• Journal of Technology Innovation
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• v.23 no.3
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• pp.201-223
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• 2015

Existing research on international standardization has largely taken a qualitative approach focusing on comparative studies of national institutions and policies on standards or international rivalries from the perspectives of international relations or innovation studies. While there exists a handful of quantitative studies, they are mostly confined to simple numeric counts of essential patents, new work item proposals, or secretaries staffing international standards development organizations (SDOs). This study aims to contribute to our understanding of the dynamics of international standardization by the analysis of the data coding systematically national activities in the standardization process of the International Organization for Standardization (ISO), by far the largest international SDO. Our analysis of the four critical types of standardization documents generated in the Working Group 7 of the ISO/IEC Joint Technical Committee 1 reveals interesting dynamics among key players of global ICT standards regime. First, while the US takes a dominant share of the personnel as well as new work item proposals for standardization, its quality of activities rather falls behind as it mostly focuses on keeping in check other countries' standardization activities. Second, European countries tend to spread their effort evenly across different types of standardization activities. Finally, despite such differences between the US and European countries, both rely heavily on multinational companies to gain an advantage in the voting stage of standardization process.

• The Journal of Society for e-Business Studies
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• v.22 no.1
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• pp.51-64
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• 2017

After Bitcoin was proposed by Satoshi Nakamoto in 2009, studies have been carried out to apply the Block Chain technology in various environment, which was applied as a distributed transaction of Bitcoin. Smart contracts, voting and proof of ownership of digital contents are typical applications of Block Chain. They used the feature that it is impossible to modify or delete once recorded facts. They also applied to prove relevant facts and to provide data integrity. The applied cases are mainly made in an environment where the data should or could be open to the public, and they have been proposed as solutions to solve the problems occurred in relations. This fact has led to the attention that Block Chain can be applied as a good alternative in similar circumstances. In this study, real estate market service was selected to expand the application range of Block Chain. Although there are about 250 applications and web services in total, the satisfaction is not high due to false offerings. Thus we propose a countermeasure against the problem by applying the Block Chain to the real estate market service, and investigate the research direction of the Block Chain in the future market.

• The Journal of Bigdata
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• v.4 no.2
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• pp.23-34
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• 2019

Recently, the crime that utilizes the digital platform is continuously increasing. About 140,000 cases occurred in 2015 and about 150,000 cases occurred in 2016. Therefore, it is considered that there is a limit handling those online crimes by old-fashioned investigation techniques. Investigators' manual online search and cognitive investigation methods those are broadly used today are not enough to proactively cope with rapid changing civil crimes. In addition, the characteristics of the content that is posted to unspecified users of social media makes investigations more difficult. This study suggests the site-based collection and the Open API among the content web collection methods considering the characteristics of the online media where the infringement crimes occur. Since illegal content is published and deleted quickly, and new words and alterations are generated quickly and variously, it is difficult to recognize them quickly by dictionary-based morphological analysis registered manually. In order to solve this problem, we propose a tokenizing method in the existing dictionary-based morphological analysis through WPM (Word Piece Model), which is a data preprocessing method for quick recognizing and responding to illegal contents posting online infringement crimes. In the analysis of data, the optimal precision is verified through the Vote-based ensemble method by utilizing a classification learning model based on supervised learning for the investigation of illegal contents. This study utilizes a sorting algorithm model centering on illegal multilevel business cases to proactively recognize crimes invading the public economy, and presents an empirical study to effectively deal with social data collection and content investigation.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.145-156
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• 2011

The study is to analyze voting behaviors revealed through the June 2 local elections, and to learn their implications by exploring and comparing the main factors that influence how to recognize and select a candidate. To achieve this, in-depth interviews have been conducted focusing on those who voted in the last election. The analysis shows that most respondents regard their political tendencies as moderate and make decisions on whom to vote for 2 to 3 days prior to election. It also indicates that what party candidates belong to is the highest motivation in deciding for whom to vote and they generally vote as they believe. According to the study, not only do the poll's results hardly affect their choice of candidates, but also the polls turn out significantly different from the actual results. The great gap between the polls and the actual outcome signifies that how to conduct a poll is wrong and people intend to conceal their opinions. While the media has had a decisive effect on the image of candidates, it is through promotional materials for political campaigns that the candidates' policy is recognized. The study also says that the Four-River is the most influential political issue in election. The study identifies voters' behavior specifically and in depth, and suggests some lessons to make use of for the future elections.

