• Title/Summary/Keyword: Content-based Analysis

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Recipe Standardization and Nutrient Analysis of Local Foods of Cheollabuk-do Province(The First Report) (전라북도 향토음식의 조리법 표준화 및 영양분석 분석(제1보)-전주비빔밥, 콩나물국밥, 민물장어구이, 애저찜, 아귀찜-)

  • 주종재;신미경;권경순;윤계순
    • Korean Journal of Community Nutrition
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    • v.3 no.4
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    • pp.630-641
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    • 1998
  • As the incidence of diet-related diseases increase, much attention has been focused of traditional foods. Traditional foods are ultimately based on local foods. However, there has been little study looking into the recipes and nutritional value of local foods. Therefore, the present study was designed to standardize recipes and analyze the nutrients of some representative local foods of Cheollabuk-do Province. Their foods were Cheonju pibimpap, kongnamulgukpap, minmuljangokui, aejeotchim and aguytichim. Test recipes for each food were prepared, being based on various information obtained from personal interviews, literature surveys of restaurant recipes. Then test recepe was subjected to sensory evaluation. All characteristics of each food were judged as "satisfactory". The analysis of nutrient composition revealed that in general energy content was low whereas protein content was as high as recommended reguirement in all foods except for kongnamulgukpap. Vitamin content was generally high but contents of calcium and iron were relatively low in all foods. Cheonju pibimpap was rich in dietary fiber. Dietary fiber content of Cheonju pibimpap was 16.6g per serving size. All foods contained considerable amounts of essential amino acids. The major fatty acide were oleic acid, linoleic acid and glutamic acid, oleic acid being the highest in terms of composition ratio.ion ratio.

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Content Based Brand Image Searching Algorithm using GHA (GHA를 이용한 상표영상의 내용기반 검색 알고리즘)

  • 서석배;성창우;이경화;강대성
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.129-132
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    • 2000
  • In this paper, we deal with content based searching algorithm for brand image using GHA(Generalized Hebbian Algorithm). GHA is a part of PCA(Principal Component Analysis), that has single-layer perceptron operates and self-organizing performances. We used this algorithm for feature extracts of brand images, and our simulations verify the high performance than present text based methods.

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Video Content Manipulation Using 3D Analysis for MPEG-4

  • Sull, Sanghoon
    • Journal of Broadcast Engineering
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    • v.2 no.2
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    • pp.125-135
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    • 1997
  • This paper is concerned with realistic mainpulation of content in video sequences. Manipulation of content in video sequences is one of the content-based functionalities for MPEG-4 Visual standard. We present an approach to synthesizing video sequences by using the intermediate outputs of three-dimensional (3D) motion and depth analysis. For concreteness, we focus on video showing 3D motion of an observer relative to a scene containing planar runways (or roads). We first present a simple runway (or road) model. Then, we describe a method of identifying the runway (or road) boundary in the image using the Point of Heading Direction (PHD) which is defined as the image of, the ray along which a camera moves. The 3D motion of the camera is obtained from one of the existing 3D analysis methods. Then, a video sequence containing a runway is manipulated by (i) coloring the scene part above a vanishing line, say blue, to show sky, (ii) filling in the occluded scene parts, and (iii) overlaying the identified runway edges and placing yellow disks in them, simulating lights. Experimental results for a real video sequence are presented.

