• Journal of Digital Convergence
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• v.15 no.11
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• pp.85-95
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• 2017

The news media report the pledges of presidential candidates, which have important implications for political communication. This study is to investigate the difference between news coverage on the presidential candidate' s pledge and to discuss its implications. The sampled news from the two newspapers were analyzed for content analysis. Frequency analysis and Chi-square analysis are utilized with SPSS. As results, there was no difference in the tone of the article's headlines, but the difference of the tone between the article content was statistically significant. The results means that the media framing affect on the reader's perception. Follow - up study can be suggested a comparative study of past election candidates 'pledge reports, a network analysis for the news language, and a comparative analysis of newspaper coverage and broadcast coverage.

• The Journal of the Convergence on Culture Technology
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• v.3 no.4
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• pp.21-26
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• 2017

The purpose of this study was to analyze the structure of neurophysiological healing in Cho Ji-Hoon's poem "Line" and to use it in literature therapy program. Research shows that action potentials in the human body represent the mind. In other words, the electric charges appear to be the signs of the mind, and the action potentials of all the charges of the human body are integrated together to systematize the mind. Cho Ji-Hoon's poem "Line" resembles the process of collecting, analyzing, synthesizing and reproducing information, which is the function of the human neurophysiological synapse. This is a useful form of poetry in terms of its application to literary therapy programs. If we develop such a form of literary therapy program as Cho Ji-Hoon's poem, it will be more effective in healing process.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.499-506
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• 2016

This study is focused on showing possibilities and limitations of the disabled men roles through the relationships with migrant women in korean novels, furthermore it is discovering the problems and the directions for successful cohabitation of the disabled men and migrant women in Korea. To accomplish this purpose of study, we analyzed and criticized 5 Korean novels which described the life of a disabled man with a migrant woman in Korean multicultural society. As a result, the disabled man in those relationships represented the man who was only true to his own desires or the man of the minority in social restraint due to disability and also those men can be classified as attackers or helpers for their migrant lovers. These formulaic expressions being problematic by themselves also facilitate making distorted images of the disabled men and migrant women.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.17-23
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• 2016

I think it is valuable to make Chinese ancient character 'Inscriptions on Bones and Tortoise Carapaces' hieroglyphics popular by combining with the digital. Because Chinese characters are ideograms, it has a huge visual effect. When it is thought over meanings with imaged data by using digital technology, it can be easier to conflate Chinese academia and humanities academia, moreover other academia that uses Chinese characters such as jurisprudence or business administration. I believe not only union of humanities and natural science in the global era can be the best example of the word 'consilience', which I mentioned before, but also people enjoy usability from educations, invention of learning contents or open learning to a cultural field by coming into wide use. Futhermore, it should contribute to changing the image of Chinese characteristics from existing difficult stereotype to positive image.

• Journal of Internet of Things and Convergence
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• v.6 no.1
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• pp.97-102
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• 2020

Multi-Channel Switch ICs for IoT have integrated several solid state structure low ON-resistance bi-directional relay MOS switches with level shifter to drive high voltage and they should be independently controlled by external serialized logic control. These devices are designed for using in applications requiring high-voltage switching control by low-voltage control signals, such as medical ultra-sound imaging, ink-jet printer control, bare board open/short and leakage test system using Kelvin 4-terminal measurement method. This paper describes implementation of analog switch control block and its verification using Field programmable Gate Array (FPGA) test pattern generation. Each block has been implemented using Verilog hardware description language then simulated by Modelsim and prototyped in a FPGA board. Compare to conventional IC, The proposed architecture can be applied to fields where multiple entities need to be controlled simultaneously in the IoT environment and the proposed pattern generation method can be applied to test similar types of ICs.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.81-87
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• 2015

This study will show the digital forensic model which fights against cyber-crimes to prepare various cyber-crimes. The digital forensic model will be more useful about the investigation of cyber-crimes and arresting criminals after researching the uses of the digital forensic model and cyber-crime rates in South Korea. This model conduct the standardized data with various languages by the language support system through the digital forensic analyzer. This model will send the data to law enforcement reviewing whether or not we ought to prove criminal charges. Moreover, law enforcement can access the file system to find out admissibility of evidence. And this model simplifies lawful investigation about additional investigation. The data, which is conducted and saved by the digital forensic system, will be helpful to protect against the future crimes because of the data.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.600-609
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• 2017

The purpose of this study is to investigate the perception of Pansori non-Specialist After reviewing the need for content development and conducting interviews with Pansori Specialist, the contents of popular Pansori contents It is aimed to derive basic data necessary for development. First, in order to examine the necessity of development of popular Pansori contents, 100 Pansori non-specialists surveyed through the experience of the same popular Pansori Contents revealed that the contents of popular Pansori showed a new aspect of Pansori and it is necessary to develop popular Pansori contents. it is necessary to secure popularity, fun and interest, Convergence with other genres, intrinsic troubles about Pansori, Expansion in to traditional arts, materials suitable for trends, development of lirics, language, music, and professional producers should be considered. Second, As a result of conducting interviews 31 Pansori Specialist in order to provide basic data necessary for the development of popular Pansori contents, its essential to develop popular Pansori contents. and analysis of the public, endless challenges and attempts, material development collaboration with professional worker and expansion.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.299-303
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• 2017

By piling up hidden layers in artificial neural networks, deep learning is delivering outstanding performances for high-level abstraction problems such as object/speech recognition and natural language processing. Alternatively, deep-learning users often struggle with the tremendous amounts of time and resources that are required to train deep neural networks. To alleviate this computational challenge, many approaches have been proposed in a diversity of areas. In this work, two of the existing Apache Spark-based acceleration frameworks for deep learning (SparkNet and DeepSpark) are compared and analyzed in terms of the training accuracy and the time demands. In the authors' experiments with the CIFAR-10 and CIFAR-100 benchmark datasets, SparkNet showed a more stable convergence behavior than DeepSpark; but in terms of the training accuracy, DeepSpark delivered a higher classification accuracy of approximately 15%. For some of the cases, DeepSpark also outperformed the sequential implementation running on a single machine in terms of both the accuracy and the running time.

• Journal of The Korean Association of Information Education
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• v.21 no.5
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• pp.497-507
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• 2017

Research on software education and linking and convergence of other subjects has been mainly focused on mathematics and science subjects. The dissatisfaction of various preferences and types of learning personality cause to learning gap. In addition, it is not desirable considering the solution of various fusion problems that can apply the computational thinking. In this way, it is possible to embrace the diverse tendencies and preferences of students through the linkage with the English subject, which is a linguistic approach that deviates from the existing mathematical and scientific approach. By combining similarities in the process of learning a new language of English education and software education. For this purpose, based on the analysis of teaching - learning model of elementary English subject and software education, we developed a class model by modifying existing English subject and software teaching - learning model to be suitable for linkage. Then, the learning elements applicable to software education were extracted from the contents of elementary school English curriculum, and a program applied to the developed classroom model was designed and the practical application method of learning was searched.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.655-667
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• 2014

This paper has identified five major categories of the T2D patients' concerns based on an online forum where the patients voluntarily verbalized their naturally occurring emotional reactions and concerns related to T2D. We have emphasized the fact that the lexical and phrasal analysis brought to the forefront the prevailing negative reactions and desires for clear information, professional advice, and emotional support. This study used lexical and phrasal analysis based on text-mining tools to estimate the potential of using a large sample of patient conversation of a specific disease posted on the internet for clinical features and patients' emotions. As a result, the study showed that quantitative analysis based on text-mining is a viable method of generalizing the psychological concerns and features of T2D patients.