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  • Open Access

    ARTICLE

    Chemically Modified Sugarcane Bagasse for Innovative Bio-Composites. Part One: Production and Physico-Mechanical Properties

    Peyman Ahmadi1,*, Davood Efhamisisi1,*, Marie-France Thévenon2,3, Hamid Zarea Hosseinabadi1, Reza Oladi1, Jean Gerard2,3

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2024.054076

    Abstract Sugarcane bagasse is an agro-waste that could replace timber resources for the production of bio-composites. Composite boards such as particleboard offer an issue for the use and recycling of poor quality timber, and these engineered products can overcome some solid wood limitations such as heterogeneity and dimension. Bagasse offers an alternative to wood chips for particleboard production but present some disadvantages as well, such as poor physico-mechanical properties. To address these issues, bagasse fibers were treated with an innovative natural resin formulated with tannin and furfural. Impregnated particles with different concentrations of resin (5%, 10%,… More > Graphic Abstract

    Chemically Modified Sugarcane Bagasse for Innovative Bio-Composites. Part One: Production and Physico-Mechanical Properties

  • Open Access

    ARTICLE

    Intelligent PID Control Method for Quadrotor UAV with Serial Humanoid Intelligence

    Linlin Zhang, Lvzhao Bai, Jianshu Liang, Zhiying Qin*, Yuejing Zhao

    Computer Systems Science and Engineering, Vol., , DOI:10.32604/csse.2024.054237

    Abstract Quadrotor unmanned aerial vehicles (UAVs) are widely used in inspection, agriculture, express delivery, and other fields owing to their low cost and high flexibility. However, the current UAV control system has shortcomings such as poor control accuracy and weak anti-interference ability to a certain extent. To address the control problem of a four-rotor UAV, we propose a method to enhance the controller’s accuracy by considering underactuated dynamics, nonlinearities, and external disturbances. A mathematical model is constructed based on the flight principles of the quadrotor UAV. We develop a control algorithm that combines humanoid intelligence with… More >

  • Open Access

    ARTICLE

    Self-Attention Spatio-Temporal Deep Collaborative Network for Robust FDIA Detection in Smart Grids

    Tong Zu, Fengyong Li*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.055442

    Abstract False data injection attack (FDIA) can affect the state estimation of the power grid by tampering with the measured value of the power grid data, and then destroying the stable operation of the smart grid. Existing work usually trains a detection model by fusing the data-driven features from diverse power data streams. Data-driven features, however, cannot effectively capture the differences between noisy data and attack samples. As a result, slight noise disturbances in the power grid may cause a large number of false detections for FDIA attacks. To address this problem, this paper designs a… More >

  • Open Access

    ARTICLE

    Examining the Quality Metrics of a Communication Network with Distributed Software-Defined Networking Architecture

    Khawaja Tahir Mehmood1,2,*, Shahid Atiq1, Intisar Ali Sajjad3, Muhammad Majid Hussain4, Malik M. Abdul Basit2

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.053903

    Abstract Software-Defined Networking (SDN), with segregated data and control planes, provides faster data routing, stability, and enhanced quality metrics, such as throughput (Th), maximum available bandwidth (Bd(max)), data transfer (DTransfer), and reduction in end-to-end delay (D(E-E)). This paper explores the critical work of deploying SDN in large­scale Data Center Networks (DCNs) to enhance its Quality of Service (QoS) parameters, using logically distributed control configurations. There is a noticeable increase in Delay(E-E) when adopting SDN with a unified (single) control structure in big DCNs to handle Hypertext Transfer Protocol (HTTP) requests causing a reduction in network quality parameters (Bd(max), Th, DTransfer, D(E-E),… More > Graphic Abstract

    Examining the Quality Metrics of a Communication Network with Distributed Software-Defined Networking Architecture

  • Open Access

    ARTICLE

    Optimal Cyber Attack Strategy Using Reinforcement Learning Based on Common Vulnerability Scoring System

    Bum-Sok Kim1, Hye-Won Suk1, Yong-Hoon Choi2, Dae-Sung Moon3, Min-Suk Kim2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.052375

