Engineering Commons^™

A Hardware-Deployable Neuromorphic Solution For Encoding And Classification Of Electronic Nose Data, Anup Vanarse, Alexander Rassau, Peter Van Der Made

Research outputs 2014 to 2021

In several application domains, electronic nose systems employing conventional data processing approaches incur substantial power and computational costs and limitations, such as significant latency and poor accuracy for classification. Recent developments in spike-based bio-inspired approaches have delivered solutions for the highly accurate classification of multivariate sensor data with minimized computational and power requirements. Although these methods have addressed issues related to efficient data processing and classification accuracy, other areas, such as reducing the processing latency to support real-time application and deploying spike-based solutions on supported hardware, have yet to be studied in detail. Through this investigation, we proposed a spiking …

Real-Time Classification Of Multivariate Olfaction Data Using Spiking Neural Networks, Arnup Vanarse, Adam Osseiran, Alexander Rassau, Therese O'Sullivan, Jonny Lo, Amanda Devine

Research outputs 2014 to 2021

Recent studies in bioinspired artificial olfaction, especially those detailing the application of spike-based neuromorphic methods, have led to promising developments towards overcoming the limitations of traditional approaches, such as complexity in handling multivariate data, computational and power requirements, poor accuracy, and substantial delay for processing and classification of odors. Rank-order-based olfactory systems provide an interesting approach for detection of target gases by encoding multi-variate data generated by artificial olfactory systems into temporal signatures. However, the utilization of traditional pattern-matching methods and unpredictable shuffling of spikes in the rank-order impedes the performance of the system. In this paper, we present an …

Social Impacts Of Climate Change And Occupational Heat Stress And Adaptation Strategies Of Mining Workers In Ghana, Victor Fannam Nunfam

Theses: Doctorates and Masters

Excessive heat exposure due to rising temperatures associated with climate change adversely affects workers’ health, safety, productivity, and psychosocial well-being in occupational settings. In the hot and tropical regions of developing countries, long hours of physically demanding work, coupled with inadequate adaptation policies to climate change, increases the occurrence of heat-related illnesses and injuries, and contributes to the loss of productive capacity, poor decision making, and other negative effects on the social well-being of workers.

Based on the theories of social impact assessment, risk assessment, adaptation and resilience planning, this study assesses the social impacts of climate change and occupational …