Chaotic Patterns Research Articles

Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment

Resistance to differential cryptanalysis is a fundamental security requirement for symmetric block ciphers, and recently, deep learning has attracted the interest of cryptography experts, particularly in the field of block cipher cryptanalysis, where the bulk of these studies are differential distinguisher based black-box attacks. This paper provides a deep learning-based decryptor technique for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing cipher text pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plain text from the ciphered text without any P-box expertise. The evaluation of testing methods has been conceptualized as a regression task in which neural networks are supervised using a variety of parameters such as variations between input and output, number of iterations, and P-box generation patterns. On the other hand, the transfer learning skills demonstrated in this study indicate that discovering suitable testing models from the ground is also achievable using our model with optimum prior cryptographic expertise, where we contribute the results of deep learning in the field of deep learning based differential cryptanalysis development.Various experiments were performed on discrete and continuous chaotic and non-chaotic permutation patterns, and the best-performing model had an MSE of 1.8217 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">e</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-04</sup> and an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of 1, demonstrating the practicality of the suggested technique.

Experimental investigation of chaotic induced-charge electro-osmosis

Near-surface chaotic induced-charge electro-osmosis (ICEO) was numerically predicted on a metallic cylinder some years ago [Davidson et al., “Chaotic induced-charge electro-osmosis,” Phys. Rev. Lett. 112, 128302 (2014)]. However, no systematic experimental investigation has yet been conducted on this problem. In this paper, we experimentally observed that ICEO is stable in weak electric fields and becomes chaotic in strong electric fields. Unlike the numerical prediction, the observed chaotic ICEO is irregular and unstable across the whole velocity field. The chaotic ICEO flow pattern varies significantly with time. The chaos degree grows upon increasing the electric field. Moreover, the critical electric field at which the ICEO transits from the stable to chaotic state shows a dependence on the sodium chloride concentration and electric field frequency. The new findings can contribute to the understanding of ICEO and facilitate the development of ICEO-based micro- and nano-fluidic applications.

Diverse Dynamic Behaviors and Firing Activities of the Modified Fractional-Order Hindmarsh–Rose Neuronal Model Induced by Fractional-Order

It is important to investigate the firing activities of neurons, and previous experimental works have shown that fractional-order neuronal models depict the firing rate of neurons more verifiably. In this study, a modified fractional-order Hindmarsh–Rose neuronal model is proposed, and the dynamics and firing activities are investigated. Some novel phenomenon can be found. First, by analyzing numerically and theoretically, the Hopf bifurcation is found to occur when the external direct current stimulus is chosen appropriately. The effects of fractional-order on the bifurcation are also studied. Second, when injecting a direct current stimulus, compared with the integer-order model, the system has more varying dynamic behaviors and firing pattern transitions. Under different external current stimulus, periodic firing patterns and chaotic firing patterns occur when fractional-order changes, but the regions of chaotic firing patterns are different. In other words, the transition mode of periodic firing and chaotic firing induced by fractional-order is different under different external current stimulus. The two-dimensional colored diagram of firing patterns is also investigated. Finally, when injecting periodic current stimulus, regular/irregular bursting, multiple spiking, regular\irregular square wave bursting, and mixed firing mods are found by setting the appropriate fractional-order, amplitude, and frequency of the external current stimulus. Some firing patterns cannot be found in integer-order models. When the amplitude is chosen at appropriate values, the region of frequency when the system displays the mixed firing modes decreases with increasing fractional-order.

Chaotic Organic Crystal Phosphorescent Patterns for Physical Unclonable Functions (Adv. Mater. 44/2021)

Security Labeling In article 2102542, Dong Hyuk Park, Wook Park, Sunkook Kim, and co-workers demonstrate chaotic phosphorescent patterns based on an organic crystal and MoS2 heterostructure for physical unclonable functions (PUFs). Phosphorescent-pattern-based PUFs achieve superior microscale randomness and no-cloning code with ease of fabrication. In image analysis, an encoding capacity as a single PUF domain of more than 1017 is achieved on a 25 μm-cubic MoS2 sample.

