• Title/Summary/Keyword: Content-based Analysis

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A Study on Fashion Design Characteristics and Trend Diffusion in Subversive Basics Online Video Content (서브버시브 베이식(subversive basics) 동영상 콘텐츠의 패션디자인 특성과 트렌드 확산방식에 관한 연구)

  • Minjung Im
    • Journal of Fashion Business
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    • v.27 no.4
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    • pp.88-100
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    • 2023
  • This study analyzed the compositional characteristics of fashion videos and the characteristics of fashion design spreading as trends through Subversive Basics. Literature research and case studies were conducted concurrently. Based on the literature review, an analysis method was designed, focusing on the concept of online video content, Subversive Basics, and the video content type. For the case analysis, videos were collected and classified using Subversive Basics as the keyword. The content was observed, and design features were analyzed. Based on the results, the collected videos were classified into tutorial, curation, and creative content types according to their compositional characteristics. Tutorial content emphasizes practical actions that demonstrate how to make or modify clothing, thereby promoting user-generated content for dissemination. Curation contents provide users with style ideas and information about clothing and purchases to encourage clothing purchases and influence purchase decisions that lead to dissemination through clothing consumption and wear. Creative content showcases the process of modifying and creating clothes to enhance understanding and value of creative design. The characteristics of fashion design utilized in these contents include bold designs with high visual effects as the first category, designs that can be easily and quickly modified due to intentional incompleteness as the second category, and prominently featured body-positive, individualistic designs as the third category. The results of this study can be associated with balanced development between basic design elements and personalized unique designs, catering to consumer needs.

Optimizing the mix design of pervious concrete based on properties and unit cost

  • Taheri, Bahram M.;Ramezanianpour, Amir M.
    • Advances in concrete construction
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    • v.11 no.4
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    • pp.285-298
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    • 2021
  • This study focused on experimental evaluation of mechanical properties of pervious concrete mixtures with the aim of achieving higher values of strength while considering the associated costs. The effectiveness of key parameters, including cement content, water to cement ratio (W/C), aggregate to cement ratio (A/C), and sand replacement was statistically analyzed using paired-samples t-test, Taguchi method and one-way ANOVA. Taguchi analysis determined that in general, the role of W/C was more significant in increasing strength, both compressive and flexural, than cement content and A/C. It was found that increase in replacing percent of coarse aggregate with sand could undermine specimens to percolate water, though one-way ANOVA analysis determined statistically significant increases in values of strength of mixtures. Cost analysis revealed that higher strengths did not necessarily correspond to higher costs; in addition, increasing the cement content was not an appropriate scenario to optimize both strength and cost. In order to obtain the optimal values, response surface method (RSM) was carried out. RSM optimization helped to find out that W/C of 0.40, A/C of 4.0, cement content of about 330 kg/m3 and replacing about 12% of coarse aggregate with sand could result in the best values for strength and cost while maintaining adequate permeability.

Protection of MPEG-2 Multicast Streaming in an IP Set-Top Box Environment

  • Hwang, Seong-Oun;Kim, Jeong-Hyon;Nam, Do-Won;Yoon, Ki-Song
    • ETRI Journal
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    • v.27 no.5
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    • pp.595-607
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    • 2005
  • The widespread use of the Internet has led to the problem of intellectual property and copyright infringement. Digital rights management (DRM) technologies have been developed to protect digital content items. Digital content can be classified into static content (for example, text or media files) and dynamic content (for example, VOD or multicast streams). This paper deals with the protection of a multicast stream on set-top boxes connected to an IP network. In this paper, we examine the following design and architectural issues to be considered when applying DRM functions to multicast streaming service environments: transparent streaming service and large-scale user environments. To address the transparency issue, we introduce a 'selective encryption scheme'. To address the second issue, a 'key packet insertion scheme' and 'hierarchical key management scheme' are introduced. Based on the above design and architecture, we developed a prototype of a multicasting DRM system. The analysis of our implementation shows that it supports transparent and scalable DRM multicasting service in a large-scale user environment.

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Analysis of 'Basic Information Technology' Textbooks in Technical High Schools (공업계 고등학교 '정보 기술 기초' 교과서의 분석)

  • Kang, Oh-Han;Park, Jeong-Mi
    • The Journal of the Korea Contents Association
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    • v.13 no.3
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    • pp.485-494
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    • 2013
  • In this paper, both content analysis and Romey analysis were employed to analyze 'Basic Information Technology' textbooks in technical high schools. Not only was the content analysis employed to study the organization and contents of the textbooks, but also the Romey analysis was applied so as to determine inquisitive tendency on four factors - text, data, activity and evaluation. The results from content analysis showed that the total number of pages, reading material, the number of concepts introduced in each section, and the use of application software demonstrated a discrepancy among textbooks. Also, Romey analysis showed that while the section 'text' was written with relatively low inquiry tendency for its authoritative tone, two textbooks showed high inquisitive tendency for section 'activity'. Finally, based on the obtained results, the ways to improve 'Basic Information Technology' textbooks were proposed.

