2nd International Conference on Advancements in Computing [ICAC] 2020
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Publication Embargo VirtualPT: Virtual Reality based Home Care Physiotherapy Rehabilitation for Elderly(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Heiyanthuduwa, T.A.; Amarapala, K.W.N.U.; Gunathilaka, K.D.V.B.; Ravindu, K.S.; Wickramarathne, J.; Kasthurirathna, D.This paper describes the development of Personal computer based Virtual Reality home-care Physiotherapy system aimed for rehabilitating full body function in elders. VirtualPT is a true virtual reality platform where the environment is completely replaced by a virtual reality platform based on the mental condition of the person at the time. While doing the home-based prescribed physiotherapy exercises, the key health metrics are continuously monitored and tracked by combining the immersive Virtual Reality with the wearable VirtualPT Sensor kit. Virtual Reality combined with 3D motion capture lets real time movements to be accurately translated onto the virtual reality avatar that can be viewed in a virtual environment to assist physiotherapist to add exercises to the system easily. This ultimate virtual reality Physiotherapy assistant avatar is used to provide guidance to elders at home, to demonstrate and assist elders in adhering to the prescribed exercises. As a significant aspect of social interactions, mirroring of movements has been added to focus on whether the elder is able to accurately follow the movements of avatar. Furthermore, the insightful dashboard offers the elders and physiotherapists an interactive platform through virtual reality capabilities. VirtualPT physiotherapy system is cost effective and makes recovery and more convenient to elders at home while the participatory and immersive nature of Virtual Reality offers a unique realistic quality that is not generally existing in clinical-based physiotherapy. When looking at the broader concept of VirtualPT; continuity of care, integration of services, quality of life and access are equally important criteria which add more value.Publication Open Access Utalk: Sri Lankan Sign Language Converter Mobile App using Image Processing and Machine Learning(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Dissanayake, I.S.M.; Wickramanayake, P.J.; Mudunkotuwa, M.A.S; Fernando, P.W.N.Deaf and mute people face various difficulties in daily activities due to the communication barrier caused by the lack of Sign Language knowledge in the society. Many researches have attempted to mitigate this barrier using Computer Vision based techniques to interpret signs and express them in natural language, empowering deaf and mute people to communicate with hearing people easily. However, most of such researches focus only on interpreting static signs and understanding dynamic signs is not well explored. Understanding dynamic visual content (videos) and translating them into natural language is a challenging problem. Further, because of the differences in sign languages, a system developed for one sign language cannot be directly used to understand another sign language, e.g., a system developed for American Sign Language cannot be used to interpret Sri Lankan Sign Language. In this study, we develop a system called Utalk to interpret static as well as dynamic signs expressed in Sri Lankan Sign Language. The proposed system utilizes Computer Vision and Machine Learning techniques to interpret sings performed by deaf and mute people. Utalk is a mobile application, hence it is non-intrusive and cost-effective. We demonstrate the effectiveness of the our system using a newly collected dataset.Publication Embargo Towards the Development of a User-Centred Health Management Application for Elderly(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Musthafa, F.N.; Mustafa, M.B.; Tajudeen, F.P.; Ramasamy, T.S.; Sinniah, A.As the world is gearing towards an increased older adult population, the need to focus on wellness and healthy lifestyle become essential. Studies reveal evident of delaying the chronic diseases that cause serious health issues among the elderly, which is made possible by educating the elderly on healthy ageing. Mobile applications can be used as a tool to educate the elderly on health management. Hence, the focus on developing health management mobile applications has arisen among the software engineering community as well as the medical experts. Though a considerable amount of health management applications are available online, which some of it are already in use, many still find these application to be less effective and the elderly community is left behind in using them as they don't provide sufficient features preferred by the elderly. Hence, this research focuses on developing a user centered health management application exclusively for the elderly. User requirement related information was collected, and a thorough literature review was conducted with the aim of finding the preferred features needed in the application and the proof of concept prototype was developed. The developed application underwent a functional testing process, where the system performed as expected.Publication Embargo The Influence on Mobile Learning: Mobile Learning Contents, Higher Education Institutes, and Communication Technology(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Dolawattha, D.D.M.; Premadasa, S.; Jayaweera, P.M.In