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  • The Smoluchowski Ensemble—Statistical Mechanics of Aggregation
    Entropy (IF 2.494) Pub Date : 2020-10-20
    Themis Matsoukas

    We present a rigorous thermodynamic treatment of irreversible binary aggregation. We construct the Smoluchowski ensemble as the set of discrete finite distributions that are reached in fixed number of merging events and define a probability measure on this ensemble, such that the mean distribution in the mean-field approximation is governed by the Smoluchowski equation. In the scaling limit this ensemble

    更新日期:2020-10-20
  • Information–Theoretic Radar Waveform Design under the SINR Constraint
    Entropy (IF 2.494) Pub Date : 2020-10-20
    Yu Xiao; Zhenghong Deng; Tao Wu

    This study investigates the information–theoretic waveform design problem to improve radar performance in the presence of signal-dependent clutter environments. The goal was to study the waveform energy allocation strategies and provide guidance for radar waveform design through the trade-off relationship between the information theory criterion and the signal-to-interference-plus-noise ratio (SINR)

    更新日期:2020-10-20
  • Behavioural Effects and Market Dynamics in Field and Laboratory Experimental Asset Markets
    Entropy (IF 2.494) Pub Date : 2020-10-20
    Sandra Andraszewicz; Ke Wu; Didier Sornette

    A vast literature investigating behavioural underpinnings of financial bubbles and crashes relies on laboratory experiments. However, it is not yet clear how findings generated in a highly artificial environment relate to the human behaviour in the wild. It is of concern that the laboratory setting may create a confound variable that impacts the experimental results. To explore the similarities and

    更新日期:2020-10-20
  • Two-Qubit Entanglement Generation through Non-Hermitian Hamiltonians Induced by Repeated Measurements on an Ancilla
    Entropy (IF 2.494) Pub Date : 2020-10-20
    Roberto Grimaudo; Antonino Messina; Alessandro Sergi; Nikolay V. Vitanov; Sergey N. Filippov

    In contrast to classical systems, actual implementation of non-Hermitian Hamiltonian dynamics for quantum systems is a challenge because the processes of energy gain and dissipation are based on the underlying Hermitian system–environment dynamics, which are trace preserving. Recently, a scheme for engineering non-Hermitian Hamiltonians as a result of repetitive measurements on an ancillary qubit has

    更新日期:2020-10-20
  • Shape Effect of Nanosize Particles on Magnetohydrodynamic Nanofluid Flow and Heat Transfer over a Stretching Sheet with Entropy Generation
    Entropy (IF 2.494) Pub Date : 2020-10-18
    Umair Rashid; Dumitru Baleanu; Azhar Iqbal; Muhammd Abbas

    Magnetohydrodynamic nanofluid technologies are emerging in several areas including pharmacology, medicine and lubrication (smart tribology). The present study discusses the heat transfer and entropy generation of magnetohydrodynamic (MHD) Ag-water nanofluid flow over a stretching sheet with the effect of nanoparticles shape. Three different geometries of nanoparticles—sphere, blade and lamina—are considered

    更新日期:2020-10-19
  • Correction: Biś, A., et al. Hausdorff Dimension and Topological Entropies of a Solenoid. Entropy 2020, 22, 506
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Andrzej Biś; Agnieszka Namiecińska

    Note: In lieu of an abstract, this is an excerpt from the first page. The authors wish to make the following corrections to this paper [...]

    更新日期:2020-10-19
  • Application of Positional Entropy to Fast Shannon Entropy Estimation for Samples of Digital Signals
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Marcin Cholewa; Bartłomiej Płaczek

    This paper introduces a new method of estimating Shannon entropy. The proposed method can be successfully used for large data samples and enables fast computations to rank the data samples according to their Shannon entropy. Original definitions of positional entropy and integer entropy are discussed in details to explain the theoretical concepts that underpin the proposed approach. Relations between

    更新日期:2020-10-19
  • Salient Object Detection Techniques in Computer Vision—A Survey
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Ashish Kumar Gupta; Ayan Seal; Mukesh Prasad; Pritee Khanna

