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Jayasuriya</title> <meta name="description" content="Search results for: Dulani Jayasuriya"> <meta name="keywords" content="Dulani Jayasuriya"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Dulani Jayasuriya"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 12</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Dulani Jayasuriya</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12</span> Chatbots in Education: Case of Development Using a Chatbot Development Platform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dulani%20Jayasuriya">Dulani Jayasuriya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study outlines the developmental steps of a chatbot for administrative purposes of a large undergraduate course. The chatbot is able to handle student queries about administrative details, including assessment deadlines, course documentation, how to navigate the course, group formation, etc. The development window screenshots are that of a free account on the Snatchbot platform such that this can be adopted by the wider public. While only one connection to an answer based on possible keywords is shown here, one needs to develop multiple connections leading to different answers based on different keywords for the actual chatbot to function. The overall flow of the chatbot showing connections between different interactions is depicted at the end. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chatbots" title="chatbots">chatbots</a>, <a href="https://publications.waset.org/abstracts/search?q=education" title=" education"> education</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a>, <a href="https://publications.waset.org/abstracts/search?q=snatch%20bot" title=" snatch bot"> snatch bot</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a> </p> <a href="https://publications.waset.org/abstracts/152863/chatbots-in-education-case-of-development-using-a-chatbot-development-platform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152863.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">106</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11</span> Detecting Anomalous Matches: An Empirical Study from National Basketball Association</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jacky%20Liu">Jacky Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Dulani%20Jayasuriya"> Dulani Jayasuriya</a>, <a href="https://publications.waset.org/abstracts/search?q=Ryan%20Elmore"> Ryan Elmore</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Match fixing and anomalous sports events have increasingly threatened the integrity of professional sports, prompting concerns about existing detection methods. This study addresses prior research limitations in match fixing detection, improving the identification of potential fraudulent matches by incorporating advanced anomaly detection techniques. We develop a novel method to identify anomalous matches and player performances by examining series of matches, such as playoffs. Additionally, we investigate bettors' potential profits when avoiding anomaly matches and explore factors behind unusual player performances. Our literature review covers match fixing detection, match outcome forecasting models, and anomaly detection methods, underscoring current limitations and proposing a new sports anomaly detection method. Our findings reveal anomalous series in the 2022 NBA playoffs, with the Phoenix Suns vs Dallas Mavericks series having the lowest natural occurrence probability. We identify abnormal player performances and bettors' profits significantly decrease when post-season matches are included. This study contributes by developing a new approach to detect anomalous matches and player performances, and assisting investigators in identifying responsible parties. While we cannot conclusively establish reasons behind unusual player performances, our findings suggest factors such as team financial difficulties, executive mismanagement, and individual player contract issues. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anomaly%20match%20detection" title="anomaly match detection">anomaly match detection</a>, <a href="https://publications.waset.org/abstracts/search?q=match%20fixing" title=" match fixing"> match fixing</a>, <a href="https://publications.waset.org/abstracts/search?q=match%20outcome%20forecasting" title=" match outcome forecasting"> match outcome forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=problematic%20players%20identification" title=" problematic players identification"> problematic players identification</a> </p> <a href="https://publications.waset.org/abstracts/169744/detecting-anomalous-matches-an-empirical-study-from-national-basketball-association" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169744.