Books / Book Chapters
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Publication Embargo HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection(John Wiley & Sons, Inc., 2021-04-06) Jayakody, A; Edirisinghe, E. A. G. A; Lokuliyana, SThe Hemoglobin concentration in human blood is an important substance to health condition determination. With the results which are obtained from Hemoglobin test, a condition which is called as Anemia (a low level of Hemoglobin) can be revealed. Traditionally the Hemoglobin test is done using blood samples which are taken using needles. The non-invasive Hemoglobin level detection system, discussed in this paper, describes a better idea about the hemoglobin concentration in the human blood. The images of the fingertip of the different hemoglobin level patients which is taken using a camera is used to develop the neural network-based algorithm. The pre-mentioned algorithm is used in the developed non-invasive device to display the Hemoglobin level. Before doing the above procedure, an account is created in the mobile app and a questionnaire is given to answer by the patient. Finally, both the results which are obtained from the mobile app and the device are run through a machine learning algorithm to get the final output. According to the final result patient would be able to detect anemia at an early stage.Publication Embargo iParking—Smart Way to Automate the Management of the Parking System for a Smart City(John Wiley & Sons, Inc., 2021-04-06) Jayakody, A; Edirisinghe, E. A. G. A; Karunanayaka, S. A. H. M; Ekanayake, E. M. C. S; Dikkumbura, H. K. T. M; Bandara, L. A. I. MDue to the highest usage of vehicles which occurs with developing economy and the improved city modernization level, traffic congestion and parking have become one of the main social problems. Despite the progress, there is still a need for an enhanced and distributed solution that can exploit data and provide an appropriate and real-time method on parking systems. This paper describes the design and implementation of a smart parking management system (SPMS) which can solve the previously mentioned parking problem. Huge traffic causes a considerable deal of damage, like the increment of accidents, the air pollution caused by a substantial amount of CO2 released by vehicles, and the unnecessary stress on drivers who must drive in often narrow and very busy roads and time wastage to find a free spot to park. Thus, to take care of the parking issue, present day advances have been made to furnish vehicle parks with smart devices that help street clients to identify the nearest available car park. In this paper, the development of the new fully automated parking system which is called iParking is presented. IParking is a design and a development of a smart parking system that will ensure the implementation of the outdoor parking system for the Smart City concept by using image processing (IP) and machine learning (ML). With connected to smart parking, a mobile app alerts the user about available spaces and guide user to the exact location with accuracy. IParking system aims to take the driver’s stress out while finding a parking space in city centers where all cars in the city are looking for parking slots in the same time.