Browsing by Author "Senanayake, S.H.D."

Now showing 1 - 12 of 12
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    Analysing Critical Factors Associated with Perceived Risk for Major Types of Cancers in Sri Lanka — using Data Mining Techniques
    (Uva Wellassa University of Sri Lanka, 2018) Parakrama, M.L.; Kodikara, K.A.K.D.; Senanayake, S.H.D.
    Cancer is one of the world recognized critical cause of morbidity and mortality. Identification of demographic, health and life style factors are significant to detect and prevent from the cancers. Since the Sri Lankan public has lack of knowledge about influence of those factors on cancer risk, the research has been conducted using data mining techniques to develop significant patterns in order to identify the critical factors towards the most recorded cancer types in Sri Lanka (Breast, Oral and Oesophagus cancers). Hence, the ultimate objective of the research is to increase the awareness among Sri Lankan public which will be helpful to take preventive approaches. The research was based on the patients' data within a fiveyear period of time, which was collected from the sources of Apeksha hospital, Maharagama. By following the Knowledge Discovery in Databases process, data collection and preprocessing were completed manually. Data was analysed through the data mining tool called Weka. The research was used Random Forest classification technique, k-mean clustering technique, and Apriori association rule mining. From the research it has been identified that the gender, number of children, breast feeding, menopause, weight, age at menarche as the critical factors towards the breast cancers. The gender, marital status, weight, smoking, consumption of alcohol, betel chewing were identified as critical factors towards the oral cancers. The gender, consumption of alcohol, occupation, weight and age were identified as critical factors towards the Oesophagus cancers. The patterns were obtained from the above identified critical factors with their approximate values.
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    Augmented Reality-Based Approach to Improve Learnability of Sri Lankan History
    (Uva Wellassa University of Sri Lanka, 2020) Muthuhewa, A.M.C.D.; Fernando, W.P.V.R.; Senanayake, S.H.D.; Ekanayake, E.M.U.W.J.B.; Ellepola, C.S.D.
    Augmented Reality (AR) being one of the most trending technologies in the world has offered many possibilities to improve existing traditional approaches in day to day tasks. In Sri Lanka, the existing model of education is mostly based on a passive learning system. But as the technology is growing, all the education systems are moving towards digital. The low-cost tablet PCs would replace textbooks soon. In Sri Lanka, there are some schools where the tablet PCs are already using as a learning element. However, there is not enough learning material to be used with these high-end devices and the curriculum of the local education is not optimized to take full advantage out of these devices. This study is focused on how AR-related applications can be used to improve the learnability of students, allow students to learn in an active learning environment in history, and archeological education using AR and evaluate the feasibility of implementing an active learning environment. In this study, the evaluation has been done using two main areas in archeological history education in Sri Lanka. Which are archeological places and arts and crafts that have an archeological value? The evaluation has been done using a mobile AR application-HistoriaAR. The researchers select a group of students to study a given lesson that covers the history and archeological aspects using textbooks and AR-based mobile application in two instances. After that, students were evaluated with a paper-based questionnaire and an in-build evaluation component in the mobile AR application, respectively. According to the results, the mean score of performance (7.13) using textbooks has been improved to mean score of (8.10) using AR related to archeological places. And mean score of performance (6.92) using textbooks has been improved to mean score of (7.63) using AR for to arts and crafts section. At the end of the study, results have proven that the performance of the learning of students can be improved using AR. Keywords: Augmented reality (AR), Sri Lankan education, History & Archeological studies, Active lear
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    Automated Collection of Customer Feedback Using Facial Expression and Machine Learning Techniques
    (Uva Wellassa University of Sri Lanka, 2019-02) Jayarathna, H.M.P.P.; Priyanga, E.A.I.; De Silva, B.P.; Karunarathne, K.R.R.; Perera, R.M.; Senanayake, S.H.D.
