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  • Nonlinear Neutral Delay Differential Equations of Fourth-Order: Oscillation of Solutions
    Entropy (IF 2.494) Pub Date : 2021-01-20
    Ravi P. Agarwal; Omar Bazighifan; Maria Alessandra Ragusa

    The objective of this paper is to study oscillation of fourth-order neutral differential equation. By using Riccati substitution and comparison technique, new oscillation conditions are obtained which insure that all solutions of the studied equation are oscillatory. Our results complement some known results for neutral differential equations. An illustrative example is included.

    更新日期:2021-01-20
  • A Simplified Fractional Order PID Controller’s Optimal Tuning: A Case Study on a PMSM Speed Servo
    Entropy (IF 2.494) Pub Date : 2021-01-20
    Weijia Zheng; Ying Luo; YangQuan Chen; Xiaohong Wang

    A simplified fractional order PID (FOPID) controller is proposed by the suitable definition of the parameter relation with the optimized changeable coefficient. The number of the pending controller parameters is reduced, but all the proportional, integral, and derivative components are kept. The estimation model of the optimal relation coefficient between the controller parameters is established, according

    更新日期:2021-01-20
  • Non-Normalizable Quasi-Equilibrium Solution of the Fokker–Planck Equation for Nonconfining Fields
    Entropy (IF 2.494) Pub Date : 2021-01-20
    Celia Anteneodo; Lucianno Defaveri; Eli Barkai; David A. Kessler

    We investigate the overdamped Langevin motion for particles in a potential well that is asymptotically flat. When the potential well is deep as compared to the temperature, physical observables, like the mean square displacement, are essentially time-independent over a long time interval, the stagnation epoch. However, the standard Boltzmann–Gibbs (BG) distribution is non-normalizable, given that the

    更新日期:2021-01-20
  • Variationally Inferred Sampling through a Refined Bound
    Entropy (IF 2.494) Pub Date : 2021-01-19
    Víctor Gallego; David Ríos Insua

    In this work, a framework to boost the efficiency of Bayesian inference in probabilistic models is introduced by embedding a Markov chain sampler within a variational posterior approximation. We call this framework “refined variational approximation”. Its strengths are its ease of implementation and the automatic tuning of sampler parameters, leading to a faster mixing time through automatic differentiation

    更新日期:2021-01-19
  • Quantum Mechanics and Its Evolving Formulations
    Entropy (IF 2.494) Pub Date : 2021-01-19
    Jean-Pierre Antoine

    In this paper, we discuss the time evolution of the quantum mechanics formalism. Starting from the heroic beginnings of Heisenberg and Schrödinger, we cover successively the rigorous Hilbert space formulation of von Neumann, the practical bra-ket formalism of Dirac, and the more recent rigged Hilbert space approach.

    更新日期:2021-01-19
  • Dynamics of Ion Channels via Non-Hermitian Quantum Mechanics
    Entropy (IF 2.494) Pub Date : 2021-01-19
    Tobias Gulden; Alex Kamenev

    We study dynamics and thermodynamics of ion transport in narrow, water-filled channels, considered as effective 1D Coulomb systems. The long range nature of the inter-ion interactions comes about due to the dielectric constants mismatch between the water and the surrounding medium, confining the electric filed to stay mostly within the water-filled channel. Statistical mechanics of such Coulomb systems

    更新日期:2021-01-19
  • Information-Theoretic Generalization Bounds for Meta-Learning and Applications
    Entropy (IF 2.494) Pub Date : 2021-01-19
    Sharu Theresa Jose; Osvaldo Simeone

    Meta-learning, or “learning to learn”, refers to techniques that infer an inductive bias from data corresponding to multiple related tasks with the goal of improving the sample efficiency for new, previously unobserved, tasks. A key performance measure for meta-learning is the meta-generalization gap, that is, the difference between the average loss measured on the meta-training data and on a new,

    更新日期:2021-01-19
  • An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks
    Entropy (IF 2.494) Pub Date : 2021-01-19
    Kaixuan Zhang; Qinglong Wang; C. Lee Giles

    Recently, there has been a resurgence of formal language theory in deep learning research. However, most research focused on the more practical problems of attempting to represent symbolic knowledge by machine learning. In contrast, there has been limited research on exploring the fundamental connection between them. To obtain a better understanding of the internal structures of regular grammars and

