• 제목/요약/키워드: Portal analysis

검색결과 674건 처리시간 0.034초

RAID 시스템의 Log 관리에 의한 서버효율성 향상기법연구 (Scheme for Raising Effectiveness of Servers by Log Management of RAID System)

  • 박우영;김재중;곽계달;신승중
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2009년도 추계학술발표대회
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    • pp.955-956
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    • 2009
  • 이 Paper는 Server 솔루션에서 사용되는 RAID 컨트롤러가 Disk 상의 에러(Error)를 처리하는 behavior를 분석하고 이를 개선할 수 있는 방법을 제안한다. RAID Level 중에 가장 기본인 RAID 0는 주로 Internet portal site의 Search Engines 이나 Media streaming Servers, 그리고 HD 영상 편집 시스템에서 사용된다. 그러나 Fault tolerance가 지원되지 않기 때문에 Data Volume(logical Disk)의 보존성이 약한 취약점을 가지고 있다. 따라서 이것을 개선하고 Data 보존성을 높일 수 있는 방안을 제시한다.

포털사이트의 인터넷 비즈니스 모델 분석 및 설계 (Analysis and Design of the Internet Business Model on Portal Sites)

  • 고민정
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2008년도 추계학술발표대회
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    • pp.753-756
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    • 2008
  • 최근 인터넷의 생활화로 이를 기반으로 수익을 창출하는 새로운 형태의 거래가 확산되고 있다. 이러한 형태는 포털사이트를 기반으로 커뮤니티를 형성하고, 이를 통하여 확보된 회원들을 대상으로 광고수익이나 판매가 이루어지는 형태의 비즈니스 모델들이다. 하나 기존 오프라인 중심으로 정의된 인터넷 비즈니스 모델들을 적용하여 이러한 포털사이트 기반의 비즈니스들을 분류할 경우 여러 범주에 포함 되어서 이들을 분류하기 어려운 문제점이 있다. 이로 인하여 새로 생성되는 인터넷 비즈니스 모델들을 활용한 사업의 가능성과 이들이 기술적으로 실현이 가능한지 여부, 이들에게 요구되는 요소들에 대한 분석에 어려움이 많다. 본 논문에서는 이러한 문제점을 해결하기위하여 현재 가장 많이 사용되는 포털사이트들을 기존 인터넷 비즈니스 모델을 적용하여 비교 분석하고, 여기서 새로운 모델 정의에 필요한 요소들을 추출하여 이를 반영한 새로운 인터넷 비즈니스 모델들을 설계한다. 이를 통하여 변화하는 환경에 적응이 가능한 포털사이트 기반의 인터넷 비즈니스 모델의 정의와 분석이 가능하다.

텍스트 마이닝을 활용한 건설안전사고 빅데이터 분석 (Big Data Analytics of Construction Safety Incidents Using Text Mining)

  • 서정욱;송지훈
    • 한국산업융합학회 논문집
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    • 제27권3호
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    • pp.581-590
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    • 2024
  • This study aims to extract key topics through text mining of incident records (incident history, post-incident measures, preventive measures) from construction safety accident case data available on the public data portal. It also seeks to provide fundamental insights contributing to the establishment of manuals for disaster prevention by identifying correlations between these topics. After pre-processing the input data, we used the LDA-based topic modeling technique to derive the main topics. Consequently, we obtained five topics related to incident history, and four topics each related to post-incident measures and preventive measures. Although no dominant patterns emerged from the topic pattern analysis, the study holds significance as it provides quantitative information on the follow-up actions related to the incident history, thereby suggesting practical implications for the establishment of a preventive decision-making system through the linkage between accident history and subsequent measures for reccurrence prevention.

Small Bowel Displacement System을 이용한 골반부 방사선조사에서 치료간 및 치료중 중심점 위치변동에 관한 분석 (Analysis of the Inter- and Intra-treatment Isocenter Deviations in Pelvic Radiotherapy With Small Bowel Displacement System)

