Narmada Gamage

Sri Lanka Institute of Information Technology, Ise, Faculty Member

Followers

Following

Public Views

Interests

Uploads

Papers by Narmada Gamage

TangiGuru: Tangible E-Learning Solution for Early Childhood Development

2022 4th International Conference on Advancements in Computing (ICAC)

Evaluating the Success of Digital Learning in Sri Lankan Tertiary Education

2022 4th International Conference on Advancements in Computing (ICAC)

Ornamental Fish Disease Prediction System

International Journal of Computer Applications

Now, many individuals practice ornamental fish breeding as a part time, while others do it as the... more Now, many individuals practice ornamental fish breeding as a part time, while others do it as their primary source of income. Some people practice ornamental fish breeding while having little expertise in the subject. Some individuals do this without knowing what illnesses might affect fish under varied environmental circumstances or what treatments are available. As a solution, we intend to find out what ailment's animals may have by monitoring the aquatic environment's environmental conditions and developing remedies for them. The key technology we utilized to create the I o T device was Arduino. To transport data from the device to the database, the PHP programming language is employed. We gathered data from prior articles. It is anticipated which aquatic plants are ideal for growing in this habitat by monitoring the aquatic environment of this water using an IoT device. If the aquatic habitat is unsuitable for fish, they will investigate what diseases the fish might contract in that setting and what treatments are available. Simultaneously, the number of fish that can be held in a tank, the amount of food they require, and the amount of food are projected. We illustrate the source of fish illnesses and how to avoid them. It is more useful for fish dealers and consumers to have a thorough awareness of what fish diseases are and what treatments can be done. We can surely declare that the accuracy of our study is 99%.

Download

A Tangible E-Learning Solution for Early Childhood Development

2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Document Reader for Vision Impaired Elementary School Children to Identify Printed Images

2019 International Conference on Advancements in Computing (ICAC)

Vision Impairment is a severe reduction of one or more functions of the eye. The print disability... more Vision Impairment is a severe reduction of one or more functions of the eye. The print disability prevents a person from gaining information from printed material in the standard way and requires them to utilize alternative methods to access the information. World Health Organization estimated that nineteen (19) million children are visually impaired worldwide. As they are the future of the world it is necessary to eradicate barriers to the journey of gaining knowledge. Hence, this paper presents a mobile-based application targeting elementary school students to read textual documents, which contains a graphical image. The mobile application provides audio assistance to navigate through a mobile application, autofocused image capturing of printed papers, store captured images, classify selected text, images, and read-aloud generated digitized text. Therefore, “Schmoozer” would allow visually impaired individuals to read unbraided documents without others' interaction. Furthermore, this paper discusses the test results and evaluations to justify the feasibility of the proposed solution.

A Deep Learning Model Optimized with Genetic Algorithms for Resource Allocation of Virtualized Network Functions

2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), 2021

Software Defined Networking (SDN) has gained a significant attention of Cloud Service providers (... more Software Defined Networking (SDN) has gained a significant attention of Cloud Service providers (CSPs) for managing their network infrastructure. With the popularity of services such as virtualized applications and Virtualized Network Functions (VNFs), many organizations are outsourcing their entire data centers to the CSPs. From the perspective of CSPs, effective and efficient cloud resource management plays an important role, in terms of continuing a successful business model. This research focuses on proposing a resource allocation algorithm for a cloud platform where VNFs are offered as a service. It is a tier-based resource allocation approach, where different resource tiers are defined in terms of network bandwidth, processor speed, RAM, vCPUs and number of users. Once the client's request is submitted for VNFs, we have used a deep learning approach (a Keras model which was optimized using Genetic Algorithms) to forecast the most suitable resource tier. Our results show that the proposed resource allocation algorithms can forecasts the most suitable resource tier for given scenario, in the order of seconds, with high accuracy.

Towards an Efficient and Secure Blood Bank Management System

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC), 2020

a blood bank plays an important role in a hospital as well as in a country, ensuring safe and tim... more a blood bank plays an important role in a hospital as well as in a country, ensuring safe and timely blood transfusions. However, there are several challenges faced by blood banks around the world, specifically when securing the blood supply chain. Reducing the supply-demand imbalance, protecting the data privacy of donors as well as receivers, are some of them. Therefore, there is a timely requirement for an effective and secure management system for the blood bank. We have proposed a management platform for the blood bank operations with the following modules: (1) forecast blood demand, (2) suggest blood donation campaign locations and (3) secure blood supply chain. The proposed platform has been implemented using techniques such as Long Short-Term Memory (LSTM), k-means clustering, Geographic Information Systems (GIS), and blockchain. Our results show that using our proposed modules, we can minimize the imbalance between supply and demand of blood, find the most suitable donor in an emergency, and enhance the privacy of data.

