• Title/Summary/Keyword: Fan pages

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A Study on the Analysis of $CO_2$ Concentration Variation According to the Indoor Space Condition Changes (다양한 실내 환경에서의 $CO_2$ 농도 변화 분석 연구)

  • Ahn, Gwang-Hoon;Kwon, Jong-Won;Kim, Gyu-Sik;Kim, Hie-Sik
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.347-349
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    • 2009
  • Air quality of indoor space environment is affected by various pollutants like as particles and chemical stuffs. The indoor air pollution affects directly the human respiration organs to cause consequently unpleasant mental status. The $CO_2$ concentration level is one of the harmful components of air pollutants. Major factor to increase the $CO_2$ concentration level is the people's breath amount in indoor. The car exhaust gas diffused from the around road also has strong affect on $CO_2$ concentration. There are some other reasons to affect the $CO_2$ concentration change, such as, real-time change of the population movement, closeness to the indoor air flow inlet window and changes in road car traffic amount. A remote monitoring system to measure environmental indoor air pollution concerning on the $CO_2$ concentration was studied and installed realized set-up model. Zigbee network configuration was applied for this system and the $CO_2$ concentration data were collected through USN network. A software program was developed to assure systematic analysis and to display real-time data on web pages. For the experimental test various condition was set up, like as, window opening, stopping air condition operation and adjusting fan heater work, etc. The analysis result showed the relation of various environmental conditions to $CO_2$ concentration changes. The causes to increase $CO_2$ concentration were experimentally defined as windows closing, the stopping air condition system, fan heater operation. To keep the $CO_2$ concentration under the legally required ppm level in public access indoor space, the developed remote measurement system will be usefully applied.

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A Study on Chinese K-pop Fandom from the Perspective of the Audience and Consumers (관객과 소비자 관점에서의 중국 K-pop 팬덤에 대한 연구)

  • Su, Xiameizi;Chang, Woong-Jo
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.3
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    • pp.51-64
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    • 2021
  • Among global K-pop fandoms Chinese fandom is a longtime and very strong consumer power in the K-pop industry due to its adjacent geographical location and low cultural barriers. Yet, there is a significant lack of research on Chinese K-pop fandom; most of what is available is from the producers' points of view. Research that explores the position and experience of Chinese fans, who are both mass audience and consumers, is slow to emerge. Thus, there is a need for systematic and careful study of Chinese K-pop fandom. In this research, we conducted a phenomenological study of the experience of Chinese fans of K-pop culture. We conducted participatory observation and in-depth interviews (including a FGI) with Chinese superintendents and active participants in Chinese K-pop fan clubs and fan pages. We then coded the data, following the theory of fandom developed by scholars such as Fiske (1992), and analyzed the phenomenon of Chinese K-pop fandom from the frame of the overall societal environment. We considered the psychological and behavioral characteristics of Chinese fans and the influences they receive from their turbulent social environments. We also considered the expectations of and opinions on the development of K-pop culture from their perspective. Based on our findings, the significant role and influence of independent fans and interdependent fandom in the development of K-pop culture and industry are identified. Finally, we emphasize that the role as facilitators of K-pop agencies is critical in the establishment of communication and trust between fans, K-pop artists, and the agencies.

Virtual reference image-based video coding using FRUC algorithm (FRUC 알고리즘을 사용한 가상 참조 이미지 기반 부호화 기술 연구)

  • Yang, Fan;Han, Heeji;Choi, Haechul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.650-652
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    • 2022
  • Frame rate up-conversion (FRUC) algorithm is an image interpolation technology that improves the frame rate of moving pictures. This solves problems such as screen shake or blurry motion caused by low frame rate video in high-definition digital video systems, and provides viewers with a more free and smooth visual experience. In this paper, we propose a video compression technique using deep learning-based FRUC algorithm. The proposed method compresses and transmits after excluding some images from the original video, and uses a deep learning-based interpolation method in the decoding process to restore the excluded images, thereby compressing them with high efficiency. In the experiment, the compression performance was evaluated using the decoded image and the image restored by the FRUC algorithm after encoding the video by skipping 1 or 3 pages. When 1 and 3 sheets were excluded, the average BD-rate decreased by 81.22% and 27.80%. The reason that excluding three images has lower encoding efficiency than excluding one is because the PSNR of the image reconstructed by the FRUC method is low.

