Entropy最新文献 - Book学术

Response Analysis of the Three-Degree-of-Freedom Vibroimpact System with an Uncertain Parameter. 参数不确定的三自由度振动冲击系统的响应分析。

IF 2.1 3区物理与天体物理

Entropy Pub Date : 2023-09-21 DOI: 10.3390/e25091365

Guidong Yang, Zichen Deng, Lin Du, Zicheng Lin

{"title":"Response Analysis of the Three-Degree-of-Freedom Vibroimpact System with an Uncertain Parameter.","authors":"Guidong Yang, Zichen Deng, Lin Du, Zicheng Lin","doi":"10.3390/e25091365","DOIUrl":"10.3390/e25091365","url":null,"abstract":"The inherent non-smoothness of the vibroimpact system leads to complex behaviors and a strong sensitivity to parameter changes. Unfortunately, uncertainties and errors in system parameters are inevitable in mechanical engineering. Therefore, investigations of dynamical behaviors for vibroimpact systems with stochastic parameters are highly essential. The present study aims to analyze the dynamical characteristics of the three-degree-of-freedom vibroimpact system with an uncertain parameter by means of the Chebyshev polynomial approximation method. Specifically, the vibroimpact system model considered is one with unilateral constraint. Firstly, the three-degree-of-freedom vibroimpact system with an uncertain parameter is transformed into an equivalent deterministic form using the Chebyshev orthogonal approximation. Then, the ensemble means responses of the stochastic vibroimpact system are derived. Numerical simulations are performed to verify the effectiveness of the approximation method. Furthermore, the periodic and chaos motions under different system parameters are investigated, and the bifurcations of the vibroimpact system are analyzed with the Poincaré map. The results demonstrate that both the restitution coefficient and the random factor can induce the appearance of the periodic bifurcation. It is worth noting that the bifurcations fundamentally differ between the stochastic and deterministic systems. The former has a bifurcation interval, while the latter occurs at a critical point.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 9","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528467/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41126444","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}

引用次数: 0

Effects of Nonextensive Electrons on Dust-Ion Acoustic Waves in a Collisional Dusty Plasma with Negative Ions. 负离子碰撞尘埃等离子体中非扩展电子对尘埃离子声波的影响。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-21 DOI: 10.3390/e25091363

Zhipeng Liu

引用次数: 0

Entropy-Based Multifractal Testing of Heart Rate Variability during Cognitive-Autonomic Interplay. 认知自主交互过程中心率变异性的基于熵的多重分形检验。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-21 DOI: 10.3390/e25091364

Laurent M Arsac

{"title":"Entropy-Based Multifractal Testing of Heart Rate Variability during Cognitive-Autonomic Interplay.","authors":"Laurent M Arsac","doi":"10.3390/e25091364","DOIUrl":"https://doi.org/10.3390/e25091364","url":null,"abstract":"Entropy-based and fractal-based metrics derived from heart rate variability (HRV) have enriched the way cardiovascular dynamics can be described in terms of complexity. The most commonly used multifractal testing, a method using q moments to explore a range of fractal scaling in small-sized and large-sized fluctuations, is based on detrended fluctuation analysis, which examines the power-law relationship of standard deviation with the timescale in the measured signal. A more direct testing of a multifractal structure exists based on the Shannon entropy of bin (signal subparts) proportion. This work aims to reanalyze HRV during cognitive tasks to obtain new markers of HRV complexity provided by entropy-based multifractal spectra using the method proposed by Chhabra and Jensen in 1989. Inter-beat interval durations (RR) time series were obtained in 28 students comparatively in baseline (viewing a video) and during three cognitive tasks: Stroop color and word task, stop-signal, and go/no-go. The new HRV estimators were extracted from the f/α singularity spectrum of the RR magnitude increment series, established from q-weighted stable (log-log linear) power laws, namely: (i) the whole spectrum width (MF) calculated as αmax - αmin; the specific width representing large-sized fluctuations (MFlarge) calculated as α0 - αq+; and small-sized fluctuations (MFsmall) calculated as αq- - α0. As the main results, cardiovascular dynamics during Stroop had a specific MF signature while MFlarge was rather specific to go/no-go. The way these new HRV markers could represent different aspects of a complete picture of the cognitive-autonomic interplay is discussed, based on previously used entropy- and fractal-based markers, and the introduction of distribution entropy (DistEn), as a marker recently associated specifically with complexity in the cardiovascular control.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 9","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41118683","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}

引用次数: 0

Quantum Mechanics Is Compatible with Counterfactual Definiteness. 量子力学与反事实确定性是相容的。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-20 DOI: 10.3390/e25091356