the present era, mobile learning has secured a better position in modern technology base learning paradigms. It surpasses other conventional learning methods because of ubiquity, mobility, attractive content, facilitated connectivity, and institutional engagements. The main objective of this study is to identify how mobile learning content, higher education institute, and communication technology factors influence learners and teachers when using sustainable mobile learning in higher education. Through the literature review, we developed three separate impact models i.e. mobile learning content, higher education institute, and communication technology with separate impact factors. We used pre and post usage survey questionnaires of 60 teachers and 60 learners to evaluate these models. Primarily, they were asked to fill the pre-usage questionnaire with their initial mobile learning experience. Then, they were allowed to use the modified Moodle mobile app and asked to fill the post-usage questionnaire. The results reveal that the most significant influencing factors are, ease of use in mobile learning content, and facilitating conditions for higher education institutes and communication technology models. Finally, we can conclude that users prefer to have easy to use mobile learning content with better service facilities in higher education institutes and communication technologies.Publication Embargo Stock Market Price Forecasting using ARIMA vs ANN; A Case study from CSE(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) G.W.R.I., Wijesinghe; R.M.K.T., RathnayakaStock market prediction or forecasting is a challenging task to predict the upcoming stock values. Stock prices are nonstationary and highly noisy because stock markets are affected by a variety of factors. Traditionally, the next lag of time series is effectively forecast by a variety of techniques like Simple Exponential Smoothing, ARIMA. In particular, ARIMA has shown its success in accuracy and precision in predicting the next time-series lags. As part of the literature, very few studies have focused on Colombo Stock Exchange (CSE) to find new predictive approaches for the forecasting of high volatility stock price indexes. Different statistical approaches and economic data strategies have been widely applied to define market price movements and trends and the trade volume levels in CSE over the last ten years. This article explores whether and how the newly developed deep learning algorithms for the projection of time series data, such as the Back Propagation Neural Network, are greater than traditional algorithms. The results show that Deep learning algorithms like BPNN outperform traditionally based algorithms like the model ARIMA. The MAE and MSE values relative to ARIMA and BPNN, which suggests BPNN 's superiority to ARIMA.Publication Embargo Smart Intelligent Advisory Agent for Farming Community(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Illandara, T.S.; De Silva, H.L.H.; Madurawala, K.S.H.; Dayasena, B.R.D.; Srimath, U.; Samaratunge Arachchillage, S.; Buddhika, T.The currently available agricultural services have few limitations because of the traditional cultivation methods and the unavailability of experts. This research attempts to solve the major problems faced by farmers using an Intelligent Expert Advisory Agent (EAA) that would act as a human counterpart to provide reliable solutions in real-time to the farmers using Machine Learning (ML), Image Processing (IP), and Internet of Things (IoT) technologies. A web application is developed to provide meaningful information to the user by representing agriculture instructors. Using the web application, the farmer can obtain information about predicted weather up to two months. Once the crop is selected, suitable organic fertilizers are suggested to maximize the productivity of the cultivation. After planting, the farmer can continuously monitor the condition of the plants in real-time using the IoT system. Based on this information, the farmer can check if the conditions are optimum for the growth of the plant by interacting with the knowledge base system. If the plants get infected with diseases, the user can capture an image of the diseased plant using the implemented mobile application and send to the IP system to identify the diseases and suggests remedies to overcome the situation.Publication Embargo Smart Backpack for Travelers(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Gunarathne, P.D.R.P.; Amarasuriya, R.M.C.I.; Wickramasinghe, W.A.D.D.; Witharana, A.H.T.N.; Abeygunawardhana, P.K.W.Smart backpack is an application-specific design which guarantees a safe journey for travelers. The smart backpack has a different combination of services connected to a single system. It has a unique design that helps to fulfill its services. The system provides the health status of travelers and environmental status by measuring the quality level of the nearby atmosphere. As a security feature, it contains a human detective sensor-based security system. As well as the research consists of an undying power resource which charges by solar cells, the power source can be used to power up the system and to recharge traveler's devices through a USB power outlet. The Backpack has a user-friendly mobile application. This system also provides a health monitoring feature, which monitors