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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We used the Markov process to impose parameter perturbation on affine transformations to overcome the self-similarity limitations of the fractal attractor of the classic iterated function system (IFS) and construct a fractal image with irregular shapes and features. Then, a control method for the IFS system for fractal image generation was proposed. This method decomposes the original IFS into several independent local subsystems. Then, we defined a transition probability matrix of the Markov process for each of the different local subsystems, and carried out image shape operation of a perturbation function to increase the control of the fractal image. This method can construct colorful fractal images effectively through computer image generation.

Sensing and Controlling with Markov Process for Locally Independent Fractal Image