• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.10
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• pp.4703-4723
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• 2016

The verification of data integrity is an urgent topic in remote data storage environments with the wide deployment of cloud data storage services. Many traditional verification algorithms focus on the block-oriented verification to resolve the dispute of dynamic data integrity between the data owners and the storage service providers. However, these algorithms scarcely pay attention to the data verification charge and the users' verification experience. The users more concern about the availability of accessed files rather than data blocks. Moreover, the data verification charge limits the number of checked data in each verification. Therefore, we propose a mixed verification protocol to verify the data integrity, which rapidly locates the corrupted files by the file-oriented verification, and then identifies the corrupted blocks in these files by the block-oriented verification. Theoretical analysis and simulation results demonstrate that the protocol reduces the cost of the metadata computation and transmission relative to the traditional block-oriented verification at the expense of little cost of additional file-oriented metadata computation and storage at the data owner. Both the opportunity of data extracted and the scope of suspicious data are optimized to improve the verification efficiency under the same verification cost.

• Journal of Digital Contents Society
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• v.9 no.2
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• pp.165-175
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• 2008

Currently, software development methods have been advanced to service-oriented from component-oriented, to component-oriented from object-oriented. The component-oriented and service-oriented software development methods are analyzed by object-oriented UML model. So, the efficient analysis method for object-oriented UML model needs. In this paper, we suggest the analysis guideline and process based on event using Input Data-Process-Output Data Table for identifying use cases and classes efficiently. And the suggested method complements the problems depending the developer's perspective and experience.

• Korean Journal of Remote Sensing
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• v.23 no.3
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• pp.153-160
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• 2007

Forest cover density studies using high resolution satellite data and object oriented classification are limited in India. This article focuses on the potential use of QuickBird satellite data and object oriented classification in forest density mapping. In this study, the high-resolution satellite data was classified based on NDVI/pixel based and object oriented classification methods and results were compared. The QuickBird satellite data was found to be suitable in forest density mapping. Object oriented classification was superior than the NDVI/pixel based classification. The Object oriented classification method classified all the density classes of forest (dense, open, degraded and bare soil) with higher producer and user accuracies and with more kappa statistics value compared to pixel based method. The overall classification accuracy and Kappa statistics values of the object oriented classification were 83.33% and 0.77 respectively, which were higher than the pixel based classification (68%, 0.56 respectively). According to the Z statistics, the results of these two classifications were significantly different at 95% confidence level.

• The Korean Journal of Franchise Management
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• v.11 no.1
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• pp.7-17
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• 2020

Purpose - As the competition in the foodservice franchise industry and the market becomes fierce and the entry barrier is lowered, the foodservice franchisor and franchisees strive to increase their competitive advantage in the market. Therefore, the franchisor and franchisees use experience management strategies to enhance the positive experiences of customers visiting the stores. In this regard, this study examines the effects of customer-oriented activities (physical-, social-, health-, and service-oriented activities) on utilitarian and hedonic values, and loyalty using stimulus-organism-response (S-O-R) model and value-expectancy theory. Research design, data, methodology - The data were collected from panels of online survey company, who visited a foodservice franchisee within last month. The survey was conducted for about 15 days from March 7, 2019 to March 21, 2019, and about 3,500 e-mails and messages were distributed to ask for the survey. A total 412 responded and completed the questionnaires. Of the 412 completed questionaires, 12 were discarded due to missing and misinformation data and 400 were retained for further data analysis. Results --The results showed that social oriented activities, health oriented activities, and service oriented activities had positive effects on hedonic value, while physical oriented activities did not have a significant effect on hedonic value. Health oriented activities and service oriented activities had positive effects on utilitarian value, while physical oriented activities and social oriented activities had no significant effects on utilitarian value. Hedonic and utilitarian values also have a positive effect on loyalty. Conclusions - First, food service franchises should provide services and menus in consideration of the health of customers. When a customer visits the store, franchisee should provide more health-oriented food or materials and clean and comfortable conditions so as not to threaten the health of the customer. Second, the food service franchise must build a service-oriented system. Foodservice franchisor need to provide continuous service training not only to the franchisees, but also to the employees of the franchisees. Third, franchise should design a store where customers can form social exchanges through providing various information exchange to customers and making the store as a local community center.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.1
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• pp.88-98
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• 2008

The purpose of this study were to examine the effect of fashion brand personality on the consumer's brand loyalty and to investigate the role of brand identification as mediator. The questionnaire data from 218 women who had purchase experience of fashion luxury brands were collected. Factor analysis and multiple regression analysis were used in data analysis. The results of this study were as follows. First, the consumer's fashion brand personality was composed of eight factors; Status-oriented, appearance-oriented, trend-oriented, leisure-oriented, physical activity-oriented, self achievement-oriented, fun-oriented and relation-oriented factor. Second, brand identification had significantly influence on brand loyalty. Third, fashion brand personality significantly influenced on brand loyalty and brand identification. Especially, the status-oriented, appearance-oriented, trend-oriented and self achievement-oriented fashion brand personality was proved to have a crucial role in brand identification and brand loyalty. Fourth, the status-oriented, appearance- oriented, trend-oriented and self achievement-oriented fashion brand personality had both direct and indirect effects on brand loyalty mediated by brand identification.

