English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Electronic systems are prone to failures, whether during manufacture or throughout their in-service lifetime. A number of design and fabrication techniques are presently employed that maintain an economical production yield. However, the cost of through-life maintenance and fault mitigation operations for complex, high-value systems remains a major challenge and requires new design methods in order to increase their resilience. In this article, the focus is on applications that are sensitive to transient random errors caused by single-event upsets and multiple-bit upsets occurring within their electronic systems and sub-systems, as well as applications that benefit from fault detection and localisation. A novel self-restoration strategy is proposed based on a two-layer design approach comprising a fault-tolerant coordination layer with convergent cellular automata and a configurable functional logic layer. This design strategy is able to self-reconstruct the correct functional logic configuration in the event of transient faults without external intervention. The necessary convergent cellular automata rule set and state table sizes for 3 × 3 and 4 × 4 binary coded patterns are analysed in order to estimate the generic resource requirements for larger designs. Additionally, the possibility of exploiting the design for built-in fault detection and diagnostic reporting is investigated

Creating self-configuring logic with built-in resilience to multiple-upset events