    Today, feedback of customers is crucial for businesses and organizations. It is the main method of identifying the customer service, quality and future improvements of the service. Nowadays most of the modern companies are focusing on digitalized approaches to collect customer feedback where the users can instantly rate the service. In order to take the feedback from customers in a digitalized way, there are some machines and methods available such as happy-or-not feedback machine. Analyzing the feedback is the only way of measuring the performance of the customer service officers. But the main problem of these systems is that they only allow the users to rate the service manually and such that it allows to add expressions as they wish, rendering it unreliable. Also, there is no way to measure the customer service and employees’ performance by computing. There are some methods to measure the customer service, such as crucial customer service metric. This metric can be used to measure the quality of the customer service. But, there is no automated and robust way to measure the customer service. This research introduces a device that applies the theories of the customer service metrics such as customer request volume, first response time, number of replies, customer satisfaction score etc. Machine Learning techniques are used to capture facial expressions and voice detection. The device facilitates measuring of customer service performance of employees autonomously by monitoring the employee involved in customer service and rates their results. The device captures the employees’ expressions and apply the values into the customer service metrics and produces the overall performance. It can measure the real rating of the customer service without the need for customer interaction. This device could be beneficial in any field where customer satisfaction is crucial. The effectiveness of this device are yet to be obtained after being applied on a real world scenario.
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    A Customizable Virtual Reality Application for Enhancement of Method of Loci
    (Uva Wellassa University of Sri Lanka, 2019-02) Perera, R. M.; Priyanga, E.A.I.; De Silva, B. P.; Karunarathne, K.R.R.; Jayarathna, H.M.P.P.; Senanayake, S.H.D.
    The ability of memorizing more information can be considered as a measurement of intelligence, especially in the long-term memory. There are several ways to recall the memory such as mental memory tree, memory map, etc. These methods are based on the visualization of facts. The Loci method is one of the best methods which allows quick recall of information through visualization and the use of spatial memory. This method enables to memorize by linking information with various symbols. However, that method has been proven to be effective for centuries, it is still not widely adopted by most of the people due to the complications of understanding the technique. This difficulty of visualizing and usage of this method renders it less useful to a majority. Various studies on enhancement of method of loci have been done through the years. These studies are not providing customizable approach to the end-user. This research also enhances this application by enabling the end-users with the ability of customizing the solution making it applicable in a broad range. The solution introduced in this research is a Virtual Reality based software application developed using Unity3D Game Engine and Google Cardboard Virtual Reality Software Development Kit. It renders a memory palace along with the ability of customization allowing the user to store information along the palace path. The researchers have developed a mobile application which can be run on any device that supports Google Cardboard Virtual Reality. This application has the potential of aiding the user with the ability of memorizing various information with ease. This can be applied in a wide range of fields such as education and psychological treatment. The researchers have planned to further develop the application allowing users to use various mind palace templates according to their preferences.
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    An E-Management Solution for the Sri Lankan Police Department to Improve the Efficiency of Service
    (Uva Wellassa University of Sri Lanka, 2018) Alahakoon, A. D.C.; Abeywardhana, K.G.H.; Karunarathna, S.S.W.; Senanayake, S.H.D.
    Lack of information sharing mechanism, duplication of data and delay of services were identified as the main problems in the Police Department of Sri Lanka. Therefore, an e-management solution was introduced to fulfill the above requirement. The efficiency of services in the Police Department will be improved by this e-management solution. Better and efficient services will be provided to the victims as well as police by automating the current manual process. This solution has two parts named web system and the mobile application. The computerized web system will facilitate complain handling and provide reports by printed documents and keeping criminal records on them. The records can be stored and retrieved more securely through this web system. The mobile application was introduced to communicate between police officers in each division in the Police Department very easily and fast. This application mainly consists of parts such as check people identification, check vehicle, add accident, add fines and message. Details of people and vehicle can be verified by police officers, who are out of the police station and messages can be exchanged more securely, fast and clearly by police officers through this application. The web system and the mobile application were connected by using web server through Json API and MySQL server was used to create the database of the research. Efficiency of police performance and procedures can be improved by this e-management solution through integration of previously separates information systems.
