Digital noise produced by a non discretized tent chaotic map

This paper investigates the vortex-induced vibration of a circular cylinder supported by flexible cantilever beams under a uniform air flow. To improve the vortex-induced vibration model, the chaotic phenomena of the vortex are modeled as a random component of the fluid force. Next, the vibration properties of a cylinder supported by a pair of elastic cantilever beams are investigated in wind-tunnel experiments over a wide range of flow speeds. The hysteresis property of the vortex-induced vibration is experimentally investigated under two conditions; the "increasedirection" condition, in which the flow speed is increased, and the "decrease-direction" condition, in which the flow speed is decreased. The time-historical responses of the vortex-induced vibration are measured and subjected to timefrequency analysis revealing the characteristics of the nonlinear coupled vibrations between the fluid and structure. The wake oscillator models with acceleration coupling and random components are evaluated in numerical simulations. The proposed models with random components more closely reproduce the experimental results than the ordinal model.

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“…Numerical simulations of Eqs. (14) and (15), collectively called the "normal random model," were conducted.…”

Section: Improving the Model By A Random Number Sequencementioning

confidence: 99%

“…Therefore, μ tent is set to 1.999 in this paper. When μ tent = 1.999, the sequence becomes an unstable multiple periodic orbit that closely represents chaos [14], [15]. Using Eq.…”

Section: Improving the Model By Tent Map Chaosmentioning

confidence: 99%

Vortex-Induced Vibration of an Elastically-Supported Cylinder Considering Random Flow Effects

Imaoka

Kobayashi

Emaru

et al. 2015

SICE Journal of Control, Measurement, and System Integration

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“…Chaos, as a non-linear phenomenon prevalent in nature, has been applied to optimization search problems by many scholars due to the randomness [53], ergodicity, and regularity of chaotic variables, which not only effectively maintains the diversity of populations, but also facilitates the algorithms to jump out of the local optimum and improves the global searching ability. The Tent chaotic mapping can be used as a chaotic sequence for generating the optimization algorithms, and the expressions are shown as follows:…”

Section: Tent Chaotic Mapsmentioning

confidence: 99%

A food quality detection method based on electronic nose technology

Wang,

Chen,

Chen

et al. 2024

Meas. Sci. Technol.

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Food quality detection is of great importance for human health and industrial production. Currently, the common detection methods are difficult to achieve the need for fast, accurate, and non-destructive detection. In this work, an electronic nose (E-nose) detection method based on the combination of Convolutional Neural Network combined with Wavelet Scattering Network (CNN-WSN) and Improved Seahorse Optimizes Kernel Extreme Learning Machine (ISHO-KELM) is proposed for identifying the quality level of a variety of food products. In the feature extraction part, the abstract features of Convolutional Neural Network (CNN) are fused with the scattering features of Wavelet Scattering Network (WSN), and the obtained CNN-WSN fusion features can characterize the original information of the food quality effectively. In the classifier design and decision-making section, chaotic mapping is used to initialize the population in the Seahorse Optimisation Algorithm (SHO), avoiding the problem that SHO may fall into local optimal solutions. The kernel parameters and regularisation coefficients of the Kernel Extreme Learning Machine (KELM) model were then optimized by improving the locomotion, predation, and reproduction behaviors of the hippocampal populations, which solved the problem of the difficult selection of the key parameters in the model, and thus improved the accuracy and generalization of the overall model. To validate the effectiveness of the proposed food quality detection model, the E-nose system was first built and milk quality data were collected independently, and then tested on two publicly available food quality datasets as well as a self-collected milk quality dataset, respectively. The experimental results show that the food quality detection method proposed in this work has good quality assessment effect on different datasets.

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“…And the application of Logistic system in electronic circuit that generates digital noise is studied in ref. [23]. In addition, to promote the realisation of the analogue circuit of discrete chaotic system, it is necessary to build its equivalent circuit simulation model.…”

Section: Introductionmentioning

confidence: 99%

Analogue circuit implementation of a new logistic‐like map

et al. 2022

Electronics Letters

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Digital noise produced by a non discretized tent chaotic map

Cited by 8 publications

References 11 publications

Vortex-Induced Vibration of an Elastically-Supported Cylinder Considering Random Flow Effects

Vortex-Induced Vibration of an Elastically-Supported Cylinder Considering Random Flow Effects

A food quality detection method based on electronic nose technology

Analogue circuit implementation of a new logistic‐like map

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