Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (174)
  • Open Access

    ARTICLE

    Virtual Synchronous Generator Control Strategy Based on Parameter Self-Tuning

    Jin Lin1,*, Bin Yu2, Chao Chen1, Jiezhen Cai1, Yifan Wu2, Cunping Wang3

    Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069310 - 27 December 2025

    Abstract With the increasing integration of renewable energy, microgrids are increasingly facing stability challenges, primarily due to the lack of inherent inertia in inverter-dominated systems, which is traditionally provided by synchronous generators. To address this critical issue, Virtual Synchronous Generator (VSG) technology has emerged as a highly promising solution by emulating the inertia and damping characteristics of conventional synchronous generators. To enhance the operational efficiency of virtual synchronous generators (VSGs), this study employs small-signal modeling analysis, root locus methods, and synchronous generator power-angle characteristic analysis to comprehensively evaluate how virtual inertia and damping coefficients affect frequency… More > Graphic Abstract

    Virtual Synchronous Generator Control Strategy Based on Parameter Self-Tuning

  • Open Access

    ARTICLE

    Beyond Accuracy: Evaluating and Explaining the Capability Boundaries of Large Language Models in Syntax-Preserving Code Translation

    Yaxin Zhao1, Qi Han2, Hui Shu2, Yan Guang2,*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-24, 2026, DOI:10.32604/cmc.2025.070511 - 09 December 2025

    Abstract Large Language Models (LLMs) are increasingly applied in the field of code translation. However, existing evaluation methodologies suffer from two major limitations: (1) the high overlap between test data and pretraining corpora, which introduces significant bias in performance evaluation; and (2) mainstream metrics focus primarily on surface-level accuracy, failing to uncover the underlying factors that constrain model capabilities. To address these issues, this paper presents TCode (Translation-Oriented Code Evaluation benchmark)—a complexity-controllable, contamination-free benchmark dataset for code translation—alongside a dedicated static feature sensitivity evaluation framework. The dataset is carefully designed to control complexity along multiple dimensions—including syntactic… More >

  • Open Access

    ARTICLE

    Cavitation Effects and Flow Field Analysis of a Jet Impingement-Negative Pressure Ammonia Removal Reactor

    Dong Hu1,2, Lingxing Hu3, Facheng Qiu3,*

    Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1865-1882, 2025, DOI:10.32604/fhmt.2025.073409 - 31 December 2025

    Abstract With the acceleration of industrialization and urbanization, ammonia nitrogen pollution in water bodies has become increasingly severe, making the development of efficient and low-consumption wastewater treatment technologies highly significant. This study employs three-dimensional computational fluid dynamics (CFD) to investigate the cavitation mechanisms and flow field characteristics in a novel jet impingement-negative pressure ammonia removal reactor. The simulation, validated by experimental pressure data with a high degree of consistency, utilizes the Mixture model, the Realizable k-ε turbulence model, and the Schnerr-Sauer cavitation model. The results demonstrate that the flow velocity undergoes a substantial acceleration within the… More > Graphic Abstract

    Cavitation Effects and Flow Field Analysis of a Jet Impingement-Negative Pressure Ammonia Removal Reactor

  • Open Access

    ARTICLE

    LLM-Based Enhanced Clustering for Low-Resource Language: An Empirical Study

    Talha Farooq Khan1, Majid Hussain1, Muhammad Arslan2, Muhammad Saeed1, Lal Khan3,*, Hsien-Tsung Chang4,5,6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3883-3911, 2025, DOI:10.32604/cmes.2025.073021 - 23 December 2025

    Abstract Text clustering is an important task because of its vital role in NLP-related tasks. However, existing research on clustering is mainly based on the English language, with limited work on low-resource languages, such as Urdu. Low-resource language text clustering has many drawbacks in the form of limited annotated collections and strong linguistic diversity. The primary aim of this paper is twofold: (1) By introducing a clustering dataset named UNC-2025 comprises 100k Urdu news documents, and (2) a detailed empirical standard of Large Language Model (LLM) improved clustering methods for Urdu text. We explicitly evaluate the… More >

  • Open Access

    ARTICLE

    Enhancement of Frequency Regulation in AC-Excited Adjustable-Speed Pumped Storage Units during Pumping Operations

    Shuxin Tan1, Wei Yan2, Lei Zhao1, Xianglin Zhang3,*, Ziqiang Man2, Yu Lu2, Teng Liu2, Gaoyue Zhong2, Weiqun Liu2, Linjun Shi3

    Energy Engineering, Vol.122, No.12, pp. 5175-5197, 2025, DOI:10.32604/ee.2025.068692 - 27 November 2025

