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  • Open Access

    ARTICLE

    A Multi-Agent System for Environmental Monitoring Using Boolean Networks and Reinforcement Learning

    Hanzhong Zheng1, Dejie Shi2,*

    Journal of Cyber Security, Vol.2, No.2, pp. 85-96, 2020, DOI:10.32604/jcs.2020.010086 - 14 July 2020

    Abstract Distributed wireless sensor networks have been shown to be effective for environmental monitoring tasks, in which multiple sensors are deployed in a wide range of the environments to collect information or monitor a particular event, Wireless sensor networks, consisting of a large number of interacting sensors, have been successful in a variety of applications where they are able to share information using different transmission protocols through the communication network. However, the irregular and dynamic environment requires traditional wireless sensor networks to have frequent communications to exchange the most recent information, which can easily generate high… More >

  • Open Access

    ARTICLE

    Interfacial Modification of Corn Stalk Cellulose Reinforced Used Rubber Powder Composites Treated with Coupling Agent

    Weili Wu*, Fengyu Chen

    Journal of Renewable Materials, Vol.8, No.8, pp. 905-913, 2020, DOI:10.32604/jrm.2020.010558 - 10 July 2020

    Abstract Corn stalk cellulose (CS)/used rubber powder (RP) composites were prepared by mixing, the silane coupling agent 3-Mercaptopropyl trimethoxysilane (KH590), r-Aminopropyltrieth oxysilane (KH550), isopropyl dioleic (dioctylphosphate) titanate (HY101) and bis-(γ-triethoxysilylpropyl)- tetrasulfide (Si69) were used to modify the interface of composites. The effects of the CS and coupling agents on the mechanical properties, thermal properties, interfacial morphology and structure of the composites were investigated, respectively. The results showed that the addition of CS could effectively improve the mechanical properties of the composites. Compared with the untreated composites, the interfacial bonding between CS and RP was significantly improved More >

  • Open Access

    ARTICLE

    Study of the Superficial Modification of Sisal Fibres with Lignin, and Its Use As a Reinforcement Agent in Cementitious Composites

    Plínio B. Mundim1, Rondinele A. R. Ferreira1, Leila A. C. Motta1, Mariana A. Henrique2, Daniel Pasquini2,*

    Journal of Renewable Materials, Vol.8, No.8, pp. 891-903, 2020, DOI:10.32604/jrm.2020.010655 - 10 July 2020

    Abstract The objective of this work was to evaluate different superficial treatments of sisal fibres employing lignin, and their use as a reinforcement agent in cementitious composites. The treatments consisted of superficially impregnating sisal fibres (S) with organosolv lignin (LO), organosolv lignin and glutaraldehyde (LOG), Kraft lignin (LK) and Kraft lignin and glutaraldehyde (LKG). The fibre modifications were verified by FTIR-ATR and SEM analyzes, and the presence of lignin on the surface of the fibres was evidenced, confirming the effectiveness of the treatments. The mechanical, thermal (by TGA) and water absorption properties of the fibres before… More >

  • Open Access

    ARTICLE

    Resource Allocation and Power Control Policy for Device-toDevice Communication Using Multi-Agent Reinforcement Learning

    Yifei Wei1, *, Yinxiang Qu1, Min Zhao1, Lianping Zhang2, F. Richard Yu3

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1515-1532, 2020, DOI:10.32604/cmc.2020.09130 - 30 April 2020

    Abstract Device-to-Device (D2D) communication is a promising technology that can reduce the burden on cellular networks while increasing network capacity. In this paper, we focus on the channel resource allocation and power control to improve the system resource utilization and network throughput. Firstly, we treat each D2D pair as an independent agent. Each agent makes decisions based on the local channel states information observed by itself. The multi-agent Reinforcement Learning (RL) algorithm is proposed for our multi-user system. We assume that the D2D pair do not possess any information on the availability and quality of the… More >

  • Open Access

    ARTICLE

    Consensus of Multi-Agent Systems with Input Constraints Based on Distributed Predictive Control Scheme

    Yueqi Hou1, Xiaolong Liang1, 2, Lyulong He1, Jiaqiang Zhang1, *, Jie Zhu3, Baoxiang Ren3

    CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1335-1349, 2020, DOI:10.32604/cmc.2020.06869

    Abstract Consensus control of multi-agent systems has attracted compelling attentions from various scientific communities for its promising applications. This paper presents a discrete-time consensus protocol for a class of multi-agent systems with switching topologies and input constraints based on distributed predictive control scheme. The consensus protocol is not only distributed but also depends on the errors of states between agent and its neighbors. We focus mainly on dealing with the input constraints and a distributed model predictive control scheme is developed to achieve stable consensus under the condition that both velocity and acceleration constraints are included More >