  • 김문경;김대용;안용찬;허승재;임도훈;신경환;이규찬
    • Radiation Oncology Journal
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    • 제18권2호
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    • pp.114-119
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    • 2000
  • 목적 : small bowel displacement system (SBDS)을 이용한 골반부 방사선 치료시 치료간(intertreatment) 및 치료중(intratreatment) 중심점 위치변동의 편차를 분석하고, 그 결과를 임상적으로 이용하고자 하였다. 대상 및 방법 :자궁경부암 7명, 직장암 4명의 총 11명의 환자를 대상으로 electronic portal imaging device (EPID)를 이용하여 302건의 후-전문(postero-anterior port) 영상과 232건의 측문(lateral port) 영상을 얻었다. 모든 환자는 복와위 자세로 하복부에 SBDS를 사용하였다 방사선 조사야의 중심점과 배율을 맞추기 위하여 5개의 금속 기준점을 영상탐지판(image detection unit)에 부착시켰으며, EPID 영상의 골 기준점(bony landmark)을 정하여 모의치료시 촬영한 영상과 비교하여 정렬시킨 후 우-좌문, 두-미문, 그리고 후-전문 방향으로 중심점의 이동방향 및 거리를 분석하였다. 결과 : 우-좌문, 두-미문, 그리고 후-전문 방향으로의 치료간 중심점 이동의 평균값은 각각 1.2 mm ($\pm$1.6 mm), 1.0mm ($\pm$3.0 mm), 0.9 mm ($\pm$4.4 mm)이었으며, 각 방향으로의 5 mm 이상의 치료간 중심점 이동은 각각 2, 12, 24$\%$, 그리고 10 mm 이상의 치료간 중심점 이동은 각각 0, 0, 5$\%$이었다 큰 폭의 위치변동을 보인 방향은 후-전문 방향이었으며, 최대값은 11.5 mm 이었다. 우-좌문, 두-미문, 그리고 후-전문 방향으로의 치료중 중심점 이동의 평균값은 각각 0 mm ($\pm$0.9 mm), 0.1 mm ($\pm$1.9 mm), 0 mm ($\pm$1.6 mm)이었다. 5 mm 이상의 치료중 중심점 이동은 각각 0, 1 , 1$\%$이었다. 결론 : SBDS를 이용한 골반부 방사선 조사시 폭과 빈도가 가장 큰 치료간 위치변동은 후-전문 방향이므로, 측면의 후-전문 방향으로 추가적인 여유를 두는 것이 바람직할 것으로 판단된다.

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빅데이터를 통한 2010년과 2015년의 다이어트 실태 비교 및 분석 (Comparison and Analysis of Dieting Practices Using Big Data from 2010 and 2015)

  • 정은진;장은채
    • 대한지역사회영양학회지
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    • 제23권2호
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    • pp.128-136
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    • 2018
  • Objectives: The purpose of this study was to compare and analyse dieting practices and tendencies in 2010 and 2015 using big data. Methods: Keywords related to diet were collected from the portal site Naver from January 1, 2010 until December 31, 2010 for 2010 data and from January 1, 2015 until December 31, 2015 for 2015 data. Collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis, and seasonality analysis. Results: The results show that exercise had the highest frequency in simple frequency analysis in both years. However, weight reduction in 2010 and diet menu in 2015 appeared most frequently in N-gram analysis. In addition, keyword network analysis was categorized into three groups in 2010 (diet group, exercise group, and commercial weight control group) and four groups in 2015 (diet group, exercise group, commercial program for weight control group, and commercial food for weight control group). Analysis of seasonality showed that subjects' interests in diets increased steadily from February to July, although subjects were most interested in diets in July in both years. Conclusions: In this study, the number of data in 2015 steadily increased compared with 2010, and diet grouping could be further subdivided. In addition, it can be confirmed that a similar pattern appeared over a one-year cycle in 2010 and 2015. Therefore, dietary method is reflected in society, and it changes according to trends.

빅데이터를 활용한 메타패션 의미구조 분석에 관한 연구: '메타버스' + '패션디자인' 키워드를 중심으로 (Analysis of Meta Fashion Meaning Structure using Big Data: Focusing on the keywords 'Metaverse' + 'Fashion design')

  • 김지연;이신영
    • 한국의류산업학회지
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    • 제25권5호
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    • pp.549-559
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    • 2023
  • Along with the transition to the fourth industrial revolution, the possibility of metaverse-based innovation in the fashion field has been confirmed, and various applications are being sought. Therefore, this study performs meaning structure analysis and discusses the prospects of meta fashion using big data. From 2020 to 2022, data including the keyword "metaverse + fashion design" were collected from portal sites (Naver, Daum, and Google), and the results of keyword frequency, N-gram, and TF-IDF analyses were derived using text mining. Furthermore, network visualization and CONCOR analysis were performed using Ucinet 6 to understand the interconnected structure between keywords and their essential meanings. The results were as follows: The main keywords appeared in the following order: fashion, metaverse, design, 3D, platform, apparel, and virtual. In the N-gram analysis, the density between fashion and metaverse words was high, and in the TF-IDF analysis results, the importance of content- and technology-related words such as 3D, apparel, platform, NFT, education, AI, avatar, MCM, and meta-fashion was confirmed. Through network visualization and CONCOR analysis using Ucinet 6, three cluster results were derived from the top emerging words: "metaverse fashion design and industry," "metaverse fashion design and education," and "metaverse fashion design platform." CONCOR analysis was also used to derive differentiated analysis results for middle and lower words. The results of this study provide useful information to strengthen competitiveness in the field of metaverse fashion design.

