South Eastern University of Sri Lanka

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    In the context of Sri Lanka, where agriculture, particularly paddy cultivation, plays a crucial role, farmers face significant challenges due to weed infestation. Unlike some other countries that have embraced machine learning technologies to address these issues, Sri Lanka has yet to adopt such advanced solutions. To tackle the pervasive weed problem, a research initiative was undertaken to develop a mobile application capable of identifying weed types. The methodology involved utilizing Convolutional Neural Network (CNN) pre-trained models, namely ResNet-50, Inception-v3, and VGG16, along with the Google Colab platform for training the dataset. Among the three models, VGG16 demonstrated the highest accuracy, making it the chosen model to further the research. The primary goal was to achieve a superior level of accuracy in detecting weed species in rice fields. The research team focused on delivering a mobile application with a high level of accuracy to identify and classify weeds in paddy fields. The integration of advanced technologies, such as IoT and machine learning, aimed to provide Sri Lankan farmers with an efficient and effective tool to combat weed-related challenges in their agricultural practices

    Impact of green marketing strategies on business performance in hotel industry

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    , Purpose: Service business firms like hotel industries have now paid their attention on its business activities by considering environmental friendly marketing activities called as green marketing strategies. Since previous findings of studies conducted in green marketing strategy and firm performance also vary this contradiction led to carry out a study on green marketing strategies and business performance in hotel industry in Ampara Coastal Belt of Sri Lanka. Objective of this study is to know the impact of green marketing strategies on business performance in hotel industry. Methodology: This study undertook a systematic review of green marketing strategies and business performance and developed a research framework. This study is a survey method that used a questionnaire to collect data from a sample size of 121 hotel owners and hotel workers. Descriptive statistics were used to describe demographic variables of the sample respondents. Findings: As per the results of correlation, 4 green Ps such as green product, green physical evidences, green people and green process of green marketing are having strong correlation with business performance. 3 green Ps such as green price, green place and green promotions are having low correlation with business performance. However, as per the regression analysis, all the 7 green Ps are influencing business performance of hotel industry to a greater extent. Practical implications: Hotel industry needs to focus mainly on green product, green physical evidence, green people and green process of green marketing strategy for enhancing their business performance. Green customers do not prefer green price. Thus, hotel industry owners need to pay special attention on green pricing to convince green price. Originality value: This study adds value to literatures in the field of green marketing. In addition, this study gives awareness to green marketing to service sector like hotel

    Evaluating the effectiveness of homomorphic encryption in big data: a descriptive and diagnostic analysis

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    The ever-increasing volume of data generated from various sources, including the Internet of Things (IoT) and digital channels, presents a significant challenge for organizations. This rapid growth often necessitates offloading data analysis to the cloud due to limitations on local server capacity. However, security concerns arise when analyzing sensitive data in the cloud environment. Traditional encryption methods, while effective in protecting data at rest, require decryption prior to analysis, potentially exposing sensitive information. On the other hand, Homomorphic Encryption (HE) is gaining popularity as it – offers a solution by enabling computations to be performed directly on encrypted data. This paper investigates the effectiveness of homomorphic encryption on big data through descriptive and diagnostic analyses. Result suggest that this approach is better in terms of execution time and is particularly well-suited for big data analytics due to its inherent scalability

    The factors influencing the smart banking application: a study of the Banking Industry in South Eastern Region, Sri Lanka

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    Purpose: This study examines the factors influencing the adoption and use of smart banking applications in the banking industry in the South Eastern region of Sri Lanka. It seeks to identify key determinants, including technological, behavioral, and environmental factors, that contribute to the successful implementation of smart banking solutions. The research highlights the role of user perception, trust, security, and the convenience offered by such applications in driving their adoption. Design: The study employs a mixed-method approach, combining quantitative data gathered through structured surveys distributed among customers and qualitative insights obtained through interviews with banking professionals. The Technology Acceptance Model (TAM) framework is applied to analyze the data. Statistical tools, such as regression analysis and correlation analysis are used to determine the significance of various factors. Findings: The findings reveal that ease of use, perceived usefulness, and trust significantly influence customer adoption of smart banking applications. Additionally, factors such as the availability of robust security measures, compatibility with user needs, and the role of banking staff in promoting these technologies are critical. The study highlights that socioeconomic and cultural elements unique to the South Eastern region also play a pivotal role. Practical Implications: The results provide actionable insights for banks to enhance the adoption of smart banking applications. Recommendations include investing in customer education programs, strengthening security protocols, and designing user friendly applications tailored to local needs. This research also highlights the need for policy support to encourage technological advancements in the banking sector. Originality Value: This study contributes to the limited literature on smart banking application adoption in Sri Lanka, mainly focusing on the South Eastern region. It offers a comprehensive understanding of both customer and institutional perspectives, addressing a significant gap in regional research and providing a foundation for future studies