    更新日期:2021-01-19
  • A Refined Composite Multivariate Multiscale Fluctuation Dispersion Entropy and Its Application to Multivariate Signal of Rotating Machinery
    Entropy (IF 2.494) Pub Date : 2021-01-19
    Chenbo Xi; Guangyou Yang; Lang Liu; Hongyuan Jiang; Xuehai Chen

    In the fault monitoring of rotating machinery, the vibration signal of the bearing and gear in a complex operating environment has poor stationarity and high noise. How to accurately and efficiently identify various fault categories is a major challenge in rotary fault diagnosis. Most of the existing methods only analyze the single channel vibration signal and do not comprehensively consider the multi-channel

    更新日期:2021-01-19
  • A Multi-Class Automatic Sleep Staging Method Based on Photoplethysmography Signals
    Entropy (IF 2.494) Pub Date : 2021-01-18
    Xiangfa Zhao; Guobing Sun

    Automatic sleep staging with only one channel is a challenging problem in sleep-related research. In this paper, a simple and efficient method named PPG-based multi-class automatic sleep staging (PMSS) is proposed using only a photoplethysmography (PPG) signal. Single-channel PPG data were obtained from four categories of subjects in the CAP sleep database. After the preprocessing of PPG data, feature

    更新日期:2021-01-18
  • Probabilistic Models with Deep Neural Networks
    Entropy (IF 2.494) Pub Date : 2021-01-18
    Andrés R. Masegosa; Rafael Cabañas; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón

    Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate probabilistic inference is feasible. However, developments in variational inference, a general form of approximate probabilistic inference that originated in statistical physics

    更新日期:2021-01-18
  • On the Scope of Lagrangian Vortex Methods for Two-Dimensional Flow Simulations and the POD Technique Application for Data Storing and Analyzing
    Entropy (IF 2.494) Pub Date : 2021-01-18
    Kseniia Kuzmina; Ilia Marchevsky; Irina Soldatova; Yulia Izmailova

    The possibilities of applying the pure Lagrangian vortex methods of computational fluid dynamics to viscous incompressible flow simulations are considered in relation to various problem formulations. The modification of vortex methods—the Viscous Vortex Domain method—is used which is implemented in the VM2D code developed by the authors. Problems of flow simulation around airfoils with different shapes

    更新日期:2021-01-18
  • Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network
    Entropy (IF 2.494) Pub Date : 2021-01-18
    Tao Wang; Changhua Lu; Yining Sun; Mei Yang; Chun Liu; Chunsheng Ou

    Early detection of arrhythmia and effective treatment can prevent deaths caused by cardiovascular disease (CVD). In clinical practice, the diagnosis is made by checking the electrocardiogram (ECG) beat-by-beat, but this is usually time-consuming and laborious. In the paper, we propose an automatic ECG classification method based on Continuous Wavelet Transform (CWT) and Convolutional Neural Network

    更新日期:2021-01-18
  • The Broadcast Approach in Communication Networks
    Entropy (IF 2.494) Pub Date : 2021-01-18
    Ali Tajer; Avi Steiner; Shlomo Shamai (Shitz)

    In this paper we review the theoretical and practical principles of the broadcast approach to communication over state-dependent channels and networks in which the transmitters have access to only the probabilistic description of the time-varying states while remaining oblivious to their instantaneous realizations. When the temporal variations are frequent enough, an effective long-term strategy is

    更新日期:2021-01-18
  • Kolmogorovian versus Non-Kolmogorovian Probabilities in Contextual Theories
    Entropy (IF 2.494) Pub Date : 2021-01-18
    Claudio Garola

    Most scholars maintain that quantum mechanics (QM) is a contextual theory and that quantum probability does not allow for an epistemic (ignorance) interpretation. By inquiring possible connections between contextuality and non-classical probabilities we show that a class TμMP of theories can be selected in which probabilities are introduced as classical averages of Kolmogorovian probabilities over

    更新日期:2021-01-18
  • Wave-Particle Duality Relation with a Quantum Which-Path Detector
    Entropy (IF 2.494) Pub Date : 2021-01-18
    Dongyang Wang; Junjie Wu; Jiangfang Ding; Yingwen Liu; Anqi Huang; Xuejun Yang

