Kalman observers in estimating the states of chaotic neurons for image encryption under MQTT for IoT protocol

Díaz-Muñoz, Jonathan Daniel; Cruz-Vega, Israel; Tlelo‐Cuautle, Esteban; Ramírez-Cortés, Juan Manuel; Rangel-Magdaleno, José

doi:10.1140/epjs/s11734-021-00319-2

Cited by 9 publications

(3 citation statements)

References 32 publications

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“…UKF is proved to be a powerful technique for estimating the state of chaotic neurons (Ref. [31]). Therefore, in this section, we will also make a comparison with UKF.…”

Section: Discussionmentioning

confidence: 99%

Automatic Tracking of Muscle Fiber Direction in Ultrasound Images Based on Improved Kalman Filter

2022

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Ultrasound myograph (SMG) is a real-time and dynamic acquisition of muscle structure parameter changes by recording ultrasound images of muscle contraction through an ultrasound instrument. Muscle parameters are essential for judging whether the muscle and the human body are healthy. In order to solve the problem of muscle fiber tracking in a sequence of ultrasound muscle images, we propose a method to track the direction of muscle fibers automatically based on the improved Kalman filter. Firstly, the measurement value of the muscle fiber direction is obtained by introducing a reference line into the ultrasound muscle image based on deep learning. Secondly, the framework of a Kalman filter is improved by introducing a set of neural units. Finally, the optimal estimated value of muscle fiber direction is obtained by combining the measured value with the improved Kalman filter. It is verified by conducting experiments where the result obtained by our proposed method is closer to the manually labeled value compared with the original measurement method, and the root mean square error is reduced by about 10%.

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“…UKF is proved to be a powerful technique for estimating the state of chaotic neurons (Ref. [31]). Therefore, in this section, we will also make a comparison with UKF.…”

Section: Discussionmentioning

confidence: 99%

Automatic Tracking of Muscle Fiber Direction in Ultrasound Images Based on Improved Kalman Filter

2022

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“…The author designs a new data-hiding algorithm for multi-channel biomedical signals with this new chaotic system. Díaz-Muñoz et al [ 18 ] use the chaotic systems based on the Hopfield, Cellular, Aihara, and the Rulkov neural models to propose and implement on Raspberry Pi. It enables communication with a Machine to Machine (M2M) broker using the MQTT for IoT protocol.…”

Section: Dynamics Of Neural Networkmentioning

confidence: 99%

Complex bio rhythms

Akgül

Savi

Yıldız

et al. 2022

Eur. Phys. J. Spec. Top.

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Complex biorhythms are characteristic of ubiquitous phenomena appearing in many disciplines of human knowledge. This Special Issue collects articles devoted to different complex biorhythms phenomena such as cardiac dynamics, Covid-19 dynamics, dynamics of neural networks, cell dynamics, and a few articles devoted to general methods. It furnishes a rich overview of the field and can stimulate and inspire further researches.

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“…Daniel et al proposed chaotic systems based on artificial neurons, which can present high randomness levels. Thus, pseudo-random can generate from different chaotic neural models [15].…”

Section: Introductionmentioning

confidence: 99%

Provable image encryption scheme via trapdoor permutation

Liu

2022

IET Image Processing

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Nowadays, due to the advancement in networks, it has become easy to share multimedia information such as images, voice, and videos in real‐time. In the process of multimedia storage and transmission, it is crucial to ensure the security and privacy of multimedia data. The attendant issue is how to encrypt images or videos safely and efficiently. Here, a provable security model of image encryption is presented. Then, a new public image encryption scheme based on one‐way trapdoor permutation, with security in the presence of honest adversaries, is proposed. Furthermore, random reusable technology is adopted to improve efficiency and shorten ciphertext. Finally, the simulation results show the validity of the encryption scheme.

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Kalman observers in estimating the states of chaotic neurons for image encryption under MQTT for IoT protocol

Cited by 9 publications

References 32 publications

Automatic Tracking of Muscle Fiber Direction in Ultrasound Images Based on Improved Kalman Filter

Automatic Tracking of Muscle Fiber Direction in Ultrasound Images Based on Improved Kalman Filter

Complex bio rhythms

Provable image encryption scheme via trapdoor permutation

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