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Deterministic and Stochastic Research of Cubic Population Model with Harvesting Fluct. Noise Lett. (IF 0.988) Pub Date : 2021-01-18 Özgür Gültekin; Çağatay Eskin; Esra Yazicioğlu
A detailed examination of the effect of harvesting on a population has been carried out by extending the standard cubic deterministic model by considering a population under Allee effect with a quadratic function representing harvesting. Weak and strong Allee effect transitions, carrying capacity, and Allee threshold change according to harvesting are first discussed in the deterministic model. A Fokker–Planck
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Fractal Higher-order Dispersions Model and Its Fractal Variational Principle Arising in the Field of Physcial Process Fluct. Noise Lett. (IF 0.988) Pub Date : 2021-01-06 Yasir Khan
This paper introduces the fractal version of the higher-order dispersion model for the construction of novel soliton solutions through fractal variational technology. Higher-order dispersion model theoretical study of the soliton propagation dynamics is known in the absence of self-phase modulation. In the context of negligibly small group velocity dispersion, this model involves higher-order spatio-temporal
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Uniformly Bootstrapped Cable for the Key Distribution System Using Resistors and Noise Sources Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-28 Pao-Lo Liu
Waveguide analysis indicates that a triaxial cable with uniform bootstrapping is a transmission line with an adjustable characteristic impedance. When the bootstrapping level is high, the characteristic impedance is high. The cable capacitance is reduced while the cable inductance is increased. Simulations confirm that the transmission-line circuit and the lumped-element circuit, including the mutual
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Is Foreign Capital Smarter? Multifractal Evidence from the Shanghai–Hong Kong Stock Connect Program Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-28 Qingsong Ruan; Zilin Wang; Jing Liu; Dayong Lv
This paper investigates whether foreign capital is smarter money using multifractal cross-correlation analysis (MFCCA) and nonlinear Granger Causality test. Using multifractal detrended fluctuation analysis (MF-DFA) method, we find that time series of stock returns, foreign-capital inflow from Shanghai–Hong Kong Stock Connect (SHKSC), and domestic-capital flow (proxied by margin-trading activities
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Fluctuation and Frequency of the Oscillators with Exponential Spring Using Accurate Approximate Analytical Solutions Fluct. Noise Lett. (IF 0.988) Pub Date : 2021-01-04 A. G. Davodi; H. Rezazadeh; Waleed Adel; A. Bekir; D. D. Ganji
This paper examines the fluctuation and frequency of the motion of a homogeneous solid on a horizontal plane on an exponential crisscross spring. The governing equations of this oscillator are investigated using a modified Homotopy Perturbation method, Energy balance method and artificial parameter–Linstedt–Poincare’ method. A comparison of solutions shows that the fluctuation and frequency of the
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Do High-Frequency Volatility Methods Improve the Accuracies of Risk Forecasts? Evidence from Stock Indexes and Portfolio Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-30 Siqi Xu; Kun Yang; Yifeng Zhang; Bo Li
Though the high-frequency volatility approaches are increasingly introduced to forecast financial risk in recent years, whether they can improve the accuracies of risk forecasts remains controversial. This paper compares the risk forecasting abilities of four pairs of low- and high-frequency volatility models, by calculating and evaluating the downside and upside value-at-risk and expected shortfall
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Analyzing the Impact of COVID-19 on the Cross-Correlations between Financial Search Engine Data and Movie Box Office Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-29 Renyu Wang; Yujie Xie; Hong Chen; Guozhu Jia
This paper explores the COVID-19 influences on the cross-correlation between the movie market and the financial market. The nonlinear cross-correlations between movie box office data and Google search volumes of financial terms such as Dow Jones Industrial Average (DJIA), NASDAQ and PMI are investigated based on multifractal detrended cross-correlation analysis (MF-DCCA). The empirical results show
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Analysis of Pregnancy Development by Complexity and Information-Based Analysis of Fetal Phonocardiogram (PCG) Signals Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-28 Hamidreza Namazi; Ondrej Krejcar
One of the crucial areas of pregnancy research is to analyze the pregnancy development. For this purpose, scientists analyze the different conditions of fetuses to understand their development. In this paper, we conducted complexity and information-based analyses on Phonocardiogram (PCG) signals to investigate pregnancy development. We calculated the fractal dimension, approximate entropy, and sample
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Analysis of Nonlinear Active Noise Behavior of Fuzzy Controller Using Non-Perturbation Methods Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-26 Monika Rani; Rakesh Goyal; Vikramjeet Singh
