Browsing by Author "Fernando, PR"

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    Biss a - a scalable and distributed tuple space
    (Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa., 2010-09) Wickramarachchi, CD; Sumanasena, D; Fernando, PR; Wckramasinghe, US; Dias, G; Perera, S; Weerawarana, S; Gunasekara, C; Wijegunawardana, P; Pavalanathan, U
    The idea of tuple spaces is based on the whiteboard design pattern & made its first appearance in the late 1980s. Tuple space provides content addressed associative shared memory abstraction for the processors accessing it. Tuple spaces can be used to time and space decoupled communication between the processes. In our work, we have implemented a distributed and scalable tuple space middleware infrastructure called BISSA that can be used for decoupled communication between applications. The BISSA application scope span from browser based applications to java applications. This capability is given by two major implementations; a distributed hash table (DHT) based peer to peer tuple space implementation and a web browser based tuple space implementation. In this paper we present and discuses our implementation methodology, test results and possible applications of the middleware.
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    Mathematical model to measure energy absorption of sports bra
    (IEEE, 2023-11-09) Liyanage, PL; Prasanga, VSH; Niles, SN; Jayawardena, TSS; Fernando, EASK; Fernando, PR; Abeysooriya, R; Adikariwattage, V; Hemachandra, K
    Measuring the shock absorbency level of sports garments is crucial to ensure support and stability during exercise. It allows for the evaluation of the garment's ability to absorb impact and reduce the risk of injuries during high-impact sports activities. Measuring shock absorbency ensures the bra offers compression, encapsulation, and structural support, preventing excessive breast movement and potential injuries. It also helps to make predictions for the sports garment production process and helps to minimize the pain of the athletes during sports activities. The test method involves using a motion capture camera system to analyze the breast displacement level during physical activity, with the sports bra worn by a physical model. Here in this study sensor system is used to gather the displacement, velocity and acceleration data of certain points and created a new artificial model to measure the absorbency level of sports garments and to collect data during physical activities.Analysing breast displacement data creates a mathematical model that predicts material and design before sample preparation. This study helps design and choose sports bras for different activities. This research developed a test technique and mathematical model to quantify sports bra shock absorbency to address cost, accuracy, and complexity.