• Title, Summary, Keyword: Dirichlet space

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A Text Mining Analysis of Attributes for Satisfaction and Effect of Consumer Ratings to Korea and China Duty Free Stores - Focusing on Chinese Tourists - (텍스트 마이닝을 통한 한국과 중국 시내면세점 만족 속성과 소비자 평점에 미치는 영향 분석 -중국인 관광객을 중심으로)

  • Yang, DaSom;Kim, Jong Uk
    • Journal of Digital Convergence
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    • v.18 no.8
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    • pp.1-9
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    • 2020
  • This study aims to find new attributes by analyzing Korea and China duty free store online reviews and examine the influence of these attributes on star ratings(satisfaction)of duty free store. For study, we used Dazhong Dianping that largest online review site in China. Using R, we analyzed 5,659 reviews of Korea duty free store and 4,051 reviews of China duty free store. According to the analysis, Sale, Food and Membership attributes had a positive effect on star rating of Korea duty free store. Sale, Product, Airport, Food and Membership had a positive effect on star rating of China duty free store. This study has identified new factors such as food that showed the importance of providing space of restaurants while shopping at duty free store. This study has contributed to the existing literature by finding new attribute such as food. Practically, this finding will help to duty free industry workers better understand the impact of providing space of restaurants on duty free store.

Analytical and Numerical Model Study to Predict the Temperature Distribution Around an Underground Food Cold Storage Pilot Cavern (냉동저장 공동 주변의 온도분포 예측을 위한 해석해 및 수치모델 적용에 관한 연구)

  • 이대혁;김호영
    • Tunnel and Underground Space
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    • v.12 no.3
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    • pp.142-151
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    • 2002
  • Claesson(2001)'s analytical solution, and two numerical models with Dirichlet and Neuman interior boundary condition respectively were investigated to estimate the transient temperature distribution with distances from the Taejon underground food cold storage pilot cavern. Claesson's solution, which is based on constant temperature boundary condition at the rock wall during a temperature decline step, showed relatively good agreement with temperature measurements in the rock mass in order of average error difference, 0.89$\^{C}$ without any adjustments on laboratory thermal properties to represent the rock mass. For the numerical model with heat flux through the rock wall, a boundary condition setting technique was newly proposed to overcome the difficulty of prescribing variable convective heat tranfer coefficient and far-field air temperature inside the cavern as they may be certainly changed according to the cooling-down time. The results showed also good agreement with measurements in order of average error difference, 1.58$\^{C}$, and were compared to those of the numerical model with fixed temperature at the rock wall. Finally, the most proper procedure to precisely predict the temperature profile around a cavern was proposed as a series of analysis steps including an analytical exact solution and numerical models.