In this paper, a Fuzzy controller model has been converted into a time-dependent nonlinear model and then quadratic Riccati differential equation was analyzed to satisfy the solution of the nonlinear active noise behavior of Fuzzy controller. Further, the approximate solutions of this equation using non-perturbation methods i.e., adomian decomposition method (ADM), variational iterational method (VIM)
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Reduction of the Diffusion Equations of Ion Channel Clusters with Virtually No Increase in the Error Bound Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-26 Marifi Güler
A stochastic differential formulation for the collective dynamics of ion channel clusters in excitable membranes is developed from the so-called “reduced strong diffusion formulation”. In this error bound optimizing reduced formulation, the potassium channel states n4 and n3, and, the sodium channel states m3h1 and m2h1 are the retained states; consequently, the formulation accommodates only four channel
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Implementation of Singular Spectrum Analysis in Industrial Robot to Detect Weak Position Fluctuations Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-24 Riyadh Nazar Ali Algburi; Hongli Gao; Zaid Al-Huda
A fault or mechanical flaw causes several feeble swings in the position signal. Identification of such swings by encoders can help to identify machine performance and health status and provide a convenient alternative to a vibration-based monitoring system. In operations, the trend is usually several orders higher than the interested magnitude swings, thus increasing the difficulty of identifying feeble
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A Complementary Relation of Fluctuations between Energy and Temperature in a Small Specimen Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-23 Shoichi Nagata
Research on fluctuations in energy and temperature is presented for a small specimen. The small specimen in contact with a heat bath shows energy fluctuations, ΔE, at the constant temperature. On the other hand, when this small specimen is isolated from the reservoir and adiabatic isolation is kept, it exhibits temperature fluctuations, ΔT, at the constant energy. This means that the temperature is
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The Error Performance Evaluation of Pulse Position Modulation with Hadamard Code in High Order Modulation of Optical Wireless System Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-16 Agha Yasir Ali; Samiya Asghar; Rumaisa Iftikhar; Wang Shujun
This paper investigates the error probability of our proposed modulation technique which is produced by combining the existing pulse position modulation (PPM) technique with Hadamard code (HC). Moreover, the HC is also combined with differential PPM (DPPM). The error performances of existing technique and the proposed technique are compared at high-order modulation (HOM) and low-order modulation. The
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Acoustic Emission Signal Classification Using Feature Analysis and Deep Learning Neural Network Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-09 Jian-Da Wu; Yu-Han Wong; Wen-Jun Luo; Kai-Chao Yao
With the development of artificial intelligence in recent years, deep learning has been widely used in mechanical system signal classification but the impact of different feature extractions on the efficiency and effectiveness of deep learning neural networks is more important. In this study, a vehicle classification based on engine acoustic emission signal in the time domain, the frequency domain
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Determination of the Best Areas Behind the Noise Barriers with the Highest Performance by using a Mathematical Model Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-07 M. R. Monazzam; N. Mansouri; Hamidreza Pouragha; Mahsa Naserpour
Traffic noise barriers are one of the most important ways of environmental noise pollution control. Profiled barriers are one of the most successful noise control screens. A simple mathematical model representation of the zones behind rigid and absorbent barriers with the highest insertion loss using the destructive effect of the indirect path via barrier image is introduced. The results are compared
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Analysis of Fluctuations of Uterine Contractions in Preterm Pregnancies using Adaptive Fractal Features of Electromyography Signals Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-07 N. Punitha; P. Vardhini; S. Vinothini; S. Ramakrishnan
Analysis of fluctuations of uterine contractions under varied gestational ages is clinically significant. In this work, fluctuations associated with Preterm pregnancies are analyzed. For this, uterine electromyography (uEMG) signals in Preterm condition with varied gestational ages are considered. The signals are subjected to Adaptive Fractal Analysis (AFA) where a global trend is identified using
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Relationship Between the Structure Function of Random Time Series and the Discrete Chebyshev Spectrum Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-07 A. L. Klyuev; A. D. Davydov; B. M. Grafov
The technique of Chebyshev polynomials of discrete variable is used to analyze a random time series. The main result of the work is a new theoretical relationship between the structure function and the discrete Chebyshev spectrum. The relationship is used for the trend-resistant structural analysis of electrochemical noise of corrosion process and for the trend-resistant structural analysis of electronic
