Effectiveness of static detour signage on motorways

Several incidents involving the installation of temporary traffic signs by road workers have raised concerns about the effectiveness of these signs. Even in the absence of incidents, effectiveness is a relevant question, made more urgent by the incidents and the high risk of collision faced by road workers installing the signs. This paper...

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...

A Continuously Updated Package-Degradation Model reflecting Thermomechanical Changes at Different Thermo-Oxidative Stages of Moulding Compound

Moulding compounds used for encapsulating electronics typically occupy a large portion of package volume and are most exposed to the external environment. Under harsh conditions such as high temperature, humidity, and mechanical vibrations, constituent materials of electronic components degrade, resulting in a change in their thermal, mechanical...

A risk-based driver behaviour model

Current driver behaviour models (DBMs) are primarily designed for the general driver population under specific scenarios, such as car following or lane changing. Hence DBMs capturing individual behaviour under various scenarios are lacking. This paper presents a novel method to quantify individual perceived driving risk in the longitudinal...

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...

The boundedly rational employee: Security economics for behaviour intervention support in organizations

Security policy-makers (influencers) in an organization set security policies that embody intended behaviours for employees (as decision-makers) to follow. Decision-makers then face choices, where this is not simply a binary decision of whether to comply or not, but also how to approach compliance and secure working alongside other workplace...

Behavioral and socio-economic factors controlling irrigation adoption in Maharashtra, India

Psychological frameworks are rarely used to understand irrigation adoption behaviour in developing countries. A Bayesian belief network (BBN) model was developed that integrated socio-economic characteristics and psychological factors to understand farmer behaviours with respect to irrigation practices in four districts of Maharashtra, India....

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...

Understanding the effect of socio-economic characteristics and psychosocial factors on household water treatment practices in rural Nepal using Bayesian Belief Networks

About 20 Million (73%) people in Nepal still do not have access to safely managed drinking water service and 22 million (79%)do not treat their drinking water before consumption. Few studies have addressed the combination of socio-economic characteristics and psychosocial factors that explain such behaviour in a probabilistic manner. In this...

Energy analytics for supporting built environment decarbonisation

The identification of techno-economically feasible decarbonisation paths and sustainability transitions for the built environment is a necessary task for research today and building stock renovation processes can act in synergy with innovative economic and technological development paradigms to achieve different types of benefits such as...

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...

Modelling and Simulating Use Processes in Buildings

In this paper, we propose a new approach to simulating users’ behavior in yet un-built buildings. For this purpose, we have developed a model that connects two different representations: a formal representation of the building use, by means of a method borrowed from Business Process Modeling and Notation (BPMN) approach; and a game-engine based...

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...

Decision-making models and classifications of human during critical events