A5002156926- Manufacturing Process and Optimization
- Product Development and Customization
- Wind Energy Research and Development
- Machine Fault Diagnosis Techniques
- Markov Chains and Monte Carlo Methods
- Design Education and Practice
- Stochastic processes and statistical mechanics
- Wind Turbine Control Systems
- Cloud Computing and Resource Management
- Fault Detection and Control Systems
- Energy Load and Power Forecasting
- Smart Grid Energy Management
- Collaboration in agile enterprises
- Software System Performance and Reliability
- Bayesian Methods and Mixture Models
- Business Process Modeling and Analysis
- Real-time simulation and control systems
- Advanced Database Systems and Queries
- Software Engineering Research
- Oil and Gas Production Techniques
- Power System Reliability and Maintenance
- Service-Oriented Architecture and Web Services
- Cloud Data Security Solutions
- Microgrid Control and Optimization
- Cardiac Arrest and Resuscitation
Durham University
2014-2024
University of Bristol
2020
Catalonian Research and Innovation Centre
2017
Cornell University
2017
Morriston Hospital
1999-2012
BOC (Austria)
2012
Swansea Bay University Health Board
2012
University of Central Florida
2010
University of Cambridge
1998-2002
St Helier Hospital
1999
Abstract Data generated by genome-wide association studies (GWAS) are growing fast with the linkage of biobank samples to health records, and expanding capture high-dimensional molecular phenotypes. However utility these efforts can only be fully realised if their complete results collected from heterogeneous sources formats, harmonised made programmatically accessible. Here we present OpenGWAS database, an open source, access, scalable high-performance cloud-based data infrastructure that...
Cloud computing is emerging as a major trend in the ICT industry. While most of attention research community focused on considering perspective providers, offering mechanisms to support scaling resources and interoperability federation between Clouds, developers operators willing choose without being strictly bound specific solution mostly neglected. We argue that Model-Driven Development can be helpful this context it would allow design software systems cloud-agnostic way supported by model...
Cloud computing is emerging as a major trend in the ICT industry. While most of attention research community focused on considering perspective providers, offering mechanisms to support scaling resources and interoperability federation between Clouds, developers operators willing choose without being strictly bound specific solution mostly neglected. We argue that Model-Driven Development can be helpful this context it would allow design software systems cloud-agnostic way supported by model...
By simulating an ergodic Markov chain whose stationary distribution is uniform over the space of n × Latin squares, we can obtain squares that are (approximately) uniformly distributed; offer two such chains. The central issue construction "moves" connect squares. Our first approach uses fact square equivalent to contingency table in which each line sum equals 1. We relax nonnegativity condition on table's cells, allowing "improper" tables have a single—1-cell. A simple set moves connects...
Bounds are given on the mean time taken by a strong Markov process to visit all of finite collection subsets its state space. These bounds specialized Brownian motion surface unit sphere $\Sigma_p$ in $R^p$. This leads this come within distance $\varepsilon$ every point and or opposite. The second case is related Grand Tour, technique multivariate data analysis that involves search low-dimensional projections. In both cases asymptotically tight as $\varepsilon \rightarrow 0$ for $p \geq 4$.
Current wind turbine (WT) studies focus on improving their reliability and reducing the cost of energy, particularly when WTs are operated offshore. A supervisory control data acquisition (SCADA) system is a standard installation larger WTs, monitoring all major WT sub‐assemblies providing important information. Ideally, WT's health condition or state components can be deduced through rigorous analysis SCADA data. Several programmes have been made for that purposes; however, resulting...
The development of electrical control system faults can lead to increased mechanical component degradation, severe reduction asset performance, and a direct increase in annual maintenance costs. This paper presents highly accurate data driven classification for the diagnosis faults, particular, wind turbine pitch faults. Early these enable operators move from traditional corrective or time based policy towards predictive strategy, whilst simultaneously mitigating risks requiring no further...
