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  1. Article

    Open Access

    Impact of the COVID-19 pandemic on Bordetella pertussis infections in England

    In March 2020, England went into its first lockdown in response to the COVID-19 pandemic. Restrictions eased temporarily, followed by second and third waves in October 2020 and January 2021. Recent data showed...

    Elise Tessier, Helen Campbell, Sonia Ribeiro, Yuma Rai, Simon Burton in BMC Public Health (2022)

  2. No Access

    Chapter and Conference Paper

    Logically Sound Arguments for the Effectiveness of ML Safety Measures

    We investigate the issues of achieving sufficient rigor in the arguments for the safety of machine learning functions. By considering the known weaknesses of DNN-based 2D bounding box detection algorithms, we ...

    Chih-Hong Cheng, Tobias Schuster in Computer Safety, Reliability, and Securit… (2022)

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    Chapter and Conference Paper

    Formally Compensating Performance Limitations for Imprecise 2D Object Detection

    In this paper, we consider the imperfection within machine learning-based 2D object detection and its impact on safety. We address a special sub-type of performance limitations related to the misalignment of b...

    Tobias Schuster, Emmanouil Seferis in Computer Safety, Reliability, and Security (2022)

  4. Chapter

    Safety Assurance of Machine Learning for Perception Functions

    The latest generation of safety standards applicable to automated driving systems require both qualitative and quantitative safety acceptance criteria to be defined and argued. At the same time, the use of mac...

    Simon Burton, Christian Hellert in Deep Neural Networks and Data for Automate… (2022)

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    Book and Conference Proceedings

    Dependable Computing - EDCC 2021 Workshops

    DREAMS, DSOGRI, SERENE 2021, Munich, Germany, September 13, 2021, Proceedings

    Rasmus Adler, Dr. Amel Bennaceur in Communications in Computer and Information Science (2021)

  6. No Access

    Chapter and Conference Paper

    Safety Assurance of Machine Learning for Chassis Control Functions

    This paper describes the application of machine learning techniques and an associated assurance case for a safety-relevant chassis control system. The method applied during the assurance process is described i...

    Simon Burton, Iwo Kurzidem, Adrian Schwaiger in Computer Safety, Reliability, and Security (2021)

  7. No Access

    Chapter

    Intelligent and Connected Cyber-Physical Systems: A Perspective from Connected Autonomous Vehicles

    Cyber-physical systems (CPS) have broad applications in the automotive, avionics, robotics, healthcare, and power grid, where the cyber components involving information processing and networking closely intera...

    Wanli Chang, Simon Burton, Chung-Wei Lin, Qi Zhu in Intelligent Internet of Things (2020)

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    Chapter and Conference Paper

    Confidence Arguments for Evidence of Performance in Machine Learning for Highly Automated Driving Functions

    Due to their ability to efficiently process unstructured and highly...

    Simon Burton, Lydia Gauerhof in Computer Safety, Reliability, and Security (2019)

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    Chapter and Conference Paper

    Challenges in Assuring Highly Complex, High Volume Safety-Critical Software

    Safety standards such as IEC 61508 [1] and ISO 26262 [2] were written assuming that highly complex safety-critical systems were self-contained, capital intensive, one-off products and that the assurance argument...

    John MacGregor, Simon Burton in Computer Safety, Reliability, and Security (2018)

  10. No Access

    Chapter and Conference Paper

    Structuring Validation Targets of a Machine Learning Function Applied to Automated Driving

    The validation of highly automated driving vehicles is an important challenge to the automotive industry, since even if the system is free from internal faults, its behaviour might still vary from the original...

    Lydia Gauerhof, Peter Munk, Simon Burton in Computer Safety, Reliability, and Security (2018)

  11. No Access

    Chapter and Conference Paper

    Making the Case for Safety of Machine Learning in Highly Automated Driving

    This paper describes the challenges involved in arguing the safety of highly automated driving functions which make use of machine learning techniques. An assurance case structure is used to highlight the syst...

    Simon Burton, Lydia Gauerhof in Computer Safety, Reliability, and Security (2017)

  12. No Access

    Chapter

    What Is It Like to Be a Bird? Epistemic Humility and Human-Animal Relations

    Birds are everywhere. One of the reasons for this ubiquity is the power of flight, allowing the exploitation of a wide range of habitats which might be otherwise inaccessible. That they participate in so many ...

    Simon Burton, Emily Brady in Animal Ethics in the Age of Humans (2016)

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    Chapter and Conference Paper

    A Family-Oriented Software Development Process for Engine Controllers

    This paper presents a software engineering process that includes family-based aspects for aero-engine control software. The process uses a “family capability” derived from family analysis of the embedding syst...

    Karen Allenby, Simon Burton, Darren Buttle in Product Focused Software Process Improveme… (2001)

  14. No Access

    Article

    Design and assembly of solid-phases for the effective recovery of nanoparticulate bioproducts in fluidised bed contactors

    Practical recovery of nanoparticulate bioproducts from suspension feedstocks has been studied in batch, fixed bed and fluidised bed adsorptive contactors. The performance of five discrete configurations of ads...

    Zhanren Zhang, Simon Burton, Sharon Williams, Eric Thwaites in Bioseparation (2001)