Selected Papers: Symmetry 2025—The Fifth Edition of the International Conference on Symmetry

A special issue of Symmetry (ISSN 2073-8994).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 584

Special Issue Editors


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Guest Editor
1. ICREA, 08010 Barcelona, Spain
2. Institute of Space Sciences (IEEC-CSIC), C. Can Magrans s/n, 08193 Barcelona, Spain
Interests: cosmology; dark energy and inflation; classical and quantum gravity; extended gravity; quantum fields in curved spacetime
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School of Mathematics and Statistics, Ningbo University, Ningbo 315211, China
Interests: integrability and analysis of Camassa-Holm-type equations; invariant geometrical flows and integrable systems; Hamiltonian structure of integrable systems; symmetries and geometric properties of nonlinear evolution equations

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National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, 199 Ren-Ai Road, Suzhou, China
Interests: fractal calculus; fractional calculus; nonlinear science; nanotechnology; biomechanics
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Special Issue Information

Dear Colleagues,

Participants in this conference are invited to contribute a full manuscript to our Special Issue, entitled "Selected Papers: Symmetry 2025—The Fifth Edition of the International Conference on Symmetry", of the journal Symmetry.

All accepted contributions will enjoy a 20% discount on the publication fees. This Special Issue will represent all disciplines relevant to the conference, where the notion of symmetry plays an important role. Special attention will be paid to interdisciplinary contributions.

We are thrilled to announce the establishment of three prestigious awards (Best Oral Presentation Award, Best Poster Award and Best Speaker Award), recognizing and celebrating the outstanding contributions made by our participants during Symmetry 2025. Among those, 6 winners will receive a full waiver of the Article Processing Charge to publish one article in Symmetry, and 12 winners will receive a 50% waiver. Authors can choose submit their papers to the Special Issues or a specific section.

This Special Issue will be closely aligned with the themes of the conference.

Symmetry is indexed within Scopus, SCIE (Web of Science), CAPlus/SciFinder, Inspec, Astrophysics Data System, and other databases and has an Impact Factor of 2.2 and a 5-Year Impact Factor of 2.3.

Prof. Dr. Sergei D. Odintsov
Prof. Dr. Changzheng Qu
Prof. Dr. Ji-Huan He
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • physics
  • mathematics
  • chemistry
  • engineering
  • computer science
  • symmetry applications

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Published Papers (1 paper)

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Research

25 pages, 7868 KiB  
Article
A Fault Identification Method for Ferroresonance Based on a Gramian Angular Summation Field and an Improved Cloud Model
by Bo Chen, Cheng Guo, Jianbo Dai, Ketong Lu, Hang Zhou and Xuanming Yang
Symmetry 2025, 17(3), 430; https://doi.org/10.3390/sym17030430 - 13 Mar 2025
Viewed by 203
Abstract
Due to the broad frequency domain and nonlinear characteristics of ferroresonance signals, traditional time–frequency analysis methods often face challenges such as misjudgment, difficulty in threshold setting, and noise interference when extracting features from ferroresonance overvoltage signals. A fault identification method for ferroresonance based [...] Read more.
Due to the broad frequency domain and nonlinear characteristics of ferroresonance signals, traditional time–frequency analysis methods often face challenges such as misjudgment, difficulty in threshold setting, and noise interference when extracting features from ferroresonance overvoltage signals. A fault identification method for ferroresonance based on the Gramian Angular Summation Field (GASF) and an improved cloud model is proposed to address the identified problems. Firstly, this paper employs Symplectic Geometric Mode Decomposition (SGMD) to denoise the ferroresonance overvoltage signal, extract its characteristic modal components, and reconstruct the signal. Secondly, the reconstructed one-dimensional signal is transformed into a two-dimensional image using GASF. Subsequently, we extract texture features of GASF images with different resonance types by grey-level co-occurrence matrix (GLCM) and establish the corresponding cloud distribution model to characterize these textures. Finally, we calculate the membership degree between the standard cloud for the signal to be identified and the index cloud in the cloud distribution model, enabling accurate identification of the type of ferroresonance based on this membership degree. Simulation and actual measurement data analyses validate the feasibility and effectiveness of the proposed method. Full article
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