• Journal of Digital Contents Society
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• v.19 no.2
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• pp.293-300
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• 2018

This study explored the security of Industry 4.0 such as security trends and security threats in Industry 4.0, and security system in Industry 4.0. The threat elements in Industry 4.0 are changing from ICT to IoT and to CPS security, so security paradigm and security System should change accordingly. In particular, environmental and administrative security are more important to solve CPS security. The fourth industry-age security should change to customized security for individual systems, suggesting that the security technology that combines hardware and software in product production design should change from the beginning of development. The security system of the fourth industry proposes design and implementation as a CPS security system as a security system that can accommodate various devices and platforms from a security system in a single system such as a network to an individual system.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.393-399
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• 2018

As the existing face recognition CCTV and home IOT have each individual hardware component, they have a disadvantage that the measured results of their sensors and the CCTV can not be viewed on one screen at a time. In order to overcome the above disadvantages of existing CCTV and home IOT, this paper proposes an integrated platform which constitutes the CCTV and home IOT as one hardware component using Raspberry Pi and shows each result on one screen through Smartphone application. The proposed integrated platform CCTV and home IOT system is a system which can run the application as a Smartphone and check the sensor value measured by Raspberry Pi and the picture taken through the Pi camera. The implemented system measures temperature, humidity, gas, and dust, and implements face recognition technology on a screen shot through a Pi camera, allowing it to be seen at a glance with a Smartphone.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.237-243
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• 2018

Most of public underground facilities are installed under the ground, thus it is difficult to recognize the accurate location even with the drawings. Studies are conducted to understand exact position of underground facilities using augmented reality. However, in those studies, establishing of additional 3D object model database is needed when AR system is used at field. Because most of public underground facility information are established as 2 dimensional. In this study, AR system is developed as mobile application which can use original 2D underground facility data to transfer 3D AR data automatically without additional 3D database establishment.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.377-383
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• 2018

Internet of Things (IoT) is producing various data as the smart environment comes. The IoT data collection is used as important data to judge systems's status. Therefore, it is important to monitor the anomaly state of the sensor in real-time and to detect anomaly data. However, it is necessary to convert the IoT data into a normalized data structure for anomaly detection because of the variety of data structures and protocols. Thus, we can expect a good quality effect such as accurate analysis data quality and service quality. In this paper, we propose an anomaly detection system based on big data from collected sensor data. The proposed system is applied to ensure anomaly detection and keep data quality. In addition, we applied the machine learning model of support vector machine using anomaly detection based on time-series data. As a result, machine learning using preprocessed data was able to accurately detect and predict anomaly.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.301-307
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• 2018

Generally, search engine summarizes the main contents of the search results so that user can click the site providing the information of the contents to search first. In this study, we demonstrated whether the user clicks on the search results based on the summary content provided by the search engine or on the order of the search result placement through empirical studies through the presentation of search results. By using the API provided by the search engine company, a search site that presents the search results in a regular and inverse order is created, and the click action of each user's search result is displayed in the order of actual click order, click position, and the user's search type such as the route of movement. As a result of the analysis, most users account for more than 60% of users who click on the first and second exposed search results regardless of the search results. It is confirmed that the search priority of users is determined according to the order of search results regardless of the summary of search results.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.269-276
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• 2018

The purpose of the study is to verify whether literature therapy program for prevention of smartphone addiction is effective for adolescents. The subjects of this study were 150 students of J City, K middle school. After completing the program, they were conducted post-test for both the experimental and control groups. The study found that the program was effective in mitigating smartphone addiction but not in reducing the directed life problem. It was also found to be effective in reducing tolerance and loss of control and problems of withdrawal and emotional experience. The study suggests that institutional arrangements are needed for linking with related organizations in the region because it is difficult to effectively prevent the increasing problem of smartphone addiction unless an adolescents program for youth is linked to the school. Therefore, it is necessary to conduct parent education for prevention of smartphone addiction in computer curriculum of school subjects.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.351-362
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• 2018

This study investigated how Schwartz' value system(1992) would interfere with SNS users' motivations and behavioral responses. The study result shows that values are characterized in terms of openness, mutual reciprocity, self enhancement, normative compliance, and security. Each of them exerted differential impact on SNS usage motives, social capital, ad response, and word-of-mouth, among others. The five values were used as an input for segmenting SNS users and clustering method produced four value segments; experience seeker, interdependent sympathizer, self enhancer, and norm-bound. Each value group not only influenced SNS perceptions and behavioral responses differently, but also showed a systematic relationship with SNS service types. The study findings demonstrate that Schwartz's value system provides a very useful theoretical basis for understanding the psychological mechanism underlying SNS usage.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.385-392
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• 2018

Iksan is one of medium city in Jellabukdo, South Korea. It has a favorable natural environment for the specialization potential of natural industries and development projects. In addition, it has various historical and cultural resources including Mireuksajji, and KTX Honam line which has been opened for a representative feature as transport city. However, it faces week connection with neighboring cities and large scale of development in neighboring areas, especially in Jeonju and Gunsan. In this paper, we try to classify the urban image assets of Iksan as 'Iksan Station' and 'ktx' on keywords and analyze the possibility of being a center of transportation and logistics through big data analysis extracted from SNS and website. In comparison with Gwangju Songjeong, KTX Honam line station, which has been developed with similar regional characteristics, it is aimed to establish the basis of improvement and establishment of urban image of Iksan city in the future.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.415-423
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• 2018

In recent years, Computer-based learning, such as machine learning and deep learning in the computer field, is attracting attention. They start learning from the lowest level and propagate the result to the highest level to calculate the final result. Research literature has shown that systematic learning and growth can yield good results. However, systematic models based on systematic models are hard to find, compared to various and extensive research attempts. To this end, this paper proposes the first TNT(Transitive Nested Triangle)model, which is a growth and fusion model that can be used in various aspects. This model can be said to be a recursive model in which each function formed through geometric forms an organic hierarchical relationship, and the result is used again as they grow and converge to the top. That is, it is an analytical method called 'Horizontal Sibling Merges and Upward Convergence'. This model is applicable to various aspects. In this study, we focus on explaining the TNT model.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.221-228
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• 2018

This study mainly focused on horror movies and horror games. Camera angles of horror movies and compositions of horror games are main factors that can cause fear in people's minds. Through analyzing four kinds of factors, including sensual, expectant, restrictive and executive fear elements, in horror games, and combining with the patterns of camera angles and film techniques that Alfred Hitchcock applied in his horror movies, this research investigated certain types of compositions and concluded ones that were more effective on growing fear in players' minds and enhancing their involvement. In conclusion, only the combination of factors in horror-game compositions, like diagonal composition, dual-diagonal composition and inverse triangle-line composition, with visual elements enables player's growing sense of fear and the increase in involvement. Therefore, future works should apply more of these fear-inducing compositions.