Research Publications

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    Exploring Food Waste Management Practices: Insights from a Coastal Hotel in Sri Lanka
    (University of Nigeria Department of Mass Communication, 2025-01) Panapitiya, C; Dias, A; Aluthge, K; Ahamed, A; Weligodapola, M; Rathnayake, N
    Background: Food waste is immense, accounting for over one-third of worldwide food production for human consumption, totalling 1.3 billion tons annually. Additionally, Sri Lanka's estimated daily food waste is 4000 tons, with the hotel and hospitality sector responsible for a notable percentage. Therefore, it is essential to understand how this amount of waste is generated and what strategies are being employed to manage it. Objective: The research intends to identify the causes of food waste and understand the main waste generation points and food waste mitigation techniques employed within the hotel. Methodology: This exploratory study employs a qualitative approach to examine food waste management practices at a coastal hotel in Sri Lanka’s western province. Researchers used purposive sampling, semi-structured interviews with four key informants, and participant and non-participant observations. Thematic analysis was used to analyse the data. Results: The findings demonstrate that the hotel implements various food waste management techniques, including operational, quality, and standards elements. These techniques vary from internal initiatives to external measures. Conclusion: Effective practices can reduce the waste generated throughout the hotel's food supply chain. This will ultimately result in better economic, environmental, and societal outcomes. Unique Contribution: This research provides useful insights and lays the groundwork for future research by addressing this timely issue prevailing within both the local and global hotel industry. These findings can be applied to other settings, such as households, retail, and emerging hotels and resorts.
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    Smart Waste Segregation for Home Environment
    (IEEE, 2023-06-12) Abeygunawardhana, P.K. W; Muhammed Rijah, U.L
    The segregation of waste and recycling is essential for effective waste management. Due to the busy schedule most of the people do not have a time to separate their waste. However, there is a significant issue with the segregation of the collected garbage. The implementation of an intelligent trash-management architecture is essential for the removal or reduction of waste and the maintenance of a clean, corporate environment. An IoT-stationed smart waste management device is proposed in this study that uses sensor devices to identify rubbish in the dustbins. With the aid of sensors, the waste substances in it will be separated through IoT as soon as it is discovered. Sensors and the IoT module are connected through a microcontroller. To detect the presence of garbage, an ultrasonic sensor is used. All garbage entered will be caught by the web camera and processed by the machine learning module once it has been processed. Using the model, we can identify the many forms of waste, such as paper, plastic, and glass, which account for most of the garbage materials found in a home area. This aids in removing the trash from the trash can in the most efficient and effective manner possible. This research presents an IoT, and Machine Learning based completely intelligent trash segregation and management System that recognizes the dustbins' wastes using sensor systems. This project aims to develop an automated waste segregation system using a CNN algorithm that will capture waste images from a camera with object detection and classify waste materials such as paper, plastic, and glass so that the waste can be recycled appropriately. The proposed architecture with CNN gives an accuracy of 84.67%. This system will help in garbage disposal by categorizing it, contributing to a cleaner environment.
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    PublicationOpen Access
    Effective Waste Management Strategies of Bentonite in Sri Lanka
    (SLIIT, 2022-02-11) Guruge, K; Coomasaru, P
    One of the greatest challenges of Bentonite usage in construction industry is, managing the wastage created in sites thus, it has to be given attention. Therefore, the study would be conducted focusing on the domestic piling construction sites and the process followed by them. Although it is a chemical, it is recognized to be safe for both the environment as well as mankind in an ecological and health protection perspective. However, a proper disposal method in order to reduce the further issues as excessive waste in sites is needed. Therefore, this study aims to explore an effective method regarding the waste management strategies for Bentonite in Sri Lanka. The objectives of the study are, identifying the wasting methods of Bentonite, identifying causes of disposing Bentonite and determining the most suitable method for Bentonite disposal. Data for the objectives one and two were collected through a literature survey and analyzed by using NVivo which was validated using a questionnaire by majority of 5-10 years experienced professionals aligning to mixed method approach. Data for the third objective was found by aegis of the same questionnaire. Noticeably, it was validated through interviews by the industry experts with more than 30 years of experience. The study found that, site conditions are the most relatable reason for the Bentonite waste. Apart from that ‘weather’ and ‘manual handling errors’ can be additional reasons for the wastage. Moreover, most sites consider either ‘when the slurry forms into a cake’ or ‘silos are full’ as the causes for disposal. Furthermore, it has identified that the majority of sites dispose the waste to disposable lands using bowsers as of the disposal method after reusing 3-4 times. The suggested method appears to be cost effective and efficient in comparison to the others. Furthermore, it can be rather safe and environmentally friendly.
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    PublicationOpen Access
    THE APPLICABILITY OF REGULATIONS FOR THE DISPOSAL OF CONSTRUCTION AND DEMOLITION WASTE IN SRI LANKA
    (researchgate.net, 2022-06-24) Edirisinghe, V; Dahanayake, R; Tissera, A. C; Warnakulasuriya, D
    Effective and efficient waste management plans/systems are vital in reducing and maintaining the generation of construction and demolition waste. It was proved in previous research, proper rules and regulations affect the effectiveness of the waste management strategies used in disposing of construction and demolition waste. Therefore, this research aim is to identify the regulations applicable for the disposal of construction and demolition waste in Sri Lanka to propose improvements in the available rules and regulations. Comprehensive literature and document review were conducted to approach the aim of this research. Questionnaire surveys and expert interviews were carried out to validate the findings of the literature survey and to gather required data in identifying the issues related to current rules and regulations and proposing improvements. The findings revealed that many gaps can be identified with the current regulations used in the disposal of construction and demolition waste. The results of the research identified a lack of intention in government regarding recycling, avoiding improper landfilling, and avoiding illegal dumping of construction and demolition waste as major issues. The study finally concluded the necessity of modified rules and regulations regarding the disposal of construction and demolition waste.
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    AI-Driven Smart Bin for Waste Management
    (IEEE, 2020-12-10) Abeygunawardhana, A. G. D. T; Shalinda, R. M. M. M; Bandara, W. H. M. D; Anesta, W. D. S; Kasthurirathna, D; Abeysiri, L
    With increasing urbanization, waste has become a major problem in the present world. Therefore, proper waste management is a must for a healthy and clean environment. Though government authorities in most countries provide various solutions for waste management, solid waste tends to make a significant impact on the environment as they do not decompose easily. This research focuses on AI (Artificial Intelligence)-driven smart waste bin that can classify the most widely available solid waste materials namely Metal, Glass, and Plastic. The smart waste bin performs the separation of waste using image processing and machine learning algorithms. The system also performs the continuous monitoring of the collected waste level by using ultrasonic sensors. A dedicated mobile application will generate the optimal routes for the available waste collectors to collect the filled bins. Moreover, with this smart bin, the challenge of recognizing each waste item is overcome by using visual data as the source. Therefore, the usage of expensive sensor devices and filtration techniques to determine the category is disregarded. The smart bin can recognize the category of solid waste, collect it to the specified container, and notify the garbage level in each container. So, it is a portable waste management system.