• Title/Summary/Keyword: Distributed Data Analysis

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Developing a Hybrid Web-based GIS for Improving Access to Distributed Spatial Data and Spatial Modeling Tools (분산형 공간모델링을 구현하기 위한 하이브리드형 웹기반 GIS의 개발)

  • Jun, Byong-Woon;Park, Chan-Suk;Jo, Myung-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.2
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    • pp.61-72
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    • 2000
  • The maturation of the Web technology has reshaped the ways in which data are accessed, disseminated, and shared. Thanks to its popularity along with the advance of spatial information technology, four major changes have been further made in traditional geographic information systems (GIS) in relation to access to data, distribution of data, access to GIS functionality, and visualization of multimedia data. Although access to and dissemination of spatial data over the Web has in recent years been addressed in the literature, little research effort has addressed the issue of access to and processing of GIS analysis functions over the Web. This research explores the potential use of Web-based GIS in improving accessibility to distributed spatial data and spatial modeling tools. A prototype Web-based GIS developed in this study focuses on Web-based location-allocation modeling for spatial decision support, and employs a hybrid approach that uses the Arc/Info software as a GIS server and CGM viewer as a client-side plug-in. This research shows that Web-based GIS is a useful vehicle in conducting spatial modeling in the particular user community. In addition, this study represents the possibility of Web-based GIS in developing open spatial decision supporting systems.

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A Literature Survey and Application of System Analysis of the Liquid Rocket Engine (액체로켓엔진 시스템 해석 문헌 고찰 및 응용)

  • Cho, Won-Kook;Park, Soon-Young
    • 한국전산유체공학회:학술대회논문집
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    • 2008.03b
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    • pp.328-331
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    • 2008
  • A literature survey has been reported of the systems analysis on the liquid rocket engines. The analysis tools are mainly about the calculation of the rocket engine performance at the early days. However recent trend shows that researchers try to develop an integrated environment of distributed analysis tools for faster and cheaper analysis. This article presents the systems analysis results of the liquid rocket engine of gas generator cycle using the published mass estimating model. The specific impulse change for various thrust to weight ratio agrees qualitatively well with the published data.

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Parameter Sensitivity Analysis of VfloTM Model In Jungnang basin (중랑천 유역에서의 VfloTM 모형의 매개변수 민감도 분석)

  • Kim, Byung Sik;Kim, Bo Kyung;Kim, Hung Soo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.6B
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    • pp.503-512
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    • 2009
  • Watershed models, which are a tool for water cycle mechanism, are classified as the distributed model and the lumped model. Currently, the distributed models have been more widely used than lumped model for many researches and applications. The lumped model estimates the parameters in the conceptual and empirical sense, on the other hand, in the case of distributed model the first-guess value is estimated from the grid-based watershed characteristics and rainfall data. Therefore, the distributed model needs more detailed parameter adjustment in its calibration and also one should precisely understand the model parameters' characteristics and sensitivity. This study uses Jungnang basin as a study area and $Vflo^{TM}$ model, which is a physics-based distributed hydrologic model, is used to analyze its parameters' sensitivity. To begin with, 100 years frequency-design rainfall is derived from Huff's method for rainfall duration of 6 hours, then the discharge is simulated using the calibrated parameters of $Vflo^{TM}$ model. As a result, hydraulic conductivity and overland's roughness have an effect on runoff depth and peak discharge, respectively, while channel's roughness have influence on travel time and peak discharge.

The study of Beauty industry parts' current social insurance status and its analysis (미용업 분야의 사회보험 가입 실태 및 분석에 관한 연구 -헤어, 네일, 피부, 메이크업 분야를 중심으로-)

  • Choi, Seo-Yeon;Lee, Hyun-Jin
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.393-399
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    • 2013
  • The purposes of this study were to seek beauty industry parts' current social insurance admission status. To achieve the purposes, questionnaire was distributed to a total of 470 beauty artists and data were analyzed by statistical analysis. The result of study proposed that hairdresser showed the highest awareness and field of nail art showed the lowest awareness in social insurance admission status. Social insurance admission status shows that beauty artists in hair field had the most applicants of national pension, health insurance, workers' compensation insurance and beauty artists of skin field had the highest desire for social insurance application. This study hopes to be used as base line data of social insurance applicants' accurate status and application.

The role of family types clustered based on the intra system dynamics elements in explaining housewive's managerial behavior. (가족체계내 역동성요소에 근거한 가족유형에 따른 주부의 가정관리행동)

  • 이연숙
    • Journal of the Korean Home Economics Association
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    • v.34 no.4
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    • pp.295-308
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    • 1996
  • The purpose of this study was to explore how family types clustered based on the intra system dynamics explained housewive's managerial behavior. The data were collected by means of questionnaire distributed to a stratified sample of 544 housewives in Seoul who lived with husband and children. The questionnaires included FACES Ⅱ and Ⅲ, Communication Scale, Managerial behavior Scale and Life Satisfaction Scale. Frequency, percentile, mean, correlation, factor analysis, cluster analysis, One-way ANOVA with Scheffe test, and multiple regression were used to analyze the data. This study had resulted in three major findings. The first was that families were clustered by four types, named structed-separated family, flexible-connected family, change oriented emashed, and rigid-disengaed family. The second finding was that a difference in managerial behavior was found among four types of family. Housewives whose family were more connected each other and adapted more easily to changing situations showed better managerial behavior. The last one was that the managerial behavior of housewives was better explained by family types than socio-demographic variables. The recommendations for future research and the better ways to lead effective managerial behavior were suggested.