    Work life balance and its individual level antecedents: special reference to academic and administrative heads of the universities in Sri Lanka

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    Purpose: This paper explores the impact of individual work life balance antecedents such as personality wellbeing and time management on work life balance of the North and Eastern province university academic and administrative heads in Sri Lanka. Design/methodology/approach: The survey method was employed to gather data from the North and Eastern province Universities such as the University of Jaffna, Eastern University, South Eastern University of Sri Lanka and Vavuniya University academic and administrative heads were taken into consideration. The sample size is 339. Of these, 257 were returned (75.8%) and utilized, and a strong analytical process followed. Findings: The study outcomes show that individual work life balance factors of personality wellbeing and time management have considerable strength in work life balance. Practical implications: The study offers support and a path for the Sri Lankan higher education segment. Additionally, the study's outcome would facilitate a direction for the university's academic and administrative heads to improve their work life balance by using these individual factors. Originality value: This study is beneficial for policymakers in higher education to think about the individual aspects such as personality, wellbeing and time management to improve the work life balance of their employees

    To investigate the effect of nano edible coating on shelf life of guava

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    Guava (Psidium guajava) is one of the popular fruits in Sri Lanka. Due to high perishability postharvest loses are high as 40 %. Study was designed to formulate nano edible coat using varying quantities of bee wax (0.005 %, 0.001 %, 0.015 %), nutmeg essential oil (50 µl, 100 µL, 150 µL), with aloe vera, coconut oil and Tween 20. The nano emulsions were prepared with an ultrasonic cell crusher (Labtrone, China) at 20Kz for 20 minutes. The experiment consists with three treatments with positive (Coated guava + KMnO4 1g sachet) and negative control (Uncoated guava). Guava samples were placed in perforated corrugated boxes and stored under (25±2 ℃). Physical (colour, firmness, weight loss, marketability) physiochemical (brix value, total ascorbic acid content, total acidity) and sensory properties (5- point hedonics scale) were evaluated with 3 days intervals. The data were analysed with one-way ANOVA (p=0.05). The result revealed that Treatment 2 (0.001% bee wax+ 100µL nutmeg essential oil) had the lowest brix value (6.00±0.00) was significantly difference from the positive and negative controls (p˃0.05). Lowest marketable percentage was observed in the negative control group, that was significantly different (0.83±0.05%) from the coated guava (p˃0.05). Lowest weight loss (0.23±0.02g) of Treatment 02 was significantly different between the two controls (p˃0.05). Treatment 02 was exhibited the maximum firmness value (717±186g), the lowest pH value (4.12±0.02), the lowest acidity (6.00±0.64 mg/100g) and ascorbic acid content (1.18±0.36 mg/100g). It has recorded highest score for all the sensory attributes during 15 days of storage period at 25±2

    Development of an organic liquid plant growth booster formulation

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    Organic fertilizers, derived from plant, animal, or mineral sources, play a pivotal role in sustainable agriculture by enhancing soil fertility and contributing to a positive ecosystem. Unlike synthetic fertilizers, known for rapid nutrient release and potential environmental harm,organic fertilizers release nutrients gradually, meeting plant requirements while reducing leaching. Aligning with ecological farming principles, organic fertilizers minimize the carbon footprint in agriculture. However, current organic liquid fertilizers exhibit limited boosting ability compared to chemical growth boosters, affecting flower and yield outcomes. This studyaims to develop an organic liquid fertilizer with growth and yield-boosting capabilities along with pest control properties. The fertilizer, fermented and prepared using banana, papaya, woodapple fruits and peels, moringa tender leaves and flowers, neem tender leaves, wild sunflower leaves, molasses, and old compost as an inoculum, resulted in two formulations: raw liquid fertilizer and nano emulsion liquid fertilizer. Testing these formulations on okra plants under sixtreatments, in comparison with Albert Solution® chemical liquid fertilizer, revealed significant differences in plant height, number of leaves, and yield (P<0.005). The highest yield was observed in treatments cultivated in topsoil + liquid fertilizer, while lower yields were recorded in liquid fertilizer + sand media. However, consistently higher yields were obtained in topsoil and compost-treated plants with organic liquid fertilizer. The days of flowering onset were influenced by the liquid organic fertilizer, with the nano emulsion formulation showing an average flowering onset of 53 days. However, these preliminary results suggest a possible positive effect on plant growth and yield increase, but further experiments are required for conclusive result