Shallow seismic characteristics and distribution of gas in lacustrine sediments at Lake Erçek, Eastern Anatolia, Turkey, from high-resolution seismic data

The high-resolution analysis of single-channel, seismic reflection data from Lake Erçek (Eastern Anatolia) revealed a wide range of shallow gas anomalies consisting of enhanced reflections, seismic chimneys, acoustic blanking/acoustic turbidity, strong reflectors, and pockmarks, including both surface and buried pockmarks. The enhanced reflections are represented by the higher amplitude reflection patterns resulting from high acoustic impedance variations. They are mostly clustered in the NW-corner of the lake. Seismic chimneys are represented by vertical and thinned columnar disturbances of amplitude blanking and mostly occurred in deep basinal and faulted sections in the West and East of the lake. Some seismic chimneys, occurring together with pockmarks, represent vertical vent activations. Acoustic gas masking was represented by chaotic and diffuse seismic reflection patterns, including acoustic blanking and acoustic turbidity. As diffuse acoustic turbidity indicates gas-charged sediments, columnar disturbances showing acoustic blanking indicate degassing of the sediments. These features extend from SE to NW, coinciding with the deep basin morphology of the lake. A very local strong reflector was identified in the W-section of the lake, simulating the lake floor. This reflector is due to extended enhanced reflections, suggesting shallow free gas. Pockmarks observed in the lake are structurally classified into the two distinct types; surface (active) pockmarks found in the SE-part of the lake and buried (passive) pockmarks found in the NW. The former enlarge through deeper gas reservoir feedback, as the layering is impermeable, while the latter have resulted from a cessation of the reservoir feedback mechanism and/or permeable layering. In the lake, shallow gas distribution is controlled by faults, that provide the faulting-driven depositional control and earthquakes, that provide the seismicity-driven overpressure control. The shallow gas is then vertically–horizontally distributed and shaped by asymmetric depositional–stratigraphic factors. This study of Lake Erçek presents complementary information about a possible tectono-thermal origin of observed shallow gas.

The Effects of Fibrotic Cell Type and Its Density on Atrial Fibrillation Dynamics: An In Silico Study.

Remodeling in atrial fibrillation (AF) underlines the electrical and structural changes in the atria, where fibrosis is a hallmark of arrhythmogenic structural alterations. Fibrosis is an important feature of the AF substrate and can lead to abnormal conduction and, consequently, mechanical dysfunction. The fibrotic process comprises the presence of fibrotic cells, including fibroblasts, myofibroblasts and fibrocytes, which play an important role during fibrillatory dynamics. This work assesses the effect of the diffuse fibrosis density and the intermingled presence of the three types of fibrotic cells on the dynamics of persistent AF. For this purpose, the three fibrotic cells were electrically coupled to cardiomyocytes in a 3D realistic model of human atria. Low (6.25%) and high (25%) fibrosis densities were implemented in the left atrium according to a diffuse fibrosis representation. We analyze the action potential duration, conduction velocity and fibrillatory conduction patterns. Additionally, frequency analysis was performed in 50 virtual electrograms. The tested fibrosis configurations generated a significant conduction velocity reduction, where the larger effect was observed at high fibrosis density (up to 82% reduction in the fibrocytes configuration). Increasing the fibrosis density intensifies the vulnerability to multiple re-entries, zigzag propagation, and chaotic activity in the fibrillatory conduction. The most complex propagation patterns were observed at high fibrosis densities and the fibrocytes are the cells with the largest proarrhythmic effect. Left-to-right dominant frequency gradients can be observed for all fibrosis configurations, where the fibrocytes configuration at high density generates the most significant gradients (up to 4.5 Hz). These results suggest the important role of different fibrotic cell types and their density in diffuse fibrosis on the chaotic propagation patterns during persistent AF.

