All Outputs (359)

Comparison between image analysis techniques for boat shape measurements (2017)
Conference Proceeding

The aim of this paper is to define performances and metrological characteristics of simple and economical photomodelling techniques for boat shape measurements, an innovative technique developed recently. Compared with the technique based on a Creafo... Read More about Comparison between image analysis techniques for boat shape measurements.

How do board and chief executive characteristics influence executive compensation in non-profit organizations? The case of UK charities (2017)
Conference Proceeding

This paper examines the influence of trustee board composition and chief executive officer (CEO) characteristics on the CEO compensation levels in the UK charitable sector. We find that a higher extent of board diversity and the existence of a remune... Read More about How do board and chief executive characteristics influence executive compensation in non-profit organizations? The case of UK charities.

Unruh-DeWitt Fermion Detector on a (1+1)-Dimensional Cylindrical Spacetime: Arbitrary Worldlines and Inequivalent Spin Structures (2017)
Conference Proceeding

We examine an Unruh-DeWitt particle detector which couples linearly to the scalar density of a massless Dirac field on the static cylindrical quotient of the (1+1)-dimensional Minkowski spacetime, allowing the detector’s motion to remain arbitrary and... Read More about Unruh-DeWitt Fermion Detector on a (1+1)-Dimensional Cylindrical Spacetime: Arbitrary Worldlines and Inequivalent Spin Structures.

Internet of Things in Health Trends Through Bibliometrics and Text Mining (2017)
Conference Proceeding

Recently a new buzzword has slowly but surely emerged, namely the Internet of Things (IoT). The importance of IoT is identified worldwide both by organisations and governments and the scientific community with an incremental number of publications du... Read More about Internet of Things in Health Trends Through Bibliometrics and Text Mining.

Per-phase controller for medium voltage full-bridge modular multilevel converters (2017)
Conference Proceeding

This work proposes a per-phase control architecture for a fullbridge modular multilevel converter (FB-MMC) intended for medium voltage applications, such as MVDC multi-terminal distribution networks in off-shore wind farms or MVDC networks in industr... Read More about Per-phase controller for medium voltage full-bridge modular multilevel converters.

Fast fault location scheme for distribution systems based on fault transients (2017)
Conference Proceeding

This paper presents a combined double-end and single-end fault locator for distribution systems. The technique lies under the impedance based category and uses the fault generated high frequency components to locate the faults. The combination of dou... Read More about Fast fault location scheme for distribution systems based on fault transients.

Combining residual networks with LSTMs for lipreading (2017)
Conference Proceeding

We propose an end-to-end deep learning architecture for word-level visual speech recognition. The system is a combination of spatiotemporal convolutional, residual and bidirectional Long Short-Term Memory networks. We train and evaluate it on the Lip... Read More about Combining residual networks with LSTMs for lipreading.

Radial force control of Multi-Sector Permanent Magnet machines considering radial rotor displacement (2017)
Conference Proceeding

A mathematical model enabling to predict the electromagnetic x-y forces and torque for a given input current in a Multi-Sector Permanent Magnet Synchronous (MSPMS) machine is presented. The rotor static eccentricity is also accounted and the analytic... Read More about Radial force control of Multi-Sector Permanent Magnet machines considering radial rotor displacement.

Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations (2017)
Conference Proceeding

This paper gives an overview of research work in progress within the COSLE (Collaborative Optimisation in a Shared Logistics Environment) project between the University of Nottingham and Microlise Ltd. This is an R&D project that seeks to develop opt... Read More about Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations.

Selecting genetic operators to maximise preference satisfaction in a workforce scheduling and routing problem (2017)
Conference Proceeding

The Workforce Scheduling and Routing Problem (WSRP) is a combinatorial optimisation problem that involves scheduling and routing of workforce. Tackling this type of problem often requires handling a considerable number of requirements, including cust... Read More about Selecting genetic operators to maximise preference satisfaction in a workforce scheduling and routing problem.

Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression (2017)
Conference Proceeding

3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the availability of multiple facial images (sometimes from the same subject) as input, and must address a number of methodologic... Read More about Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression.

Retailer supply networks: an anlysis and research perspective (2017)
Conference Proceeding

With their vast logistics, a large array of products, and large number of suppliers, retailer groups face challenges in optimization of their supply networks. Growing competition, more demanding consumes, increasing price pressures, fluctuating energ... Read More about Retailer supply networks: an anlysis and research perspective.

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources (2017)
Conference Proceeding

Our goal is to design architectures that retain the groundbreaking performance of CNNs for landmark localization and at the same time are lightweight, compact and suitable for applications with limited computational resources. To this end, we make th... Read More about Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources.

Indirect model predictive control strategy with active damping implementation for a direct matrix converter operating at fixed switching frequency (2017)
Conference Proceeding

One of the main drawbacks of the implementation of predictive control in a direct matrix converter is the high com¬putational cost and the adequate selection of weighting factors in order to control both input and output sides. In this paper is propo... Read More about Indirect model predictive control strategy with active damping implementation for a direct matrix converter operating at fixed switching frequency.

Hearing the humanities: sonifying Steele’s Shakespeare (2017)
Conference Proceeding

We present initial work that explores the use of sonification to represent Joshua Steele’s symbolic notation. This provides a manner of overhearing a previous performance and testing the method’s reproducibility and uncertainties within it.

An agent on my shoulder: AI, privacy and the application of human-like computing technologies to music creation (2017)
Conference Proceeding

Human-Like Computing technologies are intelligent systems that interact with people in human-like way. By bringing together the disciplines of Artificial Intelligence, Ethnography and Interaction Design, and applying them in a real world context we... Read More about An agent on my shoulder: AI, privacy and the application of human-like computing technologies to music creation.

The art and ‘science’ of opera: composing, staging & designing new forms of interactive theatrical performance (2017)
Conference Proceeding

New technologies, such as Virtual Reality (VR), Robotics and Artificial Intelligence (AI) are steadily having an impact upon the world of opera. The evolving use of performance-based software such as Ableton Live and Max/MSP has created new and excit... Read More about The art and ‘science’ of opera: composing, staging & designing new forms of interactive theatrical performance.

Social music machine: crowdsourcing for composition & creativity (2017)
Conference Proceeding

This poster describes a compositional technique that used crowd-sourced midi clips in order to develop a piece of music, which was later performed. This work in progress highlighted some of the issues facing the designers of systems that enable the ‘... Read More about Social music machine: crowdsourcing for composition & creativity.

Position control study of a bearingless multi-sector permanent magnet machine (2017)
Conference Proceeding

Bearingless motors combine in the same structure the characteristics of conventional motors and magnetic bearings. Traditional bearingless machines rely on two independent sets of winding for suspension force and torque production, respectively. The... Read More about Position control study of a bearingless multi-sector permanent magnet machine.

The design of a position-based repetitive control for speed ripple reduction in PMLSMs (2017)
Conference Proceeding

Periodic speed errors can occur in permanent magnet linear synchronous machines for two reasons: 1) a periodic reference signal; 2) cogging force and friction. For reducing such periodic errors, iterative learning control or repetitive control approa... Read More about The design of a position-based repetitive control for speed ripple reduction in PMLSMs.