Upper and lower bounds are given on the moment generating function of time taken by a Markov chain to visit at least $n$ $N$ selected subsets its state space. An example considered is class random walks symmetric group that constant conjugacy classes. Application yields, for example, asymptotic distribution see all $N!$ arrangements cards as $N\rightarrow\infty$ certain shuffling schemes.
Compliance with the new European General Data Protection Regulation (Regulation (EU) 2016/679, GDPR) and security assurance are currently two major challenges of Cloud-based systems. GDPR compliance implies both privacy mechanisms definition, enforcement control, including evidence collection. This study presents a novel DevOps framework aimed at supporting Cloud consumers in designing, deploying operating (multi)Cloud systems that include necessary controls for ensuring transparency to...
This paper presents, with a live field experiment, the potential of increasing wind farm power generation by optimally yawing upstream turbine for reducing wake effects as part SmartEOLE project. Two 2MW turbines from Le Sole de Moulin Vieux (SMV) are used this purpose. The (SMV6) is operated yaw offset ( α ) in range − 12 ° to 8° analysing impact on downstream (SMV5). Simulations performed intelligent control strategies estimating optimum settings. show that optimal can increase net...
This paper demonstrates, with live field experiment, the potential of increasing wind farm production through minimising wake effects by curtailing upstream turbines. Two 2 MW turbines from SMV (Le Sole de Moulin Vieux) are used for this purpose. The is equipped state art LiDARs (Light Detection And Ranging) measuring characteristics, up to a frequency 1 Hz. Simulations performed using WindPRO prediction. Optimised curtailment strategies simulated finding optimum settings turbine. Results...
Abstract The reliability of wind turbine power converters is crucial for analyzing energy project costs, and estimating maintenance downtime. published literature in this field relies on evaluating the effect speed to estimate converter lifetime. However, paper demonstrates that turbulence intensity, which has not been widely considered similar analyses, shows a significant impact This uses 821 10‐min time series sampled at 1 Hz two most commonly deployed topologies: two‐level voltage source...
Abstract Approximately one‐third of all maintained secondary schools in England, and a smaller tranche nursery, primary special schools, were inspected under the arrangements set out Section 9 1992 Education (Schools) Act by end 1994. This article reviews some aspects quality assurance national inspection system England. It looks particular at improvement through inspection. Continuous reflects feedback from key stakeholders, as well work OFSTED to incorporate new developments. Improvement...
A bivariate Weibull model is proposed for censored survival data when there may be dependence between the and censoring random variables. The based on marginal transformations of Pickands class exponential distributions. Assuming to hold, joint distribution times shown identifiable, maximum likelihood estimator parameters consistent.
In this paper, we propose a new form of image-based CAPTCHA term "scene tagging". It tests the ability to recognize relationship between multiple objects in an image that is automatically generated via composition background with irregularly shaped object images, resulting large space possible images and questions without requiring database. This process accompanied by carefully designed sequence systematic distortions makes it difficult for automated attacks locate/identify present....
The growth in the number of cloud computing users has led to availability a variety based services provided by different vendors. This made task selecting suitable set quite difficult. There been lot research towards development decision support system (DSS) assist making an optimal selection services. However, existing systems cannot address two crucial issues: firstly, involvement both business and technical perspectives simultaneously and, secondly, multiple-clouds using single DSS. In...
Data is growing. We are all aware of this in the IT industry, it a common mantra. The elephant room ownership that data and use data. As with many new technologies, its legal personal implications not well understood until technology has matured. by default resided organisations hold data; utility companies, websites, retailers aggregators brokers. If could be owned people identifies, handlers would have to pay for sales marketing purposes. suggesting payment mostly illusory free services...
Excessive carbon emissions have posed a threat to sustainable development. An appropriate market-based low policy becomes the essence of regulating strategy for reducing in energy sector. This study proposes Stackelberg game-theoretic model determine an optimal design market. To encourage fuel switching low-carbon generating sources, effects varying price on generator's profit are evaluated. Meanwhile, reduce caused by consumption, tracing and billing incentive methods consumers proposed....