    Detection and localization of regions of images that attract immediate human visual attention is currently an intensive area of research in computer vision. The capability of automatic identification and segmentation of such salient image regions has immediate consequences for applications in the field of computer vision, computer graphics, and multimedia. A large number of salient object detection

    更新日期:2020-10-19
  • Digital Quantum Simulation of Nonadiabatic Geometric Gates via Shortcuts to Adiabaticity
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Yapeng Wang; Yongcheng Ding; Jianan Wang; Xi Chen

    Geometric phases are used to construct quantum gates since it naturally resists local noises, acting as the modularized units of geometric quantum computing. Meanwhile, fast nonadiabatic geometric gates are required for reducing the information loss induced by decoherence. Here, we propose a digital simulation of nonadiabatic geometric quantum gates in terms of shortcuts to adiabaticity (STA). More

    更新日期:2020-10-19
  • Transfer Entropy Analysis of Interactions between Bats Using Position and Echolocation Data
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Irena Shaffer; Nicole Abaid

    Many animal species, including many species of bats, exhibit collective behavior where groups of individuals coordinate their motion. Bats are unique among these animals in that they use the active sensing mechanism of echolocation as their primary means of navigation. Due to their use of echolocation in large groups, bats run the risk of signal interference from sonar jamming. However, several species

    更新日期:2020-10-19
  • Entropy Based Fatigue, Fracture, Failure Prediction and Structural Health Monitoring
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Cemal Basaran

    Note: In lieu of an abstract, this is an excerpt from the first page. This special issue is dedicated to entropy-based fatigue, fracture, failure prediction and structural health monitoring [...]

    更新日期:2020-10-19
  • Innovativeness of Industrial Processing Enterprises and Conjunctural Movement
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Aleksander Jakimowicz; Daniel Rzeczkowski

    Singulation of components determining the innovative activity of enterprises is a complex issue as it depends on both microeconomic and macroeconomic factors. The purpose of this article is to present the results of research on the impact of the mutual interactions between ownership and the size of companies on the achievement of the objectives of innovative activity by Polish industrial processing

    更新日期:2020-10-19
  • Space Emerges from What We Know—Spatial Categorisations Induced by Information Constraints
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Nicola Catenacci Volpi; Daniel Polani

    Seeking goals carried out by agents with a level of competency requires an “understanding” of the structure of their world. While abstract formal descriptions of a world structure in terms of geometric axioms can be formulated in principle, it is not likely that this is the representation that is actually employed by biological organisms or that should be used by biologically plausible models. Instead

    更新日期:2020-10-19
  • Unifying Aspects of Generalized Calculus
    Entropy (IF 2.494) Pub Date : 2020-10-19
    Marek Czachor

    Non-Newtonian calculus naturally unifies various ideas that have occurred over the years in the field of generalized thermostatistics, or in the borderland between classical and quantum information theory. The formalism, being very general, is as simple as the calculus we know from undergraduate courses of mathematics. Its theoretical potential is huge, and yet it remains unknown or unappreciated.

    更新日期:2020-10-19
  • Emergence of Organisms
    Entropy (IF 2.494) Pub Date : 2020-10-16
    Andrea Roli; Stuart A. Kauffman

    Since early cybernetics studies by Wiener, Pask, and Ashby, the properties of living systems are subject to deep investigations. The goals of this endeavour are both understanding and building: abstract models and general principles are sought for describing organisms, their dynamics and their ability to produce adaptive behavior. This research has achieved prominent results in fields such as artificial

    更新日期:2020-10-17
  • Active Learning for Node Classification: An Evaluation
    Entropy (IF 2.494) Pub Date : 2020-10-16
    Kaushalya Madhawa; Tsuyoshi Murata

    Current breakthroughs in the field of machine learning are fueled by the deployment of deep neural network models. Deep neural networks models are notorious for their dependence on large amounts of labeled data for training them. Active learning is being used as a solution to train classification models with less labeled instances by selecting only the most informative instances for labeling. This

    更新日期:2020-10-17
  • Thermo-Economic Evaluation of Aqua-Ammonia Solar Absorption Air Conditioning System Integrated with Various Collector Types
    Entropy (IF 2.494) Pub Date : 2020-10-16
    Adil Al-Falahi; Falah Alobaid; Bernd Epple

