• Convergence Security Journal
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• v.20 no.3
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• pp.79-88
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• 2020

Business consignment using personal information is increasing for the operating profit and work efficiency of Internet companies. If the personal information leakage accident occurs at the consignee, the consigner who provided personal information will be damaged greatly. The purpose of this study is to analyze the business attributes of consignee using consigned personal information and present a model that can be used to select companies with high risk of personal information leakage by considering the importance of the involved personal information. For this, personal information consignment relations, consignment services, and personal information items used were analyzed. Social network analysis and cluster analysis were applied to select companies with high network centrality that are advisable to obtain information security certification. The results of this study could be used to establish information protection strategies for private or public enterprises that manage companies using personal information.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.542-552
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• 2019

This study aimed to analyze characteristics of employment and factors affecting of employment of person with Brain disorder. Participants were 317 individuals with brain disorders. Data were analyzed using Chi-square test, regression analyses. according to the Panel Survey of Employment for the Disabled in Korea. These factors were classified into disability and health factors, employment related factors, and household related factors. First, The employment group showed significantly severe disorder, higher health status, absent of daily life helper, absent of assistive devices, higher level education, licenses, public employment service, job arrangement of acquaintance, find a job oneself, married, absent of basic living security assistance, greater supports of family compared to the unemployed group. Second, Factors affecting employment of individuals with brain disorders included daily life helper, education level, job arrangement of acquaintance, married, basic living security assistance. Base on these results, developing dailylife and education system and social supported system and modifying the benefit system can promote employment acquisition of individuals with brain disorder.

• The KIPS Transactions:PartC
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• v.10C no.5
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• pp.625-634
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• 2003

More than a decade after its initial proposal, deployment of IP Multicast has been limited due to the problem of traffic control in multicast routing, multicast address allocation in global internet, reliable multicast transport techniques etc. Lately, according to increase of multicast application service such as internet broadcast, real time security information service etc., overlay multicast is developed as a new internet multicast technology. In this paper, we describe an overlay multicast protocol and propose fast join mechanism that considers switching of the tree. To find a potential parent, an existing search algorithm descends the tree from the root by one level at a time, and it causes long joining latency. Also, it is try to select the nearest node as a potential parent. However, it can't select the nearest node by the degree limit of the node. As a result, the generated tree has low efficiency. To reduce long joining latency and improve the efficiency of the tree, we propose searching two levels of the tree at a time. This method forwards joining request message to own children node. So, at ordinary times, there is no overhead to keep the tree. But the joining request came, the increasing number of searching messages will reduce a long joining latency. Also searching more nodes will be helpful to construct more efficient trees. In order to evaluate the performance of our fast join mechanism, we measure the metrics such as the search latency and the number of searched node and the number of switching by the number of members and degree limit. The simulation results show that the performance of our mechanism is superior to that of the existing mechanism.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.71-89
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• 2019

In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.2
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• pp.195-205
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• 2012

This study examines runaway youths at risk in a youths' shelter who are preparing for an independent life and both the facilitating and adverse factors to personal characteristics and independence of runaway youths at risk with the aim to grasp their recognition of independence and level of desire for it and find out necessary factors for a successful independence in multidimensional perspectives including the economic independence, educational independence, psychological independence, and social independence for their sound growth. This will provide the basis for desirable interventions for youths runaway youths at risk to prepare for an independent life. The findings of this study on the factors that affect the preparation for an independent life are as follows: First, as a result of analyzing the effect of micro-systematic factors on the preparation for an independent life, it turned out that problem-solving abilities and self-efficacy had influence on the preparation for a career Second, as a result of analyzing the effect of mesoscopic-systematic variables on the preparation for an independent life, it turned out that the preparation for a career were affected by whether to participate in independence preparation programs and institutional supports, and that career maturity of runaway youths at risk were affected only by the relationship with teachers and participation in independence preparation programs. Third, as a result of analyzing the effect of macro systematic variables on the preparation for an independent life, it turned out that the preparation for a career were affected by participation of the local community and service network, and that participation of the local community was an predictor variable that would affect a career maturity of runaway youths at risk. Fourth, as a result of analyzing ecological systematic variables that might affect the preparation for a career, it turned out that intervening variables and macro systematic variables had the most powerful influence on the preparation for a career among runaway youths at risk. It is necessary, therefore, to provide education programs organized by policies in order to develop problem-solving abilities and vocational capabilities so that runaway youths at risk, and to train and appoint more professional teachers at shelters. Programs for independence preparation need to be developed actively and practically in consideration of the characteristics of shelters, and the network with the local community for support also need to be established in utilization of the human resources and service programs of the community. With the understanding of leaving home of runaway youths at risk as the previous stage of an independence, there should be a housing support for their stable settlement in the perspective of housing welfare until become adults. In addition, there should be education specialized programs for occupation and careers to train runaway youths at risk as professionals including such areas as health, mentality, learning, and voluntary work for their sound growth.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.481-488
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• 2009

