Browsing by Author "De Silva, S"

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A Comparison of Fuzzy Logic Controller and PID Controller for Differential Drive Wall-Following Mobile Robot
(IEEE, 2019-12-18) Ratnayake, R. M. N. B; De Silva, S; Rodrigo, C. J
This paper presents a comparison between PID controller and Fuzzy rule based controller of a differentially steered wall following mobile robot. Four different maps, generated using Mapper3 software are used to simulate the robot in MobileSim platform. The code was implemented using C++ language in ARIA development package. The robot simulation is performed with Pioneer P3-DX robot. In this study, the data was collected for each cases such as: left wall following and right wall following. In order to validate the results, maximum of 40 runs were conducted for each map and the results were compared with the illustrated methods.
Open Access
Semi-Automated Spice Packaging Machine for Middle Scale Business in Sri Lanka
(SLIIT, 2022-02-11) Jayasuriya, A; Perera, R; Thihara, I; De Silva, S
In Sri Lanka, small scale spice packaging businesses use traditional methods while middle scale spice packaging businesses use separate machineries for each individual tasks such as weighing, filling, and sealing processes. Comparatively, considering the higher demand for large-scale spice products in the market, they use highly expensive, technically improved, automated machinery. According to the researches and the site visits, it is observed that currently, there is no affordable packaging machine available in the local market for middle scale businessmen, which includes all weighing, filling and sealing processes in a single system. Therefore, it limits their profits and production. The current used methods in middle scale businesses cause high wastage of raw materials, less accuracy, less hygienic, higher labor costs, and low efficiency. This project proposes a semi-automated, Arduino based machinery for middle scale spice packaging business where a packet is fed manually to the system, while weighing, filling, and sealing processes are automated and sequentially completed. The operation of this machine can be carried out with an involvement of a single laborer. The designed product is pneumatic based and uses some sensors for position, weighing and level detection, heating element, stepper motors, pneumatic system components for smooth operation and Arduino as the micro controller to make it cost effective. With this innovative structure, three packets can be filled and sealed within fifteen seconds while the current used method takes fifteen seconds to complete this process for a single packet. Cost and time effectiveness, reducing ingredient wastage and labor cost are the main advantages of this project. Due to the COVID-19 health restrictions, the hardware implementation is partially completed but to illustrate the working principle and the design plan, a 3D animated model was implemented using SolidWorks, incorporated with electrical stimulation in the Proteus software package.
Open Access
Smart Health Monitoring System
(SLIIT, Faculty of Engineering, 2024-03) Gajanayake, G. M. T. S.; Ekanayake, W. E. M. K. D. D; Malinda, G. D. C.; Malasinghe, L; De Silva, S
Due to the high inpatient population in hospitals, regular monitoring of inpatients' vital signs is currently a practical concern. As a solution, our proposed system manages the continuous analysis of the vital signs of every inpatient in the general wards, and informs medical professionals in any location at any time about their inpatients' current states in real-time to improve inpatients' health. The suggested system consists of the following arrangements; arrangement for acquiring health readings, identifying the on-duty reported doctors in charge of wards, arrangement for health data exhibiting unit, fall detection, and ECG acquisition. In addition to these arrangements, a website, and an android mobile application were designed to publish measured inpatient vital signs. This proposed product is both novel and different from the existent products because, it comprises of collective arrangements, and is developed in order to assess hospital wards’ inpatients, whereas other systems are designed for remote health monitoring of patients at home. This paper describes the system that was developed and tested successfully.
Embargo
Supply and Demand Planning of Electricity Power: A Comprehensive Solution
(IEEE, 2019-12-06) Perera, S; Dissanayake, S; Fernando, D; De Silva, S; Rankothge, W
Electrical energy is one of the fastest growing energy demands in the world. Uncertainty in supplying the demand can threaten the social economic aspects of a country. The biggest driver of electrical demand is weather. Climatic changes not only affect the demand but also renewable energy supply. Wind and Solar are two alternative energy sources with less pollution. We have proposed a platform which helps energy providers, energy traders with services related to electricity supply and demand planning, with following modules. (1) Forecasting electricity consumption patterns (2) Forecasting wind power generation (3) Optimizing Load Shedding. Our platform has been implemented using statistical and machine learning techniques: Multi-Linear Regression for consumption prediction, Random forest regression for wind power forecast, and genetic algorithm to optimize load shedding. Our results show that, using our proposed module, we can minimize the imbalance between the supply and demand of electricity by predicting the consumption patterns of consumers, predicting the wind power generation and by selecting the best feeder to be selected for load shedding under given constraints.