    The main objective of this paper is to simulate solar absorption cooling systems that use ammonia mixture as a working fluid to produce cooling. In this study, we have considered different configurations based on the ammonia–water (NH3–H2O) cooling cycle depending on the solar thermal technology: Evacuated tube collectors (ETC) and parabolic trough (PTC) solar collectors. To compare the configurations

    更新日期:2020-10-17
  • Robustness of Internet of Battlefield Things (IoBT): A Directed Network Perspective
    Entropy (IF 2.494) Pub Date : 2020-10-16
    Yuan Feng; Menglin Li; Chengyi Zeng; Hongfu Liu

    Through the combination of various intelligent devices and the Internet to form a large-scale network, the Internet of Things (IoT) realizes real-time information exchange and communication between devices. IoT technology is expected to play an essential role in improving the combat effectiveness and situation awareness ability of armies. The interconnection between combat equipment and other battlefield

    更新日期:2020-10-17
  • Kinematics and Dynamics of Turbulent Bands at Low Reynolds Numbers in Channel Flow
    Entropy (IF 2.494) Pub Date : 2020-10-16
    Xiangkai Xiao; Baofang Song

    Channel flow turbulence exhibits interesting spatiotemporal complexities at transitional Reynolds numbers. In this paper, we investigated some aspects of the kinematics and dynamics of fully localized turbulent bands in large flow domains. We discussed the recent advancement in the understanding of the wave-generation at the downstream end of fully localized bands. Based on the discussion, we proposed

    更新日期:2020-10-17
  • Knowledge Graph Completion for the Chinese Text of Cultural Relics based on Bidirectional Encoder Representations from Transformers with Entity-Type Information
    Entropy (IF 2.494) Pub Date : 2020-10-16
    Min Zhang; Guohua Geng; Sheng Zeng; Huaping Jia

    Knowledge graph completion can make knowledge graphs more complete, which is a meaningful research topic. However, the existing methods do not make full use of entity semantic information. Another challenge is that a deep model requires large-scale manually labelled data, which greatly increases manual labour. In order to alleviate the scarcity of labelled data in the field of cultural relics and capture

    更新日期:2020-10-17
  • Spreading of Competing Information in a Network
    Entropy (IF 2.494) Pub Date : 2020-10-17
    Fabio Bagarello; Francesco Gargano; Francesco Oliveri

    We propose a simple approach to investigate the spreading of news in a network. In more detail, we consider two different versions of a single type of information, one of which is close to the essence of the information (and we call it good news), and another of which is somehow modified from some biased agent of the system (fake news, in our language). Good and fake news move around some agents, getting

    更新日期:2020-10-17
  • Segmentation of High Dimensional Time-Series Data Using Mixture of Sparse Principal Component Regression Model with Information Complexity
    Entropy (IF 2.494) Pub Date : 2020-10-17
    Yaojin Sun; Hamparsum Bozdogan

    This paper presents a new and novel hybrid modeling method for the segmentation of high dimensional time-series data using the mixture of the sparse principal components regression (MIX-SPCR) model with information complexity (ICOMP) criterion as the fitness function. Our approach encompasses dimension reduction in high dimensional time-series data and, at the same time, determines the number of component

    更新日期:2020-10-17
  • Spreading Control in Two-Layer Multiplex Networks
    Entropy (IF 2.494) Pub Date : 2020-10-15
    Roberto Bernal Jaquez; Luis Angel Alarcón Ramos; Alexander Schaum

    The problem of controlling a spreading process in a two-layer multiplex networks in such a way that the extinction state becomes a global attractor is addressed. The problem is formulated in terms of a Markov-chain based susceptible-infected-susceptible (SIS) dynamics in a complex multilayer network. The stabilization of the extinction state for the nonlinear discrete-time model by means of appropriate

    更新日期:2020-10-15
  • New Advances in High-Entropy Alloys
    Entropy (IF 2.494) Pub Date : 2020-10-15
    Yong Zhang; Ruixuan Li

    Note: In lieu of an abstract, this is an excerpt from the first page. Exploring new materials is an eternal pursuit in the development of human civilization [...]