Janne V Kujala, Ehtibar N Dzhafarov

{"title":"Quantum Mechanics Is Compatible with Counterfactual Definiteness.","authors":"Janne V Kujala, Ehtibar N Dzhafarov","doi":"10.3390/e25091356","DOIUrl":"https://doi.org/10.3390/e25091356","url":null,"abstract":"Counterfactual definiteness (CFD) means that if some property is measured in some context, then the outcome of the measurement would have been the same had this property been measured in a different context. A context includes all other measurements made together with the one in question, and the spatiotemporal relations among them. The proviso for CFD is non-disturbance: any physical influence of the contexts on the property being measured is excluded by the laws of nature, so that no one measuring this property has a way of ascertaining its context. It is usually claimed that in quantum mechanics CFD does not hold, because if one assigns the same value to a property in all contexts it is measured in, one runs into a logical contradiction, or at least contravenes quantum theory and experimental evidence. We show that this claim is not substantiated if one takes into account that only one of the possible contexts can be a factual context, all other contexts being counterfactual. With this in mind, any system of random variables can be viewed as satisfying CFD. The concept of CFD is closely related to but distinct from that of noncontextuality, and it is the latter property that may or may not hold for a system, in particular being contravened by some quantum systems.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 9","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528203/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41095208","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}

引用次数: 0

A New Truncated Lindley-Generated Family of Distributions: Properties, Regression Analysis, and Applications. 一个新的截断Lindley生成分布族：性质、回归分析和应用。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-20 DOI: 10.3390/e25091359

Mohamed Hussein, Gabriela M Rodrigues, Edwin M M Ortega, Roberto Vila, Howaida Elsayed

引用次数: 0

Nonlinear Fokker-Planck Equations, H-Theorem and Generalized Entropy of a Composed System. 非线性福克-普朗克方程、H-定理和组合系统的广义熵。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-20 DOI: 10.3390/e25091357

Luiz R Evangelista, Ervin K Lenzi

引用次数: 1

Quantum and Quantum-Inspired Stereographic K Nearest-Neighbour Clustering. 量子和量子启发的立体K近邻聚类。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-20 DOI: 10.3390/e25091361

Alonso Viladomat Jasso, Ark Modi, Roberto Ferrara, Christian Deppe, Janis Nötzel, Fred Fung, Maximilian Schädler

{"title":"Quantum and Quantum-Inspired Stereographic K Nearest-Neighbour Clustering.","authors":"Alonso Viladomat Jasso, Ark Modi, Roberto Ferrara, Christian Deppe, Janis Nötzel, Fred Fung, Maximilian Schädler","doi":"10.3390/e25091361","DOIUrl":"https://doi.org/10.3390/e25091361","url":null,"abstract":"Nearest-neighbour clustering is a simple yet powerful machine learning algorithm that finds natural application in the decoding of signals in classical optical-fibre communication systems. Quantum k-means clustering promises a speed-up over the classical k-means algorithm; however, it has been shown to not currently provide this speed-up for decoding optical-fibre signals due to the embedding of classical data, which introduces inaccuracies and slowdowns. Although still not achieving an exponential speed-up for NISQ implementations, this work proposes the generalised inverse stereographic projection as an improved embedding into the Bloch sphere for quantum distance estimation in k-nearest-neighbour clustering, which allows us to get closer to the classical performance. We also use the generalised inverse stereographic projection to develop an analogous classical clustering algorithm and benchmark its accuracy, runtime and convergence for decoding real-world experimental optical-fibre communication data. This proposed 'quantum-inspired' algorithm provides an improvement in both the accuracy and convergence rate with respect to the k-means algorithm. Hence, this work presents two main contributions. Firstly, we propose the general inverse stereographic projection into the Bloch sphere as a better embedding for quantum machine learning algorithms; here, we use the problem of clustering quadrature amplitude modulated optical-fibre signals as an example. Secondly, as a purely classical contribution inspired by the first contribution, we propose and benchmark the use of the general inverse stereographic projection and spherical centroid for clustering optical-fibre signals, showing that optimizing the radius yields a consistent improvement in accuracy and convergence rate.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 9","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41115114","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}

引用次数: 2

A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks. 一种用于车载网络正交时频空间的新型联合信道估计和符号检测接收机。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-20 DOI: 10.3390/e25091358