E-tongue -A smart tool to predict safe consumption of groundwater

2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer), 2020

In Sri Lanka, reportedly 59% of the population depends on water from natural sources. The governm... more In Sri Lanka, reportedly 59% of the population depends on water from natural sources. The government has taken necessary action to provide a quality water, there has always been a need to educate people about the importance of maintaining water quality, the importance of using better-quality water, and necessary precautions to be taken to avoid the Chronic Kidney Disease (CKD). Prior studies of the problems that has to induce to implement an E-Tongue: a smart device to predict safe consumption of groundwater, which is identify the quality of a groundwater in real-time by designing an Internet of Things (IoT) device to read the value of water quality parameters and GPS to fetch location which will be then transferred to cloud environment for an easy access by the machine learning model to process and identify the Water Quality Index (WQI). It will then predict the water quality parameter levels that could be changed in the future and check the possibility of CKD. All the outputs will be finally displayed via the mobile application with 73% accuracy.

Water Quality Index Based Prediction of Ground Water Properties for Safe Consumption

2020 2nd International Conference on Advancements in Computing (ICAC), 2020

Water as one crucial element for the survival of human beings is necessary to be handled with car... more Water as one crucial element for the survival of human beings is necessary to be handled with care. With a 59% of the Sri Lankan population depending themselves on this indispensable element, the authorities and the people must heed the importance of safe consumption to avoid severe consequences like Chronic Kidney Disease (CKD). In an attempt to address this social predicament, a smart device was fashioned as an initiative to predict safe consumption of groundwater and, to oblige and upskill the users to identify the quality of a groundwater sample in real-time. With the inclusion of machine learning techniques, the implementation was done by predicting the Water Quality Index (WQI) which is a single numeric index that mirrors the overall quality of any water sample, with an accuracy of 97.82%. In addition, two more serviceable functionalities to predict possibilities of CKD outbreak and forecasting water quality parameters were also implemented with accuracies of 76.99% and 92% re...

Press plus-interactive mobile application for effective news reading

2017 12th International Conference on Computer Science and Education (ICCSE), 2017

Presently younger generation relies more on mobile applications to acquire information instead of... more Presently younger generation relies more on mobile applications to acquire information instead of traditional methods. Hence, customary approaches of information distribution required to reinforce by modern technology. Especially newspaper industry needs a certain technology enhancement to make the reading experience more interesting and pleasurable for readers. The “Press Plus” is an application to form an association between the newspaper and modern technology to promote newspaper reading by allowing the user to watch news related videos via their smartphone. This application uses scanning and retrieving data through QR code technology with the collaboration of mobile & web application. The mobile application provides three main facilities; Video playback controller; which allows users to scan printed QR code and play news related videos, Top list; which permit users to rate and view top rated videos and live stream; which facilitate users to watch live events independent from location and time. Additionally to the application, a separate survey was conducted to evaluate newspapers reading habits of youth in Sri Lankan context. Survey results indicate that a large number of individuals prefer newspapers reading via modern technologies such as mobile applications. “Press Plus” is beneficial to both newspaper readers and publishers in many ways. It helps to enhance a number of newspaper readers by making it more attractive and pleasurable. In addition, readers get a novel experience while reading newspapers. Publishers indirectly can gain revenue through branding, marketing and event promotions via this application.

LAWSUP - A Smart Platform to Assist Stakeholders of Business Law

2022 4th International Conference on Advancements in Computing (ICAC)

Effectiveness of Stock Index Forecasting using ARIMA model: Evidence from New Zealand

2021 3rd International Conference on Advancements in Computing (ICAC), 2021

Time series of stock market indices are dynamic, interdependent, and considered sensitive to many... more Time series of stock market indices are dynamic, interdependent, and considered sensitive to many factors. Thus, the prediction of such indexes is always challenging. A comprehensive review carried out by the authors finds that no attempts have yet been carried out to test ARIMA models’ predictive efficacy applied to the New Zealand financial markets. Thus, technical analysis based ARIMA prediction models are developed and empirically tested on the New Zealand stock market (NZX50) index. Daily NZX50 index data are used, and the forecasting precision of the models is assessed based on Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RMSE]. Our study finds that ARIMA (1, 1, 0) plus intercept is the best order forecasting model out of the models we examined. Once a substantiate algorithm training is implemented, formulated ARIMA models could be successfully employed to forecast the time series of other stock market indexes or the same index ...