    更新日期:2020-10-15
  • Long-Range Dependent Traffic Classification with Convolutional Neural Networks Based on Hurst Exponent Analysis
    Entropy (IF 2.494) Pub Date : 2020-10-15
    Katarzyna Filus; Adam Domański; Joanna Domańska; Dariusz Marek; Jakub Szyguła

    The paper examines the ability of neural networks to classify Internet traffic data in terms of self-similarity expressed by the Hurst exponent. Fractional Gaussian noise is used for the generation of synthetic data for modeling the genuine ones. It is presented that the trained model is capable of classifying the synthetic data obtained from the Pareto distribution and the real traffic data. We present

    更新日期:2020-10-15
  • Perturbed and Unperturbed: Analyzing the Conservatively Perturbed Equilibrium (Linear Case)
    Entropy (IF 2.494) Pub Date : 2020-10-15
    Yiming Xi; Xinquan Liu; Denis Constales; Gregory S. Yablonsky

    The “conservatively perturbed equilibrium” (CPE) technique for a complex chemical system is computationally analyzed in a batch reactor considering different linear mechanisms with three and four species. Contrary to traditional chemical relaxation procedures, in CPE experiments only some initial concentrations are modified; other conditions, including the total amount of chemical elements and temperature

    更新日期:2020-10-15
  • Deep-Learning-Based Power Generation Forecasting of Thermal Energy Conversion
    Entropy (IF 2.494) Pub Date : 2020-10-15
    Yu-Sin Lu; Kai-Yuan Lai

    ORC is a heat to power solution to convert low-grade thermal energy into electricity with relative low cost and adequate efficiency. The working of ORC relies on the liquid–vapor phase changes of certain organic fluid under different temperature and pressure. ORC is a well-established technology utilized in industry to recover industrial waste heat to electricity. However, the frequently varied temperature

    更新日期:2020-10-15
  • A Labeling Method for Financial Time Series Prediction Based on Trends
    Entropy (IF 2.494) Pub Date : 2020-10-15
    Dingming Wu; Xiaolong Wang; Jingyong Su; Buzhou Tang; Shaocong Wu

    Time series prediction has been widely applied to the finance industry in applications such as stock market price and commodity price forecasting. Machine learning methods have been widely used in financial time series prediction in recent years. How to label financial time series data to determine the prediction accuracy of machine learning models and subsequently determine final investment returns

    更新日期:2020-10-15
  • A Symbolic Encapsulation Point as Tool for 5G Wideband Channel Cross-Layer Modeling
    Entropy (IF 2.494) Pub Date : 2020-10-14
    Nenad Stefanovic; Marija Blagojevic; Ivan Pokrajac; Marian Greconici; Yigang Cen; Vladimir Mladenovic

    Considering that networks based on New Radio (NR) technology are oriented to provide services of desired quality (QoS), it becomes questionable how to model and predict targeted QoS values, especially if the physical channel is dynamically changing. In order to overcome mobility issues, we aim to support the evaluation of second-order statistics of signal, namely level-crossing rate (LCR) and average

    更新日期:2020-10-14
  • Multi-Party Quantum Byzantine Agreement without Entanglement
    Entropy (IF 2.494) Pub Date : 2020-10-14
    Xin Sun; Piotr Kulicki; Mirek Sopek

    In this paper, we propose a protocol of quantum communication to achieve Byzantine agreement among multiple parties. Our protocol’s striking feature compared to the existing protocols is that we do not use entanglement to achieve the agreement. The role played by entangled states in other protocols is replaced in our protocol by a group of semi-honest list distributors. Such a replacement makes the

    更新日期:2020-10-14
  • Radiative Transfer and Generalized Wind
    Entropy (IF 2.494) Pub Date : 2020-10-14
    Christopher Essex; Indrani Das

    Dissimilar flows can be compared by exploiting the fact that all flux densities divided by their conjugate volume densities form velocity fields, which have been described as generalized winds. These winds are an extension of the classical notion of wind in fluids which puts these distinct processes on a common footing, leading to thermodynamical implications. This paper extends this notion from fluids

    更新日期:2020-10-14
  • A Nuisance-Free Inference Procedure Accounting for the Unknown Missingness with Application to Electronic Health Records
    Entropy (IF 2.494) Pub Date : 2020-10-14
    Jiwei Zhao; Chi Chen

