• Title/Summary/Keyword: R package

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Measuring the Factor Influencing Tourist Preferences for Leaf Mustard Kimchi (관광객의 갓김치에 대한 선호도에 미치는 영향요인 평가)

  • Jeong, Hang-Jin;Kang, Jong-Heon
    • Journal of the Korean Society of Food Culture
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    • v.21 no.4
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    • pp.414-419
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    • 2006
  • The purpose of this study was to measure the factor influencing tourist preferences for leaf mustard iimchi. Among 250 questionnaires, 230 questionnaires were utilized for the analysis. Frequencies, conjoint model, max. utility model, BTL model, Logit model, K-means cluster analysis, and one-way ANOVA analysis were used for this study. The findings from this study were as follows. First, the Pearson's R and Kendall's tau statistics showed that the model fitted the data well. Second, it was found that total respondents and three clusters regarded taste and price as the very important factor. Third, it was found that the first cluster most preferred product with light red color, plain package, and mild taste sold at a cheap price in factory. The second cluster most preferred product with light red color, plain package, and moderately pungent taste sold at a expensive price in factory. The third cluster most preferred product with dark red color, shaped package, and highly pungent taste sold at a cheap price in factory. Fourth, it was found that the first cluster most preferred simulation product with light red color, shaped package, and mild taste sold at a cheap price in factory. The second cluster most preferred simulation product with light red color, shaped package, and moderately pungent taste sold at a cheap price in factory. The third clutter most preferred simulation product with dark red color, shaped package, and highly pungent taste sold at a cheap price in factory.

Wilting Phenomena and Vitamin C Content of Spinach during Consignment (시금치의 유통중 조위(凋萎)현상과 Vitamin C의 함량)

  • Kim, Sang-Ock
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.14 no.1
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    • pp.23-26
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    • 1985
  • This experiment was investigated on weight loss, vitamin C content, and its relationship to evaluate visual quality during spinach consignment from a viewpoint of consumer. Vitamin C content of spinach leaf, 35.38mg% fresh weight, was 3 times higher than those of stem. Under $20^{\circ}C$ of spinach consignment, the spinach was edible in a half day of unpackage and 3 days with package. However, under $10^{\circ}C$ of spinach consignment, it was good through 6-7 days with unpackged and 10 days with package. Weight and vitamin C content of stem and leaf in spinach during consignment were closely related to the temperature condition at $20^{\circ}C$ than at $10^{\circ}C$ in both of package and unpackage. The regression equation of relationship between loss(X) and vitamin C loss(Y) of spinach, during consignment with Package and unpackage at $20^{\circ}C$ and $10^{\circ}C$ was Y=21.30X+40.32(r=0.69.)

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Effects of Package Environment on Keeping Quality during Storage in Cabbage and Broccoli (Cabbage 와 Broccoli 의 저장중 품질유지에 미치는 포장환경의 영향)

  • ;R.C.Lindsay
    • Food Science and Preservation
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    • v.7 no.1
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    • pp.33-37
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    • 2000
  • Effects on keeping quality according to the different package environment in cabbage and brccoli were studied. Opened 2 mil LDPE (low density polyethylene) sealed 4 mil LDPE and BA(barrier polyethylene) were used as package films. Weight loss was markedly in opened 2 mil LDPE in cabbage and broccoli as 6 and 28%, respectively. Carbon dioxide was higher in seal-packaging cabbage and broccoli with BA held at 4 $^{\circ}C$ was above 15 and 31% within 15 days, respectively, while oxygen content was depleted to 2% or less after 10 days. The main difference between volatile sulfur-containing compounds produced from cabbage and broccoli were the relative quantities and rates of production of hydrogen sulfide, carbonyl sulfide, methanethiol and dimethyl disulfide in opened 2 mil LDPE , sealed 4 mil LDPE and barrier bags during storage.

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A Study of Factors Influencing the Price of ERP System in its Implementation (ERP 시스템 가격산정에 영향을 주는 변수에 관한 연구)

  • 이재정
    • The Journal of Information Systems
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    • v.12 no.1
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    • pp.1-17
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    • 2003
  • ERP is a topic of currency in MIS circle. Numerous organization have developed their information systems using many kinds of ERP packages such as Oracle, SAP R/3, uniERP, etc. However, the pricing methodology of ERP systems is not yet established in a proper way. This paper attempts to investigate factors influencing the price of ERP system. Thirty eight ERP consulting firms participated in this research project. Based on the data from ERP consulting firms, price of ERP systems basically consist of package cost, consulting fee, and customizing expense. The results of this research project are finding factors affecting above three parts that consist price of ERP system. This paper found that factors influencing package price are number of modules, number of users, the degree of package reliability. The factors affecting consulting fee are the degree of project specialty, level of consultants. Finally the factors influencing customizing cost are the degree of project difficulty, project time.

