Browsing by Author "Rajapaksha, U.U.S"

Now showing 1 - 5 of 5

Embargo
IoT Based Smart Pillow for Improved Sleep Experience
(IEEE, 2022-12-09) Ravishani, W.M.S; Ganepola, G.A.S; .Silva, E.D.M; Chamodi Jayanika, G.H.G.; Rajapaksha, U.U.S; Swarnakantha, N.H.P.R.S
Maintaining appropriate health by avoiding illnesses brought on by stress, heart disease, stroke, insomnia, and hormonal imbalance is made possible by managing the quality of sleep necessary for brain and memory-related tasks. In order to reduce these phenomena, we concentrated on recognizing them and developing strategies to do so. As a result, we decided to use smart pillows and bands that are Internet of Things (IoT)-based. To connect the touch sensor and relay module for improving sleep quality with the help of an automatic alarm system and light treatment system, an ESP-32 (microcontroller) was built into the pillow. The band will also have a second ESP 32 that can be connected to an oximeter, gyro, and accelerometer to improve the sleepwalk alert and health monitoring systems’ accuracy. The mobile application will also be created so that the patient and the doctor may review the patient’s sleeping patterns, and the CNN-based deep learning architecture was used to develop the emotion recognition function that uses music to improve sleep quality. For a better sleep experience, we will refer to the smart band and pillow as ”MAGICAL PILLOW” and ”MAGICAL BAND” as the ultimate products.
Embargo
Plant Suggestion and Monitoring Robot
(IEEE, 2022-12-09) Karunarathna, R.M.N.P; Senadeera, T D D; Sumesh Ranka, M B; Gunasinghe, D V R; Rajapaksha, U.U.S; Harshanath, S.M.B.
The goal of all agricultural production is to produce goods economically and efficiently while using the fewest resources possible. Nonetheless, agriculture’s return on investment has been steadily declining. This study combines several approaches in the form of a multipurpose robot to improve the precision of agricultural decision-making. Four novel features of the robot are revealed. An advanced autonomous navigation system based on the well-established Turtle-bot architecture, innovative environmental monitoring, and analysis tool for detecting any unexpected changes in the environment, and An environmental and soil monitoring and visualization tool would be used to maintain equal strands throughout the entire cultivation area. A program that monitors the land’s environmental and soil conditions and generates intelligent crop recommendations for the initial phase of cultivation. The robot as a whole is designed to support cultivation from the starting phase to well-established cultivation in an efficient manner.
Embargo
Smart UML - Assignment Management Tool for UML Diagrams
(IEEE, 2022-12-09) Weerasinghe, D.N.H; Thiwanka, K.A.T; Jayasith, H.B.C; Onella Natalie, P.A.D; Rajapaksha, U.U.S; Karunasena, A
The great majority of manual processes have been automated in the current day. Nonetheless, there is no reliable approach for evaluating UML diagrams for plagiarism and correctness. Unified Modeling Language (UML) provides the basis for UML diagrams. UML Diagrams are typically used to graphically express a system’s stakeholders, activities, objects, and classes to get a deep knowledge of a particular system. UML diagrams are widely used by industry experts as well as beginners. Class diagrams and use case diagrams are the most commonly used diagrams in UML. Though most Computer science-related students get assessed in UML modelling, diagram plagiarism isn’t considered in most exams since it’s a tedious task to perform. The proposed system automates capturing details in UML diagram components and generating a model answer from the given question scenario to compare the diagrams and calculate the plagiarism percentage with the correction percentage.
Embargo
A Surveillance System Controlling Covid-19 in Office Environments
(IEEE, 2022-12-09) Bandara, P A D; Perera, P D D S; Perera, N P D D D; De Silva, P. N.; Kasthuriarachchi, S; Rajapaksha, U.U.S
COVID-19 is one of the pandemic diseases that has hit the world including Sri Lanka. He has a virus that became the target of bids to stop its spread. Including the implementation of health protocols, to provide information about the spread of the virus emergency response, detection services for suspicious persons infected with the virus, and programs to contain the spread of the virus ensuring that the whole of Sri Lanka gets vaccinated. Here, the research focuses on the minimal spread of the face mask in the office environment an identification system that uses a deep learning model that prioritizes object recognition for the identification of employees who wear a face mask and detects social distancing and crowd gathering, if any if there is a violation, it will inform via a voice notification. Loss of Smell after the next component. One person can use one disposable card to check the smell of sniffing. Each disposable card has QR codes, and all QR codes are encrypted by adding data. The user scans the QR code on their ticket and then scratches off and smelled the smelling area and selected the corresponding scent on the disposable card. Employee company attendance is a proposed automated attendance system using facial recognition. Because it requires minimal human influence and offers a high level of accuracy and marking employee attendance and employee body temperature measurement, facial recognition will appear to be a practical option. This system aims to provide a high level of protection. Automated Attendance systems that detect and recognize are safe, fast, and time-consuming savings. This technique can also be used to identify an unknown person.
Embargo
Train a Robot to Climb Staircase Using Vision-Base System
(Institute of Electrical and Electronics Engineers, 2022-09-16) Jayawardana, J.T.H.; Dilshan, H.V.V; Wijethilaka, R.G.K.H; Balasooriya, T.D; Rajapaksha, U.U.S; Harshanath, S.M.B.; Jayawardena, C
Currently, robots are used for different types of work, such as the manufacturing industry, healthcare, and the hotel industry. According to the current epidemic situation, the usage of robots was increased because of the need to reduce human interaction. As a result, they have to walk around the workplace, because of that, they may have to climb staircases. The world has many types of robots. Here the selected robot is a humanoid. This proposal is concerned with how to detect the staircase, count steps, get dimensions of it, and move the robot on it by keeping body balance. First, want to know what the objects are, then walk. The identified images from the image sensors will get as input. The technology stack that is used for image analysis is a method related to computer vision in deep learning. Other than that, while climbing the stairs robot needs to identify whether the staircase is over or not. Here we introduce a new concept: get the number of steps required to climb before climbing the stairs. It is related to how humans identify things by seeing and making decisions. The need to take the dimensions of the stairs is that when considering the stairs, they have their height, width, and range. Therefore, it is imperative to calculate the dimensions of each staircase separately. Creating a balance system similar to human balance is a great advantage in robotics. To implement such a system, there is an upright pose controller to allow the robot to walk stably by preventing tilting of the robot during walking on uneven floor. In general, for us to do that we need to calculate the global inclination of the floor is a key factor. It can be measured with a 2-axis accelerator meter, and it is installed in the inertial sensor.