    We study how to conduct statistical inference in a regression model where the outcome variable is prone to missing values and the missingness mechanism is unknown. The model we consider might be a traditional setting or a modern high-dimensional setting where the sparsity assumption is usually imposed and the regularization technique is popularly used. Motivated by the fact that the missingness mechanism

    更新日期:2020-10-14
  • (Hyper)graph Kernels over Simplicial Complexes
    Entropy (IF 2.494) Pub Date : 2020-10-14
    Alessio Martino; Antonello Rizzi

    Graph kernels are one of the mainstream approaches when dealing with measuring similarity between graphs, especially for pattern recognition and machine learning tasks. In turn, graphs gained a lot of attention due to their modeling capabilities for several real-world phenomena ranging from bioinformatics to social network analysis. However, the attention has been recently moved towards hypergraphs

    更新日期:2020-10-14
  • Energy, Entropy, Constraints, and Creativity in Economic Growth and Crises
    Entropy (IF 2.494) Pub Date : 2020-10-14
    Reiner Kümmel; Dietmar Lindenberger

    The neoclassical mainstream theory of economic growth does not care about the First and the Second Law of Thermodynamics. It usually considers only capital and labor as the factors that produce the wealth of modern industrial economies. If energy is taken into account as a factor of production, its economic weight, that is its output elasticity, is assigned a meager magnitude of roughly 5 percent,

    更新日期:2020-10-14
  • A Simple Mechanism Causing Wealth Concentration
    Entropy (IF 2.494) Pub Date : 2020-10-13
    Michał Cieśla; Małgorzata Snarska

    We study mechanisms leading to wealth condensation. As a natural starting point, our model adopts a neoclassical point of view, i.e., we completely ignore work, production, and productive relations, and focus only on bilateral link between two randomly selected agents. We propose a simple matching process with deterministic trading rules and random selection of trading agents. Furthermore, we also

    更新日期:2020-10-13
  • Filtering Statistics on Networks
    Entropy (IF 2.494) Pub Date : 2020-10-13
    G. J. Baxter; R. A. da Costa; S. N. Dorogovtsev; J. F. F. Mendes

    Compression, filtering, and cryptography, as well as the sampling of complex systems, can be seen as processing information. A large initial configuration or input space is nontrivially mapped to a smaller set of output or final states. We explored the statistics of filtering of simple patterns on a number of deterministic and random graphs as a tractable example of such information processing in complex

    更新日期:2020-10-13
  • Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-II
    Entropy (IF 2.494) Pub Date : 2020-10-13
    Shuangshuang Shi; Yanlin Ge; Lingen Chen; Huijun Feng

    Variation trends of dimensionless power density (PD) with a compression ratio and thermal efficiency (TE) are discussed according to the irreversible Atkinson cycle (AC) model established in previous literature. Then, for the fixed cycle temperature ratio, the maximum specific volume ratios, the maximum pressure ratios, and the TEs corresponding to the maximum power output (PO) and the maximum PD are

    更新日期:2020-10-13
  • Energy Efficiency Optimization in Massive MIMO Secure Multicast Transmission
    Entropy (IF 2.494) Pub Date : 2020-10-12
    Bin Jiang; Linbo Qu; Yufei Huang; Yifei Zheng; Li You; Wenjin Wang

    Herein, we focus on energy efficiency optimization for massive multiple-input multiple-output (MIMO) downlink secure multicast transmission exploiting statistical channel state information (CSI). Privacy engineering in the field of communication is a hot issue under study. The common signal transmitted by the base station is multicast transmitted to multiple legitimate user terminals in our system

    更新日期:2020-10-12
  • On Entropy of Probability Integral Transformed Time Series
    Entropy (IF 2.494) Pub Date : 2020-10-12
    Dragana Bajić; Nataša Mišić; Tamara Škorić; Nina Japundžić-Žigon; Miloš Milovanović

    The goal of this paper is to investigate the changes of entropy estimates when the amplitude distribution of the time series is equalized using the probability integral transformation. The data we analyzed were with known properties—pseudo-random signals with known distributions, mutually coupled using statistical or deterministic methods that include generators of statistically dependent distributions

