2022
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Publication Embargo TRIPORA: Intelligent Machine Learning Solution for Sri Lanka Touring Access and Updates(IEEE, 2022-12-09) Legrand, T.R; Bandara, K.M.R.A.I; Stefania Crishani, J.A.D; Uvindu, L.W.P; Amarasena, N; Kasthurirathna, DSri Lanka is one of the top tourist destinations in the world. However, tourists face various inconveniences due to the obsolescence of facilities. There are various tools designed to solve such problems. But they are scattered in different places and users have to use different tools. The biggest issue in the tourist sector is that travelers are unable to get the most out of their tours since there may be days when a large number of people visit the same location, causing the location to become overcrowded, and preventing tourists from enjoying their visit as anticipated. There are seasons when natural disasters occur, as well as human-centered crises. Also, there are situations when travelers feel helpless because they are unable to find the best tour guide for them. We developed a cost-effective, automatic, and efficient Machine Learning-based recommendation system as a result of this research. Based on past data on tourists and data received from the SLTDA, this research can provide the best trip plan with the tour guide and provide destination news alerts on regular basis. Furthermore, in order to achieve the best accuracy through the system, unique machine learning approaches were used in this study.Publication Open Access Analysis on Current and Future Training Needs in Health Sector of Sri Lanka(SRAC - Romanian Society for Quality, 2022-08) Rajapakshe, W; Weerarathna, R. S; Pathirana, G.Y; Malage, M. HSri Lanka holds a unique position in South Asia as one of the developing nations to provide universal health. Government spending on welfare mainly involves compromising or constraining a country's development budget. It requires sound management strategies to utilize limited resources, including the human resource of the health sector. Training and development of health professionals can be identified as a critical component in strengthening the quality of health services. Fewer studies exist on Training Needs Analysis (TNA) on health professionals in Sri Lanka, and this study assessed the Training Needs of Sri Lanka's healthcare professionals. This is a cross-sectional study collecting data from 240 health sector professionals in Sri Lanka. The Hennessey Hicks Training Need questionnaire was used to obtain data. Data from the source was analysed through the oneway ANOVA to compare the training needs of various professional groups, and the Word Cloud Online tool was applied to analyse the open-ended questions. The study identifies published research evaluation, communicates with patients, identifies viable research, introduces new ideas, prioritizing works, assessing patients' needs, using technology, undertaking health promotion activities, collecting research information, and undertaking administrative duties as current training needs. While computer literacy training, training on new medical equipment, awareness programs on workplace stress-reducing, training on quality assurance certifications like ISO, programs on effectively communicating with patients, management training, and language training were identified as future training needs of professionals in the health sector. The study concluded that, continuous training programs as the preferred approach to access the performance gap. It also demonstrates that this awareness of information regarding the training needs is beneficial for the health sector policymakers, managers, employees, and the community. Having a better understanding of their job roles, performance needs, and involvement in the decision-making process is likely to motivate healthcare sector employees to improve service quality. These benefits will be reflected in positive outcomes on service quality, improving the overall healthcare system in the country.Publication Open Access Factors influencing the timely completion of construction projects in Sri Lanka(Public Library of Science, 2022-12-15) Abeysinghe, N; Jayathilaka, RTimely completion is a crucial factor for the success of a construction project, especially in the Sri Lankan context. This study aims to identify the most influential factors that affect the timely completion of construction projects in Sri Lanka. Thirty-nine factors were identified through a comprehensive literature review and experts’ opinions. A questionnaire incorporating the 39 project delay factors was distributed among 163 Civil Engineers, and responses were obtained. Random sampling method was adopted to select the sample. The Relative Importance Index (RII) analysed and ranked the project delay factors. The top ranked significant project delay factors were identified as shortage of skilled subcontractors/suppliers, shortage of labourers (Skilled, semi-skilled, unskilled), financial difficulties of contractors, delay in delivering materials to the site, and Covid-19 pandemic situation. According to the main three respondent types, i.e., clients/owners, contractors and consultants, the contractor related factors was the key group among others that delay a construction project. The scientific value of the study includes assisting the Sri Lankan construction industry to identify the factors affecting the timely completion of construction projects, and developing mitigation methods and strategies. Also, the stakeholders could duly schedule the construction work by identifying areas that need more attention. The contribution of this study would assist stakeholders to adopt a proactive approach by identifying mistakes on their part and minimising potential issues that lead to construction project delays in Sri Lanka. FiguresPublication Open Access SUCCESSFUL DELIVERY OF PUBLICPRIVATE PARTNERSHIP (PPP) IN THE CONSTRUCTION PROJECTS OF SRI LANKAN HIGHER EDUCATION SECTOR(https://ciobwcs.com, 2022-06-24) Kandawinna, N; Mallawaarachchi, H; Vijerathne, DTo gain economic advantages in the competitive world, governments tend to adopt new financing methods in construction projects. Accordingly, Public-Private Partnership (PPP) projects are a popular choice mainly due to the reduction in transaction cost and innovation. PPP