• Journal of Digital Convergence
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• v.9 no.5
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• pp.225-233
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• 2011

Internet telephony is an Internet service which supports voice telephone using VoIP technology on the IP-based Internet. It has some advantages in that voice telephone services can be accompanied with multimedia services such as video communication and messaging services. Recently, the introduction of smart phones has led to a growth in social networking services and thus, the research and development of Internet telephony has been actively progressed and has the potential to become a replacement for the telephone service that is currently being used. In this paper we designed and implemented a recording system which records voice data of SIP-based Internet telephone's voice calls. It is developed on the linux system and has some features such as audio mixing of two in/out voice channels, live packet sniffing, and the ability to transfer mixed audio files to the log file server. These functions are implemented using various open source softwares. Afterwards, this VoIP recording system will be applied as a base technology to advanced services like a VoIP-based call center system.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.309-316
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• 2016

The purpose of this study was to identify converged factors influencing subjective health status of patients with depression. The subjects of this study are 117 people answered that depression years of the 2013 National Health and Nutrition Examination Survey subjects. The results of this study were that the factors influencing subjective health status were education level, number of family member, quality of life, subjective body awareness, stress and they explained 55.9% of the variance. Therefore the intervention is considering various converged influencing factors should be done when the primary care for the promotion of subjective health status of patients with depression. This study identified a complex convergence of factors influence the subjective health status of patients with depression could be helpful on developing nursing intervention programs. It is necessary to identify forward more various social religious factors and disease influence the subjective health status of patients with depression.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.141-150
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• 2016

The e-book technology is developing day by day with the expansion of e-ink technology. However, consumers' complaint over contents which are relatively deficient compared to paper book, the issue of compatibility of file between bookstores is not improved as yet. This means that present e-book market needs study in the viewpoint of consumer who intend to accept requirement of market instead of viewpoint of technical development. Thus, this study intends to measure the quality of three main attributes such as system, contents and service based on IS Success Model which compose e-book to identify the influence on readers' purchase intention. Result, System quality is to device purchase intention, and Contents quality is to e-book pruchase intention, it showed a significant damaging effect on.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.233-239
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• 2014

Ultra high-resolution content, the file size is very large, therefore existing encoding techniques, it is not possible to transmit via the network. Efficient use of the network encoder HEVC corporation can be transferred. Compression requires a lot of time because it requires a distributed transcoding system. Distributed transcoding system is a distributed data store, and then encoded using a large number of nodes. The disadvantage of distributed transcoding system for distributed information is exposed or vulnerable to attack by internal managers. In this paper, when the super high definition content transcoding, distributed transcoding system does not guarantee the confidentiality of the problem to solve. We are using SNA, HEVC encoded content data encrypted using the secret distributing scheme was. Consequently, secure shared transcoding is possible, the internal administrator could prevent the attack.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.655-660
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• 2017

The purpose of this study is to investigate the effect of College Students' Ego Status on career aspiration and job choice value. In order to investigate this questionnaire, 120 students from the Tourism Management Department of S University in Gyeonggi-do were surveyed. The questionnaire was reconstructed on the basis of previous studies and total of 45 items. Survey items of career choice value were 7 items including leadership desire, professionalism, direct improvement, social contribution, intellectual value calculation, vacation guarantee, salary Level. As a result of the study, it was found that career aspiration and job choice value were highly correlated with each other and that egogram structure showed a high correlation with adult ego status. Also, the higher the career aspiration and the higher the adult ego status, the higher the value of job choice. Based on the above results, the analysis of the ego-status profile based on the transactional analysis theory can be used as a very useful basic data for exploring the students' career decision, career choice and job choice, I think it will help me to understand and find an alternative career path.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.293-301
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• 2017

Most new products not only suddenly disappear in the market but also quickly cannibalize older products. Under such a circumstance, retailers may have too much stock, and customers may be faced with difficulties discovering products suitable to their preferences among short life cycle products. To address these problems, recommender systems are good solutions. However, most previous recommender systems had difficulty in reflecting changes in customer preferences because the systems employ static customer preferences. In this paper, we propose a recommendation methodology that considers dynamic customer preferences. The proposed methodology consists of dynamic customer profile creation, neighborhood formation, and recommendation list generation. For the experiments, we employ a mobile image transaction dataset that has a short product life cycle. Our experimental results demonstrate that the proposed methodology has a higher quality of recommendation than a typical collaborative filtering-based system. From these results, we conclude that the proposed methodology is effective under conditions where most new products have short life cycles. The proposed methodology need to be verified in the physical environment at a future time.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.287-295
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• 2015

The IPTV service has to be converted into an unified media format that fits for a variety of terminal equipments in terms of the bulk high-capacity media contents, and is spending a lot of time in the conversion time of contents including the process of collecting the media contents and extracting the information for conversion. In order to solve the problem, this paper designed the database in accordance with the automatic collection of time, and proposed a system that could increase the productivity of the contents through the automation process of the entire process using the media server and the transcoder. The media server collected contents and extracted information automatically with respect to the contents servers placed in specific locations and the media files of the storage whereas the transcoder conducted the automatic upload of the converted results to a specific server through the process of automatic conversion. As a result, the various convergence through compared to existing conversion method could minimized unnecessary waste of time.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.253-258
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• 2014

Recently, the development of cloud computing technology is developed as soon as smartphones is increases, and increased that users want to receive big data service. Hadoop framework of the big data service is provided to hadoop file system and hadoop mapreduce supported by data-intensive distributed applications. But, smpartphone service using hadoop system is a very vulnerable state to data authentication. In this paper, we propose a initial authentication protocol of hadoop system assisted by smartphone service. Proposed protocol is combine symmetric key cryptography techniques with ECC algorithm in order to support the secure multiple data processing systems. In particular, the proposed protocol to access the system by the user Hadoop when processing data, the initial authentication key and the symmetric key instead of the elliptic curve by using the public key-based security is improved.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.73-86
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• 2014

The purpose of this study is to investigate factors affecting Korean Baby Boomers' life satisfaction. Using data from Demographic Profiles and Welfare Needs of Middle Aged Persons(2010), this study focuses on whether there is a gender difference in predictors of life satisfaction. Analysis results show that there is a significant variability in predictors of life satisfaction by gender. Couple satisfaction, self-rated health status, and expectations for the standard of living after 10 years were significant for both male and female models. It was noticeable to report that internet use level and monthly household income were unique predictors for male model; spouse parent care burden and parent-child satisfaction were unique predictors for female model. These findings suggest that it is vital for policy planners to take gender differences into account when designing and formulating public policies for Korean Baby Boomer.

• Journal of the Korea Society of Computer and Information
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• v.15 no.5
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• pp.49-56
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• 2010

In this paper, we implement a Hadoop based cluster for cloud computing and evaluate the performance of this cluster based on application characteristics by executing RandomTextWriter, WordCount, and PI applications. A RandomTextWriter creates given amount of random words and stores them in the HDFS(Hadoop Distributed File System). A WordCount reads an input file and determines the frequency of a given word per block unit. PI application induces PI value using the Monte Carlo law. During simulation, we investigate the effect of data block size and the number of replications on the execution time of applications. Through simulation, we have confirmed that the execution time of RandomTextWriter was proportional to the number of replications. However, the execution time of WordCount and PI were not affected by the number of replications. Moreover, the execution time of WordCount was optimum when the block size was 64~256MB. Therefore, these results show that the performance of cloud computing system can be enhanced by using a scheduling scheme that considers application's characteristics.