• Journal of the Korea Convergence Society
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• v.6 no.4
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• pp.187-195
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• 2015

In the knowledge and information society which came into being with the advancements made in information and communication technology, there is an increasing perception of the importance of having knowledge and therefore being able to appropriately respond to the rapidly-changing society. Along with this, for the paradigm that stresses creativity and character, there must accompany advanced ways of conducting education which are capable of supporting changes in the educational objectives and contents. With respect to this, there is a need for sustained and long-term research into ways of utilizing SNS and ICT in the field of education. Accordingly, in this paper, a digital curation system was developed for educational contents that aim to develop one's creativity and character. Recently, web hacking is taking place actively. In this paper, a digital curation system that is secure against WebShell - one of the web hacking methods - is analyzed, as well as how to appropriately deal with this type of an attack.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.666-668
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• 2015

Recent domestic IoT (Internet Of Things) technologies and research is being actively conducted, it actually provides power control, heating control such services in the home or office. Depending on the interest of the IoT so as to provide convenient services to users also increased their users are increasingly questioning or wondering about the operation of IoT system. The system representing an easy to understand the operation of the IoT system is required in order to meet the requirements of those users. For this purpose this paper, Swing utilization by user, sensor, SNS (Social Network Service) when an event occurs, such as the relationship between devices bearing the collaboration process can be monitored with a simulation program was designed and implemented.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.109-122
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• 2014

People are nowadays creating a tremendous amount of data on Social Network Service (SNS). In particular, the incorporation of SNS into mobile devices has resulted in massive amounts of data generation, thereby greatly influencing society. This is an unmatched phenomenon in history, and now we live in the Age of Big Data. SNS Data is defined as a condition of Big Data where the amount of data (volume), data input and output speeds (velocity), and the variety of data types (variety) are satisfied. If someone intends to discover the trend of an issue in SNS Big Data, this information can be used as a new important source for the creation of new values because this information covers the whole of society. In this study, a Twitter Issue Tracking System (TITS) is designed and established to meet the needs of analyzing SNS Big Data. TITS extracts issues from Twitter texts and visualizes them on the web. The proposed system provides the following four functions: (1) Provide the topic keyword set that corresponds to daily ranking; (2) Visualize the daily time series graph of a topic for the duration of a month; (3) Provide the importance of a topic through a treemap based on the score system and frequency; (4) Visualize the daily time-series graph of keywords by searching the keyword; The present study analyzes the Big Data generated by SNS in real time. SNS Big Data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. In addition, such analysis requires the latest big data technology to process rapidly a large amount of real-time data, such as the Hadoop distributed system or NoSQL, which is an alternative to relational database. We built TITS based on Hadoop to optimize the processing of big data because Hadoop is designed to scale up from single node computing to thousands of machines. Furthermore, we use MongoDB, which is classified as a NoSQL database. In addition, MongoDB is an open source platform, document-oriented database that provides high performance, high availability, and automatic scaling. Unlike existing relational database, there are no schema or tables with MongoDB, and its most important goal is that of data accessibility and data processing performance. In the Age of Big Data, the visualization of Big Data is more attractive to the Big Data community because it helps analysts to examine such data easily and clearly. Therefore, TITS uses the d3.js library as a visualization tool. This library is designed for the purpose of creating Data Driven Documents that bind document object model (DOM) and any data; the interaction between data is easy and useful for managing real-time data stream with smooth animation. In addition, TITS uses a bootstrap made of pre-configured plug-in style sheets and JavaScript libraries to build a web system. The TITS Graphical User Interface (GUI) is designed using these libraries, and it is capable of detecting issues on Twitter in an easy and intuitive manner. The proposed work demonstrates the superiority of our issue detection techniques by matching detected issues with corresponding online news articles. The contributions of the present study are threefold. First, we suggest an alternative approach to real-time big data analysis, which has become an extremely important issue. Second, we apply a topic modeling technique that is used in various research areas, including Library and Information Science (LIS). Based on this, we can confirm the utility of storytelling and time series analysis. Third, we develop a web-based system, and make the system available for the real-time discovery of topics. The present study conducted experiments with nearly 150 million tweets in Korea during March 2013.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.255-260
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• 2020

In this paper, I propose an efficient brand identity strategy by topic modeling the Instagram posts, one of SNS(Social Network Service) having more than 1billion world-wide and 500 million daily users. Since the 92% age groups of the Instagram is 18~50 years old (59% 18~29y and 33% 30~49), I set research analysis target three mobile commerce sites to dress and cosmetics sales sites that sale apparels cosmetics and gadgets that recently opened and have operated marketing on diverse channel including SNS. By topic modeling SNS posts for 6 months after launching the site that tagged each m-commerce site brand name or company name, I validate companies' brand identity strategy works effectively and suggest moderation of strategy for brand image. As a result, I found one of three mobile commerce site has different brand image by users and need different identity set up.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.409-412
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• 2012