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">80</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">10</span> Digital Forensics Compute Cluster: A High Speed Distributed Computing Capability for Digital Forensics </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Gonzales">Daniel Gonzales</a>, <a href="https://publications.waset.org/abstracts/search?q=Zev%20Winkelman"> Zev Winkelman</a>, <a href="https://publications.waset.org/abstracts/search?q=Trung%20Tran"> Trung Tran</a>, <a href="https://publications.waset.org/abstracts/search?q=Ricardo%20Sanchez"> Ricardo Sanchez</a>, <a href="https://publications.waset.org/abstracts/search?q=Dulani%20Woods"> Dulani Woods</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Hollywood"> John Hollywood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We have developed a distributed computing capability, Digital Forensics Compute Cluster (DFORC2) to speed up the ingestion and processing of digital evidence that is resident on computer hard drives. DFORC2 parallelizes evidence ingestion and file processing steps. It can be run on a standalone computer cluster or in the Amazon Web Services (AWS) cloud. When running in a virtualized computing environment, its cluster resources can be dynamically scaled up or down using Kubernetes. DFORC2 is an open source project that uses Autopsy, Apache Spark and Kafka, and other open source software packages. It extends the proven open source digital forensics capabilities of Autopsy to compute clusters and cloud architectures, so digital forensics tasks can be accomplished efficiently by a scalable array of cluster compute nodes. In this paper, we describe DFORC2 and compare it with a standalone version of Autopsy when both are used to process evidence from hard drives of different sizes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20forensics" title="digital forensics">digital forensics</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=cyber%20security" title=" cyber security"> cyber security</a>, <a href="https://publications.waset.org/abstracts/search?q=spark" title=" spark"> spark</a>, <a href="https://publications.waset.org/abstracts/search?q=Kubernetes" title=" Kubernetes"> Kubernetes</a>, <a href="https://publications.waset.org/abstracts/search?q=Kafka" title=" Kafka"> Kafka</a> </p> <a href="https://publications.waset.org/abstracts/73858/digital-forensics-compute-cluster-a-high-speed-distributed-computing-capability-for-digital-forensics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73858.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">394</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">9</span> EduEasy: Smart Learning Assistant System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Karunasena">A. Karunasena</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Bandara"> P. Bandara</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20A.%20T.%20P.%20Jayasuriya"> J. A. T. P. Jayasuriya</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20D.%20Gallage"> P. D. Gallage</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20M.%20S.%20D.%20Jayasundara"> J. M. S. D. Jayasundara</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20A.%20P.%20Y.%20P.%20Nuwanjaya"> L. A. P. Y. P. Nuwanjaya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Usage of smart learning concepts has increased rapidly all over the world recently as better teaching and learning methods. Most educational institutes such as universities are experimenting those concepts with their students. Smart learning concepts are especially useful for students to learn better in large classes. In large classes, the lecture method is the most popular method of teaching. In the lecture method, the lecturer presents the content mostly using lecture slides, and the students make their own notes based on the content presented. However, some students may find difficulties with the above method due to various issues such as speed in delivery. The purpose of this research is to assist students in large classes in the following content. The research proposes a solution with four components, namely note-taker, slide matcher, reference finder, and question presenter, which are helpful for the students to obtain a summarized version of the lecture note, easily navigate to the content and find resources, and revise content using questions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20summarization" title="automatic summarization">automatic summarization</a>, <a href="https://publications.waset.org/abstracts/search?q=extractive%20text%20summarization" title=" extractive text summarization"> extractive text summarization</a>, <a href="https://publications.waset.org/abstracts/search?q=speech%20recognition%20library" title=" speech recognition library"> speech recognition library</a>, <a href="https://publications.waset.org/abstracts/search?q=sentence%20extraction" title=" sentence extraction"> sentence extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20web%20search" title=" automatic web search"> automatic web search</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20question%20generator" title=" automatic question generator"> automatic question generator</a>, <a href="https://publications.waset.org/abstracts/search?q=sentence%20scoring" title=" sentence scoring"> sentence scoring</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20term%20weight" title=" the term weight"> the term weight</a> </p> <a href="https://publications.waset.org/abstracts/131469/edueasy-smart-learning-assistant-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131469.