• Asian Journal for Public Opinion Research
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• v.5 no.4
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• pp.266-284
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• 2018

This paper adopts the big data research method, and draws 491 data from the Tianya Forum about the Simultaneous Renting and Purchasing policy of Guangzhou. The qualitative analysis software Nvivo11 is used to cluster the main questions about the Simultaneous Renting and Purchasing policy in the forum. The 36 high-frequency word frequencies are obtained through text clustering. Through rooted theory analysis, the main driving factors for summarizing people's doubts are 9 main categories, 3 core categories, and the model of driving factors for online forums is established. The study finds that resource factors are the most key factor, economic factors are the important drivers, and policy guiding factors are sub-important drivers.

• Nuclear industry
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• no.1_2 s.5
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• pp.14-20
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• 1982

• Journal of Korea Technology Innovation Society
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• v.2 no.1
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• pp.44-57
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• 1999

KIPS is a net-world, cyberspace for scholars in Public Administration and Policy Sciences in WWW. All knowledge-intensive work has its core the publishing and debating of document. We have created a cyber forum for that work KIPS Cyber Forum has adapted ‘D3E’, the web-tool kit for non-technical users to easily debate and publish documents that exploit to the full networked interactive web media. And, for real-time communication, we added it the voice conferencing system. KIPS has opened Cyber Forum service in November 1998. The visitors on KWS Cyber Forum are increasingly growing, but the participants on the debate are a few. This means that the problems of Cyber Forum Service are not technical, but participation. The result imply that, at now, high participation of scholars on the debate is needed, at first, by the detailed guides for internet, www and relevant technical information. After that more expertly designed interface is to be important.

• Nuclear industry
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• v.20 no.8 s.210
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• pp.28-38
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• 2000

• The Transactions of the Korea Information Processing Society
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• v.4 no.10
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• pp.2512-2520
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• 1997

ITU-T Q.2931 and ATM Forum UNI 3.1 lead the standardization of signaling functions for the call/connection control at B-ISDN UNI. The one is applicable to the system in the public network, which provides the point-to-point call/connection control. The other is applicable to configure ATM private network mainly related with various terminal equipments. Domestic B-ISDN developers have developed ATM switches and B-NTs as network equipment, and B-TA as a terminal equipment. But many kinds of terminal-equipments are needed to provide various services in B-ISDN. If the public network can accommodate the terminal-equipments of UNI 3.1, it's very effective to accommodate manu kinds of terminal-equipments. Therefore, this paper identifies the problems that can be occurred on the signaling procedure, when B-ISDN the public network is connected to the UNI 3.1 terminal-equipment, and provides good alternatives that can handle this kind of call/connection well.

• Nuclear industry
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• v.35 no.8
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• pp.68-71
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• 2015

• Korean Architects
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• s.486
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• pp.91-108
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• 2009

• Nuclear industry
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• no.1_2 s.5
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• pp.21-26
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• 1982

• Nuclear industry
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• v.7 no.7 s.53
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• pp.39-55
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• 1987

다음 내용은 지난 3월 16일에서 4월 24일까지 6주간 미국 알곤원자력 연구소와 카나다 원자력공사에서 공동 주최한 ${\ulcorner}$IAEA원전 안전운전과정${\lrcorner}$에서 특별연사로 초청된 Wisconsin Public Serice사의 S. Burstein부회장이 강의한 것이다. 이 과정에 참가했던 과학기술처 허남 과장이 제공한 자료를 원자력안전센터 은영수 박사가 완역했다.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.246-264
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• 2020

As netizens increasingly utilize social media to obtain and engage with information, this study aims to determine the extent to which the follower-influencer interaction is manifested and strengthened. To analyze information related to the novel coronavirus disease (COVID-19), a total of 62,119 online posts from 11 Internet forums were examined to find a relationship between followers and influencers in Taiwan. These forums are PTT, SOGO, Ck101, Plurk, Mobile01, TalkFetnet, Gamez, PlaySport, Dcard, Eyny, and PCDVD. The variables that were the best predictors of influencer classification were strong influences, engagements, and hot values across 11 Internet forums. Learning the response to the COVID-19 pandemic is vital because public actions could have been fueled by stigmatizing terms that may harm public health and well-being. The results questioned the conventional diffusion of traditional news sources because the influencers brought widespread attention to the health threat issues in the early outbreak stages. This study enhances the understanding of forum types, follower engagement, and influencers' impact maximization in social networks. The conclusion provides insight into the relationships and information diffusion mechanisms to ensure accurate health information dissemination.