• Journal of Digital Convergence
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• v.18 no.3
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• pp.189-194
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• 2020

Recently, various clustering techniques have been studied to efficiently handle data generated by heterogeneous IoT devices. However, existing clustering techniques are not suitable for mobile IoT devices because they focus on statically dividing networks. This paper proposes a probabilistic deep learning-based dynamic clustering model for collecting and analyzing information on IoT devices using edge networks. The proposed model establishes a subnet by applying the frequency of the attribute values collected probabilistically to deep learning. The established subnets are used to group information extracted from seeds into hierarchical structures and improve the speed and accuracy of dynamic clustering for IoT devices. The performance evaluation results showed that the proposed model had an average 13.8 percent improvement in data processing time compared to the existing model, and the server's overhead was 10.5 percent lower on average than the existing model. The accuracy of extracting IoT information from servers has improved by 8.7% on average from previous models.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.349-355
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• 2020

The Fourth Industrial Revolution has emerged, and technologies of various industries are being converged, compounded, or clouded computing, mobile, or big data. The emergence of a variety of skills and new jobs to match them is bringing the public out of the education and occupation of traditional metal crafts. In this change, craft education should find and study the education method suitable for the present times, and apply it to the educational field to raise public interest and revival. To this end, we will investigate the cases of education in other industries where new materials or technologies have been introduced, and use them in education of traditional metal craft techniques. In addition, we will investigate various cases and features of 3D printing technology and use it for education in craft techniques that have limited time, space and resources.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.287-293
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• 2020

This study is about comparing and analyzing the representative fintech application service, Toss, and Kakaobank from the user's point of view and suggest development according to the main factors of user experience. The experimental group who have used both mobile application was recruited to do a task about deposit and withdrawal service. After the task, an in-depth interview was conducted by reorganizing the "Creating Pleasurable Interface model" by Stephen P. Anderson. Interview questionnaire is based on propensity and feature of generation 2030. As a result of the experiment, the user showed satisfaction with usability and showed different application usage experience depend on financial transaction propensity and money management. Therefore, the application needs features that could grasp the propensity and also service to manage money in everyday life. Based on this study, it is expected to develop be user-based fintech application service in related fields.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.57-62
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• 2020

Smart home based on Internet of things (IoT) is rapidly emerging as an exciting research and industry field. However, security and privacy have been critical issues due to the open feature of wireless communication channel. As a step towards this direction, Shuai et al. proposed an anonymous authentication scheme for smart home environment using Elliptic curve cryptosystem. They provided formal proof and heuristic analysis and argued that their scheme is secure against various attacks including de-synchronization attack, mobile device loss attack and so on, and provides user anonymity and untraceability. However, this paper shows that Shuai et al.'s scheme does not provide user anonymity nor untraceability, which are very important features for the contemporary IoT network environment.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.357-362
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• 2020

The purpose of this study is to propose an efficient user experience of integrated applications by comparing and analyzing the usability of existing cultural content applications in Seoul. The study method was based on seven components of the honeycom model to conduct an interview and analyze for user experience measurements of existing applications. The results of the study summarized them in three ways. First, we need to organize a wide variety of information into categories in an easy-to-understand way. Second, making it easy to purchase tickets within the application. Finally, it is necessary to recommend cultural content that is suitable for me. This research is expected to be used as a basis for the user experience of the Seoul City Cultural Content Integration application.

• Journal of Korean Public Health Nursing
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• v.18 no.1
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• pp.74-79
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• 2004

The purpose of this study was to evaluate the effects of smoking prevention programs offered to primary and secondary school students in Seoul, and to analyze factors related to smoking for these students. A quasi-experimental study design was employed and a total of 8,717 students for pre-test and 7,925 students for post-test were participated in the study. The smoking prevention programs included poster and slogan contests. smoking cessation workshop. distribution of smoking prevention pamphlets, reinforcement of smoking regulations, and operation of mobile smoking cessation booth. The results indicated that smoking prevalence decreased after the intervention. However. despite the reinforcement of the regulation related to sales of tobacco to adolescents. more than $50\%$ of the participants still purchased tobacco from stores, while $20.8\%$ obtained tobacco through their friends. Stress, juvenile delinquency, and pocket money were identified as significant factors associated with tobacco use for these students. In conclusion, smoking prevention programs with multiple intervention strategies were effective in decreasing the smoking prevalence among adolescents. Further study is recommended to conduct an experimental study using comparison group to control the effect of other social influences such as national smoking cessation campaigns.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.3B
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• pp.159-164
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• 2008

For increasing productivity of domestic IT industry, government and local agencies have some plans to establish industrial clusters to provide local firms with testbed, R&D center, and cooperative research project. The most difficult problem in this process is to decide the location of them by resonable methodology. In this paper, the subject is to find what the factors to be considered in locating facilities and industrial clusters invested by government are and how to decide efficiently. First, we look over some cases of other countries, and then find assessment items for locating. Finally we analyze these items and assessment model by the analytic Hierachy Process(AHP) and make conclusion, As a conclusion, we find the result that there are some differences between the object of govenmental policy and needs of industry. 'The base infrastructure for telecommunications environment' is more important to be considered by the firms than 'The local benefit of the public'

• Journal of Digital Convergence
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• v.13 no.9
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• pp.177-182
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• 2015

The brand and product awareness of Korean electronics companies in the North American market has grown significantly and North American consumers has been recognized as an innovative technology products good performance of Korean electronics appliances. The consumer need of energy saving has led to a rise in market share because Korean electronics appliances have the excellence in energy saving aspects. The expansion of smartphones and mobile devices and the development of smart grid technology can affect electronics market. Domestic companies are continuously develop new product to provide consumers convenient with a variety of additional features combined consumer products. This study proposes a convergence model for sales prediction of electronic appliances using sales data of A company from the North American market. We develop the convergence model for sales prediction based on based on artificial neural network and genetic algorithm. In addition, we validate the superiority of the proposed convergence model by comparing the prediction performance of traditional prediction models.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.269-275
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• 2014

The DAB system was designed to provide CD quality audio and data services for fixed, portable and mobile applications with the required BER below $10^{-4}$. However for the T-DMB system with the video service of MPEG-4 stream, BER should go down $10^{-8}$ by adding FEC blocks which consist of the Reed-Solomon (RS) encoder/decoder and convolutional interleaver/deinterleaver. In this paper we propose two types of turbo coded T-DMB system without altering the puncturing procedure and puncturing vectors defined in the standard T-DMB system for compatibility. One(Type 1) can replace the existing RS code, convolutional interleaver and RCPC code by a turbo code and the other one (Type 2) can substitute the existing RCPC code by a turbo code. Simulation results show that two new turbo coded systems are able to yield considerable performance gain after just 2 iterations. Type 2 system is better than type 1 but the amount of performance improvement is small.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.255-260
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• 2013

This study was attempted to identify the differences of mental health and media use according to the addiction of communication media. Data collection was surveyed using interview and questionnaires by 250 subjects from March 12 to May 13, 2012. The results were as follows : First, with regard to mobile phone use time for communication in the use of over 2 hrs, subjects replied that addictive group was significantly higher than non-addictive group($X^2$=8.51, p=.00). Secondly, in case often depression, the risk ratio of addictive group was significantly higher 4.0 times than non-addictive group(OR=4.0, 95%, Cl=2.4-36.9). In conclusion, in order to prevent the addictive use of communication media, it is needed to make various environment such as sound life rhythm maintenance, systemic and periodic education.