Abstract To ensure the confidentiality and integrity of image data prevent unauthorized tampering privacy leaks. This study proposes a new color encryption scheme based on Mackey–Glass time-delay chaotic system quantum random walk. approach fully leverages unpredictability walks to generate values. It combines differences in Hamming distance between three RGB channels images create highly complex key. The overall independent are arranged ascending order using Logistic-tent mapping obfuscate...

Abstract In order to address the issues of privacy breaches, data tampering, and security threats in realm image encryption information security, it is essential ensure confidentiality, integrity, reliability data. this paper, we propose a novel hybrid color scheme that increases complexity key space provides better integrity protection by combining quantum random walk SHA-256 algorithm. At same time, three chaotic systems were combined, multiple XOR operations introduced effectively...

Quantum behaved particle swarm algorithm is a new intelligent optimization algorithm; the has less parameters and easily implemented. In view of existing quantum for premature convergence problem, put forward based on artificial fish swarm. The algorithm, introducing following activities, meanwhile using adaptive parameters, to avoid it falling into local extremum population. experimental results show improved improve ability algorithm.

We investigate the properties of asymmetric quark matter and strange in framework SU(3) Nambu--Jona-Lasinio (NJL) model with two types vector interactions: (1) flavor-dependent repulsion among different flavors quarks coupling constant ${G}_{V}$, (2) universal vector-isovector interaction constants ${g}_{V}$ ${G}_{IV}$. Using these interactions NJL model, we study symmetry energy matter, constituent mass, fraction, equation state maximum mass a star, QCD phase diagram. find that including...

We study the properties of strange quark matter (SQM) and stars (QSs) in strong magnetic fields within extended confined isospin-density-dependent mass (CIDDM) model including temperature dependence equivalent for quarks. The symmetry energy, free equation state (EOS) SQM constant at finite are investigated, it is found that CIDDM considering can both significantly influence maximum stars. Using density-dependent field assuming two extreme cases orientation QSs (the radial which local along...

Remote sensing data plays an important role in natural disaster management. However, with the increase of variety and quantity remote sensors, problem "knowledge barriers" arises when users field retrieve data. To improve this problem, paper proposes ontology rule based retrieval (ORR) method to data, introduces technology express earthquake knowledge, on basis, realizes task suitability reasoning mining semantic relationship between metadata disasters. The prototype system is built...

Accurate prediction of air quality index is a challenging task, in order to solve the gradient problem traditional neural network methods time series process as well improve accuracy, study proposes hybrid quantum model based on activation function. The utilizes classical convolutional tap into spatial correlations between different periods and combines it with function so better avoid death RELU for feature extraction, then uses long short term memory capture observations at times....

We extend the SU(3) Nambu–Jona-Lasinio (NJL) model to include two types of vector interaction. Using these interaction in NJL model, we study quark symmetry free energy asymmetric matter, constituent mass, fraction, equation state (EOS) for $$\beta $$ -equilibrium maximum mass QSs at finite temperature, proto-quark stars (PQSs) along star evolution, and effects on QCD phase diagram. find that comparing zero temperature case, values matter get larger with increasing, which will reduce...

In this paper, an in-line, low-cost, miniature and portable spectrophotometric detection system is presented used for fast protein determination calibration in centrifugal microfluidics. Our configured with paired emitter detector diodes (PEDD), where the light beam between both LEDs collimated enhanced tolerance. It first time that a physical model of PEDD clearly presented, which could be modelled as photosensitive RC oscillator. A microfluidic contains wireless port real-time...

The current pneumonia image recognition mainly depends on the doctor's experience, but CT images of some are very similar, which leads to easy misdiagnosis. When using a neural network for recognition, there will be problems such as fall into local minimum, slow convergence speed and cause oscillation due gradient descent method. This paper proposes quantum BP (QBP) based particle swarm optimization (QPSO) recognition. QBP-QPSO realizes efficient training weights. By comparing accuracy other...

Neural network has good self‐learning and adaptive capabilities. In this paper, a wavelet neural is proposed to be used solve the value problem of fractional differential equations (FDE). We construct (WNN) with structure 1 ×N× based on function give conditions for convergence given algorithm. This method uses truncated power series solution transform original equation into an approximate solution, then, using WNN, update parameters, finally get FDE solution. Simulation results prove validity WNN.

We investigate the properties of strange quark matter (SQM) and stars (QSs) in framework SU(3) Nambu--Jona-Lasinio (NJL) model with two types vector interactions under strong magnetic fields: (1) flavor-dependent repulsion among $u$, $d$, $s$ quarks coupling constant ${G}_{V}$, (2) universal vector-isovector interaction constants ${g}_{V}$ ${G}_{IV}$. The effects on constituent mass, vacuum chemical potential, fraction SQM fields are studied, results indicate that these physical quantities...

Abstract Quantum image processing, which merges classical processing techniques with quantum computing, provides exceptional storage capacity and unparalleled parallel computing power. In this study, we present a color watermarking scheme that employs error correction codes to address issues such as pixel loss distortion during watermark embedding extraction. By utilizing the least significant bit method embed values of into those carrier image, improve scheme’s robustness. We also...

Chitosan microspheres modified by 2-pyridinecarboxaldehyde were prepared and used in the construction of a heterogeneous catalyst loaded with nano-Cu reduction reaction. The chemical structure was investigated Fourier Transform Infrared Spectroscopy (FT-IR), Scanning Electron Microscopy (SEM), Transmission (TEM), X-ray Photoelectron (XPS). Under mild conditions, such as no ligand at room temperature, successfully applied to catalyze borylation α,β-unsaturated receptors water-methanol medium,...

Forest fires are sudden and difficult to extinguish, so early risk assessment is crucial. However, there currently a lack of suitable knowledge-mining algorithms for forest fire assessment. This article proposes an improved continuous Apriori algorithm mining rules by introducing prior knowledge classify input data enhance its ability process data. Meanwhile, it constructs ontology provide standardized expression platform The cooperates with applies the results. proposed method validated...

In the field of image watermarking technology, it is very important to balance imperceptibility, robustness and embedding capacity. order solve this key problem, paper proposes a new color adaptive scheme based on discrete wavelet transform (DWT), cosine (DCT) singular value decomposition (SVD). improve security watermark, we use Lorenz hyperchaotic mapping encrypt watermark image. We adaptively determine factor by calculating Bhattacharyya distance between cover image, combine Alpha...

Digital images have become an important way of transmitting information, and the risk attacks during transmission is increasing. Image watermarking technical means protecting image information security plays role in field security. In technology, achieving a balance between imperceptibility, robustness, embedding capacity key issue. To address this issue, paper proposes high-capacity color adaptive scheme based on discrete wavelet transform (DWT), Heisenberg decomposition (HD), singular...

In this paper, by applying the theory of fractional calculus to quantum back propagation (BP) neural network, a BP algorithm based on definition Grünwald–Letnikoff (G‐L) is proposed. We choose Sigmoid linear superposition function replace activation traditional network construct structure. Experimental results prove that improves convergence speed and reduces error.

Infrared images have good anti-environmental interference ability and can capture hot target information well, but their pictures lack rich detailed texture poor contrast. Visible image has clear information, imaging process depends more on the environment, quality of environment determines visible image. This paper presents an infrared visual fusion algorithm based deep learning. Two identical feature extractors are used to extract features different scales, fuse these through specific...