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Browsing Smart Computing and Systems Engineering - 2020 (SCSE 2020) by Issue Date

Browsing Smart Computing and Systems Engineering - 2020 (SCSE 2020) by Issue Date

Now showing items 1-20 of 37

Machine translation system to convert Sinhala and English Braille documents into voice

Anuradha, K. Sasindu; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Reading Braille documents are a time-consuming and labor-intensive task. A blind person should touch every Braille letter by his or her fingers. Therefore, high sensitivity in fingers and memorizing every Braille letters ...
Grammatical error detection and correction model for Sinhala language sentences

Pabasara, H.M.U.; Jayalal, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

As the national language of Sri Lanka, the greater part of the exercises at most of all the services are completed in Sinhala whereas it is imperative to guarantee the spelling and syntactic accuracy to convey the ideal ...
Vision-based automatic warning system to prevent dangerous and illegal vehicle overtaking

Athree, Mahinsa; Jayasiri, Anusha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

The purpose of this research is to implement a system that can be a help for drivers to drive vehicles safely and reducing accidents. Most of the accidents have occurred when overtaking. The driver has to consider the ...
Towards detecting morning surge from sleep self-evaluations

Takahashi, Masakazu; Sugahara, Noriyuki; Shibata, Masashi (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

This paper aims to analyze the blood pressure transition during sleep. Morning surge is a sudden increase in blood pressure from awakening or before awakening. Morning surge is implicated in cardiovascular diseases, such ...
Design of an auto disconnecting regulator and a safety switch to prevent domestic gas leakages

Rajapaksha, R.M. I. U.; Perera, P.S.H.; Nandasena, P.K.D.M.; Gunarathna, P.S.T.K.; Kanishka, P.P.D. Gihan; Ranaweera, A.L.A.K.; Kalingamudali, S.R.D. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

There is a growing demand for research in various aspects of smart homes. Automated security systems are an integral part of smart homes. Liquid Petroleum Gas (LPG) is one of the popular fuels used in domestic cooking. ...
Blockchain-based distributed reputation model for ensuring trust in mobile adhoc networks

Peiris, P.P.C.; Rajapakse, Chathura; Jayawardena, B. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Mobile ad-hoc networks also known as MANETs have been in global use for numerous applications which are not possible with fixed network topologies. The distributed operation and dynamic topology have encouraged MANETs to ...
Dengue mosquito larvae identification using digital images

De Silva, W.D.M.; Jayalal, S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Dengue is one of the highest spreading mosquitoborne diseases in tropical and subtropical regions all over the world. This disease is mainly spread by the mosquito vector called ‘Aedes’. In Sri Lanka, the number of infected ...
Anomaly detection in cloud network data

Yasarathna, Tharindu Lakshan; Munasinghe, Lankeshwara (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Cloud computing is one of the most rapidly expanding computing concepts in the modern IT world. Cloud computing interconnects data and applications served from multiple geographic locations. A large number of transactions ...
Smart electricity monitoring and analysing an IoT system with a mobile application

Fernando, A.I.R .; Perera, M.D.R. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Now, the demand for electricity has increased in the World. This demand was increased concern to the raises of many developed and developing nations in the world. In Sri Lanka, the energy was provided by only less electricity ...
Minimization of fraudulent activities in land authentication through Blockchain-based system

Jayabodhi, L.W.D.C.; Rajapakse, Chathura; Senanayake, J.M.D. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

In Sri Lanka, the land administration process has not been digitized, which has led to plenty of conflicts in determining the real ownership of lands and drastically increasing the land transaction processing time, which ...
A modified cognitive complexity metric to improve the readability of object-oriented software

Jayalath, Thilini; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Complexity of software can be identified as a term which expresses the difficulty level of reading, understanding, maintaining and modifying the software. This helps to the quality improvement of the software and maintenance ...
A modified cognitive complexity metric to improve the readability of object-oriented software

