Browsing Electronic & Electrical Eng by Subject "Smart & Sustainable Planet"
Now showing items 1-20 of 25
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Active Damping of Power Oscillations Following Frequency Changes in Low Inertia Power Systems
(2019)The absolute requirement to increase the amount of energy generation from renewable sources e.g. predominantly asynchronously connected wind turbines and photovoltaic installations, may in practice during transient events ... -
Addressing the Mapping Problem in Sonic Information Design through Embodied Image Schemata, Conceptual Metaphors, and Conceptual Blending
(2018)This article explores the mapping problem in parameter mapping sonification: the problem of how to map data to sound in a way that conveys meaning to the listener. We contend that this problem can be addressed by considering ... -
Ambient Data Monitoring w/Generative Music Systems using EC & ML Techniques.
(2018)This is a position paper which describes work in progress to develop an AI/ML driven auditory ambient information system which incorporates generative music techniques and considers some of the factors involved the design ... -
A case for FPGA-based accelerators for energy-efficient motion picture video processing
(SPIE, 2023)In recent years, computing-based video processing workflows have become an integral part of the motion picture industry. These workloads are highly data- and compute-intensive, requiring capable hardware to achieve ... -
A Combinatorial Optimisation Approach to the Design of Dual Parented Long-Reach Passive Optical Networks
(2011)We present an application focused on the design of resilient long-reach passive optical networks. We specifically consider dual-parented networks whereby each customer must be connected to two metro sites via local exchange ... -
Containing future epidemics with trustworthy federated systems for ubiquitous warning and response
(2021)In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the pervasiveness of wireless connectivity while ... -
Creating Signal to Noise Loops v4
(2022)Signal to Noise Loops v4 is a data-driven audiovisual piece. It is informed by principles from the fields of IoT, Sonification, Generative Music, and Cybernetics. The piece maps data from noise sensors placed around Dublin ... -
Custom precision accelerators for energy-efficient image-to-image transformations in motion picture workflows
(SPIE, 2023)Image to Image (I2I) transformations have been an integral part of video processing workflows with applications in Image Synthesis for Virtual Productions, Segmentation, and Matting, among others. Over the years, ... -
Deep Learning-based embedded Intrusion Detection Systems for CAN bus in Automotive Networks
(IEEE, 2022)Rising complexity of in-vehicle electronics is enabling new capabilities like autonomous driving and active safety. However, rising automation also increases risk of security threats which is compounded by lack of in-built ... -
THE DESIGN OF A SMART CITY SONIFICATION SYSTEM USING A CONCEPTUAL BLENDING AND MUSICAL FRAMEWORK, WEB AUDIO AND DEEP LEARNING TECHNIQUES
(2021)This paper describes an auditory display system for smart city data for Dublin City, Ireland. It introduces and describes the different layers of the system and outlines how they operate individually and interact with ... -
Dynamic Block-Edge Masks (BEMs) for Dynamic Spectrum Emission Masks (SEMs)
(2010)This paper explores the evolving role of transmitter spectrum masks in the emerging paradigm of service and technology neutral spectrum planning. We advocate the use of more dynamic approaches to spectrum mask generation ... -
Exclusive Sharing & Virtualization of the Cellular Network
(IEEE, 2011)The focus of this paper is to progress a discussion about the redefinition of what it means to be a cellular network operator. Alternative modes of ownership may allow for the creation of more flexible cellular networking ... -
Experiences from the Iris Testbed in Dynamic Spectrum Access and Cognitive Radio Experimentation
(2010)The focus of this paper is an experimentation platform known as Iris that has a runtime reconfigurable software radio at its core. We have employed this platform to enable a wide variety of tests and experimentation in the ... -
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN
(2023)Vehicles today comprise intelligent systems like connected autonomous driving and advanced driving assistance systems (ADAS) to enhance the driving experience, which is enabled through increased connectivity to ... -
Exploring Lightweight Federated Learning for Distributed Load Forecasting
(2023)Federated Learning (FL) is a distributed learning scheme that enables deep learning to be applied to sensitive data streams and applications in a privacy-preserving manner. This paper focuses on the use of FL for analyzing ... -
FPGA-based Deep-Learning Accelerators for Energy Efficient Motor Imagery EEG classification
(2022)In recent years, Deep Learning has emerged as a powerful framework for analysing and decoding bio-signals like Electroencephalography (EEG) with applications in brain computer interfaces (BCI) and motor control. Deep ... -
HRIR Factorisation: A Regularised Approach
(2010)HRIR factorisation allows the extraction of a common direction in- dependent component from a set of HRIRs leaving a set of rela- tively short direction dependent filters and provides both memory and computational savings ... -
IMEC: A Memory-Efficient Convolution Algorithm For Quantised Neural Network Accelerators
(IEEE, 2022)Quantised convolution neural networks (QCNNs) on FPGAs have shown tremendous potential for deploying deep learning on resource constrained devices closer to the data source or in embedded applications. An essential building ... -
A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN
(IEEE, 2022)Recent years have seen an exponential rise in complex software-driven functionality in vehicles, leading to a rising number of electronic control units (ECUs), network capabilities, and interfaces. These expanded ... -
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
(2022)Rising connectivity in vehicles is enabling new capabilities like connected autonomous driving and advanced driver assistance systems (ADAS) for improving the safety and reliability of next-generation vehicles. This ...