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Multifractal Fluctuation Analysis of Correlations Between the Sector Stock Markets in China and the US Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-12-07 You-Shuai Feng; Hong-Yong Wang
With the rapid development of economic globalization, the stock markets in China and the US are increasingly linked. The fluctuation features and cross-correlations of the two countries’ markets have attracted extensive attention from market investors and researchers. In this paper, the fractal analysis methods including multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA) and coupled
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Impact of Time Delay and Cross-Correlated Gaussian Colored Noises on Dynamical Characteristics and Stochastic Resonance for a Metapopulation System Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-11-23 Kang-Kang Wang; De-Cai Zong; Ya-Jun Wang; Sheng-Hong Li
In this paper, the regime shift behaviors between the prosperous state and the extinction state and stochastic resonance (SR) phenomenon for a metapopulation system subjected to time delay and correlated Gaussian colored noises are investigated. Through the numerical calculation of the modified potential function and the stationary probability density function (SPDF), one can make clearly the following
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Comparative of Influence of Noise on Frequency Estimation Provided by Three Points Interpolated Discrete Fourier Transform Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-11-19 Xirui Shao; He Wen
The paper compares the accuracy of two different three points Interpolated Discrete Fourier Transform (M3IpDFT and C3IpDFT) algorithms in the presence of Gaussian white noise. The above two algorithms use the magnitude and the complex value of spectrum line for interpolation, respectively. The theoretical expressions of variances of frequency estimation due to noise are derived and then verified by
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Comments on the “Generalized” KJLN Key Exchanger with Arbitrary Resistors: Power, Impedance, Security Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-11-17 Shahriar Ferdous; Christiana Chamon; Laszlo B. Kish
In (Nature) Science Report 5 (2015) 13653, Vadai, Mingesz and Gingl (VMG) introduce a new Kirchhoff-law-Johnson-noise (KLJN) secure key exchanger that operates with 4 arbitrary resistors (instead of 2 arbitrary resistance values forming 2 identical resistor pairs in the original system). They state that in this new, VMG-KLJN, non-equilibrium system with nonzero power flow, the security during the exchange
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Implementation and Performance Measure of Fuzzy AHP for Resource Allocation in 5G Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-11-02 R. Dhilip Kumar; V. Nagarajan
Spectrum seems to be the lifeblood of wireless communication, which is of high demand as the traffic doubles every year. This increasing demand drives towards 5G NR, which is expected to support 100 folds increase in mobile devices, gigabit user data rate, ultra-low latency, high traffic and ultra-reliability. Since most of the available spectrum has been saturated, new methods that make use of spectrum
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Generalized Sidelobe Canceller Beamforming with Combined Postfilter and Sparse NMF for Speech Enhancement Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-11-06 S. Siva Priyanka; T. Kishore Kumar
A multi-microphone array speech enhancement method using Generalized Sidelobe Canceller (GSC) beamforming with Combined Postfilter (CP) and Sparse Non-negative Matrix Factorization (SNMF) is proposed in this paper. GSC beamforming with CP and SNMF is implemented to reduce directional noise, diffuse noise, residual noise and to separate interferences in adverse environment. In this paper, the directional
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Surface Electromyography-Based Muscle Fatigue Analysis Using Binary and Weighted Visibility Graph Features Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-31 Navaneethakrishna Makaram; P. A. Karthick; Venugopal Gopinath; Ramakrishnan Swaminathan
Surface electromyography (sEMG) is a non-invasive technique to assess the electrical activity of contracting skeletal muscles. sEMG-based muscle fatigue detection plays a key role in sports medicine, ergonomics and rehabilitation. These signals are random, multicomponent, nonlinear and the degree of fluctuations is higher in dynamic contractions. Hence, the extraction of reliable biomarkers remains
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Jensen–Shannon Divergence Based on Horizontal Visibility Graph for Complex Time Series Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-22 Yi Yin; Wenjing Wang; Qiang Li; Zunsong Ren; Pengjian Shang
In this paper, we propose Jensen–Shannon divergence (JSD) based on horizontal visibility graph (HVG) to measure the time series irreversibility for both stationary and non-stationary series efficiently. Numerical simulations are first conducted to show the validity of the proposed method and then empirical applications to the financial time series and traffic time series are investigated. It can be
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Comparative Performance Evaluation of Greedy Algorithms for Speech Enhancement System Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-22 Bittu Kumar
