Browsing by Author "Silva, R"

Now showing 1 - 3 of 3

item: Conference-Abstract
Comparison of skills between Sri Lankan and foreign construction labour
(2021-07) Manoharan, K; Dissanayake, P; Pathirana, C; Deegahawature, D; Silva, R
Construction significantly influences a country’s economy. The labour efforts are the lifeblood of construction operations. The construction industry has been facing many challenges due to skill shortages in many countries. This study aimed to compare the work-related skills of Sri Lankan labour against foreign labour forces. A qualitative study methodology was adopted through literature reviews and expert interviews to identify the labour skills which influence the productivity of construction operations. The interviews were conducted in two categories. The first category focused on identifying significant labour skills, the second category was conducted to compare the labour skills between Sri Lankan and foreign labour. Chinese, Indian, Bangladeshi, Nepalese, Saudi Arabian, Malaysian and Korean labour forces were considered in the pair-wise comparison process. Statement categories and codes were developed to perform this qualitative comparison. The overall results show the need of developing cognitive and self-management skills of Sri Lankan labourers, where the transferable skills are not much important. The study pointed up the importance of developing technical skills of Sri Lankan labour in concreting, bar bending, plastering, tiling, welding, electrical work and equipment handling, to reach the levels of leading foreign labour forces. Labourers’ commitment, punctuality, participation, self-motivation and problem solving were the significant self-management skills in this regard. Kappa statistics resulted in the inter-rater reliability of these findings at a substantial level. The study outcomes can be helpful for the skills development authorities to take actions for filling the skills gap, and also for some foreign construction sectors in similar scenarios
item: Conference-Full-text
Real-time video enhancement using graphical processing units
(IEEE, 2018-05) Silva, R; Dasanayaka, A; Ragel, R; Chathuranga, D
In this paper, we propose a real-time video enhancing algorithm which uses the Graphical Processing Units(GPUs) for faster parallel computations. Also, the paper will discuss the performance gains with GPU respect to a Central Processing Units(CPUs). The video enhancing algorithm is written to address the real-time video enhancement scenario, hence this paper will discuss more on the speed and the quality of the video enhancement. The paper contains the discussion about the trade-off between the quality and speed of the real-timevideo enhancement. The latter part of the paper will discuss the optimizations to have real-time performance that is needed to enhance and play videos up to 4k videos. This paper proposes a generic implementation that can be used to have high-end video quality using low-end video recording devices like mass scale CCTV cameras, etc. This implementation will use NVIDIA CUDA enabled graphics cards.
item: Conference-Full-text
Visual design platform for wireless sensor network
(IEEE, 2018-05) Silva, R; Dasanayaka, A; Ragel, R; Bandaranayake, A; Chathuranga, D
Wireless Sensor Networks (WSN) are being widely used for sensing physical parameters in a broad geographical area. The person who needs WSN will have a pictorial idea of the sensor network. The problem in the traditional method is that the person who needs the WSN should explain the pictorial view of the sensor network to a commercial vendor and buy it from them or they should design it from the scratch. What we proposed in our solution is to develop a platform so that the person who needs the WSN can directly draw the pictorial view on a canvas and then it can automatically generate all the required firmware for the microcontrollers and wiring diagrams. The user is then required only to follow a few instructions to complete the real world implementation of WSNs. This paper is about developing a visual platform to design WSNs. The WSN designing platform was built as a web application, so it can manage a large number of supported sensors and microcontrollers. This means that if one user adds the device driver for any sensor or a microcontroller the other users can directly use it from the WSN design platform without worrying about hardware programming. Further, if anyone needs a new sensor or microcontroller to be supported by this visual design platform, this design tool will have interfaces to directly add new sensors and microcontrollers. The proposed method is affordable for developing custom wireless sensor networks.