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TSC Inspection Systems develop and manufacture Non Destructive Testing and Stress Measurement instrumentation. TSC is the home of StressProbe and ACFM technology.
A German railway dispatcher blamed for a train crash that killed 11 people was distracted by playing a mobile phone game at the time, prosecutors charged Tuesday, as a court ordered his arrest.
Big data has been over-hyped.
We're an award-winning, joint council / community initiative that puts open data and smart thinking at the heart of our city.
Tradition can be a great thing. Most of us enjoy our traditional Christmas lunch and are amused by such quirky British traditions as Morris dancing, Gloucestershire cheese rolling and piping in the…
Huge volumes of data are collected and analyzed over time so that you can make long-term changes to improve performance and efficiency
London's smart train system allows railway engineers to have a better insight into the train lifecycle and condition of the tracks.
As Network Rail’s third ‘Could IT be you?’ competition draws to a close, the company’s CIO explains why the project was launched.
CIRAS Confidential Reporting System. Have you got a health and safety concern? report a concern · Image of the front cover of the latest issue of The Reporter
This is the forth in the series of the Digital Railway Suppliers’ Conference with the last held in July of this year. We have made a firm commitment to engage with our suppliers collectively, to enable you to understand our challenges, and for us to understand your views. This is your chance to find out more about the Vision of Digital Railway Programme and how our plans are progressing since the previous conference, held in July. hear about how, with input from industry stakeholders, we're d
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Sign in Register FREE ONLINE COURSE Big Data: Statistical Inference and
Search our course pages for undergraduate, postgraduate and research courses at the University of Huddersfield
With populations growing by the billion, smart technology is needed to cope with the strain on the cities of the future
Researchers outside Google are testing the software that the company uses to add artificial intelligence to many of its products.
Plans to open the National College for High Speed Rail in Doncaster have taken another step forward with funding confirmed.
A fundraising campaign is under way to publish the original design manual of one of the UK's most recognisable logos.
EUROPE: The Shift2Rail Joint Undertaking issued its first open call on December 17, inviting proposals for a range of research projects expected to...
Special Issue: Learning from Incidents Call for papers: Special issue of Safety Science on Learning from Incidents Guest Editors Professor Neville Stanton University of Southampton n.stanton@soton.ac.uk Dr Anoush Margaryan Glasgow Caledonian University anoush.margaryan@gcu.ac.uk Professor Allison Littlejohn Open University Allison.littlejohn@open.ac.uk Learning from Incidents The ability to learn from incidents it essential for safety in all organisations, industries, regulatory bodies and policy makers. Safety Science has a long history of innovations in theory, methodology, science and application. For example, accident causation models that first emerged in the early 1900s have since evolved to consider entire systems and emergent properties (e.g. Heinrich, 1931; Leveson, 2004; Perrow, 1984; Rasmussen, 1997; Reason, 1990). Similarly, methodologies have moved from focussing on tasks (Taylor, 1911) to entire systems and the constraints shaping behaviour (e.g. Vicente, 1999). However Learning from Incidents is yet to embrace theories and methods from the learning sciences. A new repertoire of theories, methods and instruments evolved from interdisciplinary perspectives is needed to Learn from Incidents effectively. The aim of this special issue is to provide researchers and practitioners with an opportunity to present and discuss contemporary, forecasted, and required paradigm shifts to Learn from Incidents. We welcome submissions from all disciplines, including, but not restricted to: Adult and Organisational Learning, Computer Science, Engineering, Sociology, Industrial Psychology, Human Factors Engineering. Manuscripts from any domain are welcomed on: Reviews of state of the art of LfI Whole of systems approaches to LfI New methodologies for researching LfI New instruments for measuring LfI Inter-disciplinary insights into LfI Case studies involving new concepts to LfI Commentaries on LfI and the future for the Safety Science discipline Reports on intervention studies into improving LfI Approaches to facilitating and enhancing interactions between researchers, practitioners and policymakers in LfI Timeline 1st September 2015, Call for papers issued 1st February 2016, Submission deadline for receipt of papers 1st May 2016, Authors receive reviewers’ comments 1st August 2016, Revised manuscripts submitted 1st November 2016, Authors receive reviewers’ comments on revised manuscripts 1st December 2016, Authors receive decision on manuscripts 1st February 2017, Editorial and order of manuscripts passed onto journal administrator Mid 2017, Special issue published Instructions for authors The deadline for receipt of papers is 1st February 2016, with a projected publication date of mid 2017. All papers will be subjected to the standard peer-review procedures of the journal. Potential authors are requested to submit their paper for consideration to Professor Neville Stanton (n.stanton@soton.ac.uk), Dr Anoush Margaryan (anoush.margaryan@gcu.ac.uk), Professor Allison Littlejohn (Allison.littlejohn@open.ac.uk) prior to electronic submission so that the Guest Editors can ensure its scope and quality is suitable for the special issue. Following approval, papers should be submitted online via the Elsevier Safety Science manuscript submission site (http://www.journals.elsevier.com/safety-science/). When specifying ‘Article Type’ authors should select ‘SI: Learning from Incidents”. Failure to do so will cause the papers to go unrecognised as belonging to the special issue. Guidelines for authors can also be found on the Safety Science website: http://www.journals.elsevier.com/safety-science/
Organisations in all sectors will have to radically change their operational and business models if they are to survive the digital revolution, delegate...
remote Diagnostics to Generate about $2.80 Billion in Revenue by 2020
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This technique can reliably find small cracks, less than 2 mm without any surface preparation or paint removal, a major advantage
This would help control the oil by rail risk levels in the US