IoT-based Monitoring System for Oyster Mushroom Farming

Agro-Mate: A Virtual Assister to Maximize Crop Yield in Agriculture Sector

2021 3rd International Conference on Advancements in Computing (ICAC), 2021

Data-driven Online Decision Support for Hotel Site Selection

2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 2021

Location is one of the fundamental factors that determine hotel success. The location, once selec... more Location is one of the fundamental factors that determine hotel success. The location, once selected, cannot be changed without a significant investment. This research aims to identify the location-specific factors that affect Sri Lankan coastal hotels. The factors that affect the location rating have been assessed under location attraction, accessibility, and popularity. An ensemble learning model has been trained to predict the location score of a hypothetical location, assess the manner accessibility affects hotel performance, and predict location popularity based on the surrounding competition. The results show that this method can assess hotel location and performance, with significant accuracy and the identified location-related factors that contribute to a hotel's success can be used by hoteliers and investors to improve decision making.

SmartCop: An Automated Platform to Mitigate the Impact of Road Accidents

2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC), 2020

Road accidents have become one of the major issues both locally and globally as they cause many d... more Road accidents have become one of the major issues both locally and globally as they cause many deaths, injuries, fatalities, and economic deprivation. Major reasons for the rapid increase in road accidents are not only the negligence of public unawareness, but also the improper scheduling and enforcement of traffic police officers to control the traffic. In this paper, we have proposed the SmartCop platform to mitigate the impact of road accidents with four modules: (1) predict road accidents, (2) recommend and schedule police officers, (3) enhance road accidents prevention awareness using a game-based learning approach, and (4) enhance road accidents response awareness using a game-based learning approach. We have used supervised/unsupervised learning, optimization techniques, and game-based learning approaches to implement the above-mentioned modules. Our results show that, using our proposed modules, the road safety related services can be automated efficiently and effectively.

Easy Learning: Augmented Reality Based Environmental Studies for Primary Students

Primary education is every child's fundamental right. According to the United Nations Educati... more Primary education is every child's fundamental right. According to the United Nations Educational, Scientific and Cultural Organization (UNESCO), primary schooling offers learning and educational activities typically intended to provide learners with basic abilities in reading and writing. The students find it difficult to identify trees and animals around them due to the lack of exposure to the natural environment. This research study introduces mobile based application (Easy Learning) which embraced augmented reality technology (AR) to motivate and aid learners in studying Environmental Studies in terms of identification of animals and trees. In order to provide sufficient knowledge about trees and animals, this research focuses on safe internet browsing and summarization for trees and animals. Easy learning suggest safe videos for kids and generates knowledge based questions to evaluate themselves as well. The study also evaluates whether the students like the features of the...

Forecasting accuracy of Holt-Winters Exponential Smoothing : evidence from New Zealand

Interactive Solution to Improve Flood Awareness Among Public – Flood Run

2019 4th International Conference on Information Technology Research (ICITR), 2019

Myanmar, central dry zone has abundant solar resources. The government of Myanmar is trying to su... more Myanmar, central dry zone has abundant solar resources. The government of Myanmar is trying to substitute using the new and renewable sources of energy. So, the proposed research paper is the one of the rural electrification project for Na Bu Taw (North) village, which is situated at Natogyi Township in Mandalay Region in Myanmar. The purpose of this paper is to propose the best hybrid technology combination for electricity generation from a hybrid of solar PV, Battery and Diesel Generator to satisfy the electrical needs in a reliable manner of an off grid area, in Myanmar. The system includes a 10 kW PV array, 2.76 kWh worth of battery storage, and a 4 kW diesel generator. The paper describes a detailed analysis of the energy flows through the system and excess electricity, LCOE and emission of the system.

Download

Sustainable Manufacturing: Application of Optimization to Textile Manufacturing Plants

Global Journal of Computer Science and Technology, 2020

The main goal of manufacturing industry is to produce the end products on time with good quality ... more The main goal of manufacturing industry is to produce the end products on time with good quality and keep the resource wastage low. However, manufacturing industry face several challenges such as bottle necks in the workflow, unsynchronized production, and sudden increase in product demands. In this paper, we are proposing a management platform for textile manufacturing plants with following modules: (1) sewing workflow optimization (2) quality assurance workflow optimization and (3) finishing workflow optimizations. We have used Genetic Programming (GP) approach, to optimize the workflows, considering different factors that affect each workflow. Our results show that, using our proposed platform, the manufacturing workflows can be optimized and reduce the bottle necks in the workflows and resource wastage in the manufacturing plant.

Download

Narmada Gamage

Uploads

Papers by Narmada Gamage

Log In