• Title/Summary/Keyword: KAIF

Search Result 28, Processing Time 0.02 seconds

RI국내정보

  • Korea Radioisotope Association
    • Radioisotope journal
    • /
    • v.1 no.1
    • /
    • pp.25-28
    • /
    • 1986
  • PDF

국제 협력 - 제34회 한·일 원자력산업 세미나

  • 한국원자력산업회의
    • Nuclear industry
    • /
    • v.37 no.10
    • /
    • pp.68-71
    • /
    • 2017
  • 한국원자력산업회의(KAIF)와 일본원자력산업협회(JAIF)가 공동으로 주최한 제34회 한 일 원자력산업세미나가 10월 16일(월)부터 10월 18일(수)까지 일본에서 개최되었다. 도쿄 Belle Salle 회의장에서 열린 이번 세미나에는 한국수력원자력, 한전KPS, 한전원자력연료, 한국원자력연구원 등 9개 기관에서 총 22명의 한국 측 대표단이 참석하여 논문 발표와 함께 후쿠시마 제1원전, 오나가와 원전을 방문하는 산업시찰 일정을 소화했다. 이번 세미나에서 행한 한국 측 대표단장(강재열 한국원자력산업회의 부회장)의 개회사와 폐회사를 게재한다.

  • PDF

Mean-VaR Portfolio: An Empirical Analysis of Price Forecasting of the Shanghai and Shenzhen Stock Markets

  • Liu, Ximei;Latif, Zahid;Xiong, Daoqi;Saddozai, Sehrish Khan;Wara, Kaif Ul
    • Journal of Information Processing Systems
    • /
    • v.15 no.5
    • /
    • pp.1201-1210
    • /
    • 2019
  • Stock price is characterized as being mutable, non-linear and stochastic. These key characteristics are known to have a direct influence on the stock markets globally. Given that the stock price data often contain both linear and non-linear patterns, no single model can be adequate in modelling and predicting time series data. The autoregressive integrated moving average (ARIMA) model cannot deal with non-linear relationships, however, it provides an accurate and effective way to process autocorrelation and non-stationary data in time series forecasting. On the other hand, the neural network provides an effective prediction of non-linear sequences. As a result, in this study, we used a hybrid ARIMA and neural network model to forecast the monthly closing price of the Shanghai composite index and Shenzhen component index.

The Nexus among Globalization, ICT and Economic Growth: An Empirical Analysis

  • Liu, Ximei;Latif, Zahid;Xiong, Daoqi;Yang, Mengke;Latif, Shahid;Wara, Kaif Ul
    • Journal of Information Processing Systems
    • /
    • v.17 no.6
    • /
    • pp.1044-1056
    • /
    • 2021
  • Globalization has integrated the world through interaction among countries and people with the help of information and telecommunication technology (ICT). The rapid mode of globalization has put a new life in ICT and economic sector. The key focus of this study is to examine the nexus among the globalization, ICT and economic growth. This study uses autoregressive distributed lag model (ARDL), vector error correction model (VECM) and econometric method spanning from 1990 to 2015. The empirical result highlights that the globalization stimulates economic growth of a country. In addition, both the internet penetration and the mobile phone usage contribute to the economic growth. Lastly, this article contributes important policy lessons on strengthening the economy by utilizing ICT with the rapid globalization.