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  • Open Access

    ARTICLE

    Multi-Objective Hybrid Sailfish Optimization Algorithm for Planetary Gearbox and Mechanical Engineering Design Optimization Problems

    Miloš Sedak*, Maja Rosić, Božidar Rosić

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2111-2145, 2025, DOI:10.32604/cmes.2025.059319 - 27 January 2025

    Abstract This paper introduces a hybrid multi-objective optimization algorithm, designated HMODESFO, which amalgamates the exploratory prowess of Differential Evolution (DE) with the rapid convergence attributes of the Sailfish Optimization (SFO) algorithm. The primary objective is to address multi-objective optimization challenges within mechanical engineering, with a specific emphasis on planetary gearbox optimization. The algorithm is equipped with the ability to dynamically select the optimal mutation operator, contingent upon an adaptive normalized population spacing parameter. The efficacy of HMODESFO has been substantiated through rigorous validation against established industry benchmarks, including a suite of Zitzler-Deb-Thiele (ZDT) and Zeb-Thiele-Laumanns-Zitzler (DTLZ) More >

  • Open Access

    ARTICLE

    Improving the Position Accuracy and Computational Efficiency of UAV Terrain Aided Navigation Using a Two-Stage Hybrid Fuzzy Particle Filtering Method

    Sofia Yousuf1, Muhammad Bilal Kadri2,*

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1193-1210, 2025, DOI:10.32604/cmc.2024.054587 - 03 January 2025

    Abstract Terrain Aided Navigation (TAN) technology has become increasingly important due to its effectiveness in environments where Global Positioning System (GPS) is unavailable. In recent years, TAN systems have been extensively researched for both aerial and underwater navigation applications. However, many TAN systems that rely on recursive Unmanned Aerial Vehicle (UAV) position estimation methods, such as Extended Kalman Filters (EKF), often face challenges with divergence and instability, particularly in highly non-linear systems. To address these issues, this paper proposes and investigates a hybrid two-stage TAN positioning system for UAVs that utilizes Particle Filter. To enhance the… More >

  • Open Access

    ARTICLE

    Energy Efficiency of a Solar Green Building Using Bio-Sourced Materials for Indoor Temperature and Humidity Optimization

    Soumia Mounir1,2,3,*, Youssef Maaloufa1,2,3, Abdelhamid Khabbazi2, Elina Mohd Husini4, Nurul Syala Abdul Latip4, Yakubu Aminu Dodo5,6, Rime EL Harrouni2,7, Mina Amazal3, Asma Souidi3, Malika Atigui3, Ahmed Aharoune3

    Energy Engineering, Vol.122, No.1, pp. 41-62, 2025, DOI:10.32604/ee.2024.057125 - 27 December 2024

    Abstract A clean environment with low carbon emissions is the goal of research on the development of green and sustainable buildings that use bio-sourced materials in conjunction with solar energy to create more sustainable cities. This is particularly true in Africa, where there aren’t many studies on the topic. The current study suggests a 90 m2 model of a sustainable building in a dry climate that is movable to address the issue of housing in remote areas, ensures comfort in harsh weather conditions, uses solar renewable resources—which are plentiful in Africa—uses bio-sourced materials, and examines how these… More > Graphic Abstract

    Energy Efficiency of a Solar Green Building Using Bio-Sourced Materials for Indoor Temperature and Humidity Optimization

  • Open Access

    ARTICLE

    Enhancing Solar Photovoltaic Efficiency: A Computational Fluid Dynamics Analysis

    Rahool Rai1,2,3,*, Fareed Hussain Mangi4, Kashif Ahmed2, Sudhakar Kumaramsay1,5,6,*

    Energy Engineering, Vol.122, No.1, pp. 153-166, 2025, DOI:10.32604/ee.2024.051789 - 27 December 2024

    Abstract The growing need for sustainable energy solutions, driven by rising energy shortages, environmental concerns, and the depletion of conventional energy sources, has led to a significant focus on renewable energy. Solar energy, among the various renewable sources, is particularly appealing due to its abundant availability. However, the efficiency of commercial solar photovoltaic (PV) modules is hindered by several factors, notably their conversion efficiency, which averages around 19%. This efficiency can further decline to 10%–16% due to temperature increases during peak sunlight hours. This study investigates the cooling of PV modules by applying water to their… More >

  • Open Access

    ARTICLE

    A New Encryption Mechanism Supporting the Update of Encrypted Data for Secure and Efficient Collaboration in the Cloud Environment

    Chanhyeong Cho1, Byeori Kim2, Haehyun Cho2, Taek-Young Youn1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 813-834, 2025, DOI:10.32604/cmes.2024.056952 - 17 December 2024

    Abstract With the rise of remote collaboration, the demand for advanced storage and collaboration tools has rapidly increased. However, traditional collaboration tools primarily rely on access control, leaving data stored on cloud servers vulnerable due to insufficient encryption. This paper introduces a novel mechanism that encrypts data in ‘bundle’ units, designed to meet the dual requirements of efficiency and security for frequently updated collaborative data. Each bundle includes updated information, allowing only the updated portions to be re-encrypted when changes occur. The encryption method proposed in this paper addresses the inefficiencies of traditional encryption modes, such… More >

  • Open Access

    REVIEW

    Effects of Nanofertilizers on the Mechanism of Photosynthetic Efficiency in Plants: A Review