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    Enhancement of English Language Speech and Comprehension Through Means of Virtual Reality for Sri Lankan Context
    (Uva Wellassa University of Sri Lanka, 2020) Jayarathna, H.M.P.P.; Priyanga, E.A.I.; Jayasinghe, K.C.; Senanayake, S.H.D.; Wimaladarma, S.T.C.I.; Pathirana, K.P.P.S.
    Speaking is one of the essential skills needed to be developed by any English learner. But the English curriculum taught by Sri Lankan schools often focuses on providing English vocabulary, grammar, and comprehension but pay less attention to enhance oral communication skills. This leads to a lack of practice in spoken English. Therefore, that affects a wide spectrum of applications such as business communication, presentation of creative work, etc. Other problems are anxiety, fear, lack of confidence, and nervousness of speaking English. This research focuses on designing a Virtual Reality (VR) based application for the above-mentioned problems and it facilitates a more convenient and yet natural experience through the use of techniques such as VR, Natural Language Processing (NLP), etc. to expand the English oral and understanding ability. This VR based solution will enhance the oral practice of the language and reduce the lack of confidence while improving the speech and comprehensive skills of Sri Lankan school students. Users can practice the application anywhere with common real-world scenarios such as conversing during a doctor’s appointment, buying dresses from a shop, etc. This game-based learning tool helps to evaluate the users and they can get scores according to their performance. At the same time, it facilitates to expand their English speech and comprehension ability. To measure the effectiveness of this application, user evaluation was done as a pre-experimental method with a one-shot case study with the use of pre-test and post-test design. A total of 30 local students following the local English language curriculum between grades eight and ten were selected as a sample for this purpose. The t-test analysis showed a value of 2.34 alongside a table value of 2.131 which depicts a clear correlation between the usage of the application. Significant enhancement of oral and comprehensive skills of the users was observed through the evaluation. Keywords: Virtual reality, Natural language processing, Voice recognition, Speech synthesis, Artificial intelligence
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    Identifying Hidden Patterns Related to Indices in CSE through Data Mining
    (Uva Wellassa University of Sri Lanka, 2016) Sathkumara, S.M.M.P.; Senanayake, S.H.D.
    The linkage between stock market operations and the economic growth has been tested by most of the economists in various countries. The key of success in stock trading is to buy and sell stocks at the right time for the right price. "Buy Low, Sell High" sounds easy, but it is so difficult to carry out since the direction of stock market in the near future is almost unpredictable. With the advances in data mining, it has now become possible to predict the future market direction based on historical data. By this research, I have tested & evaluated the performance of the stock market operations in Sri Lankan context using more than ten years data from 2003 to 2015. The main purpose of this research is identifying hidden patterns related to price indices in Colombo Stock Exchange (CSE) through data mining. In here I have used following attributes to achieve the main objectives of the research, All Share Price Index(ASPI) and twenty sector indices in CSE. The Price Indexes were used which are composite representation for whole stock market operations. Those twenty sectors are Banks, Finance & Insurance, Beverage, Food & Tobacco, Construction & Engineering, Chemicals & Pharmaceuticals, Diversified holdings, Footwear & Textiles, Hotels & Travels, Health care, Investment trusts, Information Technology, Land & property, Manufacturing, Motors, Oil palms, Power & Energy, Plantations, Stores & Supplies, Services, Telecommunication, Trading. The WEKA software is used to analyse the data. The empirical findings of this research finally gave three highest percentages among twenty sectors with the twelve high percentages. I have tged 90 percent as the threshold value to find out those fifteen outputs. This study will be helpful to future researches and the potential stock market investors. Keywords: Stock market, Data mining, Classification, Pattern recognition, Decision tree
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    Learning Modality based E-learning Approach to Enhance the Sri Lankan Education System
    (Uva Wellassa University of Sri Lanka, 2020) Peeris, T.P.C.K.; Pathiranage, G.; Perera, K.T.T.; Senanayake, S.H.D.