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The Effect of Corporate SNS Marketing on User Behavior: Focusing on Facebook Fan Page Analytics (기업의 SNS 마케팅 활동이 이용자 행동에 미치는 영향: 페이스북 팬페이지 애널리틱스를 중심으로)

  • Jeon, Hyeong-Jun;Seo, Bong-Goon;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.26 no.1
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    • pp.75-95
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    • 2020
  • With the growth of social networks, various forms of SNS have emerged. Based on various motivations for use such as interactivity, information exchange, and entertainment, SNS users are also on the fast-growing trend. Facebook is the main SNS channel, and companies have started using Facebook pages as a public relations channel. To this end, in the early stages of operation, companies began to secure a number of fans, and as a result, the number of corporate Facebook fans has recently increased to as many as millions. from a corporate perspective, Facebook is attracting attention because it makes it easier for you to meet the customers you want. Facebook provides an efficient advertising platform based on the numerous data it has. Advertising targeting can be conducted using their demographic characteristics, behavior, or contact information. It is optimized for advertisements that can expose information to a desired target, so that results can be obtained more effectively. it rethink and communicate corporate brand image to customers through contents. The study was conducted through Facebook advertising data, and could be of great help to business people working in the online advertising industry. For this reason, the independent variables used in the research were selected based on the characteristics of the content that the actual business is concerned with. Recently, the company's Facebook page operation goal is to go beyond securing the number of fan pages, branding to promote its brand, and further aiming to communicate with major customers. the main figures for this assessment are Facebook's 'OK', 'Attachment', 'Share', and 'Number of Click' which are the dependent variables of this study. in order to measure the outcome of the target, the consumer's response is set as a key measurable key performance indicator (KPI), and a strategy is set and executed to achieve this. Here, KPI uses Facebook's ad numbers 'reach', 'exposure', 'like', 'share', 'comment', 'clicks', and 'CPC' depending on the situation. in order to achieve the corresponding figures, the consideration of content production must be prior, and in this study, the independent variables were organized by dividing into three considerations for content production into three. The effects of content material, content structure, and message styles on Facebook's user behavior were analyzed using regression analysis. Content materials are related to the content's difficulty, company relevance, and daily involvement. According to existing research, it was very important how the content would attract users' interest. Content could be divided into informative content and interesting content. Informational content is content related to the brand, and information exchange with users is important. Interesting content is defined as posts that are not related to brands related to interesting movies or anecdotes. Based on this, this study started with the assumption that the difficulty, company relevance, and daily involvement have an effect on the dependent variable. In addition, previous studies have found that content types affect Facebook user activity. I think it depends on the combination of photos and text used in the content. Based on this study, the actual photos were used and the hashtag and independent variables were also examined. Finally, we focused on the advertising message. In the previous studies, the effect of advertising messages on users was different depending on whether they were narrative or non-narrative, and furthermore, the influence on message intimacy was different. In this study, we conducted research on the behavior that Facebook users' behavior would be different depending on the language and formality. For dependent variables, 'OK' and 'Full Click Count' are set by every user's action on the content. In this study, we defined each independent variable in the existing study literature and analyzed the effect on the dependent variable, and found that 'good' factors such as 'self association', 'actual use', and 'hidden' are important. Could. Material difficulties', 'actual participation' and 'large scale * difficulties'. In addition, variables such as 'Self Connect', 'Actual Engagement' and 'Sexual Sexual Attention' have been shown to have a significant impact on 'Full Click'. It is expected that through research results, it is possible to contribute to the operation and production strategy of company Facebook operators and content creators by presenting a content strategy optimized for the purpose of the content. In this study, we defined each independent variable in the existing research literature and analyzed its effect on the dependent variable, and we could see that factors on 'good' were significant such as 'self-association', 'reality use', 'concernal material difficulty', 'real-life involvement' and 'massive*difficulty'. In addition, variables such as 'self-connection', 'real-life involvement' and 'formative*attention' were shown to have significant effects for 'full-click'. Through the research results, it is expected that by presenting an optimized content strategy for content purposes, it can contribute to the operation and production strategy of corporate Facebook operators and content producers.

Study on Corporate Facebook Posts and User Engagement of the KOSPI 100 Companies in Korea: Difference between B2B and B2C Companies (국내 100대 기업 페이스북 콘텐츠 전략과 인게이지먼트 연구: B2B·B2C 기업 간 차이를 중심으로)

  • Jo, Joohong;Ko, Chaeeun;Baek, Hyunmi
    • Knowledge Management Research
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    • v.23 no.3
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    • pp.65-88
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    • 2022
  • Companies actively engage with the public through social media to enhance sales and promote brand awareness, which was further encouraged by the pandemic. However, previous studies tend to consider companies as a group of identical features. This study focuses on the differences between B2B and B2C companies' social media content strategy in relation to user engagement. This study categorized KOSPI 100 companies that manage Facebook corporate fan pages into B2B and B2C, and then analyzed the contents they posted from January 1 to December 31, 2020. The result showed that B2C companies tended to use videos over images, prefer hashtags, and comment its product name more often compared to B2B companies. B2B companies preferred images, used more hyperlinks, and mentioned its company name more often. In B2B companies, images and length of text had positive effects on user engagement, while hyperlink and URL had negative effects. B2C companies' text length had positive effect on user engagement. This study provides practical implications to PR practitioners for establishing a social media strategy which enhances user engagement.