2,308 research outputs found

    Resilient Machine Learning:Advancement, Barriers, and Opportunities in the Nuclear Industry

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    The widespread adoption and success of Machine Learning (ML) technologies depend on thorough testing of the resilience and robustness to adversarial attacks. The testing should focus on both the model and the data. It is necessary to build robust and resilient systems to withstand disruptions and remain functional despite the action of adversaries, specifically in the security-sensitive Nuclear Industry (NI), where consequences can be fatal in terms of both human lives and assets. We analyse ML-based research works that have investigated adversaries and defence strategies in the NI . We then present the progress in the adoption of ML techniques, identify use cases where adversaries can threaten the ML-enabled systems, and finally identify the progress on building Resilient Machine Learning (rML) systems entirely focusing on the NI domain

    Retaining critical competences in nuclear energy sector: national initiatives and best practices, instruments and tools

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    The main objective of this study is to give an overview of new initiatives and best practices developed during the last few years on the national level. As the development of nuclear E&T is primarily defined by the policies and national regulations for the nuclear sector, and only secondarily - through the general policies that apply to the high education (HE) and vocational education and training (VET) systems, main attention is given to the educational activities specific for the nuclear field. This report firstly focuses on the organisation of nuclear E&T in selected countries, investigating different types of institutions, programmes, qualifications, funding mechanisms and partnerships among academia, industry, labour market and social partners. Then the attention is given to the current status and further development of tools and instruments, that support the assessment, achievement and demonstration of personal and corporate competences in the nuclear sector. Finally there is a review of current trends in nuclear E&T and recommendations to maintain and develop the skills, competences and knowledge in nuclear and radiation safety in the EU. The data on which this study is based is taken from desk research and interviews with several experts.JRC.F.4-Innovative Technologies for Nuclear Reactor Safet

    Nuclear facility decommissioning and site remedial actions: A selected bibliography, Vol. 18. Part 2. Indexes

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    Final report of the EURISOL Design Study (2005-2009) A Design Study for a European Isotope-Separation-On-Line Radioactive Ion Beam Facility

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    European Commission Contract N°515768 RIDS Published by GANI

    Public Value Management Institutional Design and Decision for the Common Good

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    In a world where the human experience is increasingly overshadowed by diversity and danger and which is currently confronting the twin challenges of a global recession and pandemic, this book provides an insight into the fundamental idea of public value which represents the ‘humanisation’ of public policy and practice. This edited volume brings together a unique set of experts from policy, commerce and academe who, in a series of case studies in the space, energy, tourism and higher education sectors, discuss how public value may be assessed, appreciated and articulated. The book describes an approach to public value management for organisations working in complex networks. It focuses upon how they can appreciate their wider role and impact on society and accommodate diversity in new institutional structures

    Simulating Ionising Radiation in Gazebo for Robotic Nuclear Inspection Challenges

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    From MDPI via Jisc Publications RouterHistory: accepted 2021-07-02, pub-electronic 2021-07-07Publication status: PublishedFunder: UK Research and Innovation; Grant(s): EP/P018505/1, EP/R026084/1Funder: Royal Academy of Engineering; Grant(s): CiET1819\13The utilisation of robots in hazardous nuclear environments has potential to reduce risk to humans. However, historical use has been largely limited to specific missions rather than broader industry-wide adoption. Testing and verification of robotics in realistic scenarios is key to gaining stakeholder confidence but hindered by limited access to facilities that contain radioactive materials. Simulations offer an alternative to testing with actual radioactive sources, provided they can readily describe the behaviour of robotic systems and ionising radiation within the same environment. This work presents a quick and easy way to generate simulated but realistic deployment scenarios and environments which include ionising radiation, developed to work within the popular robot operating system compatible Gazebo physics simulator. Generated environments can be evolved over time, randomly or user-defined, to simulate the effects of degradation, corrosion or to alter features of certain objects. Interaction of gamma radiation sources within the environment, as well as the response of simulated detectors attached to mobile robots, is verified against the MCNP6 Monte Carlo radiation transport code. The benefits these tools provide are highlighted by inclusion of three real-world nuclear sector environments, providing the robotics community with opportunities to assess the capabilities of robotic systems and autonomous functionalities
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