    更新日期:2020-10-12
  • On Higher Order Structures in Thermodynamics
    Entropy (IF 2.494) Pub Date : 2020-10-12
    Valentin Lychagin; Mikhail Roop

    We present the development of the approach to thermodynamics based on measurement. First of all, we recall that considering classical thermodynamics as a theory of measurement of extensive variables one gets the description of thermodynamic states as Legendrian or Lagrangian manifolds representing the average of measurable quantities and extremal measures. Secondly, the variance of random vectors induces

    更新日期:2020-10-12
  • Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals
    Entropy (IF 2.494) Pub Date : 2020-10-09
    Rajesh Kumar Tripathy; Samit Kumar Ghosh; Pranjali Gajbhiye; U. Rajendra Acharya

    The categorization of sleep stages helps to diagnose different sleep-related ailments. In this paper, an entropy-based information–theoretic approach is introduced for the automated categorization of sleep stages using multi-channel electroencephalogram (EEG) signals. This approach comprises of three stages. First, the decomposition of multi-channel EEG signals into sub-band signals or modes is performed

    更新日期:2020-10-11
  • Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets
    Entropy (IF 2.494) Pub Date : 2020-10-10
    Zhigao Guo; Anthony C. Constantinou

    Score-based algorithms that learn Bayesian Network (BN) structures provide solutions ranging from different levels of approximate learning to exact learning. Approximate solutions exist because exact learning is generally not applicable to networks of moderate or higher complexity. In general, approximate solutions tend to sacrifice accuracy for speed, where the aim is to minimise the loss in accuracy

    更新日期:2020-10-11
  • Partial Classifier Chains with Feature Selection by Exploiting Label Correlation in Multi-Label Classification
    Entropy (IF 2.494) Pub Date : 2020-10-10
    Zhenwu Wang; Tielin Wang; Benting Wan; Mengjie Han

    Multi-label classification (MLC) is a supervised learning problem where an object is naturally associated with multiple concepts because it can be described from various dimensions. How to exploit the resulting label correlations is the key issue in MLC problems. The classifier chain (CC) is a well-known MLC approach that can learn complex coupling relationships between labels. CC suffers from two

    更新日期:2020-10-11
  • The Topp-Leone Generalized Inverted Exponential Distribution with Real Data Applications
    Entropy (IF 2.494) Pub Date : 2020-10-11
    Zakeia A. Al-Saiary; Rana A. Bakoban

    In this article, a new three parameters lifetime model called the Topp-Leone Generalized Inverted Exponential (TLGIE) Distribution is introduced. Various properties of the model are derived, including moments, quantile function, survival function, hazard rate function, mean deviation and mode. The method of maximum likelihood is used to estimate the unknown parameters. The properties of the maximum

    更新日期:2020-10-11
  • Fractal and Entropy Analysis of the Dow Jones Index Using Multidimensional Scaling
    Entropy (IF 2.494) Pub Date : 2020-10-08
    José A. Tenreiro Machado

    Financial time series have a fractal nature that poses challenges for their dynamical characterization. The Dow Jones Industrial Average (DJIA) is one of the most influential financial indices, and due to its importance, it is adopted as a test bed for this study. The paper explores an alternative strategy to the standard time analysis, by joining the multidimensional scaling (MDS) computational tool

    更新日期:2020-10-08
  • Exploitation of Information as a Trading Characteristic: A Causality-Based Analysis of Simulated and Financial Data
    Entropy (IF 2.494) Pub Date : 2020-10-08
    Catherine Kyrtsou; Christina Mikropoulou; Angeliki Papana

    In financial markets, information constitutes a crucial factor contributing to the evolution of the system, while the presence of heterogeneous investors ensures its flow among financial products. When nonlinear trading strategies prevail, the diffusion mechanism reacts accordingly. Under these conditions, information englobes behavioral traces of traders’ decisions and represents their actions. The

    更新日期:2020-10-08
  • SteganoCNN: Image Steganography with Generalization Ability Based on Convolutional Neural Network
    Entropy (IF 2.494) Pub Date : 2020-10-08
    Xintao Duan; Nao Liu; Mengxiao Gou; Wenxin Wang; Chuan Qin

