Outputs (2633)

Scalability and stacking of self-stratifying microbial fuel cells treating urine (2020)
Journal Article

The scalability of Microbial fuel cells (MFCs) is key to the development of stacks. A recent study has shown that self-stratifying membraneless MFCs (S-MFCs) could be scaled down to 2 cm without performance deterioration. However, the scaling-up limi... Read More about Scalability and stacking of self-stratifying microbial fuel cells treating urine.

Microbial fuel cell stack performance enhancement through carbon veil anode modification with activated carbon powder (2020)
Journal Article

The chemical energy contained in urine can be efficiently extracted into direct electricity by Microbial Fuel Cell stacks to reach usable power levels for practical implementation and a decentralised power source in remote locations. Herein, a novel... Read More about Microbial fuel cell stack performance enhancement through carbon veil anode modification with activated carbon powder.

Ballistic research techniques: visualizing gunshot wounding patterns (2020)
Journal Article

There are difficulties associated with mapping gunshot wound (GSW) patterns within opaque models. Depending on the damage measurement parameters required, there are multiple techniques that can provide methods of “seeing” the GSW pattern within an op... Read More about Ballistic research techniques: visualizing gunshot wounding patterns.

Image segmentation of underfloor scenes using a mask regions convolutional neural network with two-stage transfer learning (2020)
Journal Article

© 2020 Elsevier B.V. Enclosed spaces are common in built structures but pose a challenge to many forms of manual or robotic surveying and maintenance tasks. Part of this challenge is to train robot systems to understand their environment without huma... Read More about Image segmentation of underfloor scenes using a mask regions convolutional neural network with two-stage transfer learning.

A composite feedback approach to stabilize nonholonomic systems with time varying time delays and nonlinear disturbances (2020)
Journal Article

In this work, we propose a robust stabilizer for nonholonomic systems with time varying time delays and nonlinear disturbances. The proposed approach implements a composite nonlinear feedback structure in which a linear controller is designed to yiel... Read More about A composite feedback approach to stabilize nonholonomic systems with time varying time delays and nonlinear disturbances.

Intelligent fault detection scheme for drilling process (2020)
Presentation / Conference Contribution

Automatic fault detection system is an important aspect of an industrial process. The technique of fault detection helps in minimizing equipment downtime thus making it a cost effective process. In this paper, an innovative model-based fault detectio... Read More about Intelligent fault detection scheme for drilling process.

Audio-driven robot upper-body motion synthesis (2020)
Journal Article

Body language is an important aspect of human communication, which an effective human-robot interaction interface should mimic well. Human beings exchange information and convey their thoughts and feelings through gaze, facial expressions, body langu... Read More about Audio-driven robot upper-body motion synthesis.

Mixed reality enhanced user interactive path planning for omnidirectional mobile robot (2020)
Journal Article

This paper proposes a novel control system for the path planning of an omnidirectional mobile robot based on mixed reality. Most research on mobile robots is carried out in a completely real environment or a completely virtual environment. However, a... Read More about Mixed reality enhanced user interactive path planning for omnidirectional mobile robot.

Eye centre localisation with convolutional neural network based regression (2020)
Presentation / Conference Contribution

This paper introduces convolutional neural network regression models based on the Inception-v3 and the DenseNet architectures for accurate and real-time eye centre localisation. At a normalised error of e < 0.05, the proposed method yields an accurac... Read More about Eye centre localisation with convolutional neural network based regression.

Design for localisation: A case study in the development and implementation of a low head propeller turbine in Nepal (2020)
Journal Article

This paper proposes a methodology for “design for localisation” that addresses the challenge of designing a product for local manufacture and use, whilst considering the production process availability and the context of the local geographic area. Th... Read More about Design for localisation: A case study in the development and implementation of a low head propeller turbine in Nepal.