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Entropy, Volume 21, Issue 3

March 2019 - 110 articles

Cover Story: In a world of ubiquitous digitalization, information storage and processing are of the utmost importance. Owing to the decreasing size of storage media, the speed and efficiency of information processing are becoming more and more crucial. In this paper, we investigate how the thermodynamics of information processing is affected by employing majority-logic decoding. More explicitly, the thermodynamic costs of information erasure in a macroscopic bit that consists of microscopic binary units and whose information is encoded via majority-logic decoding are compared to those incurred in a single bit. Our work suggests that majority-logic decoding can improve the precision-speed-efficiency trade-off in information erasure processes and, therefore, represents a promising avenue to enhance the performance of information processing. View this paper
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Articles (110)

  • Article
  • Open Access
11 Citations
4,161 Views
14 Pages

23 March 2019

We propose here a method to analyze whether financial and macroeconomic shocks influence the entropy of financial networks. We derive a measure of entropy using the correlation matrix of the stock market components of the DOW Jones Industrial Average...

  • Article
  • Open Access
10 Citations
4,236 Views
12 Pages

Intra- and Inter-Modular Connectivity Alterations in the Brain Structural Network of Spinocerebellar Ataxia Type 3

  • Chi-Wen Jao,
  • Bing-Wen Soong,
  • Tzu-Yun Wang,
  • Hsiu-Mei Wu,
  • Chia-Feng Lu,
  • Po-Shan Wang and
  • Yu-Te Wu

23 March 2019

In addition to cerebellar degeneration symptoms, patients with spinocerebellar ataxia type 3 (SCA3) exhibit extensive involvements with damage in the prefrontal cortex. A network model has been proposed for investigating the structural organization a...

  • Article
  • Open Access
51 Citations
11,220 Views
28 Pages

23 March 2019

In this paper, a new hybrid whale optimization algorithm (WOA) called WOA-DE is proposed to better balance the exploitation and exploration phases of optimization. Differential evolution (DE) is adopted as a local search strategy with the purpose of...

  • Article
  • Open Access
4,600 Views
17 Pages

A New Phylogenetic Inference Based on Genetic Attribute Reduction for Morphological Data

  • Jun Feng,
  • Zeyun Liu,
  • Hongwei Feng,
  • Richard F. E. Sutcliffe,
  • Jianni Liu and
  • Jian Han

22 March 2019

To address the instability of phylogenetic trees in morphological datasets caused by missing values, we present a phylogenetic inference method based on a concept decision tree (CDT) in conjunction with attribute reduction. First, a reliable initial...

  • Article
  • Open Access
12 Citations
4,662 Views
16 Pages

22 March 2019

A key factor for fall prevention involves understanding the pathophysiology of stability. This study proposes the postural stability index (PSI), which is a novel measure to quantify different stability states on healthy subjects. The results of the...

  • Article
  • Open Access
5 Citations
3,995 Views
18 Pages

22 March 2019

The principle of maximum entropy (POME) has been used for a variety of applications in hydrology, however it has not been used in confidence interval estimation. Therefore, the POME was employed for confidence interval estimation for precipitation qu...

  • Article
  • Open Access
89 Citations
5,641 Views
32 Pages

21 March 2019

In recent years the world has witnessed the arrival of deadly infectious diseases that have taken many lives across the globe. To fight back these diseases or control their spread, mankind relies on modeling and medicine to control, cure, and predict...

  • Article
  • Open Access
64 Citations
11,559 Views
20 Pages

Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest

  • Andoni Elola,
  • Elisabete Aramendi,
  • Unai Irusta,
  • Artzai Picón,
  • Erik Alonso,
  • Pamela Owens and
  • Ahamed Idris

21 March 2019

The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal available in every single d...

  • Article
  • Open Access
5 Citations
4,342 Views
14 Pages

Using Permutations for Hierarchical Clustering of Time Series

  • Jose S. Cánovas,
  • Antonio Guillamón and
  • María Carmen Ruiz-Abellón

21 March 2019

Two distances based on permutations are considered to measure the similarity of two time series according to their strength of dependency. The distance measures are used together with different linkages to get hierarchical clustering methods of time...

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Entropy - ISSN 1099-4300