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4th International Computational Imaging Conference, CITA 2024

作者： Li, Ruiyan Du, Rui Mei, Ying Yang, Xiaojun Wu, Huajie Wang, Yifan Tian, Xuechao Beijing Institute of Aerospace Control Devices Beijing Engineering Research Center of Optical Fiber Sensing System No.1 Fengying East Road Haidian District Beijing100094 China Defense Engineering Institute AMS PLA Beijing100850 China

ISBN: (纸本)9781510688834

Convergence deformation is an important indicator in the health monitoring of engineering structures. It is very difficult to use existing technologies to carry out continuous and large-scale convergence deformation monitoring of engineering structures. In order to solve the problems of difficult installation and wiring, short transmission distance, point-to-point measurement, susceptibility to interference, and low degree of automation in existing monitoring technologies, this paper conducts an experimental study on the convergence deformation of engineering structures based on distributed optical fiber sensing technology. In this paper, a distributed optical fiber strain sensor and a segment model test device suitable for the convergence deformation of engineering structures are designed, and a distributed Brillouin optical fiber sensing system is built. Based on the inversion calculation method of bending deformation, the convergence deformation of the segment model is measured to verify the feasibility of the application of distributed optical fiber sensing technology in the monitoring of convergence deformation of engineering structures. The experimental results show that the convergence deformation of the segment model measured by the distributed optical fiber sensing system is almost consistent with the input deformation, with a convergence measurement accuracy of 2.62 mm and a positioning accuracy of 0.46 m. While achieving high-precision measurement of the convergence deformation of the segment model, it also achieves accurate positioning of the convergence deformation. It is verified that distributed optical fiber sensing technology can realize high-precision, long-distance, real-time online, and automated measurement of the convergence deformation of engineering structures, and is an important technical means for the monitoring of convergence deformation of large-scale engineering structures in the future. © 2025 SPIE.

关键词： Optical fibers

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Seasonal changes of chemodiversity along with microbial succession in a municipal wastewater treatment plant

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Journal of Environmental sciences 2025年第4期150卷 318-331页

作者： Yunwei Cui Junya Zhang Luoyao Wen Jibao Liu Zhineng Hao Chunzhong Wei Yanbo Jiang Yuansong Wei Peihong Shen College of Life Science and Technology Guangxi UniversityNanning 530005China State Key Joint Laboratory of Environmental Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Guangxi Beitou Environmental Protection&Water Group Co. LTD.Nanning 530025China

The relationship between chemodiversity and microbial succession in wastewater treatment plants(WWTPs)is highly intricate and *** specific contribution of the microbial community to changes in the composition of dissolved organic matter(DOM)within different biological treatment units remains unclear,as does the reciprocal influence of DOM composition on microbial *** this study,spectroscopy((Excitationemission matrix)EEM-PARAFAC,Ultraviolet(UV)-spectrum,Fourier transform infrared spectrometer(FT-IR)),Liquid chromatograph mass spectrometer(LC–MS)and Fourier transform ion cyclotron resonance(FT-ICR)MS along with high-throughput sequencing technology were used to explore the relationship between chemodiversity and microbial succession in WWTPs concerning seasonal *** results showed that WWTPs with anaerobic/anoxic/oxic(A2O)processes can metabolize and transformmost of thewastewater DOM,and the anaerobic unit has the highest removal rate for fluorescence DOM(FDOM,14.07%-64.43%);the anaerobic unit increased aliphatic/proteins and lignin-like molecules but decreased relative intensity,while the anoxic unit removed unsaturated hydrocarbons,aromatic structures,and lignin-like *** impact of seasonal changes on the composition and removal of FDOM and DOM in wastewater treatment is significant,and the variations that occur during different seasons affect microbial activity,as well as the production,degradation,and transformation of organic compounds throughout thewastewater treatment *** analysis shows that Parcubacteria_genera_incertae_sedis plays a crucial role in DOM chemodiversity,highlighting the crucial contribution of microbial com-munities to both the structure and operation of the entire DOM *** results in this study could provide some theoretical and practical basis for guiding the process optimiza-tion of WWTPs.

关键词： Wastewater treatment plant Dissolved organic matter Fourier transform ion cyclotron resonance mass spectrometry Chemodiversity Microbial community

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Combination of facial and nose features of Amur tigers to determine age

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Integrative Zoology 2025年第1期20卷 186-198页

作者： Caiping ZHAO Wenrui DAI Qiang LIU Dongqi LIU Nathan James ROBERTS Zhaoli LIU Ming GONG Hongkun QIU Changhai LIU Dan LIU Guangkai MA Guangshun JIANG Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected AreaNortheast Forestry UniversityHarbinP.R.China Research Center for Northeast Asia Biodiversity Conservation HarbinP.R.China College of Computer and Control Engineering Northeast Forestry UniversityHarbinP.R.China Heilongjiang Siberia Tiger Park HarbinHeilongjiangP.R.China

INTRODUCTION For a given population,only when the individual age is known can we understand the population age structure,evaluate the population stability,speculate on the future development trend of the population,and formulate reasonable animal management approaches(Coulson et al.2001).The Amur tiger(Panthera tigris altaica)is the largest subspecies of tiger and is mainly distributed in the southeast of Russia at present,while there are also a small number of individuals living in the border region of China,Russia,and North Korea in the northeast of China(Qi et al.2020).Age determination of Amur tigers is required for conservation strategy design,prioritization,and allocation of resources,as well as for evaluating the success of conservation *** is very difficult to determine the age of tiger individuals in the wild.

