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Ekanayake, Chandima,Gubanski, Stanislaw M.,Fernando, M.A.R.M. The Korean Institute of Electrical Engineers 2004 KIEE International Transactions on Electrophysics Vol.4C No.3
Frequency Domain Spectroscopy (FDS) measurements were performed on pressboard samples containing different moisture contents and on insulation system of power transformers. The results were used for evaluating sensitivity of the so-called X - Y model, which is applied for estimating moisture content in transformer insulation using the results of FDS measurements. Based on the observations of this analysis a simplified model, called X model, was introduced in which the presence of spacers in transformer insulation has been neglected. Finally, reliability of the X model was assessed by comparing estimates of moisture contents based on FDS measurements on field installed power transformers with moisture contents obtained from chemical analyses of their oil samples.
Smartphone-based personalized blood glucose prediction
Juan Li,Chandima Fernando 한국통신학회 2016 ICT Express Vol.2 No.4
Effective blood glucose control is essential for patients with diabetes. However, individual patients may not be able to monitor their blood glucose level regularly because of all manner of real-life interference. In this paper, we propose a personalized diabetes prediction mechanism that leverages smartphone-collected patient data and population data to drive personalized prediction. Unlike existing predictive models, this model utilizes pooled population data and captures patient similarities, and eventually produces a personalized blood glucose prediction for an individual. We have implemented the proposed model as a mobile application and have performed extensive experiments to evaluate its performance. The experimental results demonstrate that the proposed prediction mechanism can improve the prediction accuracy and remedy the problem of sparse data in the existing approaches.
A unique Lepidopteran assemblage in primary forest understory of central Sri Lanka
Caitlin Slater,Carl Tolley,Chandima Fernando,Michael A. Weston 국립중앙과학관 2019 Journal of Asia-Pacific Biodiversity Vol.12 No.2
Sri Lankan Lepidopterans are diverse and increasingly inhabit areas undergoing rapid anthropogenic change. We examined butterfly assemblages in five habitat types in central Sri Lanka, an area with a mosaic of habitat types (primary and secondary forest, wetland margins, shrubland, and home gardens). Sixteen quadrats in each habitat type were repeat-sampled. Quadrats differed in proportional cover of different microhabitats and in microclimate. Butterfly abundance and richness were lowest in primary forests (PFs). Assemblages of butterflies were generally similar across all habitat types with the exception of PFs, which featured a unique assemblage. This study reinforces the importance of PFs in butterfly conservation as it harbors a unique and relatively low-abundance assemblage of species.
Danah Harbour,Ella Henson,Chelsea Boers,Darcy Truman,Chandima Fernando,Patrick J. Guay,Michael A. Weston 한국응용곤충학회 2019 Journal of Asia-Pacific Entomology Vol.22 No.1
Escape behaviour is a critical component of invertebrate life history but is poorly studied. Flight initiation distance (FID) indexes escape propensity, and is wellstudied in vertebrates but is entirely unstudied in Lepidopterans, despite their obvious escape behaviour. Here we test two general principles regarding FID as derived from studies of vertebrates to examine if they apply to Sri Lankan butterflies: 1) that FID is a species-specific trait and 2) that FID increases with Starting Distance, the distance at which the experimenter begins an approach. We collected 295 FIDs from 17 species and find that 1) FIDs are a tractable way of indexing butterfly escape and 2) both the general principles tested apply to butterfly escape. We also present FIDs of these species to encourage further data collection and comparative analysis of butterfly escape.