Entropy  

Anna Wawrzynczak and Piotr Kopka

Realistic modeling of complex physical phenomena is always quite a challenging task. The main problem usually concerns the uncertainties surrounding model input parameters, especially when not all information about a modeled phenomenon is known. In such c... see more

Evgeny Gennadievich Bazulin

The use of linear methods, for example, the Combined Synthetic Aperture Focusing Technique (C–SAFT), does not allow one to obtain images with high resolution and low noise, especially structural noise in all cases. Non-linear methods should improve ... see more

Hongru Li and Huiping Guo

Bayesian network structure learning from data has been proved to be a NP-hard (Non-deterministic Polynomial-hard) problem. An effective method of improving the accuracy of Bayesian network structure is using experts’ knowledge instead of only using ... see more

William K. Wootters

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Shuo Wan, Jiaxun Lu, Pingyi Fan and Khaled B. Letaief

Multi-robot formation control makes prerequisites for a team of robots to execute complex tasks cooperatively, which has been widely applied in both civilian and military scenarios. However, the limited precision of sensors and controllers may inevitably ... see more

Tatsuaki Tsuruyama

A model of signal transduction from the perspective of informational thermodynamics has been reported in recent studies, and several important achievements have been obtained. The first achievement is that signal transduction can be modelled as a binary c... see more

Kazuki Maruta

This paper proposes dynamic clustering and user scheduling for previously conceived inter-cluster interference cancellation scheme on ultra-high density distributed antenna system (UHD-DAS). UHD-DAS is composed of one central unit (CU) and densely deploye... see more

Muhammad Idrees Afridi, Muhammad Qasim and Abid Hussanan

In this article, we investigated entropy generation and heat transfer analysis in a viscous flow induced by a horizontally moving Riga plate in the presence of strong suction. The viscosity and thermal conductivity of the fluid are taken to be temperature... see more

Konstantina Papadopoulou, Efthimios Skordas, Jacques Zlotnicki, Toshiyasu Nagao and Anatoly Rybin

By employing the cross-correlogram method, in geo-electric data from the area of Kyrgyzstan for the period 30 June 2014–10 June 2015, we identified Anomalous Telluric Currents (ATC). From a total of 32 ATC after taking into consideration the electri... see more

Quentin Jacquet, Eun-jin Kim and Rainer Hollerbach

We report the time-evolution of Probability Density Functions (PDFs) in a toy model of self-organised shear flows, where the formation of shear flows is induced by a finite memory time of a stochastic forcing, manifested by the emergence of a bimodal PDF ... see more

Mei Tao, Kristina Poskuviene, Nizar Faisal Alkayem, Maosen Cao and Minvydas Ragulskis

A novel visualization scheme for permutation entropy is presented in this paper. The proposed scheme is based on non-uniform attractor embedding of the investigated time series. A single digital image of permutation entropy is produced by averaging all po... see more

Fuhe Yang, Xingquan Shen and Zhijian Wang

Under complicated conditions, the extraction of a multi-fault in gearboxes is difficult to achieve. Due to improper selection of methods, leakage diagnosis or misdiagnosis will usually occur. Ensemble Empirical Mode Decomposition (EEMD) often causes energ... see more

Francisco Delgado

The gate array version of quantum computation uses logical gates adopting convenient forms for computational algorithms based on the algorithms classical computation. Two-level quantum systems are the basic elements connecting the binary nature of classic... see more

Akio Fujiwara and Koichi Yamagata

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Muhammad Adil Khan, Zaid Mohammad Al-sahwi and Yu-Ming Chu

The main purpose of this paper is to find new estimations for the Shannon and Zipf–Mandelbrot entropies. We apply some refinements of the Jensen inequality to obtain different bounds for these entropies. Initially, we use a precise convex function i... see more

Bahaaudin Mohammadnoor Raffah and Kamal Berrada

We develop a useful model considering an atom-field system interaction in the framework of pseudoharmonic oscillators. We examine qualitatively the different physical quantities for a two-level atom (TLA) system interacting with a quantized coherent field... see more

G. S. Paraoanu

The pigeonhole principle upholds the idea that by ascribing to three different particles either one of two properties, we necessarily end up in a situation when at least two of the particles have the same property. In quantum physics, this principle is vi... see more

Hector Zenil, Santiago Hernández-Orozco, Narsis A. Kiani, Fernando Soler-Toscano, Antonio Rueda-Toicen and Jesper Tegnér

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Wei He, Yigang He, Bing Li and Chaolong Zhang

In this paper, a novel method with cross-wavelet singular entropy (XWSE)-based feature extractor and support vector machine (SVM) is proposed for analog circuit fault diagnosis. Primarily, cross-wavelet transform (XWT), which possesses a good capability t... see more

Chao Tian

We illustrate how computer-aided methods can be used to investigate the fundamental limits of the caching systems, which are significantly different from the conventional analytical approach usually seen in the information theory literature. The linear pr... see more

Xiaolong Zhu, Jinde Zheng, Haiyang Pan, Jiahan Bao and Yifang Zhang

Multiscale entropy (MSE), as a complexity measurement method of time series, has been widely used to extract the fault information hidden in machinery vibration signals. However, the insufficient coarse graining in MSE will result in fault pattern informa... see more

Paul Darscheid, Anneli Guthke and Uwe Ehret

When constructing discrete (binned) distributions from samples of a data set, applications exist where it is desirable to assure that all bins of the sample distribution have nonzero probability. For example, if the sample distribution is part of a predic... see more

Lei Lei and Kun She

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Sarah Marzen

Causal states are minimal sufficient statistics of prediction of a stochastic process, their coding cost is called statistical complexity, and the implied causal structure yields a sense of the process’ “intrinsic computation”. We discus... see more

Huijuan Cui, Bellie Sivakumar and Vijay P. Singh

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Pouria Ahmadi and Behnaz Rezaie

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D. R. Michiel Renger

In a previous work we devised a framework to derive generalised gradient systems for an evolution equation from the large deviations of an underlying microscopic system, in the spirit of the Onsager–Machlup relations. Of particular interest is the c... see more

Niccolò Giannetti, Seiichi Yamaguchi, Andrea Rocchetti and Kiyoshi Saito

A new general thermodynamic mapping of desiccant systems’ performance is conducted to estimate the potentiality and determine the proper application field of the technology. This targets certain room conditions and given outdoor temperature and humi... see more

Liang Yan, Xiaojun Duan, Bowen Liu and Jin Xu

Bayesian optimization (BO) based on the Gaussian process (GP) surrogate model has attracted extensive attention in the field of optimization and design of experiments (DoE). It usually faces two problems: the unstable GP prediction due to the ill-conditio... see more

Frank Lad, Giuseppe Sanfilippo and Gianna Agrò

The refinement axiom for entropy has been provocative in providing foundations of information theory, recognised as thoughtworthy in the writings of both Shannon and Jaynes. A resolution to their concerns has been provided recently by the discovery that t... see more