Faculty of Computing
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Publication Embargo Singlish Sentiment Analysis Based Rating For Public Transportation(IEEE, 2021-01-27) Sharounthan, B; Nawinna, D. P; De Silva, RAs the primary transportation mode in Sri Lanka, Public transportation is tightly attached with the daily life of the people. The important factor in transportation is providing a door to door mobility. This paper presents a study focused on measuring the service quality of public transportation based on the comments and feedbacks provided by the passengers with the aim of producing a better service for users. Comments were gained from social media and were used to produce a comprehensive rating mechanism to rate the transportation service providers. This tool was developed using natural language processing techniques using the data from the Sri Lankan context. With the popularity of Social Media in Sri Lanka, many people use Singlish (Sinhala written using English scripts) for online communication. The rating engine presented in this paper is capable of performing Sentiment analysis on comments given in Singlish Language in the Transportation domain.Publication Embargo VEHlA: Safety enhancement of non-premium vehicle assisting system for personal vehicle users(IEEE, 2021-01-20) Manamperi, V; Liyaarachchi, K; Samaranayake, S; Fernando, V; Abeygunawardhana, P. K. W; De Silva, R“Vehia” is a personal vehicle driving assistant which renders a massive support to the driver while drive the vehicle. As it is already known that, humans have great relationship with the automobiles since the innovation of the first wheel in stone age era. As a result of the development of the technology many vehicle manufacturing industries were established. In current society, there are many modern cars with tremendous features in it like, Mercedes, BMW, Audi, Tesla etc. Those cars are highly technical and even higher in price. Majority of the people are not affordable on buying those vehicles since the middle range vehicles are not capable of much features like, visualizing performance, driver safety etc. “Vehia” is a device with a multi-informative display which can easily connect to the vehicle that supports the driver in many ways. This device is basically reducing the discrimination of high-tech cars and the middle range cars. So, it provisions utmost same feeling which can gain by an advanced high price car to the driver via a middle range vehicle. This device increases the driver safety by various features like giving alerts and consists with a smartphone based mobile application to interconnect with the mechanics in case of troubleshooting.Publication Embargo Ai based greenhouse farming support system with robotic monitoring(IEEE, 2020-11-16) Fernando, S; Nethmi, R; Silva, A; Perera, A; De Silva, R; Abeygunawardhana, P. K. WGreenhouses plays a major role in today's agriculture since farmers can grow plants under controlled climatic conditions and can optimize production. The greenhouses are usually built in areas where the climatic conditions for the growth of plants are not optimal so requires some artificial setups to bring about productivity. Automating process of a greenhouse requires monitoring and controlling of the climatic parameters. This paper is an attempt to minimize the cost of maintaining greenhouse environments using new technologies. The end goal of this research an automated system to optimally monitor and control the environmental factors inside greenhouse by monitoring temperature, soil moisture, humidity and pH through a cloud connected mobile robot which can detect unhealthy plants using image processing and machine learning. The mobile robot navigates through a predefined map of greenhouse. Database server has created to store gathered real-time data. And the necessary accurate data represent by using proper application for analyzing.Publication Embargo Intelligent disease detection system for greenhouse with a robotic monitoring system(IEEE, 2020-12-10) Fernando, S; Nethmi, R; Silva, A; Perera, A; De Silva, R; Abeygunawardhana, P. K. WGreenhouse farming plays a significant role in the agricultural industry because of its controlled climatic features. Recent examinations have stated that the mean creation of the yields under greenhouses is lessening due to disease events in the plants. These foods have become an imposing undertaking because these plants are being assaulted by different bacterial diseases, micro-organisms, and pests. The chemicals are applied to the plants intermittently without thinking about the necessity of each plant. Several problems have occurred in the greenhouse environment due to these causes. Therefore, there is a huge necessity for a system to detect diseases at an early stage. This research focused on designing a system to detect disease, which causes yellowish in greenhouse plants. Plant yellowing can be considered a significant problem of plants that grow under greenhouse-controlled environments. Through this research is focused on the most important and one of the most attention-grabbing crop tomato. There are specific diseases that cause yellowish the tomato plant, and they have been identified. The techniques utilized for early recognition of infection are image processing, machine learning, and deep learning.Publication Embargo Autonomous cloud robotic system for smart agriculture(IEEE, 2019-07-03) Dharmasena, T; De Silva, R; Abhayasingha, N; Abeygunawardhana, P. W. KAgriculture sector occupies 25.9% of the world employment. The demand for food production is rapidly increasing with the increase of world population. Developing the existing agricultural infrastructure by incorporating modern technologies will help to match this increasing demand. This paper proposes a automated system to optimally control the climate and irrigation in a greenhouse by monitoring temperature, soil moisture, humidity and pH through a cloud connected mobile robot which can detect the unhealthy plants using image processing. A fuzzy controller will control the heating and cooling system, irrigation system and humidifiers installed in the greenhouse based on the sensor readings. The mobile robot navigates through a predefined map of the greenhouse and collect soil samples to perform measurements while onboard sensors will collect the ambient climate data. A camera mounted on the mobile robot will capture the plant and detect unhealthy crops based on the colour and the texture of the leaves.Publication Embargo Modeling Vision Utility for Side-by-Side Navigation of Robot-Human Pairs(IEEE, 2019-10-17) Jayawardena, C; Kehelella, P; De Silva, RSide-by-side robot navigation has significant direct benefits; especially when robotic wheelchairs are used. In addition to navigation issues faced by any mobile robot, side-by-side navigation has some other challenges as well. Maintaining side-by-side formation, avoiding collisions with minimal disturbance to the side-by-side formation, and maintaining the optimal social relationship are some of those challenges. This paper presents a novel decision making model for human-robot side by side navigation. The development of the model was based on observations of real-world human behaviour and data collections done through a user study. The developed model was calibrated and tested using a simulator as-well-as a laboratory experiment.