• Korean journal of communication and information
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• v.43
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• pp.359-384
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• 2008

Nowadays, newspaper industry faces a crisis in terms of two aspects: First, in this multi-channel era, it has competed with the online journalism appearing in many digital media. Second, with the decrease of numbers of readers and political participation, the roles of newspaper has to be changed accordingly. The concept of civic journalism emerged as a solution in this context. The purpose of the study is to explore the factors in how journalists perceive the civic journalism. The Q-methodology was adapted to identify the factors composing of the belief, values, attitudes, ideas, and opinions toward the civic journalism. Total of 24 Q-sample (statements) were sorted by 27 P-sample (journalists) who were selected by their gender, years of service, and the like. The Quanl program finally produced 3 factors that were interpreted and named as follows: Factor I, the Complimentary Journalism, the civic journalism would fulfill the functions that traditional journalism has neglected. Factor II, the Alternative Journalism inducing the citizen's participation in the public areas. Factor III, the Functional Journalism, emphasizing dysfunction of the civic journalism.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.65-82
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• 2020

Start-ups often use crowdfunding platforms such as Wadiz to get financing from corporate investors and general public. These platforms include functions to increase participant activity through the number of comments, interest and online word-of-mouth. This study aims to elucidate how these functions related to a participant activity exhibit mediating effects on a success of crowdfunding and an achievement rate of targeted investment amount. To this end, the individual variables such as progress period, target amount, venture company, experience of attracting investment, possession of intellectual property rights, a career of the representative and an award experience of the representative were classified into the project characteristics, the company characteristics and the representative characteristics through not only previous studies but also interviews with investment professionals and platform operators. Afterwards, this study went through an empirical verification process using a structural equation model that has both crowdfunding performance and participant activity, which is the independent and mediating factors of three perspectives, as well as the dependent variables. In other words, this study analyzes how the characteristics of three perspectives affect the participant activity and how the participant activity had the mediating effects on the crowdfunding performance. In addition, it derives how the analysis results mentioned above vary according to business types (internet services, culture/art, manufacturing/distribution) and investment styles (stock type and bond type). It is expected that this study will help not only in deriving the factors affecting the performance of an investment type crowdfunding but also in preparing the measures to increase a participant activity.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.395-404
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• 2015

This study is exploring objective awareness of literary therapy by consideration of popular perception about literary therapy through analysis of big data. The purpose of this study is the deduction of meaning information through analysis in the viewpoint of big data at online social network service(SNS) about 'literary therapy'. Accordingly, the main way of research became content analysis of keyword linked to literary therapy by utilizing opinion mining method related to text mining. The study mainly grasped 'literary therapy' and analyzed 'bibliotherapy' comparatively. The period of study was from Oct. 10th to Nov. 10th, 2014(during 30 days), and SNS such as blog or twitter became the subject of search. Through the result of study analysis, the conclusion that the spread of literary therapeutic prospect, structural harmony of literary therapeutic field, and the solidity of perceptional axis about literary therapy are needed can be drawn. This study is worthwhile because it can investigate popular awareness about literary therapy and can suggest alternative for invigoration of literary therapy.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.147-153
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• 2017

The main subject of year 2016 Davos forum was "The 4th Industrial Revolution." Recently, interests and investment in drone market, so called industrial revolution in the sky is growing in many countries around the world. Before, drone was used for military purpose such as reconnaissance or attacking but today, it is used in various private sectors such as unmanned delivery service, agriculture, leisure activities, etc. Presently, many major countries in the world are already involved in the 'war without gunfire' to be dominant in this drone industry. Korean government also has announced an extreme relaxation of regulations for growing drone industry by opening a conference with Ministers related to economics. During the conference, business scope of drone which was limited to agriculture, photographing, and observation was expanded to all the fields except for cases hindering national safety and security. In terms of shooting purpose drone its process of receiving approval for flight and shooting is simplified to online registration. What is more, drone delivery service will be allowed in island areas such as Goheung, Yeongwol, etc from first term of year 2017. Finding the way to apply drone in criminal investigation is also speeding up. Recently, Public Safety Policy Research Center in Korean National Police University has inquired for research service and its result will be out around November. Likewise, although more and stronger foundation for supporting drone industry is made but there are still, some opinions saying that we should take a careful approach in consideration to the side effect such as abuse in crime. One may also try terror by placing a dangerous substance. If drone falls, it may hurt any civilians. Moreover, if shopping purpose drone is hacked, it may result in violation of privacy. Compared to America, Europe, and China, we are at the very beginning stage of drone industry and it is necessary to reorganize legal issues to grow this industry. This can be thought from two perspectives; first, the growth of drone industry is blocked by difficult regulations on Aviation Law and Radio Regulation Law. The second issue is the safety and privacy that are required for operating drone. For the advanced technologies to make human life more profitable, more active and proactive actions are required by criminal law side. In preparation to the second mechanical era where man and machines should go together, I hope that responsible preparation is required in all fields including the criminal law.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.2
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• pp.167-188
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• 1996

