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Adaptivo: A Personalized Adaptive E-Learning System based on Learning Styles and Prior Knowledge 7

Adaptivo: A Personalized Adaptive E-Learning System based on...

引用

7th International Conference on Informatics and Computing, ICIC 2022

作者： Rishard, M.A.M. Jayasekara, S.L. Ekanayake, E.M.P.U. Wickramathilake, K.M.J.S. Reyal, Shyam Manathunga, Kalpani Wickramarathne, Jagath Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350345711

The rapid advancement of technology and the internet has resulted in an increase in the number of learners seeking e-learning. Though E-Learning is widely used most e-learning systems provide the same set of learning resources and learning paths to each student, regardless of their personal preferences. In recent years there has been increasing attention towards the characteristics of learners such as the learning styles and the knowledge level of the learner. This research paper proposes a personalized adaptive E-learning system called 'Adaptivo' that provides a personalized learning experience to the learners based on their learning style and knowledge level. To make the learning process more efficient and engaging, Adaptivo takes into account the specific differences between learners in terms of time, online interactions and learning duration. It then builds a personalized learning path depending on each learner's learning style and knowledge level. The main aim of this study is to investigate the impact of the proposed adaptive learning approach on learners. The results show that the students appreciate the approach, are highly satisfied, and performed better when content is personalized according to their learning style and prior knowledge. © 2022 IEEE.

关键词： E-learning

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IPL Data Analysis by Web Scraping and Using PowerBI

IPL Data Analysis by Web Scraping and Using PowerBI

引用

IT Innovation and Knowledge Discovery (ITIKD), International Conference on

作者： Mogith P Mothiswar T B G Mohammad Abubak J. Jagannathan N. Balaganesh Software Engineering Vellore Institute of Technology Vellore India School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore India

ISBN: (数字)9798350355468

ISBN: (纸本)9798350355475

Cricket fans throughout the world avidly follow the Indian Premier League (IPL), a competition of great fame. The IPL data is examined in this using Exploratory Data Analysis (EDA) approaches to find hidden trends, patterns, and insights. Key findings are summarized in EDA, a critical stage of data processing that is frequently complemented with visual aids. Through EDA, the goal is to investigate several factors, including team performance, player data, match results, and venue effects. Data transformation, cleaning, and visualization will all be part of producing insightful findings. Win percentages, player averages, and run distributions are examples of key performance indicators (KPIs) that will be looked at. The analysis's findings will give teams, athletes, and supporters important new information.

关键词： Visualization Technological innovation Fans Data analysis Key performance indicator Data visualization Market research Knowledge discovery Cleaning

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Face Skin Disease Detection and Community based Doctor Recommendation System 4

Face Skin Disease Detection and Community based Doctor Recom...

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4th International Conference on Advancements in Computing, ICAC 2022

作者： Udara, M.A.A. Wimalki Dilshani, D.G. Mahalekam, M.S.W. Wickramaarachchi, V.Y. Krishara, Jenny Wijendra, Dinuka Department of Computer Science & Software Engineering Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Information Technology Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350398090

In our country, skin diseases are more common than other diseases because of the climate. Skin diseases are occurring almost on all groups of ages among people. It is one of the most common types of diseases where some can be painful, and some can cause fatal to human life. The delay of the disease detection, difficulties of identify the infected area, Ignorance of the spread of the disease and treatments may threat to the patient's life. Most of the time this process is performed manually which can lead to human errors and takes days for providing the results. This paper reports a smart solution that assists the patients by detecting the disease, identify the current infected area of the disease, recommend best doctors, provide community-based prevention guidelines, and predict the future risk. Also due to this economic crisis, we suggest that it's much easier if the patient can do these skin check-ups systematically to continuously monitor and detect skin disease to get proper medical attention. As treatment procedures can be different from each doctor and impact will be different, we are working on community-based platform where we can get patients' reviews about doctors and preventive guidelines. Depending on the performance evaluations, the results obtained from the proposed method for disease identifications are in the range of 90% - 95% of accuracy. © 2022 IEEE.

关键词： Patient treatment

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Automated Spelling Checker And Grammatical Error Detection And Correction Model for Sinhala Language

Automated Spelling Checker And Grammatical Error Detection A...

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2022 International Research Conference on Smart Computing and Systems engineering, SCSE 2022

作者： Goonawardena, Mithma Kulatunga, Ashini Wickramasinghe, Raveena Weerasekara, Thisuraka De Silva, Hansi Thelijjagoda, Samantha Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Sri Lanka Sri Lanka Institute of Information Technology Sliit Business School Sri Lanka

ISBN: (数字)9781665473750

ISBN: (纸本)9781665473750

Sinhala is a native language spoken by the Sinhalese people, the largest ethnic group in Sri Lanka. It is a morphologically rich language, which is a derivation of Pali and Sanskrit. The Sinhala language creates a diglossia situation, as the language's written form differs from its spoken form. With this difference, the written form requires more complex rules to be followed when in use. Manually proofreading the content of Sinhala material takes up much time and labor, and it can be a tedious task. Hence, a system is necessary which can be used by different industries such as journalism and even students. At present, there are a handful of systems and research that have automated Sinhala spelling analysis and grammar analysis. In addition, the existing systems are mainly focused on either spelling analysis or grammar analysis. However, the proposed system will cover both aspects and improve upon existing work by either optimizing or re-building the process to provide accurate outputs. The proposed system consists of a suffix list built for verbs and subjects, which helps the system stand out from the current proposed solutions. This research intends to implement a service for spell checking and grammar correctness of formal context in Sinhala. The research follows a rule-based approach with some components adopting a hybrid approach. As per the literature survey, many papers were analyzed, related to different aspects of the proposed system and complete systems. The proposed system would be able to overcome most barriers faced by previous papers whilst it takes a fresh take on providing a solution. © 2022 IEEE.

