• Korean journal of communication and information
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• v.76
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• pp.92-123
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• 2016

This paper aims to examine systematically how audiences' exposure to crime news influences their multicultural acceptability. In particular, the analysis has focused on how the variance in the effects of contacts with crime news on foreigners takes place, according to the types of media and communication favored among the audiences. Also, with perceived risk toward crime as a mediating variable, this research scrutinizes the way crime news on foreigners comes to influence multicultural acceptability among the audiences. While various news sources and communication channels are influential in strengthening the perceived possibility of crime on the individual level, the results show, television seems to be particularly more effective with regards to the perceived prevalence of crime on the social level (RQ 1). Also, while contacts with crime news through 'dialogic' media rarely influence multicultural acceptability significantly, 'discursive' media and face-to-face contacts have negative impacts on the multicultural acceptability (RQ 2). Consequently, perceived risk on the social level seems to play the role of full mediation in the process where audiences' contact with crime news through discursive media influences their multicultural acceptability (RQ 3). Based on these findings, both theoretical and practical implications were discussed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.471-492
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• 2017

The demand and interest in big data analytics are increasing rapidly. The concepts around big data include not only existing structured data, but also various kinds of unstructured data such as text, images, videos, and logs. Among the various types of unstructured data, text data have gained particular attention because it is the most representative method to describe and deliver information. Text analysis is generally performed in the following order: document collection, parsing and filtering, structuring, frequency analysis, and similarity analysis. The results of the analysis can be displayed through word cloud, word network, topic modeling, document classification, and semantic analysis. Notably, there is an increasing demand to identify trending topics from the rapidly increasing text data generated through various social media. Thus, research on and applications of topic modeling have been actively carried out in various fields since topic modeling is able to extract the core topics from a huge amount of unstructured text documents and provide the document groups for each different topic. In this paper, we review the major techniques and research trends of text analysis. Further, we also introduce some cases of applications that solve the problems in various fields by using topic modeling.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.681-689
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• 2019

Web usage pattern discovery is an advanced means by using web log data, and it's also a specific application of data mining technology in Web log data mining. In education Data Mining (DM) is the application of Data Mining techniques to educational data (such as Web logs of University, e-learning, adaptive hypermedia and intelligent tutoring systems, etc.), and so, its objective is to analyze these types of data in order to resolve educational research issues. In this paper, the Web log data of a university are used as the research object of data mining. With using the database OLAP technology the Web log data are preprocessed into the data format that can be used for data mining, and the processing results are stored into the MSSQL. At the same time the basic data statistics and analysis are completed based on the processed Web log records. In addition, we introduced the Apriori Algorithm of Web usage pattern mining and its implementation process, developed the Apriori Algorithm program in Python development environment, then gave the performance of the Apriori Algorithm and realized the mining of Web user access pattern. The results have important theoretical significance for the application of the patterns in the development of teaching systems. The next research is to explore the improvement of the Apriori Algorithm in the distributed computing environment.

• 대한공업교육학회지
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• v.36 no.1
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• pp.95-114
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• 2011

The purpose of this study was to review and synthesize the papers in cooperation between industries and specialized high schools. We also try to provide explicit directions and suggestions for future researches. A total of 196 studies, including master's and doctoral theses up to 2010, were collected through RISS(Research Information Sharing Service), KISS(Koreanstudies Information Service System), and DBPIA(special database for domestic research information). The results were as follows. The number of papers has been increasing steadily. In the area of research, the field research was the most popular area. The most common type of the research was survey research and library research was followed. Similarly, questionnaire was the most popular method. Technical high schools were the most popular object of studies in specialized high schools. GyeongGi province was the most popular region of studies and Seoul was followed. The most common type of cooperation between industries and specialized high schools were actual training. The students in specialized high school was the most popular object of surveys, and teachers and industry people were followed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1856-1862
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• 2010

Last rapidly changing mobile handset market in many industries, as well as market conditions affect the prevalence of various content types of consumer spending in general is affecting. Changes in mobile handset market by separating the various consumer-tier analysis, or differentiated in consumers' purchasing behavior are being reflected in the property analysis and overview of customer satisfaction can be assessed by measuring. These mobile devices and the purchase of the devices to investigate the tendency to analyze and weigh the various content industries, you can see how important one can be considered. The development of mobile communication systems and wireless internet and multimedia applications can lead the industry accelerated. In this study, tried to investigate that the mobile communication systems in consideration of the special form of mobile handsets, and customer satisfaction of mobile phone handsets, and the relationship between customer loyalty. Outcome of this study, the mobile properties and the mobile handset brand, price, design and related details to be statistically significant variables were analyzed. In this study, the characteristics of future mobile handset market with a wide range of content-based guidelines for the development of the industry is expected to be able to provide.

