Computing in Kent

  GenAI in the hands of experts: A qualitative study of academics' experiences and future recommendations Conference paper Malik, M., Nortcliffe, A., Turner, S., Abdel-Maguid, M. and Shah, Rehan 2024.  GenAI in the hands of experts: A qualitative study of academics' experiences and future recommendations . Creating robust multiple-choice questions can be perceived as a challenging task by academic staff. The design process can also be time consuming and rely on the knowledge and experience of staff. Many engineering educators make use of these questions for formative and summative assessments . These questions can be a great way to provide formative feedback to students and diagnose what teaching interventions may be needed for different students based on their performance on the questions. This work-in-progress paper describes some initial results from a study whereby augmenting the skills educators bring with Generative Artificial Intelligence (GenAI) tools such as ChatGPT...

Prior, Oliver J., Hannan Bin Azhar , M. A., Sahota, Vijay and Turner, Scott 2024. Unveiling pollution peaks: Comparing swarm intelligence with Drone Hill Climber . in: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY) IEEE. pp. 399-404 https://doi.org/10.1109/sisy62279.2024.10737602 Climate change has become an accelerating problem in recent years due to pollutants like greenhouse gases , with carbon dioxide being the most prominent. Similarly in time, works on the application and development of swarm intelligence using drones , along with the use of drones to monitor air pollution / source discovery, have been carried out in isolation to date. This paper presents an investigation to discover multiple pollution sources using a variety of existing swarm intelligence algorithms, through simulated drones. This paper also presents a bespoke Drone Hill Climber (DHC) algorithm that introduces the novel of multiple drones each flying on their o...

  Design and Implement A Hybrid WebRTC Signalling Mechanism for Unidirectional & Bi-directional Video Conferencing International Journal of Computer Science & Network Security Volume 24 Issue 9   /   Pages.186-194   /   2024   /   1738-7906(pISSN) doi:  10.22937/IJCSNS.2024.24.9.21 International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회) WebRTC (Web Real-Time Communication) is a technology that enables browser-to-browser communication. Therefore, a signalling mechanism must be negotiated to create a connection between peers. The main aim of this paper is to create and implement a WebRTC hybrid signalling mechanism named (WebNSM) for video conferencing based on the Socket.io (API) mechanism. WebNSM was designed over different topologies such as simplex, star and mesh. Therefore it offers several communications at the same time such as one-to-one (unidirectional/bidirectional), one-to-many (unidirectional) and many-t...

  Unveiling Pollution Peaks: Comparing Swarm Intelligence with Drone Hill Climber September 2024 DOI:  10.1109/SISY62279.2024.10737602 Conference: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY) Produce using ChatGPT Abstract: Climate Change has become an accelerating problem in recent years due to pollutants like greenhouse gases , with carbon dioxide being the most prominent. Similarly in time, works on the application and development of swarm intelligence using drones , along with the use of drones to monitor air pollution / source discovery, have been carried out in isolation to date. This paper presents an investigation to discover multiple pollution sources using a variety of existing swarm intelligence algorithms, through simulated drones. This paper also presents a bespoke Drone Hill Climber (DHC) algorithm that introduces the novel of multiple drones each flying on their own set paths, with the aim of finding multiple p...

  Trustworthy Insights: A Novel Multi-Tier Explainable framework for ambient assisted living Kasirajan, M., Azhar, H. and Turner, S. 2023.  Trustworthy Insights: A Novel Multi-Tier Explainable framework for ambient assisted living .  https://doi.org/10.1109/TrustCom60117.2023.00357 More details available at https://repository.canterbury.ac.uk/item/9683y/trustworthy-insights-a-novel-multi-tier-explainable-framework-for-ambient-assisted-living  Integrating transparency, interpretability, and accountability into the design of Artificial Intelligence (AI) tools for Ambient Assisted Living (AAL) enhances user trust and acceptance. Clear explanations of the AI system's operations and decision-making process are vital, enabling users to comprehend the factors influencing predictions and recommendations. This paper introduces a novel explainable framework tailored for AAL, representing a structured approach to comprehensively understand feature importance in the decision-mak...

 New paper Kolaghassi, Rania, Gianluca Marcelli, and Konstantinos Sirlantzis. 2023. "Effect of Gait Speed on Trajectory Prediction Using Deep Learning Models for Exoskeleton Applications"  Sensors  23, no. 12: 5687. https://doi.org/10.3390/s23125687 Effect of Gait Speed on Trajectory Prediction Using Deep Learning   Effect of Gait Speed on Trajectory Prediction Using Deep Learning Models for Exoskeleton Applications Sensors DOI  https://doi.org/10.3390/s23125687 Abstract Gait speed is an important biomechanical determinant of gait patterns, with joint kinematics being influenced by it. This study aims to explore the effectiveness of fully connected neural networks (FCNNs), with a potential application for exoskeleton control, in predicting gait trajectories at varying speeds (specifically, hip, knee, and ankle angles in the sagittal plane for both limbs). This study is based on a dataset from 22 healthy adults walking at 28 different speeds ranging from 0.5...