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第四届能源与环境研究进展国际学术会议（ICAEER 2019）

作者： Heng-jie LI Zhen QIAO Wei CHEN Xian-qiang ZENG Long WU College of electrical and information engineering Lanzhou university of technology Key laboratory0 of advanced industrial process control in Gansu province Lanzhou university of technology electrical and control engineering national experimental teaching demonstration center

In order to solve the problem of high energy consumption of public buildings and optimize and improve energy conservation of public buildings, we built a building energy consumption prediction model based on NAR neural network prediction technology improved by BP neural network algorithm, and the energy consumption value is predicted. The large public buildings as the research object, the key factors to determine the effect of building energy consumption and collect the corresponding data processing, as the input parameters of neural network prediction public buildings energy consumption value, according to the actual situation will eventually NAR prediction of neural network and BP network prediction method and the comparative analysis the measured data. The results show that NAR neural network can predict the energy consumption of public buildings more accurately than BP neural network under different building parameters.

关键词： Research On Public Building Energy Consumption Prediction Method Based On NAR Neural Network Prediction technology NAR

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Multiple residual dense networks for reconfigurable intelligent surfaces cascaded channel estimation

arXiv

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arXiv 2021年

作者： Jin, Yu Zhang, Jiayi Huang, Chongwen Yang, Liang Xiao, Huahua Ai, Bo Wang, Zhiqin The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China Zhejiang Provincial Key Lab of Information Processing Communication and Networking Zhejiang University Hangzhou310007 China College of Computer Science and Electronic Engineering Hunan University Changsha410082 China ZTE Corporation State Key Laboratory of Mobile Network Mobile Multimedia Technology Shenzhen518057 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China China Academy of Information and Communications Technology Beijing100191 China

Reconfigurable intelligent surface (RIS) constitutes an essential and promising paradigm that relies programmable wireless environment and provides capability for space-intensive communications, due to the use of low-cost massive reflecting elements over the entire surfaces of man-made structures. However, accurate channel estimation is a fundamental technical prerequisite to achieve the huge performance gains from RIS. By leveraging the low rank structure of RIS channels, three practical residual neural networks, named convolutional blind denoising network, convolutional denoising generative adversarial networks and multiple residual dense network, are proposed to obtain accurate channel state information, which can reflect the impact of different methods on the estimation performance. Simulation results reveal the evolution direction of these three methods and reveal their superior performance compared with existing benchmark schemes. Copyright © 2021, The Authors. All rights reserved.

关键词： Channel estimation

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A Two-step 2-D DOA Estimation Algorithm Via Underwater Acoustic Vector-Sensor Array

A Two-step 2-D DOA Estimation Algorithm Via Underwater Acous...

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IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

作者： Xueyan Han Meiqin Liu Senlin Zhang State Key Laboratory of Industrial Control Technology Zhejiang University College of Electrical Engineering Zhejiang university Hangzhou China College of Electrical Engineering Zhejiang university Hangzhou China

ISBN: (纸本)9781728117096

Direction of arrival (DOA) estimation based on underwater acoustic vector-sensor array has extensive applications in the oceanic field. To realize an accurate DOA estimation with lower complexity, this paper proposes a novel method to carry out the two-dimentional (2-D) DOA estimation. Firstly, we introduce the regularized multiple focal underdetermined system solver algorithm (M-FOCUSS) to solve the jointly sparse vectors reconstruction problem to determine the grid points of true DOAs accurately. Then, we utilize Taylor series expansion to precisely approximate the steering vectors of true DOAs and achieve an accurate estimation of the off-grid errors by solving an optimization problem. Simulation results show that our algorithm is of less computational complexity but leads to a high DOA estimation accuracy.

关键词： Direction of arrival (DOA) Regularized multiple focal underdetermined system solver algorithm Jointly sparse vectors reconstruction Taylor series expansion Off-grid errors Direction of arrival estimation Series expansions Sensor arrays grid point Underwater algorithms complexity classes Acoustics

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Classify Motion Model via SVM to Track Underwater Maneuvering Target

Classify Motion Model via SVM to Track Underwater Maneuverin...

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IEEE International Conference on Signal Processing, Communications and Computing

作者： Jiaxin Zhang Meiqin Liu Zhen Fan State Key Laboratory of Industrial Control Technology Zhejiang University College of Electrical Engineering Zhejiang University Hangzhou China College of Electrical Engineering Zhejiang University Hangzhou China

Maneuvering target tracking is one of the most important topics in marine research, and it is vital to track a target accurately. Tracking accuracy is closely related to the veracity of estimation of target's motion model. To improve the accuracy of tracking single underwater maneuvering target, this paper brings up a new method to reduce tracking error caused by switching of motion models. A support vector machine (SVM) is used to classify current motion model of the target, then state of the target is estimated by a Kalman filter (KF) with dynamic parameters. Simulation results suggest that compared with the classical interacting multiple model (IMM), algorithm proposed in this paper leads to a more satisfactory tracking root mean square error (RMSE) no matter the target maneuvers or not.

