Article
Physics, Multidisciplinary
Xin Sun, Feifei He, Mirek Sopek, Meiyun Guo
Summary: This study explores the application of Arrow's Impossibility Theorem in a quantum setting, and introduces a refined definition of Quantum Independence of Irrelevant Alternatives (QIIA) to prove the violation of the theorem. The researchers were unsatisfied with the existing proof and definition presented in prior work, leading them to develop a more appropriate definition and provide a detailed proof of the theorem's inapplicability in the quantum setting.
Article
Physics, Fluids & Plasmas
Domingos S. P. Salazar
Summary: Fluctuation theorems set fundamental limits on the statistics of entropy production, with the information quantification and upper bound determined by the maximal distribution. This bound is verified in various scenarios, including heat transfer and qubit swap engines, showcasing the versatility of the theory.
Article
Physics, Multidisciplinary
V. M. Ilic, J. Korbel, S. Gupta, A. M. Scarfone
Summary: This focus article aims to present a comprehensive classification of main entropic forms introduced in the last fifty years in the fields of statistical physics and information theory. Three families of entropic forms are discussed, each characterized by different deformation parameters introduced by various researchers. Important concepts such as axiomatic foundations and composability rules for statistically independent systems are systematically applied to characterize many of these entropic forms. Other critical aspects related to information measures' stability and consistency with axioms are briefly discussed in a general context.
Article
Computer Science, Artificial Intelligence
Ting-Ting Xu, Hui Zhang, Bo-Quan Li
Summary: In this study, the concept of probabilistic hesitant fuzzy sets and its improved methods for measuring uncertainty are proposed. A new ranking and decision-making method based on the established entropies are introduced. The practicability and effectiveness of the proposed methods are illustrated through an example and comparative analyses.
Article
Multidisciplinary Sciences
Robersy Sanchez, Sally A. A. Mackenzie
Summary: DNA methylation is an important epigenetic mechanism involved in various biological processes. A theoretical framework based on thermodynamic principles has been proposed to understand and decode the DNA methylation process. The analysis of entropy fluctuations on experimental datasets reveals restrictions on genome-wide methylation changes, with exceptions found in certain mutant and cancer cells.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Industrial
Zhilin Sun, Kaifeng Wang, Peihua Gu
Summary: Adaptable design is a popular approach to create new designs by enhancing the adaptability of existing designs. This paper proposes an integrated method combining soft sets and entropy theories to evaluate adaptability when design information is lacking. The design adaptabilities of cylindrical gear machine tools were tested, and a modified design with improved adaptability was achieved.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Physics, Fluids & Plasmas
Neha S. Wadia, Ryan V. Zarcone, Michael R. DeWeese
Summary: Considerable progress has been made in geometrical approaches to understand and control small out-of-equilibrium systems. However, these methods lack a mathematically rigorous foundation. In this study, a perturbative solution to the Fokker-Planck equation for one-dimensional driven Brownian motion in the overdamped limit is developed using the spectral properties of the corresponding single-particle Schrodinger operator. The perturbation theory provides an exact formula for a Riemannian thermodynamic metric in the space of control parameters, and the optimal dissipation-minimizing driving protocols can be obtained by minimizing the length defined by this metric. The Riemannian geometric structure of the optimal control problem is emergent and persists to all orders of the perturbation expansion.
Article
Computer Science, Information Systems
Elaheh Pourabbas, Chiara Parretti, Fernando Rolli, Fabrizio Pecoraro
Summary: This paper discusses the common issue of neglecting nonfunctional requirements in information systems design and proposes a method based on a multi-criteria decision problem to address this issue. This approach formalizes the inclusion of nonfunctional requirements in the design process by setting them as evaluation attributes to achieve robust design solutions. Through a case study, the application of this method in the design process is demonstrated.
Article
Optics
Sizhe Xing, Fangchen Hu, Guoqiang Li, Junwen Zhang, Nan Chi, Zhixue He, Shaohua Yu
Summary: This paper proposes a distance-based rate-adaptive visible light communication system based on constellation probabilistic shaping, which is suitable for a multiple-user access network. By optimizing the transmission data rate close to the channel capacity using PS and code-rate adaptive FEC, the system ensures fine granularity of information rate per user with wider flexibility. The use of different PS-QAM modulation formats and FEC code-rates, along with a neural network for post-equalization to overcome nonlinear distortion, results in a maximum 28% overall capacity improvement compared with regular non-PS modulations.