projects have spread from the typical use on infrastructure projects such as airports, roads, railways, ports, and water sanitation to the more recent use for projects in the higher education sector such as universities and colleges. Thus, adopting PPP for the higher education sector related construction projects in Sri Lanka is vital to consider. Accordingly, this research aims to observe the Critical Success Factors (CSF) for the successful delivery of PPP projects in the construction projects of the higher education sector in Sri Lanka. A comprehensive literature review was first conducted to identify the CSFs of PPP in higher education construction projects and 22 CSFs were identified. The survey method was used under quantitative phenomenon since this research required evaluating the identified CSFs. The identified factors were evaluated through a questionnaire survey, which was conducted among the 30 selected professionals who are aware on PPPs, such as Quantity Surveyors, Project Managers, Government Professionals, and Academic Professionals. As the key findings derived through analysis, “communication between parties”, “transparency in the procurement process”, financial capability and support”, “project technical feasibility” and “appropriate risk allocation and risk-sharing” were determined as the top five CSFs for PPP projects in the higher education sector related construction projects in Sri Lanka. Furthermore, strategies were also proposed to ensure the successful implementation of CSFs in the higher education sector in Sri Lanka.Publication Open Access CIRCULAR ECONOMY (CE) BASED MATERIAL SELECTION: DEVELOPMENT OF A CE-BASED ‘10R’ EVALUATION FRAMEWORK FOR BUILDING CONSTRUCTION PROJECTS IN SRI LANKA(https://ciobwcs.com, 2022-06-24) Wanaguru, K; Mallawaarachchi, H; Vijerathne, DThe building construction industry is globally identified as one of the major consumers of materials. Thus, the material wastage in building construction projects is very excessive. In the Sri Lankan construction industry, it was identified that the main reason for generating material wastage is the absence of proper material selection criteria. The concept of Circular Economy (CE) has been obtained the world attention in reducing material wastage in the construction industry as it targets zero waste and pollution throughout the lifecycle of materials. Applying CE principles in the material selection not only reduces the wastage of materials but also reduces the use of virgin materials. Hence, this research aimed for developing a CE-based 10R evaluation framework for materials selection in order to reduce the wastage of materials in building construction projects in Sri Lanka. A comprehensive literature review was first conducted to review the concept of CE, CE principles and its importance for reducing material wastage in the construction industry. Deductive approach was chosen as the suitable research approach in this study. Survey method was applied as the suitable research strategy under quantitative phenomenon. A questionnaire survey was conducted with a conveniently selected sample of 58 industry professionals to collect the data. The collected data were analysed by using Weighted Mean Average (WMA) technique. As key findings derived through analysis, the level of importance of each CE principle for selection of materials was determined. Accordingly, the CE-based 10R evaluation framework for material selection was developed as the main implication of this research. Various strategies, such as reusing demolition materials, adopting prefabricated building components, developing plans to on-site recycle and using alternative materials were also proposed to implement the all identified CE principles assuring a successful application of the developed framework.Publication Open Access Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka(Hindawi, 2022-08-31) Perera, H; Gunathilake, M. B; Panditharathne, R; Al-mahbashi, N; Rathnayake, USatellite-based precipitation products, (SbPPs) have piqued the interest of a number of researchers as a reliable replacement for observed rainfall data which often have limited time spans and missing days. The SbPPs possess certain uncertainties, thus, they cannot be directly used without comparing against observed rainfall data prior to use. The Kelani river basin is Sri Lanka’s fourth longest river and the main source of water for almost 5 million people. Therefore, this research study aims to identify the potential of using SbPPs as a different method to measure rain besides using a rain gauge. Furthermore, the aim of the work is to examine the trends in precipitation products in the Kelani river basin. Three SbPPs, precipitation estimation using remotely sensed information using artificial neural networks (PERSIANN), PERSIANN-cloud classification system (CCS), and PERSIANN-climate data record (CDR) and ground observed rain gauge daily rainfall data at nine locations were used for the analysis. Four continuous evaluation indices, namely, root mean square error (RMSE), (percent bias) PBias, correlation coefficient (CC), and Nash‒Sutcliffe efficiency (NSE) were used to determine the accuracy by comparing against observed rainfall data. Four categorical indices including probability of detection (POD), false alarm ratio (FAR), critical success index (CSI), and proportional constant (PC) were used to evaluate the rainfall detection capability of SbPPs. Mann‒Kendall test and Sen’s slope estimator were used to identifying whether a trend was present while the magnitudes of these were calculated by Sen’s slope. PERSIANN-CDR performed well by showing better performance in both POD and CSI. When compared to observed rainfall data, the PERSIANN product had the lowest RMSE value, while all products indicated underestimations. The CC and NSE of all three products with observed rainfall data were also low. Mixed results were obtained for the trend analysis as well. The overall results showed that all three products are not a better choice for the chosen study area.Publication Open Access Spatio-Temporal Rainfall Variability and Concentration over Sri Lanka(Hindawi, 2022-09-28) Pawar, U; Karunathilaka, P; Rathnayake, UChanges in precipitation patterns significantly affect flood and drought hazard management and water resources