The lack of an understanding of the characteristics and searching abilities of a specific user group in computer-based information systems in libraries hinders library and information science professionals in making the best decisions when designing, acquiring, and managing information systems. The objective of this study was to provide information on the characteristics and searching abilities of specific groups such as Korean college students & ones who study abroad, male & female, undergraduate & graduate students, etc. This study also has focused on the methods of loaming to use OPACs and non-user study. Questionnaire was administered to both Korean college students in the city of Taegu, Korea and students who study abroad in the state of Texas, US.A. 345 usable questionnaires were obtained and analyzed. These were analyzed using descriptive, inferential statistics, multiple correlation, and SPSS software. The. major findings of this study are: (1) There was a significant difference among specific student user groups except undergraduate and artiste-athlete students in the distribution of their knowledge about how to use OPACs: (2) There was a significant difference among specific groups in the means of their knowledge: (3) There was no significant difference among un. groups in the distribution of loaming method to use OPAC systems : (4) The correlation between the number of searching methods that the respondents knew in using OPACS and the amount of using computers (0.6635) is comparatively higher than my other correlation to the searching methods. Also, years of experience using computers, frequencies of computer use, and frequencies of OPAC use are comparatively higher than frequencies of library use and frequencies of manual card catalog un: (5) Frequencies of manual card catalog use have low negative correlations with the number of searching methods that the respondents knew in using OPACs: (6) Frequencies of manual card catalog use have little if any negative negative with OPAC and computer use. Conclusions are drawn from the findings in this paper, and recommendations an proposed when designing, adopting, or managing a new system. Topics fur future studies on the characteristics of OPAC systems and their use are also suggested.

• Korean Security Journal
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• no.46
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• pp.7-30
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• 2016

This study found the strategies for activating the security industry to utilize social network services based on the platform business model. This research was utilized for in-depth interview and IPA analysis. And use it was to check the contents and strategic improvement projects that can actually materialize and direction of the strategy. First, run a priority need area is a private center of community policing related portal development and operation, universal social networking service(SNS) utilizing expanded, professional training, IT-based security content management and operation of IT infrastructure security guards and security professionals up educational content development, online security guards and security professionals-up refresher training program development. Second, the area over the inventory capabilities increase the effectiveness of the security guards was constructed open-type comprehensive public information system. Third, the area needed to be reviewed are the individual security industry experts workers operating information channels, dedicated customer service and expanding the event of a private security guard & security service providers up. Fourth, the effectiveness of the insufficient area are discuss system improvements, the sharing of community policing closed Cameras for proposals for the expanded utilization of social networking services, private development organizations Social Network Service(SNS).

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.1
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• pp.419-424
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• 2016

Background: The aim of this systematic review was to study the relationship between exposure to nitrogen dioxide ($NO_2$) in the ambient air and breast cancer incidence. Materials and Methods: A systematic review was performed based on the MOOSE guideline for review of observational studies. We searched five online databases (PubMed, Science Direct, Google Scholar, EBSCO, and Scopus) from their conception to June 2014. A pooled estimate of the correlation between $NO_2$ exposure and breast cancer incidence was calculated using Pearson's correlation coefficient. Results: A total of 654 titles were retrieved in the initial search of the databases. Further refinement and screening of the retrieved studies produced a total of five studies from four countries. The studies included three ecological studies (aggregate level) and two individual based studies (one prospective cohort and the other one a case-control study). The ecological studies were pooled and the meta-analysis of correlation coefficient without z transformation showed a pooled estimate of r = 0.89 with 95% CI of 0.84 to 0.95. Using z transformation, the pooled r was 1.38 with 95%CI of 1.11 to 1.59. No significant heterogeneity between studies was observed. Following a sensitivity analysis and the removal of each study from pooled analysis we did not see any significant change in the pooled estimate. Conclusions: It was concluded that there is a tendency toward a weak association between exposure to $NO_2$ in ambient air and breast cancer at the individual level and a significant association at the aggregate level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.446-457
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• 2016

