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  • Open Access

    ARTICLE

    Enhancing Fire Detection Performance Based on Fine-Tuned YOLOv10

    Trong Thua Huynh*, Hoang Thanh Nguyen, Du Thang Phu

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2281-2298, 2024, DOI:10.32604/cmc.2024.057954 - 18 November 2024

    Abstract In recent years, early detection and warning of fires have posed a significant challenge to environmental protection and human safety. Deep learning models such as Faster R-CNN (Faster Region based Convolutional Neural Network), YOLO (You Only Look Once), and their variants have demonstrated superiority in quickly detecting objects from images and videos, creating new opportunities to enhance automatic and efficient fire detection. The YOLO model, especially newer versions like YOLOv10, stands out for its fast processing capability, making it suitable for low-latency applications. However, when applied to real-world datasets, the accuracy of fire prediction is… More >

  • Open Access

    PROCEEDINGS

    Thermal Insulating and Fire Retardant Si3N4 Nanowires Membranes Resistant to High-Temperatures up to 1300 °C

    Yeye Liu1, Leilei Zhang1,*, Ruonan Zhang1, Siqi Shao1, Lina Sun1, Xinyi Wan1, Tiantian Wang1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012576

    Abstract Superior thermal insulating and fire-retardant ceramic membranes are urgently demanded in the aerospace, construction and chemical engineering industries. However, the generic characteristics of ceramic membranes, such as brittleness, structural collapse and crystallization-induced pulverization behavior, present a great plague to their practical applications. Herein, we report a highly flexible, mechanically stable, fire retardant and high-temperature-resistant ceramic membrane based on the interlocked Si3N4 nanowires formed by the precursor pyrolysis method. The Si3N4 nanowires membrane (SNM) has excellent high temperature resistance under alcohol lamp and butane spray lance. The thermal insulation with a thermal conductivity as low as 0.056… More >

  • Open Access

    ARTICLE

    Determination of Physical, Mechanical and Fire Retardancy Properties of Innovative Particleboard Made from Corn Stalk (Zea mays L.) Particles

    Lilik Astari1,2,*, Benoit Belleville1, Kenji Umemura3, Alex Filkov4, Barbara Ozarska1, Robert H. Crawford5

    Journal of Renewable Materials, Vol.12, No.10, pp. 1729-1756, 2024, DOI:10.32604/jrm.2024.054786 - 23 October 2024

    Abstract The demand for particleboard is increasing along with economic and population growth. However, two major barriers to the manufacture of particleboard are a shortage of raw materials (woodchips) and the emission of formaldehyde from conventional adhesives. Agricultural by-products such as corn stalks contain an abundance of renewable lignocellulosic fiber. This study evaluates the effect of citric acid as a natural adhesive and fire retardant addition on the physical, mechanical, and fire retardancy properties of particleboards fabricated from corn stalks. A cost-effective and inorganic salt, calcium carbonate, was tested to enhance the fire retardancy. Ammonium dihydrogen… More > Graphic Abstract

    Determination of Physical, Mechanical and Fire Retardancy Properties of Innovative Particleboard Made from Corn Stalk (<i>Zea mays</i> L.) Particles

  • Open Access

    ARTICLE

    Optimizing Internet of Things Device Security with a Globalized Firefly Optimization Algorithm for Attack Detection

    Arkan Kh Shakr Sabonchi*

    Journal on Artificial Intelligence, Vol.6, pp. 261-282, 2024, DOI:10.32604/jai.2024.056552 - 18 October 2024

    Abstract The phenomenal increase in device connectivity is making the signaling and resource-based operational integrity of networks at the node level increasingly prone to distributed denial of service (DDoS) attacks. The current growth rate in the number of Internet of Things (IoT) attacks executed at the time of exchanging data over the Internet represents massive security hazards to IoT devices. In this regard, the present study proposes a new hybrid optimization technique that combines the firefly optimization algorithm with global searches for use in attack detection on IoT devices. We preprocessed two datasets, CICIDS and UNSW-NB15,… More >

  • Open Access

    ARTICLE

    Fireworks Optimization with Deep Learning-Based Arabic Handwritten Characters Recognition Model

    Abdelwahed Motwakel1,*, Badriyya B. Al-onazi2, Jaber S. Alzahrani3, Ayman Yafoz4, Mahmoud Othman5, Abu Sarwar Zamani1, Ishfaq Yaseen1, Amgad Atta Abdelmageed1

    Computer Systems Science and Engineering, Vol.48, No.5, pp. 1387-1403, 2024, DOI:10.32604/csse.2023.033902 - 13 September 2024

    Abstract Handwritten character recognition becomes one of the challenging research matters. More studies were presented for recognizing letters of various languages. The availability of Arabic handwritten characters databases was confined. Almost a quarter of a billion people worldwide write and speak Arabic. More historical books and files indicate a vital data set for many Arab nations written in Arabic. Recently, Arabic handwritten character recognition (AHCR) has grabbed the attention and has become a difficult topic for pattern recognition and computer vision (CV). Therefore, this study develops fireworks optimization with the deep learning-based AHCR (FWODL-AHCR) technique. The… More >

  • Open Access

    ARTICLE

    Study on Temperature Distribution and Smoke Spreading Behavior of Different Fire Source Locations in the Underwater W-Shaped Island-Crossing Tunnel

