• Journal of The Korean Association of Information Education
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• v.13 no.1
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• pp.85-95
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• 2009

The web is shifting from being a medium in which information is transmitted and consumed, into being a platform in which contents are created, shared, repurposed. Web 2.0 applications are those that make the most of the intrinsic advantages of that platform. This thesis proposed a learning system based on web 2.0 for promoting statistics literacy. For this, I proposed students to create UCC(User Created Contents) data to learn principle of statistics and practical use of statistical data. To examine educational effectiveness of this study, an experimental study was conducted through the education content and method to the subject of one class in the first-grade of university located in OO city. As a result, the student understanded basic principle on statistics and perceived importance of statistics literacy and presented positive responses to statistics. In conclusion, it is confirmed that it is possible to provide effective education for students if the statistics literacy is proposed to proper education method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.7
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• pp.949-955
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• 2018

Hardware-in-the-loop (HIL) simulation is a technique that can be employed for developing and testing complex real-time embedded systems. HIL simulation provides an effective platform for verifying power management system (PMS) performance of liquefied natural gas carriers, which are high value-added vessels such as offshore plants. However, HIL tests conducted by research institutes, including domestic shipyards, can be protracted. To address the said issue, this study proposes a field programmable gate array (FPGA) based PMS-HIL simulator that comprises a power supply, consumer, control console, and main switchboard. The proposed HIL simulation platform incorporated actual equipment data while conducting load sharing PMS tests. The proposed system was verified through symmetric, asymmetric, and fixed load sharing tests. The proposed system can thus potentially replace the standard factory acceptance tests. Furthermore, the proposed simulator can be helpful in developing additional systems for vessel automation and autonomous operation, including the development of energy management systems.

• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.1013-1023
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• 2019

In content consumption environment with various live TV channels, VoD contents and web contents, recommendation service is now a necessity, not an option. Currently, various kinds of recommendation services are provided in the OTT service or the IPTV service, such as recommending popular contents or recommending related contents which similar to the content watched by the user. However, in the case of a content viewing environment through TV or IPTV which shares one TV and a TV set-top box, it is difficult to recommend proper content to a specific user because one or more usage histories are accumulated in one subscription information. To solve this problem, this paper interprets the concept of family as {user, time}, extends the existing recommendation relationship defined as {user, content} to {user, time, content} and proposes a method based on deep learning algorithm. Through the proposed method, we evaluate the recommendation performance qualitatively and quantitatively, and verify that our proposed model is improved in recommendation accuracy compared with the conventional method.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.16-21
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• 2019

Small and medium-sized Korean companies are currently changing their industrial structure faster than in the past due to various environmental factors (such as securing competitiveness and developing excellent products). In particular, the importance of collecting and utilizing data produced in smart factory environments is increasing as diverse devices related to artificial intelligence are put into manufacturing sites. This paper proposes an artificial intelligence-based smart factory model to improve the process of products produced at the manufacturing site with the recent smart factory. The proposed model aims to ensure the increasingly competitive manufacturing environment and minimize production costs. The proposed model is managed by considering not only information on products produced at the site of smart factory based on artificial intelligence, but also labour force consumed in the production of products, working hours and operating plant machinery. In addition, data produced in the proposed model can be linked with similar companies and share information, enabling strategic cooperation between enterprises in manufacturing site operations.

• Journal of the Korean Society for information Management
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• v.35 no.4
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• pp.107-124
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• 2018

Mendeley readership data could be used to understand how research outcome be spent outside of academia in multi way. So it could be utilized to understand unknown world which citation rate could not explain still now. This study, by conducting a country network analysis using Mendeley's co readership data about articles of Korea related research, clusters countries that share common academic interest. As a result, the US and other advanced countries in all fields showed high overall and regional centrality, indicating that they have overall cooperation and potential for exchange of Korea related studies. Some developing countries have shown high regional centrality and are linked to common academic interests. In the medical and social sciences, the OECD and developing countries have formed a separate group of readers, and the engineering sector has been characterized by emerging developing countries as a large community of readers. In addition, engineering science field has shown that network density is relatively high, so there might be high possibility of academic exchanges, knowledge dissemination and cooperation among countries.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.887-888
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• 2016

Internet data for IoT(Internet of Things) period was changed in such a way that the data is done by sharing information for the user. However, in the existing system IoT environment for the user to utilize the system it has a problem does not take into account the individual characteristics. And there must be an intermediate vectors are capable of controlling problems such as Dongle. In this paper, through the flow sensor control applications as a way to solve this problem to control the flow of the sensor according to the characteristics desired by the user. Due to this makes it possible to easily manage the sensor compared to conventional IoT environment. Accordingly, the user must manage the sensor through the application regardless of time and place. So it is believed to reduce the unnecessary power consumption is possible effective control sensor.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.37-46
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• 2019

Humans have anxieties as well as expectations for artificial intelligence. This study attempted to identify the expectation and anxiety factors affecting the attitude toward artificial intelligence innovation and to ascertain how much influence they have on current artificial intelligence innovation. This study considered that attitudes toward artificial intelligence may be different for each generation sharing a similar technology change culture. Therefore, the researchers limited the research subjects to I generation, which is the main users of artificial intelligence in the future. As a main result, the factors of expectiation of 'performance gain', 'positive social impact', and the factor of anxiety of 'threat to human-oriented social value' were drawn, and these factors influenced weak and strong artificial intelligence respectively. The results of this study suggests that artificial intelligence should develop into a pleasant relationship with humankind.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.125-132
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• 2021

This study deals with the influencing factors on flow and addiction perceived by users of Tiktok service, an SFV service platform that is expanding the market in the middle area between social media and OTT. As the number of Tiktok users increases, researchers thought that research on the cause of addiction would be necessary. Since media users lack media consumption time, they produce and share SFVs rather than long videos, and are affected by exogenous variables. In addition, attachment is divided into interpersonal relationships and attachment to services, and the path of attachment was confirmed to be connected to flow and addiction. Through this study, the researchers considered that there were theoretical and practical contributions in that the path leading to addiction of video media services was set and verified as self-exposure and attachment, flow and addiction. These research results can be applied to more diversified video-centered media services, and can be expected to be used for new media emerging in the future.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.53-62
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• 2020

In the end-user domain of an IoT environment, there are more and more intelligent M2M devices that provide resources to create and share application services. Therefore, it can be very useful to manage trust by transferring the role of the existing centralized service provider to end users in a P2P environment. However, in a decentralized M2M computing environment where end users independently provide or consume services, mutual trust building is the most important factor. This is because malicious users trying to build malfunctioning services can cause security problems in M2M computing environments such as IoT. In this paper, we provide an integrated analysis and approach for trust evaluation of M2M application services, and an optimized trust evaluation model that can guarantee reliability among users of the M2M community.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.263-272
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• 2023

In recent times, short videos have become highly popular among college students, serving as a vibrant platform for information sharing and self-expression, while fostering a unique culture. However, their excessive consumption can lead to negative effects like reduced concentration and information overload, necessitating a balanced approach and self-control. Our study examined the impact of different characteristics of short video media on college students' organizational commitment and mental health. The findings highlighted that attributes such as accessibility and immediacy positively influence different levels of engagement, and that organizational commitment significantly affects students' mental well-being. The research underscores the importance of judicious use of short video media to positively affect college students' mental health.