关键词： Automation

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A Mobile Based Garbage Collection System 3

A Mobile Based Garbage Collection System

引用

3rd International Informatics and software engineering Conference, IISEC 2022

作者： Wijendra, D. De Silva, D.I. Gunawardhena, N.M. Wijayarathna, S.M. Aluthwaththage, J.H. Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka

ISBN: (数字)9781665459952

ISBN: (纸本)9781665459952

Garbage disposal and collection is an ongoing global crisis amplified by the increasing world population, lack of funds and public awareness, and recently because of the Covid-19 pandemic. information Technology can be utilized as a solution for the existing garbage collection methods that are old-fashioned, time-consuming, and energy-consuming due to the lack of a unified and consistent system that incorporates all the parties involved in garbage production and collection. A mobile-based garbage collection system is proposed to overcome the issues aforementioned through route and schedule optimization, AI chatbot, and optimized GPS tracking. The route and schedule optimization is achieved through vehicle routing problem with time windows(VRPTW) with synchronization and precedence that was optimized using LNS;the total travel cost went from 172 minutes to 144 minutes. The AI chatbot feature facilitates reporting garbage collection issues and complaints and enquiring about waste management tips (reduce, recycle, and reuse tips) to be used at home. The most prominent role of developing this AI chatbot is replacing the manual process of reporting garbage collection issues in Sri Lanka with an efficient and interactive way. The chatbot has waste management tips Q and A. In Optimized GPS Tracking, the user can use the map to find the nearest garbage disposal place based on the type of rubbish they generate. The truck driver can find the optimal path to the closest current garbage disposal centres and public trash bins and view the location of Homeowners on the map. The optimized path between two points is displayed based on distance, time, and fuel consumption. The main goal of the component is to show the location of garbage disposal bins and the optimal paths for truck drivers using Linear regression and the Node2vec algorithm. © 2022 IEEE.

关键词： Machine learning

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Intent Classification of Nepali Factoid Questions

Intent Classification of Nepali Factoid Questions

引用

2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023

作者： Timilsina, Sushil Khadka, Ashim Lin, Jianchu Faculty of Science and Technology Gandaki College of Engineering and Science Pokhara Nepal Faculty of Science and Technology Nepal College of Information Technology Lalitpur Nepal Faculty of Computer and Software Engineer Huaiyin Institute of Technology Jiangsu China

ISBN: (纸本)9798350306293

Question Classification plays a vital role in identifying the accurate answer to any question, and is considered as a core component of Question Answering Systems. In Nepali Natural Language Processing, the area of Question Answering has not even been initiated due to a lack of dataset. The dataset of Nepali factual questions has been created by collecting questions from general knowledge books and labelling them with developed taxonomy. The problem of Nepali factoid question classification has been studied with a Support Vector Machine, which works as a baseline classification algorithm and obtained a 0.74 weighted F1-score in the imbalance dataset. The experimental results of the proposed model show the effectiveness of the approach in classifying factoid questions accurately compared with the state-of-the-art approaches. © 2023 IEEE.

关键词： Natural language processing systems

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Smart Device and Tracer to Overcome COVID-19 Using Digital Technology for Better Protection 4

Smart Device and Tracer to Overcome COVID-19 Using Digital T...

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4th International Conference on Advancements in Computing, ICAC 2022

作者： Avinash, Kulana Dithmal, Chethika Wijerathne, Pathum Kaushan, Nipuna De Silva, Hansi Kasthurirathna, Dharshana Department of Information Technology Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Computer Science and Software Engineering Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350398090

A number of nations have experienced challenging circumstances as a result of the coronavirus disease (COVID-19), which has turned into a global pandemic. As a result of the social changes it has caused, this crisis will also have an impact on future generations. With the help of this technology, health organizations can quickly locate individuals who are infected with COVID-19 and provide them with medical care. The objective of this work is to develop a COVID-19 Tracer that is capable of COVID-19 detection and mitigation. The goal of this research is to reduce the number of COVID-19related fatalities in Sri Lanka while also enabling users who are infected with the disease to access appropriate care and hospitalization. This software uses digital technologies to acquire accurate data and provide precise interpretations based on that data. Through the proposed method, patients can be treated using the application to get a precise diagnosis of their disease, maintaining social distance, stabilizing the mental level of the patient through AI, predicting the epidemic, providing COVID-19 vaccinations, as well as ambulance services through this application. Using every preventative measure available, this mobile application has now been developed to safeguard against COVID-19. © 2022 IEEE.