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8</span> Installing Photovoltaic Panels to Generate Optimal Energy in SPAV Hostel, Vijayawada</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20Jayasuriya">J. Jayasuriya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this research paper, a procedure for installing and assessment of a solar PV plant to generate optimal solar energy SPAV hostel at Vijayawada city was analyzed. The hostel was experiencing power disruption and had a need for an unceasing energy source. The solar panel is one of the best solutions to obtain uninterrupted clean renewable energy for an institutional building as it neither makes din nor pollutes the atmosphere. The electricity usage per month was initially measured to discriminate the energy change. The solar array was installed with its financial and environmental assessment considering recent market prices. All the aspects related to a solar PV plant were considered for the feasibility and efficiency of PV plant near this site i.e., the orientation of the site, the size and shape of the terrace, the sun path were considered while installing panels. Various precautions were taken to intercept the factors which cause interference in energy generation, with respect to temperature, overshadowing, the wiring of panels, pollution etc. The solar panels were frequently installed, monitored and maintained properly to procure optimal energy output. Result obtained with the assessment of the proposed plant and deflation in the electric bill will show the maximal energy that can be generated in a month on that particular site. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=solar%20efficiency" title="solar efficiency">solar efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20sustainability" title=" building sustainability"> building sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=PV%20panel" title=" PV panel"> PV panel</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20energy" title=" solar energy"> solar energy</a> </p> <a href="https://publications.waset.org/abstracts/83960/installing-photovoltaic-panels-to-generate-optimal-energy-in-spav-hostel-vijayawada" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83960.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">136</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> Teaching Writing in the Virtual Classroom: Challenges and the Way Forward</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Upeksha%20Jayasuriya">Upeksha Jayasuriya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The sudden transition from onsite to online teaching/learning due to the COVID-19 pandemic called for a need to incorporate feasible as well as effective methods of online teaching in most developing countries like Sri Lanka. The English as a Second Language (ESL) classroom faces specific challenges in this adaptation, and teaching writing can be identified as the most challenging task compared to teaching the other three skills. This study was therefore carried out to explore the challenges of teaching writing online and to provide effective means of overcoming them while taking into consideration the attitudes of students and teachers with regard to learning/teaching English writing via online platforms. A survey questionnaire was distributed (electronically) among 60 students from the University of Colombo, the University of Kelaniya, and The Open University in order to find out the challenges faced by students, while in-depth interviews were conducted with 12 lecturers from the mentioned universities. The findings reveal that the inability to observe students’ writing and to receive real-time feedback discourage students from engaging in writing activities when taught online. It was also discovered that both students and teachers increasingly prefer Google Slides over other platforms such as Padlet, Linoit, and Jam Board as it boosts learner autonomy and student-teacher interaction, which in turn allows real-time formative feedback, observation of student work, and assessment. Accordingly, it can be recommended that teaching writing online can be better facilitated by using interactive platforms such as Google Slides, for it promotes active learning and student engagement in the ESL class. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ESL" title="ESL">ESL</a>, <a href="https://publications.waset.org/abstracts/search?q=teaching%20writing" title=" teaching writing"> teaching writing</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20teaching" title=" online teaching"> online teaching</a>, <a href="https://publications.waset.org/abstracts/search?q=active%20learning" title=" active learning"> active learning</a>, <a href="https://publications.waset.org/abstracts/search?q=student%20engagement" title=" student engagement"> student engagement</a> </p> <a href="https://publications.waset.org/abstracts/157998/teaching-writing-in-the-virtual-classroom-challenges-and-the-way-forward" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157998.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">90</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Decoding WallStreetBets: The Impact of Daily Disagreements on Trading Volumes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=F.