• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.4 s.44
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• pp.393-403
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• 1992

This Study intended to provide positioning strategies of brand Image for ladies' ready to wear by analysing the perceptual dimensions of working women. The subjects were devided into two groups according to the fashion involvement, and in each group, a positioning map was composed by use of multidimensional scaling. 251 subjects of this study were gathered into stratified sample groups from working women in Seoul, being subdivided according to their each occupation and age. The data were analysed by frequency, percentage, average, $x^{2}-test$, 1-test, Factor Analysis, cronbach's $\alpha$. Also, KYST, PROFIT, PREFMAP for multidimensional scaling were used. The results were as follows. 1. Two groups were identified according to degree of fashion involvement: high-involvement group, and low-involvement group. 2. From the analysis of the similarity of brand image, high involvement group percieved greater difference in brand image than low involvement group. 3. From the analysis of the evaluation of brand attributes, the evaluations in self expression, fashionability, design, sales promotion activity, sociality, quality, fit showed differences bet-ween high involvement group and low involvement group. 4. From the analysis of the preference of brand image, the distribution of preference and ideal point were different between high involvement group and low involvement group.

• Korean Journal of Adult Nursing
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• v.17 no.1
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• pp.34-43
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• 2005

Purpose: This study was performed to examine predictors of allied health science students' exercise behavior using Pender's Health Promotion Model. Method: The subjects were 203 university students majoring in nursing, emergency medical service, and exercise prescription. The hypothetical model was based on the HPM(Pender, 1996). Exogenous variables of the model were exercise habit and role belief. Endogenous variables were exercise-related affect, exercise self-efficacy, exercise barrier, exercise intention, and exercise behavior. The data were analyzed by SAS PC program and LISREL 8.12 program. Result: The degree of exercise behavior was low(mean 1.86, range 1~4). The overall fit of the model to the data was acceptable. Exercise habit, exercise self-efficacy and exercise-related affect were significant predictors of exercise intention and exercise behavior. Conclusion: This study shows the necessity of the program to increase the level of exercise participation of university students majoring in allied health science. The model constructed in this study is applicable to explain exercise behavior of university students majoring in allied health science, and suggests that we should focus on exercise habit, exercise self-efficacy and exercise-related affect to increase the level of exercise behavior of this group.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.8
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• pp.1169-1178
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• 2008

In this study, a questionnaire was compiled by conducting interviews and preliminary surveys, and then handed out to a total of 270 welders working in shipyards to investigate their opinions on welding clothes. By which investigation, it was intended to understand their dissatisfactions and issues with conventional welding clothes and then propose of such welding clothes as may offer better fit and suitability. A total of twenty welding suits were collected to find the locations and degrees of wear and tear. Due to too large differences in the locations and degrees of wear and tear among the clothes, the evaluation was focused on ten suits out of the twenty suits collected. The researcher’s subjective judgment was used to select the nineteen most severely damaged parts, which were then photographed in a uniform distance and evaluated by a group of experts in terms of the degree of damage in order to locate most severely damaged parts and select adequate materials for those parts in designing an experimental suit. Based on two above evaluations, the experimental welding suit was produced in consideration of the design, materials and patterns. A lab evaluation and a site evaluation were conducted to compare the experimental suit and other conventional suits, a lab evaluation and a field evaluation were performed.

• Smart Structures and Systems
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• v.2 no.2
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• pp.141-154
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• 2006

Recently, the Hilbert-Huang transform (HHT) has gained considerable attention as a novel technique of signal processing, which shows promise for the system identification and damage detection of structures. This study investigates the effectiveness and accuracy of the HHT method for the system identification and damage detection of structures through a series of experiments. A multi-degree-of-freedom (MDOF) structural model has been constructed with modular members, and the columns of the model can be replaced or removed to simulate damages at different locations with different severities. The measured response data of the structure due to an impulse loading is first decomposed into modal responses using the empirical mode decomposition (EMD) approach with a band-pass filter technique. Then, the Hilbert transform is subsequently applied to each modal response to obtain the instantaneous amplitude and phase angle time histories. A linear least-square fit procedure is used to identify the natural frequencies and damping ratios from the instantaneous amplitude and phase angle for each modal response. When the responses at all degrees of freedom are measured, the mode shape and the physical mass, damping and stiffness matrices of the structure can be determined. Based on a comparison of the stiffness of each story unit prior to and after the damage, the damage locations and severities can be identified. Experimental results demonstrate that the HHT method yields quite accurate results for engineering applications, providing a promising tool for structural health monitoring.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.33 no.12
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• pp.3-11
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• 2017

The non-mandatory guidance and illogical ordinance of local government generate complicated and vague regulations and procedures. These cause inconvenience in building administration, and give rise to unnecessary social and administrative expenses. The purpose of this study is to suggest the improvement of building administration by local government from an institutional point of view through the literature review and the specialist survey focusing on the problems arising from the building ordinances and non-mandatory guidance. The results of this study are as follows; In the first place, the connection between law and ordinance should be improved in a systematic, definitude manner and high-degree of completion. Second, the monitoring management system should be arranged in order to excavate and improve the non-mandatory guidance. Third, the effort should go into improving ability and disposition of building official. Fourth, it is necessary to materialize and clarify the regulatory contents and adjust them to fit the legal system. Lastly, it is important to reinforce incentives and procedures of verification in order to manage building ordinances of legal government's own free will. In order to improve of building administration by local government, it is necessary to make the structure of sustainable improvement and discuss not only institutional aspect but also elements of building administration in later study.

