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  • Open Access

    ARTICLE

    A Robust Single-Sensor MPPT Strategy for Shaded Photovoltaic-Battery System

    A. N. M. Alahmadi1, Hegazy Rezk2,3,*

    Computer Systems Science and Engineering, Vol.37, No.1, pp. 63-71, 2021, DOI:10.32604/csse.2021.015029

    Abstract A robust single-sensor global maximum power point tracking (MPPT) strategy based on modern optimization for photovoltaic systems considering shading conditions is proposed in this work. The proposed strategy is designed for battery charging applications and direct current (DC) microgrids. Under normal operation, the curve of photovoltaic (PV) output power versus PV voltage contains only a single peak point. This point can be simply captured using any traditional tracking method like perturb and observe. However, this situation is completely different during the shadowing effect where several peaks appear on the power voltage curve. Most of these peaks are local with only… More >

  • Open Access

    ARTICLE

    RP-NBSR: A Novel Network Attack Detection Model Based on Machine Learning

    Zihao Shen1,2, Hui Wang1,*, Kun Liu1, Peiqian Liu1, Menglong Ba1, MengYao Zhao3

    Computer Systems Science and Engineering, Vol.37, No.1, pp. 121-133, 2021, DOI:10.32604/csse.2021.014988

    Abstract The rapid progress of the Internet has exposed networks to an increased number of threats. Intrusion detection technology can effectively protect network security against malicious attacks. In this paper, we propose a ReliefF-P-Naive Bayes and softmax regression (RP-NBSR) model based on machine learning for network attack detection to improve the false detection rate and F1 score of unknown intrusion behavior. In the proposed model, the Pearson correlation coefficient is introduced to compensate for deficiencies in correlation analysis between features by the ReliefF feature selection algorithm, and a ReliefF-Pearson correlation coefficient (ReliefF-P) algorithm is proposed. Then, the Relief-P algorithm is used… More >

  • Open Access

    ARTICLE

    Anomaly Detection in ICS Datasets with Machine Learning Algorithms

    Sinil Mubarak1, Mohamed Hadi Habaebi1,*, Md Rafiqul Islam1, Farah Diyana Abdul Rahman, Mohammad Tahir2

    Computer Systems Science and Engineering, Vol.37, No.1, pp. 33-46, 2021, DOI:10.32604/csse.2021.014384

    Abstract An Intrusion Detection System (IDS) provides a front-line defense mechanism for the Industrial Control System (ICS) dedicated to keeping the process operations running continuously for 24 hours in a day and 7 days in a week. A well-known ICS is the Supervisory Control and Data Acquisition (SCADA) system. It supervises the physical process from sensor data and performs remote monitoring control and diagnostic functions in critical infrastructures. The ICS cyber threats are growing at an alarming rate on industrial automation applications. Detection techniques with machine learning algorithms on public datasets, suitable for intrusion detection of cyber-attacks in SCADA systems, as… More >

  • Open Access

    ARTICLE

    A Generative Adversarial Networks for Log Anomaly Detection

    Xiaoyu Duan1, Shi Ying1,*, Wanli Yuan1, Hailong Cheng1, Xiang Yin2

    Computer Systems Science and Engineering, Vol.37, No.1, pp. 135-148, 2021, DOI:10.32604/csse.2021.014030

    Abstract Detecting anomaly logs is a great significance step for guarding system faults. Due to the uncertainty of abnormal log types, lack of real anomaly logs and accurately labeled log datasets. Existing technologies cannot be enough for detecting complex and various log point anomalies by using human-defined rules. We propose a log anomaly detection method based on Generative Adversarial Networks (GAN). This method uses the Encoder-Decoder framework based on Long Short-Term Memory (LSTM) network as the generator, takes the log keywords as the input of the encoder, and the decoder outputs the generated log template. The discriminator uses the Convolutional Neural… More >

  • Open Access

    EDITORIAL

    Special Issue on 15th Brazilian Polymer Conference: Biopolymers, Eco-Friendly and Biodegradable Polymers and Other Topics Related to Polymeric Materials Derived from Renewable Materials

    Antonio Aprigio da Silva Curvelo1, Antonio José Felix Carvalho2,*, Daniel Pasquini3

    Journal of Renewable Materials, Vol.9, No.4, pp. 599-600, 2021, DOI:10.32604/jrm.2021.015335

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Removal of Cu(II), Pb(II), Mg(II), and Fe(II) by Adsorption onto Alginate/Nanocellulose Beads as Bio-Sorbent

    Ragab E. Abou-Zeid1, Korany A. Ali2, Ramadan M. A. Gawad2, Kholod H. Kamal3, Samir Kamel1, Ramzi Khiari4,5,6,*

