• 대한인간공학회지
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• 제34권5호
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• pp.377-399
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• 2015

Objective: The aim of this study is to understand and identify the critical issues in vision research area using content analysis and network analysis. Background: Vision, the most influential factor in information processing, has been studied in a wide range of area. As studies on vision are dispersed across a broad area of research and the number of published researches is ever increasing, a bibliometric analysis towards literature would assist researchers in understanding and identifying critical issues in their research. Method: In this study, content and network analysis were applied on the meta-data of literatures collected using three search keywords: 'visual search', 'eye movement', and 'eye tracking'. Results: Content analysis focuses on extracting meaningful information from the text, deducting seven categories of research area; 'stimuli and task', 'condition', 'measures', 'participants', 'eye movement behavior', 'biological system', and 'cognitive process'. Network analysis extracts relational aspect of research areas, presenting characteristics of sub-groups identified by community detection algorithm. Conclusion: Using these methods, studies on vision were quantitatively analyzed and the results helped understand the overall relation between concepts and keywords. Application: The results of this study suggests that the use of content and network analysis helps identifying not only trends of specific research areas but also the relational aspects of each research issue while minimizing researchers' bias. Moreover, the investigated structural relationship would help identify the interrelated subjects from a macroscopic view.

• 제어로봇시스템학회논문지
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• 제16권1호
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• pp.12-17
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• 2010

The oil tanker ship over 150GRT must equip oil content meter which satisfy requirements of revised MARPOL 73/78. Online measurement of oil content in complex samples is required to have fast response, continuous measurement, and satisfaction of ${\pm}10ppm$ or ${\pm}10%$ error in this field. The research of this paper is to develop oil content measurement system using analysis of light transmission and scattering among turbidity measurement methods. Light transmission and scattering are analytical methods commonly used in instrumentation for online turbidity measurement of oil in water. Gasoline is experimented as a sample and the oil content approximately ranged from 14ppm to 600ppm. TSK Fuzzy Model may be suitable to associate variously derived spectral signals with specific content of oil having various interfering factors. Proposed Parallel TSK Fuzzy Model is reasonably used to classify oil content in comparison with other models. Those measurement methods would be effectively applied and commercialized to oil content meter that is key components of oil discharge monitoring control equipment.

• Asia pacific journal of information systems
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• 제31권4호
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• pp.606-632
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• 2021

With many consumers being exposed to news via social media platforms, news organizations are challenged to attract visitors and generate revenue during visits to their websites. They therefore need detailed information on how to write articles and headlines to increase visitors' engagement with the content to drive advertising revenues. For those news organizations whose business model depends mainly on advertisements, rather than subscriptions, it is particularly crucial to understand what makes the website attractive to their visitors, what drives users to stay on the website, and what factors affect a user's exit decision. The current research examines individual news consumers' choices to find patterns of increase or decrease in user engagement relative to a variety of topics, as well as to the mood or tone of the content. Using clickstream data from a major news organization, the authors develop a user-level dynamic model of clickstream behavior that takes into account the content of both headlines and stories that visitors read. The authors find that readers appear to exhibit state dependence in the tone of the articles that they read. They also show how the topics expressed in headlines can affect the amount of content readers consume when visiting the news organization to a much larger degree than the topics expressed in the content of the article. Online publishers can make use of such findings to present visitors with content that is likely to maintain and/or increase their engagement and consequently drive advertising revenue.

• 유통과학연구
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• 제20권5호
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• pp.65-74
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• 2022

Purpose: This paper evaluates which characteristics of marketing communication content distributed on social networks impact electronic word-of-mouth (e-WOM). Research design, data, and methodology: Quantitative research was carried out on 637 Vietnamese people aged from 18, who were exposed to marketing communication programs of fashion brands. Preliminary data were analyzed by the reliability of the scale, multivariate regression analysis, and analysis of variance. Results: The research findings have identified the four characteristics of social media content that positively impact e-WOM, including entertainment, interaction, trendiness, and customization. Participants aged 30 and under have a higher appreciation for media content and e-WOM than those from 31 and over. Conclusion: To promote e-WOM, marketing communication content distributed on social networks should focus on the following characteristics: (1) The entertainment of marketing communication content should involve positive emotions, fun, and enjoyment; (2) With interactive content, focus should be placed on discussion and exchange content, content that encourages sharing, and two-way interactive content; (3) For trending marketing communication content, marketers consider communicating brand-related latest information, up-to-date information, and hot discussion topics; and (4) When creating customized content, brands should be interesting, customized (information, product, price), and unique.

