Browsing by Author "Senanayake, D.D.B."

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    Active and Passive Safety System for Differently Abled People and Adults
    (Uva Wellassa University of Sri Lanka, 2020) Senanayake, D.D.B.; Kumari, K.W.S.N; Thevathyaraj, T.
    15% of the world population encompasses the differently-abled community of a diversified range. It is a vivid fact that enough attention is not being paid towards the differently-abled ones who are residing within the residence, such where the guardian is not available. Hence research was conducted to produce a developed asset that supports in detecting and generating a signal during where the utmost care and attention are required. The developed asset is carried out as an oriented scenario of assistive technology being supported by video and image processing. The potential study in this regard is almost a success and improvements can be done by adding some advanced features such as facial expression detection system and emergency alert on the health care provider. Keywords: Safety system, Differently abled safety, Adults safety, Assistive technology
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    Optimal Helix Angle and Channel Depth of Single-Screw Extruder for PLA Extrusion Using Finite Element Analysis
    (Uva Wellassa University of Sri Lanka, 2021) Senanayake, D.D.B.; Ekanayake, R.M.T.C.B.
    Extrusion is a process that the cross-section area of a billet is reduced by forcing it to flow through a die with a certain shape with high pressure. Different types of extruders are used with several materials in extrusion processes. Obtaining the product without defects, energy efficiency is some major considerations of the extrusion process and process optimizations are conducting for better extrusions. Among all the extruder types, single screw extruders play a major role due to low cost, easiness of manufacture and maintenance, and parts resistance to abuse. Screw speed, taper angle, channel depth, helix angle, pitch are some of the parameters related to screw and which can affect the extrusion process. Scholars have studied the effect of the metallurgical properties of the material, friction factors, and flow indexes of materials, screw speeds, and taper angles. The effect of the channel depth and helix angle should be considered in material extrusion process optimization. This study carried out the relationship between channel depth and helix angle within extrusion, optimal helix angle, channel depth for the PLA polymer extrusion process and variation of pressure gradient of extruder with channel depth and helix angle was studied using the finite element analysis methods. PLA polymers with different MFI values used for analysis in Abaqus. This study suggests the optimal helix angle and channel depth for PLA extrusion to obtain maximum flow with a high- pressure gradient. Keywords: Single-Screw extruder; Helix angle; Channel Depth; Extrusion Optimization
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    Semi-Automated Weeds Identification and Watering System Using Machine Learning: Based on Cabbage Crops
    (Uva Wellassa University of Sri Lanka, 2021) Senanayake, D.D.B.; Ekanayake, R.M.T.C.B.
    Fast-growing novel technologies influencing the world's different industries with innovative solutions for the issues arising to simplify the human workload and to avoid time consumption. In the Sri Lankan context usage of novel technology in the agricultural industry is not at a satisfactory level and weeds can be identified as a major problem agricultural field. Manual weed identification and removal methods are still using and it needs a lot of human workload and time. This Semi- Automated system was developed for plant and weeds identification and watering the crops using machine vision and machine learning technologies. Raspberry pi model B+ was used as the controller with camera and python with OpenCV is used for programming. This system was developed based on the cabbage crops and Bayesian classification and Mahalanobis distance for non- diagonal classification was used for recognition of plants. The plant watering mechanism works on the identification of plants this is an autonomous mechanism. This robotic system can be controlled through Bluetooth and it is able to ride through different field conditions. 85% of accuracy in the identification of plants and weeds is achieved in conducted trial runs using this system. Implementation of the system will enhance crop cultivation and cost, time reduction of the farmers in Sri Lanka. The system is successful in the trial runs and it will develop with the robotic arm for weeds removal in the future with this identification. Results manifest that farmer can use this system for their crop cultivation as an effective method in Sri Lanka. Key words: Artificial Intelligence; Machine learning technologies; Watering; Plantation; Weeds Management