    Zhisheng Xu1, Juan Wang1, Zihan Yu1, Jiaming Zhao2,*

    Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 1129-1151, 2024, DOI:10.32604/fhmt.2024.053695 - 30 August 2024

    Abstract Called island-crossing tunnels, some specific underwater tunneling projects face constraints imposed by geological and water conditions, necessitating their passage through artificial or natural islands. The longitudinal of the tunnel follows a W-shaped distribution. The congestion situation does not allow for immediate longitudinal smoke exhaust at the early stage of the fire, and the natural spread of smoke is complicated. An exhaustive investigation was carried out to analyze the smoke behaviors during a fire incident, employing the fire dynamics software FDS, considering five slopes and four fire locations. The simulation results reveal that the layer of… More >

  • Open Access

    ARTICLE

    Study of the Influence of the Distance between Smoke Outlets and Fire Source on Smoke Flow Characteristics in Tunnel Fires

    Liang Yi, Zhiqiang Lei, Zhisheng Xu, Yaolong Yin, Houlin Ying*

    Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 977-996, 2024, DOI:10.32604/fhmt.2024.053688 - 30 August 2024

    Abstract This paper explores the smoke flow characteristics in tunnel fires, giving a particular emphasis on the effects of different distances between the smoke outlets and the fire source. It examines the smoke behavior under different conditions, including variations in heat release rates, exhaust volumetric flow rates, spacing between smoke outlets, and the longitudinal fire source positions. Results indicate that altering the fire source positions and the smoke outlets in the tunnel leads to variations in the properties of smoke flow both the fire source upstream and downstream; the distance between fire source and smoke outlet… More > Graphic Abstract

    Study of the Influence of the Distance between Smoke Outlets and Fire Source on Smoke Flow Characteristics in Tunnel Fires

  • Open Access

    ARTICLE

    Thermo-Mechanical, Physico-Chemical, Morphological, and Fire Characteristics of Eco-Friendly Particleboard Manufactured with Phosphorylated Lignin Addition

    Apri Heri Iswanto1,*, Harisyah Manurung1, Asma Sohail2, Lee Seng Hua3,9, Petar Antov4, Deded Sarip Nawawi5, Sarah Latifah5, Dewi Shafa Kayla5,6, Sukma Surya Kusumah6, Muhammad Adly Rahandi Lubis6, Linda Makovická Osvaldová7, Mohd. Hazwan Hussin8, Rangabhashiyam Selvasembian9, Lum Wei Chen10, Puji Rahmawati Nurcahyani6, Nam Hun Kim11, Widya Fatriasari6

    Journal of Renewable Materials, Vol.12, No.7, pp. 1311-1341, 2024, DOI:10.32604/jrm.2024.052172 - 21 August 2024

    Abstract Lignin, lignosulfonate, and synthesized phosphorylated lignosulfonate were introduced as green fillers in citric acid-sucrose adhesives for bonding particleboard fabricated from areca leaf sheath (ALS). The characteristics of particleboards were compared to that of ultralow emitting formaldehyde (ULEF-UF). The fillers derived from Eucalyptus spp. kraft-lignin were added for flame retardancy enhancement. 10% of each lignin and modified lignin was added into the ULEF-UF and citric acid-sucrose bonded particleboards. Analyses applied to particleboards included thermal characteristics, X-ray diffraction analysis (XRD), morphological properties, Fourier transform infrared spectroscopy (FTIR), as well as physical, mechanical, and fire resistance characteristics of the… More > Graphic Abstract

    Thermo-Mechanical, Physico-Chemical, Morphological, and Fire Characteristics of Eco-Friendly Particleboard Manufactured with Phosphorylated Lignin Addition

  • Open Access

    ARTICLE

    Optimizing Bucket Elevator Performance through a Blend of Discrete Element Method, Response Surface Methodology, and Firefly Algorithm Approaches

    Pirapat Arunyanart, Nithitorn Kongkaew, Supattarachai Sudsawat*

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 3379-3403, 2024, DOI:10.32604/cmc.2024.054337 - 15 August 2024

    Abstract This research introduces a novel approach to enhancing bucket elevator design and operation through the integration of discrete element method (DEM) simulation, design of experiments (DOE), and metaheuristic optimization algorithms. Specifically, the study employs the firefly algorithm (FA), a metaheuristic optimization technique, to optimize bucket elevator parameters for maximizing transport mass and mass flow rate discharge of granular materials under specified working conditions. The experimental methodology involves several key steps: screening experiments to identify significant factors affecting bucket elevator operation, central composite design (CCD) experiments to further explore these factors, and response surface methodology (RSM)… More >

  • Open Access

    ARTICLE

    Microarray Gene Expression Classification: An Efficient Feature Selection Using Hybrid Swarm Intelligence Algorithm

    Punam Gulande*, R. N. Awale

    Computer Systems Science and Engineering, Vol.48, No.4, pp. 937-952, 2024, DOI:10.32604/csse.2024.046123 - 17 July 2024

    Abstract The study of gene expression has emerged as a vital tool for cancer diagnosis and prognosis, particularly with the advent of microarray technology that enables the measurement of thousands of genes in a single sample. While this wealth of data offers invaluable insights for disease management, the high dimensionality poses a challenge for multiclass classification. In this context, selecting relevant features becomes essential to enhance classification model performance. Swarm Intelligence algorithms have proven effective in addressing this challenge, owing to their ability to navigate intricate, non-linear feature-class relationships. This paper introduces a novel hybrid swarm More >

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