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Sinhala Sign Language Translation using Transfer using Transfer Learning
(NSBM Green University, 2021-11-26) Peries, P.K.T.; Kankanamge, P.
The automated interpretation of sign language is a challenging task to proceed, the sign recognitions required high level computer vision and the high level motion capturing and motion processing system to generate more accurate results in image perception. In previous years there was a number of research done for the communication between deaf and mute people with the society in the international context. ASL, ISL, and other sign language translation to proper text or voice from different technologies. In this study focus on the Sri Lankan Sign Language translation and making effective communication between the deaf and mute people and the society. After studying the previous technologies which focus on machine learning image classification and identification, get the successful point as well as the failures done in this research.In this thesis, the author used machine learning and transfer learning to make a system which is capable of translating Sinhala Signs into text. The model consists of the implementation of a pre-trained MobileNetV2 model. The created modelrelies on the transfer learning during the training of model and data. The research has specifically recognized 5 sinhala signs. The model was hosted on a platform and the users can use it with the web application interface which provides all the input of images as well as provide real time sign translations. The TensorFlow JS based hosted model creates json as output for the web application user end. Users can translate the Sinhala Signs real time which is more useful in the effective communication between the people who are using the Sinhala sign language for their communication. The system is capable enough for work in any kind of system which is performing heterogeneous behaviour in the context.
Energy Policy Transitions & Sustainable Innovations for Revitalizing The Indian Economy
(NSBM Green University, 2021-11-26) Jain, J.
India is on a rapid growth trajectory supported by its diverse demographic, technological intelligence and innovationecosystem. It boasts of a 1.3 billion strongpopulation, a GDP of 3 trillion USD, and ranks 48th on the global innovation index. The growth of this scale has a major impact on the use of natural resources and carbon emissions, and India is the third- largestemitter of greenhouse gases, behind Chinaand United States. In 2021, India accountedfor 3 giga tonnes of carbon or 6.8% of the total global emissions. For a vast nation like India, it is key to harmonize economic development with sustainable environmental development. The government has continuously strengthened the nation’s commitment to renewable energy sources by setting up institutions as well as by formulating policies for solar, wind and alternate fuel sources. This paper is a study of the numerous shifts in the energy policy ofIndia from fossil dependent to a producer and consumer of renewable energy sources; and how these shifts are impacting the sustainable innovations. The research is done through extensive literature review, abstraction of qualitative data, insights using secondary data sourcesand data analysis. The author criticallyexamines the relevant Indian institutions,schemes and policy initiatives to create sustainable development through alternative energy sources. The paper also sheds lighton the sustainable innovations. The paperconcludes with a focus on the innovation ecosystem setup and its impact on the Indian economy, and how this change can be leveraged to revitalize the economy.
Smart Farm for Agriculture
(NSBM Green University, 2021-11-26) Praneeth, G .A .P .P.; Subashini, K.K.P .
Global livestock farm management is rapidly changing in response to globalization and growing demand to reduce the utilization of human resources to step forward with smart farming management. At present, people tend to use IoT to bring this sector of livestock management into a smart and convenient industry by using many new technological features.When it comes to Sri Lanka, automated technology has not touched the farming sector. Farms in Sri Lanka can be categorized into livestock farming and agricultural farming. Livestock farms are maintained manually using human forces, and only a few types of machinery are used. Also, the security level of these farms is not concerned by the farmers. So, they face many security issues such as loss of animals, entry of unknowns. The farmers are less concerned about animal health conditions. Smart farm research project is focused on identify existing problems in livestock farm management and provide a solution by using new technologies.Researchers develop the “Smart Farm” software product focuses on livestock farming using IoT technologies. Also, the mobile app that built can control and manage livestock farms including user management, communication management, shift management, issue management, and controller management. The physical model farm that was created, indicates the capabilities of this project and demonstrates four key areas of cleaning unit, food feeding unit, water controlling unit and gate controlling unit. All the controllers can be easily handled through the Smart Farm mobile app
Use of Blockchain for E-Voting System
(NSBM Green University, 2021-11-26) Jayaweera, J.M.S.L.; Wijesekara, J.P.D.
Blockchain technology is gaining popularity in the past several years. It implementation ensures the ability to tackle the various challenges in different fields, including voting, finance, health care, and many more. Democratic voting process is an important and serious process in every country. The popular method for nations to vote is conventional paper voting and electronic ballot systems, Here in Sri Lanka the election is a dominant process which contributes with large amount of money and wastage of time as well as this process consists of major corruption and frauds. The Electronic Voting system is a voting system in which the voting process is recorded, copied, stored, and processed digital, allowing voting management activities easier than the traditional paper- based approach. Blockchain offers new opportunities to develop new types of applications. It provides authentication, anonymity, integrity, transparency, and accuracy. In this research Use of blockchain for E-Voting systems and reduce the cost of the traditional ballot system will discuss and compare.
Personalized Medicine for Achieving Sustainable Development Goals: A Systematic Literature Review
(NSBM Green University, 2021-11-26) Ediriarachchi, S.; Fernando, C.
As a result of the rapid progression of the research and development in STEM, Personalized Medicine (PM) has been in the works of modern health settings. However, due to the novelty of PM, its sustainability metrics in global context requires further study. PM provides a holistic approach to healthcare, considering not limited to symptoms, but also individual’s genetic composition, anthropology and ecological factors. The purpose of this systematic literature review is to discern and appreciate existing literature focusing on the connections between PM and Sustainable Development Goals (SDGs), announced by the UN agreed in 2015 among all 193 member countries. It has been shown that the SDG3: Good Health and Well-Being contributes the most to the SDG index of a country, and also the most significant contributor towards improving other SDGs. Furthermore, this review explores the timely spaces of effective implementation of health policies through multidisciplinary approaches and the potential caveats during such policy execution. For our literature search using several index repositories and snowballing, ("personalized medicine" OR "precision medicine") AND ("sustainable development goals" OR "SDGs") AND ("sustainability" OR "sustainable development") was considered as the search string, and seven publications from 2016 - 2021 were considered. Through this systematic literature review, we hope to demonstrate how PM could be utilized for achieving SDGs.