• Title/Summary/Keyword: Analysis of Category Data

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Analysis of Wind Environments at Homi-Cape, Pohang (포항 호미곶의 풍환경 분석)

  • Kim Hyun-Goo;Choi Jae-Ou;Jung Woo-Sik
    • Proceedings of the KSME Conference
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    • 2002.08a
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    • pp.451-454
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    • 2002
  • In the present paper, the practicability of Commentray on Wind Loads of Korean Standard Design Loads fur Buildings, which has been enacted in Minstry of Construction and Transportation in June 2000, is validated by using the meteorological data measured at Homi-Cape, Pohang. Assuming that the vertical wind profile follows the power-law in a quasi-steady state, wind profile exponents are calculated by seasons by using wind data as collected through four monitoring towers. According to the Commentray on Wind Loads, Pohang is classified with its exposure category being B and the wind profile exponent being 0.22, while it is identified that the average wind profile exponent as calculated in this study is 0.26. Also, in this paper, a cross-correlation method is suggested in order to identify any meteorological correlation between measurement sites quantitatively.

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Implementing an Analysis System for Housing Business Based on Seoul Apartment Price Data (주택 사업 분석 시스템 구축 : 서울지역 아파트 가격 데이터를 중심으로)

  • 김태훈;이희석;김재윤;전진오;이은식
    • The Journal of Information Technology and Database
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    • v.6 no.2
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    • pp.115-130
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    • 1999
  • The price structure of housing market varies depending upon market price policy rather than low or high price policy because of IMF. The object of this study is to develop an analysis system for analyzing housing market and its demand. The analysis system consists of four major categories: macro index analysis, market decision analysis, housing market analysis, and consumer analysis. We model each category by using a variety of techniques such as generalized linear model, categorical analysis, bubble analysis, drill-down analysis, price sensitivity meter analysis, optimum price index analysis, profit index measurement analysis, correspondence analysis, conjoint analysis, and multidimensional scaling analysis. Seoul apartment data is analyzed to demonstrate the practical usefulness of the system.

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Purchase Transaction Similarity Measure Considering Product Taxonomy (상품 분류 체계를 고려한 구매이력 유사도 측정 기법)

  • Yang, Yu-Jeong;Lee, Ki Yong
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.9
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    • pp.363-372
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    • 2019
  • A sequence refers to data in which the order exists on the two items, and purchase transaction data in which the products purchased by one customer are listed is one of the representative sequence data. In general, all goods have a product taxonomy, such as category/ sub-category/ sub-sub category, and if they are similar to each other, they are classified into the same category according to their characteristics. Therefore, in this paper, we not only consider the purchase order of products to compare two purchase transaction sequences, but also calculate their similarity by giving a higher score if they are in the same category in spite of their difference. Especially, in order to choose the best similarity measure that directly affects the calculation performance of the purchase transaction sequences, we have compared the performance of three representative similarity measures, the Levenshtein distance, dynamic time warping distance, and the Needleman-Wunsch similarity. We have extended the existing methods to take into account the product taxonomy. For conventional similarity measures, the comparison of goods in two sequences is calculated by simply assigning a value of 0 or 1 according to whether or not the product is matched. However, the proposed method is subdivided to have a value between 0 and 1 using the product taxonomy tree to give a different degree of relevance between the two products, even if they are different products. Through experiments, we have confirmed that the proposed method was measured the similarity more accurately than the previous method. Furthermore, we have confirmed that dynamic time warping distance was the most suitable measure because it considered the degree of association of the product in the sequence and showed good performance for two sequences with different lengths.

Quality Control Program and Its Results of Korean Society for Cytopathologists (대한세포병리학회 정도관리 현황 및 결과)

  • Lee, Hye-Kyung;Kim, Sung-Nam;Khang, Shin-Kwang;Kang, Chang-Suk;Yoon, Hye-Kyoung
    • The Korean Journal of Cytopathology
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    • v.19 no.2
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    • pp.65-71
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    • 2008
  • In Korea, the quality control(QC) program forcytopathology was introduced in 1995. The program consists of a checklist for the cytolopathology departments, analysis data on all the participating institutions' QC data, including the annual data on cytologic examinations, the distribution of the gynecological cytologic diagnoses, as based on The Bethesda System 2001, and the data on cytologic-histolgical correlation of the gynecological field, and an evaluation for diagnostic accuracy. The diagnostic accuracy program has been performed 3 times per year with using gynecological, body fluid and fine needle aspiration cytologic slides. We report here on the institutional QC data and the evaluation for diagnostic accuracy since 2004, and also on the new strategy for quality control and assurance in the cytologic field. The diagnostic accuracy results of both the participating institutions and the QC committee were as follows; Category 0 and A: about 94%, Category B: 4-5%, Category C: less than 2%. As a whole, the cytologic daignostic accuracy is relatively satisfactory. In 2008, on site evaluation for pathology and cytology laboratories, as based on the "Quality Assurance Program for Pathology Services" is now going on, and a new method using virtual slides or image files for determining the diagnostic accuracy will be performed in November 2008.

VMD(Visual Merchandizing) Strategy Analysis for Revitalizing Web Fashion Star shop

  • Lee, Kun-Hee
    • Journal of Fashion Business
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    • v.12 no.6
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    • pp.138-151
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    • 2008
  • This study aims at providing comprehensive data which would be helpful to establish a web shopping mall by analyzing the structure of web fashion star shops which have recently emerged as a result of advances in digital technology and communication. For the purpose of analyzing VMD strategy used in web fashion star shop, we adopt both of the documental and empirical research methods, based on which we examine the concept of E-commerce and current business situation of web fashion star shop industry, and then analyze the main page, product category page and product detail page in a star shop featured by a male pop star within a web shopping mall. According to our analysis of the structure of web fashion star shop, in case of open market, a banner with star's image on it leads to star shop when people click on the link of the banner, and in case of independent mall, they show each star's unique style in the main page. Product category page is linked to each product detail page which presents items of various fashion coordinates, satisfying needs of consumers to follow star's trendy fashion sense.