关键词： Panthera southeast northeast

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Robust Multi-agent Federated Reinforcement Learning for Task Offloading 7th

Robust Multi-agent Federated Reinforcement Learning for Task...

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7th International Conference on Wireless Communications, Networking and Applications, WCNA 2023

作者： Yan, Dibao Wang, Yongfeng Hou, Wenjing Song, Huanhuan Wen, Hong Ma, Wendi Sun, Fan School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Sichuan Intelligent IoT Communication Technology Engineering Research Center UESTC Chengdu China

ISBN: (纸本)9789819624089

With the proliferation of various mobile smart devices, edge computing and computational offloading technologies have emerged as pivotal support mechanisms, enhancing the service quality of these devices. To facilitate the learning of task offloading strategies across diverse and complex scenarios, this study introduces a federated learning strategy algorithm based on multi-agent deep reinforcement learning. This algorithm aims to aggregate the training strategies of multiple edge computing devices, thereby enabling the synthesis of superior task offloading strategies tailored to a wide array of environments while also providing safeguards against malicious nodes. This paper specifically examines the reward inversion attack, illustrating the algorithm’s capability to identify and counteract such malicious threats effectively. Experimental results validate that the proposed algorithm not only robustly defends against these attacks but also adeptly learns the task offloading strategies pertinent to each node. © The Author(s) 2025.

关键词： Federated learning

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Digital Twins and the Problem of Distributed Data Storage

Digital Twins and the Problem of Distributed Data Storage

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Alexander V. Solovyev Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russian Federation

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

The article demonstrates the fundamental possibility to solve the problem of digital twins data storage and processing in a distributed digital industrial platform. This problem originates from the fact that a digital twin in the digital economy and Industry 4.0 should be, on the one hand, quickly accessible and on the other hand, properly protected from intentional or unintentional distortions. In the article, we review the variants of digital twin data storage in the conditions of Industry 4.0, and provide the requirements to the data of digital twins. Besides, the requirements for digital twins' data storage systems in the conditions of Industry 4.0 are formulated. Such requirements, in particular, include distributed storage, strong consistency between digital twins' data and the real object, high speed of data processing. The review of modern database management systems belonging to the class of NewSQL solutions is made. The article shows that these solutions can be applied to solve the problem of digital twins distributed data storage in industry 4.0. The direction of further research is defined.

关键词： Hands Industries Reviews Memory Distortion Database systems Real-time systems Digital twins Fourth Industrial Revolution Reliability

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Adaptive Communication Spectrum Sensing Algorithm Based on Energy Detection 7th

Adaptive Communication Spectrum Sensing Algorithm Based on E...

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7th International Conference on Wireless Communications, Networking and Applications, WCNA 2023

作者： Shi, Weihong Tang, Tao Zhao, Runhui Wen, Hong Feng, Xuewei School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Sichuan Intelligent loT Communication Technology Engineering Research Center UESTC Chengdu China

ISBN: (纸本)9789819624089

Based on the traditional energy detection algorithm, an adaptive communication spectrum sensing algorithm based on energy detection is proposed for signals whose noise power is difficult to be estimated accurately. The algorithm takes into account the problem of large error in calculating the energy detection judgment threshold by noise power when the estimated value of noise power is inaccurate, and is able to perform adaptive communication spectrum sensing for signals with less a priori information and noise power that cannot be estimated accurately. Simulation results show that the adaptive communication spectrum sensing algorithm based on energy detection can effectively improve the performance of spectrum sensing for signals, and the algorithm can effectively detect and sense signals under the condition of reasonable setting of judgment coefficients. © The Author(s) 2025.

关键词： Adaptive Cognitive radio Energy detection Spectrum sensing

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An Offline Learning-Based Anti-interference Communication Scheme for UAV Networks 7th

An Offline Learning-Based Anti-interference Communication Sc...

