Search Results

As digital distribution networks grow in complexity, ensuring efficient fault localization has become critical for reliable power delivery. This paper introduces a novel fault localization method that synergistically combines a matrix algorithm with a ...

P300 is an important control system signal in the brain, so there is an urgent need and practical significance to work on the efficient classification of P300 event-related potentials. In this article, we design a convolutional neural network CNNnet ...

In this paper, we propose a proactive routing paradigm for delay tolerant networks (DTN) using probabilistic routing implemented via firefly particle swarm optimisation and optimised by chaos maps. DTN is a specific class of networks where there is ...

The traditional chaotic mapping encryption algorithm has the disadvantage of being vulnerable and insecure. Therefore, in order to improve the anti-attack capability and security of encryption system, an improved image encryption Method-plaintext ...

The paper proposes a cubic chaotic mapping. Its bifurcation graph and Lyapunov exponent show that the mapping owns excellent chaotic properties. A chaos-based hash function is then constructed. Compared to a chaotic hash function based on Logistic ...

Chaotic systems are sensitive to initial conditions and chaotic parameters, and the chaotic sequences are non-periodic and pseudo-random. In recent years, chaotic systems are researched more in the field of Cryptography. The paper produces chaotic ...

Keeping balance between the diversity of population and the convergence of evolution for genetic algorithm remains a work of art. It is well known that the chaotic mapping helps to maintain good diversity for population and Baldwin effect based ...

In the literature most examples on fractals are related to images produced by certain iterative processes. Here we will instead discuss how similar results may appear by mapping the unit circle using different, somewhat unusual functions. In ...