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Test research on advance abutment pressure caused by coal mining based on optical fiber monitoring

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IOP Conference Series: Earth and Environmental science 2021年第4期861卷

作者： Wengang Du Jing Chai Dingding Zhang Zhe Ma Yongliang Liu College of energy engineering xi'an university of science and technology xi'an 710054 China College of safety science and engineering xi'an university of science and technology xi'an 710054 China Xi'an university of science and technology ministry of education of the western mining and mine disaster prevention and control of key laboratory xi'an 710054 China

The strata movement and deformation caused by underground mining activities is a typical 'black box' problem, it is difficult to grasp the structural characteristics of complete overburden and the law of ground pressure. Abutment pressure is the vertical supporting force acting on coal and rock mass due to the redistribution of surrounding rock stress caused by underground engineering excavation. The distributed optical fiber and fiber Bragg grating are implanted into the physical similar model to monitor the distribution characteristics of abutment pressure in front of the working face during the whole excavation process. The results show that FBG monitoring to reach the peak strain needs to meet two conditions: the working face passes under it, and the cantilever beam structure above the working face is unstable and collapses, and the grating is located at the end of the suspended fixed beam. When FBG is located in front of the working face, the whole process is divided into four stages: 150-81 m from the grating is the weak influence area; 81-49.5 m is the significant influence area; 49.5-21 m from the grating is the severe influence area; 21-0 m from the grating is the influence recovery area. Based on this, the abutment pressure distribution model of FBG sensing detection is given. The influence range is within 81 m, the peak value is 21 m in front of the working face, and the pressure relief area is directly above the working face. The distributed optical fiber monitoring results show that the upward compressive stress value of the abutment pressure affected area decreases rapidly, and enters into the high roof tensile stress affected area. The tensile stress distribution presents a single peak shape, and gradually decreases after reaching the peak until it returns to the elastic area. The research results provide a new research idea for abutment pressure monitoring caused by mining.

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Accessing the syndemic of COVID-19 and malaria in tervention in Africa

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Infectious Diseases of Poverty 2021年第1期10卷 14-25页

作者： Benyun Shi Jinxin Zheng Shang Xia Shan Lin Xinyi Wang Yang Liu Xiao-Nong Zhou Jiming Liu School of Computer Science and Technology Nanjing Tech UniversityNanjing 211800JiangsuChina National Institute of Parasitic Diseases Chinese Center for Disease Control and PreventionShanghai 200025China Key Laboratory of Parasite and Vector Biology Ministry of HealthShanghai 200025China Chinese Center for Tropical Diseases Research Shanghai 200025China WHO Collaborating Centre for Tropical Diseases Shanghai 200025China National Center for International Research on Tropical Diseases Ministry of Science and TechnologyShanghai 200025China School of Global Health Chinese Center for Tropical Diseases ResearchShanghai Jiao Tong University School of MedicineShanghai 200025China College of Information Engineering Nanjing University of Finance EconomicsNanjing 210003JiangsuChina Department of Computer Science Hong Kong Baptist UniversityHong KongChina.

Background:The pandemic of the coronavirus disease 2019(COVID-19)has caused substantial disruptions to health services in the low and middle-income countries with a high burden of other diseases,such as malaria in sub-Saharan *** aim of this study is to assess the impact of COVID-19 pandemic on malaria transmission potential in malaria-endemic countries in ***:We present a data-driven method to quantify the extent to which the COVID-19 pandemic,as well as various non-pharmaceutical interventions(NPIs),could lead to the change of malaria transmission potential in ***,we adopt a particle Markov Chain Monte Carlo method to estimate epidemiological parameters in each country by fitting the time series of the cumulative number of reported COVID-19 ***,we simulate the epidemic dynamics of COVID-19 under two groups of NPIs:(1)contact restriction and social distanci ng,and(2)early ide ratification and isolation of *** on the simulated epidemic curves,we quantify the impact of COVID-19 epidemic and NPIs on the distribution of insecticide-treated nets(ITNs).Finally,by treating the total number of ITNs available in each country in 2020,we evaluate the negative effects of COVID-19 pandemic on malaria transmission potential based on the notion of vectorial ***:We con duct case studies in four malaria-endemic coun tries,Ethiopia,Nigeria,Tanza nia,and Zambia,in *** epidemiological parameters(i.e.;the basic reproduction number R°and the duration of infection D1)of COVID-19 in each country are estimated as follows:Ethiopia(Rq=1.57,D1=5.32),Nigeria(Ro=2.18,D1=6.58),Tanzania(Ro=2.47,D1=6.01),and Zambia(R0=2.12,D1=6.96).Based on the estimated epidemiological parameters,the epidemic curves simulated under various NPIs indicated that the earlier the interventions are implemented,the better the epidemic is ***,the effect of combined NPIs is better than contact restriction and social di st a ncing *** treating