• 한국콘텐츠학회논문지
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• 제13권3호
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• pp.485-494
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• 2013

본 논문에서는 내용 분석법(content analysis)과 Romey 분석법을 적용하여 공업계 고등학교 '정보 기술 기초' 교과서를 분석하였다. 내용 분석법으로 교과서의 구성 체계와 내용을 분석하였으며, Romey 분석법으로 4개의 분석요소인 본문, 자료, 활동, 평가에 대한 탐구적 경향을 분석하였다. 내용 분석법을 적용한 결과, 교과서를 구성하는 전체 페이지, 읽을거리, 영역별 개념의 수, 응용 소프트웨어 활용에서 교과서별로 차이가 있는 것으로 나타났다. Romey 분석법을 적용한 결과, 교과서 본문이 탐구적 경향이 낮은 권위적인 형태인 것으로 확인되었으며, 분석요소 중 활동에서 2개 교과서 모두 탐구적 경향이 높은 것으로 나타났다. 본 논문에서는 분석 결과를 바탕으로 '정보 기술 기초' 교과서의 개선 방안을 제안하였다.

• 한국콘텐츠학회논문지
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• 제13권11호
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• pp.636-643
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• 2013

방송시장의 급격한 환경변화는 지역방송의 사회적 입지를 위축시키고 재정적 기반을 위협하고 있지만, 동시에 인터넷과 모바일 기반의 플랫폼과 스마트 미디어는 새로운 콘텐츠 유통의 활로로서 가능성을 부여하고 있다. 본 연구는 지역 지상파방송의 수퍼스테이션 사례 및 전문가 인터뷰를 통해 변화하는 방송환경에 적합한 지역방송의 유통모델을 살펴보고, 새로운 유통모델 확립을 위해 지역방송의 역할과 추진해야 할 전략을 논의하였다. MBCNET의 재무성과 및 시청률, 뉴미디어 유통에 대한 분석결과, MBCNET은 콘텐츠 라이브러리와 MBC 지역방송사의 영향력에 힘입어 성공적인 성과를 내고 있는 것으로 나타났다. 그러나 지속적인 경쟁력 강화를 위해 콘텐츠와 플랫폼의 마케팅역량의 향상이 필요하며, 시청자들의 이용행태에 기반한 경쟁력 있는 콘텐츠의 제작역량 강화 및 N스크린 환경에 대응할 수 있는 조직의 정비가 필요한 것으로 분석되었다.

• 한국세라믹학회지
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• 제37권5호
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• pp.479-490
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• 2000

The microstructure of Ni-YSZ composite as an anode of SOFC was investigated as a function of Ni content(10-70 vol%) in order to examine the correlation between microstructural-and electrical property. Image analysis based on quantitative microscopy theory was performed to quantify the microstructural property. We could get the informations about the size and distribution, contiguity and interfacial area of each phase or between the phases from the image analysis. According to the image analysis, contiguity between the same phae was mainly dependent on the amount of the phase while the contiguity between different phases was additionally influenced by the microstructural changes, especailly by the coarsening of the Ni phase. The whole length of pores perimeter was increased as Ni content increased, which indicated the overall microstructural evolution was mostly related with the coarsening of Ni phase. Ni-Ni interfacial area was also gradually increased as Ni content increased but controlled by pore phase at low Ni content region and by YSZ phase at intermediate Ni content region. These quantified microstructural properties were used to characterize the electrical properties of Ni-YSZ composite.

• 펄프종이기술
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• 제45권6호
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• pp.78-87
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• 2013

Even though the notice No. 2010-11 of the Ministry of Food and Drug Safety Administration that has been applied to analyze the content of the water soluble residue eluted from multi-layer paperboard was abolished in 2011, its application for the analysis on evaporation residue is still valid. There are very high possibilities that the noticed existing method gives the misleading result on the evaporation residue due to the water soluble starch eluted from the multi-layer paperboard. The quantitative analysis on water-soluble residue with starch content correction has been carried in the study using UV/Vis spectroscopy and HPLC. The UV/Vis spectroscopy absorbance analysis showed the large amount of the oxidized starch obtained from the aqueous residue eluted out of the multi-layer paperboard after the iodine, ${\alpha}$-amylase reaction, and starch hydrolysis. The residual content decreased by the correction through the enzyme hydrolysis.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

• Asia pacific journal of information systems
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• 제33권3호
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• pp.541-572
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• 2023

Amazon Go is a cashierless convenience store concept, which is seen as a disruption in the grocery retail segment. Although Amazon Go has the ability to disrupt the retail segment, there are speculations on how Amazon Go will be perceived by users. Existing studies have not utilized user-generated content to understand the factors that affect customer behaviour in case of Amazon Go. Additionally, in case of phygital retail, studies have not attempted at understanding the effect of emotions and gratifications on user behaviour. To address the gap of exploring user perspectives based on their experience, we have examined the impact of gratifications and emotions on the acceptance of phygital retail using user-generated-content. A mixed-method approach has been utilized using only user-generated content. Utilizing topic-modelling based content analysis and emotion analysis on 30 articles related to Amazon Go, we found themes like, convenience, technology, experience, personalization, enjoyment and emotions like, bad, good, annoyance, success. In the empirical analysis, we have utilized 522 reviews about Amazon Go from the cognition and emotion theory stance, and found that hedonic gratifications have a positive impact on challenge emotions. We also found a significant impact of emotions on customer's favourite behaviour.