• Tunnel and Underground Space
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• v.25 no.5
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• pp.450-461
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• 2015

Extensive numerical experiments have been carried out to investigate effect of block size and fracture geometry on hydraulic characteristics of fractured rock masses based on connected pipe flow in DFN systems. Using two fracture sets, a total of 72 2-D fracture configurations were generated with different combinations of fracture size distribution and deterministic fracture density. The directional block conductivity including the theoretical block conductivity, principal conductivity tensor and average block conductivity for each generated fracture network system were calculated using the 2-D equivalent pipe network method. There exist significant effects of block size, orientation, density and size of fractures in a fractured rock mass on its hydraulic behavior. We have been further verified that it is more difficult to reach the REV size for the fluid flow network with decreasing intersection angle of two fracture sets, fracture plane density and fracture size distribution.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.475-485
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• 2012

The purpose of this research study was to identify the factors that influence comsumer who make decisions on preferred coffee types. Data was collected for a month from September $12^{th}$ to October $10^{th}$, 2010 from 807 participants who visited a cafe' in Seoul. The Limdep(LIMited DEPendent) 8.0 program was used in analyzing the determinants for preferred types of coffee using the multinomial logit model(MNL) approach. The results revealed that there were four taste preference groups being Espresso, Americano, Cafe' Late, and Cafe' Mocha ; as well as confirming that demographic characteristics influenced the coffee selection attributes, type of packaging, preferred coffee brand, and visit frequencies. This study found seven coffee selection attributes were significant factors in influencing patrons choices for purchasing speciality coffee being age range, profession, packing status, elation, superficial appearance, weight control, and habitual, respectively. The research reflects the coffee selection attributes by the customers' preference and concludes that it would be helpful to make marketing strategy for particular coffee brands.

• Culinary science and hospitality research
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• v.20 no.3
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• pp.171-185
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• 2014

This research investigates the causal relationships between the selection attributes of coffee shops and customer value and revisit intention. To do this, the statistics programs SPSS 18.0 and AMOS 18.0 were used targeting 218 college students from three universities (K, D, Y) in the Busan area. Frequency analysis, explanatory factor analysis, confirmatory factor analysis, correlation analysis, and structure model analysis for hypothesis verification were conducted to analyze the data. Based on the results of exploratory factor analysis, five factors were drawn as quality of coffee, indoor environment, service, discount, and brand. Model fidelity and validity was confirmed by implementing the confirmatory factor analysis. In addition, results of structure model analysis confirmed partial relationships among the selection attributes of the college students regarding coffee shops, customer value, and revisit intention. Furthermore, a positive relationship between customer value and revisit intention was also confirmed. Thus, this research suggests that coffee shop managers should manage in a way that customers may acknowledge the value of the expenses they pay.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.701-709
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• 2010

This paper presents an efficient signature recognition method by using the hybrid similarity criterion, which is in inverse proportion to distance and in proportion to correlation between the images. The distance is applied to express the spacial property of image, and the correlation is also applied to express the statistical property. The proposed criterion provides the robust recognition to both the geometrical variations such as position, size, and rotation and the shape variation. The normalized cross-correlation(NCC), which is calculated by considering 4 directions based on the histogram of binary image, is applied to express rapidly and accurately the similarity between the images. The proposed method has been applied to the problem for recognizing the 20 truck images of 288*288 pixels and the 105(3 persons * 35 images) signature images of 256*256 pixels, respectively. The experimental results show that the proposed method has a superior recognition performance that appears the image characters well. Especially, the hybrid criterion of NCC and ordinal distance has a superior recognition performance to the hybrid criterion using city-block or Euclidean distance.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.4
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• pp.1-9
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• 2015

This paper proposes CAC method that is more efficient for RRM using game theory combined with Multiple Attribute Decision Making(MADM). Because users request services with different Quality of Service(QoS), the network preference values to alternative networks for each service are calculated by MADM methods such as Grey Relational Analysis(GRA), Simple Additive Weighting(SAW) and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS). According to a utility function representing preference value, non-cooperative game is played, and then network provider select the requested service that provide maximum payoff. The appropriate service is selected through Nash Equilibrium that is the solution of game and the game is played repeated. We analyze two overlaid networks among four Wireless LAN(WLAN) systems with different properties. Simulation results show that proposed MADM techniques have same outcomes for every game round.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.267-274
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• 2021

The purpose of this study is to derive design factors to provide inclusive information without encouraging the division of region and ideology, and to present the prospects of election result infographics design through evaluation and interpretation of the based design factors. First, the methods and results of the study identify the characteristics of infographics design through theoretical considerations to confirm the importance of visualizing data, and the case study of infographics design as the main flow is cathogram-style design using various forms of digital interaction. Second, the 21 st National Assembly election of Korea resulted in the response to infographics design and evaluated and analyzed the suitability of design factors through surveys and expert interview for five designs selected (suitable for purpose, convenient, aesthetic, easy of understanding, and public concern). In conclusion, it is predicted that the election results infographics design will evolve to offset regional and ideological division by providing inclusive information tailored to consumer needs by providing different types of infographics designs that meet basic objectives and functions.

• Journal of the Korean Society of Floral Art and Design
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• no.40
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• pp.125-136
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• 2019

This study aims to examine the important factors of flower shops' store attributes influencing the repurchase intention for people who buy flowers for themselves with a hedonic shopping motivation. This study was verified by empirical survey and the results are summarized as follow. First, it was found that price, salesperson's professionalism, store accessibility had a significant positive impact on the repurchasing intention of flowers. Second, it was found that price is the first important factor influencing the repurchasing intention of flowers, and next salesperson's professionalism is the second important one, and lastly store accessibility is the third important one. For implications of this study, this study investigated the cause-and-effect relationship between flower shops' store attributes and the repurchasing intention of flowers for people who buy flowers for themselves with a hedonic shopping motivation, so it provides a theoretical foundation for further studies.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.201-209
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• 2024

The COVID-19 pandemic has significantly impacted the aviation industry, leading to worldwide changes in travel restrictions and security measures. This study analyzes 59,818 reviews of 147 airlines from the SKYTRAX website between 2016 and 2023 to understand the changes in airline service satisfaction before and after the pandemic. Using sentiment analysis, the study compares overall satisfaction, review sentiment, and attributes influencing satisfaction. The results show a statistically significant (p<0.001) decrease in overall satisfaction post-COVID-19, with reduced positive sentiment and increased negative sentiment for all airline selection attributes, except cabin and in-flight services. Flight operation services had the most significant impact on overall satisfaction during both periods. This quantitative analysis of global major airlines' satisfaction attributes before and after COVID-19 contributes to enhancing future service satisfaction in the airline industry.

• Korean Journal of Social Welfare
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• v.28
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• pp.165-192
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• 1996

• Digital Contents
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• no.9 s.64
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• pp.63-69
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• 1998

메타데이터는 일반적으로 데이터에 관한 데이터로서 자원의 속성을 기술하는 데이터를 의미한다. 표제, 저자, 주제명 분류 기호 등이 포함되는 기존 도서관의 목록 레코드, 초록, 색인에 의해 생성된 데이터베이스 레코드는 이러한 의미에서 메타데이터라고 할 수 있다.