was composed of two dimensions; individual experience(personal dimension) and relational experience(social cultural dimension). Second, the type of consumer-brand relationship was found out as three dimensions; interdependence, love and passion, and partner. Third, these results showed that individual and relational experience of clothing brand was the most influential factor for love and passion dimension of consumer-brand relationship. Forth, love and passion dimension through clothing brand experience was the most influential factor for brand loyalty. Above results imply that the key of strong brand relationship lies in the emotion of love such as human relationship.

• International Journal of Quality Innovation
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• v.10 no.1
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• pp.77-87
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• 2009

The main aim of the paper is to provide an empirical analysis on patient satisfaction as an indicator of service quality in Malaysian public hospitals. Self-administered questionnaires were administered to patients by convenience sampling. Two sets of questionnaires were used, one for inpatient and another one set for outpatient. Selection of hospitals was made according to states in Peninsular Malaysia. 23 hospitals covering all state level hospitals, the National Referral Centre and selected district hospitals were chosen as respondent hospitals. Two dimensions of service quality emerged, namely clinical and physical dimension of service. Both outpatient and inpatient were found to be more satisfied with clinical dimension of service than physical dimension. For outpatient satisfaction, there was positive correlation between waiting time and patient satisfaction. Patient satisfaction was also found to be higher in the smaller district hospitals than in the larger state hospitals. For clinical dimension of service, patients were satisfied with the services of doctors and nurses, while for physical dimension of service, patients were satisfied with the cleanliness of the facilities. The ability of the research to be conducted by random sampling was inhibited by the reluctance of patients to cooperate, which led to the use of convenience sampling. Studies have also shown that patients are reluctant to express their feelings on services provided by their caregivers. The study provides primary data for a nationwide study on patient satisfaction in Malaysian public hospitals, for both inpatient and outpatient.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.26 no.1
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• pp.18-26
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• 2002

With the introduction of Fractal notation, various fields of engineering adopted fractal notation to express characteristics of geometry involved and one of the most frequently applied areas was turbulence. With research on turbulence regarding the surface as fractal geometry, attempts to analyze turbulent premised flame as fractal geometry also attracted attention as a tool for modeling, for the flame surface can be viewed as fractal geometry. Experiments focused on disclosure of flame characteristics by measuring fractal parameters were done by researchers. But robust principle or theory can't be extracted. Only reported modeling efforts using fractal dimension is flame speed model by Gouldin. This model gives good predictions of flame speed in unstrained case but not in highly strained flame condition. In this research, approaches regarding fractal dimension of flame as one representative value is pointed out as a reason for the absence of robust model. And as an extort to establish robust modeling, Presents methods treating fractal dimension as statistical variable. From this approach flame characteristics reported by experiments such as Da effect on flame structure can be seen quantitatively and shows possibility of flame modeling using fractal parameters with statistical method. From this result more quantitative model can be derived.

• Journal of The Korean Society of Agricultural Engineers
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• v.48 no.4
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• pp.41-49
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• 2006

Since particle size distribution curves are useful to estimate permeability of soil, many formulae for permeability coefficient (k) have been published using the parameter from the curves and factors, such as grain size, particle shape and void ratio of soils. However, the parameters such as $C_c,\;C_u$ and $D_n$ derived from only some discrete points on the curve are insufficient to represent the whole gradation. In this paper fractal dimension which is quite new concept and known to be able to represent the entire curve of particle size distribution is employed for the parameters. An empirical formula of permeability coefficient has been developed with fractal dimension and percent of finer than 0.075 mm. The formula developed from this study has confirmed its effectiveness by a series of laboratory tests and comparison to other published formulae. It is found that permeability coefficient is proportional to fractal dimension and inversely proportional to percent of fines.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.03a
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• pp.123-131
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• 2009

The study decided the improvement depth of soft ground of deep mixing method through 2 and 3 dimension finite element method and following results were acquired. 1. 2 dimension analysis shows settlement 10% more estimated than 3 dimension analysis. 2. When the rate of replacement is under 5%, the settlement sharply increased. 3. The most economical design for the levee was decided 3.0m for width direction, 6.0m for length direction and 8.0m for improvement depth. 4. When the soft ground is developed through deep mixing method, the decision of improvement should be decided through 3 dimension analysis than 2 dimension analysis.

• Journal of The Korean Astronomical Society
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• v.37 no.4
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• pp.137-141
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• 2004

We have estimated the fractal dimension of the molecular clouds in the Antigalactic Center based on the $^{12}CO$ (J = 1- 0) and $^{13}CO$ (J = 1- 0) database obtained using the 14m telescope at Taeduk Radio Astronomy Observatory. Using a developed code within IRAF, we were able to identify slice-clouds, and determined the dispersions of two spatial coordinates as well as perimeters and areas. The fractal dimension of the target region was estimated to be D = 1.34 for low resolution $^{12}CO$ (J = 1 - 0) database, and D = 1.4 for higher resolution $^{12}CO$ (J = 1 - 0) and $^{13}CO$ (J = 1 - 0) database, where $P {\propto} A^{D/2}$. The sampling rate (spatial resolution) of observed data must be an important parameter when estimating fractal dimension. Our database with higher resolution of 1 arcminute, which is corresponding to 0.2 pc at a distance of 1.1 kpc, gives us the same estimate of fractal dimension to that of local dark clouds. Fractal dimension is apparently invariant when varying the threshold temperatures applied to cloud identification. According to the dispersion pattern of longitudes and latitudes of identified slice-clouds, there is no preference of elongation direction.