%20Ghandehari">F. Ghandehari</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Lu"> H. Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20El-Jahel"> L. El-Jahel</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Jayasuriya"> D. Jayasuriya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Disagreement among investors is a fundamental aspect of financial markets, significantly influencing market dynamics. Measuring this disagreement has traditionally posed challenges, often relying on proxies like analyst forecast dispersion, which are limited by biases and infrequent updates. Recent movements in social media indicate that retail investors actively seek financial advice online and can influence the stock market. The evolution of the investing landscape, particularly the rise of social media as a hub for financial advice, provides an alternative avenue for real-time measurement of investor sentiment and disagreement. Platforms like Reddit offer rich, community-driven discussions that reflect genuine investor opinions. This research explores how social media empowers retail investors and the potential of leveraging textual analysis of social media content to capture daily fluctuations in investor disagreement. This study investigates the relationship between daily investor disagreement and trading volume, focusing on the role of social media platforms in shaping market dynamics, specifically using data from WallStreetBets (WSB) on Reddit. This paper uses data from 2020 to 2023 from WSB and analyses 4,896 firms with enough social media activity in WSB to define stock-day level disagreement measures. Consistent with traditional theories that disagreement induces trading volume, the results show significant evidence supporting this claim through different disagreement measures derived from WSB discussions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disagreement" title="disagreement">disagreement</a>, <a href="https://publications.waset.org/abstracts/search?q=retail%20investor" title=" retail investor"> retail investor</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20finance" title=" social finance"> social finance</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a> </p> <a href="https://publications.waset.org/abstracts/188909/decoding-wallstreetbets-the-impact-of-daily-disagreements-on-trading-volumes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188909.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">42</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Agritourism Potentials in Oman: An Overview with Visionary for Adoption</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Al%20Hinai">A. Al Hinai</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Jayasuriya"> H. Jayasuriya</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Kotagama"> H. Kotagama</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Most Gulf Cooperation Council (GCC) countries with oil-based economy like Oman are looking for other potential revenue generation options as the crude oil price is regularly fluctuating due to changing geopolitical environment. Oman has advantage of possessing world-heritage nature tourism hotspots around the country and the government is making investments and strategies to uplift the tourism industry following Oman Vision 2040 strategies. Oman’s agriculture is not significantly contributing to the economy, but possesses specific and diversified arid cropping systems. Oman has modern farms; nevertheless some of the agricultural production activities are done with cultural practices and styles that would be attractive to tourists. The aim of this paper is to investigate the potentials for promoting agritourism industry in Oman; recognize potential sites, commodities and activities, and predict potential revenue generation as a projection from that of the tourism sector. Moreover, the study enables to foresee possible auxiliary advantages of agritourism such as, empowerment of women and youth, enhancement in the value-addition industry for agricultural produce through technology transfer and capacity building, and producing export quality products. Agritourism could increase employability, empowerment of women and youth, improve value-addition industry and export-oriented agribusiness. These efforts including provision of necessary technology-transfer and capacity-building should be rendered by the collaboration of academic institutions, relevant ministries and other public and private sector stakeholders. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agritourism" title="agritourism">agritourism</a>, <a href="https://publications.waset.org/abstracts/search?q=nature-based%20tourism" title=" nature-based tourism"> nature-based tourism</a>, <a href="https://publications.waset.org/abstracts/search?q=potentials" title=" potentials"> potentials</a>, <a href="https://publications.waset.org/abstracts/search?q=revenue%20generation" title=" revenue generation"> revenue generation</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20addition" title=" value addition"> value addition</a> </p> <a href="https://publications.waset.org/abstracts/131304/agritourism-potentials-in-oman-an-overview-with-visionary-for-adoption" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131304.