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Consumer Dissatisfaction Factors and Purchase Behaviors of Backpacks

  • Kim, Mi-Sook;Kim, So-Young
    • The International Journal of Costume Culture
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    • v.3 no.2
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    • pp.147-160
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    • 2000
  • The purposes of the present study were to investigate the factors of consumer dissatisfaction with backpacks and to examine if the levels of dissatisfaction with the factors differ significantly among the groups determined by demographic characteristics and purchase behaviors. The differences in the purchase behaviors of backpacks were also tested among the groups determined by demographic characteristics. Data collection was consisted of two pilot tests and the final test. The questionnaire was distributed to 40 students of universities in Seoul from July 1 to 13 in 2000 and 351 were usable. Data were analyzed by factor analysis, t-test, χ²analysis, MANOVA, ANAOVA, Duncan's multiple range tests using SPSS PC/sup +/ Program. Five factors were formulated : durability, ease-of-care/color fastness, dimensional stability, wearability and design. Subjects were most dissatisfied with the dimensional stability of backpacks. Different demographic characteristics and purchase behaviors resulted in significantly different levels of dissatisfaction with selected factors. Significant differences were also found in selected selection criteria and purchase behaviors among groups determined by some demographic characteristics.

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Remote Sensing Application for the Mineralized Zone in Ryeongnam Area Using LANDSAT TM Data (III) (LANDSAT TM 자료에 의한 영남지역의 광산대조사 및 응용방법 개발(III))

  • 姜必鍾;智光薰
    • Korean Journal of Remote Sensing
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    • v.5 no.2
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    • pp.91-107
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    • 1989
  • The purpose of this study is to investigate ways to use Landsat TM data for geological mapping and minieralized area detection. The study was carried out in Kyongju-Pohang area where toseki and bentonite mines are distributed. Rock samples of 18 granites, andesites, toseki, betonites, sedimentary rocks and altered rocks in the study area were collected for the study. The radiometric measurtment of the rock samples were carried out with a radiometer in the laboratory and in the field. The Landsat TM bands 2,3,4,5,7 were used for the measurement. The radiometric characteristics of the sample were mainly processed by the principal component analysis. It was found that the pricipal component analysis of the radiometric characteristics of geologic materials is very useful for the detection of the alteration of rocks and grade of mineral contents. It is expected that the technique can be used in the future for the efficient exploration of minerals in this country and abroad.

A Study on Improving the Automotive Parts Market and Quality Certification Parts System (자동차부품시장 및 품질인증부품제도 개선방안연구)

  • Sungyong Ha
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.2
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    • pp.49-55
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    • 2023
  • In this study, it was analyzed that it is necessary to clarify the quality certification parts system, to make certification codes mandatory for self-certification products that are normally distributed, and to conduct follow-up management so that prompt action and thorough management of test reports are necessary in case of defects. Big data-based data, the detailed number of parts replacement cases, parts cost by part group, share, average labor cost, calculated to analyze the detailed automobile parts industry, and automobile parts certification system and automobile parts market in major countries including Korea and Through the distribution structure analysis, improvement plans for the automobile quality certification parts system were derived.

Study of the Activation Plan for Rural Tourism of the Jeollabuk-do Using Big Data Analysis (빅데이터 분석을 통한 농촌관광 실태와 활성화 방안 연구: 전라북도를 중심으로)

  • Park, Ro Un;Lee, Ki Hoon
    • The Korean Journal of Community Living Science
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    • v.27 no.spc
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    • pp.665-679
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    • 2016
  • This study examined the main factors for activating rural tourism of Jeollabuk-do using big data analysis. The tourism big data was gathered from public open data sources and social network services (SNS), and the analysis tools, 'Opinion Mining', 'Text Mining', and 'Social Network Analysis(SNA)' were used. The opinion mining and text mining analysis identified the key local contents of the 14 areas of Jeollabuk-do and the evaluations of customers on rural tourism. Social network analysis detected the relationships between their contents and determined the importance of the contents. The results of this research showed that each location in Jeollabuk-do had their specific contents attracting visitors and the number of contents affected the scale of tourists. In addition, the number of visitors might be large when their tourism contents were strongly correlated with the other contents. Hence, strong connections among their contents are a point to activate rural tourism. Social network analysis divided the contents into several clusters and derived the eigenvector centralities of the content nodes implying the importance of them in the network. Tourism was active when the nodes at high value of the eigenvector centrality were distributed evenly in every cluster; however the results were contrary when the nodes were located in a few clusters. This study suggests an action plan to extend rural tourism that develop valuable contents and connect the content clusters properly.

An Estimation of VaR in Stock Markets Using Transformations

  • Yeo, In-Kwon;Jeong, Choo-Mi
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.567-580
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    • 2005
  • It is usually assumed that asset returns in the stock market are normally distributed. However, analyses of real data show that the distribution tends to be skewed and to have heavier tails than those of the normal distribution. In this paper, we investigate the method of estimating the value at risk(VaR) of stock returns. The VaR is computed by using the transformation and back-transformation method. The analysis of KOSPI and KOSDAQ data shows that the proposed estimation outperformed that under the normal assumption.

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