Xiaoqi Zhang, Haifeng Wen, Ziyu Yan, Weijie Yuan, Jun Wu, Zhongjie Li

{"title":"A Novel Joint Channel Estimation and Symbol Detection Receiver for Orthogonal Time Frequency Space in Vehicular Networks.","authors":"Xiaoqi Zhang, Haifeng Wen, Ziyu Yan, Weijie Yuan, Jun Wu, Zhongjie Li","doi":"10.3390/e25091358","DOIUrl":"https://doi.org/10.3390/e25091358","url":null,"abstract":"A vehicular network embodies a specialized variant of wireless network systems, characterized by its capability to facilitate inter-vehicular communication and connectivity with the encompassing infrastructure. With the rapid development of wireless communication technology, high-speed and reliable communication has become increasingly important in vehicular networks. It has been demonstrated that orthogonal time frequency space (OTFS) modulation proves effective in addressing the challenges posed by high-mobility environments, as it transforms the time-varying channels into the delay-Doppler domain. Motivated by this, in this paper, we focus on the theme of integrated sensing and communication (ISAC)-assisted OTFS receiver design, which aims to perform sensing channel estimation and communication symbol detection. Specifically, the estimation of the sensing channel is accomplished through the utilization of a deep residual denoising network (DRDN), while the communication symbol detection is performed by orthogonal approximate message passing (OAMP) processing. The numerical results demonstrate that the proposed ISAC system exhibits superior performance and robustness compared to traditional methods, with a lower complexity as well. The proposed system has great potential for future applications in wireless communication systems, especially in challenging scenarios with high mobility and interference.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 9","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529892/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41119666","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}

引用次数: 0

A Quantum Model of Trust Calibration in Human-AI Interactions. 人工智能交互中信任校准的量子模型。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-20 DOI: 10.3390/e25091362

Luisa Roeder, Pamela Hoyte, Johan van der Meer, Lauren Fell, Patrick Johnston, Graham Kerr, Peter Bruza

{"title":"A Quantum Model of Trust Calibration in Human-AI Interactions.","authors":"Luisa Roeder, Pamela Hoyte, Johan van der Meer, Lauren Fell, Patrick Johnston, Graham Kerr, Peter Bruza","doi":"10.3390/e25091362","DOIUrl":"10.3390/e25091362","url":null,"abstract":"This exploratory study investigates a human agent's evolving judgements of reliability when interacting with an AI system. Two aims drove this investigation: (1) compare the predictive performance of quantum vs. Markov random walk models regarding human reliability judgements of an AI system and (2) identify a neural correlate of the perturbation of a human agent's judgement of the AI's reliability. As AI becomes more prevalent, it is important to understand how humans trust these technologies and how trust evolves when interacting with them. A mixed-methods experiment was developed for exploring reliability calibration in human-AI interactions. The behavioural data collected were used as a baseline to assess the predictive performance of the quantum and Markov models. We found the quantum model to better predict the evolving reliability ratings than the Markov model. This may be due to the quantum model being more amenable to represent the sometimes pronounced within-subject variability of reliability ratings. Additionally, a clear event-related potential response was found in the electroencephalographic (EEG) data, which is attributed to the expectations of reliability being perturbed. The identification of a trust-related EEG-based measure opens the door to explore how it could be used to adapt the parameters of the quantum model in real time.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 9","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528121/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41108742","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}

引用次数: 0

Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations. 用于提高推荐质量的基于社区的矩阵分解（CBMF）方法。

IF 2.7 3区物理与天体物理

Entropy Pub Date : 2023-09-20 DOI: 10.3390/e25091360

Srilatha Tokala, Murali Krishna Enduri, T Jaya Lakshmi, Hemlata Sharma

{"title":"Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations.","authors":"Srilatha Tokala, Murali Krishna Enduri, T Jaya Lakshmi, Hemlata Sharma","doi":"10.3390/e25091360","DOIUrl":"https://doi.org/10.3390/e25091360","url":null,"abstract":"Matrix factorization is a long-established method employed for analyzing and extracting valuable insight recommendations from complex networks containing user ratings. The execution time and computational resources demanded by these algorithms pose limitations when confronted with large datasets. Community detection algorithms play a crucial role in identifying groups and communities within intricate networks. To overcome the challenge of extensive computing resources with matrix factorization techniques, we present a novel framework that utilizes the inherent community information of the rating network. Our proposed approach, named Community-Based Matrix Factorization (CBMF), has the following steps: (1) Model the rating network as a complex bipartite network. (2) Divide the network into communities. (3) Extract the rating matrices pertaining only to those communities and apply MF on these matrices in parallel. (4) Merge the predicted rating matrices belonging to communities and evaluate the root mean square error (RMSE). In our experimentation, we use basic MF, SVD++, and FANMF for matrix factorization, and the Louvain algorithm is used for community division. The experimental evaluation on six datasets shows that the proposed CBMF enhances the quality of recommendations in each case. In the MovieLens 100K dataset, RMSE has been reduced to 0.21 from 1.26 using SVD++ by dividing the network into 25 communities. A similar reduction in RMSE is observed for the datasets of FilmTrust, Jester, Wikilens, Good Books, and Cell Phone.","PeriodicalId":11694,"journal":{"name":"Entropy","volume":"25 9","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528144/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41118466","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}

引用次数: 0