    According to the relevant theories on duality relation, the summation of the extractable information of a quanton’s wave and particle properties, which are characterized by interference visibility V and path distinguishability D, respectively, is limited. However, this relation is violated upon quantum superposition between the wave-state and particle-state of the quanton, which is caused by the quantum

    更新日期:2021-01-18
  • Beyond Causal Explanation: Einstein’s Principle Not Reichenbach’s
    Entropy (IF 2.494) Pub Date : 2021-01-16
    Michael Silberstein; William Mark Stuckey; Timothy McDevitt

    Our account provides a local, realist and fully non-causal principle explanation for EPR correlations, contextuality, no-signalling, and the Tsirelson bound. Indeed, the account herein is fully consistent with the causal structure of Minkowski spacetime. We argue that retrocausal accounts of quantum mechanics are problematic precisely because they do not fully transcend the assumption that causal or

    更新日期:2021-01-18
  • No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors
    Entropy (IF 2.494) Pub Date : 2021-01-16
    Jorio Cocola; Paul Hand; Vladislav Voroninski

    We provide a non-asymptotic analysis of the spiked Wishart and Wigner matrix models with a generative neural network prior. Spiked random matrices have the form of a rank-one signal plus noise and have been used as models for high dimensional Principal Component Analysis (PCA), community detection and synchronization over groups. Depending on the prior imposed on the spike, these models can display

    更新日期:2021-01-18
  • Optimization of an Industrial Sector Regulated by an International Treaty. The Case for Transportation of Perishable Foodstuff
    Entropy (IF 2.494) Pub Date : 2021-01-15
    Juan P. Martínez-Val; Alberto Ramos

    Transportation of perishable foodstuff is an engineering and commercial activity ruled by an international Agreement (the ATP) that needs an updated regulation. Before addressing such updating, some analyses are required about the physics of the problem, in order to identify the optimum use of the available technologies and the advantages represented by new methodologies that could be enabled soon

    更新日期:2021-01-15
  • Applications of Distributed-Order Fractional Operators: A Review
    Entropy (IF 2.494) Pub Date : 2021-01-15
    Wei Ding; Sansit Patnaik; Sai Sidhardh; Fabio Semperlotti

    Distributed-order fractional calculus (DOFC) is a rapidly emerging branch of the broader area of fractional calculus that has important and far-reaching applications for the modeling of complex systems. DOFC generalizes the intrinsic multiscale nature of constant and variable-order fractional operators opening significant opportunities to model systems whose behavior stems from the complex interplay

    更新日期:2021-01-15
  • Effects of Future Information and Trajectory Complexity on Kinematic Signal and Muscle Activation during Visual-Motor Tracking
    Entropy (IF 2.494) Pub Date : 2021-01-15
    Linchuan Deng; Jie Luo; Yueling Lyu; Rong Song

    Visual-motor tracking movement is a common and essential behavior in daily life. However, the contribution of future information to visual-motor tracking performance is not well understood in current research. In this study, the visual-motor tracking performance with and without future-trajectories was compared. Meanwhile, three task demands were designed to investigate their impact. Eighteen healthy

    更新日期:2021-01-15
  • Multi-Chaotic Analysis of Inter-Beat (R-R) Intervals in Cardiac Signals for Discrimination between Normal and Pathological Classes
    Entropy (IF 2.494) Pub Date : 2021-01-15
    Oleg Gorshkov; Hernando Ombao

    Cardiac signals have complex structures representing a combination of simpler structures. In this paper, we develop a new data analytic tool that can extract the complex structures of cardiac signals using the framework of multi-chaotic analysis, which is based on the p-norm for calculating the largest Lyapunov exponent (LLE). Appling the p-norm is useful for deriving the spectrum of the generalized

    更新日期:2021-01-15
  • Coupling between Blood Pressure and Subarachnoid Space Width Oscillations during Slow Breathing
    Entropy (IF 2.494) Pub Date : 2021-01-15
    Agnieszka Gruszecka; Magdalena K. Nuckowska; Monika Waskow; Jacek Kot; Pawel J. Winklewski; Wojciech Guminski; Andrzej F. Frydrychowski; Jerzy Wtorek; Adam Bujnowski; Piotr Lass; Tomislav Stankovski; Marcin Gruszecki

    The precise mechanisms connecting the cardiovascular system and the cerebrospinal fluid (CSF) are not well understood in detail. This paper investigates the couplings between the cardiac and respiratory components, as extracted from blood pressure (BP) signals and oscillations of the subarachnoid space width (SAS), collected during slow ventilation and ventilation against inspiration resistance. The