    Sri Lankan education system is based on a teacher-centered education approach. Mostly the students do not have an opportunity to learn according to their learning modality. According to the statistical reports released by the Department of Examinations of Sri Lanka, there is a considerable failure rate in the General Certificate of Education Ordinary Level Examination, especially in Mathematics. Through these reports, we can observe that there is a weakness in the current teaching approach. This study addresses the above-mentioned problem by evaluating the effectiveness of learning according to the learning modality-based e-learning approach instead of the teacher-centered education approach. Visual, Auditory, and Kinaesthetic learning modalities are considered in this study. Grade eight English medium students were randomly selected into two samples with twenty in each. Similar portions were selected from the units ‘Sets’ and ‘Volume’ from the Grade eight Mathematics syllabus. One sample was selected and their learning modality was identified through the e-learning platform and facilitated to learn through the e-learning platform based on the identified learning modality. The other sample was facilitated to learn the same unit with the teacher-centered education approach. The learning approach applied for the samples was interchanged in the next unit. A paper-based test was given to the two samples at the end of each unit and marks were recorded. Two sample t-test was used to analyse the results. Analyzing the results, calculated p-values for the units ‘Sets’ and ‘Volume’ are 0.03530 and 0.03542 respectively with a 95% confidence level. It is concluded that there is an improvement of marks in the learning modality-based elearning approach than the traditional teaching approach. This modality-based elearning approach can be applied to increase the effectiveness of the education system by mitigating weaknesses that occurred in the teacher-centered education approach. Keywords: E-learning, Learning-modality, Visual, Auditory, Kinaesthetic
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    A Morphological and Gradient-based Approach Classify Rice Grains
    (Uva Wellassa University of Sri Lanka, 2016) Niroji, K.; Senanayake, S.H.D.
    Rice is the seed of the monocot plants Oryza sativa (Asian rice). Rice grain recognition is very essential in agriculture for the management ofrice grain types. Grain quality of rice varieties is determined by their physical characteristics. However, rice grain classification is an important component of computerized rice grain classification. This study proposes a computerized system for rice grain classification using digital morphological feature and shape based features. In order to achieve this goal, it translates into the identifying three target objectives such as to extract the features ofrice grains, to classify the rice grains using k-Nearest Neighbour (k-NN) and Support Vector Machine (SVM) and to decrease the labor intension and improve the speed and precision of the Identification and classification compared to previous works. This study confirms the importance of basic (length, width, area, and perimeter) and morphological (aspect ratio, form factor, rectangularity, Equivdiameter) features. The four basic and four morphological features and Histogram of Oriented Gradients (HOG) features are used to classify ten types of rice grain varieties which are currently famous in Sri Lanka. These features are the input to the classifier for efficient classification and the results were tested with the k-NN and SVM classifiers separately.The k-nearest neighbour approach was used as a baseline classifier and then classified with SVM classifier. The proposed approach shows around 98.571% of classification rate when using HOG descriptors than basic and morphological features using SVM classifier as well as k-NN classifier. The experimental result demonstrates that the proposed method is effective and efficient. In particular, by comparing with the k-NN and SVM classifiers, when using HOG descriptors system increases the accuracy with compared to the other basic geometrical, morphological features under the case of no sacrificing the classification accuracy. Keywords: Rice grains classification, Rice grains identification, SVM, geometric features, morphological
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    Open BevyBot 2020 – An Open Source Low Cost Educational Robot for Effective Learning
    (Uva Wellassa University of Sri Lanka, 2020) Silva, B.P.D.; Karunarathne, K.R R.; Shaya, K.; Pathirana, K.P.P.S.; Senanayake, S.H.D.
