• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.447-461
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• 2012

A social network service(SNS) is gaining popularity as a new real-time information sharing mechanism. However, the user's privacy infringement is occurred frequently because the information that is shared through a social network include the private information such as user's identity or lifestyle patterns. To resolve this problem, the research about privacy preserving data sharing in social network are being proceed actively. In this paper, we proposed the efficient scheme for privacy preserving data sharing in social network. The proposed scheme provides an efficient conjunctive keyword search functionality. And, users who granted access right to storage server can store and search data in storage server. Also,, our scheme provide join/revocation functionality suited to the characteristics of a dynamic social network.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.139-148
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• 2020

Through this study, the policy proposals were intended to be presented to the head of the farming policy. Therefore, the meaning of this study is as follows. First, rather than judging the returning farmer on his own, he should provide sufficient information to consult with his family and increase access to agriculture. Second, by opening up SNS and YouTube to returning farmers, they should instill confidence in rural areas by providing them with information about the joy of rural life and the success of farming so that they can easily access information about rural life through villages, youth associations and women's associations. Efforts should be made to create vibrant rural areas by providing infrastructure around farmland, providing various amenities for settling young people and forming a family farmers' association. Third, the head of the return farming policy should come up with customized support policies for the return farming (e.g., one-year farm support, free farm support, institutional sales guarantee, tourism in advanced countries, modernization of farmland facilities). Public relations strategies should also be strengthened so that such policies can lead to agriculture. Finally, the government should provide subsidized economic activities (e.g. Airbnb, donation of expertise and work-related personnel before returning home, rural experience, etc.).

• Journal of Fashion Business
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• v.23 no.2
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• pp.124-139
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• 2019

The purpose of this study was to examine the characteristic expression of Korean traditional costumes shown in the Korean paintings by Kim Hyun-Jung. The study analyzed the paintings by Kim Hyun-Jung to find out the characteristics of the contemporary Korean paintings and the expression of Korean traditional costumes. The characteristics of Kim Hyun-Jung's works are as follows: 1) The paintings are drawn by using Korean traditional painting methods and finished with Korean traditional paper, hanji. Moreover, they show the Korean traditional costume as main subject material. 2) They use modern painting methods, such as collage, and show pop art characters by use of contemporary popular products. 3) The artist communicates with the public through SNS and YouTube, and shows characteristics of popular art through commercial art products and advertisements. The characteristics of the Korean traditional costume in Kim Hyun-Jung's works are as follows. 1) The hanbok shown in the paintings is a traditional style with tight jeogori and wide chima. Chima is drawn in thin coloring with Korean ink and jeogori is expressed with semi-transparent hanji in various patterns and colors, which shows the subject 'coy'. 2) Various kinds of Korean traditional accessories and modernized flower shoes with high heels are shown as subject materials. The art works by contemporary Korean artists are expected to be the route to give valuable information to the public about Korean traditional costumes as well as the trendy Korean culture.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.219-232
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• 2011

The purpose of this study is to give implications for cooperative network building for general corporate IT staffs as well as operational improvement of the IT organization which is a specialized unit in general company though analysis of characteristics of communication networks of the IT organization. 39 IT employees of company "A" were surveyed and interviewed, and the data collected were analyzed in a network analysis method. The analysis shows that a variety of networks were built across employees - e.g. strong/weak ties or centralized/decentralized structure - by each communication area. IT competency network was found weak ties. Career-rela ted network showed centralized and hierarchical characteristics. At the center of each network was positioned manager of each team. To address improvement of the findings, I presented the followings: more active networking over IT competency, enhancement of work centralization and collection of research data as to communication network of IT organization.