High concordance in preimplantation genetic testing for aneuploidy between automatic identification via Ion S5 and manual identification via Miseq

The Ion S5 (Thermo Fisher Scientific) and Miseq (Illumina) NGS systems are both widely used in the clinical laboratories conducting PGT-A. Each system employs discrepant library preparation steps, sequencing principles, and data processing algorithms. The automatic interpretation via Ion Reporter software (Thermo Fisher Scientific) and the manual interpretation via BlueFuse Multi software (Illumina) for chromosomal copy number variation (CNV) represent very different reporting approaches. Thus, it is intriguing to compare their ability of ploidy detection as PGT-A/NGS system. In the present study, four aneuploid cell lines were individually mixed with a diploid cell line at different aneuploid ratios of 0% (0:5), 10% (1:9), 20% (1:4), 40% (2:3), 50% (3:3), 60% (3:2), 80% (4:1) and 100% (5:0) to assess the sensitivity and specificity for whole chromosomal and segmental aneuploidy detection. The clinical biopsies of 107 blastocysts from 46 IVF/PGT-A cycles recruited between December 2019 and February 2020 were used to calculate the concordance. Initially, the pre-amplified products were divided into two aliquots for different library preparation procedures of each system. Applying the same calling criteria, automatic identification was achieved through the Ion Reporter, while well-trained technicians manually identified each sample through the BlueFuse Multi. The results displayed that both systems reliably distinguished chromosomal CNV of the mixtures with at least 10% aneuploidy from karyotypically normal samples ([Ion S5] whole-chromosomal duplication: 2.14 vs. 2.05, p value = 0.009, segmental deletion: 1.88 vs. 2.05, p value = 0.003; [Miseq] whole-chromosomal duplication: 2.12 vs. 2.03, p value = 0.047, segmental deletion: 1.82 vs. 2.03, p value = 0.002). The sensitivity and specificity were comparable between the Ion S5 and Miseq ([sensitivity] 93% vs. 90%, p = 0.78; [specificity] 100% vs. 100%, p value = 1.0). In the 107 clinical biopsies, three displayed chaotic patterns (2.8%), which could not be interpreted for the ploidy. The ploidy concordance was 99.04% (103/104) per embryo and 99.47% (2265/2277) per chromosome pair. Since their ability of detection were proven to be similar, the automatic identification in Ion S5 system presents comparatively faster and more standardized performance.

Chaotic Organic Crystal Phosphorescent Patterns for Physical Unclonable Functions.

Since the 4th Industrial Revolution, Internet of Things based environments have been widely used in various fields ranging from mobile to medical devices. Simultaneously, information leakage and hacking risks have also increased significantly, and secure authentication and security systems are constantly required. Physical unclonable functions (PUF) are in the spotlight as an alternative. Chaotic phosphorescent patterns are developed based on an organic crystal and atomic seed heterostructure for security labels with PUFs. Phosphorescent organic crystal patterns are formed on MoS2 . They seem similar on a macroscopic scale, whereas each organic crystal exhibits highly disorder features on the microscopic scale. In image analysis, an encoding capacity as a single PUF domain achieves more than 1017 on a MoS2 small fragment with lengths of 25µm. Therefore, security labels with phosphorescent PUFs can offer superior randomness and no-cloning codes, possibly becoming a promising security strategy for authentication processes.

