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- Item3D Low Poly Animations as Teaching Aids for Pre-school Children(NSBM Green University, 2020-06-20) Neelarathna, G.N.
- Item3D Walk-through at NSBM(NSBM Green University, 2019-11-22) Manujaya, D.; Jayamanne, D.In this work, a 3D Virtual Walk through of NSBM using the Unity Game Engine is presented. The walk-through includes real life and detailed 3D models of buildings and objects. The buildings are modelled using SketchUp including the interiors. All buildings and objects are approximately modelled to scale. Objects are also modelled using SketchUp where possible. All other models which require more details are modelled using 3Ds Max and Blender. As the walk-through is started, a user is dropped in front of a building. Then, the user can control the camera using the mouse. The arrow keys are used to move forward, back, left and right in the virtual environment. Also, the user is able to navigate inside the buildings, walk into rooms and open doors. The light source above the ground that imitates the sun provides lighting and shadows for the buildings and trees. There are separate light sources inside each room to model the actual lighting conditions we observe in real life. All lighting is handled using the Unity Engine. In this work, the user has the freedom to move the camera wherever the user desires in the given area as there are no fixed cameras, predefined paths, and environmental hotspots. However, the user is able access any part of the model if it is physically possible.
- ItemA Case Study On Customizing The Microsoft Time Series Algorithm: Tourist Arrival Prediction(NSBM Green University, 2018-08-25) Nawzer, H.; Weerasekara, M.K.As far as tourism is concerned in Sri Lanka, it is considered as one of a lucrative industry for the country. On the other hand, in the modern computing era business intelligence plays a revolutionary role in uplifting the profits of business organizations. The research is about how the Microsoft Time Series algorithm can be improvised to predict the arrival of tourists. The algorithm employed for the tourists who arrived for Sri Lanka in past few decades. Furthermore, this study discusses the drawbacks of the existing Microsoft Time series algorithm concerning the consideration of the external factors which affects the prediction. Also, this study discusses some of the possible solutions to overcome that issue.
- ItemA Challenge from Humanoid Bots: An Analysis of the Legal Regime in Sri Lanka on Artificial Intellegence(NSBM Green University, 2019-11-22) Ariyadasa, A.Sofia, the world’s best-known humanoid bot has challenged legal regimes in the world. Rapid and unregulated development of Artificial Intelligence (AI) has major repercussions for Legal personality. AI which is a specialized area of Information Technology (IT), focuses on the simulation of human intelligence processes by machines has become an important area in the ongoing global fourth industrial revolution. This new development has created opportunities as well as the challenges everywhere in the global society, has not been sufficiently investigated in Sri Lanka. In this Back drop, this paper explores current legislation, policies and legal regulations of AI in Sri Lanka with two other jurisdictions in order to sort the solutions to the research problem which questions the sufficiency of the legislation to protect AI status of BOTS in order to reach its main objective to examine the challenges of AI on the legal regime paying special emphasis to Sri Lanka. The research rested on qualitative approach to study by usage of primary and secondary sources, materials included national and international legislation, academic and media data. The study stood on the comparative legal analysis, integrated legal interpretation and modeling. In addition to that, key informants were interviewed where necessary to construct strong arguments and balanced conclusions or recommendations. This research argues that special emphasis should be laid to the prospective of treating AI as an autonomous legal personality and separate subject of law and control. The article identifies major approaches in legislation and practice on national regulation of AI and explores a number of current options: AI as a subject of law introduced into national legislation without prior background, AI as a subject of law equal to a person, and regulated or not regulated by separate rules of law, etc. Findings laid grounds to conclude that Sri Lanka has not still been prepared for the challenges posed by AI within the legal system of the country. Some awareness and preparedness are visible in exploiting the opportunities offered by the AI. The legal educational institutions are slowly working to expand the AI components to their study programs. Infrastructural facilities for AI are insufficient at legal institutions in the country and for preliminary recommendations on legal drafting with regard to AI status as that of autonomous legal personality. Policy recommendation can be suggested that, it is essential to introduce accelerated programs to bridge the existing gaps in the AI in the country. Awareness programs would be useful at the initial stage covering all important layers of the legal system in the country. Some basic components should be introduced to the school curriculum to make people aware of the implications of AI on legal system of the country. Sufficient public funds should be allocated with proper planning horizons in this exercise and they can be used for development of national legislation and further research on legal aspects of robotic AI.