The SNS(Social Network Service or Social Network Sites), the concept which came along with the Web2.0 is on-line service which focuses on building social network communities of people which used to be established off-line. Foreign SNS sites such as Facebook, MySpace and Twitter and domestic SNS sites such as Cyworld, Me2Day are getting popularity continuously and became one of the most important application in internet environments. Since these SNS sites have the purpose of providing infrastructure which enable all the people to share his/her interests with all the other people, it is necessary to appraise whether these sites provide convenient interfaces with proper accessibility to handicapped people and old people who are considered having difficulties in using internet. Web accessibility refers to the practice of providing equal access to people of all abilities and disabilities. If the web accessibility of a SNS site is so low that handicapped people and old people cannot use it properly, those gaps between user groups may become social problems. Therefore, the paper appraised web accessibility of Facebook and Cyworld using automatic tool, KADO-WAH 2.0 and Standard guideline, WCAG 2.0 and suggested the improvement opportunities based on the results of the appraisal.

• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.57-69
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• 2020

As more people share their opinions in online communities, such as Internet portals and social networking services, more opinions are manipulated for the benefit of particular individuals and groups. In particular, when manipulations occur for political purposes, they influence election results as well as government policies and the quality of life. This type of manipulation has targeted the general public, and their analysis and detection has also focused on such manipulation. However, to more efficiently spread propaganda, recent manipulations have targeted common interest groups(e.g., a group of those interested in real estate) and propagated information whose content and style are customized to those groups. This work characterizes such manipulations on common interest groups and proposes method to detect manipulations. To this end, we collected and analyzed opinions posted on 10 common interest groups before and after an election. As a result, we found that manipulations on common interest groups indeed occurred and were gradually increasing toward the election date. We also proposed a detection system that examines individual opinions, their authors, and their collaborators. Using the collected opinions, we demonstrated that the proposed system can accurately classify more than 90% of manipulated opinions and that many of these opinions were posted by multiple collaborators. We believe that regular audits of opinions using the proposed system can quickly isolate manipulations and decrease their impact. Moreover, the proposed features can be used to identify manipulations in domains other than politics.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.175-186
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• 2023

In this paper, we aim to build a gentrification analysis model and examine its characteristics, focusing on the point at which rents rose sharply alongside the recovery of commercial districts after the gradual resumption of daily life. Recently, in Korea, the influence of social distancing measures after the pandemic has led to the formation of small-scale commercial districts, known as 'hot places', rather than large-scale ones. These hot places have gained popularity by leveraging various media and social networking services to attract customers effectively. As a result, with an increase in the floating population, commercial districts have become active, leading to a rapid surge in rents. However, for small business owners, coping with the sudden rise in rent even with increased sales can lead to gentrification, where they might be forced to leave the area. Therefore, in this study, we seek to analyze the periods before and after by identifying points where rents rise sharply as commercial districts experience revitalization. Firstly, we collect text data to explore topics related to gentrification, utilizing LDA topic modeling. Based on this, we gather data at the commercial district level and build a gentrification analysis model to examine its characteristics. We hope that the analysis of gentrification through this model during a time when commercial districts are being revitalized after facing challenges due to the pandemic can contribute to policies supporting small businesses.

• Korean journal of communication and information
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• v.58
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• pp.55-73
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• 2012

This study is critical research on the forming public opinion of SNS and participation behavior. Twitter is a typical SNS service, free school food and 10.26 re-and by-elections during the formation of public opinion on the impact have been investigated. Formation of public opinion about Twitter's analysis of the first research question, The case of free meals to support the Mayor Oh, rather than against Twitter were influential. 10.26 re-and by-elections Twitter in space, the Park' candidate than Na' candidate has formed a favorable opinion. Power twitterian and twitterian on the behavior of the second study involved analysis of the problem, For free meals, power twitterian were responsible for leading the public opinion. For 10.26 re-and by-elections, Power twitterian were more Park' candidates than Na' candidates. In addition, Park' candidates of twitterians were communicating more. Through traditional media in the process of forming public opinion was swayed by public opinion to the target people simply but SNS age people involved in the production and distribution of the issue and the issue has a leading role.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.29-39
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• 2020

Online communities, such as Internet portal sites and social media, have become popular since they allow users to share opinions and to obtain information anytime, anywhere. Accordingly, an increasing number of opinions are manipulated to the advantage of particular groups or individuals, and these opinions include falsified product reviews and political propaganda. Existing detection systems are built upon the characteristics of manipulated opinions for one particular time period. However, manipulation tactics change over time to evade detection systems and to more efficiently spread information, so detection systems should also evolve according to the changes. We therefore propose a system that helps observe and trace changes in manipulation tactics. This system classifies opinions into clusters that represent different tactics, and changes in these clusters reveal evolving tactics. We evaluated the system with over a million opinions collected during three election campaigns and found various changes in (i) the times when manipulations frequently occur, (ii) the methods to manipulate recommendation counts, and (iii) the use of multiple user IDs. We suggest that the operators of online communities perform regular audits with the proposed system to identify evolutions and to adjust detection systems.