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Browsing by Author "Liyanarachchi, N."

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    Speed detection and speed violation prevention in expressways: A computer vision and Internet of Things (IoT) based approach.
    (International Research Symposium on Pure and Applied Sciences, 2017 Faculty of Science, University of Kelaniya, Sri Lanka., 2017) Watawana, B.; Liyanarachchi, N.
    The implementation of expressways into Sri Lankan road network has significantly helped to reduce travel times between destinations. Although speed limits are strictly enforced within the expressways, frequent occurrences of accidents are observed due to excessive speed. Hence, speed detection and appropriate actions to dissuade excessive speeding should be carried out. However, presently speed detection in the local expressways require significant human involvement. The current system requires a policeman using a handheld radar based speed gun to detect the speed of the incoming vehicle and notify through radio to an officer stationed at the expressway exits. This system is constrained by several factors, including human involvement and lack of vehicle identification system at the exits or interchange posts. Technology has evolved especially in the past decade where stand-alone units provide the license plate number and vehicle speed, which is conveyed to the police highway patrol such as Gatso and Truvelo. Yet these systems are costly, and implementing in a Sri Lankan context is problematic. The need of a simple, smart and low cost solution is highlighted. The study is expected to develop a stand-alone automated system to detect speed, process the data and communicate required information to the relevant parties.
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    Surveillance of rotavirus in three hospital settings of Sri Lanka 2007 - 2010
    (Sri Lanka College of Microbiologists, 2014) Chandrasena, T.G.A.N.; Rajindrajith, S.; Gunawardena, N.K.; Liyanarachchi, N.; Abeysekera, C.K.; Matsomoto, T.; Yahiro, T.; Nishizono, A.; Ahmed, K.
    INTRODUCTION: Rotavirus is an important aetiological agent of childhood diarrhoeas in Sri Lanka. OBJECTIVES: To study the rotavirus epidemiology and genotypic diversity of cases hospitalized in three geographical locations of Sri Lanka, Ragama, Galle and Kandy. MATERIALS AND METHODS: The study was approved by the ethical review board of the Sri Lanka College of Paediatricians. Stool samples were collected from children < 5 years, hospitalized at the Teaching Hospitals at Ragama (RTH) (November 2007 - October 2010) Galle (GTH) and Kandy (KTH) (mid and late 2008) respectively for acute gastroenteritis. Rotavirus was detected using EIA kit, Rotaclone®. A subset of rotavirus positive samples was genotyped by reverse-transcription(Rt)-PCR and polyacrylamide-gel-electrophoresis (PAGE). RESULTS: Stool samples of 1245 children (69.2%, 23.3% and 7.3% from RTH, GTH and KTH respectively) were screened for rotavirus. Of them, 476 were positive by EIA. The overall rate of prevalence of rotavirus infection was 38.2%. The median age of infection ranged from 13-20 months. Rotavirus genotyping was done on 375 (78.8 %) samples. G1 [P8] was the overall dominant strain (44.8%) followed by G9[P8] (10.1%), G2[P4] (5.3%), G3[P8] (3.2%), G1[P6] (2.1%), G12[P6] (1.3%), G2[P8] (1.06%) and 0.26% of G4[P6], G4[P4] and G4[P8]. The G or P serotype was untypable in 25.6% of samples and 5.6% were of mixed-G and P type. PAGE yeilded 25 electropherotypes (E1-E12 and E16-E29), with E5 and E20 causing 19 and 14 percent of infections respectively. The electropherotype could not be determined in 26%. CONCLUSIONS: Rotavirus continues to be an important cause of childhood diarrhoreas in Sri Lanka. Strain G1P8 predominated in all areas during the surveillance period with a notable percentage of mixed-G and P infections. Multiple E types identified indicate increasing strain diversity

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