    Xinyi Liu1,4, Muhammed Nadeem1, Yukui Rui1,2,3,4,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3197-3216, 2024, DOI:10.32604/phyton.2024.059281 - 31 December 2024

    Abstract Compared with conventional fertilizers, nano fertilizer has many advantages such as controlled release, controlled or slow release of nutrients, high efficiency of nutrition use, cheap, and little polluting of the environment. The use of fertilizers with nanotechnology is a new field in agriculture, and it is a promising and cost-effective substitute for conventional fertilizers to improve the productivity of the world’s food supply. Photosynthesis is an essential biochemical reaction on Earth. Improving photosynthesis, the basic process for light’s transformation into chemical energy is one of the most important areas of research for improving agricultural output… More > Graphic Abstract

    Effects of Nanofertilizers on the Mechanism of Photosynthetic Efficiency in Plants: A Review

  • Open Access

    ARTICLE

    AI-Driven Resource and Communication-Aware Virtual Machine Placement Using Multi-Objective Swarm Optimization for Enhanced Efficiency in Cloud-Based Smart Manufacturing

    Praveena Nuthakki1, Pavan Kumar T.1, Musaed Alhussein2, Muhammad Shahid Anwar3,*, Khursheed Aurangzeb2, Leenendra Chowdary Gunnam4

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4743-4756, 2024, DOI:10.32604/cmc.2024.058266 - 19 December 2024

    Abstract Cloud computing has emerged as a vital platform for processing resource-intensive workloads in smart manufacturing environments, enabling scalable and flexible access to remote data centers over the internet. In these environments, Virtual Machines (VMs) are employed to manage workloads, with their optimal placement on Physical Machines (PMs) being crucial for maximizing resource utilization. However, achieving high resource utilization in cloud data centers remains a challenge due to multiple conflicting objectives, particularly in scenarios involving inter-VM communication dependencies, which are common in smart manufacturing applications. This manuscript presents an AI-driven approach utilizing a modified Multi-Objective Particle More >

  • Open Access

    ARTICLE

    Effects of Water-Fertilizer Coupling on Growth Characteristics and Water Use Efficiency of Camellia petelotii Seedlings

    Liangyu Luo1,#, Ru Li1,#, Daocheng Ma1, Yijin Wang2,*, Linghui Wang1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2927-2947, 2024, DOI:10.32604/phyton.2024.056429 - 30 November 2024

    Abstract Camellia petelotii (Merr.) Sealy is an endangered Chinese native species that originates from Guangxi Zhuang Autonomous Region, China. Previous research demonstrated that proper water and fertilizer treatments could improve the growth and quality of Camellia species. This study uses a three-factor, five-level quadratic rotational combination experimental design to investigate the impact of water-fertilizer coupling on plant growth characteristics and the most suitable treatment for 24-month-old grafted C. petelotii seedlings. The experimental design includes irrigation levels [30%, 40%, 55%, 70%, 80% of field capacity (FC)], nitrogen application (0, 2.17, 5.43, 8.70, 10.87 g·plant−1), and phosphorus application (0, 0.96, 2.40,… More >

  • Open Access

    ARTICLE

    Reinforcement Learning Model for Energy System Management to Ensure Energy Efficiency and Comfort in Buildings

    Inna Bilous1, Dmytro Biriukov1, Dmytro Karpenko2, Tatiana Eutukhova2, Oleksandr Novoseltsev2,*, Volodymyr Voloshchuk1

    Energy Engineering, Vol.121, No.12, pp. 3617-3634, 2024, DOI:10.32604/ee.2024.051684 - 22 November 2024

    Abstract This article focuses on the challenges of modeling energy supply systems for buildings, encompassing both methods and tools for simulating thermal regimes and engineering systems within buildings. Enhancing the comfort of living or working in buildings often necessitates increased consumption of energy and material, such as for thermal upgrades, which consequently incurs additional economic costs. It is crucial to acknowledge that such improvements do not always lead to a decrease in total pollutant emissions, considering emissions across all stages of production and usage of energy and materials aimed at boosting energy efficiency and comfort in… More > Graphic Abstract

    Reinforcement Learning Model for Energy System Management to Ensure Energy Efficiency and Comfort in Buildings

  • Open Access

    ARTICLE

    Improving Smart Home Security via MQTT: Maximizing Data Privacy and Device Authentication Using Elliptic Curve Cryptography

    Zainatul Yushaniza Mohamed Yusoff1, Mohamad Khairi Ishak2,*, Lukman A. B. Rahim3, Mohd Shahrimie Mohd Asaari1

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1669-1697, 2024, DOI:10.32604/csse.2024.056741 - 22 November 2024

    Abstract The rapid adoption of Internet of Things (IoT) technologies has introduced significant security challenges across the physical, network, and application layers, particularly with the widespread use of the Message Queue Telemetry Transport (MQTT) protocol, which, while efficient in bandwidth consumption, lacks inherent security features, making it vulnerable to various cyber threats. This research addresses these challenges by presenting a secure, lightweight communication proxy that enhances the scalability and security of MQTT-based Internet of Things (IoT) networks. The proposed solution builds upon the Dang-Scheme, a mutual authentication protocol designed explicitly for resource-constrained environments and enhances it… More >

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