Browsing by Author "Rathnayake, R"

Filter results by typing the first few letters
Now showing 1 - 3 of 3
  • Thumbnail Image
    PublicationEmbargo
    Exploring the growth direction: the impact of exchange rate and purchasing managers index on economic growth in Sri Lanka
    (Springer, 2022-07-22) Jayathilaka, R; Rathnayake, R; Jayathilake, B; Dharmasena, T; Bodinayake, D; Kathriarachchi, D
    Numerous studies have been conducted, globally and locally, on the impact of the exchange rate on economic growth. In the local context, only a handful of research have investigated this area of study to determine the extent to which the Purchasing Managers’ Index infuence economic growth with the exchange rate, with limited research have been performed in Sri Lanka. This study explores the impact of exchange rate and Purchasing Managers’ Index on economic growth. Consequently, adopting an applied research methodology, the present study was based on secondary data published quarterly by the Central Bank of Sri Lanka reports and the Department of Census and Statistics of Sri Lanka from 2015 to 2021. The Vector autoregression model and Granger Causality Wald test were performed in this study. The empirical fndings highlighted that economic growth and Purchasing Managers’ Index have a signifcant negative impact on the economic growth, while the exchange rate had a signifcant positive impact on the economic growth. Furthermore, the exchange rate and the Purchasing Managers’ Index did not help to predict the exchange rate. The implications of the study demonstrate the relevance of the exchange rate and manufacturing Purchasing Managers’ Index as indicators of changes in overall economic growth activities at the macro level. The fndings will assist the Sri Lankan Government, policymakers, and foreign investors for efective decision making.
  • Thumbnail Image
    PublicationOpen Access
    Exploring the growth direction: the impact of exchange rate and purchasing managers index on economic growth in Sri Lanka
    (Springer Science and Business Media B.V., 2022-06-26) Jayathilaka, R; Rathnayake, R; Jayathilake, B; Dharmasena, T; Bodinayake, D; Kathriarachchi, D
    Numerous studies have been conducted, globally and locally, on the impact of the exchange rate on economic growth. In the local context, only a handful of research have investigated this area of study to determine the extent to which the Purchasing Managers’ Index infuence economic growth with the exchange rate, with limited research have been performed in Sri Lanka. This study explores the impact of exchange rate and Purchasing Managers’ Index on economic growth. Consequently, adopting an applied research methodology, the present study was based on secondary data published quarterly by the Central Bank of Sri Lanka reports and the Department of Census and Statistics of Sri Lanka from 2015 to 2021. The Vector autoregression model and Granger Causality Wald test were performed in this study. The empirical fndings highlighted that economic growth and Purchasing Managers’ Index have a signifcant negative impact on the economic growth, while the exchange rate had a signifcant positive impact on the economic growth. Furthermore, the exchange rate and the Purchasing Managers’ Index did not help to predict the exchange rate. The implications of the study demonstrate the relevance of the exchange rate and manufacturing Purchasing Managers’ Index as indicators of changes in overall economic growth activities at the macro level. The fndings will assist the Sri Lankan Government, policymakers, and foreign investors for efective decision making.
  • Thumbnail Image
    PublicationOpen Access
    Real-time Multi-spectral Iris Extraction in Diversified Eye Images Utilizing Convolutional Neural Networks
    (IEEE, 2024-07-03) Rathnayake, R; Madhushan, N; Jeeva, A; Darshani, D; Pathirana, I; Ghosh, S; Subasinghe, A; Silva, B N; Wijenayake, U
    Iris extraction has gained prominence due to its application versatility across many domains. However, achieving real-time iris extraction poses challenges due to several factors. Learning-based algorithms outperform non-learning-based iris extraction methods, delivering superior accuracy and performance. In response, this article proposes a Convolutional Neural Networks (CNN)-based, accurate direct iris extraction mechanism for a broad spectrum of eye images. The innovation of our approach lies in its proficiency with varied image types, including those where the iris is partially obscured by the eyelid. We enhance the method’s reliability by introducing a modified Circular Hough Transform (CHT). Extensive testing demonstrates our method’s excellent real-time performance across diverse image types, even under challenging conditions. These findings underscore the proposed method’s potential as a cost-effective and computationally efficient solution for real-time iris extraction in varied application domains.