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7th International Conference on Wireless Communications, Networking and Applications, WCNA 2023

作者： Tang, Tao Zhao, Runhui Wen, Hong Feng, Xuewei Shi, Weihong Peng, Yulin School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province Chengdu611731 China Sichuan Intelligent IoT Communication Technology Engineering Research Center UESTC Chengdu China

ISBN: (纸本)9789819624089

Unmanned Aerial Vehicles (UAV) face challenges from advanced interference technologies, making them susceptible to malicious node attacks, data interception, and tampering. Traditional anti-interference decisions have limitations, as they cannot adaptively adjust to changes in interference signals. Moreover, anti-interference communication models based on Deep Reinforcement Learning (DRL) require prolonged interactions with the environment, demanding high requirements for anti-interference environments. This paper investigates an offline anti-interference decision based on Decision-Transformers, which can quickly and stably acquire practical anti-interference decision models. Simulation experiments have verified the effectiveness of this algorithm in making anti-interference decisions under AWGN and fading channel conditions. Furthermore, this offline approach can achieve the expected reward targets with fewer training iterations. © The Author(s) 2025.

关键词： Deep reinforcement learning

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Wave-pulse mixing coupled with powdered activated carbon enhances AnMBR in treating low temperature municipal wastewater and recovering dissolved CH4

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Water research 2025年 282卷 123667页

作者： Zhao, Peiyi Li, Ziyue Chen, Ai Liu, Yongze Qu, Fangshu Qu, Dan Liu, Xinying Beijing Key Laboratory for Source Control Technology of Water Pollution Engineering Research Center for Water Pollution Source Control and Eco-remediation College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China Guangzhou University School of Civil and Transportation Engineering Guangzhou510006 China

The anaerobic membrane bioreactor (AnMBR) technology is increasingly applied in the treatment of municipal wastewater. However, its application in cold region still faces many challenges including low anaerobic digestion efficiency and high concentrations of dissolved methane (D-CH4). In this study, powdered activated carbon (PAC) was incorporated into AnMBR operated under wave-pulse mixing mode (P-W-AnMBR) to enhance the operational performance under low temperature condition. As temperature decreased and organic loading rate (OLR) elevated, the COD removal efficiency in the P-W-AnMBR maintained at a high level (93.4 %∼95.8 %) and exhibited favorable stability. The P-W-AnMBR could effectively prevent volatile fatty acid (VFA) accumulation with the lowest VFA concentrations of 22.0 ± 3.9 mg·L-1. Correspondingly, the methane yield in P-W-AnMBR system reached high as 0.22 ± 0.04 L·g-1 which was 1.5 times of that in conventional biogas-recirculation mixing AnMBR (B-AnMBR), while the D-CH4 supersaturation was only ∼1.05, showing a 52.4 % decrease compared to B-AnMBR. According to higher electron transfer system activity and Cyt-C content, electron transfer process was enhanced in P-W-AnMBR, accounting for superior organics conversion to methane. Through a high average KLa as 4.50 h⁻¹, the D-CH4 readily transfer to the gas phase, thereby reducing the concentration of D-CH4 as well as increasing the proportion of gaseous methane. Energy analysis showed generation of methane energy could be augmented in P-W-AnMBR as OLR was elevated at 15 °C, thereby significantly reducing the net energy consumption. The combination of wave-pulse mixing and conductive PAC within AnMBR provides insights into low temperature resource recovery from municipal wastewater. © 2025 Elsevier Ltd

关键词： Biodegradation

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Triply Heavy Tetraquark Spectroscopy

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Physics of Atomic Nuclei 2025年第1期88卷 124-129页

作者： Galkin, V. O. Savchenko, E. M. Federal Research Center ‘‘Computer Science and Control ’’ Russian Academy of Sciences Moscow Russia Lomonosov Moscow State University Moscow Russia

Masses of the ground and orbitally excited states of triply heavy tetraquarks with one open heavy flavor are calculated within the relativistic quark model, based on the quasipotential approach and QCD. Tetraquark is treated as a bound state of the nonobservable nonpointlike diquark and antidiquark. The relativistic quasipotential equation takes into account all relativistic corrections (both spin-dependent and spin-independent) and the internal structure of the diquarks via the insertion of calculated diquark–gluon form factors. The obtained masses of tetraquarks are compared with the strong fall-apart decay thresholds into a pair of heavy and heavy-light mesons. The states that lie slightly above or under such thresholds and thus could be observed as narrow resonances in other decay modes are identified.

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Exclusive Semileptonic Decays of Mesons into Orbitally Excited States of Strange Mesons

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Physics of Atomic Nuclei 2025年第1期88卷 130-136页

作者： Galkin, V. O. Sukhanov, I. S. Federal Research Center ‘‘Computer Science and Control’’ Russian Academy of Sciences Moscow Russia Lomonosov Moscow State University Moscow Russia

Semileptonic decays of $$D$$ mesons into orbitally excited states of strange mesons are studied in the framework of the relativistic quark model based on the quasipotential approach and quantum chromodynamics. Form factors parameterizing matrix elements of the weak current between meson states are calculated with the consistent account of relativistic effects. Their dependence on the square of the transferred momentum is explicitly determined in the whole accessible kinematic region. On the basis of these form factors and helicity formalism, differential and total semileptonic decay rates of $$D$$ mesons are calculated. The detailed comparison of the obtained results with other theoretical calculations and experimental data is given.

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