    更新日期:2021-01-15
  • Distance-Based Estimation Methods for Models for Discrete and Mixed-Scale Data
    Entropy (IF 2.494) Pub Date : 2021-01-14
    Elisavet M. Sofikitou; Ray Liu; Huipei Wang; Marianthi Markatou

    Pearson residuals aid the task of identifying model misspecification because they compare the estimated, using data, model with the model assumed under the null hypothesis. We present different formulations of the Pearson residual system that account for the measurement scale of the data and study their properties. We further concentrate on the case of mixed-scale data, that is, data measured in both

    更新日期:2021-01-14
  • A Hybrid Genetic-Hierarchical Algorithm for the Quadratic Assignment Problem
    Entropy (IF 2.494) Pub Date : 2021-01-14
    Alfonsas Misevičius; Dovilė Verenė

    In this paper, we present a hybrid genetic-hierarchical algorithm for the solution of the quadratic assignment problem. The main distinguishing aspect of the proposed algorithm is that this is an innovative hybrid genetic algorithm with the original, hierarchical architecture. In particular, the genetic algorithm is combined with the so-called hierarchical (self-similar) iterated tabu search algorithm

    更新日期:2021-01-14
  • Deep Task-Based Quantization
    Entropy (IF 2.494) Pub Date : 2021-01-13
    Nir Shlezinger; Yonina C. Eldar

    Quantizers play a critical role in digital signal processing systems. Recent works have shown that the performance of acquiring multiple analog signals using scalar analog-to-digital converters (ADCs) can be significantly improved by processing the signals prior to quantization. However, the design of such hybrid quantizers is quite complex, and their implementation requires complete knowledge of the

    更新日期:2021-01-13
  • Constraint Closure Drove Major Transitions in the Origins of Life
    Entropy (IF 2.494) Pub Date : 2021-01-13
    Niles E. Lehman; Stuart. A. Kauffman

    Life is an epiphenomenon for which origins are of tremendous interest to explain. We provide a framework for doing so based on the thermodynamic concept of work cycles. These cycles can create their own closure events, and thereby provide a mechanism for engendering novelty. We note that three significant such events led to life as we know it on Earth: (1) the advent of collective autocatalytic sets

    更新日期:2021-01-13
  • Neural Networks for Estimating Speculative Attacks Models
    Entropy (IF 2.494) Pub Date : 2021-01-13
    David Alaminos; Fernando Aguilar-Vijande; José Ramón Sánchez-Serrano

    Currency crises have been analyzed and modeled over the last few decades. These currency crises develop mainly due to a balance of payments crisis, and in many cases, these crises lead to speculative attacks against the price of the currency. Despite the popularity of these models, they are currently shown as models with low estimation precision. In the present study, estimates are made with first-

    更新日期:2021-01-13
  • Universal Regimes in Long-Time Asymptotic of Multilevel Quantum System Under Time-Dependent Perturbation
    Entropy (IF 2.494) Pub Date : 2021-01-12
    Vladimir Akulin

    In the framework of an exactly soluble model, one considers a typical problem of the interaction between radiation and matter: the dynamics of population in a multilevel quantum system subject to a time dependent perturbation. The algebraic structure of the model is taken richly enough, such that there exists a strong argument in favor of the fact that the behavior of the system in the asymptotic of

    更新日期:2021-01-12
  • Distribution-Dependent Weighted Union Bound
    Entropy (IF 2.494) Pub Date : 2021-01-12
    Luca Oneto; Sandro Ridella

    In this paper, we deal with the classical Statistical Learning Theory’s problem of bounding, with high probability, the true risk R(h) of a hypothesis h chosen from a set H of m hypotheses. The Union Bound (UB) allows one to state that PLR^(h),δqh≤R(h)≤UR^(h),δph≥1−δ where R^(h) is the empirical errors, if it is possible to prove that P{R(h)≥L(R^(h),δ)}≥1−δ and P{R(h)≤U(R^(h),δ)}≥1−δ, when h, qh, and

    更新日期:2021-01-12
  • Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Markets
    Entropy (IF 2.494) Pub Date : 2021-01-12
    Karime Chahuán-Jiménez; Rolando Rubilar; Hanns de la Fuente-Mella; Víctor Leiva

