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  • Open Access

    ARTICLE

    Design and Development of Composite Plywood that Integrates Fire Resistance, Water Resistance and Wear Resistance

    Xingyu Liang1, Xiaoyu Gu1, Myint Myint Paing Hsu2, Yuhang He1, Rongzhuo Zhang1, Conghui Cai3, Zheng Wang1,*

    Journal of Renewable Materials, Vol.11, No.5, pp. 2333-2344, 2023, DOI:10.32604/jrm.2023.026137

    Abstract In order to improve the fire resistance, water resistance and wear resistance of ordinary plywood products in the wood processing industry, three composite structures of plywood products S1, S2 and S3 were designed in this paper, and a reasonable production process was proposed. Through the physical and mechanical properties and fire resistance testing and technical and economic analysis, the applicability of composite plywood was evaluated. The results of the study showed that the physical mechanics of the three kinds of composite structure plywood met the standard requirements, and their fire resistance was far better than that of ordinary plywood. Among… More >

  • Open Access

    ARTICLE

    Robust Image Watermarking Using LWT and Stochastic Gradient Firefly Algorithm

    Sachin Sharma1,*, Meena Malik2, Chander Prabha3, Amal Al-Rasheed4, Mona Alduailij4, Sultan Almakdi5

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 393-407, 2023, DOI:10.32604/cmc.2023.033536

    Abstract Watermarking of digital images is required in diversified applications ranging from medical imaging to commercial images used over the web. Usually, the copyright information is embossed over the image in the form of a logo at the corner or diagonal text in the background. However, this form of visible watermarking is not suitable for a large class of applications. In all such cases, a hidden watermark is embedded inside the original image as proof of ownership. A large number of techniques and algorithms are proposed by researchers for invisible watermarking. In this paper, we focus on issues that are critical… More >

  • Open Access

    ARTICLE

    Firefly-CDDL: A Firefly-Based Algorithm for Cyberbullying Detection Based on Deep Learning

    Monirah Al-Ajlan*, Mourad Ykhlef

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 19-34, 2023, DOI:10.32604/cmc.2023.033753

    Abstract There are several ethical issues that have arisen in recent years due to the ubiquity of the Internet and the popularity of social media and community platforms. Among them is cyberbullying, which is defined as any violent intentional action that is repeatedly conducted by individuals or groups using online channels against victims who are not able to react effectively. An alarmingly high percentage of people, especially teenagers, have reported being cyberbullied in recent years. A variety of approaches have been developed to detect cyberbullying, but they require time-consuming feature extraction and selection processes. Moreover, no approach to date has examined… More >

  • Open Access

    ARTICLE

    Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment

    Naqqash Dilshad1, Taimoor Khan2, JaeSeung Song1,*

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 749-764, 2023, DOI:10.32604/csse.2023.034475

    Abstract To prevent economic, social, and ecological damage, fire detection and management at an early stage are significant yet challenging. Although computationally complex networks have been developed, attention has been largely focused on improving accuracy, rather than focusing on real-time fire detection. Hence, in this study, the authors present an efficient fire detection framework termed E-FireNet for real-time detection in a complex surveillance environment. The proposed model architecture is inspired by the VGG16 network, with significant modifications including the entire removal of Block-5 and tweaking of the convolutional layers of Block-4. This results in higher performance with a reduced number of… More >

  • Open Access

    ARTICLE

    Numerical Simulation Analysis of the Transformer Fire Extinguishing Process with a High-Pressure Water Mist System under Different Conditions

    Haowei Yao1,3,*, Youxin Li1,3, Kefeng Lv1,3, Dong Wang2,3, Jinguang Zhang4, Zhenyu Zhan2,3, Zhenyu Wang2,3, Huaitao Song1,3, Xiaoge Wei1,3, Hengjie Qin1,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 733-747, 2023, DOI:10.32604/cmes.2023.022155

    Abstract To thoroughly study the extinguishing effect of a high-pressure water mist fire extinguishing system when a transformer fire occurs, a 3D experimental model of a transformer is established in this work by employing Fire Dynamics Simulator (FDS) software. More specifically, by setting different parameters, the process of the high-pressure water mist fire extinguishing system with the presence of both diverse ambient temperatures and water mist sprinkler laying conditions is simulated. In addition, the fire extinguishing effect of the employed high-pressure water mist system with the implementation of different strategies is systematically analyzed. The extracted results show that a fire source… More > Graphic Abstract

