All Outputs (170)

Development of a Cubesat Platform for Biomedical and Pharmaceutical LEO Experiments (2020)
Conference Proceeding

Undertaking biology experiments in space is a necessary and important part of understanding evolution, adaption, and ageing, and crucial to the enablement of safe human exploration away from Earth. Access to space, however, is difficult, costly and r... Read More about Development of a Cubesat Platform for Biomedical and Pharmaceutical LEO Experiments.

Hardware Implementations with High Throughput, Low-Latency and Low-Area for Matrix Inversion (2020)
Conference Proceeding

This paper proposes two hardware architectures for matrix inversion, through the use of single and double-precision floating-point representations. The architectures use a modified version of the Gauss-Jordan algorithm that accelerates the processing... Read More about Hardware Implementations with High Throughput, Low-Latency and Low-Area for Matrix Inversion.

An Investigation Of The Luminous Environment In Nottingham H.O.U.S.E (2020)
Conference Proceeding

Daylight makes an important contribution to indoor quality and building occupants’ wellbeing and productivity. Although it is well known that different spaces need different lighting quality for tasks to be performed effectively, the issue of change... Read More about An Investigation Of The Luminous Environment In Nottingham H.O.U.S.E.

The need for a paradigm shift in subaerial landslide-tsunami research (2020)
Conference Proceeding

Subaerial landslide-tsunamis (SLTs) are caused by mass movements such as landslides, rock falls or glacier calving. Research into SLTs is ongoing for many decades, however, the advancement in the physical understanding and reliability of hazard asses... Read More about The need for a paradigm shift in subaerial landslide-tsunami research.

Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA (2020)
Conference Proceeding

This paper presents a Neural Network (NN)-based weighting factor (WF) selection method for the multi-objective cost function in Model Predictive Control (MPC). MPC is adopted for scheduling the loads and charging/discharging the battery intelligently... Read More about Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA.

Investigating Electrical Drive Performance Employing Model Predictive Control and Active Disturbance Rejection Control Algorithms (2020)
Conference Proceeding

© 2020 The Institute of Electrical Engineers of Japan. Many issues can degrade the electrical drive performance such as cross-coupling, time delay, external disturbances, and parameter variation. The Synchronous Reference Frame (SRF) PI Current Contr... Read More about Investigating Electrical Drive Performance Employing Model Predictive Control and Active Disturbance Rejection Control Algorithms.

Development and Testing of Soft Magnetic Rotor for a Switched Reluctance Motor Built Through Additive Manufacturing Technology (2020)
Conference Proceeding

Additive manufacturing, commonly known as 3D printing, is an emerging technology that is gaining considerable research interest in recent years. In particular, metal printing methodologies might be successfully employed in developing lightweight and... Read More about Development and Testing of Soft Magnetic Rotor for a Switched Reluctance Motor Built Through Additive Manufacturing Technology.

Aspects of urbanism in later Bronze Age northern Italy (2020)
Conference Proceeding

This paper askes the question whether towns may be said to be visible in the archaeological record of northern Italy before the Iron Age. It argues that we should not use the forms of urbanism of the Greek, Etruscan and Roman cities as criteria for i... Read More about Aspects of urbanism in later Bronze Age northern Italy.

Design Methodology and Parametric Design Study of the On-Board Electrical Power System for Hybrid Electric Aircraft Propulsion (2020)
Conference Proceeding

This paper presents parametric design studies of the on-board Electrical Power System (EPS) for a distributed hybrid aircraft propulsion. The work presents the methodology that has been adopted to develop the physics-based models of the EPS component... Read More about Design Methodology and Parametric Design Study of the On-Board Electrical Power System for Hybrid Electric Aircraft Propulsion.

Model Class Reliance for Random Forests (2020)
Conference Proceeding

Variable Importance (VI) has traditionally been cast as the process of estimating each variable's contribution to a predictive model's overall performance. Analysis of a single model instance, however, guarantees no insight into a variables relevance... Read More about Model Class Reliance for Random Forests.