This study analyzed the Korean nurses association news described nurses' work-family balance for fifteen years by drawing on the qualitative thematic approach. From September 14, 2012 to February 10, 2015, data were collected by searching news articles associated with nurses' work and family balance published from 2000 to 2014 in the Korean nurses' association news online. A total of 73 news articles were used for data analysis. Two themes and ten sub-themes were derived; under the first theme of the government policy on work-family balance, the 'policies of maternity leave', 'parenting support', 'working condition improvement', and 'family-friendly culture' were identified as the sub-themes. For the second theme of Korean nurses association activities on work-family balance, the 'activities for various working shifts', 'constructing 24 hours childcare facilities', 'supporting unemployed nursing workforce development', 'healthy birth and parenting environment', 'family-friendly work environment', and 'securing nurses for nursing shortage' were identified as sub-themes. The Korean nurses association news in terms of work-family balance providing a voice for nurses regarding the benefit of maternity leave, increasing awareness of gender equality from a gender perspective, and leading the public attention to it in depth.

• The KIPS Transactions:PartC
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• v.17C no.1
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• pp.27-36
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• 2010

In Web registration pages and online polling applications, CAPTCHA(Completely Automated Public Turing Test To Tell Computers and Human Apart) is used for distinguishing human users from automated programs. Text-based CAPTCHAs have been widely used in many popular Web sites in which distorted text is used. However, because the advanced optical character recognition techniques can recognize the distorted texts, the reliability becomes low. Image-based CAPTCHAs have been proposed to improve the reliability of the text-based CAPTCHAs. However, these systems also are known as having some drawbacks. First, some image-based CAPTCHA systems with small number of image files in their image dictionary is not so reliable since attacker can recognize images by repeated executions of machine learning programs. Second, users may feel uncomfortable since they have to try CAPTCHA tests repeatedly when they fail to input a correct keyword. Third, some image-base CAPTCHAs require high communication cost since they should send several image files for one CAPTCHA. To solve these problems of image-based CAPTCHA, this paper proposes a new CAPTCHA based on both image and text. In this system, an image and keywords are integrated into one CAPTCHA image to give user a hint for the answer keyword. The proposed CAPTCHA can help users to input easily the answer keyword with the hint in the fused image. Also, the proposed system can reduce the communication costs since it uses only a fused image file for one CAPTCHA. To improve the reliability of the image-text fusion CAPTCHA, we also propose a dynamic building method of large image dictionary from gathering huge amount of images from theinternet with filtering phase for preserving the correctness of CAPTCHA images. In this paper, we proved that the proposed image-text fusion CAPTCHA provides users more convenience and high reliability than the image-based CAPTCHA through experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.345-351
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• 2020

Administrative agencies today are paying keen attention to big data analysis to improve their policy responsiveness. Of all the big data, news articles can be used to understand public opinion regarding policy and policy issues. The amount of news output has increased rapidly because of the emergence of new online media outlets, which calls for the use of automated bots or automatic document classification tools. There are, however, limits to the automatic collection of news articles related to specific agencies or departments based on the existing news article categories and keyword search queries. Thus, this paper proposes a method to process articles using classification glossaries that take into account each agency's different work features. To this end, classification glossaries were developed by extracting the work features of different departments using Word2Vec and topic modeling techniques from news articles related to different agencies. As a result, the automatic classification of newspaper articles for each department yielded approximately 71% accuracy. This study is meaningful in making academic and practical contributions because it presents a method of extracting the work features for each department, and it is an unsupervised learning-based automatic classification method for automatically classifying news articles relevant to each agency.