Environmentally aware households

Environmentally aware voice activity detector

Traditional voice activity detectors (VADs) tend to be deaf to the acoustical background noise, as they (i) utilize a single operating point for all SNRs (signal-to-noise ratios) and noise types, and (ii) attempt to learn the background noise model online from finite data length. In this paper, we address the aforementioned issues by designing an environmentally aware (EA) VAD. The EA VAD schem...

HONOURS PROJECT REPORT Environmentally Aware Game Bots

This report details the design, implementation, and testing of a system which provides efficient graphics rendering as well as rich data visualisations. The scene being rendered is a simulation of competing bots within a virtual environment and requires users to be able to easily identify features occurring within the simulation. Techniques to increase realism and rendering performance are disc...

Environmentally Optimal, Nutritionally Aware Beef Replacement Plant-Based Diets.

Livestock farming incurs large and varied environmental burdens, dominated by beef. Replacing beef with resource efficient alternatives is thus potentially beneficial, but may conflict with nutritional considerations. Here we show that protein-equivalent plant based alternatives to the beef portion of the mean American diet are readily devisible, and offer mostly improved nutritional profile co...

Overviewing a Field of Self-Organising Music Interfaces: Autonomous, Distributed, Environmentally Aware, Feedback Systems

Augmented Betweenness Centrality for Environmentally Aware Traffic Monitoring in Transportation Networks

Network planning and traffic flow optimization requires the acquirement and analysis of large quantities of data such as the network topology, its traffic flow data, vehicle fleet composition, emission measurements etc. Data acquirement is an expensive process that involves household surveys and automatic as well as semi-automatic measurements performed all over the network. For example, in ord...