Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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Now showing 1 - 3 of 3
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    PublicationOpen Access
    Determining the influence of LPI, GCI and IR on FDI: A study on the Asia and Pacific Region
    (PLoS ONE, 2023-02-01) Wannisinghe, P; Jayakody, S; RathnayakeI, S; Wijayasinghe, D; Jayathilaka, R; Madhavika, N
    This study examines the impact of the Logistics Performance Index (LPI), Global Competitiveness Index (GCI) and Interest Rates (IR) on Foreign Direct Investment (FDI) for the Asia & Pacific region. The study is original as extensive evidence on the impact of LPI, GCI and IR on FDI in the Asia & Pacific region are examined initially. For the years 2007, 2010, 2012, 2014, 2016 and 2018, data was gathered for 33 nations in the Asia and Pacific area. Data analysis was performed using a panel regression model and multiple linear regression. The findings of the study reveal that LPI, GCI and IR are the three major factors influencing FDI inflows into the economies. However, the impact of these factors varies from country to country. The results concluded that LPI positively impacts FDI in India, Korea, Lebanon, and Oman. In contrast, a negative influence was observed for China, Kuwait and the Philippines. GCI positively impacts FDI in China, Korea, Kuwait, Pakistan and the Philippines, while a negative impact was observed in Armenia, India, Lebanon. Furthermore, IR has a positive impact on FDI flows in China and Egypt while in Korea and Lebanon, a negative impact was observed. Therefore, policymakers should focus more on improving the infrastructural requirements and macroeconomic factors while considering the other countrylevel variables that influence the FDI in flow.
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    PublicationOpen Access
    On the influence of topological characteristics on robustness of complex networks
    (Journal of Artificial Intelligence and Soft Computing Research, 2013) Kasthurirathna, D; Piraveenan, M; Thedchanamoorthy, G
    In this paper, we explore the relationship between the topological characteristics of a complex network and its robustness to sustained targeted attacks. Using synthesised scale-free, small-world and random networks, we look at a number of network measures, including assortativity, modularity, average path length, clustering coefficient, rich club profiles and scale-free exponent (where applicable) of a network, and how each of these influence the robustness of a network under targeted attacks. We use an established robustness coefficient to measure topological robustness, and consider sustained targeted attacks by order of node degree. With respect to scale-free networks, we show that assortativity, modularity and average path length have a positive correlation with network robustness, whereas clustering coefficient has a negative correlation. We did not find any correlation between scale-free exponent and robustness, or rich-club profiles and robustness. The robustness of small-world networks on the other hand, show substantial positive correlations with assortativity, modularity, clustering coefficient and average path length. In comparison, the robustness of Erdos-Renyi random networks did not have any significant correlation with any of the network properties considered. A significant observation is that high clustering decreases topological robustness in scale-free networks, yet it increases topological robustness in small-world networks. Our results highlight the importance of topological characteristics in influencing network robustness, and illustrate design strategies network designers can use to increase the robustness of scale-free and small-world networks under sustained targeted attacks.
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    PublicationEmbargo
    [PDF] from researchgate.net Roof orientation, roofing materials and roof surface colour: their influence on indoor thermal comfort in warm humid climates
    (Elsevier, 2003-03-01) Jayasinghe, M T R; Attalage, R. A; Jayawardena, A I
    The excessive heat transferred through the roof is one of the main causes of thermal discomfort in warm humid climatic conditions, which prevail in the tropical zone. Therefore, the selection of the most appropriate roof orientation and materials will be important for desirable thermal performance of passive houses. This study investigates the effect of the roof orientation, roofing materials, insulation and the surface colour of the roof on the maximum indoor temperature of a house located in a warm humid climatic region. It is shown with the aid of computer simulations that the roof orientation has no significant effect on a properly planned passive house. However, the use of appropriate materials and insulation could afford significant improvement, which could be further enhanced with the use of light colours for the roof surface.