Mothers' Experiences of Caring for Visually Impaired Children (시각장애 아동을 위한 어머니의 돌봄 경험)

  • Oh, Sangeun
    • Child Health Nursing Research
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    • v.23 no.2
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    • pp.219-228
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    • 2017
  • Purpose: The purpose of this study was to understand and explore the essences of Korean mothers' experiences of caring for visually impaired children. Methods: Data were collected through individual in-depth interviews using open-ended questions. Five mothers of children with visual impairments participated in the interviews. Verbatim transcripts were analyzed using phenomenological analysis. Results: Analysis with Colaizzi's method showed two categories which included 14 themes in 4 theme clusters. The first category was 'surviving in the dark reality' included 2 theme clusters, of 'outcrying in the darkness' and 'enduring the darkness while caring for my child alone'. The second category was 'living as the light of maternal affection' including 2 theme clusters of 'preparing the light to shine in the darkness' and 'going through the darkness with the lights of love'. Conclusion: The findings from this study provide deep understanding of mothers' experiences of caring for visually impaired children. Based on the results of the study, health professionals can develop effective family nursing interventions to improve the quality of life for these families including the visually impaired children and their mothers.

An Analysis of Household Expenditures for Wedding, Funeral, Ancestor Worship, and 60th Birthday Anniversary (도시가계의 가정의례비 지출에 대한 관련요인 분석)

  • 이윤금
    • Journal of the Korean Home Economics Association
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    • v.36 no.9
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    • pp.35-47
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    • 1998
  • The purpose of this study was to investigate the effect of household characteristics on household expenditures on wedding, funeral, ancestor worship, and 60th birthday anniversary. Data for this study were from the 1996 Annual Report on the Family Income and Expenditure Survey. OLS regression analysis was used to identify the effect of household characteristics on money spent on family ceremony expenditures. The household income, age of head, education of head, and family size were all significant factors for understanding family ceremony expenditures. The results also indicated that additional income from wife's labor force participation was associated with lesser expenditures on family ceremony, while business income, asset income, and transfer income had no effects on this category. The effect of the third quarter of 1996 was significant on family ceremony expenditures, indication that households spent significantly less for this category in the summer than did in the winter, holding other factors constant.

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A Case Study on Text Analysis Using Meal Kit Product Review Data (밀키트 제품 리뷰 데이터를 이용한 텍스트 분석 사례 연구)

  • Choi, Hyeseon;Yeon, Kyupil
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.1-15
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    • 2022
  • In this study, text analysis was performed on the mealkit product review data to identify factors affecting the evaluation of the mealkit product. The data used for the analysis were collected by scraping 334,498 reviews of mealkit products in Naver shopping site. After preprocessing the text data, wordclouds and sentiment analyses based on word frequency and normalized TF-IDF were performed. Logistic regression model was applied to predict the polarity of reviews on mealkit products. From the logistic regression models derived for each product category, the main factors that caused positive and negative emotions were identified. As a result, it was verified that text analysis can be a useful tool that provides a basis for maximizing positive factors for a specific category, menu, and material and removing negative risk factors when developing a mealkit product.

A Study on the Trend of Research in Food Science and Nutrition: Published in Journal of the Korean Society of Food Culture for last 21 years (식품영양 분야 연구동향: 지난 21년간 한국식생활문화학회지에 발표된 논문을 중심으로)

  • Lee, Yunkyoung;Lee, Kyung Won;Kim, Yuri
    • Journal of the Korean Society of Food Culture
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    • v.37 no.5
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    • pp.385-409
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    • 2022
  • This study investigated the trend of research on 'Food science and Nutrition' in previously published papers in the Journal of Korean Society of Food Culture (JKSFC) from 2000 to 2021. Total number of published papers in this category in the JKSFC was 693 which we classified into 7 main categories and 40 subcategories. Of these, 256 articles were on 'experimental cooking' which was the most studied field among 7 main categories. There was a total of 19 published papers under the category of 'microbiology and fermentation'. A total of 133 articles were published on 'functional foods' and provided essential data for discovering new materials under the theme of various physiological active functions of food materials. Furthermore, 107 articles were included in 'food processing and storage', which provided integrated knowledge of economy, stability and practicality based on various technologies. A total of 144 articles was included in the category of 'nutrition'. Under the category of 'nutrition', the most actively studied topic was 'eating behaviors and dietary habits,' and the trending topic was 'use of healthcare big data.' In conclusion, this review would provide trends of various categories of food science and nutrition area for recent 21 years and suggest directions for future research.

Dynamic Simple Correspondence Analysis

  • Choi Yong-Seok;Hyun Gee Hong;Seo Myung Rok
    • Communications for Statistical Applications and Methods
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    • v.12 no.1
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    • pp.199-205
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    • 2005
  • In general, simple correspondence analysis has handled mainly correspondence relations between the row and column categories but can not display the trends of their change over the time. For solving this problem, we will propose DSCA(Dynamic Simple Correspondence Analysis) of transition matrix data using supplementary categories in this study, Moreover, DSCA provides its trend of the change for the future by predicting and displaying trend toward the change from a standard point of time to the next.