EntropyPub Date : 2023-09-27DOI: 10.3390/e25101385
Harun Yaşar Köse, Serhat İkizoğlu
{"title":"Nonadditive Entropy Application to Detrended Force Sensor Data to Indicate Balance Disorder of Patients with Vestibular System Dysfunction.","authors":"Harun Yaşar Köse, Serhat İkizoğlu","doi":"10.3390/e25101385","DOIUrl":"10.3390/e25101385","url":null,"abstract":"<p><p>The healthy function of the vestibular system (VS) is of vital importance for individuals to carry out their daily activities independently and safely. This study carries out Tsallis entropy (TE)-based analysis on insole force sensor data in order to extract features to differentiate between healthy and VS-diseased individuals. Using a specifically developed algorithm, we detrend the acquired data to examine the fluctuation around the trend curve in order to consider the individual's walking habit and thus increase the accuracy in diagnosis. It is observed that the TE value increases for diseased people as an indicator of the problem of maintaining balance. As one of the main contributions of this study, in contrast to studies in the literature that focus on gait dynamics requiring extensive walking time, we directly process the instantaneous pressure values, enabling a significant reduction in the data acquisition period. The extracted feature set is then inputted into fundamental classification algorithms, with support vector machine (SVM) demonstrating the highest performance, achieving an average accuracy of 95%. This study constitutes a significant step in a larger project aiming to identify the specific VS disease together with its stage. The performance achieved in this study provides a strong motivation to further explore this topic.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606935/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-26DOI: 10.3390/e25101383
Xuefeng Peng, Rong Zhao, Kai Deng
{"title":"A Comprehensive Numerical Model for Reservoir-Induced Earthquake Risk Assessment.","authors":"Xuefeng Peng, Rong Zhao, Kai Deng","doi":"10.3390/e25101383","DOIUrl":"10.3390/e25101383","url":null,"abstract":"<p><p>The assessment of seismic risk and the prevention of earthquake occurrences during reservoir operation present significant challenges in terms of accurate determination. This study aims to address this issue by developing a numerical model. The primary objective is to estimate the vulnerability of different fault types to reservoir impoundment. This model integrates essential parameters such as fault dip and the relative orientation between the reservoir and potential earthquakes, and it is structured within a risk framework using polar coordinates. Through comprehensive computations, we evaluate the alterations in elastic stress and fluid pore pressure resulting from water impoundment. This is achieved by employing a fully coupled two-dimensional poroelastic approach. Furthermore, our model incorporates relevant seismic data to enhance its accuracy. The findings of our study underscore that the critical factor lies in the fault's precise positioning with respect to the reservoir. The risk associated with a fault is contingent upon both its location and its orientation, emphasizing the importance of these factors in determining hazardous zones.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-26DOI: 10.3390/e25101384
Rongwo Xu, Leiming Sun, Jianhua Ji, Ke Wang, Yufeng Song
{"title":"Information Leakage Rate of Optical Code Division Multiple Access Network Using Wiretap Code.","authors":"Rongwo Xu, Leiming Sun, Jianhua Ji, Ke Wang, Yufeng Song","doi":"10.3390/e25101384","DOIUrl":"10.3390/e25101384","url":null,"abstract":"<p><p>Secrecy capacity is usually employed as the performance metric of the physical layer security in fiber-optic wiretap channels. However, secrecy capacity can only qualitatively evaluate the physical layer security, and it cannot quantitatively evaluate the physical layer security of an imperfect security system. Furthermore, secrecy capacity cannot quantitatively evaluate the amount of information leakage to the eavesdropper. Based on the channel model of an optical CDMA network using wiretap code, the information leakage rate is analyzed to evaluate the physical layer security. The numerical results show that the information leakage rate can quantitatively evaluate the physical layer security of an optical CDMA wiretap channel, and it is related to transmission distance, eavesdropping position, confidential information rate and optical code.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-25DOI: 10.3390/e25101377
Gengxin Sun