In this paper, the performance of compressive sensing (CS)-based technique for speech enhancement has been studied and results analyzed with recovery algorithms as a comparison of their performances. This is done for several recovery algorithms such as matching pursuit, orthogonal matching pursuit, stage-wise orthogonal matching pursuit, compressive sampling matching pursuit and generalized orthogonal
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How Schrödinger’s Equation Emerges from Force Carriers Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-10 Roumen Tsekov
It is demonstrated how the Schrödinger equation emerges from stochastic momentum kicks of the force carriers, transmitting the fundamental interactions between the point particles. The picture is consistent with quantum field theory and points out that the force carriers are the only quantum particles. Since the latter are waves in the coordinate space, they are responsible for the wavy character of
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Inference on Parameters of a Geometric Process with Scaled Muth Distribution Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-08 Cenker Biçer; Hassan S. Bakouch; Hayrinisa Demirci Biçer
The problem of statistical modeling of the geometric count data with a specific probability model of lifetimes is of interest and importance in reliability. In this paper, we construct a geometric process (GP), with parameter a, for modeling the geometric count data when the distribution of first occurrence time is a scaled Muth with parameters λ and β. We investigate the estimators of the process
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Man in the Middle and Current Injection Attacks Against the KLJN Key Exchanger Compromised by DC Sources Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-05 M. Y. Melhem; L. B. Kish
This study addresses a new question regarding the security of the Kirchhoff-Law-Johnson-Noise (KLJN) scheme compromised by DC sources at Alice and Bob: What is the impact of these parasitic sources on active attacks, such as the man-in-the-middle (MITM) attack, or the current injection attack if Alice and Bod did not eliminate these sources? The surprising answer is that the parasitic DC sources actually
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Exponential Stability Analysis of Fixed Point Interfered Nonlinear Digital Systems in the Presence of Quantization and Overflow Constraints Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-07 Saddam Hussain Malik; Muhammad Tufail; Muhammad Rehan; Shakeel Ahmed
Finite word length is a practical limitation when discrete-time systems are implemented by using digital hardware. This restriction degrades the performance of a discrete-time system and may even lead it toward instability. This paper, addresses the stability and disturbance attenuation performance analysis of nonlinear discrete-time systems under the influence of energy-bounded external interferences
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Noise Removal from EMG Signal Using Adaptive Enhanced Squirrel Search Algorithm Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-10-05 B. Nagasirisha; V. V. K. D. V. Prasad
Electromyogram (EMG) signals are mostly affected by a large number of artifacts. Most commonly affecting artifacts are power line interference (PLW), baseline noise and ECG noise. This work focuses on a novel attenuation noise removal strategy which is concentrated on adaptive filtering concepts. In this paper, an enhanced squirrel search (ESS) algorithm is applied to remove noise using adaptive filters
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A Novel Adaptive Stochastic Resonance Method Based on Tristable System and its Applications Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-09-30 Gang Zhang; Chuan Jiang; Tian Qi Zhang
Stochastic resonance systems have the advantages of converting noise energy into signal energy, and have great potential in the field of signal detection and extraction. Aiming at the problems of the performance of classical stochastic resonance system whose model is not perfect enough and the correlation coefficients between parameters is too large to be optimized by algorithm, then a novel model
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Performance Optimization of DPSK and QPSK for Super Dense Wavelength Division Multiplexing System Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-09-29 Ghanendra Kumar; Chakresh Kumar
This paper investigates the performances of differential phase shift keying (DPSK) and quadrature phase shift keying (QPSK) for 400 channels super dense system for the data rate of 160, 170, 180 and 200Gbps, respectively. Evaluation has also been investigated in terms of bit error rate (BER), quality factor and received output power with varying input power. Final analysis has reflected that DPSK modulation
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Dynamical Complexity of FHN Neuron System Driven by Correlated Noises and Periodic Signal Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-09-29 Yongfeng Guo; Qiang Dong; Linjie Wang; Xiaojuan Lou
In this paper, the dynamical complexity of FHN neuron system under the co-excitation of correlated noises and periodic signals is studied by means of information theory measures. Based on the definition of statistical complexity and normalized Shannon entropy, as well as the Bandt–Pompe algorithm, the total statistical complexity and the total normalized Shannon entropy of the FHN neuron system are
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On the Theory and Design of Cold Resistors Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-09-22 Jiaao Song; Laszlo B. Kish