    Numerical Simulation Analysis of the Transformer Fire Extinguishing Process with a High-Pressure Water Mist System under Different Conditions

  • Open Access

    ARTICLE

    Fire Hawk Optimizer with Deep Learning Enabled Human Activity Recognition

    Mohammed Alonazi1, Mrim M. Alnfiai2,*

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 3135-3150, 2023, DOI:10.32604/csse.2023.034124

    Abstract Human-Computer Interaction (HCI) is a sub-area within computer science focused on the study of the communication between people (users) and computers and the evaluation, implementation, and design of user interfaces for computer systems. HCI has accomplished effective incorporation of the human factors and software engineering of computing systems through the methods and concepts of cognitive science. Usability is an aspect of HCI dedicated to guaranteeing that human–computer communication is, amongst other things, efficient, effective, and sustaining for the user. Simultaneously, Human activity recognition (HAR) aim is to identify actions from a sequence of observations on the activities of subjects and… More >

  • Open Access

    ARTICLE

    Software Defect Prediction Based Ensemble Approach

    J. Harikiran1,*, B. Sai Chandana1, B. Srinivasarao1, B. Raviteja2, Tatireddy Subba Reddy3

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 2313-2331, 2023, DOI:10.32604/csse.2023.029689

    Abstract Software systems have grown significantly and in complexity. As a result of these qualities, preventing software faults is extremely difficult. Software defect prediction (SDP) can assist developers in finding potential bugs and reducing maintenance costs. When it comes to lowering software costs and assuring software quality, SDP plays a critical role in software development. As a result, automatically forecasting the number of errors in software modules is important, and it may assist developers in allocating limited resources more efficiently. Several methods for detecting and addressing such flaws at a low cost have been offered. These approaches, on the other hand,… More >

  • Open Access

    ARTICLE

    Investigation of the Effects of a Large Percentage of Dried Sludge on the Operation of a Coal-Fired Boiler

    Jialin Tong1,2, Yan Zhang2, Ruikang Wu1, Xiaojuan Qi1, Xuemin Ye2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.4, pp. 1027-1041, 2023, DOI:10.32604/fdmp.2022.022303

    Abstract A 600 MW coal-fired boiler with a four-corner tangential combustion mode is considered here to study the combustion features and pollutant emissions at different loads for large-percentages of blending dried sludges. The influence of the over-fired air (OFA) coefficient is examined and the impact of the blending ratio on the boiler operation is explored. The results show that for low blending ratios, a slight increase in the blending ratio can improve the combustion of bituminite, whereas a further increase leads to the deterioration of the combustion of blended fuels and thus reduces the boiler efficiency. Enhancing the supporting capability of the… More > Graphic Abstract

    Investigation of the Effects of a Large Percentage of Dried Sludge on the Operation of a Coal-Fired Boiler

  • Open Access

    ARTICLE

    Intelligent Firefly Algorithm Deep Transfer Learning Based COVID-19 Monitoring System

    Mahmoud Ragab1,2,3,*, Mohammed W. Al-Rabia4,5, Sami Saeed Binyamin6, Ahmed A. Aldarmahi7,8

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 2889-2903, 2023, DOI:10.32604/cmc.2023.032192

    Abstract With the increasing and rapid growth rate of COVID-19 cases, the healthcare scheme of several developed countries have reached the point of collapse. An important and critical steps in fighting against COVID-19 is powerful screening of diseased patients, in such a way that positive patient can be treated and isolated. A chest radiology image-based diagnosis scheme might have several benefits over traditional approach. The accomplishment of artificial intelligence (AI) based techniques in automated diagnoses in the healthcare sector and rapid increase in COVID-19 cases have demanded the requirement of AI based automated diagnosis and recognition systems. This study develops an… More >

  • Open Access

    ARTICLE

    Multisensor Information Fusion for Condition Based Environment Monitoring

    A. Reyana1,*, P. Vijayalakshmi2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1013-1025, 2023, DOI:10.32604/iasc.2023.032538

    Abstract Destructive wildfires are becoming an annual event, similar to climate change, resulting in catastrophes that wreak havoc on both humans and the environment. The result, however, is disastrous, causing irreversible damage to the ecosystem. The location of the incident and the hotspot can sometimes have an impact on early fire detection systems. With the advancement of intelligent sensor-based control technologies, the multi-sensor data fusion technique integrates data from multiple sensor nodes. The primary objective to avoid wildfire is to identify the exact location of wildfire occurrence, allowing fire units to respond as soon as possible. Thus to predict the occurrence… More >

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