• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.185-190
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• 2014

With the fast increment of smart phone users and extension of wireless internet the number of SNS user is also increasing. Twitter among lots of SNS takes the lead in SNS market. Twiter users express their thinking and feelings. In this paper, by analyzing twitts near the distribution enterprise using opinion mining. And by analyzing concern degree using the number of twitts and positive, neutral, negative degree we deliver marketing message to marketer. As the result, we propose that marketing and management of this distribution enterprise can reflect the demand of customer who is near there.

• Journal of the Korea Convergence Society
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• v.3 no.1
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• pp.19-25
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• 2012

This paper tries to solve the problems which previous methods have such as the WCDRM(Watermark and Cryptography DRM) and the model using smart card for protecting digital contents. This study provides a contents distribution model to protect the rights of author, distributor, and user as well as user's information by using technologies such as cryptography, DRM(Digital Right Management), access control, etc. The proposed system is evaluated as the most safety model compared with previous methods because it not only solves the problems which the previous methods have, but also protects four type of risks such as use of contents which other mobile devices download, the attack on the key to decode the message, the attack on leaking the contents, and the internal attack such as an illegal reproduction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.396-402
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• 2016

Recently, as the performance of smart phones has advanced and their distribution has increased, various functions in existing devices are accumulated. In particular, functions in smart devices have matured through improvement of diverse sensors. Various applications with the development of smart phones get fleshed out. As a result, services from applications promoting physical activity in users have gotten attention from the public. However, these services are about diet alone, and because these have no exercise motion recognition capability to detect movement in the correct position, the user has difficulty obtaining the benefits of exercise. In this paper, we develop exercise motion-recognition software that can sense the user's motion using a sensor built into a smart phone. In addition, we implement a system to offer exercise with friends who are connected via web server. The exercise motion recognition utilizes a Kalman filter algorithm to correct the user's motion data, and compared to data that exist in sampling, determines whether the user moves in the correct position by using a DTW algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.73-76
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• 2013

This paper proposes a tongue and its direction recognition algorithm which compares and estimates pixel distribution in the mouth area. As the size of smart phones grows, facial gesture control technology for a smart phone is required. Firstly, the nose area is detected and the mouth area is detected based on the ratio of the nose to mouth. After detecting the mouth area, it is divided by a pattern of grid and the distribution of pixels having the similar color to the tongue is tested for each segment. The recognition rate was nearly 80% in the experiments performed with five researchers among our laboratory members.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.493-496
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• 2007

As the ubiquitous society period has set in recently, which resulted from both mass distribution of portable devices such as PDA, PMP, Smart Phones, the demand for more optional features of system and multimedia functions has been increasing. In compliance with thoses needs, the amount of information increased in a system and greater power capacities are needed more than ever. Therefore, in portable device which uses battery as a limited source of power, the power management has become a key factor in the system. This paper concentrates on the Power management solution for Smart device for the prevention of missing child. And ARM9 Core was used as CPU and Windows CE 5.0 was ported to the smart device.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.109-120
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• 2010

Mobile phone-related industries have been mainly concentrated on attracting the new customers and increasing the market share such as for the aggressive marketing activities, but it is the time to find an effective strategy to preserve existing customers since the mobile phone market had already reached the saturation. In this study, the properties of mobile phone that influence on the choice of handset and telecom company were analyzed. General properties of respondents were explored and the mobile phone properties were grouped by common factors. And analyzed the effect of factors on customer satisfaction with structural equation model. 10.4% of respondents are used their handset more than two years and 48.7% wanted to purchase other manufacturer's handset if they repurchase mobile phone. These results might come form the fact that the life cycle of mobile phone become shorter by the heating competition in mobile phone market and, to some degree, the influence of smart phone which recently become globally popular. Four factors, 'Hardware Quality', 'Practicality', 'Convergence Functions' and 'Level of Awareness', are induced from the mobile phone properties. In Structural Equation Model analysis, 'Hardware Quality' and 'Practicality' have significant and positive effects on Customer Satisfaction. But, 'Awareness' such as brand and trend appeared quite less influence on the customer satisfaction.

