• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.477-487
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• 2016

In 1995, the filming location of the drama had been famous, and as a result it brings the effect of increasing tourists of that areas. After that, many local governments try to host the filming on their regions to be potential tourist attractions. With the same stream, Jeonju also has attempted to host International Film Festival and to set up Jeonju Film Commission and Jeonju Cinema Complex. However, although the city already has rich infrastructure facilities to make films, the city hardly tries to use the filming locations as tourist attractions. This study suggests four ways of using filming locations as tourist attractions to activate Jeonju economy and improve Jeonju's cultural image. We firstly collect social bigdata related with tourists of filming locations and tourist attractions in Jeonju from Twitter, which is the most representative SNS, and then perform frequency and trend analysis. We also investigate major factors of visits to tourist's attractions based on content analysis of tweet mentions.

• The Journal of Bigdata
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• v.2 no.1
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• pp.27-39
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• 2017

The importance of online communication is getting increased by the rapid growth of smartphone supply and Social Network Service (SNS) use. Catching up with the trend, firms are actively use SNS to improve brand image, promote products, and communicate with customer. On the one hand, SNS is the channel for firms' marketing activities, but on the other, it is also the channel where the events related to the firms propagate in real time. Firms are led to unexpected state of crisis, when events are quickly spread out on SNS. Then firms are assessed their image by the way they deal with the state of crisis. This paper proposes to figure out user response on SNS according to each crisis response strategies by analyzing event-related twitter data when crisis situations of firms arise. We classify crisis response strategies into response attitude, defensive and accommodative response, and response speed, fast and slow response. This paper suggests optimal crisis response strategy to firms regarding state of crisis propagated on SNS.

• Journal of Internet Computing and Services
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• v.15 no.1
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• pp.125-134
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• 2014

As the social media which was simple communication media is activated on account of twitter and facebook, it's usability and importance are growing recently. Although many companies are making full use of its the capacity of information diffusion for marketing, the adverse effects of this capacity are growing. Because social network is formed and communicates based on friendships and relationships, the spreading speed of the spam and mal-ware is very swift. In this paper, we draw parameters affecting malicious data diffusion in social network environment, and compare and analyze the diffusion capacity of each parameters by propagation experiment with XSS Worm and Koobface Worm. In addition, we discuss the structural characteristics of social network environment and then proposed malicious data propagation model based on parameters affecting information diffusion. n this paper, we made up BA and HK models based on SI model, dynamic model, to conduct the experiments, and as a result of the experiments it was proved that parameters which effect on propagation of XSS Worm and Koobface Worm are clustering coefficient and closeness centrality.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.935-937
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• 2013

Currently, depending on the penetration of the mobile device, age of one person one mobile device is open. It is a time when mobile equipment is located to the depths of human life that much. However, equipment for new mobile devices full of, was in the existing, tend to sleeping in the house or abandoned. It is determined that you build one server in a mobile device that individuals have, to be able to break out of the framework of the existing service Twitter and blogs, such as Facebook, and to create multiple Web services with a personality of their own. In this paper, we studied a scheme that can be instead of a simple fixed server, considering the characteristics of only the mobile device and take advantage.

• Journal of Information Technology and Architecture
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• v.9 no.3
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• pp.333-344
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• 2012

This paper proposes a system which recommends movies using information from social network services containing personal interest and taste. Method for establishing data is as follows. The system gathers movies' information from web sites and user's information from social network services such as Facebook and twitter. The data from social network services is categorized into six steps of emotion level for more accurate processing following users' emotional states. Gathered data will be established into vector space model which is ideal for analyzing and deducing the information with the system which is suggested in this paper. The existing similarity measurement method for movie recommendation is presentation of vector information about emotion level and similarity measuring method on the coordinates using Cosine measure. The deducing method suggested in this paper is two-phase arithmetic operation as follows. First, using general cosine measurement, the system establishes movies list. Second, using similarity measurement, system decides recommendable movie list by vector operation from the coordinates. After Comparative Experimental Study on the previous recommendation systems and new one, it turned out the new system from this study is more helpful than existing systems.