Article
Mathematics, Interdisciplinary Applications
Manotosh Kumbhakar, Christina W. Tsai
Summary: This study develops a velocity distribution model for open channel flow using the concept of information entropy. The Tsallis relative entropy theory is applied to construct models with different entropy indices. The velocity equations are derived analytically using the homotopy analysis method and approximation techniques. The accuracy of the proposed models is verified through laboratory and field data sets. The results show that the model with a varying entropy index outperforms other models, indicating the variable nature of the entropy index in Tsallis relative entropy.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Computer Science, Artificial Intelligence
Jingjing Xie, Bao Qing Hu, Haibo Jiang
Summary: This paper investigates the important application of attribute reduction and proposes a rough set model that considers the weight information of attributes. The experimental results demonstrate the effectiveness of the proposed attribute reduction algorithm on multiple public datasets.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
(2022)
Article
Physics, Multidisciplinary
Jacob A. Barandes, David Kagan
Summary: We introduce a new form of quantum conditional probability to establish new measures of quantum information in a dynamic setting. We investigate the interconnections between our novel measures and conventional measures like von Neumann entropy. These measures serve as a basis for new proofs of established results in quantum information theory.
Proceedings Paper
Computer Science, Theory & Methods
Sergio Rajsbaum, Armajac Raventos-Pujol
Summary: This article discusses Baryshnikov's algebraic topology proof and a novel combinatorial topology approach to understand Arrow's impossibility theorem. The study reveals the close connection between Arrow's impossibility and the index lemma, and provides a simple proof for the case of n = 2 and |x| = 3 implying Arrow's impossibility for any |x| >= 3 and any finite n >= 2.
PROCEEDINGS OF THE 2022 ACM SYMPOSIUM ON PRINCIPLES OF DISTRIBUTED COMPUTING, PODC 2022
(2022)
Article
Engineering, Industrial
Daoqing Zhou, Jingjing He, Yi Mu Du, C. P. Sun, Xuefei Guan
Summary: This study introduces a general framework for probabilistic information fusion based on the principle of maximum relative entropy, incorporating point, moment, and interval data. It emphasizes the concept of relative information entropy and provides a novel perspective on probabilistic information fusion.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Civil
Yuhua Yan, Xiaojun Wang, Yunlong Li
Summary: A non-probabilistic credible set model is proposed for uncertainty quantification of structural parameters in this paper. This method surpasses probabilistic and traditional non-probabilistic methods by providing both the distribution range and credibility of uncertain parameters, resulting in reduced computation time and improved credibility. The average inverse-distance information entropy, expanded uncertainty, and credibility are introduced to establish a one-dimensional non-probabilistic credible set uncertainty quantification procedure. The theory of non-probabilistic sets and correlation analysis of multidimensional uncertain parameters are used to develop a multidimensional non-probabilistic credible set uncertainty quantification method. The feasibility of applying this method to various engineering problems is verified through case studies.
Article
Physics, Multidisciplinary
Xiankun Sun, He Liu, Wanqing Song, Francesco Villecco
Article
Physics, Multidisciplinary
Aurelio Liguori, Enrico Armentani, Alcide Bertocco, Andrea Formato, Arcangelo Pellegrino, Francesco Villecco
Article
Physics, Multidisciplinary
Luca Salvati, Matteo d'Amore, Anita Fiorentino, Arcangelo Pellegrino, Pasquale Sena, Francesco Villecco
Summary: This research utilized a fatigue-related sleepiness detection algorithm based on pulse rate variability to monitor long-term changes in driver's condition in real-time, validated through comparison with PERCLOS. The study demonstrated the potential of continuously monitoring driver's status via HRV detection of ANS activation/deactivation states to prevent accidents caused by drowsiness while driving.
Article
Acoustics
Tengyu Li, Ziming Kou, Juan Wu, Waled Yahya, Francesco Villecco
Summary: An adaptive fault diagnosis method is proposed in this study, consisting of fault information integration and extracted feature evaluation. Different technologies and methods are applied to address the issues in traditional methods, with verification results showing its good performance in bearing state recognition.
SHOCK AND VIBRATION
(2021)
Article
Physics, Multidisciplinary
Shuli Mei, Meng Liu, Aleksey Kudreyko, Piercarlo Cattani, Denis Baikov, Francesco Villecco
Summary: Magnetic resonance imaging (MRI) is crucial for disease diagnosis. This study presents an adaptive denoising method for microsection images with Rician noise using the bendlets system, which effectively represents images with curve contours. The proposed method outperforms other algorithms in terms of Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM).