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">138</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Feasibility Study on Developing and Enhancing of Flood Forecasting and Warning Systems in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sitarrine%20Thongpussawal">Sitarrine Thongpussawal</a>, <a href="https://publications.waset.org/abstracts/search?q=Dasarath%20Jayasuriya"> Dasarath Jayasuriya</a>, <a href="https://publications.waset.org/abstracts/search?q=Thanaroj%20Woraratprasert"> Thanaroj Woraratprasert</a>, <a href="https://publications.waset.org/abstracts/search?q=Sakawtree%20Prajamwong"> Sakawtree Prajamwong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Thailand grapples with recurrent floods causing substantial repercussions on its economy, society, and environment. In 2021, the economic toll of these floods amounted to an estimated 53,282 million baht, primarily impacting the agricultural sector. The existing flood monitoring system in Thailand suffers from inaccuracies and insufficient information, resulting in delayed warnings and ineffective communication to the public. The Office of the National Water Resources (OWNR) is tasked with developing and integrating data and information systems for efficient water resources management, yet faces challenges in monitoring accuracy, forecasting, and timely warnings. This study endeavors to evaluate the viability of enhancing Thailand's Flood Forecasting and Warning (FFW) systems. Additionally, it aims to formulate a comprehensive work package grounded in international best practices to enhance the country's FFW systems. Employing qualitative research methodologies, the study conducted in-depth interviews and focus groups with pertinent agencies. Data analysis involved techniques like note-taking and document analysis. The study substantiates the feasibility of developing and enhancing FFW systems in Thailand. Implementation of international best practices can augment the precision of flood forecasting and warning systems, empowering local agencies and residents in high-risk areas to prepare proactively, thereby minimizing the adverse impact of floods on lives and property. This research underscores that Thailand can feasibly advance its FFW systems by adopting international best practices, enhancing accuracy, and improving preparedness. Consequently, the study enriches the theoretical understanding of flood forecasting and warning systems and furnishes valuable recommendations for their enhancement in Thailand. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flooding" title="flooding">flooding</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting" title=" forecasting"> forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=warning" title=" warning"> warning</a>, <a href="https://publications.waset.org/abstracts/search?q=monitoring" title=" monitoring"> monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=communication" title=" communication"> communication</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand" title=" Thailand"> Thailand</a> </p> <a href="https://publications.waset.org/abstracts/173941/feasibility-study-on-developing-and-enhancing-of-flood-forecasting-and-warning-systems-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173941.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">62</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Role of the Midwifery Trained Registered Nurse in Postnatal Units at Tertiary Care Hospitals in the Western Province of Sri Lanka: A Postal Survey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sunethra%20Jayathilake">Sunethra Jayathilake</a>, <a href="https://publications.waset.org/abstracts/search?q=Vathsala%20Jayasuriya-Illesinghe"> Vathsala Jayasuriya-Illesinghe</a>, <a href="https://publications.waset.org/abstracts/search?q=Kerstin%20Samarasinghe"> Kerstin Samarasinghe</a>, <a href="https://publications.waset.org/abstracts/search?q=Himani%20Molligoda"> Himani Molligoda</a>, <a href="https://publications.waset.org/abstracts/search?q=Rasika%20Perera"> Rasika Perera</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Sri Lanka, postnatal care in the state hospitals is provided by different professional categories: Midwifery trained registered nurses (MTRNs), Registered Nurses (RNs) who do not have midwifery training, doctors and midwives. Even though four professional categories provide postnatal care to mothers and newborn babies, they are not aware of their own tasks and responsibilities in postnatal care. Particularly MTRN’s role in the postnatal unit is unclear. The current study aimed to identify nurses’ (both MTRN and RNs) perception on MTRN’s tasks and responsibilities in postnatal care. This is a descriptive cross sectional study using postal survey. All nurses who were currently working in postnatal units at five selected tertiary care hospitals in the Western Province at that time were invited to participate in the study. Accordingly, the pre evaluated self-administered questionnaire was sent to 201 nurses (53 MTRNs and 148 RNs) in the study setting. The number of valid return questionnaire was 