    Abstract The integration of large-scale renewable energy introduces frequency instability challenges due to inherent intermittency. While doubly-fed pumped storage units (DFPSUs) offer frequency regulation potential in pumping mode, conventional strategies fail to address hydraulic-mechanical coupling dynamics and operational constraints, limiting their effectiveness. This paper presents an innovative primary frequency control strategy for double-fed pumped storage units (DFPSUs) operating in pumping mode, integrating an adaptive parameter calculation method. This method is constrained by operational speed and power limits, addressing key performance factors. A dynamic model that incorporates the reversible pump-turbine characteristics is developed to translate frequency deviations… More >

  • Open Access

    PROCEEDINGS

    Vibration Reduction Design of Two-Dimensional Periodical Triangular Concave Structure

    Yibin Mao1, Dianlong Yu2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.012290

    Abstract In modern engineering, situations that require vibration reduction often come with specific pressure requirements. Mechanical metamaterials have the advantages in mechanical loading and low-frequency band gap vibration reduction. To ensure that the structure has a wide and low-frequency band gap while having a pressure resistance, a two-dimensional triangular concave negative Poisson's ratio structure with strong pressure resistance is introduced. The internal structure is designed according to the principle of local resonance. The band structure and intrinsic modes of the two-dimensional triangular concave model are calculated by the finite element method through simulation software. The band… More >

  • Open Access

    ARTICLE

    Comparative Analysis of Wavelet and Hilbert Transforms for Vehicle-Based Identification of Bridge Damping Ratios

    Judy P. Yang*, Yuan-Jun Zhang

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 669-691, 2025, DOI:10.32604/cmes.2025.068945 - 31 July 2025

    Abstract Much of the research has focused on identifying bridge frequencies for health monitoring, while the bridge damping ratio also serves as an important factor in damage detection. This study presents an enhanced method for identifying bridge damping ratios using a two-axle, three-mass test vehicle, relying on wheel responses captured by only two mounted sensors. Damping ratio estimation formulas are derived using both the Hilbert Transform (HT) and Wavelet Transform (WT), with a consistent formulation that confirms accurate estimation is achievable with minimal instrumentation, particularly when addressing the support effect. A comparative analysis of the two More >

  • Open Access

    ARTICLE

    Analytical Solutions for 1-Dimensional Peridynamic Systems by Considering the Effect of Damping

    Zhenghao Yang1, Erkan Oterkus2,*, Selda Oterkus2, Konstantin Naumenko1

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2491-2508, 2025, DOI:10.32604/cmes.2025.062998 - 30 May 2025

    Abstract For the solution of peridynamic equations of motion, a meshless approach is typically used instead of utilizing semi-analytical or mesh-based approaches. In contrast, the literature has limited analytical solutions. This study develops a novel analytical solution for one-dimensional peridynamic models, considering the effect of damping. After demonstrating the details of the analytical solution, various demonstration problems are presented. First, the free vibration of a damped system is considered for under-damped and critically damped conditions. Peridynamic solutions and results from the classical theory are compared against each other, and excellent agreement is observed between the two More >

  • Open Access

    ARTICLE

    GC-MS Analysis, Antimicrobial Activity, and Genotoxicity of Pimpinella anisum Essential oil: In Vitro, ADMET and Molecular Docking Investigations

    Ahmed Qasem*

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 809-824, 2025, DOI:10.32604/phyton.2025.062683 - 31 March 2025

    Abstract Pimpinella anisum, commonly known as anise, is generally used in both folk medicine and the culinary world. In traditional medicine, it is valued for its digestive, respiratory, and antispasmodic properties. This study aims to examine the volatile compounds and antibacterial effect of P. anisum essential oil (PAEO) as well as for the first time its genotoxicity employing both in vitro and computational approaches. Gas chromatography-mass spectrometry (GC-MS) analysis identified anethole as the principal compound, which comprises 92.47% of PAEO. PAEO was tested for its potential antibacterial properties against Bacillus subtilis ATCC 6633, Listeria innocua ATCC 33090, Staphylococcus aureus ATCC 29213, Klebsiella aerogenesMore >

  • Open Access

    ARTICLE

    Research on Optimization of Hierarchical Quantum Circuit Scheduling Strategy

    Ziao Han, Hui Li*, Kai Lu, Shujuan Liu, Mingmei Ju

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5097-5113, 2025, DOI:10.32604/cmc.2025.059577 - 06 March 2025

    Abstract Traditional quantum circuit scheduling approaches underutilize the inherent parallelism of quantum computation in the Noisy Intermediate-Scale Quantum (NISQ) era, overlook the inter-layer operations can be further parallelized. Based on this, two quantum circuit scheduling optimization approaches are designed and integrated into the quantum circuit compilation process. Firstly, we introduce the Layered Topology Scheduling Approach (LTSA), which employs a greedy algorithm and leverages the principles of topological sorting in graph theory. LTSA allocates quantum gates to a layered structure, maximizing the concurrent execution of quantum gate operations. Secondly, the Layerwise Conflict Resolution Approach (LCRA) is proposed.… More >

Displaying 1-10 on page 1 of 174. Per Page