• Journal of the Korean Dietetic Association
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• v.21 no.1
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• pp.72-82
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• 2015

The purpose of this study was to provide preliminary data for competitive dominance in an institutional foodservice environment. Data were collected from 85 experts and practitioners on customer-oriented service contact elements and contact fields in the foodservice industry. PASW Statistics ver.18 and MS Excel were used for data analysis. From the pilot study, 67 service contact-elements were derived. Contribution rate analysis and frequency analysis in each contact field were performed in order to categorize four factors, including environment-oriented contact, product-oriented contact, service-oriented contact, and image-oriented contact fields. Thirty three contact elements were derived, and environment-oriented contact consisted of eight contact-elements (cleanliness of restaurant/kitchen, etc.), product-oriented contact consisted of twelve contact-elements (food taste, etc.), service-oriented contact consisted of seven contact-elements (service quality, etc.), and image-oriented contact consisted of six contact-elements (image/reputation, etc.). The results of study will be useful to develop an effective marketing program for competitive dominance in an competitive foodservice industry environment.

• Journal of information and communication convergence engineering
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• v.14 no.1
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• pp.9-13
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• 2016

With the introduction of the data-oriented plan for LTE service, one may concerned with the background of the ISP's policy in charging for LTE services. In this work we investigate the latest usage patterns of voice and data applications for customers over the current mobile network, via which we investigate why mobile operators introduced data-oriented plans. To be specific, we collected the real-field data for the volume of voice and data traffic from the LTE network before the data-oriented plans were introduced. From the collected data we compute the absolute volume as well as the proportion of voice and data applications. From these observations we infer mobile operators' reasoning behind the decision to introduce data-oriented plans with unlimited voice calls over the mobile network.

• Journal of the Korean Home Economics Association
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• v.37 no.3
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• pp.157-174
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• 1999

The purpose of this study is to investigate かe factors related to the environment-oriented consumer behavior, and to analyze the effects of environmental knowledge, perception of environmental problems, and environment-oriented attitude on the environment-oriented consumer behavior. The data used in this study were collected through questionnaires on 535 wives living in Cheju City. The data were analvzed by using SPSS WIN program. The summaries of this study are as follows. Using behaviors was influenced by age and family income, but buying and disposing behavior are not influenced by socio-economic variables of wives. Environmental knowledge only has effects on disposing behaviors, and environment-oriented attitude behavior has effects on buying, using, and disposing behavior. But the perception of environmental problems hasn't effects on them. Wives' environment-oriented behavior are more effected by environment-oriented attitude than perception of environmental problems. In buying behavior, environment-oriented attitude is the most influential factor, and the reference group is the second influential factor. But in disposing behavior, the reference group is the most influential factor, and environment-oriented attitude is かe second influential factor.

• Journal of Internet Computing and Services
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• v.4 no.4
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• pp.45-51
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• 2003

In general, the values for attribute appearing in fuzzy object-oriented data models are represented by the fuzzy sets. If it can allow the attribute values in the fuzzy object-oriented data models to be represented by the interval-valued fuzzy sets, then it can allow the fuzzy object-oriented data models to represent the attribute values in more flexible manner. The attribute values of frames appearing in the inheritance structure of the fuzzy object-oriented data models are calculated by a prloritized conjunction operation using interval-valued fuzzy sets. This approach can be applied to knowledge and information processing in which degree of membership is represented as not the conventional fuzzy sets but the interval-valued fuzzy sets.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.29-38
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• 2011

Unlike in traditional row-oriented database systems, a column-oriented database system stores data in column-oriented and not row-oriented order. Recently, research results revealed the effectiveness of column-oriented databases for applications such as data warehouse and decision support systems that access large volumes of data in a read only manner. In this paper, we investigate the join strategies for column-oriented databases and prove the effectiveness of column-oriented databases in data warehouse systems. For unbiased comparison, the two database systems are analyzed using the star schema benchmark and the performance analysis of a star schema join query is carried out. We experimented with well-known join algorithms and considered early materialization and late materialization join strategies for column-oriented databases. The performance results confirm that star schema join queries perform better in terms of disk I/O cost in column-oriented databases than in row-oriented databases. In addition, the late materialization strategy showed more performance gain than the early materialization strategy in column-oriented databases.