Journals and Magazines: Recent submissions

Now showing items 201-220 of 1745

Vision-based performance analysis of an active microfluidic droplet generation system using droplet images

Mudugamuwa, A; Hettiarachchi, S; Melroy, G; Dodampegama, S; Konara, M; Roshan, U; Amarasinghe, R; Jayathilaka, D; Wang, P

This paper discusses an active droplet generation system, and the presented droplet generator successfully performs droplet generation using two fluid phases: continuous phase fluid and dispersed phase fluid. The performance ...
A robotic platform for aircraft composite structure inspection using thermography

Samarathunga, AI; Piyasundara, N; Wanigasooriya, AI; Kumara, BS; Vithanage, VP; Chathuranga, DS [Article-Full-text]

Water ingression is a critical issue in honeycomb composite structures, which could result in catastrophic structural failure. In the aviation industry, they are widely used to manufacture critical aircraft structural ...
An analytical approach to predict cohesion and interfacial failures of CFRP/steel composites under prolonged exposure to aqueous solutions

Perera, UND; Arachchi, KADYT. K; Gamage, JCPH [Article-Full-text]

The long-term performance of Carbon Fibre Reinforced Polymer (CFRP) strengthened steel joint under prolonged exposure to moisture conditions is imperative in the applications of structures exposed to groundwater or ...
Fire performance analyses of modular wall panel designs with loadbearing SHS columns

Perera, D; Upasiri, IR; Poologanathan, K; Perampalam, G; O’Grady, K; Rezazadeh, M; Rajanayagam, H; Hewavitharana, T [Article-Full-text]

Modular Building Systems (MBS) are still in the phase of developing its popularity in the industry, with emerging novel designs. Initially, MBS walls and floors had been highly influenced by the Light-gauge Steel Frame ...
Evaluating the network of stakeholders in Multi-Hazard Early Warning Systems for multiple hazards amidst biological outbreaks: Sri Lanka as a case in point

Jayasekara, R; Siriwardana, C; Amaratunga, D; Haigh, R [Article-Full-text]

Synergized impacts of simultaneous hazards amidst COVID-19 have called for the need for highly collaborative multi-sectoral approaches for disaster preparedness planning. In such a context, this study aims at evaluating ...
An assessment of structural measures for risk reduction of hydrometeorological disasters in Sri Lanka

Ginige, K; Mendis, K; Thayaparan, M [Article-Full-text]

Sri Lanka has a high incidence of natural hazards with hydrometeorological hazards being the most prevalent. Despite the fact that structural measures such as flood walls and embankments play a vital role in disaster ...
Child emotional and behavioral difficulties and parent stress during COVID-19 lockdown in Sri Lankan families

Athapathu, A; Navaratnam, D; Doluweera, M; Liyanage, G [Article-Full-text]

Introduction Understanding parents’ and children’s mental health issues would help design population-specific intervention programs. The present study explored parents’ perceived stress and child emotions and behavior ...
The impact of visual complexity on perceived safety and comfort of the users: A study on urban streetscape of Sri Lanka

Kawshalya, LWG; Weerasinghe, UGD; Chandrasekara, DP [Article-Full-text]

Increase in the variety of development in urban context has made it more complicated and complex for the users of public spaces. Absence of sufficient information to read the surrounding causes psychological anxiousness ...
Distributed demand response management for a virtually connected community with solar power

Pathiravasam, C; Venayagamorthy, GK [Article-Full-text]

With the high proliferation of solar power, curtailments and higher capacity reserves are required for a reliable power system operation. However, system operators can tap into demand exibility to maintain reliability ...
Eye gaze estimation: A survey on deep learning-based approaches

Pathirana, P; Senarath, S; Meedeniya, D; Jayarathna, S [Article-Full-text]

Human gaze estimation plays a major role in many applications in human-computer interaction and computer vision by identifying the users’ point-of-interest. The revolutionary developments of deep learning have captured ...
Performance management of contractor’s quantity surveyors through the use of proper documents and records