- ItemA Comparative Study on Customer Satisfaction of Traditional Banking and Online Banking(NSBM Green University, 2019-06-20) Peiris, T.M.M.; Samudika, D.P.D.; Pintoe, K.A.C.
- ItemA Comparison of Customer Complaint Behavior with Reference to Post Purchase of Electrical Appliances of Loyal Customers and First Customers(NSBM Green University, 2019-06-20) Mendis, D.
- ItemA Conceptual Essay on the Determinants of Healthcare Provider Choice Among Outpatients in Sri Lanka(NSBM Green University, 2023-11-24) Bandara, Y.M.S.W.With the increase in non-communicable diseases and healthcare needs of the rapidly aging population in Sri Lanka, healthcare providers are an essential part of people’s daily lives. The choice of healthcare providers varies amongst Sri Lankans, specifically when seeking outpatient treatments. The aim of the current study is to shed light on factors that lead people to choose one out of the two main out-patient healthcare providers in Sri Lanka: public and private. The current concept paper is built upon the theory of consumptions values to discern what leads people to make the choice that they make between private and public out-patient care. The prospective outcomes of this investigation hold the capacity to exert a substantial influence on both scholarly discourse and practical initiatives. They stand poised to offer invaluable direction to policymakers and institutions in their endeavors to device measures to attract and retain out-patients.
- ItemA Critical Examination of The Societal Structural Transformations in Sri Lanka Facilitated by Private Television Channels During the Turn of The Millennium: A Concept Paper(NSBM Green University, 2023-11-24) Nayanapriya, M.G.T.; Ranatunga, S.A.The invention of television diverted society onto a different path, as it entertained people with a consistent array of various content. This industry fills the gap that other sectors, such as photography and films, couldn't. However, in the context of Sri Lanka, television was introduced in 1979 with the Independent Television Network and in 1982 with the Sri Lanka Rupavahini Corporation. In the first decade of television in Sri Lanka, it aimed to accomplish the media literacy of Sri Lankans. However, after granting permission to private television channels to broadcast their content in Sri Lankan territory, the intention of television broadcasting changed. Due to the profit oriented journey among Sri Lankan television channels, their intention shifted towards grabbing the audience's attention by telecasting entertaining, educational, and other important content. This trend mainly improved with the beginning of the year 2000, a remarkable year that people all over the world had awaited, believing it would change traditional aspects of the world. This ideology influenced television channels in Sri Lanka, and private television channels always tried to capture the attention of Sri Lankan audiences with entertainment-oriented programs. This effort was a success, and the Sri Lankan community frequented those entertainment programs. As a result, a significant impact occurred in the society of Sri Lanka because of these programs. This trend mainly caused the establishment of pop culture in Sri Lanka When considering history, we can clearly identify how the behavior of private television channels in Sri Lanka directly influenced societal, political, and cultural changes in the country.
- ItemA Critical Review on the Foreign Trade Policy, Export Potential amidst COVID-19; The Role of Institutions and Policy Reforms Required in Sri Lanka(NSBM Green University, 2020) Gamage, K.G.C.D.The global economy is heavily impacted by the ongoing calamity, COVID-19. The pandemic impacts the global economy both directly and indirectly and its consequences on the economy will last for a long period of time. Given that, it will exacerbate the critical position of Sri Lanka, being a country, whose trade policy has not been sound and engaging in a continuous struggle over the years to create sustainable foreign trade policy. This paper examines the impact of COVID-19 on the Sri Lankan economy with a special reference to foreign trade policy. This study is primarily based on a review of secondary data and literature. This paper critically reviews and analyses the foreign trade policy of Sri Lanka since the time the country became an open economy. In doing so, it mainly identifies the factors which have led to poor export performance, the untapped export potential of the country and the opportunities COVID-19 has given to rethink and reform in terms of foreign trade policy.