This Paper studied out prototype and the structure of Cultural Archetype Contents on Social Network Game. Interaction with the platform have the information that aims to develop relationships with SNG. The paradigm is changing the Cultural Archetype Contents. Today Cultural Archetype Contents is a major topic in Game Contents and this issue has influenced the game design and Story Telling. And I hope that they will be fine an alternative strategy of Cultural Archetype Contents and SNG.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.60-69
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• 2011

As the mobile industry has developed, people have become to pursue more delicate information exchange and close relationships between individuals through it. According to such a request, Social Networking Services have been activated based on short messages. Moreover, in combination with smart phones, the needs for adding location information is recently increasing more and more. Security and Privacy problems, however, are raised because such location information is so sensitive and may be used maliciously by someone else. Especially, storing location information of family members in a public server may become a negative factor to hinder people from utilizing such services. Therefore, this paper proposes a location based SNS service using smart phones for home community that runs on a home server in a house so that relationships between family members at home may be closer and improved through utilizing the service.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.47-59
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• 2019

The purpose of this study was to investigate the relationship between demographic characteristics, self - esteem, and attachment instability (attachment anxiety, attachment avoidance) in the college students' SNS addiction tendency. To investigate the influencing factors on SNS addiction tendency of college students, we surveyed 330 college students at universities in the metropolitan area through offline and online questionnaires, and analyzed 271 valid ones. Frequency analysis, descriptive statistics, variance analysis, Pearson correlation analysis and multiple regression analysis were performed. The results of the analysis are as follows. First, 87.4% of college students used SNS, and the most used SNS was 'Facebook (82.3%)'. The most frequent use of SNS per day was 'over 1 hour ~ less than 2 hours (24.7%)'. Second, women had a significantly higher SNS addiction tendency than men. Third, self-esteem and SNS addiction tendency showed significant negative correlation. Fourth, attachment anxiety and attachment avoidance were positively correlated with SNS addiction tendency. Fifth, the self-esteem of college students affects negatively on the SNS addiction tendency and only the attachment anxiety among attachment instability affects the addiction tendency. Finally, we discussed the risk of SNS addiction according to the characteristics of university students.

• Journal of KIISE:Software and Applications
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• v.36 no.8
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• pp.673-682
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• 2009

Recently, photo sharing and publishing based Social Network Sites(SNSs) are increasingly attracting the attention of academic and industry researches. Unlike the face recognition environment addressed by existing works, face annotation problem under SNSs is differentiated in terms of daily updated images database, a limited number of training set and millions of users. Thus, conventional approach may not deal with these problems. In this paper, we proposed a face annotation method for sharing and publishing photographs that contain faces under a social network service using random projection, non-linear regression and representational state transfer. Our experiments on several databases show that the proposed method records an almost constant execution time with comparable accuracy of the PCA-SVM classifier.

• The Journal of Information Systems
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• v.27 no.1
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• pp.67-88
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• 2018

Purpose The purpose of this study is to verify motivations of corporate Facebook usage and to examine the impacts of usage motivations on brand attachment, trust and loyalty. Design/methodology/approach A conceptual model is developed based on Self-determination theory(SDT) and the previous studies. We conducted a web survey with a convenient sample of 121 Facebook users who clicked "Like" button on the corporate Facebook pages. Findings The followings are the findings of the study. First, intrinsic motivation(Entertainment) turned out to have positive effects on brand attachment. Second, extrinsic motivation(information exchange) turned out to have positive effects on brand trust. Third, brand attachment turned out to have positive effects on brand loyalty. These findings provide a valuable basis for constructing an explanatory model for "Like"-clicking behaviors of corporate's Facebook community platform users, as well as making significant practical contributions to enhance social and commercial benefits for businesses and individuals.

• Journal of the Korea Safety Management & Science
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• v.23 no.4
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• pp.11-21
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• 2021

In order to explore the job crafting experience of millennial safety workers, this study conducted a qualitative case research with five safety workers of S Energy from March 26 to September 27, 2021 . As a result of the analysis, task crafting showed 'matching one's strong suit with a given task', 'expanding work knowledge using social network service (SNS)', and 'making changes in job performance methods for preemptive safety management activities'. Also, Cognitive crafting showed 'recognition of social vocation as a safety job', 'recognition of a role to grow as a safety management expert', and 'cognitive changes from means of organizational adaptation to enjoyment and energy of life'. At the same time, in relation crafting, 'establishment of amicable relationships through SNS in non-face-to-face and rapid communicating situations', 'safety management made through with mutual cooperations between business people', and 'reborn as a mutual safety net in business relationships' appeared. These can be used as basic data to accumulate the theoretical basis for job crafting research of millennial safety workers and to improve their job satisfaction. A follow-up study was proposed for safety workers with occupations of various kinds.