    The modern world with lack of availability of an effective learning platform for students who are tired of traditional learning techniques. In the present day, basic mathematics is the most valuable fact for primary level students to improve their problem-solving skills. This study is carried out to develop a cost-effective open-source robot with a rewarding system for the children of the age group between five and ten years. The open-source robot chassis designed with computer-aided designing which can print by using 3D printing technology. In this research, a Java-based library is developed to communicate with the microcontroller of the robot and the hardware of the smartphones. And also, there is another problem that they have to spend more strive to build a robot as it is not a work that can be done in less time with a low budget. Throughout this study, present solutions such as Cosmo, Poppy, Q.bo-one are considered to gather information. But these robots are costly and also lack of opportunities to use for education purposes and that robots need external hardware sensors. But in the modern world, most people own a smartphone and it contains the above hardware (Processor unit, Sensors.). If can reuse that mobile phone hardware as robot hardware it will much cost-effective. Researchers decided to combine three ideas of open-source hardware/software, 3D printing technology, and reuse mobile phone hardware. As the final solution researchers build an open-source robotic platform with reusing mobile phone hardware combining the android library and finally they build an educational robot to evaluate the platform. Furthermore, researchers analyse the effectiveness of the built educational robot by providing a questionnaire to the students (age group 5-10 years) & getting feedback from them. Researchers plan to use PCB designs as hardware circuits into one platform which reduces the circuit space and commercialization of the product in the future. Keywords: Educational robots, Open source, 3D printing technology, Low cost, Mobile phone
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    Pattern Identification for Main Export Products in Sri Lanka through Data Mining
    (Uva Wellassa University of Sri Lanka, 2016) Darmasena, D.S.P.; Senanayake, S.H.D.
    Identifying the tendencies using data mining techniques is done by this research. Normally, this goes beyond the normal data analysis. This research identifies the effects which can cause to the Sri Lankan Gross Domestic Product (GDP) through many analysing tools. It means the tendencies in export sector of Sri Lankan economy has been examined through this. Export performance is one of the strongest areas of Sri Lanka's economy in the present time. Data mining can be done as predictive analysis through complete and intuitive set of data mining tools. Furthermore, the flexible platform extends prediction into any application. For this purpose, there are lot of learning methods has been followed by Export Development Board and interested parties. But a correct analysis of data has not been done by any of these parties and most of the analysis are done by manually. But in this research the WEKA tool was used to analyse data. So the accuracy will be very high. Different data has been collected through many resources. The information which has been collected is put into logic to create an algorithm. Keywords: Data mining, Classification, Clustering, WEKA, Decision tree
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    Pattern Recognition in Dengue Disease
    (Uva Wellassa University of Sri Lanka, 2016) Jayaratne, H.M.K.V.; Senanayake, S.H.D.
    Data Mining is one of the most motivating areas of research that has become increasingly popular in health sector. It is a well-known technique used by health organizations for classification of diseases. It plays an important role for uncovering new trends in healthcare sector which in helpful for all the parties associated with this field. Dengue is a life threatening disease dominant in developed as well as under developing countries like Sri Lanka. This is a virus born disease caused by breeding ofAedes mosquito. Datasets that are available for dengue describe information about the patients suffering with dengue disease and without dengue disease along with their symptoms like: fever temperature, WBC, platelets, severe headache, vomiting, metallic taste, joint pain, appetite, and haemoglobin. In this research various algorithm approaches are discussed of data mining that have been utilized for dengue disease prediction. In the proposed approach WEKA data mining tool was used to evaluate data and compare results. In this research, the dengue data set was classified, pre-processed and then compared the different data mining techniques in WEKA through explorer interfaces. According to the four experiments, several patterns could be obtained from dengue patients' details about district, admitted date, gender, age and hospital. According to the first experiment, the probability compared to the Matara district dengue patients and Gampaha district children who suffered from dengue disease live in very high populated areas and are highly using base hospitals. That means they use hospitals like Lady Ridgeway children's Hospital or Infectious Diseases Hospital (IDH) because there are specific hospitals for children and dengue patients in those areas. So the parents live in Negombo and Kelaniya areas are aware of that. Also, there is a high probability of Gampaha district male dengue patients who are living in very high populated areas and age is 60 or above use base hospitals in the second quarter of the year. Keywords: WEKA, WBC, Data Mining