- ItemA Diabetes Care System During a Pandemic Situation(NSBM Green University, 2021-11-26) Kularathna, P.; Fernando, S.End of 2019 a new virus was found known as COVID-19. Due to this pandemic situation, it is very unsecure to meet up many people together at one place. It is a huge problem for the people to do their day today activities properly. “Background COVID-19 pneumonia is a newly recognized illness that is spreading rapidly around the world and causes many disability and deaths. Some diseases, for instance diabetes, is continuously suggested as a risk factor which contributes to the severity and mortality of COVID-19”(Abdi et al., 2020). Hospital is a one of the places where people take huge risk due to this problem. So, to be sure about protectiveness about the diabetes patients in the hospital there should be a computerized system where patients can take their treatments by staying at home. Every treatment needs to be taken by visiting the hospital. But it is not good with the present situation and difficult to manage. So, we have developed a hospital management system where patients and doctors can communicate with each other in the best manner. This system is specially developed according to the situation most people face today. Visiting the hospital and taking medicine is very difficult these days. Because there is a huge queue to take medicine. And as well some patients do not have time to stay in the hospitals for a long time because of their busy work schedule and as well as the COVID 19. And some patients are not able to visit the doctor alone. In the proposed system the patient can take their treatment by staying at home. In this system, patients need to register first and can upload their reports to the system. Then after doctors can log in to the system and can give prescriptions to the patients according to their disease. After doctors prescribe medicines pharmacists can download it and deliver the medicines to the patents. Pharmacists can send messages to the patients via email. So, patients can take their medicines without any delay. By this system patients and doctors can chat with each other. So, they can have a better service and interaction between them. So, that the spreading diseases like COVID 19 can be minimized.
- ItemA Housing Price Prediction and Forecasting System for Sri Lanka(Nsbm Green University, 2022-11-25) Ekanaayke, E.M.S.K.; Vidanagama, D.U.Nowadays Machine learning can be identified as trending technology. The objective of the project is to forecast and estimate a fair price for a home using a variety of machine learning algorithms, and to select the models with the highest accuracy rating to do so. To determine the best price to purchase a home, both the developer and the client can benefit from house price prediction. House prices are influenced by numerous factors. Location, concept, and physical condition are the three broad categories into which these variables can be divided. Examples of physical conditions that can be perceived by the human senses include the size of the house, the number of bedrooms, the presence of a garden, the size of the land and other structures, and the age of the house. A concept, on the other hand, is a recommendation made by developers to entice potential customers. The goal of this project is to improve communication between the buyer and the seller. After examining several ML models, the Random Forest Regression model was chosen to train the data set. The Housing Price Prediction System was created using the dataset of Sri Lankan housing prices. Future house price projections were made using the ARIMA model. The Buying and Selling Platform has been integrated with the prediction and forecasting feature. This System will assist buyers and sellers in establishing trust with one another. Finally, the system's predicted price and the sold price of the house will be shown close to the advertisement. This will make it easier for buyers and sellers to comprehend how machine learning techniques can be used to predict prices that differ from the actual price.
- ItemA Methodology for The Use of Long-Range Dependency and Machine Learning Algorithms for Rainfall Forecasting(NSBM Green University, 2023-11-24) Hasadara, K.D.H.Forecasting rainfall is found to be an important indicator to the undisturbed continuation of social and economic activities. This derives the significance of predicting rainfall, providing better decision making in sectors such as agriculture, power, and tourism. This paper discusses the methodology behind applying long range dependency and machine learning in rainfall forecasting. It was determined that a time series should be established with data from past rainfall figures. This data will be analyzed through the Auto Correlation Factor (ACF) and the Partial Auto Correlation Factor (PACF) to check for seasonality and to identify the lag after which the other lags are insignificant. A time series process is categorized as long memory if the serial dependence or the ACF decays slower than an exponential decay. An exponentially decaying ACF can be categorized as having short memory. The spectral density of the time series will also be measured to gauge how far the peaks are from zero. The times series with peaks closer to zero will be considered as standard long memory, while the further peaks will be categorized as generalized long memory. The Ljung-Box Test and the Brusch-Godfrey Test will be used to assess whether any group of autocorrelations are different from zero. Based on the outputs from this analysis, it is possible to apply the time series into models such as ETS and ARIMA for prediction. The residual values from the models can determine the best fit model. Which can be further verified through machine learning.