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An Exploratory Study of Technology Planning Using Content Analysis & Hype Cycle (뉴스 내용분석과 하이프 사이클을 활용한 기술기획의 탐색적 연구: 클라우드 컴퓨팅 기술을 중심으로)

  • Suh, Yoonkyo;Kim, Si jeoung
    • Journal of Korea Technology Innovation Society
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    • v.19 no.1
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    • pp.80-104
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    • 2016
  • Existing methodologies of technology planning about promising new technology focused on target technology itself, so it is true that socio-environmental context which the relevant technology has influence on is not well understood. In this respect, this study is aimed to questingly examine that news content analysis methodologies widely available in the field of science communication can be applied as a complementary methodology for contextual understanding of socio-environment in terms of technology planning about promising new technology. In the co-evolutionary environment of technology-society, promising new technology shows hype phenomenon regarding the relation with the society. Based on this, this study performed news content analysis and examined if the consequences of analysis would match hype cycle. It tried to explore substantive content understanding by socio-environment factors according to specific news frame content. To do this, new content analysis was performed targeting cloud computing as a representative promising new technology. The result of news content analysis targeting general newspapers, business news, IT special newspapers revealed that the tendency of news reporting matched the trend of hype cycle. Particularly, it was verified that reporting attitude and news frame analysis provided useful information to understand contextual content depending on social, economic, and cultural environment factors about promising new technology. The results of this study implied that news content analysis could overcome the limitation of technology information analysis focusing on academic journal patent usually applied for technology planning and could be used as a complementary methodology for understanding the context depending on macro-environment factors. In conclusion, application of news content analysis on the phase of macro-environment analysis of technology planning could contribute to the securement of mutually balanced view in the co-evolutionary perspective of technology-society.

Analysis of Nursing Needs of Home-dwelling Breast Cancer Patients Based on Counselling Contents (상담일지에 근거한 재가 유방암 환자의 간호요구도 내용분석)

  • Kim, Eun Ja;Hyun, Jin Sook;Han, Jung Hwa;Kim, Nahyun
    • Journal of Korean Public Health Nursing
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    • v.30 no.3
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    • pp.420-433
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    • 2016
  • Purpose: This study was performed to identify the nursing needs of home-dwelling breast cancer patients based on counseling contents. Methods: Descriptive research was conducted with content analysis. This study included 185 patients who underwent treatment for breast cancer in a tertiary hospital. The data were collected using personal counseling via telephone or face-to-face between March 2011 and July 2013. A total of 536 counseling contents were used in the analysis. Inductive content analysis was used to analyze the contents related to nursing counselling. Results: According to the results. the most frequently reported nursing needs was symptom management, followed by information needs and supportive intervention needs; symptom management needs included symptoms related to chemotherapy, daily living, surgery, and medication side effects; information needs included treatments, medication, clinical tests, and alternative therapies; and supportive intervention needs were related to emotional and social aspects. Conclusion: Our findings suggest that nursing interventions for home-dwelling breast cancer patients should be designed and provided with a consideration to these relevant nursing needs.

Negative e-WOM based consumer reviews of clothing on Internet open market site (인터넷 오픈마켓 의류상품의 사용후기를 통한 부정적 구전)

  • Kim, Sung-Hee
    • Journal of Fashion Business
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    • v.14 no.5
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    • pp.49-65
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    • 2010
  • The purpose of this paper is to derive the categories of negative e-WOM (electronic word of mouth) via consumer review. Disclosing the details of negative e-WOM based consumer reviews has never been done before. For this reason, a content analysis was adopted to provide knowledge and understanding of the phenomenon. This paper analyzes the content of 630 consumer reviews posted on the open market internet site, www.auction.co.kr. The analysis was conducted from October 20th, 2008 to March 10th, 2009. The results indicated that the negative e-WOM based consumer reviews can be divided into two categories: the cognitive evaluation and the expression of consumer's emotion. The category of cognitive evaluation is consisted of negative e-WOM of product, negative e-WOM of service, and warning about the risk of purchasing products. The category of expressing consumers' emotion are composed of venting customers' dissatisfaction and passive response of dissatisfaction. Investigating the details of negative e-WOM has a number of implications. Most importantly, the results revealed multidimensional structure of negative e-WOM. This understanding of negative e-WOM communication allows marketers to improve products and services that better meet customers' current and future needs.