  • Open Access

    ARTICLE

    Maintaining Complex Formations and Avoiding Obstacles for Multi-Agents

    Yali Wang1, Youqian Feng1, Zhonghai Yin1, Cheng Zhou1, *

    CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 877-891, 2020, DOI:10.32604/cmc.2020.06423

    Abstract This paper researches some problems in complex formation for multi-agents, in which two matrices are proposed to record the formation. The pattern matrix is used to describe the pattern of the formation; meanwhile, the location matrix is used to record the location of each agent. Thus, all desired positions of each agent will be obtained by geometrical relationship on the basis of two matrices above. In addition a self-adaptation flocking algorithm is proposed to control all agents to form a desired formation and avoid obstacles. The main idea is as follows: agents will form a More >

  • Open Access

    ARTICLE

    Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing

    Weijin Jiang1, 2, 3, Yang Wang1,*, Yirong Jiang4,*, Yuhui Xu1, Jiahui Chen1, Lina Tan1, Guo Liang5

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 123-136, 2020, DOI:10.32604/cmc.2020.05933

    Abstract In mobile cloud computing, trust is a very important parameter in mobile cloud computing security because data storage and data processing are performed remotely in the cloud. Aiming at the security and trust management of mobile agent system in mobile cloud computing environment, the Human Trust Mechanism (HTM) is used to study the subjective trust formation, trust propagation and trust evolution law, and the subjective trust dynamic management algorithm (MASTM) is proposed. Based on the interaction experience between the mobile agent and the execution host and the third-party recommendation information to collect the basic trust More >

  • Open Access

    ARTICLE

    Performance Evaluation of Nucleating Agents in Polypropylene Homopolymer

    RAVI KUMAR, VISHWA PRATAP SINGH, MADHUKAR PRAJAPATI, ASHWITH, PRIYANKA SINGH, SATYAJIT SAMANTA, SAIKAT BANERJEE*

    Journal of Polymer Materials, Vol.36, No.4, pp. 323-335, 2019, DOI:10.32381/JPM.2019.36.04.3

    Abstract Types of nucleating agents and their dosage level play an important role on the crystallinity of the polymer which controls the final properties like optical clarity, stiffness and reduced cycle time during molding. In this study, the efficiency of two different types of commercially available nucleating agents, phosphate ester and dicarboxylic acid based, have been studied. Both the nucleating agents were compounded with molding grade polypropylene homopolymer having melt flow index (MFI) of 12 g/10min at 2.16 Kg and 230°C, in a co-rotating twin screw extruder at two different dosage level, i.e. 300 ppm and… More >

  • Open Access

    ARTICLE

    CuBr2/Me6 TREN Mediated ARGET ATRP of Methyl acrylate in Polyethylene Glycol

    XIANRONG SHEN1,*, DENGZHOU XIA1, YIXIN XIANG1, JIANGANG GAO1

    Journal of Polymer Materials, Vol.36, No.3, pp. 229-241, 2019, DOI:10.32381/JPM.2019.36.03.3

    Abstract ARGET ATRP of methyl acrylate (MA) with low concentration of air stable-CuBr2 catalyst was successfully carried out in green solvent polyethylene glycol (PEG) without any external reducing agent.The polymerizations of MA proceeded in a well-controlled manner as evidenced by kinetic studies, chain extension results, a linear increase of the molecular weights with the increasing of monomer conversion. and narrow molecular weight distribution (Mw/Mn =1.1). Interestingly, we found that the PEG has the reduction ability to CuBr2 and could play as supplement reducing agent cooperation with Me6 TREN to mediate ARGET ATRP. Reduction of Cu(II)Br2 to Cu(I)Br by different More >

  • Open Access

    ARTICLE

    Silencing Artemis Enhances Colorectal Cancer Cell Sensitivity to DNA-Damaging Agents

    Hai Liu*, Xuanxuan Wang*, Aihua Huang, Huaping Gao, Yikan Sun§, Tingting Jiang*, Liming Shi*, Xianjie Wu, Qinghua Dong#, Xiaonan Sun*

    Oncology Research, Vol.27, No.1, pp. 29-38, 2019, DOI:10.3727/096504018X15179694020751

    Abstract Artemis is a key protein of NHEJ (nonhomologous end joining), which is the major pathway for the repair of IR-induced DSBs in mammalian cells. However, the expression of Artemis in tumors and the influence of silencing Artemis on tumor sensitivity to radiation have not been investigated fully. In this study, we investigated how the expression levels of Artemis may affect the treatment outcome of radiotherapy and chemotherapy in colorectal cancer cells. First, we found that the expression of Artemis is strong in some human rectal cancer samples, being higher than in adjacent normal tissues using… More >

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