• Asian Journal for Public Opinion Research
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• v.1 no.4
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• pp.307-344
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• 2014

Political parties would normally claim that their campaign and communication materials have effects on voters, be it on their supporters or their opponents during election campaigns. However, such effects are assumed effects by the parties unless voters are themselves assessed about the effects of such materials on themselves. The supporters of the parties are likely to regard such campaign materials as congenial to them but this may not be so with the opposition supporters who would regard such materials as negative. Taking the third-person effect to analyze effects on the audience as the theoretical framework, this study posited that opposition members would regard the materials as negative and thus would claim that they would not have any effect on them but they would likely say that such campaign materials would have effects on own party supporters. Davison (1983) posited that individuals will perceive that negative mediated messages would have their greatest impact not "on me" or "you" but on "them,"- the third person. Research suggests that people judge others to be more influenced than they are by media, advertising, libelous messages, media violence, pornography, and television drama. The theory referred to as the Third-person effect developed on the postulation that audience members would not admit that media had any direct effect on them, but would instead believe that the media influenced others, the third person (Tewksbury, Moy, & Weis, 2004; Price, Tewksbury, & Huang, 1998). On the other hand, while people would discount the effects of negative or biased messages on themselves, they would, under the notion of the First Person Effect, readily admit to being influenced by such messages. This study was based on studying the effects of political literature on party and opposition party supporters taking the messages to be positive to one group and biased and partisan to another group. The study focuses on the assumed effects of political literature on own party and opposition party supporters. It traces the degree of influence of Malaysia's largest political party, Barisan Nasional (BN) political communication literature on its own supporters and on non-BN party supporters. While the third-person effect assumes a null or minimal effect on one's self and some or strong effect on others, the question that arises are on welcoming favorable media effects on oneself and assuming unfavorable effects on others.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.3
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• pp.201-212
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• 2014

This study is to clarify the contents and marketing strategy of Kikurakuen held throughout 3 years at Taisho Park in modern Busan. Kikurakuen consists of three programs. One is Chrysanthemum Dolls that are dolls with scenery to represent a scene of Japanese Kabuki drama or Japanese historic scenes using Chrysanthemum flowers. To make Chrysanthemum Dolls, the Busan daily news invited Japanese Chrysanthemum Doll virtuoso. And Chrysanthemum flower bed which consists of Large-flowered chrysanthemum, sag chrysanthemum and Bonsai, which were producted from Busan and suburban and chrysanthemum of individual exhibitions. And the third is Kabuki Drama by Japanese Geisha and Kukeuk by Korean Geisha who trained throughout one month by profesional Kabuki actors from Japan and profesional actors from Dongrae. Marketing strategy of Kikurakuen is to report in a newspaper articles every days while helded Kikurakuen, finest geisha selection contest by voting of visitors and gifts from the Busan daily news and stores. It ended Kikurakuen only three times. This study is life history of modern park which may provide to understand the role and function of the urban park.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.634-642
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• 2020

With the proliferation of Internet of Things (IoT) devices, using the Linux operating system in various architectures has increased. Also, security threats against Linux-based IoT devices are increasing, and malware variants based on existing malware are constantly appearing. In this paper, we propose a system where the binary data of a visualized Executable and Linkable Format (ELF) file is applied to Local Binary Pattern (LBP) image processing techniques and a median filter to classify malware in a Convolutional Neural Network (CNN). As a result, the original image showed the highest accuracy and F1-score at 98.77%, and reproducibility also showed the highest score at 98.55%. For the median filter, the highest precision was 99.19%, and the lowest false positive rate was 0.008%. Using the LBP technique confirmed that the overall result was lower than putting the original ELF file through the median filter. When the results of putting the original file through image processing techniques were classified by majority, it was confirmed that the accuracy, precision, F1-score, and false positive rate were better than putting the original file through the median filter. In the future, the proposed system will be used to classify malware families or add other image processing techniques to improve the accuracy of majority vote classification. Or maybe we mean "the use of Linux O/S distributions for various architectures has increased" instead? If not, please rephrase as intended.