Jayalath, Thilini; Thelijjagoda, Samantha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Complexity of software can be identified as a term which expresses the difficulty level of reading, understanding, maintaining and modifying the software. This helps to the quality improvement of the software and maintenance ...
Contextual assistant framework for the Sinhala language

Dasanayaka, D.D.S.S.; Warnajith, N. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Continuous customer relationship plays an important role in the success of any business milieus in today’s world. Nonetheless, it can be harder to achieve consistent engagement with the customers round the clock and therefore ...
Social media has gained impressive popularity all around the world in the last decade. Social networks such as Twitter, Facebook, LinkedIn, and Instagram have acquired their user’s attraction by maintaining their identity with very similar features. With the popularity of these platforms, now a day most of the users tend to rely on the information published on social media. Therefore, the credibility of social media information is playing a major role in the present cyberspace. As an example, the Twitter platform is handling 500 million tweets per day. Most of the twitter messages are truthful, but the twitter platform is also used to spread rumors and misinformation. Truthfulness or reliability is depending on the source's credibility. Twitter profiles can be identified as the information source on the twitter platform. In this paper, a user reputationbased prediction method is proposed to analyze the twitter source credibility. The proposed solution is mainly based on the k-means clustering model. Another two models namely, news category analysis and sentiment analysis are deployed to generate novel features for the clustering method. The objective of this paper is to introduce a credibility rating method to visualize the user credibility of twitter user profiles. So that followers can have an understanding about the trustworthiness of the information published on that profile. Producing the agreement score for a specific twitter user is one of a novel experiment in this research. Achieved accuracy by the system is 0.68 according to the evaluations conducted.

Fernando, Aneesha; Wijayasiriwardhane, Thareendra Keerthi (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Religion is one’s relation to what he or she regards as holy, sacred, spiritual, or worthy of especial reverence. Religious extremism is the advocacy of extreme measures over a religion whereas religious extremists are ...
A microtransaction model based on blockchain technology to improve service levels in public transport sector in Sri Lanka

Jayalath, S.A.; Rajapakse, Chathura; Senanayake, J. M. D. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Ticketing mechanism in a public transportation system is a major factor which defines the service quality of the system. Current online payment systems (credit/debit cards, PayPal, etc.) are not compatible with micropayments ...
IoT based animal classification system using convolutional neural network

Vithakshana, L.G.C.; Samankula, W.G. D.M. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

The kingdom “Animalia” is used to represent all living creatures on the planet earth, which is fallen into six categories. The language is the most common factor to divide humans and animals. Numerous classification ...
Keyword extraction from Tweets using NLP tools for collecting relevant news

Jayasiriwardene, Thiruni D.; Ganegoda, Gamage Upeksha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Keywords play a major role in representing the gist of a document. Therefore, a lot of Natural Language processing tools have been implemented to identify keywords in both structured and unstructured texts. Text that appears ...
Impact of metacognition and age group on contemporary video game interface and gameplay design

Harischandra, Nandunie N.; Jayakody, Lahiru A.; Madusanka, Tiroshan (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Metacognition is about “learning about learning” [1]. However, this theory is far more complicated. This allows people to take charge of their own learning. It involves awareness of how they learn, and evaluation of their ...
Affective gaming in real-time emotion detection and music emotion recognition: Implementation approach with electroencephalogram

Kalansooriya, Pradeep; Ganepola, G.A.D. ,; Thalagala, T.S. (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Affective Gaming can be considered as the concept of detecting the real-time emotional state of a player during various stages in gameplay and then enhancing the user interactivity accordingly to the emotional state. Based ...
Source credibility analysis on Twitter users

Wijesekara, Malith; Ganegoda, Gamage Upeksha (Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2020)

Social media has gained impressive popularity all around the world in the last decade. Social networks such as Twitter, Facebook, LinkedIn, and Instagram have acquired their user’s attraction by maintaining their identity ...

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