Browsing by Author "Mendis, S"

Now showing 1 - 4 of 4

Embargo
Career Aura–Smart Resume and Employment Recommender
(IEEE, 2021-12-09) Dissanayake, K; Mendis, S; Subasinghe, R; Geethanjana, D; Lunugalage, D; Kasthurirathna, D
Recruitment and Job seeking are two major factors that are directly proportional to each other. Due to the competitive nature of the present world, the process of acquiring the best resource effectively and efficiently has become a challenging aspect for the companies. As a result, modern job portals have become increasingly popular to address the challenges identified in the early recruitment and job search process. The purpose of this research is to introduce an optimal solution to address the ineffective areas identified in the job and recruitment domain which can further enhance the recruitment and job seeking decisions by utilizing deep learning and sentiment analytic approach along with descriptive analysis. The proposed system recommends the relevant job opportunities by omitting the irrelevant job advertisements for job hunters who are interested in the IT job domain while they input their resume to the system and additionally, they can improve their career decisions by adhering to the prediction schemes. Moreover, the system facilitates recruiters to headhunt top talents efficiently once they input job requirements to the system and candidate suggestions are not only made depending on their resume information but also analyzing their LinkedIn endorsements.
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.
Open Access
Investigating applicability of sawdust and retro-reflective materials as external wall insulation under tropical climatic conditions
(Springer link, 2022-04-19) Dharmasena, P; Meddage, D. P. P; Mendis, S
Buildings require energy to maintain their performance. In consequence, built environments cause a surge in the world’s energy demand. Providing passive measures is an efective method of optimizing operational energy usage. In this study, we propose insulation materials (thermal barrier type and resistive insulation) for the walls of a building. Experiments were performed on small-scale physical models constructed with; (a) no insulation, (b) sawdust–cement mortar, and (c) retrorefective (RR) material for external walls. In addition, regression models were developed to predict indoor air temperature with insulation. Subsequently, associated operational energy-saving and decrease in emissions were estimated for each material. The comparison reveals RR (sawdust–cement mortar) is efective in warm (overcast) climatic conditions. Developed regression models have shown a good agreement with experimental results (R>0.8). Moreover, sawdust–cement mortar (RR) materials contributed a 9% (13.4%) reduction in operational energy and a 9% (13.3%) decrease in CO2 emissions. The project highlights the potential to utilize sawdust—a waste material—and RR material as wall insulation to decrease intense operational energy demand.
Embargo
Web based programming tool with speech recognition for visually impaired users
(IEEE, 2017-12-06) Lunuwilage, K; Abeysekara, S; Witharama, L; Mendis, S; Thelijjagoda, S
Today programming requires to be able to code textually, but it also requires to be visual. Therefore, both of these have left visually impaired users in a very difficult position when it comes for learning and applying programming. There are tools that enable visually impaired users to use computers, but none of them has been specialized to aid the visually impaired users in various programming issues. The aim of this project is to develop a web application, especially for visually impaired people to facilitate to learn programming concepts. Designed solution is an application, based on speech recognition, semantic analysis, user interaction, and braille engine, which can use as a smart programming tool for visually impaired and differently abled people. It's a method of implementing a new way to help and motivate disable people, to use latest technologies in Information Technology and software engineering aspects. Here, researchers are focusing on Java language because it is considered as simple rather than other languages that programmers use today. This research helps to all visually impaired people, who are interested in coding, by teaching programming concepts and empower them to achieve the best future by giving programming theories simply with coding examples. Guide the user gradually by giving voice commands what to do next, and what can you try out according to their skills. It is expected to address the research gap in code generation according to voice commands.