Research Papers - Dept of Computer Systems Engineering

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Has files: YesSubject: search.filters.subject.Artificial Intelligence

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    Artificial Intelligence Based Smart Library Management System
    (IEEE, 2021-12-01) Jayawardena, C; Reyal, S; Kekirideniya, K. R; Wijayawardhana, G. H. T; Rupasinghe, D. G. I. U; Lakranda, S. Y. R. M
    The concept of a smart library system is to operate in a library with minimal human intervention. The proposed system handles basic library functions such as issuing books, returning books, reserving books, collecting late return fines, antitheft detection, and managing booking inventory using IoT technologies such as RFID and Raspberry Pi. The first key criterion is shelves management, which provides a unique key and uses RFID technology to identify and arrange the books. The succeeding category is providing users with book recommendations by penalizing hidden layer activations to encourage only a few nodes to activate when a single sample is an input. The dimensionality reduction neural network method was used to select the optimal seating arrangement. The LSTM algorithm will be used to make predictions to provide an efficient service to library users.
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    EasyTalk: A Translator for Sri Lankan Sign Language using Machine Learning and Artificial Intelligence
    (IEEE, 2020-12-10) Manoj Kumar, D; Bavanraj, k; Thavananthan, S; Bastiansz, G. M. A. S; Harshanath, S. M. B; Alosious, J
    Sign language is used by the hearing-impaired and inarticulate community to communicate with each other. But not all Sri Lankans are aware of the sign language or verbal languages and a translation is required. The Sri Lankan Sign Language is tightly bound to the hearing-impaired and inarticulate. The paper presents EasyTalk, a sign language translator which can translate Sri Lankan Sign Language into text and audio formats as well as translate verbal language into Sri Lankan Sign Language which would benefit them to express their ideas. This is handled in four separate components. The first component, Hand Gesture Detector captures hand signs using pre-trained models. Image Classifier component classifies and translates the detected hand signs. The Text and Voice Generator component produces a text or an audio formatted output for identified hand signs. Finally, Text to Sign Converter works on converting an entered English text back into the sign language based animated images. By using these techniques, EasyTalk can detect, translate and produce relevant outputs with superior accuracy. This can result in effective and efficient communication between the community with differently-abled people and the community with normal people.
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    APlus: An Intelligent Lecture Delivery System using Artificial Intelligence Learning Analytics
    (IEEE, 2021-12-09) Kodagoda, C; Madampe, V; Ekanayake, R; De Silva, N; Wijesundara, M; Atapattu, P
    As technology advances, new ways of teaching and learning can be discovered. Online learning platforms are able to provide easy, informative, and effective methods of delivering information since people are getting more accustomed to the use of e-learning. With the help of Artificial Intelligence, these methods can be refined to understand the users on a deeper level and provide services that are helpful and are more tailored to each user. The purpose of this project is to design an e-learning platform equipped for both educators and students. The system will be able to allow users to record/upload lecture sessions and other related study materials to the service which in return, with the use of Artificial Intelligence, try to understand the context of each lesson, segment videos, generate questions and deliver the materials to the Learner. The system will use various inputs from the Learner including video observation time, watched duration, types of videos watched, answers for questions, etc. to build a comprehensive profile of Learners. The system will use the knowledge gathered to provide services such as recommendations to the Learner, track the progress of the Learner as well as provide useful statistics of lecture materials to the Content Providers.
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    Employee Readiness towards Artificial Intelligence in Sri Lankan Banking Context
    (IEEE, 2019-12-17) Mathipriya, B; Minhaj, I; Rodrigo, L. D. C. P; Abiylackshmana, P; Kahandawaarachchi, K. A. D. C. P
    As technology improves an economy's performance, the changes it brings needs to be addressed. This Study focuses on how employees should be ready for the Artificial Intelligence implementations in banks. As Sri Lankan banks are still in the foundational level this study will make them aware of the current situation of what employees thinks of AI and whether they are ready to accept the technology or whether they are insecure about their job due to the change. Study have collected information through secondary sources and primary sources through a questionnaire. People readiness comprises of three variables, which are AI mind set, Employee skills, and their current job role. Based on the different factors analyzed, it can be seen that employees are ready to adopt AI in Sri Lankan banks but there are some restrictions, the employees are comfortable with the changes but they are insecure about their job.
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    Neural Network Based Routing Algorithm for Cognitive Packet Network Architecture
    (http://inpressco.com/category/ijcet, 2014-02-01) Abeygunawardhana, P. K. W
    This journal focuses on introducing an adaptive routing algorithm to be used on Wide Area Network(WAN) like Internet, based on the Cognitive Packet Network (CPN) architecture to enhance the Quality of Service (QoS) delivered to the end users. This research focuses on Building on top of the CPN network architecture and introducing a neural network based routing algorithm which would improve the QoS, provide reliable and efficient service which can fulfill the ever growing Internet usage demand. The neural network’s task would be learning the network and adapt to any situation through the knowledge gathered. The packets will collectively learn about the network thus the load on the routers will be minimized. This mechanism completely replaces traditional method of routing tables which results in efficient and reliable packet delivery in comparison to current routing protocols like Open Shortest Path First (OSPF). This research has introduced a routing algorithm which is Intelligent, dynamically adapting and self-learning for CPN infrastructure instead of current packet switched network.