    Image-to-image steganography is hiding one image in another image. However, hiding two secret images into one carrier image is a challenge today. The application of image steganography based on deep learning in real-life is relatively rare. In this paper, a new Steganography Convolution Neural Network (SteganoCNN) model is proposed, which solves the problem of two images embedded in a carrier image

    更新日期:2020-10-08
  • Global Co-Occurrence Feature and Local Spatial Feature Learning for Skeleton-Based Action Recognition
    Entropy (IF 2.494) Pub Date : 2020-10-06
    Jun Xie; Wentian Xin; Ruyi Liu; Qiguang Miao; Lijie Sheng; Liang Zhang; Xuesong Gao

    Recent progress on skeleton-based action recognition has been substantial, benefiting mostly from the explosive development of Graph Convolutional Networks (GCN). However, prevailing GCN-based methods may not effectively capture the global co-occurrence features among joints and the local spatial structure features composed of adjacent bones. They also ignore the effect of channels unrelated to action

    更新日期:2020-10-07
  • Entropy Monotonicity and Superstable Cycles for the Quadratic Family Revisited
    Entropy (IF 2.494) Pub Date : 2020-10-07
    José M. Amigó; Ángel Giménez

    The main result of this paper is a proof using real analysis of the monotonicity of the topological entropy for the family of quadratic maps, sometimes called Milnor’s Monotonicity Conjecture. In contrast, the existing proofs rely in one way or another on complex analysis. Our proof is based on tools and algorithms previously developed by the authors and collaborators to compute the topological entropy

    更新日期:2020-10-07
  • Intrinsic and Extrinsic Thermodynamics for Stochastic Population Processes with Multi-Level Large-Deviation Structure
    Entropy (IF 2.494) Pub Date : 2020-10-07
    Eric Smith

    A set of core features is set forth as the essence of a thermodynamic description, which derive from large-deviation properties in systems with hierarchies of timescales, but which are not dependent upon conservation laws or microscopic reversibility in the substrate hosting the process. The most fundamental elements are the concept of a macrostate in relation to the large-deviation entropy, and the

    更新日期:2020-10-07
  • Non-Equilibrium Living Polymers
    Entropy (IF 2.494) Pub Date : 2020-10-06
    Davide Michieletto

    Systems of “living” polymers are ubiquitous in industry and are traditionally realised using surfactants. Here I first review the theoretical state-of-the-art of living polymers and then discuss non-equilibrium extensions that may be realised with advanced synthetic chemistry or DNA functionalised by proteins. These systems are not only interesting in order to realise novel “living” soft matter but

    更新日期:2020-10-06
  • Back-to-Back Performance of the Full Spectrum Nonlinear Fourier Transform and Its Inverse
    Entropy (IF 2.494) Pub Date : 2020-10-06
    Benedikt Leible; Daniel Plabst; Norbert Hanik

    In this paper, data-transmission using the nonlinear Fourier transform for jointly modulated discrete and continuous spectra is investigated. A recent method for purely discrete eigenvalue removal at the detector is extended to signals with additional continuous spectral support. At first, the eigenvalues are sequentially detected and removed from the jointly modulated received signal. After each successful

    更新日期:2020-10-06
  • Transforming Lindblad Equations Into Systems of Real-Valued Linear Equations: Performance Optimization and Parallelization of an Algorithm
    Entropy (IF 2.494) Pub Date : 2020-10-06
    Iosif Meyerov; Evgeny Kozinov; Alexey Liniov; Valentin Volokitin; Igor Yusipov; Mikhail Ivanchenko; Sergey Denisov

    With their constantly increasing peak performance and memory capacity, modern supercomputers offer new perspectives on numerical studies of open many-body quantum systems. These systems are often modeled by using Markovian quantum master equations describing the evolution of the system density operators. In this paper, we address master equations of the Lindblad form, which are a popular theoretical

    更新日期:2020-10-06
  • Solar Energy Transformation Strategies by Ecosystems of the Boreal Zone (Thermodynamic Analysis Based on Remote Sensing Data)
    Entropy (IF 2.494) Pub Date : 2020-10-06
    Robert Sandlersky; Alexander Krenke