- ItemA Network Model to Detect the Digital Manipulation in Document Images(NSBM Green University, 2021-11-26) Sudharshan, A.; Vidanage, K.Digital images usage has rapid growth with increase of internet usage, digital document images are commonly used for sharing information or as submission as proof of information in online systems. This project focuses on developing a deep neural network model to detect the digital manipulation in document images that can be deployed on mobile and edge devices. The proposed model is based on semantic segmentation and modified to use two encoder blocks with one block taking noise generated images as input. Noise is generated utilizing the steganalysis rich model filter layer which creates local noise distribution to extract features from noise inconsistency from manipulated regions of the image. In this project the model is trained on a dataset created using splicing and copy-move digital image manipulation techniques. The authentic images are based on the PubLayNet document image dataset. The model is converted into edge device compatible format so it can run prediction on 32-bit processor systems and doesn’t require a high performance compute device connection.
- ItemA Novel Approach to Solving the Fuzzy Assignment Problems(NSBM Green University, 2023-11-24) Ekanayake, E.M.D.B.; Ekanayake, E.M.U.S.B.The most successful and practical approach to solving an optimization problem is linear programming. A prime scenario of a problem is a situation where all the constraints are linear and either the function is inequalities or equivalent. Here, the problem of maximizing or minimizing an objective function was the key thing. Due to these factors, numerous types of optimization problems developed. Such as the problems with scheduling, transportation, and engineering. In the fields of logistics and business operations, for example, assignment problems are quite important. To optimally allocate a set of resources to a set of tasks is the main goal of the classical assignment problem in mathematical optimization. Here, resources should be distributed among each other so that costs are minimized. In solving such problems, the Hungarian method can be pointed out as one of the most successful and widely used methods. However, problems are created with some uncertainty or ambiguity in solving them in the real world. When the cost values related to the assignment problem cannot be expressed precisely, fuzzy theory is used for a range of values. It has created fuzzy assignment problems. The main purpose of these problems is to develop ways to minimize the total cost of resource distribution. There are many techniques for fuzzy set theory and fuzzy optimization in linear programming. Also, to solve the problem, researchers have proposed different methods to obtain an optimal or near-optimal solution. Thus, the purpose of this research paper is to address the above mentioned point. For that, a new alternative method was proposed in this research paper, and its efficiency and correctness have been shown by solving numerical problems using MATLAB software.
- ItemA Novel Cryptography Scheme as a Variant of the ElGamal Algorithm(NSBM Green University, 2022-11-25) Chathurangi, M.; Ranasinghe, R.ElGamal algorithm was introduced by Taher ElGamal in 1985 and it is one of the most widely used public key algorithms in the world. Many researchers throughout the world propose new variants for the ElGamal algorithm to increase its security. In the present study, we introduce a new variant for the ElGamal encryption which is designed under three basic steps: key generation, encryption, and decryption. We have improved the key generation using the key generation technique of the RSA algorithm and ElGamal algorithm. As we combine both algorithms, the security of the proposed algorithm is achieved by the discrete logarithm problem from the ElGamal algorithm and the factorization assumption from the RSA algorithm, both of which are considered advantageous. Moreover, the use of multi-primes enhances the security of the proposed system.
- ItemA Novel Cryptosystem Using Multipartite Graphs(NSBM Green University, 2022-11-25) Weerarathna, M.D.M.C.P.; Perera, A.A.I.; Ranasinghe, P.G.R.S.Graph theory has a special role in mathematics, both in the abstract and in the applied sense.Therefore, over the years it has attracted mathematicians in diverse disciplines with wide range of applications such as in Computer Science, Engineering, Biology, etc. One such area of application is the use of Graph theoretic concepts in implementing Cryptography algorithms. The introduction of the notion of a graph dated back to 1736 when Leonhard Euler answered the famous Königsberg Bridge Problem in the negative. A graph 𝐺 is a union of finite non-empty set of elements called vertices 𝑉(𝐺)and a set of unordered pair of elements of 𝑉(𝐺) called edges,𝐸(𝐺). Cryptography is the art of securing information so that only the intended party received the information. The process of converting a given message (plaintext) to a secure form (ciphertext) is called encryption while the reverse process is called decryption. In the present study, we encrypt a given message into multipartite graphs to form the ciphertext using the proposed encryption algorithm and it is converted into plaintext by using the decryption algorithm. As a future work, we are planning to introduce an encryption and decryption algorithm by using graph factorizations.