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.59-72
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• 2016

DRM(Digital Rights Management) is essential for the copy right protection of eBooks based on ePub 3.0 by IDPF. In this paper, we developed eBSS(eBook Service System) as ePub 3.0 builder and viewer system with DRM and proposed an efficient DRM method which improves the performance of contents generation, security and distribution system. The efficient application of DRM method to the eBook contents based on ePub 3.0 for smart phone is practically useful for eBook service system. It is very useful for the suggested eBSS with DRM method and strategy to apply easily and practically to the encryption and decryption of the eBook contents. Also, it is very efficient to generate the ePub 3.0 contents and to apply DRM method to it especially, by using practically this suggested ePub 3.0 builder system from the view point of the eBook content generation and its viewer such as eBook reader for user and eBook providers.

• Journal of Distribution Science
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• v.10 no.9
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• pp.23-29
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• 2012

Purpose - The main purpose of this study is to find consumers' usage behavior in mobile services. To achieve these research goals, we empirically estimate the relationship between characteristics related to the use and provision of mobile services and factors influencing consumers' intentions. Research design / data / methodology - This study based on TAM, in which behavior is seen as a consequence of affect and intentions and used the theory of consumption values which is a means of explaining user decisions to employ a utilitarian and hedonic facet using by smart phone. Results - The result of the study verified that specific factors, such as expectations about pleasure and monetary value, had the biggest influence on the service usage pattern of mobile consumers. And typically, when consumers are expected to monetary damages, it will be avoided. However, in result of this study, it was found that mobile service users pay a high cost, but they are in pursuit of pleasure and fun. Conclusions - These results, a variety of applications in the mobile service are being provided to users. As information technology has developed, companies should have providing diverse application programs and good quality of services with advanced information technology.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.133-154
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• 2021

Today smart phone is the most common media with a vehicle called 'application'. In order to understand how media users select applications and build their repertoire, this study conducted two-step approach using big data from smart phone log for 4 weeks in November 2019, and finally classified 8 media repertoire groups. Each of the eight media repertoire groups showed differences in time spent of mobile application category compared to other groups, and also showed differences between groups in demographic distribution. In addition to the academic contribution of identifying the mobile application repertoire with large scale behavioral data, this study also has significance in proposing a two-step approach that overcomes 'outlier issue' in behavioral data by extracting prototype vectors using SOM (Sefl-Organized Map) and applying it to k-means clustering for optimization of the classification. The study is also meaningful in that it categorizes customers using e-commerce services, identifies customer structure based on behavioral data, and provides practical guides to e-commerce communities that execute appropriate services or marketing decisions for each customer group.

• Journal of Distribution Science
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• v.16 no.7
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• pp.57-65
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• 2018

Purpose - Recently, internet access and social network utilization using smart phone are increasing. In such a smart environment, interactive activities such as information generation, information searching and information sending are increasing rapidly on-line environment. Therefore, consumers tend to purchase something according to eWOM and also meet the social consensus online environment. In connectivity society, consumers became accessible and engaged in the opinions of others easily. Many decisions that seem like personal decisions are actually social decisions on online connectivity. This paper seeks to explore factors that can help generate a social decision on purchasing of new products in an online environment. Research design, data, and methodology - The process of collecting a lot of wisdom and making an agreement online is called social decision. The purpose of this paper is to examine empirically the influence of factors such as online ties, online eWOM expectancy and online information behavior on online social decision. In addition, We studied online social decision by analyzing the moderating effect of new product innovation. To understand this structural relationship, research hypotheses and research models were set up and empirical analysis was conducted. In order to verify the hypothesis, 208 questionnaires were collected from the residents of Seoul city/Gyeonggi province. The answered questionnaire verifies reliability and validity using SPSS/AMOS and test hypotheses through path analysis and multiple regression analysis. Results - According to the research results, First, online ties don't have a positive impact on online social decision, Second, online eWOM expectancy have a positive impact on online social decision. Third, online information behaviors have a positive impact on online social decision. The degree of innovation of new products have a moderating effect between Independent variables of three factors and dependent variable of social decision. Conclusions - Social decisions have a positive impact on purchasing decisions about new product. There is a great significance in the fact that the online social influence and online social decision have been studied academically. It is meaningful that we have studied in depth the changing phenomenon of consumer purchase decision process in smart environment. The results of these studies provide academic and practical implications.