166; response rate was 83%. Respondents rated the responsibility of four professional categories: MTRN, RN, doctor and midwife whether they are 'primarily responsible', 'responsible in absence' and 'not responsible', for each of 15 postnatal (PN) tasks which were previously identified from focus group discussions with care providers during the first phase of the study. Data were analyzed using SPSS version 20; descriptive statistics were calculated. Out of the 15 PN tasks, 13 were identified as MTRNs’ primary responsibilities by 71%-93% of respondents. The respondents also considered six (6) tasks out of 15 as primary responsibility of both MTRN and RN, seven (7) tasks as primary responsibility of MTRN, RN and doctor and the remaining two (2) tasks were identified as the primary responsibility of MTRN, RN and midwife. All 15 PN tasks overlapped with other professional categories. Overlapping tasks may create role confusion leading to conflicts among professional categories which affect the quality of care they provide, eventually, threaten the safety of the client. It is recommended that an official job description for each care provider is needed to recognize their own professional boundaries for ensuring safe, quality care delivery in Sri Lanka. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=overlapping" title="overlapping">overlapping</a>, <a href="https://publications.waset.org/abstracts/search?q=postnatal" title=" postnatal"> postnatal</a>, <a href="https://publications.waset.org/abstracts/search?q=responsibilities" title=" responsibilities"> responsibilities</a>, <a href="https://publications.waset.org/abstracts/search?q=tasks" title=" tasks"> tasks</a> </p> <a href="https://publications.waset.org/abstracts/110743/role-of-the-midwifery-trained-registered-nurse-in-postnatal-units-at-tertiary-care-hospitals-in-the-western-province-of-sri-lanka-a-postal-survey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/110743.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Prediction of Time to Crack Reinforced Concrete by Chloride Induced Corrosion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anuruddha%20Jayasuriya">Anuruddha Jayasuriya</a>, <a href="https://publications.waset.org/abstracts/search?q=Thanakorn%20Pheeraphan"> Thanakorn Pheeraphan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, a review of different mathematical models which can be used as prediction tools to assess the time to crack reinforced concrete (RC) due to corrosion is investigated. This investigation leads to an experimental study to validate a selected prediction model. Most of these mathematical models depend upon the mechanical behaviors, chemical behaviors, electrochemical behaviors or geometric aspects of the RC members during a corrosion process. The experimental program is designed to verify the accuracy of a well-selected mathematical model from a rigorous literature study. Fundamentally, the experimental program exemplifies both one-dimensional chloride diffusion using RC squared slab elements of 500 mm by 500 mm and two-dimensional chloride diffusion using RC squared column elements of 225 mm by 225 mm by 500 mm. Each set consists of three water-to-cement ratios (w/c); 0.4, 0.5, 0.6 and two cover depths; 25 mm and 50 mm. 12 mm bars are used for column elements and 16 mm bars are used for slab elements. All the samples are subjected to accelerated chloride corrosion in a chloride bath of 5% (w/w) sodium chloride (NaCl) solution. Based on a pre-screening of different models, it is clear that the well-selected mathematical model had included mechanical properties, chemical and electrochemical properties, nature of corrosion whether it is accelerated or natural, and the amount of porous area that rust products can accommodate before exerting expansive pressure on the surrounding concrete. The experimental results have shown that the selected model for both one-dimensional and two-dimensional chloride diffusion had ±20% and ±10% respective accuracies compared to the experimental output. The half-cell potential readings are also used to see the corrosion probability, and experimental results have shown that the mass loss is proportional to the negative half-cell potential readings that are obtained. Additionally, a statistical analysis is carried out in order to determine the most influential factor that affects the time to corrode the reinforcement in the concrete due to chloride diffusion. The factors considered for this analysis are w/c, bar diameter, and cover depth. The analysis is accomplished by using Minitab statistical software, and it showed that cover depth is the significant effect on the time to crack the concrete from chloride induced corrosion than other factors considered. Thus, the time predictions can be illustrated through the selected mathematical model as it covers a wide range of factors affecting the corrosion process, and it can be used to predetermine the durability concern of RC structures that are vulnerable to chloride exposure. And eventually, it is further concluded that cover thickness plays a vital role in durability in terms of chloride diffusion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accelerated%20corrosion" title="accelerated corrosion">accelerated corrosion</a>, <a href="https://publications.waset.org/abstracts/search?q=chloride%20diffusion" title=" chloride diffusion"> chloride diffusion</a>, <a href="https://publications.waset.org/abstracts/search?q=corrosion%20cracks" title=" corrosion cracks"> corrosion cracks</a>, <a href="https://publications.waset.org/abstracts/search?q=passivation%20layer" title=" passivation layer"> passivation layer</a>, <a href="https://publications.waset.org/abstracts/search?q=reinforcement%20corrosion" title=" reinforcement corrosion"> reinforcement corrosion</a> </p> <a href="https://publications.waset.org/abstracts/74576/prediction-of-time-to-crack-reinforced-concrete-by-chloride-induced-corrosion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74576.