유아복 소비가치 척도에 대한 구성타당성과 기준관련 타당성 연구 (Construct validity and criterion-related validity of consumption value in preschooler clothing)

  • 이주연;이영주
    • 복식문화연구
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    • 제21권3호
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    • pp.413-430
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    • 2013
  • Despite the recent sharp growth in the baby product market, previous studies on preschooler clothing have centered primarily on surveys regarding body size and consumer buying behavior, with little emphasis given to consumption value in preschooler clothing. This study aimed to assess the feasibility of using standards of consumption value to examine the behavior of those who buy preschooler clothing. The research subjects were mothers of preschoolers aged 1 to 6 years. They were asked to complete a questionnaire online at major parenting blogs found on portal sites (n=346). The questionnaire contained 41 questions based on a literature review, and 25 questions having convergent and discriminant validity were analyzed. By conducting a regression analysis of standards of consumption value in preschooler clothing and their perceived value, the feasibility of the standards was assessed. The results showed that consumption value in preschooler clothing was associated with 21 questions and 8 factors. The factors measuring consumption value included vicarious satisfaction, social value, functional value, convenience, financial value, aesthetic value, uniqueness, and circumstantial value. This study is significant in that it expands the scope of research on preschooler clothing, lays the groundwork for measuring consumption value in preschooler clothing, and predicts consumer behaviors by identifying the consumption value among mothers of preschoolers.

황렬해독탕에 대한 국내의 연구 동향 분석 (An Analysis of Research Trend of Hwangryunhaedok-tang Published in Korea)

  • 허건;오민석
    • 혜화의학회지
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    • 제28권2호
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    • pp.20-28
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    • 2019
  • Objectives : Hwangryunhaedok-tang. a traditional Korean herbal medicine, has been widely used for the treatment. This study is purposed to analyze the research trend of Hwangryunhaedok-tang in Korea for developing further research plan. Methods : A search of Korean research database( OASIS, RISS, Korean traditional knowledge portal, NDSL) was conducted to find studies for Hwangryunhaedok-tang. We analyzed studies by publish date, speciality, study method, and field of study. Result : 1. 2.65 papers were published annually on average. 2. After analyzing for the speciality of the journal, most of the papers were published in Traditional Korean Medicine. 3. After analyzing for the study method, in vivo was 33.96%, in vitro was 32.08% and quantitative inspection was 13.21% 4. After analyzing for the subject of the studies, beneficial effect was 81.13%, quantitative and qualitative analysis was 13.21%, toxicity was 3.77% 5. Papers on beneficial effect were classified by the type of diseases. Hwangryunhaedok-tang was most used in skin disease. Conclusions : Hwangryunhaedok-tang is effective in various category of diseases. This study will be useful to future researchers and clinicians to conduct a study on Hwangryunhaedok-tang.

A Study on the Perception of Corona19 Period Play Culture Based on Big Data Analysis

  • Jung, Seon-Jin
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권4호
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    • pp.196-203
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    • 2020
  • In this study, we tried to explore the actual direction for the play culture by looking at the social perception of the change of play culture due to the Corona 19 using big data analysis. For this research, we used Textom, a website specializing in collecting big data, and collected 10,216 data using keywords of "Corona + Play," "Play Culture" and "Leisure" from January 19, 2020 to September 30, 2020, when the first confirmed case of Corona 19 occurred in Korea on various portal sites at home and abroad. The results of this paper showed that the social perception of the play culture in Corona 19 was 51.61%, not much different from the negative image of 48.15%. It is necessary to develop a play culture program that can identify people's various desires and emotions under the premise that situations similar to the current With Corona period and Corona19 can occur at any time, and find mental and physical stability and vitality in unstable situations. In addition, the results of this study can be used as basic data for the development of play culture policies or programs, with the significance that this study helped vitalize big data utilization research in the fields of play, leisure, and culture.

공공데이터 포털을 통해 개방된 도서관 관련 데이터 분석 (A Study about Library-Related Open Data through Public Data Portals)

  • 조재인
    • 한국비블리아학회지
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    • 제29권2호
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    • pp.35-56
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    • 2018
  • 본 연구는 공공데이터 포털을 통해 개방된 도서관 관련 데이터의 현황을 다각도로 살펴보며, 공개된 데이터의 수준과 공개 주체에 따라 데이터의 활용 정도에 어떠한 차이가 나타나는지 분석하였다. 또한 데이터의 공개주체를 지방자치단체와 국가 및 공공기관으로 구분하여 데이터에 부여된 키워드를 활용해 PathFinder Network 분석을 수행함으로써 양 주체가 공개한 데이터의 주제 군집과 중심성에 어떠한 차이를 보이는지 분석하였다. 그 결과 국가 및 공공기관이 공개한 데이터로부터는 연구자료 등을 중심으로 4개의 주제군집이, 지방자치단체가 공개한 데이터로부터는 소장자료, 평생교육프로그램 등을 중심으로 8개의 주제 군집이 형성되었으며, 국가 및 공공기관이 공개한 데이터가 학교 및 공공도서관의 단순 현황을 주로 공개하고 있는 지방자치단체 공개 데이터보다 높은 활용도를 나타냈다.