Browsing by Author "Gamage, S"

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Open Access
Influence of Crumb Rubber and Coconut Coir on Strength and Durability Characteristics of Interlocking Paving Blocks
(MDPI, 2022-07-13) Gamage, S; Palitha, S; Meddage, D. P. P; Mendis, S; Azamathulla, H. M; Rathnayake, U
Interlocking Paving Blocks (IPB) are, nowadays, a widely used construction material. As a result of the surge in demand for IPBs, alternative materials have been investigated to be used for IPBs. This study investigated the strength and durability characteristics (compressive strength, split tensile strength, density, water absorption, skid resistance, and abrasion resistance) of IPBs in the presence of (waste materials) crumb rubber (CR) and coconut coir fibers (CCF). Both compressive and split tensile strength increased in the presence of CCF to a certain extent. CR-based IPBs showcased an increase in skid resistance that satisfied both SLS 1425 and BS EN 1338 specifications. Abrasion depths of CR-based and CCF-based samples show a comparable increase in values when the respective fraction (CR or CCF) increases. Therefore, this research fills the knowledge gap, highlighting the importance of incorporating waste materials (CR and CCF) for the IPB industry rather than open dumping.
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Intelligent Wheelchair with Emotion Analysis and Voice Recognition
(IEEE, 2022-12-26) Perera, S; Gamage, S; Weerasinghe, C; Jayawardena, C; Pathinayake, K; Rajapaksha, S
Intelligent wheelchairs are becoming more and more prevalent in contemporary life, and the peaceful interaction of humans with wheelchairs is one of the most popular research topics. The development of a voice recognition and emotion recognition based intelligent wheelchair framework is being addressed here for truly impaired/disabled people who are unable to operate the wheelchair by hand. The patient can operate the wheelchair using voice commands, and the wheelchair’s Emotion Analysis module recognizes the patient’s face and records the patient’s emotions before sending the information to a cell phone application. A portion of the intelligent wheelchair is made to gather crucial information given by other units and send out emergency calls or notifications to the caregivers. Face recognition technology uses image processing to identify facial expressions by detecting the patient’s face and facial expressions. This helps the other components collect and send data via Internet of Things technologies. Speech – to –Text and Text – to-Speech Methodology is used in the voice recognition module and it captures the voice command data set and extracts the features of the commands.The model is already built and trained to recognize the commands and to send action request to the relevant unit.The Responsive AI auto starts the timer when the patient moves away from the wheelchair, recognizes time and responses back. This unit auto also sends the alert and calls to the guardian when the user has no response.
Open Access
Predicting adhesion strength of micropatterned surfaces using gradient boosting models and explainable artificial intelligence visualizations
(Elsevier, 2023-06-27) Ekanayake, I.U; Palitha, S; Gamage, S; Meddage, D.P.P.; Wijesooriya, K; Mohotti, D
Fibrillar dry adhesives are widely used due to their effectiveness in air and vacuum conditions. However, their performance depends on various factors. Previous studies have proposed analytical methods to predict adhesion strength on micro-patterned surfaces. However, the method lacks interpretation on which parameters are critical. This research utilizes gradient-boosting machine learning (ML) algorithms to accurately predict adhesion strength. Additionally, explainable machine learning (XML) methods are employed to interpret the underlying reasoning behind the predictions. The analysis demonstrates that gradient boosting models achieve a high correlation coefficient (R > 0.95) in accurately predicting pull-off force on micro-patterned surfaces. The use of XML methods provides insights into the importance of features, their interactions, and their contributions to specific predictions. This novel, explainable, and data-driven approach holds potential for real-time applications, aiding in the identification of critical features that govern the performance of fibrillar adhesives. Furthermore, it improves end-users’ confidence by offering human-comprehensible explanations and facilitates understanding among non-technical audiences
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The digital bridge: how digital transformation mediates the innovative culture-resilience nexus in IT firms
(Emerald Publishing, 2025) Kodithuwakku, T; Samaraweera, I; Mathew, M; Samarakkody, T; Thelijjagoda, S; Gamage, S
Purpose – This study aims to identify the impact of innovative culture on organizational resilience in the Sri Lankan information technology (IT) sector, with a specific focus on the mediation role of digital transformation. Design/methodology/approach – Using a quantitative approach, data were collected from over 274 participants who were managerial or above-level employees in the IT industry via surveys. Partial least squares structural equation modeling was used to analyze the data and test the hypothesized relationships between variables. Findings – The findings of this study revealed that innovative culture has a significant positive impact on the adoption of digital transformation, as the innovative mindset that is ingrained encourages continuous growth, creativity and risk-taking, thereby strengthening digital transformation initiatives. Both innovative culture and digital transformation have a significant positive impact on organizational resilience. Digital transformation significantly mediates the effect of innovative culture on organizational resilience. Practical implications – The findings offer valuable guidance to industry leaders and policymakers for the strategic utilization of technology and the design of appropriate business models. Originality/value – This study emphasizes the importance of developing innovative culture and digital transformation in the IT industry to ensure sustainable business processes.