- ItemA Novel Encryption Algorithm using Skolem Graceful Labeling(NSBM Green University, 2023-11-24) Weerarathna, M.D.M.C.P.; Perera, A.A.I.; Ranasinghe, P.G.R.S.Throughout generations, Graph Theory and Cryptography have gone hand-in-hand as intriguing subject areas with many real-world applications in diverse disciplines; Computer Science, Engineering, Biology, etc. A graph 𝐺 is defined as a union of a finite non-empty set of elements called vertices 𝑉(𝐺), which are associated by a set of lines called edges, 𝐸(𝐺). In the present study, Graph Labeling is used to implement a new Cryptography algorithm by generating a key from a constructed polyalphabetic table which is denoted by (𝐺, 𝑙, 𝑘), where 𝐺, 𝑙, and 𝑘 represent the Skolem graceful labeled graph, the size of a block, and the shifting value, respectively. The Polyalphabetic table was constructed using the Skolem graph labeling of Lobster graph 𝐿3(2,4). Cryptography is the science of securing information by converting readable format to unreadable format. The process of converting a given format is called encryption while the reverse process is called decryption. We encrypt a given message into the ciphertext using the polyalphabetic table with the help of the Skolem graceful labeling, and is converted into the plaintext by using the decryption algorithm. As a future study, we are planning to extend this idea to an encryption and decryption algorithm by using graph factorizations and different graph labeling methods.
- ItemA Principal Component Approach for Measuring Investor Sentiment(NSBM Green University, 2019-11-22) Weeraratne, S.Main objective of this study is to understand the sentiment effect in Sri Lankan market while developing an aggregate investor sentiment index. Even with a rich literature on the subject matter, it was understood that empirical findings relevant to Sri Lankan market are minimum. Given this context, current study attempts to test the sentiment effect over a sample period of 96 months, based on all the listed entities at Colombo Stock Exchange. The results suggest existence of sentiment at a marginal level. Upon a comprehensive analysis of number of different sentiment indicators, the study suggests four measures based on extant literature and expert advice. This paper develops a comprehensive index to measure the sentiment of the Colombo stock exchange. The index is a linear combination of four sentiment proxies whose weights are obtained via the principal component method. The study promotes sentiment-based trading rules, which are known to be profitable. The results in this paper provide useful information for investors, business-cycle researchers and academics.
- ItemA Review of Methodological Choices in Green Human Resource Management Research(Nsbm Green University, 2022-11-25) De Silva, K.The paper presents a methodological review of Green Human Resource Management (Green HRM) research published from the year 2017 to 2022. Applying content analysis with systematically selected 18 journal articles, it reviews methodological choices of empirical studies done in the field of Green HRM based on research design, methods of sampling, methods of data collection, variable measurement, validity, and reliability and methods of data analysis. Findings disclosed a variety of methodological choices utilized by researchers in Green HRM. Many of the studies followed quantitative approach with cross-sectional design. Lack of qualitative research was found in the field, and they followed grounded theory approach. Noteworthy methodological gaps were discovered that could inspirit future studies. This review fills the absence of methodological reviews done in Green HRM research and provides an increased comprehension of the methodological stances in current research. Further it provides important future directions to the methodological advancement of Green HRM research.
- ItemA Review of Methodological choices relating to Employee Turnover in Female Dominant Service Industries(Nsbm Green University, 2022-11-25) De Silva, K.Studies on female employee turnover in service sector businesses published between 2012 and 2022 were subjected to a methodological evaluation. This review methodically chose 31 journal papers detailing employee turnover in female dominated industries. Articles were evaluated based on methodological decisions such as type of data and data sources, data collection method, sample techniques, overall research design, data analysis method, validity, and reliability. Researchers employed various methodological viewpoints to perform their studies, as evidenced by the review's findings. The majority of studies in the subject took a quantitative approach, and all studies describing employee turnover in female-dominated industries were field studies with a cross-sectional design. Primarily, grounded theory served as the foundation for qualitative studies in this field. There were significant methodological inadequacies that could be addressed in future research. Moreover, significant recommendations were made about the selected studies reliability and validity measures