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Browsing by Author "Panditharathna, P M R A"

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    An Online Dashboard Platform for Weather Data of Major Sri Lankan Cities, and Global Climate Trends
    (IEEE, 2022-12-08) Pemasinghe, S; Dayarathna, D; Panditharathna, P M R A; Saparamadu, S; Wickramarathne, J
    Having easy access to vital weather information and latest climate trends can be of utmost use for a myriad of stakeholders specially for sectors such as fishing community and the agricultural sector. In this paper we have mainly focused on major Sri Lankan cities and providing a one-stop station for easily accessing useful weather information for all the major Sri Lankan cities scattered over 25 administrative districts via a series of dedicated dashboards for each of the cities. The parameters that are displayed in the dashboards have been decided via surveys covering major stakeholders. Steps have been taken to disseminate not only the weather information but also information about latest climate trends regarding stratospheric ozone concentration and global land and ocean temperature anomalies, and providing all this information in one place with a lot of potential to extend the breadth of information provided in terms of weather and climate changes in the years to come.
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    Question and Answering System For Investment Promotion Based on NLP
    (IEEE, 2023-04-03) Panditharathna, P M R A; Rajapaksha, U.U.S.
    Smart Question and Answering System for Investment Promotion is one such software/tool which will enable users (Investors, Investment Promotion Officers, Researchers, Professionals, etc.) to systematically ask the questionnaires related to the Investment and giving answers anytime anywhere. Preparing questions will be categorized according to investment sector based on Natural Processing Language. The levels would be, Knowledge, Comprehension, Application, Analysis, Synthesis and evaluation. Accordingly, Smart Question Generator will be modified to achieve the aspects related to each of the levels in investment promotion concept.Most likely these prepared questions would be of high standard predicting the questions as expected. This will also be a greater advantage for the investors to gain the potential out of this enabling them to invest money for projects and various information accordingly. Time consumption and communication gap is one such major issue which has not yet been practically attempted to. In order to overcome this issue, Smart Question and Answering will be a good assistant.

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