at local to regional scales. Therefore, the main motivation behind this paper is to examine the spatial and temporal rainfall variability over Sri Lanka by Standardized Rainfall Anomaly Index (SRAI) and Precipitation Concentration Index (PCI) from 1990 to 2019. The Mann–Kendall (MK) trend test and Sen’s slope (SS) were utilized to assess the trend in the precipitation concentration based on PCI. The Inverse Distance Weighting (IDW) interpolation method was incorporated to measure spatial distribution. Precipitation variability analysis showed that seasonal variations are more than those of annual variations. In addition, wet, normal, and dry years were identified over Sri Lanka using SRAI. The maximum SRAI (2.27) was observed for the year 2014 for the last 30 years (1990–2019), which shows the extremely wet year of Sri Lanka. The annual and seasonal PCI analysis showed moderate to irregular rainfall distribution except for the Jaffna and Ratnapura areas (annual scale-positive changes in Katugastota for 21.39% and Wellawaya for 17.6%; seasonal scale-Vavuniya for 33.64%, Trincomalee for 31.26%, and Batticaloa for 18.79% in SWMS). The MK test, SS-test, and percent change analyses reveal that rainfall distribution and concentration change do not show a significant positive or negative change in rainfall pattern in Sri Lanka, despite a few areas which experienced significant positive changes. Therefore, this study suggests that the rainfall in Sri Lanka follows the normal trend of precipitation with variations observed both annually and seasonally.Publication Embargo Variation of Leaf Area Index (LAI) under Changing Climate: Kadolkele Mangrove Forest, Sri Lanka(Hindawi, 2022-10-10) Makumbura, R.K; Rathnayake, UMangroves are an essential plant community in coastal ecosystems. While the importance of mangrove ecosystems is well acknowledged, climate change is expected to have a considerable negative impact on them, especially in terms of temperature, precipitation, sea level rise (SLR), ocean currents, and increasing storminess. Sri Lanka ranks near the bottom of the list of countries researching this problem, even though the scientific community's interest in examining the variation in mangrove health in response to climate change has gained significant attention. Consequently, this study illustrates how the leaf area index, a measure of mangrove health, fluctuates in response to varying precipitation, particularly during droughts in Sri Lanka's Kadolkele mangrove forest. The measurements of the normalized difference vegetation index (NDVI) were used to produce the leaf area index (LAI), which was then combined with the standard precipitation index (SPI) to estimate the health of the mangroves. The climate scenario, RCP8.5, was used to forecast future SPI (2021–2100), and LAI was modeled under the observed (1991–2019) and expected (2021–2100) drought events. The study reveals that the forecasted drought intensities modeled using the RCP8.5 scenario have no significant variations on LAI, even though some severe and extreme drought conditions exist. Nevertheless, the health of the mangrove ecosystem is predicted to deteriorate under drought conditions and rebound when drought intensity decreases. The extreme drought state (-2.05) was identified in 2064; therefore, LAI has showcased its lowest (0.04). LAI and SPI are projected to gradually increase from 2064 to 2100, while high fluctuations are observed from 2021 to 2064. Limited availability of LAI values with required details (measured date, time, and sample locations) and cloud-free Landsat images have affected the study results. This research presents a comprehensive understanding of Kadolkele mangrove forest under future droughts; thus, alarming relevant authorities to develop management plans to safeguard these critical ecosystems.Publication Open Access Analysis on Future Training Needs in Health Sector of Sri Lanka(SRAC - Romanian Society for Quality, 2022-08) Weerarathna, R; Rajapakshe, W; Pathirana, G. Y; Malage, M. HSri Lanka holds a unique position in South Asia as one of the developing nations to provide universal health. Government spending on welfare mainly involves compromising or constraining a country's development budget. It requires sound management strategies to utilize limited resources, including the human resource of the health sector. Training and development of health professionals can be identified as a critical component in strengthening the quality of health services. Fewer studies exist on Training Needs Analysis (TNA) on health professionals in Sri Lanka, and this study assessed the Training Needs of Sri Lanka's healthcare professionals. This is a cross-sectional study collecting data from 240 health sector professionals in Sri Lanka. The Hennessey Hicks Training Need questionnaire was used to obtain data. Data from the source was analysed through the one-way ANOVA to compare the training needs of various professional groups, and the Word Cloud Online tool was applied to analyse the open-ended questions. The study identifies published research evaluation, communicates with patients, identifies viable research, introduces new ideas, prioritizing works, assessing patients' needs, using technology, undertaking health promotion activities, collecting research information, and undertaking administrative duties as current training needs. While computer literacy training, training on new medical equipment, awareness programs on workplace stress-reducing, training on quality assurance certifications like ISO, programs on effectively communicating with patients, management training, and language training were identified as future training needs of professionals in the health sector. The study concluded that, continuous training programs as the preferred approach to access the performance gap. It also demonstrates that this awareness of information regarding the training needs is beneficial for the health sector policymakers, managers, employees, and the community. Having a better understanding of their job roles, performance needs, and involvement in the decision-making process is likely to motivate healthcare sector employees to improve service quality. These benefits will be reflected in positive outcomes on service quality, improving the overall healthcare system in the country.