• 제목/요약/키워드: Data Comparison

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소셜 빅 데이터를 이용한 여행사 비교 분석에 관한 연구 (A Study on the Comparison Analysis of Travel Agencies using Social Big Data)

  • 송은지;공효순
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2015년도 춘계학술대회
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    • pp.771-772
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    • 2015
  • 소셜미디어 상 고객들이 쏟아내는 말을 실시간으로 분석, 조사하는 방법으로 버즈 모니터링 이라는 시스템을 이용하여 웹상의 다양한 정보를 자동으로 검색하고 수집하고 있다. 본 논문에서는 여행사에 관해 소셜 미디어 상의 빅 데이터를 이용하여 보다 정확하고 효율적인 정보 수집과 분석이 가능하도록 하기위한 분석 모델을 제안하고 실제 국내 여행사에 관해 비교 분석한다. 먼저 여행사별 인지도,이미지와 선호도 분석을 하고 관광관련 상품과 서비스에 대한 분석과 함께 소비자 분석으로서 관광의 목적, 동행인 등 소비자의 생활패턴에 대한 분석을 한다. 또한 여행사 관련 영향력자 경향을 트위터 상에서 살펴본 결과 해당 여행사 이용경험자와 관련 뉴스를 제공하는 언론, 이벤트에 관심 있는 사용자들로 유형화 할 수 있었다.

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사각덕트내의 유체유동에 관한 수치계산과 실험의 비교 (The comparison between Numerical Computation and Experiment on Fluid Elow in Rectangular Duct)

  • 윤영환;배택희;박원구
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2002년도 학술대회지
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    • pp.71-74
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    • 2002
  • Fluid flow in a rectangular duct system are measured by W laser doppler velocity meter, and also computed by commercial software of STAR-CD for comparison between then First, for a rectangular duct with 90 degree metered elbow, the fluid flow with Reynolds numbs's of 1,508 is predicted by assumption of both laminar and turbulent models. But, even though the Reynolds number is less than 2,300-3,000, the computation by turbulent model is close to the experimental data. Moeover, the computation by turbulent model for Reynolds number of 11,751 also predicts the experimental data satisfactorily. Second, for a rectangular duct with two branch ducts, the ratios between flow rates in the two branches are invariant to Reynolds number according to both of numerical and experimental results.

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Determination and application of the weights for landslide susceptibility mapping using an artificial neural network

  • Lee, Moung-Jin;Won, Joong-Sun;Yu, Young-Tae
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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    • pp.71-76
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    • 2003
  • The purpose of this study is the development, application and assessment of probability and artificial neural network methods for assessing landslide susceptibility in a chosen study area. As the basic analysis tool, a Geographic Information System (GIS) was used for spatial data management. A probability method was used for calculating the rating of the relative importance of each factor class to landslide occurrence, For calculating the weight of the relative importance of each factor to landslide occurrence, an artificial neural network method was developed. Using these methods, the landslide susceptibility index was calculated using the rating and weight, and a landslide susceptibility map was produced using the index. The results of the landslide susceptibility analysis, with and without weights, were confirmed from comparison with the landslide location data. The comparison result with weighting was better than the results without weighting. The calculated weight and rating can be used to landslide susceptibility mapping.

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Nonparametric Bayesian Multiple Comparisons for Geometric Populations

  • Ali, M. Masoom;Cho, J.S.;Begum, Munni
    • Journal of the Korean Data and Information Science Society
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    • 제16권4호
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    • pp.1129-1140
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    • 2005
  • A nonparametric Bayesian method for calculating posterior probabilities of the multiple comparison problem on the parameters of several Geometric populations is presented. Bayesian multiple comparisons under two different prior/ likelihood combinations was studied by Gopalan and Berry(1998) using Dirichlet process priors. In this paper, we followed the same approach to calculate posterior probabilities for various hypotheses in a statistical experiment with a partition on the parameter space induced by equality and inequality relationships on the parameters of several geometric populations. This also leads to a simple method for obtaining pairwise comparisons of probability of successes. Gibbs sampling technique was used to evaluate the posterior probabilities of all possible hypotheses that are analytically intractable. A numerical example is given to illustrate the procedure.