Firing multistability, symmetry, bubbles of a Shinriki oscillator with mem-elements

In this paper, a novel memristive Shinriki oscillator is established by adding a flux-controlled memristor and a charge-controlled memcapacitor. The similar symmetry is observed with the Biolek memcapacitor model. Bubbles are also investigated with varying system parameters and initial conditions from the perspectives of cascade and location. Extreme multistability occurring with different initial conditions is clearly found in attraction basins. Different firing patterns with coexisting spiking, bursting and chaotic patterns are discussed in Shinriki oscillator. Spiking and chaotic firing with periodic coexisting large limit cycle and quiescent state are detected. In this oscillator, circle/circle buster is also observed, whose quiescent state is a small amplitude oscillation and spiking state has multiple peaks. The firing multistability of the adjusted Shinriki oscillator is implemented by a Field Programmable Gate Array (FPGA). The experimental results validate the accuracy of the numerical analysis, which shows the proposed oscillator is good for the relevant research and application.

A numerical analysis of fluid flow and heat transfer in wavy and curved wavy channels

In this paper, a curved wavy channel was proposed to further enhance the thermal performance of the conventional wavy channel. A three-dimensional model of the curved wavy channel was established with defining the overall curvature. The flow behavior and heat transfer in the wavy and curved wavy channels were numerically investigated under various wave amplitudes. The mechanism behind the observed phenomena was revealed by analyzing the synergy between velocity and temperature fields. The results indicated that the Nusselt numbers in curved wavy channels with amplitudes of 0.40 mm and 0.80 mm can be raised by 44.3% and 15.3% compared to those in conventional wavy channels. The parametric study showed that the flow resistance is more sensitive to the wavelength. For a given amplitude, curved wavy channels always show a better field synergy than conventional wavy channels. In addition, an inferior field synergy was observed near the suction side in both types of wavy channels, which indicates that the purposive improvement needs to apply to these locations. This study also found that the field synergy angle has limitations in characterizing the heat transfer intensity in the channel with small wavelengths. This is because that extremely chaotic flow patterns caused by small wavelengths result in a negative dot product of temperature gradient and velocity over a large area.

Non-linear dynamics of morphogenetic renal branching and Bifurcation analysis of chaotic patterns in autoregulation mechanisms

INTRODUCTION: Modelling of kidney physiology can add to comprehension of its work by formalizing existing information into numerical conditions and computational methods. The study evaluates the mathematical models that have been created to comprehend kidney physiology and pathophysiology. OBJE

Intensity of scattered wave energy in the slab having a discontinuity

The main purpose of this study is to explore the intensity of the scattered wave energy and the total intensity scattered around a discontinuity in a slab, considering strain and kinetic energy in the case of SH waves. The problem is very intriguing because of the multiple scattering and reflections from both the failure and the traction-free boundaries of the slab. The lowest mode of the wave is considered to decrease the complexity of the problem. Increase in frequency results in the growth of chaotic patterns with additional side lobes appearing along with the backward and forward peaks. Reflected waves of the flat boundaries in the slab disappear on the discontinuity when the thickness of the slab increases, and the results approach the infinite medium solution. However, when the size of the failure is comparable to the thickness of the slab, their effect dominates the intensity. In addition, resonance and focusing occur depending on the wavelengths and the thickness of the slab. The biggest increase in the intensity of scattered energy is especially detected on the upper and lower side of the discontinuity. All these effects of SH waves on the slab with a singularity are calculated and presented for various frequency ranges.

The enhanced light diffuse reflection of laser marking Al substrate for the back reflector purpose

This study set out with the aim of assessing the possibilities of incorporating the laser marking strategies for the purpose of diffuse back reflector fabrication. The correlation between the laser process parameters of fabricated samples’ microstructure and their optical properties has been determined. The laser texturizing was conducted on the aluminum substrate throughout the Nd:YAG (1064 nm) laser varying the laser process parameters, i.e. scanning speed (v) and pulse repetition rate (f). The effect of laser irradiation on surface nanostructure was investigated by means of confocal optical microscopy (COM) and scanning electron microscopy (SEM). In order to evaluate the phase composition and optical properties of fabricated nanotextures, the X-ray diffraction (XRD) and spectrophotometric measurements were performed. The obtained reflectance spectra of samples were used to perform the colorimetry analysis and calculate the luminous reflectance. The morphological evaluation of patterned surfaces gives evidence of periodic crater-shaped structures formation influenced by chaotic radial-ligaments patterns resulting from splashing liquid metal solidification. Laser-textured Al reflectors show almost similar total reflectance as the untreated substrate whereas the significant enhancement of diffuse reflectance of patterned sample series can be observed. The different hues of white colour appear on all laser-patterned Al surfaces. The calculated luminous reflectance of proceeded samples ranging from 65% to 75%. The overall results show the effectiveness of the laser marking process in order to obtain highly diffusive scattering layers on Al substrate without employing any additional coating.