• Journal of Apiculture
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• v.32 no.3
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• pp.191-198
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• 2017

Vespa hornets are notorious predators of honeybees in Korean beekeeping. Detection of vespa hornet attacking on honeybee colony was tried through analysis of wing beat frequency profiling from Vespa mandarinia. Wing beat profiles of V. mandarinia during active flight and resting were distinctively different. From the wing beat profiling, algorithm of automated detection of vespa attack was encoded, and alert system was developed using Teensy 3.2 and Raspberry pi 3. From the laboratory testing, the prototype system successfully detected vespa wing beats and delivered the vespa attack information to the user wirelessly. Further development of the system could help precision alert system of the vespa attack to apiary.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.510-513
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• 2010

Color is basically composed of hue, saturation and value. Many objects are made up with color. When people see color, they feel different emotion because of different combination of hue, saturation and value of different colors. Thus, people feel different feeling about the taste of food depending on its color. Thus, by analyzing what color makes people feel tasty about food, we can make food to look more delicious. When people take pictures of food, theyusually do not consider this into account. However if we apply this technology into taking pictures of food, we can make the food look more delicious. This technology can be applied when people want to upload pictures of food in blog, homepage and twitter and so on. In this paper, we analyze the feelings of color of people and then choose the best color combination to present food. After that we change the original image into the new one based on the analysis of color. This way, we can reflect each user's preference.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.331-350
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• 2022

This study aims to understand topics of incivility related to COVID-19 from analyzing Twitter posts including COVID-19-related hate speech. To achieve the goal, a total of 63,802 tweets that were created between December 1st, 2019, and August 31st, 2021, covering three targets of hate speech including region and public facilities, groups of people, and religion were analyzed. Frequency analysis, dynamic topic modeling, and keyword co-occurrence network analysis were used to explore topics and keywords. 1) Results of frequency analysis revealed that hate against regions and public facilities showed a relatively increasing trend while hate against specific groups of people and religion showed a relatively decreasing trend. 2) Results of dynamic topic modeling analysis showed keywords of each of the three targets of hate speech. Keywords of the region and public facilities included "Daegu, Gyeongbuk local hate", "interregional hate", and "public facility hate"; groups of people included "China hate", "virus spreaders", and "outdoor activity sanctions"; and religion included "Shincheonji", "Christianity", "religious infection", "refusal of quarantine", and "places visited by confirmed cases". 3) Similarly, results of keyword co-occurrence network analysis revealed keywords of three targets: region and public facilities (Corona, Daegu, confirmed cases, Shincheonji, Gyeongbuk, region); specific groups of people (Coronavirus, Wuhan pneumonia, Wuhan, China, Chinese, People, Entry, Banned); and religion (Corona, Church, Daegu, confirmed cases, infection). This study attempted to grasp the public's anti-citizenship public opinion related to COVID-19 by identifying domestic COVID-19 hate targets and keywords using social media. In particular, it is meaningful to grasp public opinion on incivility topics and hate emotions expressed on social media using data mining techniques for hate-related to COVID-19, which has not been attempted in previous studies. In addition, the results of this study suggest practical implications in that they can be based on basic data for contributing to the establishment of systems and policies for cultural communication measures in preparation for the post-COVID-19 era.

• International Commerce and Information Review
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• v.13 no.2
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• pp.3-26
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• 2011

The objective of this study is to improve export performance using e-Trade marketing systems. The use of e-Trade has been increasing but there is some controversy about the performance of e-Trade marketing for Small-to-Medium enterprises (SME). The research construct for determining the export performance is suggested and five factors are introduced in this paper such as: B2B relationship and cooperation, product complexity, online fitness, level of internationalization, and use of e-Trade marketing. Sample data were collected from the companies who are familiar with the e-Trade systems. The result shows that the use of e-Trade marketing mostly contributes to the increase of export performance. The regression and cluster analysis shows that both variables of e-Trade marketing and on-line fitness are significant to high export performance group. The implication for SMEs is that the use of e-Trade marketing methods could contribute to the increase of export performance and more analytical works need to be made for future study.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.15-34
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• 2010

In this study we determine the level of awareness among academic librarians of ten technological tools as outlined in American Libraries. Towards this end, we conducted a survey targeting 156 academic librarians in 25 Korean university libraries. Questionnaires were designed to determine both the viability and level of acceptance of the ten technological proposals in question. Conclusions drawn after analyzing the responses to the survey were as follows: 1) Customer service can be improved by first drawing up a list of technological skills required for staff members. Methods to develop the cataloging service to more closely match individual user preferences and the use of SMS to send alerts proved to be the proposals, of the ten that were proposed, that not only bore the greatest necessity but also proved to be the most effective once they were implemented. 2) Proposals that proved to be the most difficult to implement were: Using technology to improve the cataloging service to make it more capable of evolving according to the individual preferences of users; the special event wiki for users; and improvements in customer service arising from identifying and drawing up a list of technological skills required for staff members.