Metasurface Effect on the Performance of Planar Antennas for Wireless Communications

Abstract This paper demonstrates the performance enhancement of a conventional planar antenna by incorporating metasurface (MTS) layer using a proposed unit-cell array. The impact of MTS unit-cell density on bit-error-rate (BER) and channel capacity (CC) in a point-to-point microwave link is investigated. The MTS layer is constructed from an array of identical unit-cells, including circular,...

Large-Scale Continuous Software Engineering: Exploring Three Dimensions of Transformation

This empirical study examines the transformation of a large-scale multinational software engineering organization into a product-oriented enterprise following Continuous Software Engineering (CSE) principles. Focusing on MarketCorp — a digital marketplace organization with distributed software development teams across multiple countries — the study explores the complex dimensions of transformation required for large-scale organizational change. Drawing on...

Do No Harm: Designing Interventions for Deepfake-Fueled Conspiracy Theories

I Was Never in the AI.R.A: an Experimental Study on the Use of Manipulated Audio for the Censorship of Political Dissidents

During the conflict in Northern Ireland known as “the Troubles”, audio recordings of 10 controversial political groups were banned by the British government from being broadcast. Interestingly, video recordings of these people were instead overdubbed by paid actors, implying that the political figures’ original voices were somehow more convincing, legitimate or sexy than the actors....

Attitudes Towards LLM Use Among Software Engineering Researchers: Results From A Two-Phase Survey Study

This two-phase survey study investigates Software Engineering (SE) researchers’ attitudes toward incorporating AI tools, particularly large language models (LLMs), in their workflows. Conducted at a large, independent European research institute, the study provides insights into the emerging norms and attitudes regarding AI integration within empirical SE practices, crucial insights for ensuring responsible AI use and...

Can deepfakes manipulate us? Assessing the evidence via a critical scoping review

Deepfakes are one of the most recent developments in misinformation technology and are capable of superimposing one person’s face onto another in video format. The potential of this technology to defame and cause harm is clear. However, despite the grave concerns expressed about deepfakes, these concerns are rarely accompanied with empirical evidence. We present a...

User stories as boundary objects in agile requirements engineering: A theoretical literature review

User stories have become the predominant method for managing requirements in software development, used by approximately half of all software developers. Despite this widespread adoption, there is limited theoretical understanding of how user stories are used in practice. Through a theoretical literature review of 14 industry studies, we develop five theoretical propositions: 1) user stories...

Balancing privacy and trust: Social acceptance of video-based traffic sensors in smart city initiatives

The deployment of smart city technologies offers local governments a chance to enhance citizens’ quality of life by tackling issues such as traffic congestion. Traffic management systems often utilise video-based traffic sensors (VBTSs) to analyse traffic patterns via camera images, which might capture sensitive data like location and driving behaviours. This capability can evoke perceptions...

PEARL: Performance and energy aware routing for LLMs

Large Language Models (LLMs) have become indispensable across numerous applications. However, these LLMs differ significantly in their capabilities and the computational or energy costs they incur. Given the varying demands of individual queries—such as differences in domain or complexity—relying on a single LLM for an application is often suboptimal. Whether the model is the largest...

Privacy-Preserving Federated Learning for Human Intention Modeling in Pediatric Cerebral Palsy Using Extended Reality