    Abstract Currently, cybersecurity threats such as data breaches and phishing have been on the rise due to the many different attack strategies of cyber attackers, significantly increasing risks to individuals and organizations. Traditional security technologies such as intrusion detection have been developed to respond to these cyber threats. Recently, advanced integrated cybersecurity that incorporates Artificial Intelligence has been the focus. In this paper, we propose a response strategy using a reinforcement-learning-based cyber-attack-defense simulation tool to address continuously evolving cyber threats. Additionally, we have implemented an effective reinforcement-learning-based cyber-attack scenario using Cyber Battle Simulation, which is a… More >

  • Open Access

    ARTICLE

    A Facial Expression Recognition Method Integrating Uncertainty Estimation and Active Learning

    Yujian Wang1, Jianxun Zhang1,*, Renhao Sun2

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.054644

    Abstract The effectiveness of facial expression recognition (FER) algorithms hinges on the model’s quality and the availability of a substantial amount of labeled expression data. However, labeling large datasets demands significant human, time, and financial resources. Although active learning methods have mitigated the dependency on extensive labeled data, a cold-start problem persists in small to medium-sized expression recognition datasets. This issue arises because the initial labeled data often fails to represent the full spectrum of facial expression characteristics. This paper introduces an active learning approach that integrates uncertainty estimation, aiming to improve the precision of facial… More >

  • Open Access

    ARTICLE

    Research on IPFS Image Copyright Protection Method Based on Blockchain

    Xin Cong, Lanjin Feng*, Lingling Zi

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.054372

    Abstract In the digital information age, distributed file storage technologies like the InterPlanetary File System (IPFS) have gained considerable traction as a means of storing and disseminating media content. Despite the advantages of decentralized storage, the proliferation of decentralized technologies has highlighted the need to address the issue of file ownership. The aim of this paper is to address the critical issues of source verification and digital copyright protection for IPFS image files. To this end, an innovative approach is proposed that integrates blockchain, digital signature, and blind watermarking. Blockchain technology functions as a decentralized and… More >

  • Open Access

    ARTICLE

    Faster AMEDA—A Hybrid Mesoscale Eddy Detection Algorithm

    Xinchang Zhang1, Xiaokang Pan2, Rongjie Zhu3, Runda Guan2, Zhongfeng Qiu4, Biao Song5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.054298

    Abstract Identification of ocean eddies from a large amount of ocean data provided by satellite measurements and numerical simulations is crucial, while the academia has invented many traditional physical methods with accurate detection capability, but their detection computational efficiency is low. In recent years, with the increasing application of deep learning in ocean feature detection, many deep learning-based eddy detection models have been developed for more effective eddy detection from ocean data. But it is difficult for them to precisely fit some physical features implicit in traditional methods, leading to inaccurate identification of ocean eddies. In… More >

  • Open Access

    COMMENTARY

    Redefining the tumor microenvironment with emerging therapeutic strategies

    SULING XU1, XIAO LI2, WENXUE MA3,*

    Oncology Research, Vol., , DOI:10.32604/or.2024.055161

    Abstract The environment surrounding a tumor, known as the tumor microenvironment (TME), plays a role in how cancer progresses and responds to treatment. It poses both challenges and opportunities for improving cancer therapy. Recent progress in understanding the TME complexity and diversity has led to approaches for treating cancer. This perspective discusses the strategies for targeting the TME, such as adjusting networks using extracellular vesicles to deliver drugs and enhancing immune checkpoint inhibitors (ICIS) through combined treatments. Furthermore, it highlights adoptive cell transfer (ACT) therapies as an option for tumors. By studying how components of the More >

  • Open Access

    ARTICLE

    Piperlongumine in combination with EGFR tyrosine kinase inhibitors for the treatment of lung cancer cells

    SHAIL RAKESH MODI, TERRICK ANDEY*

    Oncology Research, Vol., , DOI:10.32604/or.2024.053972

    Abstract Objectives: EGFR tyrosine kinase inhibitor (EGFR-TKI) therapies such as erlotinib and gefitinib are approved for the treatment of non-small cell lung cancer (NSCLC). However, the high incidence of acquired resistance to these EGFR-TKIs may preclude their effectiveness. Piperlongumine (PPL), an extract from the long pepper fruit (Piper longum), has been shown to possess anticancer properties. The purpose of the study was to investigate piperlongumine as an anticancer agent and to study a combination treatment approach with EGFR-TKIs against lung cancer cells. Methods: Anticancer efficacy of PPL, erlotinib (ERL), gefitinib (GEF), and cisplatin (CIS) were investigated in… More >

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