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Your search keyword '"Xu, Siyang"' showing total 150 results
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150 results on '"Xu, Siyang"'

4. Specific Emitter Identification Method Based on Aggregation Model with Metric Learning in Complex Field

Author

Xu, Siyang, Wang, Ruokun, Zhu, Qinghao, Wu, Xiaodong, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Yadav, Sanjay, editor, Arya, Yogendra, editor, Pandey, Shailesh M., editor, Gherabi, Noredine, editor, and Karras, Dimitrios A., editor

Published
2024
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29. Effect of Pipe Materials and Interspecific Interactions on Biofilm Formation and Chlorine Resistance: Turn Enemies into Friends.

Author

Shan, Lili, Pei, Yunyan, Xu, Siyang, Cui, Yuhong, Liu, Zhengqian, Zhu, Zebing, and Yuan, Yixing

Subjects
MICROBIAL contamination, WATER distribution, GENTIAN violet, CAST-iron, DRINKING water
Abstract

Drinking water distribution systems (DWDSs) may be contaminated to various degrees when different microorganisms attach to the pipe walls. Understanding the characteristics of biofilms on pipe walls can help prevent and control microbial contamination in DWDSs. The biofilm formation, interspecific interactions, and chlorine resistance of 10 dual-species biofilms in polyethylene (PE) and cast iron (CI) pipes were investigated in this paper. The biofilm biomass (heterotrophic bacterial plate count and crystal violet) of dual species in CI pipes is significantly higher than that in PE pipes, but the biofilm activity in CI pipes is significantly lower than that in PE pipes. The interspecific interaction of Sphingomonas-containing group presented synergistic or neutral relationship in PE pipes, whereas the interspecific interaction of the Acidovorax-containing group showed a competitive relationship in CI pipes. Although interspecific relationships may help bacteria resist chlorine, the chlorine resistance was more reliant on dual-species groups and pipe materials. In CI pipes, the Microbacterium containing biofilm groups showed better chlorine resistance, whereas in PE pipes, most biofilm groups with Bacillus exhibited better chlorine resistance. The biofilm groups with more extracellular polymeric substance (EPS) secretion showed stronger chlorine resistance. The biofilm in the PE pipe is mainly protected by EPS, while both EPS and corrosion products shield the biofilms within CI pipe. These results supported that dual-species biofilms are affected by pipe materials and interspecific interactions and provided some ideas for microbial control in two typical pipe materials. [ABSTRACT FROM AUTHOR]

Published
2024
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31. SD-Jaya Based Multi-Objective Optimization Algorithm for IRS-Aided Air-to-Ground Task Offloading in Charging Electric Vehicle Networks

Author

Song, Xin, Wang, Yu, Xu, Siyang, Zhang, Runfeng, Zhang, Yuqi, and Xie, Zhigang

Abstract

The integration of electric vehicles (EVs) into the power grid has led to a significant increase in load demand. However, the absence of efficient edge computing services for charging EVs poses challenges to the grid's safe and stable operation. Our study proposes an intelligent reflective surface (IRS)-assisted air-to-ground task offloading network for charging EVs that utilizes tethered unmanned aerial vehicles (tUAVs) equipped with IRS for task transmission to provide efficient edge computing services. The network architecture includes single-IRS and double-IRS links to enhance communication efficiency, while EVs are equipped with Network in Box (NIB) units to provide flexible computing power. We formulate a multi-objective optimization problem aimed at minimizing transmission obstacle, power purchase cost, transmission delay, and failure rate in the network. Since the optimization problem is NP-hard, we propose an improved Self-Learning Discrete Jaya (SD-Jaya) algorithm which finds the offloading strategy using historical knowledge and the selection of strategy-related operators. Moreover, we develop a novel tournament-based algorithm to select the Pareto layer in the multi-objective problem. Simulation results show that the proposed algorithm is able to find better non-dominated solutions. The power purchase cost of the proposed scheme is 43$\%$ and 54$\%$ lower than that of the single-IRS scheme and the local scheme, respectively.

Published
2024
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