{"title":"Robustness Analysis of an Urban Public Traffic Network Based on a Multi-Subnet Composite Complex Network Model.","authors":"Gengxin Sun","doi":"10.3390/e25101377","DOIUrl":"10.3390/e25101377","url":null,"abstract":"<p><p>An urban public traffic network is a typical high-order complex network. There are multiple types of transportation in an urban public traffic network, and each type has different impacts on urban transportation. Robustness analyses of urban public traffic networks contribute to the safe maintenance and operation of urban traffic systems. In this paper, a new cascading failure model for urban public traffic networks is constructed based on a multi-subnet composite complex network model. In order to better simulate the actual traffic flow in the composite network, the concept of traffic function is proposed in the model. Considering the different effects of various relationships on nodes in the composite network, the traditional cascading failure model has been improved and a deliberate attack strategy and a random attack strategy have been adopted to study the robustness of the composite network. In the experiment, the urban bus-subway composite network in Qingdao, China, was used as an example for simulation. The experimental results showed that under two attack strategies, the network robustness did not increase with the increase in capacity, and the proportion of multiple relationships had a significant impact on the network robustness.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606114/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-25DOI: 10.3390/e25101380
Pavel Kraikivski
{"title":"Mathematical Modeling in Systems Biology.","authors":"Pavel Kraikivski","doi":"10.3390/e25101380","DOIUrl":"10.3390/e25101380","url":null,"abstract":"<p><p>Mathematical modeling is a key tool used in the field of systems biology to determine the mechanisms with which the elements of biological systems interact to produce complex dynamic behavior [...].</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606628/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-25DOI: 10.3390/e25101379
Tarcísio N Teles, Calvin A F Farias, Renato Pakter, Yan Levin
{"title":"A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems.","authors":"Tarcísio N Teles, Calvin A F Farias, Renato Pakter, Yan Levin","doi":"10.3390/e25101379","DOIUrl":"10.3390/e25101379","url":null,"abstract":"<p><p>We present a Monte Carlo approach that allows us to easily implement Lynden-Bell (LB) entropy maximization for an arbitrary initial particle distribution. The direct maximization of LB entropy for an arbitrary initial distribution requires an infinite number of Lagrange multipliers to account for the Casimir invariants. This has restricted studies of Lynden-Bell's violent relaxation theory to only a very small class of initial conditions of a very simple waterbag form, for which the entropy maximization can be performed numerically. In the present approach, an arbitrary initial distribution is discretized into density levels which are then evolved using an efficient Monte Carlo algorithm towards the final equilibrium state. A comparison is also made between the LB equilibrium and explicit Molecular Dynamics simulations. We find that for most initial distributions, relaxation is incomplete and the system is not able to reach the state of maximum LB entropy. In particular, we see that the tail of the stationary particle distribution is very different from the one predicted by the theory of violent relaxation, with a hard cutoff instead of an algebraic decay predicted by LB's theory.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606548/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-25DOI: 10.3390/e25101382
Rajiv Ranjan, Prabhat Kumar
{"title":"An Improved Image Compression Algorithm Using 2D DWT and PCA with Canonical Huffman Encoding.","authors":"Rajiv Ranjan, Prabhat Kumar","doi":"10.3390/e25101382","DOIUrl":"10.3390/e25101382","url":null,"abstract":"<p><p>Of late, image compression has become crucial due to the rising need for faster encoding and decoding. To achieve this objective, the present study proposes the use of canonical Huffman coding (CHC) as an entropy coder, which entails a lower decoding time compared to binary Huffman codes. For image compression, discrete wavelet transform (DWT) and CHC with principal component analysis (PCA) were combined. The lossy method was introduced by using PCA, followed by DWT and CHC to enhance compression efficiency. By using DWT and CHC instead of PCA alone, the reconstructed images have a better peak signal-to-noise ratio (PSNR). In this study, we also developed a hybrid compression model combining the advantages of DWT, CHC and PCA. With the increasing use of image data, better image compression techniques are necessary for the efficient use of storage space. The proposed technique achieved up to 60% compression while maintaining high visual quality. This method also outperformed the currently available techniques in terms of both PSNR (in dB) and bit-per-pixel (bpp) scores. This approach was tested on various color images, including Peppers 512 × 512 × 3 and Couple 256 × 256 × 3, showing improvements by 17 dB and 22 dB, respectively, while reducing the bpp by 0.56 and 0.10, respectively. For grayscale images as well, i.e., Lena 512 × 512 and Boat 256 × 256, the proposed method showed improvements by 5 dB and 8 dB, respectively, with a decrease of 0.02 bpp in both cases.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-25DOI: 10.3390/e25101378
