Browsing by Subject "Smart Cities"
Now showing items 1-12 of 12
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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 ... -
Analyzing Distributed Deep Neural Network Deployment on Edge and Cloud Nodes in IoT Systems
(IEEE, 2020)For the efficient execution of Deep Neural Networks (DNN) in the Internet of Things, computation tasks can be distributed and deployed on edge nodes. In contrast to deploying all computation to the cloud, the ... -
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 ... -
Distribution of Nature-based Solutions in cities across Europe
(2024)Nature-based Solutions (NBS) is a conceptual framework that seeks to use properties of nature to co-produce ecosystem services to build climate change resilience and improve quality of life by mitigating the relation- ship ... -
Examining the policy needs for implementing nature-based solutions in cities: Findings from city-wide transdisciplinary experiences in Glasgow, UK, Genk, Belgium and Poznań, Poland
(2020)To advance the science and practice of implementing nature-based solutions in cities, it is important to examine the obstacles and provide means to overcome them. This paper presents a conceptual framework of policy needs ... -
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 ... -
Extracting new urban patterns in cities: Analysis, models and applications
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2018)Smart city initiatives rely on real-time measurements and data collected by a large num- ber of heterogenous physical sensors deployed throughout a city. The data gathered by physical sensors can capably identify important ... -
Signal to Noise Loops i++: Noise Water Air
(2018)Signal to Noise Loops i++ is a live performance for the PerformIOT system. This system involves the application of techniques and concepts from the field of data-driven music to achieve a balanced co-ordination between ... -
uDiscovery: An Urban-Centric Model for Service Discovery in Smart Cities
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)Cities offer services to their citizens to improve their overall quality of life (e.g., education, or health care services) and these services are frequently supported by digital information (e.g., library opening hours ... -
Waste of Time - Examining the Politics and Temporal Practices of Smart Cities Through Urban Sanitation Systems
In the contemporary city, everything from traffic signals to street lighting to bus shelters are becoming part of the Internet of Things (IoT). With the capacity for sensing and monitoring and the all-important generation ... -
What role for citizens? Evolving engagement in quadruple helix smart district initiatives
(2023)Globally, smart city initiatives are becoming increasingly ubiquitous elements of complex, sociotechnical urban systems. While there is general agreement that cities cannot be smart without citizen involvement, the ...