    Journal of Renewable Materials, Vol.9, No.4, pp. 601-613, 2021, DOI:10.32604/jrm.2021.014005

    Abstract

    Alginate blended with cellulose nanocrystals (CNC), cellulose nanofibers (CNF), and tri-carboxylate cellulose nanofibers (TPC-CNF) prepared and encapsulated in the form of microcapsules (bio-polymeric beads). The cellulosic nanomaterials that used in this study were investigated as nanomaterials for wastewater treatment applications. Batch experiments were performed to study the removal of copper, lead, magnesium, and iron from aqueous solutions by the prepared beads. The effects of the sorbent dosage and the modified polymers on the removing efficiency of the metal cations were examined. Atomic absorption was used to measure the metal ions concentrations. The modified bio-polymeric beads (Alg-CNF, Alg-CNC, and Alg-TPC-CNF) exhibited… More >

  • Open Access

    ARTICLE

    Effects of Steam Heat-Treatment on Properties of Pinus massoniana Wood and Its Bonding Performance

    Meifen Tian1,#, Bengang Zhang2,#, Zhigang Wu1,2,*, Liping Yu1,*, Lifen Li1, Xuedong Xi2,3

    Journal of Renewable Materials, Vol.9, No.4, pp. 789-801, 2021, DOI:10.32604/jrm.2021.013844

    Abstract Pinus massoniana wood was modified by steam heat-treatment at 160°C, 180°C, 200°C and 220°C respectively and effects of the changes of density, pH, surface wettability and apparent morphology of Pinus massoniana heat-treated wood on its bonding performance were studied in this paper. The results showed that Pinus massoniana wood underwent a series of physical and chemical changes during heat-treatment as the the following: (1) The degradation of hemicellulose and cellulose with low degree of polymerization, degradation and migration of the extract resulting in the decline of density and pH of heat-treated Pinus massoniana wood. (2) Brittle fracture occured on the… More >

  • Open Access

    ARTICLE

    Function of Palm Fiber in Stabilization of Alluvial Clayey Soil in Yangtze River Estuary

    Jili Qu*, Hao Zhu*

    Journal of Renewable Materials, Vol.9, No.4, pp. 767-787, 2021, DOI:10.32604/jrm.2021.013816

    Abstract Palm fiber is one of the favorable materials used in stabilization of soft soil in geotechnical engineering projects in recent years due to its nature of sustainability, no harm to the environment, biodegradability, availability and cost-effectiveness in the context of widespread appeal from the world for returning to nature and protecting the earth our homestead. This paper is aimed at exploring the mechanical performance of Shanghai clayey soil reinforced with palm fiber. The unconfined compressive tests are carried out on samples treated with palm fibers of different lengths and contents, and the unconfined compressive strength (UCS), ductility rate (DR), secant… More >

  • Open Access

    ARTICLE

    Tensile Behavior of Strain Hardening Cementitious Composites (SHCC) Containing Reactive Recycled Powder from Various C&D Waste

    Ruixue Wu1, Tiejun Zhao1, Peng Zhang1, Dingyi Yang2, Miao Liu2, Zhiming Ma2,*

    Journal of Renewable Materials, Vol.9, No.4, pp. 743-765, 2021, DOI:10.32604/jrm.2021.013669

    Abstract

    This work investigates the feasibility of utilizing reactive recycled powder (RP) from construction and demolition (C&D) waste as supplementary cementitious material (SCM) to achieve a ductile strain hardening cementitious composites (SHCC). The recycled mortar powder (RMP) from mortar waste, recycled concrete powder (RCP) from concrete waste and recycled brick powder (RBP) from clay brick waste were first prepared, and the micro-properties and tensile behavior of SHCC containing various types and replacement ratios of RPs were determined. The incorporated RP promotes pozzolanic and filler effects, while the hydration products in cementitious materials decrease with RP incorporation; therefore, the incorporated RP decreases… More >

  • Open Access

    ARTICLE

    Analysis on Pore Structure of Non-Dispersible Underwater Concrete in Saline Soil Area

    Fang Liu1, Baomin Wang2,*, Mengsai Wang2, Xiaosa Yuan1

    Journal of Renewable Materials, Vol.9, No.4, pp. 723-742, 2021, DOI:10.32604/jrm.2021.013664

    Abstract

    In this paper, mercury intrusion porosimetry (MIP) is used to test the pore structure of non-dispersible underwater concrete so as to study the influence of pouring and curing environment, age and slag powder on the pore characteristics of concrete, analyze the pore characteristics, porosity and pore distribution of concrete in different hydration stages, and reveal the relationship between pore structure and permeability of concrete. The results show that the pore-size distribution of concrete in fresh water condition is better than that in sulfate environment and mixed salt environment, and therefore, sulfate as well as mixed salt are not conducive to… More >

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