Nisansala, MK; Shandraseharan, A; Perera, K; Disaratna, V [Article-Full-text]

Errors in construction documents and records can have serious impacts on construction projects. These impacts are manifested mostly during the construction and post-construction stages of the projects. The errors in ...
Analyses of structural robustness of prefabricated modular buildings: A case study on mid-rise building configurationm

Munmulla, T; Navaratnam, S; Thamboo, J; Ponnampalam, T; Damruwan, H-GH; Tsavdaridis, KD; Zhang, G [Article-Full-text]

The limited knowledge of the behaviour of modular buildings subjected to different loading scenarios and thereby lack of design guidelines hinder the growth of modular construction practices despite its widespread benefits. ...
Application of computer vision for construction progress monitoring: a qualitative investigation

Moragane, HPMNLB; Perera, BAKS; Palihakkara, AD [Article-Full-text]

Progress monitoring of construction work is crucial to identify the discrepancies between the as-built product and as-planned design and take necessary action based on the results. Construction work is time consuming and ...
Generative design of stable semiconductor materials using deep learning and density functional theory

Siriwardane, EMD; Zhao, Y; Perera, I; Hu, J [Article-Full-text]

Semiconductor device technology has greatly developed in complexity since discovering the bipolar transistor. In this work, we developed a computational pipeline to discover stable semiconductors by combining generative ...
Implementation of government policies in the construction industry: The case of Sri Lanka

Mendis, APKD; Jayatunge, DASR; Disaratna, V; Perera, BAKS [Article-Full-text]

Public policy system of the construction industry of a country will reflect the country’s economic, political, social, and cultural status. In any country, especially in developing countries like Sri Lanka, the success ...
Neural mixture models with expectation-maximization for end-to-end deep clustering

Tissera, D; Vithanage, K; Wijesinghe, R; Xavier, A; Jayasena, S; Fernando, S; Rodrigo, R [Article-Full-text]

Any clustering algorithm must synchronously learn to model the clusters and allocate data to those clusters in the absence of labels. Mixture model-based methods model clusters with pre-defined statistical distributions ...
Chest X-ray analysis empowered with deep learning: A systematic review

Meedeniya, D; Kumarasinghe, H; Kolonne, S; Fernando, C; Díez, IDLT; Marques, G [Article-Full-text]

Chest radiographs are widely used in the medical domain and at present, chest X-radiation particularly plays an important role in the diagnosis of medical conditions such as pneumonia and COVID-19 disease. The recent ...
A voice-based real-time emotion detection technique using recurrent neural network empowered feature modelling

Chamishka, S; Madhavi, I; Nawaratne, R; Alahakoon, D; De Silva, D; Chilamkurti, N; Nanayakkara, V [Article-Full-text]

The advancements of the Internet of Things (IoT) and voice-based multimedia applications have resulted in the generation of big data consisting of patterns, trends and associations capturing and representing many features ...
Exploring the applicability of expanded polystyrene (EPS) based concrete panels as roof slab insulation in the tropics

Meddage, DPP; Chadee, A; Jayasinghe, MTR; Rathnayake, U [Article-Full-text]

Heat transfer through roof slabs significantly increases the operational energy consumption of buildings. Therefore, passive implementations are necessary to improve the thermal performance of roof slabs in tropical climates. ...
Repurposing plastic wastes in non-conventional engineered wood building bricks for constructional application - A mechanical characterization using experimental and statistical analysin

Maddodi, B. S.; A, L. U.; Devesh, S.; Rao, A. U.; Shenoy, G. B.; Wijerathne, H. T.; Sooriyaperkasam, N.; M, P. K. [Article-Full-text]

Plastic waste is accumulating at an alarming rate, polluting the environment due to various industrial activities. Plastic waste is also non-biodegradable, making global accumulation deteriorate. Moreover, it is observed ...

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