• The Korean Journal of Food And Nutrition
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• v.28 no.4
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• pp.685-694
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• 2015

In the present study, we conducted in-depth interviews with school dieticians and nutrition teachers to determine the local foods they were aware of and their experiences with local foods. We also aimed to obtain more detailed measures for local food vitalization and suggestions for improvements. In-depth interviews were performed with 8 school dieticians and nutrition teachers, who stated that local food vitalization was needed for school food services, because it could be a foundation for securing safefood products, student healthi mprovements, environmental protection, and the establishment of a general consumption market. However, they were aware of a higher number of disadvantages than advantages in school situations and indicated the deterioration of the quality of food products as the biggest disadvantage. The most-suggested measurement items for local food vitalization in schools included improvement of the food distribution system, expansion of education, information sharing, prevention of monopolies, improvement of food-product quality, and mass production. In addition, it was suggested that school dieticians and nutrition teachers should invest efforts in the development of excellent recipes and varied diets utilizing local foods. Therefore, system supplementation is urgently required in order for school food service officials, and consumers, to efficiently introduce and vitalize local foods. It is also necessary to foster an environment that encourages trust-based relationships with producers to maximize the effect of system supplementation. This would be the foundation for improving the health of students, improving food-service quality, nutrition management, and vitalization of the regional economy in the future, and will positively affect students' food consumption patterns even after they become adults.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.1
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• pp.91-103
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• 2006

Given a bill of materials (BOM) tree T labeled by the breadth first search (BFS) order from node 0 to node n and a general network ${\Im}=(V,A)$, where V={1,2,...,m} is the set of production facilities and A is the set of arcs representing transportation links between any of two facilities, we assume that each node of T stands for not only a component. but also a production stage which is a possible stocking point and operates under a periodic review base-stock policy, We also assume that the random demand which can be achieved by a suitable service level only occurs at the root node 0 of T and has a normal distribution $N({\mu},{\sigma}^2)$. Then our integrated model of facility location problems and safety stock optimization problem (FLP&SSOP) is to identify both the facility locations at which partitioned subtrees of T are produced and the optimal assignment of safety stocks so that the sum of production cost, inventory holding cost, and transportation cost is minimized while meeting the pre-specified service level for the final product. In this paper, we first formulate (FLP&SSOP) as a nonlinear integer programming model and show that it can be reformulated as a 0-1 linear integer programming model with an exponential number of decision variables. We then show that the linear programming relaxation of the reformulated model has an integrality property which guarantees that it can be optimally solved by a column generation method.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.4
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• pp.106-115
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• 2014

Until now, because a new product (or facility) launched in market has been retired from one year of age, we can have had ASL by stub-curve method by Iowa curve. Recently, many innovative products with important role in market like display and solar-cell etc. are more durable and, what are better, they have the constant variance in ASL because of their good quality. Of course, there are some ones like smart mobile phone with relatively big dispersion in ASL. Estimating ASL of products like display and solar-cell etc., the new approach is needed. In this paper a new method applied traditional Iowa curve with accelerated reliability test (indoor/outdoor) etc. is proposed.

• The KIPS Transactions:PartD
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• v.19D no.4
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• pp.271-280
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• 2012

Currently, contents generated by SNS services are increasing exponentially, as the number of SNS users increase. The SNS is commonly used to post personal status and individual interests. Also, the SNS is applied in socialization, entertainment, product marketing, news sharing, and single person journalism. As SNS services became available on smart phones, the users of SNS services can generate and spread the social issues and controversies faster than the traditional media. The existing indexing methods for web contents have limitation in terms of real-time indexing for SNS contents, as they usually focus on diversity and accuracy of indexing. To overcome this problem, there are real-time indexing techniques based on RDBMSs. However, these techniques suffer from complex indexing procedures and reduced indexing targets. In this regard, we introduce the TK-Indexing method to improve the previous indexing techniques. Our method indexes the generation time of SNS contents and keywords by way of NoSQL to indexing SNS contents in real-time.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.66-74
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• 2009

