Blar i Department of Electrical and Computer Engineering (TN-IDE) på forfatter "Chakravorty, Antorweep"
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ARDENT - An Augmented Reality Framework for Education
Jørgensen, Ove Kristian; Sørensen, Marius (Master thesis, 2022)Virtual Reality (VR) in education and medicine has been a widely researched area. Increase in motivation and learning gain is demonstrated to be directly related to introduction of VR applications. However, the necessity ... -
ARDENT - An Augmented Reality Framework for Education
Jørgensen, Ove Kristian; Sørensen, Marius (Master thesis, 2022)Virtual Reality (VR) in education and medicine has been a widely researched area. Increase in motivation and learning gain is demonstrated to be directly related to introduction of VR applications. However, the necessity ... -
The ARTICONF Approach to Decentralized Car-Sharing
Saurabh, Nishant; Rubia, Carlos; Palanisamy, Anandakumar; Koulouzis, Spiros; Sefidanoski, Mirsat; Chakravorty, Antorweep; Zhao, Zhiming; Karadimce, Aleksandar; Prodan, Radu (Peer reviewed; Journal article, 2021)Social media applications are essential for next-generation connectivity. Today, social media are centralized platforms with a single proprietary organization controlling the network and posing critical trust and governance ... -
ARTICONF decentralized social media platform for democratic crowd journalism
Rito Lima, Inês; Filipe, Vasco; Marinho, Claudia; Ulisses, Alexandre; Chakravorty, Antorweep; Hristov, Atanas; Saurabh, Nishant; Zhao, Zhiming; Xin, Ruyue; Prodan, Radu (Peer reviewed; Journal article, 2023)Media production and consumption behaviors are changing in response to new technologies and demands, giving birth to a new generation of social applications. Among them, crowd journalism represents a novel way of constructing ... -
Blockchain based energy transactions for a prosumer community
Karandikar, Nikita (PhD thesis UiS;, Doctoral thesis, 2021-09)Integration of solar micro-generation capabilities in domestic contexts is on the rise, leading to the creation of prosumer communities who generate part of the energy they consume. Prosumer communities require a decentralized, ... -
Blockchain based hospital data management using HyperLedger Fabric
Glenna, Magnus; Woie, Fredrik (Bachelor thesis, 2021)Technological progress has pushed blockchain technology to cover a multitude of use cases and environments with different types of technology and frameworks. HyperLedger Fabric is a framework for creating a permissioned ... -
Blockchain based hospital data management using Hyperledger Fabric.
Woie, Fredrik; Glenna, Magnus (Bachelor thesis, 2021)Technological progress has pushed blockchain technology to cover a multitude of use cases and environments with different types of technology and frameworks. HyperLedger Fabric is a framework for creating a permissioned ... -
Blockchain Based Transaction System with Fungible and Non-Fungible Tokens for a Community-Based Energy Infrastructure
Karandikar, Nikita Rajendra; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2021-05)Renewable energy microgeneration is rising leading to creation of prosumer communities making it possible to extract value from surplus energy and usage flexibility. Such a peer-to-peer energy trading community requires a ... -
Blockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering
Karandikar, Nikita Rajendra; Abhishek, Rockey; Saurabh, Nishant; Zhao, Zhiming; Alexander, Lercher; Prodan, Radu; Chunming, Rong; Chakravorty, Antorweep (Peer reviewed; Journal article, 2021)Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand. Flattening the usage curve can result in cost savings, both for the power ... -
Deep Learning over 20 Years of Cinema Ticket Sales
Pettersen, Markus (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)For many years, movie theaters across Norway have been manually setting up its weekly movie schedule according to the prior knowledge of the operators. This is a slow and laborious method that in this day and age is outdated ... -
Deep learning-based automated detection and clustering of potholes using variational autoencoder for efficient road maintenance
Grønner, Daniel; Eik, Elisabeth (Master thesis, 2023)In this study we explore the possibility of using unsupervised learning for pothole detection. We will use images of roads from Brazil where both potholes and cracks can be present in the images, as well as clean images ... -
An Ensemble Approach for Multi-Step Ahead Energy Forecasting of Household Communities
Mehdipourpirbazari, Aida; Sharma, Ekanki; Chakravorty, Antorweep; Elmenreich, Wilfreid; Chunming, Rong (Peer reviewed; Journal article, 2021)This paper addresses the estimation of household communities' overall energy usage and solar energy production, considering different prediction horizons. Forecasting the electricity demand and energy generation of communities ... -
Evolving Deep Neural Networks for Continuous Learning: Addressing Challenges and Adapting to Changing Data Conditions without Catastrophic Forgetting
Atamanczuk, Bruna; Karadas, Kurt Arve Skipenes (Master thesis, 2023)Continuous learning plays a crucial role in advancing the field of machine learning by addressing the challenges posed by evolving data and complex learning tasks. This thesis presents a novel approach to address the ... -
Household Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures
Ai, Songpu; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2019-02)The progress of technology on energy and IoT fields has led to an increasingly complicated electric environment in low-voltage local microgrid, along with the extensions of electric vehicle, micro-generation, and local ... -
Implementing an Adaptive Genetic Algorithm in the Atari Environment
Nesse, Andreas (Master thesis, 2021)This thesis attempts to implement a genetic algorithm for training agents within the Atari game environments. The training is performed on hardware of a widely available character, and so the results give an indication of ... -
Integrating big data and blockchain to manage energy smart grid - TOTEM framework
Therese Jose, Dhanya; Holme, Jørgen; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2022)The demand for electricity is increasing exponentially day by day, especially with the arrival of electric vehicles. In the smart community neighborhood project, electricity should be produced at the household or community ... -
Intelligent supply and demand for marine protein factory (based on MindSphere platform)
Heidari, Paria (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-23)The purpose of this project is to collect Internet Of Things data from available sources in the value chain. Our viewpoint to observe IoT data streams from all different processes in the factory as well as get an ... -
NFT Marketplace
Haaland, Aleksander Vae; Thompson, Marcus Meihack (Bachelor thesis, 2022)Med de raskt voksende globale blokkjedemarkedene, er utvikling av desentraliserte applikasjoner som ligger på blokkjeder som Ethereum, Fantom og Avalanche av økende interesse. Derfor er hovedmålet med denne oppgaven å ... -
NFT Marketplace
Haaland, Aleksander Vae; Thompson, Marcus Meihack (Bachelor thesis, 2022)Med de raskt voksende globale blokkjedemarkedene, er utvikling av desentraliserte applikasjoner som ligger på blokkjeder som Ethereum, Fantom og Avalanche av økende interesse. Derfor er hovedmålet med denne oppgaven å ... -
Predictive Analytics for Maintaining Power System Stability in Smart Energy Communities
Pirbazari, Aida Mehdipour (PhD thesis UiS;, Doctoral thesis, 2021-05)Digitalization and decentralization of energy supply have introduced several challenges to emerging power grids known as smart grids. One of the significant challenges, on the demand side, is preserving the stability of the ...