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- 저자 : (Lakhwinder Kaur) (검색결과 3 건)
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Knowledge Spillovers across Developing Economies
Manjinder Kaur,Lakhwinder Singh 서울대학교 경제연구소 2017 Seoul journal of economics Vol.30 No.3
Globalization has dramatically transformed the world economy during the last quarter of 20th century and more vigorously in the first decade and a half in the 21st century. The most important characteristic of this phase of globalization is the rise of cross border flows of trade, investment, finance and technological knowledge. The rising investment in technological knowledge drives increasingly the long term growth process of the developing economies. It is increasingly realized that the level of trade and FDI across borders effects the knowledge generation and dissemination across countries. In this study an attempt is made to examine the relationship between economic growth measured through total factor productivity and knowledge economy variables such as domestic and foreign R&D covering the period of 2001-2012 across 19 developing countries. The regression analysis used in this study is based on panel data analysis using fixed effects models. The results of the study reveals that domestic knowledge stock, openness and the interaction terms of foreign R&D spillovers with openness, human capital and FDI have shown positive impact on total factor productivity of selected 19 developing economies. Further, the impact of foreign knowledge spillovers channeled through the imports of total goods and services are found to be positive and significant while it has been found negative in case of capital goods. An important policy implication that results from this analysis is that the higher level of human capital and international trade results into higher level of productivity growth via knowledge spillovers.
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Nirvair Neeru,Lakhwinder Kaur 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.9
This paper proposes a hybrid technique to remove impulse noise from digital images. In this approach the filtering operation is based on 33 neighborhood of pixel under consideration. During filtering, the properties of neighborhood are considered to check whether it is highly corrupted with noise, medium or only itself act as impulse. Based upon these properties a new hybrid technique has been proposed to process the pixel which further uses different schemes. The experiments have been performed at various noise levels on standard images as well as on real images. The results have been evaluated on the basis of metrics like Signal to noise ratio (SNR), Edge preservation index ( EPI), Structure similarity index measure (SSIM), Multi scale structure similarity index measure (MS-SSIM) and Peak signal to noise ratio ( PSNR). From the results, it has been observed that proposed technique has worked efficiently by preserving the edges and fine lines. To demonstrate the effectiveness of proposed technique, the results have also been compared with other well accepted denoising techniques
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