Books / Book Chapters

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    Learning Style Preferences of Business Students in Saudi Arabia
    (IGI GLOBLE Scientific, 2024) Rajapakshe, W
    This chapter describes different types of learning style models It further explores Saudi Arabian business students' behavior regarding their preferences for different learning styles, as defined by the VAK learning styles model. 138 respondents who registered for theoretical courses and 128 for mathematical courses participated in the study. The data was gathered using a VAK modality questionnaire. The analysis indicated an apparent inclination towards multimodal learning compared to unimodal learning, with visual learning being the most favored unimodal mode. Moreover, the results of the independent sample t-test reveal no statistically significant difference in preferences among students enrolled in theoretical modules and those enrolled in mathematical modules.
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    Addressing Academic Stress: Implications for Female Students in Saudi Arabia
    (IGI GLOBLE Scientific, 2024) Rajapaksha, W
    Saudi Arabia's higher education policies have propelled a surge in female enrollment, mitigating female unemployment and bolstering the Saudization initiative. This surge in national education has curbed reliance on foreign institutions and facilitated access to higher education for local high school graduates. However, despite these advancements, student dropout rates and academic underperformance persist. This study investigates the influence of stressors on academic performance among female students in Saudi Arabia. Findings indicate that academic stress and stressors related to personality significantly affect academic performance, while stressors linked to career paths do not exhibit a similar impact.
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    සමාජ ගවේෂකයා - ශාස්ත්‍රීය පර්යේෂණ ක්‍රමවේදය: මූලිකාංග, විධික්‍රම සහ භාවිතය
    (මිනිමුතු ප්‍රකාශකයෝ, 2022-01-01) සාලිය, සී. ඒ.
    මෙම කෘතිය කොටස් පහකින් සමන්විත වේ. පළමු කොටසේ පරිච්ඡේද පහක් පුරා ශාස්ත්‍රීය පර්යේෂණයේ විශ්ලේෂණාත්මක සමාලෝචනයක් (an overview) සහ එහි පසුබිම සාකච්ඡා කෙරේ. දෙ වැනි කොටසේ පර්යේෂණ ගැටලු සැකසීම, ප්‍රකාශන පත්‍රිකා සමාලෝචනය සහ දත්ත රැස් කිරීමේ ක්‍රියාවලිය ද (articulation of problem statement, reviewing relevant existing knowledge and data collection), තෙ වැනි කොටසේ පර්යේෂණයක් සඳහා අනුගමනය කළ හැකි උපායමාර්ග නැතහොත් පර්යේෂණ ක්‍රමෝපායයන් ගැන පරිච්ඡේද 15කින් (Chapters 9 – 23) සවිස්තරාත්මක ව ඉදිරිපත් කොට ඇත (Quantitative, Qualitative and Mixed method). සිව් වැනි කොටසේ විවිධ පර්යේෂණ විධික්‍රම (methods) ප්‍රායෝගික ව ක්‍රියාවට නගන අයුරු සාකච්ඡා කෙරේ (data analysing, interpreting and drawing conclusions). මෙය ඉදිරිපත් කොට ඇත්තේ ජාත්‍යන්තර සඟරාවල ප්‍රකාශනයට පත්කරන ලද කර්තෘගේ ම පර්යේෂණ පත්‍රිකා කිහිපයක් (ශ්‍රී ලංකාව සම්බන්ධ පර්යේෂණ පත්‍රිකා කිහිපයක් ද ඇතුළු) සංක්‍ෂිප්ත ව ඉදිරිපත් කොට විවිධ පර්යේෂණ ක්‍රමෝපායයන් ක්‍රියාවට නගන අයුරු (applications) පැහැදිලි කිරීම් මඟිනි. පස් වැනි කොටසේ පර්යේෂණ පත්‍රිකා සැකසීමේ ක්‍රමවේදය සහ ජාත්‍යන්තර සඟරාහී ප්‍රකාශනයට පත්කිරීම පිළිබඳ ක්‍රියාවලිය ඉදිරිපත් කෙරෙන්නේ ඔබගේ පර්යේෂණයන් ප්‍රකාශනයට පත් කිරීමට අවැසි මඟ පෙන්වීමට ය. හැඳින්වීම් පරිච්ඡේද සමඟ සියලුම පරිච්ඡේද ගණන 30කි. මෙහි ඇති අන්තර්ගතයන් සාමාන්‍යය උපාධි අපේක්‍ෂකයින් මෙන් ම පශ්චාත් සහ අචාර්ය උපාධි සඳහා අධ්‍යයනයේ යෙදෙන අයටත්, පර්යේෂණයක් නිමා කොට වැදගත් ආකර්ශණීය සොයාගැනීම් පර්යේෂණ පත්‍රිකා ලෙස ප්‍රකාශනයට පත් කිරීමට අපේක්‍ෂා කරන ශාස්ත්‍රඥයින්ට මෙන් ම සාමාන්‍යය බුද්ධිමත් පාඨකයින්ටත් එක සේ වැදගත් විය හැකි ය. තවදුරටත් මෙම ග්‍රන්ථය උපයෝගී කර ගනිමින් පාඨමලාවක් ඉදිරිපත් කිරීමට ද ඉඩ ප්‍රස්ථාව ඇත.
