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  • Open Access

    ARTICLE

    Robust Sensor—Less PR Controller Design for 15-PUC Multilevel Inverter Topology with Low Voltage Stress for Renewable Energy Applications

    K. Naga Venkata Siva1, Damodhar Reddy2, P. Krishna Murthy3, Kiran Kumar Pulamolu4, M. Dharani5, T. Venkatakrishnamoorthy6,*

    Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.072982 - 27 December 2025

    Abstract Conventional multilevel inverters often suffer from high harmonic distortion and increased design complexity due to the need for numerous power semiconductor components, particularly at elevated voltage levels. Addressing these shortcomings, this work presents a robust 15-level Packed U Cell (PUC) inverter topology designed for renewable energy and grid-connected applications. The proposed system integrates a sensor less proportional-resonant (PR) controller with an advanced carrier-based pulse width modulation scheme. This approach efficiently balances capacitor voltage, minimizes steady-state error, and strongly suppresses both zero and third-order harmonics resulting in reduced total harmonic distortion and enhanced voltage regulation. Additionally, More >

  • Open Access

    ARTICLE

    Equivalent Modeling with Passive Filter Parameter Clustering for Photovoltaic Power Stations Based on a Particle Swarm Optimization K-Means Algorithm

    Binjiang Hu1,*, Yihua Zhu2, Liang Tu1,2, Zun Ma3, Xian Meng3, Kewei Xu3

    Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069777 - 27 December 2025

    Abstract This paper proposes an equivalent modeling method for photovoltaic (PV) power stations via a particle swarm optimization (PSO) K-means clustering (KMC) algorithm with passive filter parameter clustering to address the complexities, simulation time cost and convergence problems of detailed PV power station models. First, the amplitude–frequency curves of different filter parameters are analyzed. Based on the results, a grouping parameter set for characterizing the external filter characteristics is established. These parameters are further defined as clustering parameters. A single PV inverter model is then established as a prerequisite foundation. The proposed equivalent method combines the… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Damage Behavior in Graphene-Reinforced Aluminum Matrix Composite Armatures under Multi-Physical Field Coupling

    Junwen Huo, Haicheng Liang, Weiye Dong, Xiaoming Du*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.073285 - 09 December 2025

    Abstract With the rapid advancement of electromagnetic launch technology, enhancing the structural stability and thermal resistance of armatures has become essential for improving the overall efficiency and reliability of railgun systems. Traditional aluminum alloy armatures often suffer from severe ablation, deformation, and uneven current distribution under high pulsed currents, which limit their performance and service life. To address these challenges, this study employs the Johnson–Cook constitutive model and the finite element method to develop armature models of aluminum matrix composites with varying heterogeneous graphene volume fractions. The temperature, stress, and strain of the armatures during operation… More >

  • Open Access

    ARTICLE

    IoT-Driven Pollution Detection System for Indoor and Outdoor Environments

    Fatima Khan1, Amna Khan1, Tariq Ali2, Tariq Shahzad3, Tehseen Mazhar4,*, Sunawar Khan5, Muhammad Adnan Khan6,*, Habib Hamam7,8,9,10

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-27, 2026, DOI:10.32604/cmc.2025.068228 - 09 December 2025

    Abstract The rise in noise and air pollution poses severe risks to human health and the environment. Industrial and vehicular emissions release harmful pollutants such as CO2, SO2, CO, CH4, and noise, leading to significant environmental degradation. Monitoring and analyzing pollutant concentrations in real-time is crucial for mitigating these risks. However, existing systems often lack the capacity to monitor both indoor and outdoor environments effectively.This study presents a low-cost, IoT-based pollution detection system that integrates gas sensors (MQ-135 and MQ-4), a noise sensor (LM393), and a humidity sensor (DHT-22), all connected to a Node MCU (ESP8266) microcontroller. The… More >

  • Open Access

    ARTICLE

    A Q-Learning Improved Particle Swarm Optimization for Aircraft Pulsating Assembly Line Scheduling Problem Considering Skilled Operator Allocation

    Xiaoyu Wen1,2, Haohao Liu1,2, Xinyu Zhang1,2, Haoqi Wang1,2, Yuyan Zhang1,2, Guoyong Ye1,2, Hongwen Xing3, Siren Liu3, Hao Li1,2,*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-27, 2026, DOI:10.32604/cmc.2025.069492 - 10 November 2025

    Abstract Aircraft assembly is characterized by stringent precedence constraints, limited resource availability, spatial restrictions, and a high degree of manual intervention. These factors lead to considerable variability in operator workloads and significantly increase the complexity of scheduling. To address this challenge, this study investigates the Aircraft Pulsating Assembly Line Scheduling Problem (APALSP) under skilled operator allocation, with the objective of minimizing assembly completion time. A mathematical model considering skilled operator allocation is developed, and a Q-Learning improved Particle Swarm Optimization algorithm (QLPSO) is proposed. In the algorithm design, a reverse scheduling strategy is adopted to effectively… More >

  • Open Access

    ARTICLE

    Federated Multi-Label Feature Selection via Dual-Layer Hybrid Breeding Cooperative Particle Swarm Optimization with Manifold and Sparsity Regularization

    Songsong Zhang1, Huazhong Jin1,2,*, Zhiwei Ye1,2, Jia Yang1,2, Jixin Zhang1,2, Dongfang Wu1,2, Xiao Zheng1,2, Dingfeng Song1

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-19, 2026, DOI:10.32604/cmc.2025.068044 - 10 November 2025