• Human Ecology Research
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• v.56 no.6
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• pp.555-571
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• 2018

This study identified the characteristics of fashion rental service users as well as analyzed their purchase decision-making processes. A qualitative investigation was conducted through in-depth interviews with 13 women in their 20s-30s who have experienced renting fashion items due to a high interest in fashion. The results of the study are summarized as follows. The need recognition stage analyzed ventilation by mass media, SNS impact, curiosity, saving shopping time and money, awareness of situational necessity, and creation of various styles. The information search stage analyzed how users obtained information from 2 different sources of nonmarketer-dominated sources and marketer-dominated sources. The pre-purchase stage analyzed the evaluation of alternatives in which study participants used 2 evaluation criteria for fashion rental services and fashion rental items. The purchase stage analyzed how participants wait and select desired items (when receiving the notification of rentable items) or select alternative products. The consumption stage examined the usage frequency and usage method. The study divided the post-consumption evaluation stage into 2 categories for evaluation: personal feelings and service. The post-consumption behavior stage analyzed how participants displayed WOM, eWOM and purchase rental product behavior. Clothing shopping orientation of study participants is displayed in 5 dimensions of brand-seeking propensity, individuality-seeking propensity, economic efficiency-seeking propensity, rationality-seeking propensity, and pleasure-seeking propensity. This study identified three main characteristics in the study participants: interest in the fashion, favorable attitude toward used fashion items, consciousness of others.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.125-134
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• 2012

As the social networking service (SNS), Facebook, and Cyworld, is developing, the social network game and social business commerce based on this service is activated. Especially, the Social Network Game (SNG) is getting explosive interests and it becomes popular, because it is small scale and user can enjoy the game among close friends. The market for this game is getting larger every year, but still it has some limitations in developing the game. Especially, the current game engine is aiming for developing online or console game, and there is no exclusive game engine for developing SNG. Therefore, it takes lots of time for developing SNG with this game engine. In this paper, we described a design and development of the game engine optimized for developing SNG, which not only adapts the main characteristics of the previous game engine, but also considers the specific characteristics of the SNG. The engine also supports map for the simulation game that is the most popular game in SNG, and also provides modules and tools for developing character animation easily. The evaluation standard for the performance of the game engine is the output generation speed of image, text and character. And the results showed reasonable output speed for developing the SNG in generation of image, text, and character.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.35-45
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• 2018

Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.682-690
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• 2020

Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.

• Journal of Information Technology Applications and Management
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• v.16 no.2
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• pp.45-63
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• 2009

China has the largest number of the user of web 2.0 such as messengers and blogs, as of 2008 year. Chinese Internet digital market will grow from $85 billion in 2007 to $264 billion in 2015. The importance of Chinese Internet business is increasing, because of its size and growth potential. This research is focused on following two questions. First, what are the major characteristics of social networking services in China? In order to find out the answer about this question, the case study on Tencent QQ and Sina Poco, the most representative social networking services company in China, was done. And the reason of the use of social networking services, their contents, and the attitude toward the paid service were identified. Second, what are the major factors influencing the use of social networking services in China. User participation, network effect, usefulness, and system quality were inferred as the factors influencing the use. These factors were based on motivation theory, technology acceptance model, and the related research papers. This research model was proved by data analysis using Partial Least Square. As results, the use of social networking services was influenced by usefulness, network effect, user participation, and system quality. But social influence was not significant of the use of social networking services.

• The Korean Journal of Food And Nutrition
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• v.31 no.1
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• pp.173-184
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• 2018

This research was conducted to examine coffee shop customers' preference and satisfaction by different types of promotion. Research samples ware adults with experience of any form of coffee shop promotion (n=209). Descriptive statistics, Chi-square, t-test and one-way ANOVA were used to analyze the relations among variables. Results showed that 'free coupon' was the most preferred ones. SNS was the most frequently used search method for coffee shop coupon promotion information. The most preferred event promotion was 'freebies', and preference levels were significantly different by age and employment status. 'Barista experience' was ranked highest in preference among cultural experience events. Drinking coffee was the most important purpose of visiting coffee shops, especially among unemployed, twenties, and women respondents. Coupon was evaluated the highest in usefulness and satisfaction among the three promotion methods. Event and cultural experience were preferred more by respondents in their twenties than those in their thirties. Results indicated that all promotion strategies are effective for increasing customer satisfaction and for inducing revisit. Findings also showed that preference for promotion was affected by customer characteristics such as age and gender. Therefore, coffee shops should consider using the most effective and attractive promotion strategy for their target market, while maintaining a consistent service quality level to fulfill customer expectation.