• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.71-84
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• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.

• Information Systems Review
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• v.12 no.1
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• pp.145-164
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• 2010

Since the third generation (3G) mobile communication service has been launched by most mobile communication operators in Korea, the portion of data service in mobile communication service becomes one of the most important factors in mobile communication service market. In past mobile communication market, most mobile communication operators made their profit mostly from voice communication service. However, the portion of profit from data service has gradually increased based on both video phone call and mobile Internet service. In this situation, LG telecom launched the full browsing mobile Internet service. This service provides a new type of mobile Internet service platform which enables to access the World Wide Web using mobile browsers, so we generally access the Web using web browsers in the desktop computer. Under the open network structure of mobile Internet like situation, it is very important to analyze the factors which can affect the competition between mobile communication service companies. So, in this paper, we first present the current state of full browsing service, followed by the expectation of its growth potentials and barriers. Then, we analyze the advantages and disadvantage of LG telecom as a first-mover and SK telecom/KTF as followers. Finally, based on this analysis, we predict the future competition among these companies and the market.

• Journal of the Korean Society for Marine Environment & Energy
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• v.16 no.1
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• pp.17-24
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• 2013

In order to have market competitiveness in local and global areas, Domestic Marine Leisure Industry business, which is a latecomer in the Marine Leisure industry, should retain a strong market adaptability by reducing time and cost that are required for work of planning, designing, and preparation for product development. To meet above requirements, it is essential that integrated system control extensive marine leisure industry. After ensuring integrated information by figuring out the systematic link between related-industries, the core of this research is to secure information classifications that are not just in the flow of simple serial order, but in that of integration and object-oriented information classifications. For this end, we examine other similar cases in industries using real information system applied to industrial production and Product Lifecycle Management (PLM), Product Data Management (PDM), Digital Manufacturing (DM) and applying the same methodology to review practical application in order to construct the information system, and Work Breakdown Structure (WBS), compared with the case studies. Through this basic task for the marine leisure industry classification system configuration (Work Breakdown Structure, WBS) and utilizing information of driving real companies of marine leisure industry, a unique area of MLWBS (Marine Leisure Work Breakdown Structure, MLWBS) is configured. This Marine Leisure Work Breakdown Structure can be used in various areas of applications like products, design information, engineering, production, purchasing, sales, marketing, AS, utilizing various forms of customer support.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.105-116
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• 2012

This thesis is surveying the notions and the countermeasures of the farmers, who produce environmental-friendly crops, on a market and buyers. It ultimately tries to find out ways to increase the sale and the consumption of environmental-friendly crops from the side of the farmers. In chapter 2, analyzing the reality of consuming environmental-friendly crops and consumers inclinations. Also, on the basis of this, in chapter 3, I demonstrate how environmental-friendly producers countermeasures for the consumers are. I try to analyze the trust of the consumer buying environmental-friendly crops, which have been pointed out as a decisive factor for environmental-friendly crops by a lot of researchers, and analyze producers methods dealing with consumers approach to consume environmental-friendly crops. Regarding ways of the reconsideration about the trust, I have shown the problems about the quality authentication, forming consumers trust, and the ways of the consumer management. For the channel and method of the sale I have scrutinized not only a farmers notion about an internet homepage and his or her use but also producers principal sales route, cognition, and correspondence about it. Finally, I have examined the counter plans of the producer to increase sale and to facilitate consumption.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.167-175
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• 2020

The purpose of this paper is to provide directional and policy references to develop a higher level of service quality and consumer-oriented e-commerce platform. This paper has established a model of consumer behavior of Chinese fresh agricultural e-commerce using customer satisfaction theory and cognitive value theory, and used survey and SPS23.0 to verify hypothesis. Studies have shown that when consumers consume fresh agricultural products, product quality, logistics and distribution service quality, interactive quality of e-commerce platform, and product price and cognitive value have a positive effect on consumer behavior. This study is meaningful in the study of consumer behavior of fresh agricultural e-commerce, and in the case of fresh agricultural e-commerce companies, consumer behavior can be understood. In the model constructed in this paper, the relationship between each influencing factor and consumer behavior is considered comprehensively, but the possible relationship between fine molecular factors has not been studied and analyzed. In the future learning process, it is necessary to make clear the characteristics and particularity of the industry, think about its influencing factors comprehensively and make in-depth analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.267-280
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• 2017