    In this research, statistical models are formulated to study the effect of the health crisis arising from COVID-19 in global markets. Breakpoints in the price series of stock indexes are considered. Such indexes are used as an approximation of the stock markets in different countries, taking into account that they are indicative of these markets because of their composition. The main results obtained

    更新日期:2021-01-12
  • More Tolerant Reconstructed Networks Using Self-Healing against Attacks in Saving Resource
    Entropy (IF 2.494) Pub Date : 2021-01-12
    Yukio Hayashi; Atsushi Tanaka; Jun Matsukubo

    Complex network infrastructure systems for power supply, communication, and transportation support our economic and social activities; however, they are extremely vulnerable to frequently increasing large disasters or attacks. Thus, the reconstruction of a damaged network is more advisable than an empirically performed recovery of the original vulnerable one. To reconstruct a sustainable network, we

    更新日期:2021-01-12
  • A Novel Measure Inspired by Lyapunov Exponents for the Characterization of Dynamics in State-Transition Networks
    Entropy (IF 2.494) Pub Date : 2021-01-12
    Bulcsú Sándor; Bence Schneider; Zsolt I. Lázár; Mária Ercsey-Ravasz

    The combination of network sciences, nonlinear dynamics and time series analysis provides novel insights and analogies between the different approaches to complex systems. By combining the considerations behind the Lyapunov exponent of dynamical systems and the average entropy of transition probabilities for Markov chains, we introduce a network measure for characterizing the dynamics on state-transition

    更新日期:2021-01-12
  • Application of Information Technologies and Programming Methods of Embedded Systems for Complex Intellectual Analysis
    Entropy (IF 2.494) Pub Date : 2021-01-11
    Vitalii Emelianov; Nataliia Emelianova; Anton Zhilenkov; Sergei Chernyi

    An information model is outlined, which represents an intelligent system of metallographic analysis in the form of a set of subsystems, the interaction of which ensures the performance of metallographic analysis functions. The structure of the information storage subsystem for metallographic analysis is presented. The deployment model of an intelligent metallographic analysis system is proposed and

    更新日期:2021-01-11
  • Deep Neural Network Model for Approximating Eigenmodes Localized by a Confining Potential
    Entropy (IF 2.494) Pub Date : 2021-01-11
    Luka Grubišić; Marko Hajba; Domagoj Lacmanović

    We study eigenmode localization for a class of elliptic reaction-diffusion operators. As the prototype model problem we use a family of Schrödinger Hamiltonians parametrized by random potentials and study the associated effective confining potential. This problem is posed in the finite domain and we compute localized bounded states at the lower end of the spectrum. We present several deep network architectures

    更新日期:2021-01-11
  • Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
    Entropy (IF 2.494) Pub Date : 2021-01-11
    Jan Korbel

    The maximum entropy principle consists of two steps: The first step is to find the distribution which maximizes entropy under given constraints. The second step is to calculate the corresponding thermodynamic quantities. The second part is determined by Lagrange multipliers’ relation to the measurable physical quantities as temperature or Helmholtz free energy/free entropy. We show that for a given

    更新日期:2021-01-11
  • An ESR Framework for the Study of Consciousness
    Entropy (IF 2.494) Pub Date : 2021-01-11
    Diana Stanciu

    I will argue that, in an interdisciplinary study of consciousness, epistemic structural realism (ESR) can offer a feasible philosophical background for the study of consciousness and its associated neurophysiological phenomena in neuroscience and cognitive science while also taking into account the mathematical structures involved in this type of research. Applying the ESR principles also to the study

    更新日期:2021-01-11
  • High-Entropy Alloys for Advanced Nuclear Applications
    Entropy (IF 2.494) Pub Date : 2021-01-11
    Ed J. Pickering; Alexander W. Carruthers; Paul J. Barron; Simon C. Middleburgh; David E.J. Armstrong; Amy S. Gandy

    The expanded compositional freedom afforded by high-entropy alloys (HEAs) represents a unique opportunity for the design of alloys for advanced nuclear applications, in particular for applications where current engineering alloys fall short. This review assesses the work done to date in the field of HEAs for nuclear applications, provides critical insight into the conclusions drawn, and highlights

    更新日期:2021-01-11
  • Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency
    Entropy (IF 2.494) Pub Date : 2021-01-08
    Magnus Gribbestad; Muhammad Umair Hassan; Ibrahim A. Hameed; Kelvin Sundli