    Enhancing the ionic conductivity of PVDF-HFP gel polymer electrolyte for alkaline earth metal ion batteries

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    The electrolyte is the key component of alkaline earth metal ion batteries and the ionic conductivity of the electrolyte is one of the most important parameters of the battery electrolyte. Gel polymer electrolytes (GPEs) offer unique advantages by overcoming the limitations associated with both liquid and solid electrolytes, while retaining desirable properties from each type. The present study aimed to synthesize and characterize poly (vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) based gel polymer electrolyte in order to improve the conductivity of GPEs. Further, to enhance the ionic conductivity of the PVDF-HFP based GPE, appropriate amount of MgCl2 and of CaCl2 has been incorporated in the electrolyte separately.15% Mg2+ incorporated PVDF-HFP electrolyte shows higher ionic conductivity of 3.3060×10-3 S cm-1 that of 15% Ca2+ is 2.1141×10-3 S cm-1. The ionic conductivity of GPEs further enhanced by adding TiO2 nanoparticles as nanofillers. PVDF-HFP+15% Mg2+ with 0.075% TiO2 electrolyte exhibits greater ionic conductivity of 4.3307×10-3 S cm-1 while PVDF-HFP+15% Ca2+ with 0.05% TiO2 electrolyte shows ionic conductivity of 3.0594×10-3 S cm-1.The variation of ionic conductivity with temperature ranging from 25°C to 60°C of the PVDF-HFP+15% Mg2+ electrolyte and of PVDF-HFP+15% Ca2+ electrolyte was analyzed and the activation energy of each electrolyte was then obtained. The activation energy of the PVDF-HFP+15% Mg2+ electrolyte and PVDFHFP+ 15% Ca2+ electrolyte was found to be 0.71059×10-4 eV and 1.43454×10-4 eV respectively. This study implies that PVDF-HFP based gel electrolyte can be a suitable candidate for the alkaline earth metal ion batteries

    The impact of human resource management practices on employee’s job performance – a study on insurance companies in Ampara district

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    Purpose: This research was conducted investigated the impact of human resource management practices namely compensation, training and development and promotion policy on job performance of employees in insurance companies in Ampara district. Design/methodology/approach: A total number of 100 questionnaires were distributed to the all employees in the insurance companies in Ampara district. This study used the survey method. Self-administered questionnaires were distributed among the respondents to collect the data. Gathered data were presented in graphs and tables to explain the pattern of responses. Results obtained from descriptive, correlations and regression analyses were used for interpretations. Findings: This study has indicated that compensation, training and development, promotion policy have impact on employee’s job performance. Result indicated that compensation showed a positive correlation with job performance, the regression analysis suggests it may not be a significant predictor. Training and development, promotion policy was confirmed to have positive and significantly associated with employee’s job performance in insurance companies in Ampara district. Practical implications: This research has shown that the employees work in the insurance companies in Ampara district are aware about their human resource management practices impact on employee’s job performance. This finding will be useful for insurance companies to increase employee’s job performance. Originality value: This study reveals that human resource management practices is important to the insurance company employees to increase their job performance

    Creation of a dairy-free and lactose-free beverage: harnessing the richness of coconut milk infused with roasted barley

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    A well-liked and adaptable non-dairy substitute that has become very popular in recent years is coconut milk beverages. The main objective of this study is to optimize the roasting process of barley and formulate a dairy-free and lactose-free beverage. Ready-to-serve beverages were prepared with the incorporation of roasted barley. To the mixture in different ratios and roasted barley powder and other ingredients, including xanthan gum for stabilization, sugar, coco powder and chocolate flavour were added. The mixture was then filled into clean, sterilized glass bottles and sealed manually. Afterward, sealed bottles were sterilized. Prepared samples were kept at room temperature (29 ºC) for a one-month period and analysed. The produced beverages were evaluated for physiochemical and sensory parameters, yeast and mold count and total plate count stored once a week using the sensory evaluation for different treatments was carried out using 9-point hedonic scale testing for taste, texture, colour, odour, flavour, and overall acceptability. The data were analysed using SPSS software at the 0.05 significant level. No significant quality changes of beverage samples were observed during storage. Based on the sensory evaluation, the beverage at 230⁰C, 40 min and 228g:6g had the highest mean score for overall acceptability and there was no microbial count detected at one-month storage. The study concludes that the optimized roasting process of barley, combined with specific ratios of coconut milk, results in a stable, nutritionally rich, and well-accepted dairy-free beverage with sustained quality over a one-month storage period

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