The concept of using special electrical circuit design to realize “cold resistors”, i.e., an active resistor circuitry with lower effective noise temperature, was first introduced about 80 years ago. Later on, various kinds of artificial resistors were applied in different research areas, such as gravitational wave detection, photo-amplifiers and quartz oscillators. Their proofs of concepts were experimentally
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Cooperative Path Planning of Multiple UAVs by using Max–Min Ant Colony Optimization along with Cauchy Mutant Operator Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-09-17 Zain Anwar Ali; Han Zhangang; Wang Bo Hang
In a dynamic environment with wind forces and tornadoes, eliminating fluctuations and noise is critical to get the optimal results. Avoiding collision and simultaneous arrival of multiple unmanned aerial vehicles (multi-UAVs) is also a great problem. This paper addresses the cooperative path planning of multi-UAVs with in a dynamic environment. To deal with the aforementioned issues, we combine the
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Option Pricing Under Multifractional Process and Long-Range Dependence Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-09-17 Raffaele Mattera; Fabrizio Di Sciorio
We introduced a new method to compute the European Call (and Put) Option price under the assumption of multifractional Brownian motion (mBm). The reason why we need a procedure for estimating the Option price is due to the absence of a closed formula for this process. To compute the Option price, we first simulated the logarithmic price under mBm and, by using a discount factor, we computed the option’s
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Detection of Large-Scale Noisy Multi-Periodic Patterns with Discrete Double Fourier Transform. II. Study of Correlations Between Patterns Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-09-15 V. R. Chechetkin; V. V. Lobzin
The discrete double Fourier transform (DDFT) was developed to search for large-scale multi-periodic patterns in the presence of noise and is based on detection of the equidistant series of harmonics generated by the periodic patterns in the discrete Fourier transform (DFT) spectra. As DDFT retains all generic features of the Fourier transform, the corresponding pattern correlation function (PCF) related
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Multifractal Properties of Meteorological Drought at Different Time Scales in a Tropical Location Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-09-15 Samuel Toluwalope Ogunjo
Tropical countries, like Nigeria, depend on rainfall for agriculture, power generation, transportation and other economic activities. Drought will hinder the performance of these activities, hence, it poses a significant threat to the economy. Understanding fluctuations and structures in droughts will help in forecasting, planning and mitigating its impact on livelihoods. In this study, the multifractal
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The Hurst Exponent of Heart Rate Variability in Neonatal Stress, Based on a Mean-Reverting Fractional Lévy Stable Motion Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-08-17 Matej Šapina; Matthieu Garcin; Karolina Kramarić; Krešimir Milas; Dario Brdarić; Marko Pirić
We aim at detecting stress in newborns by observing heart rate variability (HRV). The HRV features nonlinearities. Fractal dynamics is a usual way to model them and the Hurst exponent summarizes the fractal information. In our framework, we have observations of short duration, for which usual estimators of the Hurst exponent, like detrended fluctuation analysis (DFA), are not adapted. Moreover, we
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Conservation-Theory-Based Analysis Method About Effect of External Wind Disturbance on Small Civilian UAV Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-08-07 Wang Bohang; Wang Daobo
In the future civilian UAV market, low-altitude low-speed small UAV will obtain a dominant position. In order to achieve small UAV accurate navigation, researchers have devoted lots of efforts on disturbance-model-reference controllers to reject the external wind disturbance. As we all know, accurate modeling helps the efficiency of controller’s parameters. However, almost all the design processes
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Controlling the Rotor Angle Stability of Single Machine Infinite Bus System in the Presence of Wiener and Alpha-Stable Levy Type Power Fluctuations Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-07-23 F. Acar Savacı; Serpil Yılmaz
The integration of renewable energy sources into the power systems and the growth of electricity consumption leads to a considerable increase in the power fluctuations. In the first part of this study, the control of the rotor angle stability of single machine infinite bus system in the presence of Wiener type power fluctuations has been achieved by minimizing the corresponding stochastic sensitivity
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Multiscale Fractional Cumulative Residual Entropy of Higher-Order Moments for Estimating Uncertainty Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-07-23 Keqiang Dong; Xiaofang Zhang
The fractional cumulative residual entropy is not only a powerful tool for the analysis of complex system, but also a promising way to analyze time series. In this paper, we present an approach to measure the uncertainty of non-stationary time series named higher-order multiscale fractional cumulative residual entropy. We describe how fractional cumulative residual entropy may be calculated based on