    The hypothesis of an increase in free energy (exergy) by ecosystems during evolution is tested on direct measurements. As a measuring system of thermodynamic parameters (exergy, information, entropy), a series of measurements of reflected solar radiation in bands of Landsat multispectral imagery for 20 years is used. The thermodynamic parameters are compared for different types of ecosystems depending

    更新日期:2020-10-06
  • Deep Learning-Based Security Verification for a Random Number Generator Using White Chaos
    Entropy (IF 2.494) Pub Date : 2020-10-06
    Cai Li; Jianguo Zhang; Luxiao Sang; Lishuang Gong; Longsheng Wang; Anbang Wang; Yuncai Wang

    In this paper, a deep learning (DL)-based predictive analysis is proposed to analyze the security of a non-deterministic random number generator (NRNG) using white chaos. In particular, the temporal pattern attention (TPA)-based DL model is employed to learn and analyze the data from both stages of the NRNG: the output data of a chaotic external-cavity semiconductor laser (ECL) and the final output

    更新日期:2020-10-06
  • Low- and High-Drag Intermittencies in Turbulent Channel Flows
    Entropy (IF 2.494) Pub Date : 2020-10-04
    Rishav Agrawal; Henry C.-H. Ng; Ethan A. Davis; Jae Sung Park; Michael D. Graham; David J.C. Dennis; Robert J. Poole

    Recent direct numerical simulations (DNS) and experiments in turbulent channel flow have found intermittent low- and high-drag events in Newtonian fluid flows, at Reτ=uτh/ν between 70 and 100, where uτ, h and ν are the friction velocity, channel half-height and kinematic viscosity, respectively. These intervals of low-drag and high-drag have been termed “hibernating” and “hyperactive”, respectively

    更新日期:2020-10-05
  • Complexity and Disorder of 1/fα Noises
    Entropy (IF 2.494) Pub Date : 2020-10-04
    Chang Francis Hsu; Long Hsu; Sien Chi

    The complexity and the disorder of a 1/fα noise time series are quantified by entropy of entropy (EoE) and average entropy (AE), respectively. The resulting EoE vs. AE plot of a series of 1/fα noises of various values of α exhibits a distinct inverted U curve. For the 1/fα noises, we have shown that α decreases monotonically as AE increases, which indicates that α is also a measure of disorder. Furthermore

    更新日期:2020-10-05
  • Discrepancy between Constant Properties Model and Temperature-Dependent Material Properties for Performance Estimation of Thermoelectric Generators
    Entropy (IF 2.494) Pub Date : 2020-10-04
    Prasanna Ponnusamy; Johannes de Boor; Eckhard Müller

    The efficiency of a thermoelectric (TE) generator for the conversion of thermal energy into electrical energy can be easily but roughly estimated using a constant properties model (CPM) developed by Ioffe. However, material properties are, in general, temperature (T)-dependent and the CPM yields meaningful estimates only if physically appropriate averages, i.e., spatial averages for thermal and electrical

    更新日期:2020-10-05
  • Decision Tree Integration Using Dynamic Regions of Competence
    Entropy (IF 2.494) Pub Date : 2020-10-05
    Jędrzej Biedrzycki; Robert Burduk

    A vital aspect of the Multiple Classifier Systems construction process is the base model integration. For example, the Random Forest approach used the majority voting rule to fuse the base classifiers obtained by bagging the training dataset. In this paper we propose the algorithm that uses partitioning the feature space whose split is determined by the decision rules of each decision tree node which

    更新日期:2020-10-05
  • A Comparative Study of Two Fractional-Order Equivalent Electrical Circuits for Modeling the Electrical Impedance of Dental Tissues
    Entropy (IF 2.494) Pub Date : 2020-10-03
    Norbert Herencsar; Todd J. Freeborn; Aslihan Kartci; Oguzhan Cicekoglu

    Background:Electrical impedance spectroscopy (EIS) is a fast, non-invasive, and safe approach for electrical impedance measurement of biomedical tissues. Applied to dental research, EIS has been used to detect tooth cracks and caries with higher accuracy than visual or radiographic methods. Recent studies have reported age-related differences in human dental tissue impedance and utilized fractional-order

    更新日期:2020-10-04
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