关键词： COVID-19 pandemic Non-pharmaceutical interventions Particle Markov chain Monte Carlo Insecticidetreated nets Vectorial capacity Malaria transmission potential

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Coupling Value-Added Methanol Oxidation with CO2 Electrolysis by Low-Coordinated Atomic Ni Sites

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ACS nano 2025年第21期19卷 2025 May 22页

作者： Kang Lian Sanshuang Gao Wenxian Liu Qian Liu Yanhong Feng Jun Luo Guangzhi Hu Ke Chu Dingsheng Wang Xijun Liu MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials School of Resources Environment and Materials Guangxi University Nanning Guangxi 530004 China. Institute for New Energy Materials & Low-Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology Tianjin 300384 China. College of Materials Science and Engineering Zhejiang University of Technology Hangzhou 310014 China. Institute for Advanced Study Chengdu University Chengdu Sichuan 610106 China. ShenSi Lab Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Longhua District Shenzhen 518110 China. Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental Science Yunnan University Kunming 650504 China. School of Materials Science and Engineering Lanzhou Jiaotong University Lanzhou 730070 China. Department of Chemistry Tsinghua University Beijing 100084 China.

The combination of CO fixation and small organic molecule oxidation offers a promising solution to increasing severe environmental issues and energy crises. Here, low-coordinated NiN sites were anchored onto nitrogen-doped ordered mesoporous carbon (Ni-SAs/NOMC), which is capable of efficiently catalyzing the coupled methanol oxidation reaction and CO reduction reaction (MOR||CORR), thereby reducing the energy required for CO conversion and enhancing the economic value of the CO electrolytic system. In the membrane electrode assembly electrolyzer-based MOR||CORR, Ni-SAs/NOMC achieved Faradaic efficiencies (FEs) of 95.4% for formate at the anode and 96.3% for CO at the cathode. Moreover, at a current density of 0.8 A cm, Ni-SAs/NOMC demonstrated stable electrolysis for up to 100 h, with FEs at both the anode and cathode remaining stable at approximately 90%. In situ spectroscopy analyses and theoretical calculations identified the formation of critical intermediate species and the origin of activity improvement, guiding the development of efficient electrosynthesis of valuable chemicals.

关键词： carbon dioxide fixation hybrid electrolysis system low-coordinated atomic Ni sites methanol oxidation reaction value-added chemicals

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Novel synthesis strategy for Z-scheme BiOCl/UiO-66 photocatalyst: Enhanced surface area and improved Cr(VI) removal efficiency

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Chemical engineering Journal 2023年 457卷

作者： Xiaopei Li Eydhah Almatrafi Han Wang Xuran Liu Yang Yang Chengyun Zhou Xiang Tang Xiaoya Ren Linmiao Yin Guangming Zeng Dongbo Wang College of Environmental Science and Engineering and Key Laboratory of Environmental Biology and Pollution Control (Ministry of Education) Hunan University Changsha 410082 PR China Center of Research Excellence in Renewable Energy and Power Systems Center of Excellence in Desalination Technology Department of Mechanical Engineering Faculty of Engineering-Rabigh King Abdulaziz University Jeddah 21589 Saudi Arabia Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 1H9 Canada

MOF-based photocatalysts with a large specific surface area have been proven to be a potential candidate for removing heavy metal contaminants from the water environment. Herein, we present a much more available Z-scheme BiOCl/UiO-66 composite photocatalyst via a one-step hydrothermal method for efficiently removing Cr(VI) from wastewater. More importantly, when adding bismuth nitrate in the synthesis procedure, BiOCl was in situ generated on the surface of UiO-66 without an additional chlorine source. Experimental results showed that this novel photocatalyst could effectively remove Cr(VI) without adjusting the pH value and adding hole or hydroxyl radical scavengers, which is meant for practical application. Besides, the BET surface area of one-step synthesized BiOCl/UiO-66 composite was considerably extended to 1530.82 m 2 /g, which is larger than that of two-step synthesized BiOCl/UiO-66 composite and bare UiO-66. Characterization results verified that this one-step synthesized composite's outstanding Cr(VI) photo-removal efficiency was ascribed to increased active sites and improved charge separation and transfer efficiency. This study will likely to provide an effective way to simplify the synthesis procedure of bismuth materials/MOF composites with excellent applications.