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Non-Negative Time Series Reconstruction via Singular Spectrum Analysis: A Case Study of Precipitation Dynamics in Nigeria Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-07-23 Olushina Olawale Awe; Rahim Mahmoudvand; Paulo Canas Rodrigues
A proper understanding and analysis of the processes involved in seasonal precipitation variability and dynamics is essential to provide reliable information about climate change and how it can affect matters of critical importance such as water availability and agricultural productivity in urban cities. Precipitation data, as many other time series data present only non-negative observations, are
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Covariance and Spinorial Statistical Description of Simple Relativistic Stochastic Kinematics Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-07-17 Massimiliano Giona
It is shown that Generalized Poisson–Kac processes are closed with respect to Lorentz transformations, providing a class of covariant kinematic processes. The transformation properties of the associated partial probability densities (waves) display spinorial character in a probability space, and their spinorial character is intrinsically related to the parametrization of the internal degrees of freedom
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Evaluation and Modeling of Traffic Noise in Berhampur City, India Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-07-17 A. K. Sahu; P. K. Pradhan; S. K. Nayak; M. Pradhan; C. R. Mohanty
Traffic noise in urban areas is increasing day by day, owing to addition in the number of vehicles on road in developing and developed countries. The increase of noise level reduces the wellbeing of the exposed people. Exposure to high noise results in development of ill health including annoyance, high blood pressure, headache and other physiological and psychological problems. Noise not only affects
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Directed Searching Optimization-Based Speech Enhancement Technique Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-07-16 Sandeep Kumar
In general, the background noise degrades the speech quality. Thus, the intelligibility of the speech can be enhanced by mitigating the effects of background noise and echo suppression. So, speech enhancement can also be viewed as one of the optimization problems. In this work, directed search optimization (DSO) method is used to enhance the speech quality which is originally degraded. The performance
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Investigating the Brain Development in Newborns by Information-Based Analysis of Electroencephalography (EEG) Signal Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-07-04 Hamidreza Namazi
In this paper, we employ the information theory to analyze the development of brain as the newborn ages. We compute the Shannon entropy of Electroencephalography (EEG) signal during sleep for 10 groups of newborns who are aged 36 weeks to 45 weeks (first to the last group). Based on the obtained results, EEG signals for newborns in 36 weeks have the lowest information content, whereas EEG signals for
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Decoding of the Relationship between Brain and Facial Muscle Activities in Response to Dynamic Visual Stimuli Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-06-23 Mirra Soundirarajan; Mohammad Hossein Babini; Sue Sim; Visvamba Nathan; Hamidreza Namazi
In this research, for the first time, we analyze the relationship between facial muscles and brain activities when human receives different dynamic visual stimuli. We present different moving visual stimuli to the subjects and accordingly analyze the complex structure of electromyography (EMG) signal versus the complex structure of electroencephalography (EEG) signal using fractal theory. Based on
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Richards Growth Model Driven by Multiplicative and Additive Colored Noises: Steady-State Analysis Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-05-29 Chaoqun Xu; Sanling Yuan
We consider a Richards growth model (modified logistic model) driven by correlated multiplicative and additive colored noises, and investigate the effects of noises on the eventual distribution of population size with the help of steady-state analysis. An approximative Fokker–Planck equation is first derived for the stochastic model. By performing detailed theoretical analysis and numerical simulation
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Information-Based Classification of Electroencephalography (EEG) Signals for Healthy Adolescents and Adolescents with Symptoms of Schizophrenia Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-05-29 Hamidreza Namazi
Analysis of the brain activity is the major research area in human neuroscience. Besides many works that have been conducted on analysis of brain activity in case of healthy subjects, investigation of brain activity in case of patients with different brain disorders also has aroused the attention of many researchers. An interesting category of works belong to the comparison of brain activity between
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Quantification of Pass-by Noise Levels on Urban Roads: Effect of Engine Propulsion and Tire–Road Interaction Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-03-06 Kamineni Aditya; Venkaiah Chowdary