The purpose of this study is to provide cosmetic companies and research institutes with basic data regardingthe development of marketing by making out the influence and characteristics of consumption. A total of 506 questionnaires were used as analysis for the questionnaire survey of twenty female college students who purchased cosmetics within sixmonths in Seoul and the metropolitan area. Consumption propensity varied characteristics depending on the degree of makeup, average number of purchases, main reason for using cosmetics, and where to buy cosmetics. Motivation for purchasing cosmetics varied characteristics depending on the largest skin problem, the degree of usual makeup, the average number of times cosmetics were purchased, and the main reason forusing cosmetics. The results revealed thepropensities of saving resources, planned purchases, consciousness to others, and impulse buying have significant effects on the cosmetic purchase motives of product conversion, being others-oriented, economicsand pursuing beauty(P<0.05).Consequently, this study hopes to contribute to the development of cosmetics companies and research institutes by providingbasic data forfuture development of productsas well as formarketing strategiesusing customer psychology by referring to various perspectives ofconsumer direction and desired purchase behavior.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.555-566
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• 2015

Socially responsible activities done by the food-service companies increase corporate their competitiveness and can be used as a marketing strategy for the preparation for their future corporate image through positive word of consumer mouth. Food-service companies will lose competitiveness if they overlook socially responsible activities, which risks their long term sustainability. For one month, June 1 to June 30, 2014, after explaining the purpose and validity to staff and customers, the researcher asked them to complete a questionnaire via Self-administered Questionnaire Survey Method and gathered it.532 questionnaires out of 540 were returned and, excluding 22 insincerely replied questionnaires, 510 questionnaires were used for empirical analysis of the research material. he summary analysis for the research hypotheses are as follows :First, socially responsible activities(economic, charity and environmnetal responsibility) had a positive(+) effect on corporate image. Second, socially responsible activities had a positive(+) effect on long-term orientation. Third, socially responsible activities had a positive (+) effect on word of mouth. This study is worthwhile because it empirically confirms that food-service companies carry out socially responsible activities. his study confirms that socially responsible activities and business operations that fulfill this responsibility can be used as a marketing strategy, which reveals consumers' value of social responsibility.

• Archives of design research
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• v.13 no.4
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• pp.85-93
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• 2000

Design becomes a source of new competitive power in the boundless global market so-called globalization. The competitive power in business was lied in the technology in 70's and the design was understood as a styling or graphic means. However, the design has become more important means to get the competitive power in business since 1980. World businesses have found the fact that it has a super competitive power to make the product's performance as well as its dignity rather than it is to determine the product's external view or color. The change of design policy in Phillips, one of the world's leading producers of electronic products, is not much different. Design manager's power was limited until 70's. However, Phillips has focused its business strategy on the higher competitive power since 1980 and they welcomed Robert Blaich, vice president of design and development at Herman Miller Inc., to be a member of the company, expanding the importance of design along with restructure while working on the globalization. Meanwhile, Stefano Marzano, a Senior Director in 90's, established a high design concept, working on the strategic futures to get customer-oriented and for successful commercialization. The vision of the future developed over 3 years until 1996 was to forecast 10 years coming up and create a new value while achieving the business target through the design as an innovative design in bracing for the information network era.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.455-464
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• 2020

This study examined the correlation between the variables related to the organizational commitment of social workers. The research results are as follows. First, the overall effect size of the variable group had an intermediate effect size. Among the four organizational commitment-related variables, the job-related negative variable had the largest effect size. Next, the group of positive variables related to the organization, the group of positive variables related to the job, and the group of individuals related to the individual were in order. Second, among the individual-related variables, experience, gender, and education showed a small effect size, and other factors were close to the small effect size. In the group of positive variables related to organization, all variables except for transactional leadership and organizational fairness, which had a medium effect size, showed a large effect size. The job-related positive variables showed a large effect size only for job satisfaction, and customer orientation and job suitability were close to the large effect size. The turnover intention, which is a group of job-related negative variables, had a large effect size and job stress showed a medium effect size.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1027-1042
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• 2004

A Software Component is a module that is reused among a lot of projects, systems, and companies rather than a single application. Components can be reused in various systems if they provide not only the common functionalities required in many applications but also the diverse aspects to be customized for being suitable for customers' demands. From the development phase, components should be designed and developed considering the variable aspects they have for convenient customization. Easily customized components can be frequently reused in lots of applications. In the literature, there are some modeling and customizing techniques. But they suggested only conceptual or basic methods based on Object-Oriented. And the practical instructions for reusing component were not provided sufficiently. Moreover, there are few techniques that consider the proper variability types components have. Thus, those techniques are not appropriate for applying to black box component completely developed and released. In this paper, we classify variabilities that components have in functional aspect into two categories. The one is logic variability, and the other is workflow variability. For each classified variability, we propose the three kind of modeling techniques, which are selection, plug in and externalization. Also detailed instructions for practical design and application are provided.