• Korean Journal of Human Ecology
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• v.10 no.3
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• pp.291-301
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• 2001

The purpose of this study is to provide the apparel manufacturers who have not been effectively preparing for worldwide trends of rapid increase in overweight population with fundamental data to develop updated domestic market through the findings derived from the actual dissatisfaction factors in purchasing of a garment by overweight body customers excluded in the apparel industry. The results of study are as follows : Considering the relationships with dissatisfaction factors in purchasing ready-to-wear according to the interests in weight control, there is a slight difference in the partial intention from degree of self-recognition of body figure and interests in weight control and motivation of interests in weight control. As a results, first, the more recognition of obesity, the more dissatisfaction with "product variety" and "purchasing decision". Second, the more interests in weight control, the more dissatisfaction with product variety in purchasing of ready-to-wear. Third, the more self-recognition of obesity as the motivation of interests in weight control, there is a high dissatisfaction with product variety.

• Journal of Electrical Engineering and Technology
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• v.12 no.6
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• pp.2118-2126
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• 2017

The large-scale power system blackouts have indicated that conventional protection relays that based on local signals cannot fit for modern power grids with complicated setting or heavily loaded-flow transfer. In order to accurately detect various faulted lines and improve the fault-tolerance of wide-area protection, a novel multi-section weighed fault matching and detecting algorithm is proposed. The real protection vector (RPV) and expected section protection vectors (ESPVs) for five fault sections are constructed respectively. The function of multi-section weighed fault matching is established to calculate the section fault matching degrees between RPV and five ESPVs. Then the fault degree of protected line based on five section fault degrees can be obtained. Two fault detecting criterions are given to support the higher accuracy rate of detecting fault. With the enumerating method, the simulation tests illustrate the correctness and fault-tolerance of proposed algorithm. It can reach the target of 100% accuracy rate under 5 bits error of wide-area protections. The influence factors of fault-tolerance are analyzed, which include the choosing of wide-area protections, as well as the topological structures of power grid and fault threshold.

• Korean journal of food and cookery science
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• v.19 no.6
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• pp.745-752
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• 2003

The aim of this study was to test the behavioral intent-based model of the foodservice related complaint handling. Accordingly, this study examined the effects of complaint handling on the university students' behaviort based on the word-of-mouth intent and repurchase intent. The findings from this study were as follows. KMO and Bartlett's test statistics showed the data fit factor analysis. The factor loadings, eigenvalues, ％ of variance, and communalities showed that the convergent validity was supported, the average variance extracted estimates and shared variance showed that the discriminant validity is supported, and composite alpha showed that the internal consistency was supported. It was found that some of main effects on the word-of-mouth intent and the repurchase intent were significant. It was found that some of interactional effects of the complaint type, the degree of correction effort, and the satisfaction with the complaint handling were significant. Overall, the results provide some insights into the types of foodservice related complaint handling strategies or the tactics that can be effectively employed by operators who manage complaint handling for customers dining at fast food restaurants.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.306-310
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• 2008

Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise. It can also serve as a sound methodology that can be applied to a variety of management and engineering problems where variables are interacting in an uncertain, qualitative, and fuzzy way. A close examination of the fuzzy regression algorithm reveals that the resulting possibility distribution of fuzzy parameters, which makes this technique attractive in a fuzzy environment, is dependent upon an h parameter value. The h value, which is between 0 and 1, is referred to as the degree of fit of the estimated fuzzy linear model to the given data, and is subjectively selected by a decision maker (DM) as an input to the model. The selection of a proper value of h is important in fuzzy regression, because it determines the range of the posibility ditributions of the fuzzy parameters. In this paper, we discuss the interdependent relationship among the h value, membership function shape, and the spreads of fuzzy parameters in fuzzy linear regression with fuzzy input-output using shape-preserving operations.

• Journal of the FoodService Safety
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• v.2 no.2
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• pp.91-96
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• 2021

This study was performed to provide fundamental data on hygiene and quality control of ready-to-eat sandwiches. Predictive models were developed to the kinetics of Staphylococcus aureus growth in these sandwiches as a function of temperature (10, 15, 25, and 35℃). The result of the primary model that used the Gompertz equation showed that the lag phase duration (LPD) and generation time (GT) decreased and the exponential growth rate (EGR) increased with increasing storage temperature. The secondary model showed an R² for M and B of 0.9967 and 09916, respectively. A predictive growth model of the growth degree as a function of temperature was developed. L(t)=A+Cexp(-exp(-B(t-M))) (A=Initial contamination level, C=MPD-A, B=0.473166-0.045040*Temp-0.001718*Temp*Temp, M=19.924824-0.627442*Temp-0.004493*Temp*Temp, t=time, Temp=temperature). This model showed an R² value of 0.9288. All the models developed in this study showed a good fit.