Adrian-Paul Botezatu, Lavinia-Eugenia Ferariu, Adrian Burlacu
{"title":"Enhancing Visual Feedback Control through Early Fusion Deep Learning.","authors":"Adrian-Paul Botezatu, Lavinia-Eugenia Ferariu, Adrian Burlacu","doi":"10.3390/e25101378","DOIUrl":"10.3390/e25101378","url":null,"abstract":"<p><p>A visual servoing system is a type of control system used in robotics that employs visual feedback to guide the movement of a robot or a camera to achieve a desired task. This problem is addressed using deep models that receive a visual representation of the current and desired scene, to compute the control input. The focus is on early fusion, which consists of using additional information integrated into the neural input array. In this context, we discuss how ready-to-use information can be directly obtained from the current and desired scenes, to facilitate the learning process. Inspired by some of the most effective traditional visual servoing techniques, we introduce early fusion based on image moments and provide an extensive analysis of approaches based on image moments, region-based segmentation, and feature points. These techniques are applied stand-alone or in combination, to allow obtaining maps with different levels of detail. The role of the extra maps is experimentally investigated for scenes with different layouts. The results show that early fusion facilitates a more accurate approximation of the linear and angular camera velocities, in order to control the movement of a 6-degree-of-freedom robot from a current configuration to a desired one. The best results were obtained for the extra maps providing details of low and medium levels.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606400/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-25DOI: 10.3390/e25101381
Keyu Li, Tao Jiang, Yang Li, Xuemin Wang, Zhiqiang Zhan, Fengwei Chen, Zhengfu Han, Weidong Wu
{"title":"Target Acquisition for Collimation System of Wireless Quantum Communication Networks in Low Visibility.","authors":"Keyu Li, Tao Jiang, Yang Li, Xuemin Wang, Zhiqiang Zhan, Fengwei Chen, Zhengfu Han, Weidong Wu","doi":"10.3390/e25101381","DOIUrl":"10.3390/e25101381","url":null,"abstract":"<p><p>In severe low-visibility environments full of smoke, because of the performance degeneration of the near-infrared (NIR) collimation system of quantum drones communication networks, the improved dual-threshold method based on trend line analysis for long-wave infrared (LWIR) quantum cascade lasers (QCLs) is proposed, to achieve target acquisition. The simulation results show that smoke-scattering noise is a steeply varying medium-high-frequency modulation. At particle sizes less than 4 μm, the traditional dual-threshold method can effectively distinguish the target information from the smoke noise, which is the advantage of the LWIR laser compared to the NIR laser. For detecting lasers with high signal-to-noise ratios (SNRs), the method can achieve good target acquisition, by setting reasonable conventional thresholds, such as 0.7 times the peak intensity and 0.8 times the peak rising velocity. At low SNRs and steep intensity variation, the method can also achieve good target acquisition, by adaptively resetting new thresholds after filtering the detecting laser, such as 0.6 times the peak intensity and 0.6 times the peak rising velocity. The results of this paper will provide a reference for the performance improvement and refinement of the collimation system for wireless quantum communication networks in low visibility.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606033/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EntropyPub Date : 2023-09-24DOI: 10.3390/e25101374
Aditya Gupta, Shiva Maharaj, Nicholas Polson, Vadim Sokolov
{"title":"On the Value of Chess Squares.","authors":"Aditya Gupta, Shiva Maharaj, Nicholas Polson, Vadim Sokolov","doi":"10.3390/e25101374","DOIUrl":"10.3390/e25101374","url":null,"abstract":"<p><p>We propose a neural network-based approach to calculate the value of a chess square-piece combination. Our model takes a triplet (color, piece, square) as the input and calculates a value that measures the advantage/disadvantage of having this piece on this square. Our methods build on recent advances in chess AI, and can accurately assess the worth of positions in a game of chess. The conventional approach assigns fixed values to pieces (= <i>∞</i>, = 9, = 5, = 3, = 3, = 1). We enhance this analysis by introducing marginal valuations. We use deep Q-learning to estimate the parameters of our model. We demonstrate our method by examining the positioning of knights and bishops, and also provide valuable insights into the valuation of pawns. Finally, we conclude by suggesting potential avenues for future research.</p>","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606789/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"61561645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}