Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"behaviour detection"”.
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Anomalous behaviour detection using heterogeneous data
Anomaly detection is one of the most important methods to process and find abnormal data, as this method can distinguish between normal and abnormal behaviour. Anomaly detection has been applied in many areas such as the medical sector, fraud detection in finance, fault detection in machines, …
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Context Aware Drivers' Behaviour Detection System for VANET
… Designing an accurate and efficient driver behaviour detection system that can detect the abnormal behaviours exhibited by drivers (i.e. drunkenness and fatigue) and alert them may have an impact on the prevention of road accidents. Moreover, using Context-aware systems in vehicles can …
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Anomalous behaviour detection for cyber defence in modern industrial control systems
… can be innovatively utilised to model anomalous behaviour as part of defence-in-depth strategies. As such, this research aims to investigate and develop a security mechanism to improve cyber defence in ICS. Firstly, this thesis contributes a Systematic Literature Review (SLR), which helps analyse …
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A METHOD TO DEVELOP A COMPUTER-VISION BASED SYSTEM FOR THE AUTOMATIC DAIRY COW IDENTIFICATION AND BEHAVIOUR DETECTION IN FREE STALL BARNS
… for the automatic dairy cow identification and behaviour detection in free stall barns is proposed. Two different methodologies based on digital image processing were proposed in order to achieve dairy cow identification and behaviour detection, respectively. Suitable algorithms among that used …
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Real-time Evaluation of an Automated Computer Vision System to Monitor Pain Behaviour in Older Adults
… to dementia. While frequent monitoring of pain behaviours in dementia is constrained by resource limitations, computer vision technology has the potential to mitigate these challenges, especially in long-term care environments where many people with severe dementia reside. A computerized …
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Investigating Tafheet as a Unique Driving Style Behaviour
… A plethora of work has been undertaken on the detection of different styles of behaviour such as fatigue and drunken behaviour of the drivers; however, owing to complexity of human behaviour, a lot has yet to be explored in this field to assess different styles of the abnormal behaviour to make …
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Behaviour recognition and monitoring of the elderly using wearable wireless sensors. Dynamic behaviour modelling and nonlinear classification methods and implementation.
… being developed to fulfil the role of a passive behaviour monitoring and alert detection device, providing an unobtrusive level of care and assessing an individual's changing behaviour and health status whilst still allowing for independence of its elderly user. In this research, a Hidden Markov …
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A Practical Deep Learning Approach to Detect Aggressive Driving Behaviour
… not look at the psychological aspects of driving behaviour in this study. The first step is to classify the vehicle; Self-driving vehicles and regular automobiles, both of which may be used to evaluate driving, are the two types of vehicles that can be checked. Aggressive driving behaviours have …
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Research on Object Tracking Technology for Orderless and Blurred Movement under Complex Scenes
Visual tracking is widely found in anomaly behaviour detection, self-driving, virtual reality. Recent researches reported that classic methods, including the Tracking-Learning-Detection method, the Particle Filter and the mean shift, were surpassed by deep learning in accuracy and correlation …
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Behavioural principles underlying navigational decision-making in Drosophila melanogaster larvae
… the mechanisms of decision-making given its rich behavioural repertoire, small nervous system, genetic tractability, and available neuronal wiring diagrams. Taking inspiration from the application of two-alternative forced choice (TAFC) tasks to study perceptual decision-making in other model …
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High-Throughput Operant Conditioning in Drosophila Larvae
… by which animals learn to associate their own behaviour with positive or negative outcomes, biasing future action selection in order to maximise reward and avoid punishment. It is an important strategy to ensure survival in an ever-changing environment. Although operant conditioning has been …