the heart rate and body temperature of the traveler. The traveler can share his/her health status with the system and compute the real-time health condition from the outputs of the health sensors integrated into the backpack. The bag model design and building play a major role and has removable unique mini compartments for all hardware components. It should carry maximum weight with minimum pressure for the back of the traveler with minimum cost.Publication Embargo Sinhala Conversational Interface for Appointment Management and Medical Advice(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Rajapakshe, D. D. S.; Kudawithana, K. N. B.; Uswatte, U. L. N. P.; Nishshanka, N. A. B. D.; Piyawardana, A. V. S.; Pulasinghe, K. N.This paper proposes an intelligent conversational user interface to assist Sinhala speaking users to make appointments with doctors and to obtain medical advices. This Sinhala Conversational Interface for Appointment Management and Medical Advice (SCI-AMMA) consists of Speech Recognition unit, Query Processing unit, Dialog Management unit, Voice Synthesizer unit, and User Information Management unit to handle user requests and maintain a meaningful dialogue. The SCI-AMMA gets the users' speech utterances and recognize the language content of it for further processing. Language content is further processed using query processing unit to identify users' intent. To fulfil the users' intent, a reply is generated from Dialogue Management Unit. This reply/answer will be delivered to the user by means of a voice synthesizer. The proposed system is successfully implemented using state of the art technology stack including Flutter, Python, Protégé and Firebase. Performance of the system is demonstrated using several sample scenarios/dialogues.Publication Embargo Secure Messaging Platform Based on Blockchain(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Ellewala, U. P.; Amarasena, W.D.H.U; Lakmali, H.V.S.; Senanayaka, L.M.K.; Senarathne, A. N.The boundaries between personal and business communications is a key issue faced by most organizations. Use of unsecured and unsafe applications in workplaces pose enormous security risks. Companies are not adequately aware about the applications that are being used in their employees' devices. When it comes to critical business communication involving exchanging trade secrets, making business referrals and strategic business decisions, protecting of messages and shared files becomes a challenge. Most publicly available communication platforms do not empower organizations to regulate, track and scale their communication and does not provide compliance with data protection frameworks, which can result in cross industry system risks. As a result, both individuals and organizations express deep concern about data security and protection of privacy when using Instant Messaging applications. Non-repudiation in communications not only conveys to the user, recognition of the communication process, but it is also a crucial way to establish a relationship of trust and to overcome trust disputes. Our primary objective, through this research, is to develop a chat application with more secure channels of enterprise level communication. Using new technologies such as blockchain, which operate on a decentralized model, we can surmount the drawbacks of traditional messaging applications, thereby ensuring confidentiality, integrity and availability of official data, along with advanced auditing features.Publication Embargo Secure Communication Using Steganography in IoT Environment(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-11-10) Amjath, M.I.M.; Senthooran, V.IoT is an emerging technology in modern world of communication. As the usage of IoT devices is increasing in day to day life, the secure data communication in IoT environment is the major challenge. Especially, small sized Single-Board Computers (SBCs) or Microcontrollers devices are widely used to transfer data with another in IoT. Due to the less processing power and storage capabilities, the data acquired from these devices must be transferred very securely in order to avoid some ethical issues. There are many cryptography approaches are applied to transfer data between IoT devices, but there are obvious chances to suspect encrypted messages by eavesdroppers. To add more secure data transfer, steganography mechanism is used to avoid the chances of suspicion as another layer of security. Based on the capabilities of IoT devices, low complexity images are used to hide the data with different hiding algorithms. In this research study, the secret data is encoded through QR code and embedded in low complexity cover images by applying image to image hiding fashion. The encoded image is sent to the receiving device via the network. The receiving device extracts the QR code from image using secret key then decoded the original data. The performance measure of the system is evaluated by the image quality parameters mainly Peak Signal to Noise Ratio (PSNR), Normalized Coefficient (NC) and Security with maintaining the quality of contemporary IoT system. Thus, the proposed method hides the precious information within an image using the properties of QR code and sending it without any suspicion to attacker and competes with the existing methods in terms of providing more secure communication between Microcontroller devices in IoT environment.