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">219</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> A Vision-Based Early Warning System to Prevent Elephant-Train Collisions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shanaka%20Gunasekara">Shanaka Gunasekara</a>, <a href="https://publications.waset.org/abstracts/search?q=Maleen%20Jayasuriya"> Maleen Jayasuriya</a>, <a href="https://publications.waset.org/abstracts/search?q=Nalin%20Harischandra"> Nalin Harischandra</a>, <a href="https://publications.waset.org/abstracts/search?q=Lilantha%20Samaranayake"> Lilantha Samaranayake</a>, <a href="https://publications.waset.org/abstracts/search?q=Gamini%20Dissanayake"> Gamini Dissanayake</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One serious facet of the worsening Human-Elephant conflict (HEC) in nations such as Sri Lanka involves elephant-train collisions. Endangered Asian elephants are maimed or killed during such accidents, which also often result in orphaned or disabled elephants, contributing to the phenomenon of lone elephants. These lone elephants are found to be more likely to attack villages and showcase aggressive behaviour, which further exacerbates the overall HEC. Furthermore, Railway Services incur significant financial losses and disruptions to services annually due to such accidents. Most elephant-train collisions occur due to a lack of adequate reaction time. This is due to the significant stopping distance requirements of trains, as the full braking force needs to be avoided to minimise the risk of derailment. Thus, poor driver visibility at sharp turns, nighttime operation, and poor weather conditions are often contributing factors to this problem. Initial investigations also indicate that most collisions occur in localised “hotspots” where elephant pathways/corridors intersect with railway tracks that border grazing land and watering holes. Taking these factors into consideration, this work proposes the leveraging of recent developments in Convolutional Neural Network (CNN) technology to detect elephants using an RGB/infrared capable camera around known hotspots along the railway track. The CNN was trained using a curated dataset of elephants collected on field visits to elephant sanctuaries and wildlife parks in Sri Lanka. With this vision-based detection system at its core, a prototype unit of an early warning system was designed and tested. This weatherised and waterproofed unit consists of a Reolink security camera which provides a wide field of view and range, an Nvidia Jetson Xavier computing unit, a rechargeable battery, and a solar panel for self-sufficient functioning. The prototype unit was designed to be a low-cost, low-power and small footprint device that can be mounted on infrastructures such as poles or trees. If an elephant is detected, an early warning message is communicated to the train driver using the GSM network. A mobile app for this purpose was also designed to ensure that the warning is clearly communicated. A centralized control station manages and communicates all information through the train station network to ensure coordination among important stakeholders. Initial results indicate that detection accuracy is sufficient under varying lighting situations, provided comprehensive training datasets that represent a wide range of challenging conditions are available. The overall hardware prototype was shown to be robust and reliable. We envision a network of such units may help contribute to reducing the problem of elephant-train collisions and has the potential to act as an important surveillance mechanism in dealing with the broader issue of human-elephant conflicts. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title="computer vision">computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=human-elephant%20conflict" title=" human-elephant conflict"> human-elephant conflict</a>, <a href="https://publications.waset.org/abstracts/search?q=wildlife%20early%20warning%20technology" title=" wildlife early warning technology"> wildlife early warning technology</a> </p> <a href="https://publications.waset.org/abstracts/138663/a-vision-based-early-warning-system-to-prevent-elephant-train-collisions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/138663.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">226</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div 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