Hydrogen Production Technologies: From Fossil Fuels toward Renewable Sources. A Mini Review

Memristors are widely considered to be promising candidates to mimic biological synapses. In this paper, by introducing a non-ideal flux-controlled memristor model into a Hopfield neural network (HNN), a novel memristive HNN model with multi-double-scroll attractors is constructed. The parity of the number of double scrolls can be flexibly controlled by the internal parameters of the memristor. Through theoretical analysis and numerical simulation, various coexisting attractors and amplitude control are observed. Particularly, the interesting and rare phenomenon of the memristor initial offset boosting coexisting dynamics is discovered, in which the initial offset boosting coexisting double-scroll attractors with banded attraction basins are distributed in a line along the boosting route with the variation of the memristor initial condition. In addition, it is also found that the number of the initial offset boosting coexisting double-scroll attractors is closely related to the total number of scrolls and ultimately tends to infinity with increasing the total number of scrolls, meaning the emergence of extreme multistability. Then, the random performance of the initial offset boosting coexisting double-scroll attractors is tested by the NIST test suite. Moreover, an encryption scheme based on them is also proposed. The obtained results show that they have excellent randomness and are suitable for image encryption application. Finally, numerical simulation results are well demonstrated by circuit experiments, showing the feasibility of the designed memristive multi-double-scroll HNN model.

Initial offset boosting coexisting attractors in memristive multi-double-scroll Hopfield neural network

Although chaotic systems with hidden attractors have been discovered recently, there is a few investigations about relationships among them. In this work, we introduce a unique simple chaotic flow which can belong to three famous categories of hidden attractors plus systems with self-excited attractors. This new system may help us in better understanding of chaotic attractors, especially hidden chaotic attractors.

Chameleon: the most hidden chaotic flow

By introducing a flux-controlled memristor with quadratic nonlinearity into a 4D hyperchaotic system as a feedback term, a novel 5D hyperchaotic four-wing memristive system (HFWMS) is derived in this paper. The HFWMS with multiline equilibrium and three positive Lyapunov exponents presented very complex dynamic characteristics, such as the existence of chaos, hyperchaos, limit cycles, and periods. The dynamic characteristics of the HFWMS are analyzed by using equilibria, phase portraits, poincare map, Lyapunov exponential spectrum, bifurcation diagram, and spectral entropy. Of particular interest is that this novel system can generate two-wing hyperchaotic attractor under appropriate parameters and initial conditions. Moreover, the FPGA realization of the novel 5D HFWMS is reported, which prove that the system has complex dynamic behavior. Finally, synchronization of the 5D hyperchaotic system with different structures by active control and a secure signal masking application of the HFWMS are implemented based on numerical simulations and FPGA. This research demonstrates that the hardware-based design of the 5D HFWMS can be applied to various chaos-based embedded system applications including random number generation, cryptography, and secure communication.

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Analysis and FPGA Realization of a Novel 5D Hyperchaotic Four-Wing Memristive System, Active Control Synchronization, and Secure Communication Application

3-E analysis and optimization of an organic rankine flash cycle integrated with a PEM fuel cell and geothermal energy

Hardware design and implementation of a novel ANN-based chaotic generator in FPGA

In this paper, a novel chaos-ring based dual entropy core TRNG architecture on FPGA with high operating frequency and high throughput has been performed and presented. The design of dual entropy core TRNG has been generated by uniting the chaotic system-based RNG and the RO-based RNG structures on FPGA. The chaotic oscillator structure as the basic entropy source has been implemented in VHDL using Euler numerical algorithm in 32-bit IQ-Math fixed point number standart on FPGA. The designed chaotic oscillator has been synthesized for the FPGA chip and the statistics related to chip resource consumption and clock frequencies of the units have been presented. The RO-based RNG structure has been designed as the second entropy source. Chaos-ring based dual entropy core novel TRNG unit have been created by combining of these two FPGA-based structures in the XOR function used at the post processing unit. The throughput of the designed dual entropy core TRNG unit ranges 464 Mbps. The output bit streams obtained from FPGA-based novel TRNG have been subjected to NIST 800-22 test suites.

Design, FPGA implementation and statistical analysis of chaos-ring based dual entropy core true random number generator

Metastable oscillators are a special case of chaotic attractors with infinite coexisting attractors. In this paper we propose a class of hyperjerk chaotic oscillators which exhibits megastability with and without forcing term. As the systems have infinite equilibrium points, all these coexisting attractors falls in the special category of hidden attractors. We have considered the unforced hyperjerk system to show the multiscrolls and also to investigate the system bifurcations. Then, the proposed hyperjerk multiscroll chaotic system has been designed as ANN-based on FPGA. TanSig activation function, used in the design of ANN-based chaotic oscillator, has been modeled using CORDIC-LUT approximation. To improve the chaos-based engineering applications, this paper presents a new dual entropy core hybrid TRNG having high speed by using the structures of ANN-based chaotic system and ring oscillator. The designs have been coded in VHDL with respect to IEEE-754-1985 number standard. The implemented new proposed TRNG unit has been synthesized for Virtex-6 FPGA chip. After the Place-Route process, FPGA chip statistics and maximum operating frequency have been given as 167.4 MHz. 1 million bit stream generated by the proposed TRNG has been subjected to NIST-800-22 randomness tests and it has successfully passed all of the randomness tests.

Hyperjerk multiscroll oscillators with megastability: Analysis, FPGA implementation and a novel ANN-ring-based True Random Number Generator

A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array

Artificial Neural Networks based thermodynamic and economic analysis of a hydrogen production system assisted by geothermal energy on Field Programmable Gate Array

Murat Alcin

Papers

Hardware design and implementation of a novel ANN-based chaotic generator in FPGA

Design, FPGA implementation and statistical analysis of chaos-ring based dual entropy core true random number generator

Hyperjerk multiscroll oscillators with megastability: Analysis, FPGA implementation and a novel ANN-ring-based True Random Number Generator

A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array

Artificial Neural Networks based thermodynamic and economic analysis of a hydrogen production system assisted by geothermal energy on Field Programmable Gate Array