• Journal of Digital Convergence
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• v.18 no.2
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• pp.277-284
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• 2020

Text mining is a representative method of big data analysis that extracts meaningful information from unstructured and large amounts of text data. Social media such as Twitter generates hundreds of thousands of data per second and acts as a one-person media that instantly and directly expresses public opinions and ideas. The traditional media are delivering informations, criticizing society, and forming public opinions. For this, we compare the responses of SNS with the responses of media on the issue of the termination of the Korea-Japan GSOMIA (General Security of Military Information Agreement), one of the domestic issues in the second half of 2019. Data collected from 201,728 tweets and 20,698 newspaper articles were analyzed by sentiment analysis, association keyword analysis, and cluster analysis. As a result, SNS tends to respond positively to this issue, and the media tends to react negatively. In association keyword analysis, SNS shows positive views on domestic issues such as "destruction, decision, we," while the media shows negative views on external issues such as "disappointment, regret, concern". SNS is faster and more powerful than media when studying or creating social trends and opinions, rather than the function of information delivery. This can complement the role of the media that reflects public perception.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.366-373
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• 2020

This study explored the factors associated with dependence among smartphone-dependent adults in their 20s. The data was derived from the 2017 survey on smartphone over-dependence conducted by the Ministry of Science and ICT and the National Information Society Agency. The participants were 879 adults in their 20s. The data was analyzed by frequencies, percentages, means, standard deviations, independent t-tests, Pearson's correlation coefficients, and multiple regression analysis. The results revealed instant messengers as the most used application by participants. Participants in the high risk category of dependence also used SNS (Social Networking Services), music, and games more than those in the potential risk category. The more serious the dependence, the greater the frequency of smartphone use (β=.16, p=.000), and use of games (β=.10, p=.028), webtoons (β=.14, p=.004), SNS (β=.09, p=.047), and financial transactions (β=.17, p=.000). They did not recognize their smartphone dependence when it was relatively low. However, when this became serious, they then realized that they depended on the smartphone more than others. That means that it is not easy for adults to recognize their smartphone dependence on their own. However, recognition of the problem is the first step for adults to solve their problems. A program that evaluates their problematic smartphone use should be installed and used on all smartphones.

• International Commerce and Information Review
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• v.13 no.3
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• pp.55-74
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• 2011

Web Service applications based on the social relation such as Social Network Service(SNS), Social Medias are making strong blast. Social Computing which is widely spreading to worldwide is affecting to our life including policies, economies, societies and culture. Based on Web 2.0, various services like as Social Collaboration, Social Publishing, Social Feedback are supplied, more evolved social computing services, Social Connection, Augmented Reality, will be served for the next days from now. These network based services, Social Network Service or Social Media frequently used terms, are not defined exactly and their characteristics are not gotten to the bottom yet. Theoretical and systematic studies on these themes are not made also. Applications to business area, especially the receptivity to social computing in international trade is barely made to these days. This study focuses on the concepts, characteristics and sorts of social computing and purposes to consider its possibilities of application of social computing to international trade. Considering the advantage of Social network service, it can be used in international trade, a kind of B2B transaction, while existing social network is mainly applied to B2e transaction.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.285-292
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• 2019

With the popularization of PC, SNS and IoT, a lot of data is generated and the amount is increasing exponentially. Artificial neural network learning is a topic that attracts attention in many fields in recent years by using huge amounts of data. Artificial neural network learning has shown tremendous potential in speech recognition and image recognition, and is widely applied to a variety of complex areas such as medical diagnosis, artificial intelligence games, and face recognition. The results of artificial neural networks are accurate enough to surpass real human beings. Despite these many advantages, privacy problems still exist in artificial neural network learning. Learning data for artificial neural network learning includes various information including personal sensitive information, so that privacy can be exposed due to malicious attackers. There is a privacy risk that occurs when an attacker interferes with learning and degrades learning or attacks a model that has completed learning. In this paper, we analyze the attack method of the recently proposed neural network model and its privacy protection method.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.687-698
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• 2022

Purpose: This study was conducted to understand the public awareness of landslide and check dams in 2015-2020 using the big data platform 'Hyean' and to confirm the utilization of this platform in disaster prevention areas. Method: The total amount, number of detection by period by media, and affirmative and negative trends of a search for 'landslide' and 'check dam' in 2015-2020 were analyzed using a keyword search of 'Hyean.' Result: There is significant lack of public awareness of check dam compared to landslide, and the trend is more noticeable in the conspicuous gap of data amount between the news and SNS media. The number and the timing of the search for 'landslide' coincided with the actual occurrence of landslide, while the detection of 'check dam' was less related to it. Relatively affirmative preception for the check dam is inferred, but it was difficult to confirm accurate statistical affirmative and negative trends in the disaster prevention field using 'Hyean.' Conclusion: Unlike the experts who expect positive public awareness of check dam, the statistic results show that the public awareness of the check dam as an effective countermeasure against landslide was extremely low. Active promotion of erosion control projects should be carried out first, and a balanced sample survey should accompany online and periodic field surveys. Since there is a limit to grasping the effective perception in the field of disaster prevention area using 'Hyean', it should be very cautious to establish local/governmental policies using it.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.3
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• pp.67-91
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• 2021