Article
Physics, Multidisciplinary
Kexin Meng, Piercarlo Cattani, Francesco Villecco
Summary: In this study, an automated model based on Bendlet transform and improved Chan-Vese model is proposed for brain tumor segmentation. The combination of Bendlet transform and SSIM region detection method improves the accuracy and stability of the segmentation.
Article
Engineering, Multidisciplinary
Oke Davies Adeyemo, Chaudry Masood Khalique, Yusif S. Gasimov, Francesco Villecco
Summary: This article presents an analytical investigation of a completely generalized (3 + 1)-dimensional nonlinear potential Yu-Toda-Sasa-Fukuyama equation, which has applications in engineering and physics. The paper comprehensively studies the generalized version of the equation and achieves various new solutions, including solitons and special function solutions. The equation is reduced to an integrable form using the theory of Lie groups and a standard technique, allowing for direct integration. The results are validated graphically, and conserved quantities of the equation are constructed using both variational and non-variational approaches.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Proceedings Paper
Engineering, Multidisciplinary
Luca Salvati, Nicola Cappetti, Matteo d'Amore, Anita Fiorentino, Arcangelo Pellegrino, Pasquale Sena, Francesco Villecco
Summary: The development and spread of human-centered products have led to increased applications in various fields. This study focuses on the interpretation of biosignals to provide real-time monitoring of physiological conditions, offering support in clinical and driving safety areas. Heart rate variability analysis helps assess the autonomic nervous system dynamics and detect systemic diseases and changes related to daily biological rhythms, stress, fatigue, comfort, and vigilance. The research proposes a contactless detection platform that can acquire cardiac signals in real time, filtering noise and identifying important parameters.
DESIGN TOOLS AND METHODS IN INDUSTRIAL ENGINEERING II, ADM 2021
(2022)
Proceedings Paper
Engineering, Multidisciplinary
Andrea di Filippo, Francesco Villecco, Nicola Cappetti, Salvatore Barba
Summary: The field of simplification of geometric surfaces lacks a universally recognized definition of the error, but this study proposes a method for quantification.
DESIGN TOOLS AND METHODS IN INDUSTRIAL ENGINEERING II, ADM 2021
(2022)
Article
Mathematics, Interdisciplinary Applications
Jie Xing, Wanqing Song, Francesco Villecco
Summary: This article develops a new stochastic sequence forecasting model, known as the difference iterative forecasting model based on the Generalized Cauchy (GC) process. The GC process, described by Hurst parameter H and fractal dimension D, is used to more flexibly describe various LRD processes. The forecasting model parameters are estimated by statistical methods and validated using real wind speed data.
FRACTAL AND FRACTIONAL
(2021)
Article
Engineering, Electrical & Electronic
Aurelio Liguori, Andrea Formato, Arcangelo Pellegrino, Francesco Villecco
Summary: This study established a numerical model of a tank container for foodstuff using the ANSYS R17.0 program code and validated the model through ISO tests. The results showed that the most stressed area in the experiments is at the connections between the container and the support frame.
Proceedings Paper
Green & Sustainable Science & Technology
Francesco Villecco, Rita Patrizia Aquino, Vincenza Calabro, Maria Ida Corrente, Antonio Grasso, Vincenzo Naddeo
FRONTIERS IN WATER-ENERGY-NEXUS NATURE-BASED SOLUTIONS, ADVANCED TECHNOLOGIES AND BEST PRACTICES FOR ENVIRONMENTAL SUSTAINABILITY
(2020)
Article
Engineering, Electrical & Electronic
Luca Salvati, Matteo d'Amore, Anita Fiorentino, Arcangelo Pellegrino, Pasquale Sena, Francesco Villecco
Article
Environmental Sciences
Francesco Villecco, Rita Patrizia Aquino, Vincenza Calabro, Maria Ida Corrente, Matteo d'Amore, Antonio Grasso, Vincenzo Naddeo
EURO-MEDITERRANEAN JOURNAL FOR ENVIRONMENTAL INTEGRATION
(2020)
Article
Engineering, Electrical & Electronic
Andrea Formato, Domenico Ianniello, Raffaele Romano, Arcangelo Pellegrino, Francesco Villecco