• Journal of Broadcast Engineering
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• v.12 no.3
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• pp.230-241
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• 2007

This paper presents the requirements analysis for the Terrestrial DMB Automatic Emergency Alert Service (AEAS) Standard. First, the basic concepts in disaster management and the AEAS system structure are presented as a background. Next, other emergency alert systems and the related standards are analyzed. We propose taxonomy to categorize the emergency alert systems and analyze the characteristics of each system. Next, we analyze advantages of T-DMB for the delivery medium of emergency alert message and problems to resolve for the enhanced performance. Finally, we propose service requirements which will achieve general/special-purpose, non-interrupting, location-adaptive, automatic, message delivery service. The paper will contribute as a guideline to the development for emergency alert service standards for other broadcasting media.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.111-128
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• 2016

The purpose of this study was to analyze domestic research trends of social learning in higher education, and find out educational implications with regard to the effectiveness of social learning. The 63 articles on social learning were finally analyzed, which were published in KCI journals. The results are as follows: Firstly, in respect of research contents, the research area of utilization and the survey methods were most frequently used in those studies. Secondly, as to the use of SNS, the analyzed studies were centralized on Facebook and Formal Structured Learning. Thirdly, as for the effectiveness of SNS, the experimental studies showed that social learning has an effective impact on the learning outcomes, learning processes, and learners' characteristics. In addition, survey studies most frequently set the independent variables as learners' characteristics and the dependent variables as participation, satisfaction, and academic achievement. This research has a significance in terms of verifying the educational implications of social learning, and providing the preliminary data to facilitate the performance for the effective social learning.

• Korean journal of communication and information
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• v.47
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• pp.5-22
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• 2009

This study analysed the complicated introduction process of IPTV in Korea, based on the rent seeking theory which is one of an useful economic theory for explaining the dynamic interaction between government and entrepreneurs. Rent seeking theory describes the possibility of lobbying for economic regulations or regulatory capture which refers to collusion between firms and the government agencies assigned to regulate them. The introduction of IPTV(Internet Protocol TV) in Korea was the most controversial policy issue since the beginning of new media business of cable TV in 1995. In addition to the ordinary conflict between the old and new entrepreneurs, IPTV caused the bureaucratic conflicts between the Ministry of Information and Communication and the Korean Broadcasting Commission (Two regulation agencies were merged into KCC(Korean Communications Commission) in 2008). Through the process all related policy players, including the government, pursued their own rent, and it caused vicious circle of continuous rent seeking and mutual distrust among players. Finally, all-directional lobby of pre-IPTV companies brought about the successful entrance to IPTV market and the enactment of IPTV special law which includes deregulation compared to the existing Broadcast Act. Considering the convergence trend of media related laws it means going against the times. Until now, the conflict phenomena occurring in broadcast industry were mostly explained based on the sociological conflict theory. However, the result of this study shows the usefulness and necessity of rent seeking theory because it gives an economic explanation of conflict behavior.

• The Transactions of the Korea Information Processing Society
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• v.4 no.2
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• pp.531-542
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• 1997

In this paper,we propose applicable methodology using simple scenarios for the architecture and its procedure of sibnalling at the NNI for B-ISDN in Korea.By the recent technologies,the flexible and intergrated networks of the future are designed, and the infrastructure hardware and software of those networks are sdsigned based on the modular concepts.Also the ATM-based B-ISDN must be able to support the broadband transmission function for providing various services with diverse bandwidths such as multimedia serivce and the function for controlling services and bandwidth is necessaty.Currently,the trquirements at the NNI for B-ISDN in korea atr based on the network mode connection type which is connection setup strucuture.They must show the upper/lower layer conformance to have the flexibility in new services and guarantee the interoperability between the network functions.But,network functions and protocol specifications described in this paper are limity to the first stage target system in korea.Therefore,we present the modular architecture which is corresponding to the B-ISUP of HAN/B-ISDN with those characteristics.Currently applicable architecture and procedure for B-ISUP and the functions of expandable modular architecture are also proposed.

• Informatization Policy
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• v.20 no.3
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• pp.3-17
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• 2013

As electronic marketplaces grow and a large number of consumers exchange their opinions on products and services on the Internet, many studies have been conducted in the area of online consumer reviews. This paper analyzes the research trend of the online consumer reviews by investigating those studies in an attempt to provide future research directions. Many researchers have focused on the effects of online reviews on consumer behaviors as well as the usefulness of the online reviews. In particular, review contents, characteristics of reviewers/consumers and features of products/services have been identified as influencing factors on the effects of the online consumer reviews. For the review contents, the number and the volume of the contents have increasing effects on the online reviews, while the direction (positive vs. negative) of the contents has resulted in conflicting effects of the review. The reputation and trustfulness of reviewers, consumers' prior knowledge on the products, consumers' product involvement, and types of the products were investigated as these factors influence the effectiveness of the online consumer reviews. Social media (such as Facebook and Twitter) nowadays play an important role to disseminate online reviews among consumers. Thus, it is necessary to study how social media influence the effects of online reviews on consumers. Since some firms abuse the online reviews for their own sakes, we recognize the necessity for empirical studies on the side effects of the online reviews.