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      • Reliability Evaluation and Optimization Method in Power Communication Network Based on Environmental Factors and Controlled Hybrid Stochastic Petri Net

        Huilin Liu,YuCheng Ma,Xushan Chen,Meng Zhou,Shiyou Chen 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09

        The reliability of the power communication network is important to the stable operation of the power grid. Existing studies on the reliability evaluation of power communication networks rarely consider the factors of environmental changes. In fact, changes in the working environment of power service routing will affect the normal operation of the network. This paper studies the reliability evaluation method of power communication network based on environmental factors. The normal cloud model method is used to model the multiple environmental factors in the power communication network, and a controlled hybrid stochastic petri network is used to model and analyze the power transmission system with backup route. In simulation experiments, we compare our algorithm with the contrast algorithm that not considering the impact of environmental factors. The results show that our algorithm can well reflect the impact of changes in environmental factors on the reliability of the system, and more in line with the actual reliability changes of the power service transmission system.

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        Dominant genera of cyanobacteria in Lake Taihu and their relationships with environmental factors

        Lijun Feng,Shiyou Liu,Wenxian Wu,Jiawen Ma,Pei Li,Hailing Xu,Na Li,Yaoyu Feng 한국미생물학회 2016 The journal of microbiology Vol.54 No.7

        Cyanobacterial blooms in freshwaters have become one of the most widespread of environmental problems and threaten water resources worldwide. Previous studies on cyanobacteria in Lake Taihu often collected samples from one site (like Meiliang Bay or Zhushan Bay) and focused on the variation in patterns or abundance of Microcystis during the blooming season. However, the distribution of cyanobacteria in Lake Taihu shows differing pattern in various seasons. In this study, water samples were collected monthly for one year at five sites in Lake Taihu with different trophic status and a physicochemical analysis and denaturing gradient gel electrophoresis (DGGE) were conducted. DGGE fingerprint analysis showed that Microcystis (7/35 bands) and Synechococcus (12/35 bands) were the two most dominant genera present during the study period at all five sites. Cyanobium (3/35 bands) was the third most common genus which has seldom been previously reported in Lake Taihu. Redundancy analysis (RDA) indicated that the cyanobacterial community structure was significantly correlated with NO3 --N, CODMn, and NH4 +-N in the winter and spring, whereas it was correlated with water temperature in the summer and autumn. Limiting the nutrient input (especially of N and C loading) in Lake Taihu would be a key factor in controlling the growth of different genera of cyanobacteria.

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        Polar poly(n‑butyl acrylate)‑g‑polyacrylonitrile elastomer with high temperature elasticity and healability as flexible electronic substrate

        Yuzhu Zheng,Deli Xu,Shiyou Tian,Manli Li,Wenwen Wang,Ke Liu 한국의류학회 2021 Fashion and Textiles Vol.8 No.1

        In this work, graft copolymer poly (n-butyl acrylate)-g-polyacrylonitrile with poly (n-butyl acrylate) as backbones and polyacrylonitrile as side chains (PnBA-g-PAN) was synthesized by macromonomer method and emulsion polymerization. The macromonomer was synthesized by atom transfer radical polymerization and end-group modification. The chemical structures and thermal properties of macromonomer and graft copolymer were investigated by FTIR, GPC, NMR and TGA, etc. The mechanical properties of graft copolymer elastomer was also measured by uniaxial tensile test. Rheological properties at different temperature and mechanical property demonstrated that graft copolymer elastomer possessed elasticity until 180 oC because of cyclization of cyano groups. Ag nanowires@PnBA-g-PAN composite elastomer was developed, and the resulted material exhibited autonomic healing property on account of segments’ flexibility and dynamic interaction between Ag nanowires (AgNWs) and cyano groups. This is a general method for generation of elastomer with high temperature elasticity and fast self-healing. The composite elastomer has potential application in flexible electronic conductor.

      • Design and simulation of self-organizing network routing algorithm based on Q-learning

        Yuejia Dou,Huilin Liu,Liangkang Wei,Shiyou Chen 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09

        With the continuous advancement of computer network communication technology, traditional wired and wireless networks are limited by cables and base stations, and are not applicable in some application scenarios. Therefore, mobile wireless communication methods have attracted more and more attention. Due to its dynamic topology and self-organizing without center, the self-organizing network can form a mobile temporary multi-hop mobile communication network through multiple wireless communication devices, which can well meet the above requirements. At present, research on self-organizing networks mainly focuses on routing protocols. The main types are based on network topology information and location information. This paper designs a routing algorithm based on link reliability. The algorithm fully considers the self-organizing network link information, and models the node"s sending and receiving work as a Markov decision process, and uses Q-learning to demodulate. This article used NS2 for network simulation and analysis and comparison of performance indicators with traditional routing algorithms.

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