Stationary and oscillatory localized patterns in ratio-dependent predator–prey systems

Abstract Investigations are undertaken into simple predator–prey models with rational interaction terms in one and two spatial dimensions. Focusing on a case with linear interaction and saturation, an analysis for long domains in 1D is undertaken using ideas from spatial dynamics. In the limit that prey diffuses much more slowly than predator, the Turing bifurcation is found to be subcritical, which gives rise to localized patterns within a Pomeau pinning parameter region. Parameter regions for localized patterns and isolated spots are delineated. For a realistic range of parameters, a temporal Hopf bifurcation of the balanced equilibrium state occurs within the localized-pattern region. Detailed spectral computations and numerical simulations reveal how the Hopf bifurcation is inherited by the localized structures at nearby parameter values, giving rise to both temporally periodic and chaotic localized patterns. Simulation results in 2D confirm the onset of complex spatio-temporal patterns within the corresponding parameter regions. The generality of the results is confirmed by showing qualitatively the same bifurcation structure within a similar model with quadratic interaction and saturation. The implications for ecology are briefly discussed.

The chaotic, supernonlinear, periodic, quasiperiodic wave solutions and solitons with cascaded system

In this research article, the dynamics of optical solitons in cascaded system with spatio-temporal dispersion is discussed. The Kerr medium is considered for this investigation. Two versatile integration tools have been used to extricate different traveling wave solutions. Rapid convergent approximation method has been employed to extract bright, singular and periodic solitons whereas polynomial function solutions are obtained by unified method. The constraints on the parameters for the validity of these solutions are also provided. Galilean transformation is prosecuted to construct the planer dynamical system of the said model. Runge–Kutta fourth-order technique is used to extract the non-linear periodic waves of the considered problem and consequences are depicted through different portraits. Further, by employing an extrinsic periodic force, chaotic and quasiperiodic pattern of discussed model is analyzed for different values of the parameters. While chaotic and quasiperiodic behaviors are observed for some values of parameters of considered system by keeping the force and frequency of the perturbed dynamical system fixed. Sensitive anatomy is carried out for diverse initial value problems. It is investigated that the chaotic and quasiperiodic pattern is present in the perturbed dynamical system.

Weathering the perfect storm: management of heart failure in patients with substance use disorders

Co-occurring substance use disorders (SUDs) and heart failure (HF) create a perfect storm: the drug drives cardiac pathophysiology, while complex psychosocial factors interfere with treatment efforts. Patients with SUDs and...

Automated EEG signal classification using chaotic local binary pattern

BackgroundElectroencephalography (EEG) signals are the electrical signals which depicts the brain's neuronal activities. The EEG signals inherently have nondeterministic patterns. Hence, we have used a chaotic feature generation function to classify normal and abnormal EEG signals in this work. MethodThis research presents a new generation abnormal EEG detection model using a chaotic one-dimensional local binary pattern (CLBP) and wavelet packet decomposition (WPD) techniques. The Temple University Hospital (TUH) EEG dataset is used to develop and evaluate our chaotic feature generation model. In this work, the WPD is performed on EEG signals, and then CLBP is applied on the decomposed signals to extract the features. The iterative minimum redundancy maximum relevancy (ImRMR) is applied to select the clinically significant features. Finally, these features are classified into normal and abnormal EEG classes using a support vector machine (SVM) classifier. ResultsOur developed model yielded the detection accuracies of 93.84% to 98.19% for 24 channels using SVM classifier with ten-fold cross-validation strategy. ConclusionWe have obtained the highest classification performance of 98.19% for the PZ channel that is the highest performance so far using this database. Our developed model is ready to be tested with more EEG data.