Content Analysis as a Method for Measuring Exploitation and Exploration: Discussion with Example Application to the Worldwide Optical Library Industry (활용과 탐색 측정을 위한 방법론으로써 콘텐츠 분석 :세계 광디스크 라이브러리장치 산업)

  • Yu, Gun Jea
    • The Journal of the Korea Contents Association
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    • v.14 no.7
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    • pp.495-510
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    • 2014
  • Measures of exploration and exploitation fall into three categories, patent-based measures, survey-based measures, and press-based measures. Such variety stems from the lack of consensus on definitions of exploration and exploitation. Given a dynamic nature of exploration and exploitation, I suggested how to improve existing press-based measures by suggesting strategies and procedures for constructing valid and reliable press-based measures in a single industry context. I illustrate my arguments through a study of the worldwide optical disk industry.

Conveyed Message in YouTube Product Review Videos: The discrepancy between sponsored and non-sponsored product review videos

  • Kim, Do Hun;Suh, Ji Hae
    • The Journal of Information Systems
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    • v.32 no.4
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    • pp.29-50
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    • 2023
  • Purpose The impact of online reviews is widely acknowledged, with extensive research focused on text-based reviews. However, there's a lack of research regarding reviews in video format. To address this gap, this study aims to explore the connection between company-sponsored product review videos and the extent of directive speech within them. This article analyzed viewer sentiments expressed in video comments based on the level of directive speech used by the presenter. Design/methodology/approach This study involved analyzing speech acts in review videos based on sponsorship and examining consumer reactions through sentiment analysis of comments. We used Speech Act theory to perform the analysis. Findings YouTubers who receive company sponsorship for review videos tend to employ more directive speech. Furthermore, this increased use of directive speech is associated with a higher occurrence of negative consumer comments. This study's outcomes are valuable for the realm of user-generated content and natural language processing, offering practical insights for YouTube marketing strategies.

QUANTITATIVE ANALYSES USING 4D MODELS - AN EXPLORATIVE STUDY

  • Rogier Jongeling;Jonghoon Kim;Claudio Mourgues;Martin Fischer;Thomas Olofsson
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.830-835
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    • 2005
  • 4D models help construction planners to develop and evaluate construction plans. However, current analyses using 4D models are mainly visual and limit the quantitative comparison of construction alternatives. This paper explores the usefulness of extracting quantitative information from 4D models to support time-space analyses. We use two 4D models of an industry test case to illustrate how to analyze 4D content quantitatively (i.e., work space areas and distances between concurrent activities). This paper shows how these two types of 4D content can be extracted from 4D models to support 4D-based-analysis and novel presentation of construction planning information. We suggest further research to formalize the content of 4D models to enable comparative quantitative analyses of construction planning alternatives. Formalized 4D content will enable the development of reasoning mechanisms that automate 4D-model-based analyses and provide the information content for informative presentations of construction planning information.

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An Importance-Performance Analysis on the e-Learning Content Components of Cyber Graduate School (원격대학원 콘텐츠 구성요소에 대한 중요도-수행도 분석: J대학 원격대학원 사례를 중심으로)

  • Lee, Jung Yull
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.303-312
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    • 2022
  • In this study, the importance-performance analysis (IPA) of the content components of remote graduate students was conducted. To this end, an online survey of 221 remote graduate students at J University obtained the following results. First, the importance of content components by area was in the order of learning content, interaction, teaching-learning strategy, and evaluation, and the degree of execution was in the order of teaching-learning strategy, interaction, evaluation, and learning content. Second, it was found that there were significant differences between importance and performance in the four areas of content components: learning content, teaching-learning strategy, interaction, and evaluation. The importance-execution analysis (IPA) was conducted in two dimensions: region-specific and item-specific, and the results are as follows. The learning content was found to be the maintenance area, the teaching-learning strategy and interaction were the key improvement areas, and the evaluation area was the overinvestment area. The results of this study can be used as basic data to diagnose the present of remote graduate school content and to gauge what needs to be improved in the future based on it.