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    Regaining construction momentum
    (Sri Lanaka Economic Association, 2020-08) Jayathilaka, R; Gunaratna, K. L
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    An Empirical Study on Paddy Harvest and Rice Demand Prediction for an Optimal Distribution Plan
    (wiley, 2022-03-04) Rankothge, W. H
    This book provides the state-of-the-art applications of Machine Learning in IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’ and intelligent transportation systems. Readers will gain an insight into the integration of Machine Learning with IoT in various application domains.
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    Predicting the academic performance of students using utility-based data mining
    (IGI Global, 2020) Liyanage, S. R; Kasthuriarachchi, K. T. S
    Data mining in education has become an important topic in the sphere of influence of data mining. Mining educational data encompasses developing models, plotting data, and utilizing machine learning algorithms to derive patterns on educational data by attempting to uncover hidden patterns, create information for hidden relationships using educational statistics, and perform many more operations that are unfeasible using traditional computational tools. This research aims to identify the main factors that influence the academic performance of learners in tertiary education system in Sri Lanka. A conceptual framework and an analytical framework on factors affecting the academic performance was constructed with this aim. The analytical framework was then validated with the data collected from technology learners in a tertiary educational institute.
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    Where Ethics and Culture Collide: Ethical Dilemmas in Grief Work Following the Easter Sunday Attacks in Sri Lanka
    (Springer, Cham, 2021-05-23) Abeysinghe, N; Ekanayake, E. S
    The success of mental health care for individuals and affected communities is strongly connected to the service providers' adherence to ethical standards of the profession. These ethical standards aim to ensure the safety, well-being and the best possible quality of service to the service users. As trainees and novice counsellors, these aspects are discussed and learned in detail during counsellor training programmes and other courses in mental health care. Continued professional supervision is considered an essential element of providing mental health care within an ethical framework by almost all the counsellor and mental health-care professional bodies in the world. Yet, this is practiced by few practitioners in low- and middle-income countries due to the shortage of trained, accessible, experienced supervisors. In this chapter, we discuss the importance of continued supervision in a changing sociocultural context to help mental health practitioners to be alert and prompt to safeguard the clients and ensure the best possible care for them when cultural aspects and ethical standards of client care are in conflict as they some times are.
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    HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection
    (John Wiley & Sons, Inc., 2021-04-06) Jayakody, A; Edirisinghe, E. A. G. A; Lokuliyana, S
    The Hemoglobin concentration in human blood is an important substance to health condition determination. With the results which are obtained from Hemoglobin test, a condition which is called as Anemia (a low level of Hemoglobin) can be revealed. Traditionally the Hemoglobin test is done using blood samples which are taken using needles. The non-invasive Hemoglobin level detection system, discussed in this paper, describes a better idea about the hemoglobin concentration in the human blood. The images of the fingertip of the different hemoglobin level patients which is taken using a camera is used to develop the neural network-based algorithm. The pre-mentioned algorithm is used in the developed non-invasive device to display the Hemoglobin level. Before doing the above procedure, an account is created in the mobile app and a questionnaire is given to answer by the patient. Finally, both the results which are obtained from the mobile app and the device are run through a machine learning algorithm to get the final output. According to the final result patient would be able to detect anemia at an early stage.
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    iParking—Smart Way to Automate the Management of the Parking System for a Smart City
    (John Wiley & Sons, Inc., 2021-04-06) Jayakody, A; Edirisinghe, E. A. G. A; Karunanayaka, S. A. H. M; Ekanayake, E. M. C. S; Dikkumbura, H. K. T. M; Bandara, L. A. I. M
    Due to the highest usage of vehicles which occurs with developing economy and the improved city modernization level, traffic congestion and parking have become one of the main social problems. Despite the progress, there is still a need for an enhanced and distributed solution that can exploit data and provide an appropriate and real-time method on parking systems. This paper describes the design and implementation of a smart parking management system (SPMS) which can solve the previously mentioned parking problem. Huge traffic causes a considerable deal of damage, like the increment of accidents, the air pollution caused by a substantial amount of CO2 released by vehicles, and the unnecessary stress on drivers who must drive in often narrow and very busy roads and time wastage to find a free spot to park. Thus, to take care of the parking issue, present day advances have been made to furnish vehicle parks with smart devices that help street clients to identify the nearest available car park. In this paper, the development of the new fully automated parking system which is called iParking is presented. IParking is a design and a development of a smart parking system that will ensure the implementation of the outdoor parking system for the Smart City concept by using image processing (IP) and machine learning (ML). With connected to smart parking, a mobile app alerts the user about available spaces and guide user to the exact location with accuracy. IParking system aims to take the driver’s stress out while finding a parking space in city centers where all cars in the city are looking for parking slots in the same time.
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    Intelligent Vision Impaired Indoor Navigation Using Visible Light Communication
    (Springer, Cham, 2020) Jayakody, A; Murray, I; Hermann, J; Lokuliyana, S; Dunuwila, V
    Recent statistics of the World Health Organization (WHO) indicate that over 253 million of the world’s population to be visually impaired. Most of these individuals use the white cane as an assistive tool or are often accompanied by caretakers or voluntary helpers as indoor navigation is particularly challenging for them. This chapter describes a substitute vision system designed to assist vision impaired individuals through the use of visible light communication and geomagnetism. Furthermore, the use of database optimization increases the speed and efficiency of data retrieval thus reducing system response time. Though navigation systems that support the visual impaired are readily available, there have been no systems that use both visible light communication and geomagnetism capable of providing accurate and secure indoor navigation assistance, which in turn would increase the overall satisfaction of the system users.