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한미간의 마케팅정보시스템 운영실태 비교 (A comparison between Korea and the U.S. firms in operating marketing information systems)

  • 오재인;오경상
    • 경영과학
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    • 제13권3호
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    • pp.129-141
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    • 1996
  • The introduction of globalization has lead the marketing information systems(MkIS) to become a competitive weapon, since the MkIS are an important vehicle in the global market that supports firms in making decisions on the management of marketing-related activities. Yet there has been little investigation in Korea on the operation of MkIS. This paper replicates the research conducted in the U.S. on the operation of MkIS in the Korean environment, after a model on this operation is developed. Data were collected from firms in Korea, and research findings based on the analysis of these data were compared with those from the U.S. research. Based on this comparison, this paper suggestes a better way to address the problems Korean firms have and generates directions on future research in the operation of MkIS.

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A Comparison of Seasonal Linear Models and Seasonal ARIMA Models for Forecasting Intra-Day Call Arrivals

  • Kim, Myung-Suk
    • Communications for Statistical Applications and Methods
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    • 제18권2호
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    • pp.237-244
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    • 2011
  • In call forecasting literature, both the seasonal autoregressive integrated moving average(ARIMA) type models and seasonal linear models have been popularly suggested as competing models. However, their parallel comparison for the forecasting accuracy was not strictly investigated before. This study evaluates the accuracy of both the seasonal linear models and the seasonal ARIMA-type models when predicting intra-day call arrival rates using both real and simulated data. The seasonal linear models outperform the seasonal ARIMA-type models in both one-day-ahead and one-week-ahead call forecasting in our empirical study.

송전선로 고장과 LPATS 낙뢰자료 DB와의 비교분석에 관한 연구 (A study on the comparison/analysis between the fault of transmission line and the LPATS lightning data)

  • 우정욱;심응보;김정부;이건웅;민병욱
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 E
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    • pp.2073-2075
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    • 1999
  • To study the basic research of the lightning parameter for power system operation. LPATS(Lightning Position and Tracking System) has been introduced since 1995 in KEPCO. We have developed the lightning parameter analysis program. We obtained the various statistical distribution of lightning current parameters from 1995 by this program. In this paper, we describe the results on the comparison/analysis between the fault of transmission line and the LPATS lightning data.

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A comparative study in Bayesian semiparametric approach to small area estimation

  • Heo, Simyoung;Kim, Dal Ho
    • Journal of the Korean Data and Information Science Society
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    • 제27권5호
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    • pp.1433-1441
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    • 2016
  • Small area model provides reliable and accurate estimations when the sample size is not sufficient. Our dataset has an inherent nonlinear pattern which signicantly affects our inference. In this case, we could consider semiparametric models such as truncated polynomial basis function and radial basis function. In this paper, we study four Bayesian semiparametric models for small areas to handle this point. Four small area models are based on two kinds of basis function and different knots positions. To evaluate the different estimates, four comparison measurements have been employed as criteria. In these comparison measurements, the truncated polynomial basis function with equal quantile knots has shown the best result. In Bayesian calculation, we use Gibbs sampler to solve the numerical problems.

간이 에너지 계산법과 동적 열부하 계산법의 비교 연구 (A Comparison of the ASHRAE Simplified Energy Analysis Procedure with the HASP/ACLD Results)

  • 김두천;최진희;원영수
    • 설비공학논문집
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    • 제1권3호
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    • pp.210-218
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    • 1989
  • The ASHRAE Simplified Energy Analysis Procedure using the Modified Bin Method(SEAP) is compared with the hourly calculation program, HASP/ACLD. The HASP/ACLD model office building with VAV system in Seoul is used as the basis for comparison. And the parameters considered are glass to wall area ratio and internal heat gains. The results show that SEAP predictions of annual energy use agree with HASP/ACLD predictions within 5% deviation. But there is a large difference in cooling and heating energy as glass to wall area ratio is varied. The SEAP cooling energy is 65-85% and the heating energy is 104-160% of the HASP/ACLD results. This is probably due to the solar heat gain data. the data related to the SEAP must be developed prior to use it.

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액체로켓엔진 가스발생기 연소시험에서 동압 데이터 비교 (Comparison of Dynamic Pressure Data in Hot-firing Tests of Liquid Rocket Engine Gas Generators)

  • 주성민;김현준;임병직;김종규;최환석
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2017년도 제48회 춘계학술대회논문집
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    • pp.1088-1092
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    • 2017
  • 본 논문에서는 액체로켓엔진 가스발생기 연소시험에서 서로 다른 동압 센서를 통해 측정한 동압 결과를 비교하였다. 열 충격에 의한 영향으로 서로 다른 방식 및 제조사의 센서는 시간에 따른 동압 차이가 발생함을 확인하였다. 하지만, 연소불안정 분석에 있어 중요한 인자인 특성주파수와 RMS 값에 있어서는 센서에 따른 차이가 미미함을 확인하였다.

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