• Title/Summary/Keyword: Content Analysis.

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Analysis of Screen Content Coding Based on HEVC

  • Ahn, Yong-Jo;Ryu, Hochan;Sim, Donggyu;Kang, Jung-Won
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.4
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    • pp.231-236
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    • 2015
  • In this paper, the technical analysis and characteristics of screen content coding (SCC) based on High efficiency video coding (HEVC) are presented. For SCC, which is increasingly used these days, HEVC SCC standardization has been proceeded. Technologies such as intra block copy (IBC), palette coding, and adaptive color transform are developed and adopted to the HEVC SCC standard. This paper examines IBC and palette coding that significantly impacts RD performance of SCC for screen content. The HEVC SCC reference model (SCM) 4.0 was used to comparatively analyze the coding performance of HEVC SCC based on the HEVC range extension (RExt) model for screen content.

Restructure Recommendation Framework for Online Learning Content using Student Feedback Analysis (온라인 학습을 위한 학생 피드백 분석 기반 콘텐츠 재구성 추천 프레임워크)

  • Choi, Ja-Ryoung;Kim, Suin;Lim, Soon-Bum
    • Journal of Korea Multimedia Society
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    • v.21 no.11
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    • pp.1353-1361
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    • 2018
  • With the availability of real-time educational data collection and analysis techniques, the education paradigm is shifting from educator-centric to data-driven lectures. However, most offline and online education frameworks collect students' feedback from question-answering data that can summarize their understanding but requires instructor's attention when students need additional help during lectures. This paper proposes a content restructure recommendation framework based on collected student feedback. We list the types of student feedback and implement a web-based framework that collects both implicit and explicit feedback for content restructuring. With a case study of four-week lectures with 50 students, we analyze the pattern of student feedback and quantitatively validate the effect of the proposed content restructuring measured by the level of student engagement.

The Analysis of Cordycepin and Alcohol Content in accordance with The Various Manufacturing Process of The Liqueur Containing The Cordyceps Extract (동충하초 추출물을 함유한 리큐르의 제조공정에 따른 Cordycepin 및 Alcohol 함량 분석)

  • Choi, Seon-Hyo;Kwon, Sang-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8292-8296
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    • 2015
  • We manufactured a liqueur containing Cordyceps extract. 21 kinds of the liqueur were manufactured and analyzed the cordycepin content, cordycepin stability and alcohol content. Cordycepin content was detected up to $58{\mu}g/mL$ in DL-3(adding Cordyceps militaris and leached for 3 months). Results of Alcohol content analysis, Methanol was not detected in all samples. Ethanol contents showed at 31.4% from the Leaching process for 3 months after distillation, and at 17.2% from the rice wine adding Cordyceps militaris 8 g. In the results of the Cordycepin content stability analysis, the Cordycepin content decreased during storage period little by little, so our considered opinion is that the cordycepin content should be increased slightly when producing as products.

A Machine Learning-based Popularity Prediction Model for YouTube Mukbang Content (머신러닝 기반의 유튜브 먹방 콘텐츠 인기 예측 모델)

  • Beomgeun Seo;Hanjun Lee
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.49-55
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    • 2023
  • In this study, models for predicting the popularity of mukbang content on YouTube were proposed, and factors influencing the popularity of mukbang content were identified through post-analysis. To accomplish this, information on 22,223 pieces of content was collected from top mukbang channels in terms of subscribers using APIs and Pretty Scale. Machine learning algorithms such as Random Forest, XGBoost, and LGBM were used to build models for predicting views and likes. The results of SHAP analysis showed that subscriber count had the most significant impact on view prediction models, while the attractiveness of a creator emerged as the most important variable in the likes prediction model. This confirmed that the precursor factors for content views and likes reactions differ. This study holds academic significance in analyzing a large amount of online content and conducting empirical analysis. It also has practical significance as it informs mukbang creators about viewer content consumption trends and provides guidance for producing high-quality, marketable content.

The Strength Characteristics of Solidified Sandy Soils with Mixing Conditions (배합조건에 따른 고결사질토의 강도특성)

  • Yu, Chan;Chang, Pyung-Wuck;Lee, Chang-No;Roh, Gwang-Ha
    • Proceedings of the Korean Geotechical Society Conference
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    • 1999.02a
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    • pp.84-95
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    • 1999
  • Laboratory experiments were performed to evaluate the strength characteristics of solidified sandy soils by portland cement with mixing conditions. Factors considered in the experiments were the fine content(<#200, %), cement content(%) and water-cement ratio and unconfined compressive strength tests were performed on samples at 7 and 28 cured day. Results of tests showed that for a low cement content(7%∼10%) the fine content was very important while for a high cement content the water-cement ratio was very important. For 7%∼10% cement content, the optimum fine content which gained maximum strength was about 30%. But for 13% cement content, low fine content and water-cement ratio were more useful than others. In the multi regression analysis, significant equation was gained.

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Trends and Prospects in the Application of AI Technology for Creative Contents (차세대 콘텐츠를 위한 AI 기술 활용 동향 및 전망)

  • Hong, S.J.;Lee, S.W.;Yoon, M.S.;Park, J.Y.;Lee, S.W.;Kim, A.Y.;Jeong, I.K.
    • Electronics and Telecommunications Trends
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    • v.35 no.5
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    • pp.123-133
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    • 2020
  • With the development of artificial intelligence (AI) and 5G technology, an ecosystem of digital content is gradually becoming intelligent, immersive, and convergent. However, there is not enough ultra-realistic content for the ecosystem. For ultra-realistic content services, creative content technologies using AI are being developed. This paper introduces the trends in and prospects of creative content technologies such as 3D content creation, digital holography, image-based motion recognition, content analysis/understanding/searching, sport AI, and content distribution.

