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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this work, an oxide memristor was utilized for analog computing, which exhibited controllable transitions within its stable resistive states. The memristive ON and OFF states were considered to be logic 1 and logic 0, respectively, whereas the intermediate memristances represent the possible resistive states within the memristive state machine (MSM). This MSM was sprucely tailored to perform tunable edge detection. In contrast to other software based conventional edge detection systems such as Canny, Sobel, and Prewitt, the proposed MSM system performed better with around 8% improvement in accuracy of edge detection. With the level of simplicity and accuracy, the proposed system exhibits potential to be an efficient alternative to the conventional systems for edge detection and laid a concrete path for future low hardware based smart system design due to the suppression of analog-to-digital conversion.

Realization of Memristive State Machine for Smart Edge Detector Applications