In this paper, we introduce a novel discrete chaotic map named zigzag map that demonstrates excellent chaotic behaviors and can be utilized in truly random number generators (TRNGs). We comprehensively investigate the map and explore its critical chaotic characteristics and parameters. We further present two circuit implementations for the zigzag map based on the switched current technique as w...

A chaotic map has sensitivity to a change in initial conditions and parameters, and a long-term forecast becomes impossible by iterations of a chaotic map. These features look similar to the properties of the cryptology. For that reason, it is effective to use chaotic maps for cryptosystems. In this research, we propose a cryptosystem using iterations of a chaotic map. This cryptosystem uses ex...

Chaotic behavior arising from very simple non-linear dynamical equation of logistic map makes it was used often in designing chaotic image encryption schemes. However, some properties of chaotic maps can also facilitate cryptanalysis especially when they are implemented in digital domain. Utilizing stable distribution of the chaotic states generated by iterating the logistic map, this paper pre...

A dynamic reconfiguration method based on the improved multi-objective dung beetle optimizer (IMODBO) is proposed to reduce operating cost of distribution network with distributed generation (DG) and ensure quality power supply, while also minimizing number switch operations during reconfiguration. First, a model optimization goal active loss voltage deviation established. Secondly, K-means++ c...

Forests play a vital role in increasing carbon sequestration the biosphere. In recent years, segmenting forest canopy images order to obtain various plant population parameters has become an essential means assess ecosystem. The objective of image segmentation is separate and extract sky regions from background. This study proposes hybrid method based on improved tuna swarm optimization (ITSO) ...

To address the problem of sparrow search algorithm (SSA) has poor global ability, weak local development and easily falls into optimal solution, a multi-strategy improved evolutionary (MSSA) is proposed. The introduction tent chaotic map improves diversity initialization population, accelerates convergence, convergence accuracy. Endow finders with random ability to coordinate balance between de...