• Journal of Korean Society on Water Environment
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• v.31 no.1
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• pp.1-11
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• 2015

In this study, the attraction efficiency of the by-pass fishway installed at Dalseong Weir in Nakdong River was assessed according to operation of the attraction waterway by using River2D which is a two-dimensional physical habitat simulation model. The model was calibrated and validated through the measured water elevation. The attraction efficiency of the fishway was evaluated at the low flow condition because the target fish, Zacco platypus (Z. platypus), have moved frequently up and downstream at the spawning season from April to June. From simulation results, it can be deduced that the attraction efficiency at situation of open attraction waterway is superior to that of close attraction waterway. Also it is shown that velocity field at inner region of the fishway is suitable for migration of the fish.

• Bulletin of the Korean Mathematical Society
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• v.46 no.6
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• pp.1237-1248
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• 2009

The domain of attraction of a nonlinear differential equations is the region of initial points of solution tending to the equilibrium points of the systems as the time going. Determining the domain of attraction is one of the most important problems to investigate nonlinear dynamical systems. In this article, we first present two algorithms to determine the domain of attraction by using the moment matrices. In addition, as an application we consider a class of SIRS infection model and discuss asymptotical stability by Lyapunov method, and also estimate the domain of attraction by using the algorithms.

• Journal of Korea Port Economic Association
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• v.20 no.1
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• pp.141-151
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• 2004

Although the small and medium ports are actually competing with various strategies, the definition and structural understanding of small and medium ports are not known very much. Therefore this study has launched from this fact, and has the objective of obtaining the structural model for increasing shippers' attraction of small and medium ports. The process began by abstracting the components that composed the success factors through recent research, and grouping it by FA(Factor Analysis) method. Also, by using the FSM(Fuzzy Structural Modeling) method to understand the structure of the grouped components, and the structural model for increasing shippers' attraction of small and medium ports was able to obtain as the result. When analyzing the obtained structural model, easiness of shipment, connection to hubport and efficiency of hinterland network came out to be the most important component groups.

• Journal of Korean Port Research
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• v.14 no.3
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• pp.279-290
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• 2000

The purpose of this study is to suggest the analytical framework for a spatial structure of a tourism destination master plan by the two types of the tourism development models: Tourist attraction System Model and Tourism Destination Region Design Model. The resort development plan is introduced as a planning tool for regenerating the eastern Pusan regions, but the economic and environmental impacts and the sociocultural dilemma accompanied by the development should be fully considered before launching the business. The development plan announced currently is traced and examined in comparison with the upper-leveled and related plans. The Tourist Attraction System Model based on the systems theory is applied to the designated regions. The Tourism Destination Region Design Model then is applied for analyzing the components of each region on the master plan. The results of the findings suggest that the tourism destination plan is basically different from a general master plan on the physical comprehensive plan, the destination is recognized as a subsystem of the whole tourism system, and thus tourism destination plan is considered as a spatial arrangement of tourism facilities and the inter- and intra-circulation.

• Bulletin of the Korean Mathematical Society
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• v.49 no.3
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• pp.517-528
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• 2012

This paper is estimating the domain of attraction for a class of susceptible-exposed-infectious-recovered (SEIR) epidemic dynamic models by using sum of squares optimization. First, the stability is analyzed for the equilibriums of SEIR model, and the domain of attraction in the endemic equilibrium is estimated by using sum of squares optimization. Finally, a numerical example is examined.

• Management Science and Financial Engineering
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• v.18 no.1
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• pp.49-53
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• 2012

A novel method of transient stability analysis is presented in this paper. The proposed method extracts data points near the basin-of-attraction boundary and then builds a support vector machine (SVM) model learned from the generated data. The constructed SVM classifier has been shown to reduce dramatically the conservativeness of the estimated basin of attraction.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.825-832
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• 2012

We propose a novel way of forecasting the market shares of several brands simultaneously in a multiplicative competitive interaction model, which uses kernel regression technique incorporated with kernel machine technique applied in support vector machines and other machine learning techniques. Traditionally, the estimations of the market share attraction model are performed via a maximum likelihood estimation procedure under the assumption that the data are drawn from a normal distribution. The proposed method is shown to be a good candidate for forecasting method of the market share attraction model when normal distribution is not assumed. We apply the proposed method to forecast the market shares of 4 Korean car brands simultaneously and represent better performances than maximum likelihood estimation procedure.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.879-886
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• 2009

The purpose of this article is to present the application of Least Squares Support Vector Machine in analyzing the existing structure of brand. We estimate the parameters of the Market Share Attraction Model using a non-parametric technique for function estimation called Least Squares Support Vector Machine, which allows us to perform even nonlinear regression by constructing a linear regression function in a high dimensional feature space. Estimation by Least Squares Support Vector Machine technique makes it a good candidate for solving the Market Share Attraction Model. To illustrate the performance of the proposed method, we use the car sales data in South Korea's car market.

• Journal of the Korean Society of Costume
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• v.42
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• pp.113-126
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• 1999

The purpose of this study was to identify the differences n preference of advertisement and intention to buy the advertised jeans among the consumer groups which perceived eroticism and attraction of female model in advertising differently. he data were collected using questio-nnaires which contained eleven advertisements of Guess jeans selected form Vogue magazine publ-ished from 1990 to 1996. Female college students (n=270) living in Seoul Korea participated in the study. The data were analyzed by one-way ANOVA. he results of this study were as follows:First there were significant differences in preference of advertisement and intentio to buy the advertised jeans among the consumer groups which had different perceptions of eroticism and attraction of model in the case of eleven advert-isements. Second consumer group which perceived model erotic and attractive highly had the most preference of advertisement and intention to buy the advertised jeans, However consumer group which perceived model low in two aspects had the lowest preference and intention to buy. Third consumer group which perceived model a low erotic but highly attractive women had a higher preference of advertisement and intention to buy the advertised jeans than consumer gorup which perceived model a highly erotic but low attractive women or the former group was similar in prefe-rence and intention to buy to the latter group.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.2
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• pp.202-212
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• 2013

Outstanding service quality is a crucial factor to increase customer revisits, to increase customer revisits, to create new customers through positive word-of-mouth marketing and increase profits; in conjunction, the physical environment of department stores have a firsthand impact on customer purchasing behavior. This study examines the physical environment dimensions of department stores in China and the causal relationship with the physical environment, service environment, internal responses and store loyalty. The subjects in this study were male and female adults who finished the shopping the Lotte and Wangfujing Department Store located in Beijing. All participants were over the age of 20 and a one-on-one survey was conducted to gather data from October to November 2011. Data from 424 respondents were analyzed: in addition, AMOS factor analysis and path analysis were used. The results were as follows. First, physical environment factors consist of exterior aesthetic attraction, convenience, cleanliness and an interior aesthetic attraction. Second, exterior aesthetic attraction, convenience and cleanliness affect the overall service environment perception. Third, the service environment exercised an influence on internal responses, and internal responses impacted store loyalty. Fourth, a comparative analysis was made over Korean and Chinese department stores in China to check the research model. In Wangfujing Department Store, exterior aesthetic attraction, cleanliness and convenience had a statistically significant impact on service environment perceptions. In Lotte Department Store, the perception of service environment was under the statistically significant influence of all physical factors (exterior aesthetic attraction, interior aesthetic attraction, convenience and cleanliness). The findings of this study are helpful for Korean Department stores that plan to make inroads into China to formulate efficient service environment strategies tailored to local consumer characteristics.