• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.4
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• pp.599-611
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• 2018

This study develops a training program for vocational high school students. This study implemented the ADDIE teaching-learning model and was conducted in the sequence of analyses, design, development, implementation and evaluation. In the analysis phase, the existing studies related to vocational competency training were analyzed along with an analysis of the current education programs and suitability assessment. Based on the analysis, the education program was designed and contents were determined. The program consisted of 5 chapters and 17 unit hours of instruction. Reigeluth's (1987) theory was used as the framework for organizing educational materials in the development phase. The programs were implemented on students and evaluated by students as well as experts. Students evaluated the program in terms of the degree of motivation for learning, comprehension of learning content, perceptions of lessons in classes as well as the advantages and disadvantages of the program. Experts evaluated the program in terms of program validity. The results indicate the developed program was useful for training students vocational competencies as shop managers. This study contributes to the field of fashion education, by presenting an example of systematic development of an educational program in connection with industry.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.346-348
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• 2004

In this rarer, we introduce a new Fuzzy Polynomial Neural Networks (FPNNs)-like structure whose neuron is based on the Fuzzy Set-based Fuzzy Inference System (FS-FIS) and is different from that of FPNNs based on the Fuzzy relation-based Fuzzy Inference System (FR-FIS) and discuss the ability of the new FPNNs-like structurenamed Fuzzy Set-based Polynomial Neural Networks (FSPNN). The premise parts of their fuzzy rules are not identical, while the consequent parts of the both Networks (such as FPNN and FSPNN) are identical. This difference results from the angle of a viewpoint of partition of input space of system. In other word, from a point of view of FS-FIS, the input variables are mutually independent under input space of system, while from a viewpoint of FR-FIS they are related each other. In considering the structures of FPNN-like networks such as FPNN and FSPNN, they are almost similar. Therefore they have the same shortcomings as well as the same virtues on structural side. The proposed design procedure for networks' architecture involves the selection of appropriate nodes with specific local characteristics such as the number of input variables, the order of the polynomial that is constant, linear, quadratic, or modified quadratic functions being viewed as the consequent part of fuzzy rules, and a collection of the specific subset of input variables. On the parameter optimization phase, we adopt Information Granulation (IG) based on HCM clustering algorithm and a standard least square method-based learning. Through the consecutive process of such structural and parametric optimization, an optimized and flexible fuzzy neural network is generated in a dynamic fashion. To evaluate the performance of the genetically optimized FSPNN (gFSPNN), the model is experimented with using gas furnace process dataset.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1400-1412
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• 2006

As PB market segments into premium market, PBs were drawing attentions in terms of creating profits as well as a means to differentiate building up store identity. The purpose of this study makes a comparative study on the difference of consumer attitude formation process in discount store and home-shopping distribution channel which are recently on the upswing. This paper investigated the consumer's attitude formation on the private apparel brand. Subjects of this study were consumers in their $20s{\sim}40s$ who are main customer groups of PBs. The data were analyzed by Structural Equation Modeling and Multi-Group Analysis of Amos 5.0 to verify the difference of the path between store PB and premium PB. Following are the results of the study. Consumer attitude formation path on PB grades showed statistically noticeable difference. In discount store PB, store evaluation didn't directly influence on consumer attitude formation but showed indirect effect. On the other hand, in home shopping premium PB case, product evaluation directly influenced on consumer attitudes with store evaluation. Hedonic attitude dimension connected with behavioral attitude(purchase intention) revealed difference in path. Also consumer's evaluation on variables in model turned out to be different according to brand grade.

• The Korean Journal of Applied Statistics
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• v.8 no.2
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• pp.87-97
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• 1995

When there is no main effcts or only one main effect in a $2 \times 2$ factorial design, Type I error rates and power for the rank transformed F test (FR test) for interaction are nearly equal to those of the classical F test. However the power of FR test is quite superior under the exponential distribution rather than the of FR test is quite superior under the exponential distribution rather than the normal distribution. Meanwhile when both main effects are in the model, Type I error rates of FR test, compared with those of F test, decrease as the effect size increases and are dependent on the fashion in which main effects are constructed. In addition, the power of FR test increases as the effect size and the sample size increase and is highly dependent on the manner in which main effects are constructed and the type of population distribution.

• Korean Journal of Clinical Pharmacy
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• v.13 no.2
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• pp.55-58
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• 2003

Astromicin is an aminoglycoside antiviotic that is structually different from conventional aminoglycosides. Astromicin has been shown to be active against aerobic Gram-negative bacilli. The pharmacokinetics of astromicin were determined in 12 healthy volunteers ($65.5\pm5.23\;kg$ of body weight) following a 30-min continuous intravenous infusion at a dose of 200 mg. The plasma and urine samples were collected up to 24 h and drug concentrations were measured by a bioassay using Bacillus subtilis. Pharmacokinetic parameters were calculated by fitting individual concentration-time curve to a one-exponential decay model. The plasma levels were $16.9\pm1.68\;and\;1.05\pm0.346\l{\mu}g/ml$ at 0 h and 8 h after the infusion, respectively. The elimination half-life of astromicin was $1.86\pm0.360\;h$ The volume of distribution was $0.182\pm0.0164\;L/kg$, and the total body clearance was $5.25\pm1.74\;L/h$. These pharmacokinetic parameters were similar to these of gentamicin, tobramycin, and amikacin. Therefore, it is recommended that therapeutic drug monitoring of astromicin could be conducted in a similar fashion as the other aminoglycosides.