关键词： COVID-19

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Elegant Fit-On - Virtual Fitting Room on Handheld Devices 4

Elegant Fit-On - Virtual Fitting Room on Handheld Devices

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4th International Conference on Advancements in Computing, ICAC 2022

作者： Galagoda, R.R.N.P.A.B.W.M.S.R. Gunarathne, E.H.N.L. Maheshi Purnima, K.A.D. Wickramarathna, H.P.C.S. Reyal, Shyam Siriwardana, Samanthi Department of Computer Science & Software Engineering Sri Lanka Institute of Information Technology Colombo Sri Lanka Department of Information Technology Sri Lanka Institute of Information Technology Colombo Sri Lanka

ISBN: (纸本)9798350398090

Clothing has been one of the basic human needs since ancient times. It is a common thing to try on clothes and consider certain features when buying clothes. With the current pandemic situation, it is risky to wear and buy clothes by physical shopping. Consequently, people do online shopping. Those existing shopping websites are not user-friendly and less reliable as the customers will not have the privilege to purchase the exactly fitting outfit. Therefore, the customer satisfaction level is low with the clothes they have bought through online platforms. Therefore, the aim is to utilize technology to provide a virtual fitting room experience on handheld devices. The objective is to create a customized 3D avatar that represents the customer's unique body shapes and features, which allows to try on clothes. This avatar is 360 degrees rotatable with pre-defined poses to check what the fit-on looks like. This solution shows whether the clothes are too fit or loose for the customer by showing live wrinkles. The text and voice feedback are generated at the end, which would be helpful for differently-abled people, especially those with vision issues. © 2022 IEEE.

关键词： Three dimensional computer graphics

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COVID-Tracker: Surveillance of Potential Clusters Using a Wristband and Location-based Data 7

COVID-Tracker: Surveillance of Potential Clusters Using a Wr...

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7th IEEE International conference for Convergence in Technology, I2CT 2022

作者： Mandara, A.P. Manjari Randula, H.K. Kisal Priyadarshana, H.L.Y. Uyanahewa, J.J. Manathunga, Kalpani Reyal, Shyam Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka

ISBN: (纸本)9781665421683

COVID-19 is a global pandemic that has threatened the survival of humans and other living beings. COVID-19 causes illnesses varying from the very mild cold to serious health complications resulting in death. Most information Technology based solutions have been implemented to prevent the COVID-19 pandemic while raising awareness in the public. However, there is a limited number of reliable and real-time applications of self-awareness on COVID-19. Currently, the globe is dealing with the COVID-19 epidemic, particularly in pursuit of economic growth in each country. Therefore, an accurate, efficient automatic method to raise self-awareness by avoiding risky contacts is useful for human survival. This paper describes the automatic detection of temperature using a wearable device and an automatic alerting mechanism to inform the users of potentially risky contacts with higher temperatures nearby within a considerable time frame. COVID-Tracker produces results with high accuracy and efficiency, this is beneficial to improve self-awareness among users, to visualize potential covid clusters, and also to improve the mental health of self-isolated people. The developed application consists of four main components namely: temperature measuring band, mobile application, prediction model-based visualization dashboard and an AI bot. Based on the results reported here, developed methods can help people to achieve self-awareness of COVID-19 by avoiding risk factors early and accurately. © 2022 IEEE.

关键词： COVID-19

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Realty Scout - Smart System for Real Estate Analysis & Forecasting with Interactive User Interface 7

Realty Scout - Smart System for Real Estate Analysis & Forec...

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7th IEEE International conference for Convergence in Technology, I2CT 2022

作者： Hapuarachchi, H.A.V.P.U. Manoratne, M.D. Gamlath, K.G.B.K. Vithane, S.G.G. Sriyaratna, Disni Supunya, N. H. P. Ravi Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka

ISBN: (纸本)9781665421683

The real estate industry is one of the highest income generating sources in the country. As the country moves toward a highly diversified economy, the role of real estate has become a more important part of the country's economy. However, the state of the local real estate industry is yet to improve and is currently lagging the technology curve. As a result of this issue, useful information is not made available to the end-users. Therefore, the real estate industry needs to improve its adoption of ongoing technologies to move from traditional to smart real estate industry. Therefore, we developed a Smart Real estate system called "Realty Scout"which can analyze and forecast real estate information accurately. The "Realty Scout"is implemented with a highly interactive view of the properties with a given virtual tour for the users to enhance the user experience. This smart real estate system also collects data on property values, in addition to a trained data set, to forecast future property values. Certain machine learning algorithms are used in the backend to generate future values. An accurate and fast prediction of the real estate value is important to buyers, sellers, and other stakeholders. Furthermore, by gathering users' personal information and tracking their search history through the system, the system recommends properties to users based on collected data. As potential users of the system, they can gain an advantage from this feature by finding their desired property without spending more time. In addition, this system aimed to give advanced property filtrations options to the user. Building up a smart system for the real estate industry would be an advantage for all stakeholders who are actively engaged with the real estate industry. © 2022 IEEE.

关键词： Forecasting

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