    Anomaly detection refers to detecting data points, events, or behaviour that do not comply with expected or normal behaviour. For example, a typical problem related to anomaly detection on an industrial level is having little labelled data and a few run-to-failure examples, making it challenging to develop reliable and accurate prognostics and health management systems for fault detection and identification

    更新日期:2021-01-10
  • Connection between Inverse Engineering and Optimal Control in Shortcuts to Adiabaticity
    Entropy (IF 2.494) Pub Date : 2021-01-09
    Qi Zhang; Xi Chen; David Guéry-Odelin

    We consider fast high-fidelity quantum control by using a shortcut to adiabaticity (STA) technique and optimal control theory (OCT). Three specific examples, including expansion of cold atoms from the harmonic trap, atomic transport by moving harmonic trap, and spin dynamics in the presence of dissipation, are explicitly detailed. Using OCT as a qualitative guide, we demonstrate how STA protocols designed

    更新日期:2021-01-10
  • Transport Efficiency of Continuous-Time Quantum Walks on Graphs
    Entropy (IF 2.494) Pub Date : 2021-01-09
    Luca Razzoli; Matteo G. A. Paris; Paolo Bordone

    Continuous-time quantum walk describes the propagation of a quantum particle (or an excitation) evolving continuously in time on a graph. As such, it provides a natural framework for modeling transport processes, e.g., in light-harvesting systems. In particular, the transport properties strongly depend on the initial state and specific features of the graph under investigation. In this paper, we address

    更新日期:2021-01-10
  • Improving the Accuracy of the Fast Inverse Square Root by Modifying Newton–Raphson Corrections
    Entropy (IF 2.494) Pub Date : 2021-01-09
    Cezary J. Walczyk; Leonid V. Moroz; Jan L. Cieśliński

    Direct computation of functions using low-complexity algorithms can be applied both for hardware constraints and in systems where storage capacity is a challenge for processing a large volume of data. We present improved algorithms for fast calculation of the inverse square root function for single-precision and double-precision floating-point numbers. Higher precision is also discussed. Our approach

    更新日期:2021-01-10
  • Entropy Analysis of COVID-19 Cardiovascular Signals
    Entropy (IF 2.494) Pub Date : 2021-01-09
    Dragana Bajić; Vlado Đajić; Branislav Milovanović

    The world has faced a coronavirus outbreak, which, in addition to lung complications, has caused other serious problems, including cardiovascular. There is still no explanation for the mechanisms of coronavirus that trigger dysfunction of the cardiac autonomic nervous system (ANS). We believe that the complex mechanisms that change the status of ANS could only be solved by advanced multidimensional

    更新日期:2021-01-10
  • Robust Multiple Regression
    Entropy (IF 2.494) Pub Date : 2021-01-09
    David W. Scott; Zhipeng Wang

    As modern data analysis pushes the boundaries of classical statistics, it is timely to reexamine alternate approaches to dealing with outliers in multiple regression. As sample sizes and the number of predictors increase, interactive methodology becomes less effective. Likewise, with limited understanding of the underlying contamination process, diagnostics are likely to fail as well. In this article

    更新日期:2021-01-10
  • Entropy Generation Analysis of Hybrid Nanomaterial through Porous Space with Variable Characteristics
    Entropy (IF 2.494) Pub Date : 2021-01-10
    Muhammad Adil Sadiq; Farwa Haider; Tasawar Hayat

    Salient features of hybrid nanofluid (MoS2-SiO2/water) for Darcy–Forchheimer–Brinkman porous space with variable characteristics is examined. Heat transfer analysis subject to viscous dissipation, nonlinear thermal radiation, and heat generation/absorption is carried out. Disturbance inflow is created by an exponentially stretching curved sheet. Relevant equations are simplified by employing boundary

    更新日期:2021-01-10
  • Who Will Score? A Machine Learning Approach to Supporting Football Team Building and Transfers
    Entropy (IF 2.494) Pub Date : 2021-01-10
    Bartosz Ćwiklinski; Agata Giełczyk; Michał Choraś

    Background: the machine learning (ML) techniques have been implemented in numerous applications, including health-care, security, entertainment, and sports. In this article, we present how the ML can be used for building a professional football team and planning player transfers. Methods: in this research, we defined numerous parameters for player assessment, and three definitions of a successful transfer