• The Journal of Industrial Distribution & Business
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• v.9 no.6
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• pp.77-85
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• 2018

Purpose - The purpose of this study is to subdivide trade transaction-centered structure in a logistics/distribution industry system to apply blockchain, to establish and resolve with which types of technology, and to provide policy direction of government institution and technology to apply blockchain in this kind of industry. Research design, data, and methodology - This study was conducted with previous researches centered on cases applied in various industry sectors on the basis of blockchain technology. Results - General fields of blockchain application include digital contents distribution, IoT platform, e-Commerce, real-estate transaction, decentralized app. development(storage), certification service, smart contract, P2P network infrastructure, publication/storage of public documents, smart voting, money exchange, payment/settlement, banking security platform, actual asset storage, stock transaction and crowd funding. Blockchain is being applied in various fields home and abroad and its application cases can be explained in the banking industry, public sector, e-Commerce, medical industry, distribution and supply chain management, copyright protection. As examined in the blockchain application cases, it is expected to establish blockchain that can secure safety through distributed ledger in trade transaction because blockchain is established and applied in various sectors of industries home and abroad. Parties concerned of trade transaction can secure visibility even in interrupted specific section when they provide it as a base for distributed ledger application in trade and establish trade transaction model by applying blockchain. In case of interrupted specific section by using distributed ledger, blockchain model of trade transaction needs to be formed to make it possible for parties concerned involved in trade transaction to secure visibility and real-time tracking. Additionally, management should be possible from the time of contract until payment, freight transfer to buyers through land, air and maritime transportation. Conclusions - In order to boost blockchain-based logistics/distribution industry, the government, institutionally, needs to back up adding legal plan of shipping, logistics and distribution, reviewing standardization of electronic switching system and coming up with blockchain-based industrial road maps. In addition, the government, technologically, has to support R&D for integration with other high technology, standardization of distribution industry's blockchain technology and manpower training to expand technology development.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.13-23
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• 2015

A study on the 'FUN' of TV reality audition programs. "Why are the audience so enthusiastic about the survival audition programs?" "What fun do the audition program audience have?" In order to find the answers for such questions, this study applied 'the 4-step fun evolving model' and thereby, categorized audience's fun-seeking behavioral modes, and therewith, examined how such fun-seeking behavioral modes would change by step over time. As a result, it was found that the audition program audience had faithfully followed the 4 fun types (watching, having, doing and becoming), and that their fun-seeking behavioral modes had changed by step over time in SBS "K-POP START" (Season 3) in 2013. Such findings suggest that the audition program fans accommodated 'the fun evolving model.' Their step of 'watching' evolved gradually into the step of 'having' both on-line and off-line (support of participants/malicious or good-will replies, participation in blogs/twitters, photo materials collection activities) and that of 'doing' (application for the jury group, organization of fan club, crazy fan activities, participation in phone voting, etc.), while increasing their fun.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.426-435
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• 2017

Since online betting occurs on online where anybody can access through internet, thus, the online gambling market has been expanding. Domestic illegal gambling market size is 4 times bigger than that of legal gambling market, and illegal online betting market is rapidly growing as well. Currently online gambling does exist domestically in form of Sports promotion voting rights, also known as, Toto and Proto and internet lottery. However, the need for other types of online gambling to be permitted, expanded and managed has been suggested. This research has analyzed online gambling users, online gambling addicts and general population's awareness on expansion and operation of online gambling, contraction measures of illegal online gambling and operation measures in case of permitted expansion of online gambling. The result of this research's analysis showed that each group has significantly different awareness level on positive and negative effects of permitting online gambling's expansion. Also, it showed that each group has significantly different awareness on permitting expansion of racing betting as a legal gambling item. Since it is the proven fact that illegal online gambling users could turn into legal users and that users could use the service more positively if online gambling is legalized through allowance and expansion process; one could expect the positive effects from permitting expansion of online gambling.