Effect of preparation based on Paenibacillus ehimensis on the content of alkaloid lappakonitine in harvested rhizomes of Aconitum septentrionale

  • Fedorov, N.I.;Ibatullina, Z.A.;Mikhaylenko, O.I.;Zhigunova, S.N.;Shendel, G.V.;Kuzmina, L.Y.;Abdrakhimova, G.S.;Melentiev, A.I.;Kudoyarova, G.R.
    • Journal of Plant Biotechnology
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    • v.45 no.3
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    • pp.273-278
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    • 2018
  • We performed an analysis of the effect of postharvest treatment of rhizomes of Aconitum septentrionale Koelle with the biological preparation of Bacispecin based on a cytokinin producing strain of Paenibacillus ehimensis IB-739 on the content of alkaloid lappaconitine in rhizomes. The total alkaloid content was assayed based on exhaustive extraction method. The lappaconitine content was measured by HPLC. The efficiency of the preparation was dependant on either the concentration or intensity of the growth processes in rhizomes. Both parameters varied depending on the stage of development of plants and the amount of precipitation. In the years with normal precipitation, concentrations of Bacispecin ranging from 5 to 10 g/l were found to be most effective for increasing lappaconitine content in rhizomes of A. septentrionale. Whereas, under local drought conditions, the concentration of preparation should be less than 2 g/l.

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.

A Bankruptcy Game for Optimize Caching Resource Allocation in Small Cell Networks

  • Zhang, Liying;Wang, Gang;Wang, Fuxiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.5
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    • pp.2319-2337
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    • 2019
  • In this paper, we study the distributed cooperative caching for Internet content providers in a small cell of heterogeneous network (HetNet). A general framework based on bankruptcy game model is put forth for finding the optimal caching policy. In this framework, the small cell and different content providers are modeled as bankrupt company and players, respectively. By introducing strategic decisions into the bankruptcy game, we propose a caching value assessment algorithm based on analytic hierarchy process in the framework of bankruptcy game theory to optimize the caching strategy and increase cache hit ratio. Our analysis shows that resource utilization can be improved through cooperative sharing while considering content providers' satisfaction. When the cache value is measured by multiple factors, not just popularity, the cache hit rate for user access is also increased. Simulation results show that our approach can improve the cache hit rate while ensuring the fairness of the distribution.

A Robust Content-Based Music Retrieval System

  • Lee Kang-Kyu;Yoon Won-Jung;Park Kyu-Sik
    • Proceedings of the IEEK Conference
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    • summer
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    • pp.229-232
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    • 2004
  • In this paper, we propose a robust music retrieval system based on the content analysis of music. New feature extraction method called Multi-Feature Clustering (MFC) is proposed for the robust and optimum performance of the music retrieval system. It is demonstrated that the use of MFC significantly improves the system stability of music retrieval with better classification accuracy.

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Development and Evaluation of e-EBPP(Evidence-Based Practice Protocol) System for Evidence-Based Dementia Nursing Practice (근거중심 치매 간호실무를 위한 e-EBPP 시스템 개발 및 평가)

  • Park, Myonghwa
    • Korean Journal of Adult Nursing
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    • v.17 no.3
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    • pp.411-424
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    • 2005
  • Purpose: The purpose of this study was to develop and evaluate e-EBPP(Evidence-based Practice Protocol) system for nursing care for patients with dementia to facilitate the best evidence-based decision in their dementia care settings. Method: The system was developed based on system development life cycle and software prototyping using the following 5 processes: Analysis, Planning, Developing, Program Operation, and Final Evaluation. Result: The system consisted of modules for evidence-based nursing and protocol, guide for developing protocol, tool for saving, revising, and deleting the protocol, interface tool among users, and tool for evaluating users' satisfaction of the system. On the main page, there were 7 menu bars that consisted of Introduction of site, EBN info, Dementia info, Evidence Based Practice Protocol, Protocol Bank, Community, and Site Link. In the operation of the system, HTML, JavaScript, and Flash were utilized and the content consisted of text content, interactive content, animation, and quiz. Conclusion: This system can support nurses' best and cost-effective clinical decision using sharable standardized protocols consisting of the best evidence in dementia care. In addition, it can be utilized as an e-learning program for nurses and nursing students to learn use of evidence based information.

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Integrating Color, Texture and Edge Features for Content-Based Image Retrieval (내용기반 이미지 검색을 위한 색상, 텍스쳐, 에지 기능의 통합)

  • Ma Ming;Park Dong-Won
    • Science of Emotion and Sensibility
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    • v.7 no.4
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    • pp.57-65
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    • 2004
  • In this paper, we present a hybrid approach which incorporates color, texture and shape in content-based image retrieval. Colors in each image are clustered into a small number of representative colors. The feature descriptor consists of the representative colors and their percentages in the image. A similarity measure similar to the cumulative color histogram distance measure is defined for this descriptor. The co-occurrence matrix as a statistical method is used for texture analysis. An optimal set of five statistical functions are extracted from the co-occurrence matrix of each image, in order to render the feature vector for eachimage maximally informative. The edge information captured within edge histograms is extracted after a pre-processing phase that performs color transformation, quantization, and filtering. The features where thus extracted and stored within feature vectors and were later compared with an intersection-based method. The content-based retrieval system is tested to be effective in terms of retrieval and scalability through experimental results and precision-recall analysis.

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