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 - 5 of 5
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    PublicationOpen Access
    Social Media and Celebrity Endorsement: An analysis of Literature Review
    (researchgate.net, 2019-01) Samarasinghe, U. C
    The purpose of this chapter is to provide a thorough review in existent literature in relation to the social media and celebrity endorsement. In view of that, this paper examines key concepts pertaining to social media, celebrity endorsement, Studies based on Source Characteristics, which are Source Expertise, Source Trustworthiness, Source Familiarity, Source Similarity and Source Likability .Each concept discussed in light of what past literature has stated in terms of the definitions, conceptualization, key arguments, antecedents and consequences, to offer a complete depiction of the theme.
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    PublicationOpen Access
    Diagnosing autism in low‐income countries: Clinical record‐based analysis in Sri Lanka
    (Wily, 2022-06-16) Samarasinghe, P; Wickramarachchi, C; Peiris, H; Vance, P; Dahanayake, D. M. A.; Kulasekara, V; Nadeeshani, M
    Use of autism diagnosing standards in low-income countries (LICs) are restricted due to the high price and unavailability of trained health professionals. Furthermore, these standards are heavily skewed towards developed countries and LICs are underrepresented. Due to such constraints, many LICs use their own ways of assessing autism. This is the first retrospective study to analyze such local practices in Sri Lanka. The study was conducted at Ward 19B of Lady Ridgeway Hospital (LRH) using the clinical forms filled for diagnosing ASD. In this study, 356 records were analyzed, from which 79.5% were boys and the median age was 33 months. For each child, the clinical form together with the Childhood Autism Rating Scale (CARS) value were recorded. In this study, a Clinically Derived Autism Score (CDAS) is obtained from the clinical forms. Scatter plot and Pearson product moment correlation coefficient were used to benchmark CDAS with CARS, and it was found CDAS to be positively and moderately correlated with CARS. In identifying the significant variables, a logistic regression model was built based on clinically observed data and it evidenced that “Eye Contact,” “Interaction with Others,” “Pointing,” “Flapping of Hands,” “Request for Needs,” “Rotate Wheels,” and “Line up Things” variables as the most significant variables in diagnosing autism. Based on these significant predictors, the classification tree was built. The pruned tree depicts a set of rules, which could be used in similar clinical environments to screen for autism.
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    PublicationEmbargo
    An analysis of signalized intersections: Case of traffic light failure
    (IEEE, 2017-01-27) Mohamed Mafas, A. M; Amarasingha, N
    Traffic congestion due to failure of traffic lights is one of the problems in Colombo. To study traffic congestions due to failure of traffic lights, the traffic characteristics at intersections should be investigated. Capacity of the intersection is the main factor influenced for congestions. Data were collected at three intersections Malabe, Battaramulla and Rajagiriya and capacity of each identified. The capacity of each intersection was studied according to the Peak Hour Malabe and Rajagiriya had PHF of 0.95 and Battaramulla had the value of 0.91. Accordingly, the effective simple suggestions to manage these intersections may be introduction of telephone booth and police cabin to use the case of emergency.
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    PublicationEmbargo
    A techno-economic analysis for an integrated solar PV/T system for building applications
    (IEEE, 2016-12-16) Jayasuriya, W. J. A; Athukorala, A. U. C. D; Perera, A. T. D; Sirimanna, M. P. G; Attalage, R. A
    This study presents a techno-economic assessment about an integrated energy system based on hybrid Photovoltaic/Thermal (PV/T) panels to cater the energy demand for an apparel manufacturing application. The energy system consists of PV/T panels, H2 storage, electrolyzer, fuel cell and a latent heat thermal storage. A computational model (energy flow model combined with an economic model) is developed to assess the performance of the system. The computational model is simulated on hourly basis for a selected set of representative days of the year. The responses of energy storage and local grid according to demand variations of the application are evaluated subsequently considering the economic aspects. A novel dispatch strategy is introduced to charge and discharge energy storage based on the real time pricing of the grid. The response of local grid with the changes in system configuration is analyzed in the study. The potential of harvesting energy from integrated PV/T systems is emphasized by comparing the grid interaction with the in different climatic conditions is through case studies for different geographic locations. Results obtained from the study demonstrate the feasibility of integrated energy systems based on PV/T.
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    PublicationEmbargo
    Distributed precoding for MISO interference channels with channel mean feedback: Algorithms and analysis
    (IEEE, 2013-06-09) Ding, M; Tirkkonen, O; Berry, R. A; Ulukus, S
    This work focuses on the design and analysis of distributed stochastic precoding algorithms for multiple-input single-output (MISO) interference channels, where each transmitter is provided with mean information of its intended channel and that of interfering channels. Unlike in cases where exact channel gains are known as in most existing works, here generalrank precoding is required for optimality instead of the rank-one beamforming. An efficient algorithm for the distributed implementation of the Nash equilibrium precoding is first proposed. A sufficient condition for this algorithm to converge to the unique equilibrium is derived for the two-user case based on stochastic ordering, and is valid for a wide range of system parameters. To improve the sum-rate performance under medium to strong interference, a pricing-based algorithm is also provided and its convergence analyzed. The two algorithms are compared in terms of sum-rate and system overhead.