• 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.

• The monthly packaging world
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• s.129
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• pp.146-147
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• 2004

• Water for future
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• v.53 no.7
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• pp.98-107
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• 2020

• The monthly packaging world
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• s.334
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• pp.86-89
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• 2021

• Journal of the Microelectronics and Packaging Society
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• v.21 no.3
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• pp.31-35
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• 2014

$TiO_2$-nanoparticle-dispersed silicone was applied to a LED package and the light efficiency of the LED package was evaluated in this study. The addition of $TiO_2$ nanoparticles in silicone increased refractive index, which improved the light efficiency of the LED package. The $TiO_2$ nanoparticles were fabricated by hydrothermal synthesis and were dispsersed by a vinyl silane coating treatment. After the silane treatment, the $TiO_2$ nanoparticles dispersed with diameters of 10~40 nm but rod-shape $TiO_2$ nanoparticles with lengths of 100 nm were also observed. The refractive index increased with the $TiO_2$ concentration in silicone, while the transmittance decreased with the $TiO_2$ concentration. The light efficient of the LED package with $TiO_2$+silicone encapsulant was higher than that of the LED package with no $TiO_2$ in silicone encapsulant.

• Journal of the Microelectronics and Packaging Society
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• v.25 no.1
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• pp.17-22
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• 2018

In this paper, the effects of solder joint aging on the reliability of embedded package solder joints were investigated using numerical analysis by finite element method. Solder joints were SAC305 with aging time 0, 60, 180 days. For reliability analysis, warpage of package and equivalent creep strain (ECS) and total strain energy density (TSED) of solder joint were analyzed. The analysis results show that the package warpage is decreased in the case of the embedded package compared to the non embedded package, and the reliability life of the solder joint is predicted to be high. Also, it was interpreted that the longer the aging time, the less the warpage of the embedded package, but the reliability life of the solder joint would be shortened.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1183-1191
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• 2016

According to WHO (World Health Organization), Korea ranked 1st place for TB mortality rate among OECD countries. In order to improve the situation, several administrative policies have been suggested and their efforts start showing some improvement. Meanwhile, those policies must be supported by solid scientific evidences by conducting appropriate statistical analyses. In particular, incidence and mortality rates of respiratory infectious disease such as TB must be analyzed considering their geographical characteristics. In this paper, we analyzed TB mortality rates in Korea from 2000 to 2011 using one of bayesian spatio-temporal models, which is implemented as R package (R-INLA).

• The Korean Journal of Applied Statistics
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• v.27 no.7
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• pp.1171-1185
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• 2014

Rhipe that integrates R and Hadoop environment, made it possible to process and analyze massive amounts of data using a distributed processing environment. In this paper, we implemented multiple regression analysis using Rhipe with various data sizes of actual data and simulated data. Experimental results for comparing the computing speeds of pseudo-distributed and fully-distributed modes for configuring Hadoop cluster, showed fully-distributed mode was more fast than pseudo-distributed mode and computing speeds of fully-distributed mode were faster as the number of data nodes increases. We also compared the performance of our Rhipe with stats and biglm packages available on bigmemory. The results showed that our Rhipe was more fast than other packages owing to paralleling processing with increasing the number of map tasks as the size of data increases.

• The Korean Journal of Applied Statistics
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• v.35 no.5
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• pp.579-591
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• 2022

Functional data is collected in various fields. It is often necessary to test whether there are differences among groups of functional data. In this case, it is not appropriate to explain using the point-wise ANOVA method, and we should present not the point-wise result but the integrated result. Various studies on functional data analysis of variance have been proposed, and recently implemented those methods in the package fdANOVA of R. In this paper, I first explain ANOVA and multivariate ANOVA, then I will introduce various methods of analysis of variance for univariate and multivariate functional data recently proposed. I also describe how to use the R package fdANOVA. This package is used to test equality of weekly temperatures in Seoul and Busan through univariate functional data ANOVA, and to test equality of multivariate functional data corresponding to handwritten images using multivariate function data ANOVA.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.1
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• pp.387-394
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• 2019

Recently, the importance of big data has been increased, and demand for data analysis for the big data is also increased. R language is developed for data analysis, and users are analyzing data by using algorithms of various statistics, machine learning and data mining packages in R language. However, it is difficult to develop an application using R. Early study proposed a method to call R script through another language such as PHP, Java, and so on. However, it is troublesome to write such a development method in addition to R in combination with other languages. In this study, we introduce how to write API using only R language without using another language by using Plumber package. We also propose a solution for security issues related with R API. If we use propose technology for developing web application, we can expect high productivity, easy of use, and easy of maintenance.