    更新日期:2021-01-10
  • Optimizing Age Penalty in Time-Varying Networks with Markovian and Error-Prone Channel State
    Entropy (IF 2.494) Pub Date : 2021-01-10
    Yuchao Chen; Haoyue Tang; Jintao Wang; Jian Song

    In this paper, we consider a scenario where the base station (BS) collects time-sensitive data from multiple sensors through time-varying and error-prone channels. We characterize the data freshness at the terminal end through a class of monotone increasing functions related to Age of information (AoI). Our goal is to design an optimal policy to minimize the average age penalty of all sensors in infinite

    更新日期:2021-01-10
  • Signal Fluctuations and the Information Transmission Rates in Binary Communication Channels
    Entropy (IF 2.494) Pub Date : 2021-01-10
    Agnieszka Pregowska

    In the nervous system, information is conveyed by sequence of action potentials, called spikes-trains. As MacKay and McCulloch suggested, spike-trains can be represented as bits sequences coming from Information Sources (IS). Previously, we studied relations between spikes’ Information Transmission Rates (ITR) and their correlations, and frequencies. Now, I concentrate on the problem of how spikes

    更新日期:2021-01-10
  • Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting Convolutional Codes
    Entropy (IF 2.494) Pub Date : 2021-01-10
    Tomer Raviv; Asaf Schwartz; Yair Be’ery

    Tail-biting convolutional codes extend the classical zero-termination convolutional codes: Both encoding schemes force the equality of start and end states, but under the tail-biting each state is a valid termination. This paper proposes a machine learning approach to improve the state-of-the-art decoding of tail-biting codes, focusing on the widely employed short length regime as in the LTE standard

    更新日期:2021-01-10
  • Time-Rescaling of Dirac Dynamics: Shortcuts to Adiabaticity in Ion Traps and Weyl Semimetals
    Entropy (IF 2.494) Pub Date : 2021-01-08
    Agniva Roychowdhury; Sebastian Deffner

    Only very recently, rescaling time has been recognized as a way to achieve adiabatic dynamics in fast processes. The advantage of time-rescaling over other shortcuts to adiabaticity is that it does not depend on the eigenspectrum and eigenstates of the Hamiltonian. However, time-rescaling requires that the original dynamics are adiabatic, and in the rescaled time frame, the Hamiltonian exhibits non-trivial

    更新日期:2021-01-08
  • Minimization of Entropy Generation Rate in Hydrogen Iodide Decomposition Reactor Heated by High-Temperature Helium
    Entropy (IF 2.494) Pub Date : 2021-01-08
    Rui Kong; Lingen Chen; Shaojun Xia; Penglei Li; Yanlin Ge

    The thermochemical sulfur-iodine cycle is a potential method for hydrogen production, and the hydrogen iodide (HI) decomposition is the key step to determine the efficiency of hydrogen production in the cycle. To further reduce the irreversibility of various transmission processes in the HI decomposition reaction, a one-dimensional plug flow model of HI decomposition tubular reactor is established

    更新日期:2021-01-08
  • Microstructural Degradation of the AlMo0.5NbTa0.5TiZr Refractory Metal High-Entropy Superalloy at Elevated Temperatures
    Entropy (IF 2.494) Pub Date : 2021-01-08
    Tamsin E. Whitfield; Howard J. Stone; C. Neil Jones; Nicholas G. Jones

    Refractory metal high-entropy superalloys (RSA), which possess a nanoscale microstructure of B2 and bcc phases, have been developed to offer high temperature capabilities beyond conventional Ni-based alloys. Despite showing a number of excellent attributes, to date there has been little consideration of their microstructural stability, which is an essential feature of any material employed in high

    更新日期:2021-01-08
  • High Entropy Alloys as Filler Metals for Joining
    Entropy (IF 2.494) Pub Date : 2021-01-07
    Dan Luo; Yong Xiao; Liam Hardwick; Robert Snell; Matthew Way; Xavier Sanuy Morell; Frances Livera; Nicholas Ludford; Chinnapat Panwisawas; Hongbiao Dong; Russell Goodall

    In the search for applications for alloys developed under the philosophy of the High Entropy Alloy (HEA)-type materials, the focus may be placed on applications where current alloys also use multiple components, albeit at lower levels than those found in HEAs. One such area, where alloys with complex compositions are already found, is in filler metals used for joining. In soldering (<450 °C) and brazing