Vehicle speeds frequently fluctuate due to the prevailing heterogeneous traffic conditions on Indian roads. Accordingly, traffic noise levels are affected by different noise sources that depend on various vehicular and roadway characteristics. In order to simulate the actual vehicle noise generation at the possible speeds on Indian roads, an integrated method has been developed in this study to quantify
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On the Theory of a Nonlinear Dynamic Circuit Filtering Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-03-05 Dhruvi S. Bhatt; Shaival H. Nagarsheth; Shambhu N. Sharma
Stochastic Differential Equations (SDEs) describe physical systems to account for random forcing terms in the evolution of the state trajectory. The noisy sampling mixer, a component of digital wireless communications, can be regarded as a potential case from the dynamical systems’ viewpoint. The universality of the noisy sampling mixer is attributed to the fact that it adopts the structure of a nonlinear
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Vehicle Interior Sound Quality Evaluation Index Selection Scheme Based on Grey Relational Analysis Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-03-05 Jian Pan; Xiaolin Cao; Dengfeng Wang; Jing Chen; Jiankun Yuan
In the process of vehicle interior sound quality research, the subjective assessment usually requires a lot of manpower, time and material resources. It is necessary to choose appropriate objective indexes to predict the subjective results. In this paper, a sound quality evaluation index analysis and selection scheme based on grey relational analysis (GRA) is designed. In order to make a reasonable
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An Information Theoretic Approach to Originality and Bias in Science Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-02-28 L. B. Kish; C. Singh; T. Erdélyi
We introduce an information theoretic framework for a quantitative measure of originality to model the impact of various classes of biases, errors and error corrections on scientific research. Some of the open problems are also outlined.
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Signal-to-Noise Ratio Estimation in Electromyography Signals Contaminated with Electrocardiography Signals Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-02-17 Thandar Oo; Pornchai Phukpattaranont
When electromyography (EMG) signals are collected from muscles in the torso, they can be perturbed by the electrocardiography (ECG) signals from heart activity. In this paper, we present a novel signal-to-noise ratio (SNR) estimate for an EMG signal contaminated by an ECG signal. We use six features that are popular in assessing EMG signals, namely skewness, kurtosis, mean average value, waveform length
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Interference Elimination of Wall Fluctuation Pressure Test Signal of High-Speed Train Based on Phase Space Reconstruction and Vibration Interference Model Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-02-12 Chao Deng; Chunjun Chen; Qi Sun; Dongwei Wang; Zhiying He
Because of the complexity of high-speed train operation, the measured wall pressure of high-speed train will be affected by many factors, such as train vibration and environmental changes, which make the test signal inaccurate. The main interferences are the electromagnetic interference caused by the complicated electromagnetic environment and the sensor output interference caused by the train body
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Fish Sound Characterization Using Multifractal Detrended Fluctuation Analysis Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-02-10 Kranthikumar Chanda; Shubham Shet; Bishwajit Chakraborty; Arvind K. Saran; William Fernandes; G. Latha
This work involves the application of a non-linear method, multifractal detrended fluctuation analysis (MFDFA), to describe fish sound data recorded from the open waters of two major estuarine systems. Applying MFDFA, the second-order Hurst exponent h(q=2) values are found to be 1.10±0.03 and 1.43±0.02 for the fish families Batrachoididae (common name: Toadfish) and Sciaenidae (common name: Croakers
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Systemic Risk and Trading Strategy Based on Correlation-Based Networks in Stock Markets Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-02-07 Jia-Wei Yu; Qin-Qin Huang; Yong-Han Guo; Zhi-Qiang Jiang; Wen-Jie Xie
In this paper, we construct five systemic risk indicators and test their performances based on four different datasets. It is observed that the five indicators can accurately indicate the increment of systemic risks during the periods of sub-prime crisis and European debt crisis. Trading strategies based on the risk indicators are further designed to test the warning ability of future price drops.
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Complexity-Based Analysis of the Relation between Human Muscle Reaction and Walking Path Fluct. Noise Lett. (IF 0.988) Pub Date : 2020-01-28 Shahul Mujib Kamal; Sue Sim; Rui Tee; Visvamba Nathan; Hamidreza Namazi
Legs are the contact point of humans during walking. In fact, leg muscles react when we walk in different conditions (such as different speeds and paths). In this research, we analyze how walking path affects leg muscles’ reaction. In fact, we investigate how the complexity of muscle reaction is related to the complexity of path of movement. For this purpose, we employ fractal theory. In the experiment
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