• Journal of the Korean Home Economics Association
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• v.47 no.9
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• pp.101-110
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• 2009

The purpose of this study was to examine the effect for information load on perceived information quality and website quality, and the relationships among perceived information quality, website quality and behavioral intentions in online apparel shopping contexts. The information load theory provided the theoretical framework for this study. The research strategy employed an online experimentation using an apparel mock website. The total of 647 responses were used for data analyses. The model of the study was tested by MANOVA and SEM. The results of MANOVA revealed the effect of information load on perceived information quality and website quality. The medium level of information load was perceived as having more positive information quality and website quality as compared to the low or high level of information load. The findings of SEM revealed the positive effect of information quality on website quailty, the positive effect of website quality on WOM and willingness to pay more, and the negative effect of website quailty on willingness to switch. Online apparel retailers and website designers need to manage information quantity and quality by understanding the importance of information load.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1661-1671
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• 2006

Many researchers have studied the process of retail evolution in the United States and in Europe. Although extensively studied(e.g., Agergaard, Olsen & Allpass, 1970; Oren, 1989), used in conceptual work(e.g., Cist, 1968), and applied as foundation in empirical work(e.g., HcNair, 1958), some limitations exist as follows: inability to cover multiple types of retail institutions and limited quantification. The purpose of this study is to build a conceptual framework combining existing retail evolution theories to overcome existing limitations. Data collection and analysis followed a qualitative research design, specifically a grounded theory type of design with a constant comparative analysis method. As a result of the study, a conceptual framework was built by synthesizing aspects of retail evolution theories and showed retail institution types in a change process.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.1
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• pp.153-181
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• 2013

Weather is an influential factor to sales of companies. There have been growing attempts with which companies apply weather to developing their strategic marketing plans. By executing weather marketing activities, companies minimize risks (or negative impacts) of weather to their business and increase sales revenues. In spite of managerial importance of weather management, there are scarce empirical studies that comprehensively investigate its impact and present an efficient method that optimally allocates marketing budget. Our research was conducted in two parts. In the first part, we investigated influences of weather on sales based on real-world daily sales data. We specifically focused on the contextual factors that were less focused in the weather related research. In the second part, we propose an optimization model that can be utilized to efficiently allocate weather marketing budget across various regions (or branches) and show how it can be applied to real industry cases. The results of our study are as follow. Study 1 investigated the impact of weather on sales using store sales data of a family restaurant company and an outdoor fashion company. Results represented that the impacts of weather are context-dependent. The impact of weather on store sales varies across their regional and location characteristics when it rains. Based on the results derived from Study 1, Study 2 proposes a method on how optimally companies allocate their weather marketing budgets across each region.

• Journal of Microbiology and Biotechnology
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• v.19 no.3
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• pp.307-313
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• 2009

In order to systemically investigate the possibility of using coxsackievirus B3 (CVB3) to deliver foreign genes in vivo, a recombinant strain of CVB3 encoding the renilla gene (CVB3-renilla) was constructed. The recombinant CVB3 resulted in extensive and transient expression of the renilla protein within mouse organs, especially the pancreas. The level of expression was generally dependent upon the viral titer present. Moreover, the CVB3-renilla strain was completely attenuated. Interestingly, the recombinant CVB3 vector was expressed much more strongly in mouse organs than was a comparable adenoviral vector. The CVB3-renilla strain did not express the renilla gene in mice with pre-existing coxsackievirus-specific neutralizing antibodies, but direct organ-specific administration of the virus during open-peritoneum surgery was able to circumvent this immunity. This coxsackievirus vector may represent a useful means for delivering and expressing foreign genes in mouse models in an acute and extensive fashion.

• Journal of Distribution Science
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• v.10 no.3
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• pp.7-13
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• 2012

Recently, with the success of Groupon in the USA using the new business model referred to as social commerce, which is a commercial transaction involving group purchases on social network service (SNS), social commerce business receives much attention. Social commerce is capable of effectively promoting additional purchasing by customers through unprecedented price discounts and limiting the number of purchasers and time allotted for purchases, and is able to achieve promotional effects over and above those of simple product promotion due to customers' voluntary word of mouth. Although social commerce is effective for short-term increase in the sales of products, there are numerous dissenting opinions on whether it can promote repurchasing by customers. In particular, social commerce in Korea focuses only on unprecedented discounted prices and does not have the marketing effect that SNS can produce over and above the sales promotion. The objective of this study is to find the factors that influence the repurchase intention on social commerce and to analyze factors that contribute the social commerce product. For this, this study extracts repurchase intention factors and computes a repurchase probability to assess the influence of factors other than price discount on social commerce customers at the time of repurchasing. In addition, the importance of factors toward sales revenue for each of the social commerce products (e.g., restaurant/café, beauty, tour/leisure, show/exhibition, and fashion/clothes) is estimated by using the computed repurchase probabilities. The repurchase probability through the analysis can be used for development of social commerce business in Korea.