The purpose of this study is to identify the factors mainly recognized by customers regarding environmental elements of clothing store. The respondents are classified into several groups according to their preferences on the environmental elements of clothing store. Also the relationship between the factors and the shopping characteristics of customers is reviewed based on the results. This survey was carried out through a questionnaire of male and female university students(Busan region) in their twenties. The data were analyzed by using Factor analysis, Cluster analysis, one-way ANOVA, Duncan test as a post identification and regression analysis. The results of this research can be summarized as follows; The perceived 7 factors about environmental elements of clothing store were service policy, store atmosphere, product variety, shopping convenience, trend of products, freedom of shopping and reception service. The respondents were classified into three groups(high recognizing group, middle recognizing group and low recognizing group) by the level of recognizing 7 factors. There were significant differences among 3 groups divided by the degree of recognizing the factors regarding environmental elements of clothing store and there was the meaningful relationship between these 7 factors and shopping characteristics. The high recognizing group has shopping characteristics like more shopping time, large expenditure for clothing and a lot of comparative stores. They are frequently in contact with clothing shopping environment and easily purchase clothes. Finally, the factors perceived by the environmental elements of clothing store significantly affected the shopping characteristics of the customers. So, store managers have to look for the perceived environmental elements of store by business and seek after the marketing factors which efficiently stimulate consumer.

• Journal of Service Research and Studies
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• v.2 no.1
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• pp.39-46
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• 2012

It is growing in size of database in companies. This caused to develope data mining techniques to predictive information from the large database. Costs and other effects can give variety of sales exploding through the analysis of the differences. Analysis of the various classification techniques, various angle can be analyzed point of view of the area information. The analysis of rules and patterns associated with a large amount of useful information from the database can be analyzed effectively. Goods store were analyzed using association rules, one of the data mining analysis techniques. Through this type of existing products according to analyze customer buying patterns, data mining has been studied to establish strategic marketing analysis.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.101-109
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• 2015

Traditionally, the value of a product or service was provided to customers by the manufacturer. However, in modern society, participation of consumers in the production of goods and services is widely integrated into the general activities of corporations. Collaborative innovation refers to the company and customer working together in creating value with the customers participating in the designing, production, marketing, and sales of products. Accordingly, it would be ill-fitted to conduct collaborative innovation using previous business methods. Though collaborative innovation in the business sector is expected to increase, there are limits to its implementation at present. This study proposes framework in developing collaborative innovation-purpose business models and a conceptual platform for its execution.

• Convergence Security Journal
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• v.12 no.3
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• pp.11-17
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• 2012

According to ISO/IEC 9000, quality to satisfy users' requirements when using the product or service is defined as the characteristics of the synthesized concept. Secure web application coding information systems with the reliability and quality of service is one of the determining factor. Secure coding in order to achieve the quality based on the model is necessary. The reason is that the security is in quality properties in the range of non-functional requirements that necessitates. Secure coding for the design of quality systems based on the quality of the definition of quality attributes, quality requirements, quality attribute scenarios are defined, and must be set. To this end, referring to IEEE 1061 quality model for web application, quality model structure is developed. Secure web application architecture design is composed of coding quality of the model systems, web applications draw interest to stakeholders, decision drivers secure coding architecture, quality attributes, eliciting quality requirements of the security settings, creating web application architecture descriptions and security framework.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.219-226
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• 2020

This study set the research model to analyze the effect of customer value on brand identification and loyalty using customers of K Airline. Based on previous researches, this study extracted variables, and built a structural equation model to examine the relationship among variables. The findings of empirical research are as follows. First, it was found that functional value and emotional value of customer value have significant effect on brand identification. Thus, hypothesis 1 was accepted. Second, customers seek emotional aspect in choosing a product or a service. That is, by using an airline brand which they think is identical with their image, value, or lifestyle, they pursue brand identification with the airline. Third, given that functional value and emotional value of customer value do not affect brand loyalty, we can know that customer value strengthens brand loyalty through brand identification. To boost brand loyalty, K Airline needs to pay attention to raise brand identification of customers with consideration of other mediating variables.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.2
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• pp.394-402
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• 2010

At a recent, enterprises based on online-service are established because of rapid growth of information network. These enterprises collect personal information and do customer management. If customers use a paid service, company send billing information to customer and customer pay it. Such circulation and management of information is big issue but most companies don't care of information security. Actually, personal information that was managed by largest internal open-market was exposed. For safe customer information management, this paper proposes the method that decrease load of RSA cryptography algorithm that is commonly used for preventing from illegal attack or hacking. The method for decreasing load was designed by Binary NAF Method and it can operates modular Exponentiation rapidly. We implemented modular Exponentiation algorithm using existing Binary Method and Windows Method and compared and evaluated it.