• Journal of Digital Convergence
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• v.9 no.5
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• pp.99-111
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• 2011

Nowadays, the rapid progress and worldwide use of smart-media(SNS) has resulted in coming of the smart media convergence age. In practice, however, the effectiveness of smart media convergence society is limited by the difficulties of using it, which include accessibility, waiting for loading, clutter, old information, privacy risks, expensive communication, etc. The conquest of these difficulties must be policy target of broadcasting and telecommunication for high quality of communication life. From this perspective, this paper proposes a new policy of broadcasting and telecommunication based on the dynamic quality of life for the smart media convergence society. This smart convergence policy will not promote only the development and production of smart media contents but also its stable supply and it will secure the accessibility and privacy. In conclusion, this paper reveals that the components of quality of life are important elements of broadcasting and communication policies which will eventually lead to the popular use of smart media and enhance its quality.

• Convergence Security Journal
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• v.15 no.6_2
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• pp.89-97
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• 2015

The Smart phone is the mobile phone added to mounted equipment miniaturized operating system of PC and wireless phone possible hardware, software modules. This study is examine about Smart phone supply spreading process and characteristic by age. And this study is wish to investigate about age-based features of the media usage attitude via a Smart phone as a reference questionnaire of KISA and KISDI. Smart phone is easy-to-use and excellent portability and mobility like Pocket PC. It is easy to information and data search anytime and anywhere unaffected by time and place. It is to possible a variety of information exchange with several acquaintances and easy to photos and video photography. Wish to improve the life satisfaction with widely using for smart phones at all ages.

• Smart Media Journal
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• v.10 no.2
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• pp.22-29
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• 2021

In the past decade, deep learning has been applied to various medical image analysis tasks. Skeletal bone age estimation is clinically important as it can help prevent age-related illness and pave the way for new anti-aging therapies. Recent research has applied deep learning techniques to the task of bone age assessment and achieved positive results. In this paper, we propose a bone age prediction method using a deep convolutional neural network. Specifically, we first train a classification model that automatically localizes the most discriminative region of an image and crops it from the original image. The regions of interest are then used as input for a regression model to estimate the age of the patient. The experiments are conducted on a whole-body scintigraphy dataset that was collected by Chonnam National University Hwasun Hospital. The experimental results illustrate the potential of our proposed method, which has a mean absolute error of 3.35 years. Our proposed framework can be used as a robust supporting tool for clinicians to prevent age-related diseases.

• The KIPS Transactions:PartA
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• v.19A no.1
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• pp.61-68
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• 2012

Since the increasing use of smart devices such as smartphone and tablet PC improves the quality of convergence of broadcasting and telecommunication, many new media have been created. This smart device can provide personal environments based on user's profile (age, gender, and job) and current location. In addition, it can be regarded as a media platform with two-way communication. This paper proposes personalized message syndication, called PMS, based on smart devices and then analyzes its business and technical issues. The PMS service as a smart media provides consumers customized information and can be used for producer's marketing tools which can lead consumers' heart and participation.

• Convergence Security Journal
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• v.13 no.2
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• pp.85-93
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• 2013

Today, the structure of terrorist organizations in the form of a variety of network complexity are evolving. However, terrorist organization not combining randomly generated network but preferential attachment a network. So, it's research should be preceded a better understanding about the characteristics and type of terror network for a effective counter-terrorism policy of law enforcement. In addition, the appropriate response strategy have to technique establish in an era of smart media. In particular, homegrown terrorist attacks on unspecified people without boundaries of countries and regions unlike the traditional terrorism. Also, homegrown terrorism are violence and criminal activity by new various of religion, politics, philosophy. Besides the extreme members of homegrown terror networks went grow up through the evolutionary process in the age of smart media. Law enforcement agencies must identify the terrorist network at the national level. Therefore, terror networks evolving in the online space, forming a radical homegrown terror organizations have access to the network. Intelligence community track terrorist networks and to block the negative aspects of the smart media outlets should be considered.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.129-135
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• 2018

This study analyzed the domestic and foreign cases of the existing smart home service and grasped the needs of the future smart home service in the future of the Internet of Things. As with all smart homes, the effectiveness of future use is important when comparing needs and random services according to user usability and destination patterns. In order to improve the reliability and to promote the development direction, we conducted a questionnaire survey of 110 people in 20 ~ 30 age group. The survey shows that the reliability of the smart home service is low. The low trust factors include: 1. lack of usability; 2. lack of device recognition; 3. lack of specialization services. Since the smart home service is still in the early stage, various smart home services and ecosystem should be constructed according to user's needs.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.299-304
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• 2013

Culture contents are connected directly with our lives. Experts who produce culture contents or work at such industry or most of people regardless of age and gender are exposed to media contents like movie, game, animation, broadcasting and advertising. There are a number of users who use smart phones and smart pads which can view such media contents. The era of smart device which people easily surf, watch, and produce media contents will be opened. Therefore, the efficient curriculum for producing more touchable media contents should be developed continuously. Most of people recognize the necessity of educations to enhance creativity at university education. This paper intended to research the method of roles curriculum of university produce culture contents which stimulate emotion, creative and show new technology. This paper suggests academic curriculum for department of culture and contents based on the basics, even though new media device emerges the proper talents can be fostered.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.326-331
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• 2023

Korea's cultural content industry can develop into another unique tourism industry. However, since other prior studies focus on the Japanese content industry, this study identifies modern industrial trends by combining the unique characteristics of Korean content, that is, cultural content tourism, and the analysis ability of big data. The current status and direction of the cultural content tourism industry were studied by utilizing the extensive information collection and in-depth analysis capabilities of big data, and as a result, it was confirmed that the trend of the cultural content industry is related to the business aspect of cultural content, not the pure content interest of cultural content. This shows that Korean cultural contents have a strong business aspect. As a limitation, when research design was conducted using social media big data, the age, gender, etc. of the subject analyzed with unique anonymity could not be known. The Korean cultural content industry is expected to be successful in terms of business.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.38-55
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• 2021

Recently, the use of media has become a daily life due to Covid-19, and education using media has expanded for teenagers. The purpose of this study is to empirically verify how media usage characteristics affect social relationships and school adaptation through the self-efficiency and immersion of teenagers at the youth education site. This study was collected and distributed questionnaires to 250 high school students in Seoul from November 14 to November 21, 2020. The results of the study were derived with a total of 249 questionnaires, excluding one missing questionnaire, and the hypothesis was verified using a Covariance Structure Analysis. Research has shown that, first, the existing, individual, and utility among the characteristics of using youth media have a significant effect on self-efficiency, respectively. Second, only entertainment among the characteristics of youth media use was found to have a significant effect on immersion. Third, immersion has a significant definition effect on school adaptation, and self-efficiency has been shown to have a definition impact on social relationships. Based on this study, we believe that it will be used as a fundamental resource for the development of youth media usage and policy direction in the age of the ever-changing Covid-19.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.39-60
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• 2019

The purpose of this study is to examine new types of political participation using the new media of digital convergence generation. For this purpose, groups were classified according to age and characteristics of media usage to investigate whether there are differences in media-related tendencies, SNS and characteristics of Smartphone usage political-related characteristics, and political participation by types. The results of the study is that the media usage characteristics by generation showed a difference between groups according to the high and low motivation for using media, and there was a generation differences in politics-related characteristics and types of political participation. Digital generation showed lower political involvement, political efficiency and offline political participation than Web 1.0 generation. In addition, political efficacy showed the moderating effect that had the greatest effect on political participation by types.