Effect of polymer addition on air void content of fine grained concretes used in TRCC

  • Daskiran, Esma Gizem;Daskiran, Mehmet Mustafa;Gencoglu, Mustafa
    • Computers and Concrete
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    • v.20 no.2
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    • pp.165-176
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    • 2017
  • Textile Reinforced Cementitious Composite (TRCC) became the most common construction material lately and have excellent properties. TRCC can be employed in the manufacture of thin-walled facade elements, load-bearing integrated formwork, tunnel linings or in the strengthening of existing structures. These composite materials are a combination of matrix and textile materials. There isn't much research done about the usage of polymer modified matrices in textile reinforced cementitious composites. In this study, matrix materials named as fine grained concretes ($d_{max}{\leq}1.0mm$) were investigated. Air entraining effect of polymer modifiers were analyzed and air void content of fine grained concretes were identified with different methods. Aim of this research is to study the effect of polymer modification on the air content of fine grained concretes and the role of defoamer in controlling it. Polymer modifiers caused excessive air entrainment in all mixtures and defoamer material successfully lowered down the air content in all mixtures. Latex polymer modified mixtures had higher air content than redispersible powder modified ones. Air void analysis test was performed on selected mixtures. Air void parameters were compared with the values taken from air content meter. Close results were obtained with tests and air void analysis test found to be useful and applicable to fine grained concretes. Air void content in polymer modified matrix material used in TRCC found significant because of affecting mechanical and permeability parameters directly.

Analysis of acidity and sugar content of beverages for children marketed in Korea (국내 시판 중인 어린이 음료의 산도 및 당도 분석)

  • Jeon, Hyun-Sun;Mun, So-Jung;Lee, Ye-Ji
    • Journal of Korean society of Dental Hygiene
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    • v.19 no.6
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    • pp.1077-1087
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    • 2019
  • Objectives: The purpose of this study was to analyze the risk of dental caries and erosion associated with beverage consumption by measuring the sugar content and acidity of beverages for children, marketed in general food stores and cooperative living associations in Korea. Methods: Sixty types of children's beverages marketed in Korea were selected for the study. Calories, sodium, and carbohydrates in the nutrients per 100 ml, the sugar content, and pH of each beverage were measured. Frequency analysis, independent t-test, and one-way ANOVA were performed (p<0.05). Results: There was no significant difference in sugar content, calories, sodium, and carbohydrate content of regular and cooperative beverages, but the pH of cooperative beverages was significantly higher. Moreover, the mixed drinks had significantly lower sugar content, calories, and carbohydrates than fruit and juice, but the sodium content was significantly higher. Conclusions: When choosing beverages for children, caregivers should be able to easily access information about their impact on the child's oral health. Efforts should be made to maintain appropriate levels of sugar and acidity in beverages for children.

Drought Resistance Assessment of Ground Cover Plants for Low Management and Light Weight Green Roof System (저관리·경량형 옥상녹화를 위한 지피식물의 내건성 평가)

  • Zhao, Hong-Xia;Kang, Tai-Ho
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.16 no.1
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    • pp.83-97
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    • 2013
  • This study was carried out to suggest an experimental base in selecting the drought resistance of plants. Adopting the natural drought method, this paper studies the drought resistance of 12 kinds of ground cover plants. focusing on analyzing the changes of relative water content on leaf, relative electric conductivity and chlorophyll content in 12 kinds of plants, and and the relation between soil water content under drought stress. The drought resistance of the plants were subject to laboratory and rooftop drought resistance treatments. The Logistic model of nonlinear regression analysis was used to evaluate the lethal time that were predicted with the range of 10.4~30.1d on roof top, and 19.5~39.0d on hothouse. The result shows that with the increase of stress time, relative water content and chlorophyll content on leaf were in a downward trend; the relative electric conductivity was upward tendency. Among 12 species of ground cover plants, exclude Pulsatilla koreana, Ainsliaea acerifolia were selected for rooftop plants because they showed resist drought strongly and took adaptive ability.

Analyzing Crowdsourced Mobile Content: Do Games Make a Difference?

  • Pe-Than, Ei Pa Pa;Goh, Dion Hoe-Lian;Lee, Chei Sian
    • Journal of Information Science Theory and Practice
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    • v.5 no.2
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    • pp.6-16
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    • 2017
  • Populating information-rich online environments through crowdsourcing is increasingly becoming popular. One approach to motivate participation is via games. That is, a crowdsourcing game offers entertainment while generating useful outputs as byproducts of gameplay. A gap in current research is that actual usage patterns of crowdsourcing games have not been investigated thoroughly. We thus compare content creation patterns in a game for crowdsourcing mobile content against a non-game version. Our analysis of 3,323 contributions in both apps reveal 10 categories including those that conform to the traditional notion of mobile content created to describe locations of interest, and those that are social in nature. We contend that both types of content are potentially useful as they meet different needs. Further, the distribution of categories varied across the apps suggests that games shape behavior differently from non-game-based approaches to crowdsourcing.