The purposes of this study is to identify the perception of students' use of university libraries' public relations activities using Instagram and propose ways to improve the operation of university libraries' Instagram. To this end, the status of Instagram operations of domestic and foreign university libraries was investigated, and a survey was conducted on 292 students who used the library Instagram of their universities. Based on the research results, first, it is necessary to promote the use of libraries by using 'Library Events' information closely related to the use of Instagram by students, but planning ways to participate that can lead to practical use of libraries. Second, it is necessary to promote the role of librarians through Instagram and utilize daily communication information in order to positively affect library image recognition. Third, it is necessary to guide users on how to inquire on library Instagram and actively respond to communication with users through periodic post uploads and monitoring.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.904-906
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• 2016

In this paper, advertising and public relations services to provide kincet to implement a control system using face recognition and media. Traditionally, this unilateral system for delivering advertisements to consumers, is currently directed interactive ads. In other words, interactive advertising service that offers bi-directional communication. In the proposed system, the kincet using face recognition, to recognize faces with eyes, mouth, jaws and eyebrows. Presently used kinect version is the face of instability in the recognition and accurately is difficult to separate the three parts of the jaw, eyes, eyebrows only leverage. the classification has an easy immoyangProvide control services by separating the media, Hwanam-myeon, laughing. Also, consumers understand the expression of the control of the media and using picture for advertising to consumers through the transfer on both had indelibly imprinted by advertising.Effective are expected to appear.

• Journal of The Korean Association of Information Education
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• v.16 no.1
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• pp.1-10
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• 2012

The purpose of this paper is a study of survey about teachers' attitude and recognition of education using newest information technology such as s-learning, social network and Web 3.0. We researched for elementary school teachers about recognition of the newest IT trend, educational necessity and effect of the newest IT. As a result, recognition and understanding of the newest IT is low but teachers think that effect of education using the newest IT is very high. Moreover, they have a lot of will for using the newest IT devices and training about the newest IT. However, it shows that they are diffident of taking charge of the newest IT and teaching for students using it. Also, the results showed different tendency as generations. This study would be a important role for deciding on direction of informatics education for 21C.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.434-435
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• 2023

사회 환경적 운동의 하나인 플로깅(Plogging)은 조깅을 하며 길거리의 쓰레기를 줍는 행위를 소셜 네트워크 서비스(SNS) 등에 기록하는 사회 환경적 운동의 일환이다. 그러나, 활동 지역이나 쓰레기의 종류 및 양 등을 직접 입력해야 하는 불편함으로 인해 이러한 활동의 확대를 저해할 수도 있다. 본 연구는 이러한 활동 기록를 자동으로 트래킹하고 기록할 수 있는 딥러닝 기반의 플로깅 트래핑어플리케이션을 개발하였다. CNN과 YOLOv5를 사용하여 학습된 이미지 인식 모델은 높은 성능으로 쓰레기의 종류와 양을 인식하였다. 이를 통해 사용자는 더욱 편리하게 플로깅 활동을 기록할 수 있었으며, 수거한 쓰레기의 양이나 활동 거리를 활용한 리워딩 시스템으로 사용자 간의 건전한 경쟁을 유도하는데 활용할 수 있다.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.59-69
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• 2019

The present study explored consumer's perception and preference on providing information of fashion products by using QR code and suggested the possibility for consumer-to-consumer and consumer-to-company connection. A survey was conducted on males and females in their 20s-a population among whom the rate of smart phone penetration is higher than in any other age group and who tend to exchange information online. The results showed that consumers are dissatisfied with the amount of information, terms of instructions, and ambiguous washing symbols currently provided. Therefore, the study identified the need for better methods of providing information and found that QR code, which is able to deliver high-quality information on fashion products, can be an efficient alternative. Moreover, respondents felt the need for detailed washing instructions, information on handling, and functionality of material on high-involvement fashion products such as outdoor, padding, suit, and underwear worn next to the skin. They also desire styling tips or purchasing information such as SNS OOTD (Outfit Of The Day) utilizing the product, other products that may go well with the one purchased, and similar products on casual wear and coat used on a daily basis. Therefore, QR code used as a link to information web pages or a social network can help consumers to satisfy information needs and to use the products effectively.