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Preparation of Tomographic Maps Based on the R Package (R 패키지를 이용한 토모그라피 지도 제작)

  • Chung, Tae-Woong;Lees, Jonathan M.
    • Geophysics and Geophysical Exploration
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    • v.11 no.4
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    • pp.373-378
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    • 2008
  • Being widely used for preparation of geographic maps in the field of earth sciences, Generic Mapping Tools (GMT) is difficult to understand the contents for user, and not working well with Microsoft (MS) Window PC. By utilizing R package, 'GEOmap', we can do mapping work at MS window PC with commands easier than those of GMT. In addition, the R commands offer interactive help. Here we introduce brief feature of 'GEOmap', and illustrate the procedure for preparing tomographic maps with an example.

R&D Perspective Social Issue Packaging using Text Analysis

  • Wong, William Xiu Shun;Kim, Namgyu
    • Journal of Information Technology Services
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    • v.15 no.3
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    • pp.71-95
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    • 2016
  • In recent years, text mining has been used to extract meaningful insights from the large volume of unstructured text data sets of various domains. As one of the most representative text mining applications, topic modeling has been widely used to extract main topics in the form of a set of keywords extracted from a large collection of documents. In general, topic modeling is performed according to the weighted frequency of words in a document corpus. However, general topic modeling cannot discover the relation between documents if the documents share only a few terms, although the documents are in fact strongly related from a particular perspective. For instance, a document about "sexual offense" and another document about "silver industry for aged persons" might not be classified into the same topic because they may not share many key terms. However, these two documents can be strongly related from the R&D perspective because some technologies, such as "RF Tag," "CCTV," and "Heart Rate Sensor," are core components of both "sexual offense" and "silver industry." Thus, in this study, we attempted to discover the differences between the results of general topic modeling and R&D perspective topic modeling. Furthermore, we package social issues from the R&D perspective and present a prototype system, which provides a package of news articles for each R&D issue. Finally, we analyze the quality of R&D perspective topic modeling and provide the results of inter- and intra-topic analysis.

Performance comparison for automatic forecasting functions in R (R에서 자동화 예측 함수에 대한 성능 비교)

  • Oh, Jiu;Seong, Byeongchan
    • The Korean Journal of Applied Statistics
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    • v.35 no.5
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    • pp.645-655
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    • 2022
  • In this paper, we investigate automatic functions for time series forecasting in R system and compare their performances. For the exponential smoothing models and ARIMA (autoregressive integrated moving average) models, we focus on the representative time series forecasting functions in R: forecast::ets(), forecast::auto.arima(), smooth::es() and smooth::auto.ssarima(). In order to compare their forecast performances, we use M3-Competiti on data consisting of 3,003 time series and adopt 3 accuracy measures. It is confirmed that each of the four automatic forecasting functions has strengths and weaknesses in the flexibility and convenience for time series modeling, forecasting accuracy, and execution time.

Accelerated Degradation Stress of High Power Phosphor Converted LED Package (형광체 변환 고출력 백색 LED 패키지의 가속 열화 스트레스)

  • Chan, Sung-Il;Jang, Joong-Soon
    • Journal of the Microelectronics and Packaging Society
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    • v.17 no.4
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    • pp.19-26
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    • 2010
  • We found that saturated water vapor pressure is the most dominant stress factor for the degradation phenomenon in the package for high-power phosphor-converted white light emitting diode (high power LED). Also, we proved that saturated water vapor pressure is effective acceleration stress of LED package degradation from an acceleration life test. Test conditions were $121^{\circ}C$, 100% R.H., and max. 168 h storage with and without 350 mA. The accelerating tests in both conditions cause optical power loss, reduction of spectrum intensity, device leakage current, and thermal resistance in the package. Also, dark brown color and pore induced by hygro-mechanical stress partially contribute to the degradation of LED package. From these results, we have known that the saturated water vapor pressure stress is adequate as the acceleration stress for shortening life test time of LED packages.

Development of Web Contents for Statistical Analysis Using Statistical Package and Active Server Page (통계패키지와 Active Server Page를 이용한 통계 분석 웹 컨텐츠 개발)

  • Kang, Tae-Gu;Lee, Jae-Kwan;Kim, Mi-Ah;Park, Chan-Keun;Heo, Tae-Young
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.1
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    • pp.109-114
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    • 2010
  • In this paper, we developed the web content of statistical analysis using statistical package and Active Server Page (ASP). A statistical package is very difficult to learn and use for non-statisticians, however, non-statisticians want to do analyze the data without learning statistical packages such as SAS, S-plus, and R. Therefore, we developed the web based statistical analysis contents using S-plus which is the popular statistical package and ASP. In real application, we developed the web content for various statistical analyses such as exploratory data analysis, analysis of variance, and time series on the web using water quality data. The developed statistical analysis web content is very useful for non-statisticians such as public service person and researcher. Consequently, combining a web based contents with a statistical package, the users can access the site quickly and analyze data easily.