• Journal of Digital Convergence
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• v.11 no.3
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• pp.407-413
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• 2013

For Ubiquitous service, there are some method researched. To IT convergence study tourism the convergence of IT and tourism in recent years has emerged as a discipline in the future. Tourist information is information about tourism products as tourists tourism decision-making needed to say. Information presented information anytime, anywhere, using a contact-type media, mobile and efficient tourist information content and generate content using Smart App store to the database is needed. This paper, by taking advantage of the Smart App Places to generate content and Smart Things to query, modify, search, tourism information, tourism policy and tourists can be analyzed, and the average inclination and these efficient tourism information content and that can be utilizedmodels are proposed. This u-Smart is a tourist information system. Build the biggest advantages of the meta-meta-model in real time by utilizing Smart App disposition of existing tourism information and tourist and tourism rating database. Helps to generate patterned by digital tourism policy tourism information content.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.101-110
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• 2006

ADevelopment of various geographic observations, GPS, and Wireless Communication technologies make it easy to control many moving objects and to build an intelligent transport system and transport vehicle management system. However it is difficult to make a suitable system in the real world with a variety of tests to evaluate the performance fairly because real vehicle data are not enough as evaluating and testing the transport plan in the system. Therefore some moving object data generator would be used in most researches. However they can not generate vehicle trajectory according to a user scenario defined to be applied to transport plan, because the existing data generators consider only a gauss distribution, road network. In this paper we design and implement a vehicle data generator for creating vehicle trajectory data based on the user-defined scenario. The designed data generator could make the vehicle location depending on user's transport plan. Besides we store the scenario as patterns and reutilize the used scenario.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.139-147
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• 2016

Korea is ahead of the launch of internet banking professional following to America, Europe and Japan. Internet banking is a professional non-store bank to conduct business such as deposits and loans on the internet and call centers. It is operating in a low-cost structure and minimizes the loans and deposits, various fees than traditional banks and obtains a profit. In order to be successful internet banking professional to develop a differentiated work with the existing banks should be competitive. In this paper, we explore and analyze the cases of Japan and the United States to present the future direction of domestic Internet banking professional future. Also it is expected to enable faster and more convenient one-stop financial services. Internet specialized bank is expected to continue to develop further by the inevitable competition with conventional banks as developing differentiated financial services. Deregulation of banks and industries and participation of various companies of security, insurance, telecommunications, and retail are expected to lead to the convergence among industries and development of new financial services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.134-137
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. In addition, extract value from large amounts of structured or unstructured data set and means the technology to analyze the results. Meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Meta-analysis is sometimes expressed as an analysis of another analysis. Commonly, factors of metabolic syndrome can be defined as abdominal obesity, high triglycerides, low high density lipoprotein cholesterol, elevated blood pressure, and elevated fasting glucose. This study will find meaningful mediator variables for criterion variables that affect before and after the metabolic syndrome studies, on the basis of the results of a meta-analysis. We reviewed a total of 5 studies related to metabolic syndrome published in Korea between 2000 and 2016, where a cause and effect relationship is established between variables that are specified in the conceptual model of this study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.123-125
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. In addition, extract value from large amounts of structured or unstructured data set and means the technology to analyze the results. Meta-analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We conducted a meta-analysis and review of between success factors based the information systems success model researches. This study focused a total of 14 research papers that established causal relationships between success factors based the information systems success model published in Korea academic journals during 2000 and 2016. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.

• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.835-844
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• 2009

Today, most of all the query processors in the world generally use the 'Pipelining' method to acquire fast response time (first record latency) and less memory usage. Each of the operator nodes in the Query Execution Plan (QEP) provides Open(), Next(), and Close() functions for their interface to facilitate the iterator mechanism. However, the embedded database systems for the mobile devices, based on the FLASH memory, usually require a function like Previous(), which returns the previous records from current position. It is because that, in the embedded environment, the mobile devices cannot fully provide it main memory to store all the query results. So, whenever needed the previously read records the user (program) should re-fetch the previous records using the Previous() function: the BACKWARD data fetch. In this paper, I introduce the 'Direction Switching Problem' caused by the Previous() function and suggest 'Block-wise Skipping' method to fully utilize the benefits of the block-based data transfer mechanism, which is widely accepted by most of the today's relational database management systems.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.449-454
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• 2013

Recent, the number of consumers using home shopping are in increase. So, there have been a lot of effort to provide services that meet the consumer's eye level in each store. In particular, apparel stores have been conducted the research for virtual fitting room based on augmented reality technology that consumers can simulate in real time costumes that meet the tastes of consumers in online and offline market. In addition, some services has already progress. The general virtual fitting room simulator built the user interface based on OpenCV, augmented reality API, Kinect, and so on. But, it has the disadvantage that the equipment is expensive. In this paper, we have developed a 3D virtual fitting room simulator based on augmented reality technology using OpenCV and libsigc$^{++}$. This simulator can simulate easily in general home without any special equipment. This simulator is expected to be available very efficient in online and offline market as well as home shopping.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.301-306
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• 2017

With the popularization of smart-phone, a variety of application service user is a rising trend now. In contrast, studies concerning library application service that cast a long shadow over the life of students and citizens still lacking in many ways. This study evaluates user experience of Young-in Si public library application service, and investigates user requirements. I searched the real user reviews about Young-in Si library application both App store and Android market. As the final outcome, I found inconveniences and improvements of this service. The application is intuitive, but requires consistent design, strong identity and customizing main page. It will be suggested specific guidelines for the public library mobile services in other areas.

• Journal of the Korea Society of Computer and Information
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• v.15 no.6
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• pp.121-128
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• 2010

Spatial data mining has been developed to support spatial association knowledge between spatial features or its non-spatial attributes for an application areas. At the present time, a number of researchers attempt to the data mining techniques apply to the several analysis areas, for examples, civil engineering, environmental, agricultural areas. Despite the efforts that, until such time as not existed practical systems for the gCRMDMs. gCRMDMs is merged with very large spatial database and CRM information system. Also, it is discovery the association rule for the predictions of customer's shopping pattern informations in a huge database consisted with spatial and non-spatial dataset. For this goal, gCRMDMs need spatial data mining techniques. But, nowadays, in a most case not exist utilizable model for the gCRMDMs. Therefore, in this paper, we proposed a practical gCRMDMs model to support a customer, store, street, building and geographical suited to the trade area.

• International Commerce and Information Review
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• v.14 no.2
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• pp.173-199
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• 2012

The purpose of the study is to test and analyze differences in consumers' satisfaction and influences of competitiveness of goods on consumers' purchase decision by demographic characteristics and by channel distribution. The hypotheses have been tested through T-test and ANOVA with one-way and two-way using SPSS Win Ver. 12.0. The distribution channels are classfied with five ones such as company direct operation shop, agent licensed shop, department store, internet home shopping and outlet goods shop. This study can indirectly suggest a local clothing brand industry countermeasures for raising competitiveness and changing consumer preferences in the open domestic market.