    更新日期:2021-01-07
  • Discovering Higher-Order Interactions Through Neural Information Decomposition
    Entropy (IF 2.494) Pub Date : 2021-01-07
    Kyle Reing; Greg Ver Steeg; Aram Galstyan

    If regularity in data takes the form of higher-order functions among groups of variables, models which are biased towards lower-order functions may easily mistake the data for noise. To distinguish whether this is the case, one must be able to quantify the contribution of different orders of dependence to the total information. Recent work in information theory attempts to do this through measures

    更新日期:2021-01-07
  • Mutual Information and Quantum Discord in Quantum State Discrimination with a Fixed Rate of Inconclusive Outcomes
    Entropy (IF 2.494) Pub Date : 2021-01-06
    Omar Jiménez; Miguel Angel Solís–Prosser; Leonardo Neves; Aldo Delgado

    We studied the mutual information and quantum discord that Alice and Bob share when Bob implements a discrimination with a fixed rate of inconclusive outcomes (FRIO) onto two pure non-orthogonal quantum states, generated with arbitrary a priori probabilities. FRIO discrimination interpolates between minimum error (ME) and unambiguous state discrimination (UD). ME and UD are well known discrimination

    更新日期:2021-01-06
  • Unraveling of a Strongly Correlated Dynamical Network of Residues Controlling the Permeation of Potassium in KcsA Ion Channel
    Entropy (IF 2.494) Pub Date : 2021-01-06
    Salvatore M. Cosseddu; Eunju Julia Choe; Igor A. Khovanov

    The complicated patterns of the single-channel currents in potassium ion channel KcsA are governed by the structural variability of the selectivity filter. A comparative analysis of the dynamics of the wild type KcsA channel and several of its mutants showing different conducting patterns was performed. A strongly correlated dynamical network of interacting residues is found to play a key role in regulating

    更新日期:2021-01-06
  • Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy
    Entropy (IF 2.494) Pub Date : 2021-01-06
    Jérôme Buisine; André Bigand; Rémi Synave; Samuel Delepoulle; Christophe Renaud

    The estimation of image quality and noise perception still remains an important issue in various image processing applications. It has also become a hot topic in the field of photo-realistic computer graphics where noise is inherent in the calculation process. Unlike natural-scene images, however, a reference image is not available for computer-generated images. Thus, classic methods to assess noise

    更新日期:2021-01-06
  • Matrix Product State Simulations of Non-Equilibrium Steady States and Transient Heat Flows in the Two-Bath Spin-Boson Model at Finite Temperatures
    Entropy (IF 2.494) Pub Date : 2021-01-06
    Angus J. Dunnett; Alex W. Chin

    Simulating the non-perturbative and non-Markovian dynamics of open quantum systems is a very challenging many body problem, due to the need to evolve both the system and its environments on an equal footing. Tensor network and matrix product states (MPS) have emerged as powerful tools for open system models, but the numerical resources required to treat finite-temperature environments grow extremely

    更新日期:2021-01-06
  • An Entropic Approach to Estimating the Instability Criterion of People in Floodwaters
    Entropy (IF 2.494) Pub Date : 2021-01-06
    Zhongfan Zhu; Yongpeng Zhang; Lufeng Gou; Bo Pang

    People are always susceptible to a loss of stability in urban floodwaters that leads to serious casualties. Thus, the safety criterion for the instability of people in floodwaters must be determined. In this study, the hydrodynamic criterion of the instability of people in floodwaters in terms of the incipient velocity and water depth is derived using the probability method based on Shannon entropy

    更新日期:2021-01-06
  • Techno-Economic Optimization of CSP Plants with Free-Falling Particle Receivers
    Entropy (IF 2.494) Pub Date : 2021-01-06
    Luis F. González-Portillo; Kevin Albrecht; Clifford K. Ho

    Particle receivers are one of the candidates for the next generation of CSP plants, whose goal is to reduce the levelized cost of electricity (LCOE) to 0.05 $/kWh. This paper presents a techno-economic analysis to study if a CSP system with free-falling particle receiver can achieve this goal. The plant analyzed integrates two ground-based bins to store the excess energy and a supercritical CO2 cycle

    更新日期:2021-01-06
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