Recurrent Neural Network-based Digital Predistortion for wideband Radio Frequency Power Amplifier

With the advancement of 5G/6G radio networks, the demand for high-performance power amplifiers (PAs) with clean spectra and compact constellations has increased significantly. To address these challenges, Artificial Intelligence (AI)-based digital predistortion (DPD) has emerged as a promising approach to linearize radio-frequency (RF) PAs....

Evaluating the Accuracy of User Values Elicited through a Textual Interface: Conducting a user study with a textual interface using questions in isolation to capture user values

This research paper focuses on the accuracy and limitations of user values elicited through a textual interface with questions asked in isolation. The primary objective was to conduct a user study using a textual interface that uses questions in isolation to assess the effectiveness and accuracy of this interface type and questioning style. The...

Factors Affecting Co-creation of Modern Horticultural Technologies and Practices in Southwest Nigeria: An Empirical Analysis

Over the years, the horticultural industry has seen growing awareness and implementation of more recent and modern technology and practices to achieve better results and increase efficiency, especially in farming. For developing countries like Nigeria, the horticultural sector needs to act quickly to meet growing food demands and overcome the...

Effect of Behavioural Strategies on Individual Quality of Life in Agent-Based Social Simulations of COVID-19

Since the onset of the COVID-19 pandemic, many models have been made to predict the spread and responses to it. Although moral decision-making during the uncertainty pandemics is suggested to be more motivated by individual incentive than collective incentive, decision-making in COVID-19 agent-based models is often modelled implicitly by...

The role of behavioural willingness on mitigating saltwater intrusion in the Vietnamese Mekong Delta: Combining socioeconomic data with groundwater simulations using Bayesian Belief Networks

Fresh water resources in coastal areas are under intense pressure from groundwater consuming activities, sea level rise and extreme weather events, which effectively amplify salt water intrusion (SWI) into coastal freshwater aquifers. Literature on SWI describe the effects of SWI, model SWI scenarios and explain possible SWI mitigation...

Scaling Distributed Virtual Environments using Socially Aware Load Partitioning and Interest Management

Massively Multiplayer Online Games are played by millions of people from around the world who play together in large virtual environments. With sometimes even a million gamers playing the same game, the load on the virtual environments they play in needs to be distributed between servers to deal with this many players. Several techniques have...

Behavioural Classification of Passengers in an Airport Terminal

Given the observable characteristics of a passenger in an airport, is it possible to predict their behaviour? This thesis researches the possibilities for finding behavioural classes that can help predict passenger behaviour in a passenger demand forecast (PDF) system that is developed for the European PASSME project. The thesis introduces a...

A Strategy to Automate the Monitoring Process of Small Scale CDM Biogas Projects

This project was carried out in cooperation with TNO for ICCO and Fair Climate Fund (FCF). ICCO and FCF approached TNO to help them develop a low cost automated monitoring system to simplify and standardise the labour intensive monitoring process followed by one of their partner NGO in India. Currently the cost for periodic monitoring of small...