Self-Organization Regimes Induced by Ultrafast Laser on Surfaces in the Tens of Nanometer Scales.

A laser-irradiated surface is the paradigm of a self-organizing system, as coherent, aligned, chaotic, and complex patterns emerge at the microscale and even the nanoscale. A spectacular manifestation of dissipative structures consists of different types of randomly and periodically distributed nanostructures that arise from a homogeneous metal surface. The noninstantaneous response of the material reorganizes local surface topography down to tens of nanometers scale modifying long-range surface morphology on the impact scale. Under ultrafast laser irradiation with a regulated energy dose, the formation of nanopeaks, nanobumps, nanohumps and nanocavities patterns with 20–80 nm transverse size unit and up to 100 nm height are reported. We show that the use of crossed-polarized double laser pulse adds an extra dimension to the nanostructuring process as laser energy dose and multi-pulse feedback tune the energy gradient distribution, crossing critical values for surface self-organization regimes. The tiny dimensions of complex patterns are defined by the competition between the evolution of transient liquid structures generated in a cavitation process and the rapid resolidification of the surface region. Strongly influencing the light coupling, we reveal that initial surface roughness and type of roughness both play a crucial role in controlling the transient emergence of nanostructures during laser irradiation.

Computational fluid dynamics simulation of pressure drop and macromixing in LL microreactors

AbstractA computational fluid dynamics (CFD) model was developed to simulate single‐phase flow in LL microreactors using the open‐source software OpenFOAM. The k‐ω SSTLM turbulence model was implemented to account for the impact of small‐scale temporal and spatial fluctuations that emerge in the base LL mixing module (LLM) on the flow field and transport of a passive scalar. The CFD model was successfully validated based on excellent conformance to experimental pressure loss (R2 &gt; 0.997) and residence time distribution (RTD) data (R2 &gt; 0.97) at flow rates ranging from 10‐100 g/min. Streamlines, velocity, pressure, and turbulent viscosity profiles were mapped across the 3D domain of repeating reactor segments to analyze local fluid dynamics. In a continuous series of LLMs, the flow field becomes fully developed after the second module. A drastic change in flow behaviour in the LLM was identified at 30 g/min (Re = 643) based on the emergence of advective recirculation zones and significant turbulent dispersion. Recirculation zones in the LLM grow larger from 20‐50 g/min and are equal in size from 50‐100 g/min. Four LL reactor plates with differing configurations of spacing between LLMs were compared extensively by analyzing pressure drop and RTD. Plates with continuous or equally‐spaced LLMs demonstrated a near plug‐flow profile with minor dispersion (Pe &gt; 100), albeit at a greater power dissipation. Plates with longer residence‐time channels between LLMs yielded a broader and right‐skewed RTD due to the intermittent attenuation of chaotic flow patterns.

Digital analysis of a speckle pattern of chaotic mode composition and restoration of a regular intensity pattern after a multimode fiber

A process of mode matching in a chaotic speckle pattern without a reference beam responsible for the formation of a holographic grating was studied experimentally and theoretically. Our approach was based on measuring the amplitudes and phases of the Hermite-Gauss (HG) and Laguerre-Gauss (LG) modes in a speckle pattern formed by the radiation of a multimode gradient fiber. The speckle pattern was formed in a hologram of a spatial light modulator using a multimode gradient fiber model while taking into account the mode and polarization dispersion, as well as random phase jumps of each eigenmode. We managed to match 210 modes of the speckle pattern and restore not only the original pattern, but also each structured LG mode and the entire chain of HG eigenmodes.