    Abstract Multi-label feature selection (MFS) is a crucial dimensionality reduction technique aimed at identifying informative features associated with multiple labels. However, traditional centralized methods face significant challenges in privacy-sensitive and distributed settings, often neglecting label dependencies and suffering from low computational efficiency. To address these issues, we introduce a novel framework, Fed-MFSDHBCPSO—federated MFS via dual-layer hybrid breeding cooperative particle swarm optimization algorithm with manifold and sparsity regularization (DHBCPSO-MSR). Leveraging the federated learning paradigm, Fed-MFSDHBCPSO allows clients to perform local feature selection (FS) using DHBCPSO-MSR. Locally selected feature subsets are encrypted with differential privacy (DP) and transmitted… More >

  • Open Access

    ARTICLE

    Specific Internet-Use Disorders among Indonesian College Students: Psychometric Evaluation of the Assessment of Criteria for Specific Internet-Use Disorders (ACSID-11)

    Siti Rahayu Nadhiroh1,*, Ira Nurmala2, Iqbal Pramukti3, Kamolthip Ruckwongpatr4, Laila Wahyuning Tyas2, Afina Puspita Zari2, Warda Eka Islamiah1, Yan-Li Siaw5, Marc N. Potenza6,7,8,9,10,11, Chung-Ying Lin12,13,14,15,*

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1847-1865, 2025, DOI:10.32604/ijmhp.2025.072115 - 31 December 2025

    Abstract Objectives: Problematic use of the internet (PUI) has been increasingly associated with various mental health issues, highlighting the need for accurate assessment tools. The Assessment of Criteria for Specific Internet-use Disorder (ACSID-11) is a validated psychometric instrument designed to measure distinct forms of PUI across multiple online activities. However, its applicability and validity have not yet been established within the Indonesian context. Therefore, this study aimed to translate and validate the ACSID-11 for use among Indonesian populations. Methods: The translation procedure of the ACSID-11 involved forward translation, back translation, and expert panel discussions. This research involved… More >

  • Open Access

    ARTICLE

    Bioactive Potential of Calophyllum inophyllum: Phytochemical Profiles, Biological Activities, and In Silico Pharmacokinetic Predictions

    Luksamee Vittaya1,*, Chakhriya Chalad1, Sittichoke Janyong2, Nararak Leesakul3

    Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 4091-4115, 2025, DOI:10.32604/phyton.2025.074891 - 29 December 2025

    Abstract Calophyllum inophyllum is a tropical plant that could have useful medicinal properties for pharmaceutical and cosmetic applications. The present study extracted the flower, fruit, leaf, twig, and bark of the plant by maceration in different organic solvents. The correlation between bioactive compounds and their biological activities was investigated, with emphasis on their therapeutic relevance through in silico pharmacokinetic predictions using SwissADME. Qualitative and quantitative analyses were conducted to determine the total phenolic, flavonoid, and saponin contents of the extracts. Spectral analysis of the extracts revealed –OH, C=O, C=C, and C–H functional groups. The antioxidant activity of the… More > Graphic Abstract

    Bioactive Potential of <i>Calophyllum inophyllum</i>: Phytochemical Profiles, Biological Activities, and <i>In Silico</i> Pharmacokinetic Predictions

  • Open Access

    ARTICLE

    Phytochemical Composition and Pharmacological Effects of Extracts from Gilia capitata Sims

    Oleh Koshovyi1, Amal D. Premarathna2, Rando Tuvikene2, Valdas Jakštas3,4, Vaidotas Žvikas3, Yurii Hrytsyk5, Lyubov Grytsyk5, Andriy Grytsyk5, Jaan Liira6, Ain Raal1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3991-4019, 2025, DOI:10.32604/phyton.2025.074153 - 29 December 2025

    Abstract Gilia capitata Sims (Polemoniaceae) is an annual herbaceous plant widely distributed in western North America and cultivated as an ornamental flower. The detailed chemical composition and pharmacological properties of this plant have not been previously reported. This study aimed to investigate the chemical composition and pharmacological activity of aqueous-ethanolic extracts derived from different plant parts (herb, flowers, stems, roots, and fruits). HPLC analysis identified 12 phenolic compounds and 16 amino acids in the aqueous-ethanolic extracts obtained from these plant parts. The biological effects of the extracts were evaluated in vitro, including cytotoxicity, anti-inflammatory response, and wound-healing potential.… More >

  • Open Access

    ARTICLE

    Thermal Performance Assessment of a Trombe Wall in Social Housing through Numerical Simulation: A Case Study in Mexico

    Y.C. Rodríguez-Gómez1, J. Serrano-Arellano1,*, F.N. Demesa-López1, J.M. Belman-Flores2, J.F. Ituna-Yudonago3

    Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 2073-2107, 2025, DOI:10.32604/fhmt.2025.069564 - 31 December 2025

    Abstract The Trombe Wall (TW) is a low-cost, passive heating system known for its high thermal efficiency, particularly in cold and temperate climates. Recent research has explored its adaptability to warm-dry climates with high thermal variability, such as those found in central Mexico. This study presents a dynamic simulation-based analysis of the TW’s thermal performance in a representative social housing unit located in Pachuca de Soto, Hidalgo. Two models were compared—one with a south-facing TW system and one without—to evaluate indoor thermal comfort throughout a full annual cycle. The simulations were conducted using OpenStudio and EnergyPlus,… More > Graphic Abstract

    Thermal Performance Assessment of a Trombe Wall in Social Housing through Numerical Simulation: A Case Study in Mexico

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