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FARS - 2021: Recent submissions

  • Character recognition focusing partially disfigured name boards 
    Lathagini, S.; Suthaharan, S. (Faculty of Applied Science, 2021-09)
    Name boards are the most popular visual aids on roadways, and they help with location identification. Damage to name boards can deface them in various cases. When name boards are severely damaged, it can be difficult for ...
  • Morphological changes in the major white matter fibre bundles: A 3D curve analysis 
    Lakshika, G. (Faculty of Applied Science, 2021-09-15)
    Diffusion magnetic resonance imaging (MRI) provides an exclusive window on brain anatomy that allows exploring the brain’s structural connectivity in vivo and non-invasive. Fibre tractography using diffusion MR imaging is ...
  • Automated classification of white blood cells from microscopic images 
    Sharcky, M.H.H. (Faculty of Applied Science, 2021-09-15)
    The application of computational techniques is rapidly growing, improving the quality of laboratory analysis and diagnosis. Visual analysis of peripheral blood samples is an important test in the procedures for diagnosing ...
  • Static Sinhala sign language recognition using MobileNet convolutional neural network 
    Jagodage, J.P.T.; Umesh, E.R. (Faculty of Applied Science, 2021-09-15)
    The deaf/dumb people cannot exchange their thoughts and ideas using words. They face many difficulties because of that in their day-to-day life. They use sign language to communicate with others-—no standard sign language ...
  • Efficient parallel algorithms using multi-core shared-memory architectures for graph measures 
    Sangeetha, M. (Faculty of Applied Science, 2021-09-15)
    Exploring the structural and functional properties of large real-world graphs, such as detecting community structure in large social networks and assessing connectivity of different brain regions in large brain graphs, are ...
  • Efficient feature selection and prediction for automobile dataset 
    Sobana, S.; Yogarajah, B. (Faculty of Applied Science, 2021-09-15)
    Machine learning is currently the most commonly used branch of computer science, and it can guide better decisions and intelligent actions for high-value predictions in real-time. Researchers can use machine learning model ...
  • An automated translation of SQL to relational algebra: A lexical analysis and rule-based approach 
    Herath, H.M.A.K.; Linosh, N.E. (Faculty of Applied Science, 2021-09-15)
    Both academic and industry has been increasingly paid more attention to the quality of the relational database system. Relational algebra serves as the query language of relational databases that are often used to explain ...
  • Detecting freshness of fruits using carbon dioxide, oxygen and humidity sensors 
    Sammani, K.S.; Jayasinghe, P.K.S.C. (Faculty of Applied Science, 2021-09-15)
    The quality of edible fruits often depends on their freshness; there is no acceptable mechanism to check the freshness of fruits. A combination of technologies such as Arduino and sensors can detect the freshness of the ...
  • Suggesting appropriate business opportunities using a supervised learning approach 
    Thiranjaya, D.D.S.; Liyanage, C.R. (Faculty of Applied Science, 2021-09-15)
    It is a global understanding and a duly recognized fact that businesses and entrepreneurship play a vital role in an economy of a country. When it comes to employment generation, economic growth, and social cohesion and ...
  • A conceptual model to detect seat damages in train compartments 
    Rathnadasa, W.H.D.; Nuwan, L. (Faculty of Applied Science, 2021-09-15)
    Railway transport is one of the most popular public transportation mechanisms, which serves about seven million passengers daily. The Department of Railways has provided various provisions and safety regulations to provide ...
  • Evaluating the properties of paddy-grown soil after biofertilizer application 
    Dishalini, V.; Premanadarajah, P. (Faculty of Applied Science, 2021-09-15)
    This experiment evaluated the soil properties of paddy crop at clay loam soil in Kilinochchi by using different fertilizer sources, including two types of biofertilizer, Azolla, in a symbiotic relationship with Anabaena ...
  • A sentiment analysis dataset for code-mixed Sinhala-English language 
    Uthpala, K.; Thirukumaran, S. (Faculty of Applied Science, 2021-09-15)
    Communication is an essential part of human life, and technology has been involved in several ways much wider than ever before. Single language often does not reflect on how people communicate naturally. Many parts of the ...
  • Adulteration and quality of black tea in Sri Lankan market 
    Gunathilaka, D.M.N.M.; Warnasooriya, W.M.R.S.K. (Faculty of Applied Science, 2021-09-15)
    Adulteration of tea is becoming a severe issue in the Sri Lankan tea industry. Black tea is adulterated with sugar, glucose, sodium bicarbonate and ferrous sulphate to improve its colour and sand, iron fillings and leather ...
  • Benchmarking performance of text classifiers for imbalanced data 
    Upeksha, L.; Yasotha, R. (Faculty of Applied Science, 2021-09-15)
    A goal of a text classifier is to classify text documents into defined categories automatically. Classification belongs to supervised learning, where the targets are also provided with the input data. Traditional classification ...
  • Smart billing system for water consumption 
    Sinnalebbe, A.M.; Jayasinghe, P.K.S.C. (Faculty of Applied Science, 2021-09-15)
    In recent years, households’ demand for tap water has increased with the rapid increase of the worlds’ population. However, in Sri Lanka, it is reported that consumers are very low aware of daily water usage with traditional ...
  • Pollen source foraging preference of honeybees (Apis cerana) in Endane biodiversity corridor of Sinharajah Forest Reserve, Sri Lanka 
    Gunapala, R.G.L.J.L.; Sirisena, U.G.A.I.; Geekiyanage, N.; Madhushani, M.A.; Nanayakkara, S.; Perera, A. (Faculty of Applied Science, 2021-09-15)
    Identifying the most preferred foraging plants of honeybees is a prerequisite to harvest year-round bee honey production. This study evaluated the foraging preference of pollen sources by honeybees in the Endane Biodiversity ...
  • Genotoxic responses of Oreochromis niloticus to oil-contaminated water 
    Kanthi, A.; Jayaweera, W.M.C.S. (Faculty of Applied Science, 2021-09-15)
    Moragoda Ela is an open canal connected with three cross drains that serve critical functions in the Galle Municipal area drainage system. However, the canal is under severe pollution stress due to numerous illegal discharge ...
  • Early warning system for human-elephant conflict in Sri Lanka 
    Sewwandi, H.A.M.; Rumeshika, A. (Faculty of Applied Science, 2021-09-15)
    Elephants are essential indicators in an ecosystem. Human-elephant conflict (HEC) arises when elephants move to human livelihood. HEC is one of the significant problems in Sri Lanka. A variety of technologies have been ...
  • Melanoma skin cancer detection using deep transfer learning with channel attention 
    Papiththira, S. (Faculty of Applied Science, 2021-09-15)
    Melanoma is a dangerous type of skin cancer. Even though it occurs about one percentage of the population, its death rate is higher than other skin cancers. Melanoma has the potential to spread to other parts of the body ...
  • Analysing the risk level of diabetic neuropathy using data mining techniques 
    Priyadarshani, A.W.S.M.; Jayaneththi, J.K.D.B.G. (Faculty of Applied Science, 2021-09-15)
    Diabetic neuropathy is one of the severe complications that damage diabetic patient’s nerves throughout their bodies. This complication will cause pain and numbness in the legs and feet and affect their digestive system, ...

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