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Hyperjerk multiscroll oscillators with megastability: Analysis, FPGA implementation and a novel ANN-ring-based True Random Number Generator
(Elsevier Gmbh, 2019)
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 ...
High speed FPGA-based chaotic oscillator design
(Microprocessors and Microsystems, Elsevier, 2019)
In this study, autonomous Lü-Chen (2002) chaotic system has been implemented on FPGA using Heun numerical algorithm in VHDL 32-bit IQ-Math fixed-point number format for developing embedded chaosbased engineering applications. ...
A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array
(2019)
It is well observed that cryptographic applications have great challenges in guaranteeing high security as well as high throughput. Artificial neural network (ANN)–based chaotic true random number generator (TRNG) structure ...
Artificial Neural Networks based thermodynamic and economic analysis of a hydrogen production system assisted by geothermal energy on Field Programmable Gate Array
(Pergamon-Elsevier Science Ltd, 2019)
In this study, the thermodynamic and economic analysis of a geothermal energy assisted hydrogen production system was performed using real-time Artificial Neural Networks on Field Programmable Gate Array. During the modeling ...
A novel high speed Artificial Neural Network-based chaotic True Random Number Generator on Field Programmable Gate Array
(Wiley, 2019)
It is well observed that cryptographic applications have great challenges in guaranteeing high security as well as high throughput. Artificial neural network (ANN)-based chaotic true random number generator (TRNG) structure ...
The Chaos-Based Dual Entropy Core TRNG On FPGA: VHDL CODES of Chaotic Systems
(LAMBERT Academic Publication (LAP), 2019)
Chaotic systems exhibit complex and aperiodic behavior, sensitive dependence on initial conditions and emerge in deterministic nonlinear systems. Due to these features, intensive studies have been carried out on the ...
Dynamical analysis, sliding mode synchronization of a fractional-order memristor Hopfield neural network with parameter uncertainties and its non-fractional-order FPGA implementation
(Springer Heidelberg, 2019)
Recent developments in the applications of neural networks in various engineering and technology applications have motivated researchers to study the nonlinear behavior of such networks. In this work we investigate a ...