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Neurodynamic TDOA localization with NLOS mitigation via maximum correntropy criterion

arXiv

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arXiv 2020年

作者： Xiong, Wenxin Schindelhauer, Christian So, Hing Cheung Liang, Junli Wang, Zhi Department of Computer Science University of Freiburg Freiburg79110 Germany Department of Electrical Engineering City University of Hong Kong Hong Kong School of Electronics and Information Northwestern Polytechnical University Xi'an710072 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou311121 China

In this paper, we exploit the maximum correntropy criterion (MCC) to robustify the traditional time-difference-of-arrival (TDOA) location estimator in the presence of non-line-of-sight (NLOS) propagation conditions. For the sake of statistical efficiency, the correntropy-based robust loss is imposed on the underlying time-of-arrival composition via joint estimation of the source position and onset time, instead of the TDOA counterpart generated in the postprocessing of sensor-collected timestamps. We then employ a neurodynamic optimization approach to tackle the highly nonconvex MCC formulation. Furthermore, we examine the local stability of equilibrium for the corresponding projection-type neural network model. Simulation investigations in representative NLOS propagation scenarios demonstrate that our neurodynamic robust TDOA localization solution is capable of outperforming several existing schemes in terms of positioning accuracy. Copyright © 2020, The Authors. All rights reserved.

关键词： Time difference of arrival

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Identification and Characterization of Linear Epitopes of Monoclonal Antibodies Against the Capsid Protein of Goose Astrovirus Genotype 2

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Poultry science 2025年第8期104卷

作者： Wei Li Linhua Xu Hantai Tan Tao Wang Zhen Wu Yu He Mingshu Wang Renyong Jia Dekang Zhu Mafeng Liu Xinxin Zhao Qiao Yang Ying Wu Shaqiu Zhang Juan Huang Xumin Ou Di Sun Bin Tian Anchun Cheng Shun Chen Institute of Veterinary Medicine and Immunology Sichuan Agricultural University Chengdu Sichuan 611130 China Research Center of Avian Disease College of Veterinary Medicine Sichuan Agricultural University Chengdu Sichuan 611130 China Key Laboratory of Animal Disease and Human Health of Sichuan Province Sichuan Agricultural University Chengdu Sichuan 611130 China Engineering Research Center of Southwest Animal Disease Prevention and Control Technology for Ministry of Education of the People's Republic of China Key Laboratory of Agricultural Bioinformatics of Ministry of Education Sichuan Agricultural University Chengdu Sichuan 611130 China. Institute of Veterinary Immunology and Green Drugs Veterinary Department in College of Animal Science State Key Laboratory of Green Pesticide Guizhou University Guiyang 550025 China.

Since 2015, outbreaks of a disease causing severe visceral gout in goslings had resulted in substantial economic losses to the goose farming industry in China. Subsequently, the disease, characterized by extensive visceral urate deposition and renal swelling, was determined to be caused by a novel astrovirus, designated as goose astrovirus ( GAstV ). The capsid protein ( Cap ) of GAstV, encoded by ORF2, is the sole structural protein of the virus and holds potential for developing therapeutic antibodies and diagnostic tools. Based on genetic divergence in the ORF2 gene, GAstV is classified into two serotypes: GAstV-1 and GAstV-2. Despite the critical role of the GAstV Cap in viral pathogenesis, research on generating and characterizing monoclonal antibodies ( mAb ) against this antigen remains scarce. In this study, six mAbs (1B3, 1B4, 1B6, 1D4, 1E2, 1F1) specifically recognizing GAstV Cap were screened using Western blotting ( WB ), indirect immunofluorescence assay ( IFA ), and indirect enzyme-linked immunosorbent assay ( ELISA ). For epitope mapping, sequential truncations of the GAstV Cap protein fused to glutathione S-transferase ( GST ) were generated using bacterial expression systems. Ultimately, antigenicity analysis of the prokaryotically expressed, GST-tagged Cap truncations via indirect ELISA and WB delineated two minimal linear epitopes: epitope 630 TDPEED 635 , recognized by mAbs 1B3, 1B4, 1B6, 1D4, and 1E2, and epitope 3 DRAVAPREK 11 , recognized by mAb 1F1. Amino acid sequence alignment revealed that the sequences of epitopes 630 TDPEED 635 and 3 DRAVAPREK 11 are highly conserved in GAstV-2 but exhibit significant divergence in the GAstV-1 serotype. This study provides essential tools for both fundamental research and diagnostics of GAstV-2.

关键词： Goose astrovirus Capsid protein Monoclonal antibody Linear epitope

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