Comparison of equivalent plate models using wavenumber approach (2020)
Conference Proceeding

Mutli-layered structures (such as sandwich panels) are commonly used in engineering applications for the improved sound comfort and noise reduction. Finite Element modelling of these layered structures would often results in increased total number of... Read More about Comparison of equivalent plate models using wavenumber approach.

Software Fault Localisation via Probabilistic Modelling (2020)
Conference Proceeding

Software development is a complex activity requiring intelligent action. This paper explores the use of an AI technique for one step in software development, viz. detecting the location of a fault in a program. A measure of program progress is propos... Read More about Software Fault Localisation via Probabilistic Modelling.

High micro-vessel density correlates with higher peri-tumoural immune response in colorectal cancer (2020)
Conference Proceeding

Background & objectives Microvessels, a significant component of the tumour microenvironment in colorectal cancer (CRC), have traditionally been assessed in full-face sections. This study aimed to assess the microvessel density (MVD) in CRC tissue m... Read More about High micro-vessel density correlates with higher peri-tumoural immune response in colorectal cancer.

High tissue inhibitor of matrix-metalloproteinase 2 expression correlates with poor prognosis in breast cancer (2020)
Conference Proceeding

Background & objectives TIMP2, tissue inhibitor of matrix-metalloproteinase 2, inhibits the matrix-metalloproteinase, MMP2, but may activate pro-MMP2. Hence its correlation with prognosis in breast cancer (BC) is contradictory. This study investigat... Read More about High tissue inhibitor of matrix-metalloproteinase 2 expression correlates with poor prognosis in breast cancer.

A Universal Stiffening Sleeve Designed for All Types of Continuum Robot Systems (2020)
Conference Proceeding

© 2020, Springer Nature Switzerland AG. Continuum robots have been utilized for several light-duty applications, such as minimally invasive surgery in the medical field and inspection in the industry. However, the existing design solutions do not off... Read More about A Universal Stiffening Sleeve Designed for All Types of Continuum Robot Systems.

On the Capability of Heat Dissipation in Thermally Aged Electrical Machines (2020)
Conference Proceeding

Thermal aging is one of the main causes of progressive deterioration of the insulation system in electrical machines. This because the thermo-physical properties of dielectric materials can undergo severe changes when exposed to high temperature. Acc... Read More about On the Capability of Heat Dissipation in Thermally Aged Electrical Machines.

3D Printing as a Technology Enabler for Electrical Machines: Manufacturing and Testing of a Salient Pole Rotor for SRM (2020)
Conference Proceeding

Among the various technology enablers for modern electrical machines, additive manufacturing plays a key role. The advantage of having a precise control of the shape of ferromagnetic structures, whilst achieving good electromagnetic performance, fits... Read More about 3D Printing as a Technology Enabler for Electrical Machines: Manufacturing and Testing of a Salient Pole Rotor for SRM.

Further Exploration of Necrotic Control of Evolved Art (2020)
Conference Proceeding

This study is the second in investigating the use of necrosis based filtration as a method of steering evolutionary algorithms to create evolved art. We use a technique inspired by the danger theory of immune system activation - a method employed in... Read More about Further Exploration of Necrotic Control of Evolved Art.

Novel Parameter Identification Method for Lithium-Ion Batteries Based on Curve Fitting (2020)
Conference Proceeding

This paper describes a new curve-fitting lithium-ion battery parameter identification method for equivalent circuit models. The current pulse/relaxation test is carried out and the corresponding terminal voltage is used for extracting the battery mod... Read More about Novel Parameter Identification Method for Lithium-Ion Batteries Based on Curve Fitting.

Reliability oriented thermal management of aircraft power converters (2020)
Conference Proceeding

On board electrical power generation continue to increase as more aircraft systems are being electrified. Increasingly power converters are the interface of power generation and electrical loads in aircrafts. Reliability of aircraft power electronics... Read More about Reliability oriented thermal management of aircraft power converters.