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arXiv 2023年

作者： Hu, Jinhui Chen, Guo Li, Huaqing Guo, Xiaoyu Ran, Liang Huang, Tingwen School of Automation Central South University Hunan Changsha410083 China School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW2052 Australia Department of Mechanical Engineering City University of Hong Kong Kowloon Tong Hong Kong Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400715 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen518055 China

Decentralized stochastic gradient algorithms efficiently solve large-scale finite-sum optimization problems when all agents in the network are reliable. However, most of these algorithms are not resilient to adverse conditions, such as malfunctioning agents, software bugs, and cyber attacks. This paper aims to handle a class of general composite optimization problems over multi-agent systems (MASs) in the presence of an unknown number of Byzantine agents. Building on a resilient model-aggregation mechanism and the proximal-gradient mapping method, a Byzantine-resilient decentralized stochastic proximal-gradient algorithmic framework is proposed, dubbed ProxDBRO-VR, which achieves an optimization and control goal using only local computations and communications. To asymptotically reduce the noise variance arising from local gradient estimation and accelerate the convergence, we incorporate two localized variance-reduced (VR) techniques (SAGA and LSVRG) into ProxDBRO-VR to design Prox-DBRO-SAGA and Prox-DBRO-LSVRG. By analyzing the contraction relationships among the gradient-learning error, resilient consensus condition, and convergence error in a unified theoretical framework, it is proved that both Prox-DBRO-SAGA and Prox-DBRO-LSVRG, with a well-designed constant (resp., decaying) step-size, converge linearly (resp., sub-linearly) inside an error ball around the optimal solution to the original problem under standard assumptions. A trade-off between convergence accuracy and Byzantine resilience in both linear and sub-linear cases is also characterized. In numerical experiments, the effectiveness and practicability of the proposed algorithms are manifested via resolving a decentralized sparse machine-learning problem under various Byzantine attacks. Copyright © 2023, The Authors. All rights reserved.

关键词： Autonomous agents

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Informative Conditions for Identification of MISO ARMAX Model in Closed-loop Systems

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IFAC-PapersOnLine 2018年第15期51卷 455-460页

作者： Yan, Wengang Zhu, Yucai State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

In system identification, a data set needs to be informative to ensure that the identification criterion has a unique global minimum asymptotically, and the parameter estimation is consistent. In this work, meaningful sufficient and necessary informative conditions for a data set in multi-input single-output (MISO) closed-loop systems are obtained for the identification of ARMAX model. Compared with the results in the existing literature, our theoretical results provide precisely quantitative conditions on the complexity of controllers to generate informative experiment without using external excitation. It is shown that the newly-proposed theoretical results are in agreement with the simulation results. © 2018

关键词： Closed loop systems

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Enhanced adsorption performance of subordinate magnesium sites in pinhole magnesium oxide nanosheets with rich oxygen vacancies

Environmental Functional Materials

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Environmental Functional Materials 2022年第1期1卷 105-113页

作者： Yalin He Zhenyu Li Mei Xue Xingyue Qi Jiefei Li Kunhong Jiang Jiaxin Fu Chaohui Guan Ke Sun Zhiming Shi Akinari Sonoda Haibin Chu Hang Wei College of Chemistry and Chemical Engineering Inner Mongolia Engineering and Technology Research Center for Catalytic Conversion and Utilization of Carbon Resource Molecules Inner Mongolia University Hohhot 010021 PR China College of Materials Science and Engineering Jilin University Changchun 130022 PR China College of Chemistry Jilin University Changchun 130022 PR China State Key Laboratory of Luminescence and Applications Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun 130033 PR China Health and Medical Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Kagawa 761-0395 Japan

Phosphorus recovery from wastewater is important for protecting the aquatic environment and achieving sustainable development. However, as a typical phosphorus adsorbent, nanoscale magnesium oxide (MgO) exhibits aggregation and limited adsorption ability. Herein, melamine foam (MF) was selected as a self-sacrifice template to prepare an oxygen-vacancy-rich MgO/MF phosphate adsorbent with high dispersion and a multistage pore structure. Density-functional theory calculations reveal that the phosphate preferentially adsorbed on the hollow sites rather than top sites of MgO when there were oxygen vacancies, which improved the intrinsic adsorption ability of MgO/MF. The MgO/MF adsorbent exhibited excellent phosphorus removal from water within a wide pH range of 2–12; the maximum adsorption capacity of phosphate was as high as 1226 mg/g. The adsorption capacity of the MgO/MF adsorbent after phosphate adsorption was reactivated to ca. 100%. After six adsorption cycles, MgO/MF with a high phosphate content of 117.5 mg P/g is a potential high-quality fertilizer. This work provides a promising strategy for constructing an efficient adsorbent for wastewater treatment and resource recovery.

关键词： Magnesium oxide Melamine foam Oxygen vacancy Phosphate adsorbent High adsorption capacity

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Material state Identification of the Conveyor Belt based on Inception-v4

Material State Identification of the Conveyor Belt based on ...

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Chinese Automation Congress (CAC)

作者： Jinliang Tang Zhenyu Cai Chao Xu Tehuan Chen School of Mechanical Engineering and Mechanics Ningbo University Ningbo China System Integration Center Huzhou Institute of Zhejiang University Huzhou China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China

ISBN: (纸本)9781665426480

For the uneven phenomenon of materials during material transportation on the factory assembly line, this paper proposes an improved model based on Inception-v4 to realize the identification and classification of three material states (more materials, normal materials, and fewer materials). In the image processing stage, the Farneback algorithm is used to capture the moving area, which makes the training of the model focus on effective information. In addition, considering the color bias of materials, the RGB enhancement strategy is proposed. By processing the image data in RGB channels, different weights are given to realize the enhancement of image features. In the network training and testing stage, we use Inception-v4 as the baseline model. The output of the model is modified for the classification task, and a new loss function is designed. In addition, considering the limited sample size, we pre-trained the model on ImageNet. Through experimental comparison, the improved algorithm proposed in this paper has better performance.

关键词： Training Transfer learning Transportation Belts Feature extraction Production facilities Classification algorithms

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Multiplexed CRISPR/Cas and Argonaute detection technology: strategies, challenges, and perspectives

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TrAC Trends in Analytical Chemistry 2025年 191卷

作者： Yaru Li Lu Zhao Wen Kang Long Ma Yunfeng Bai Feng Feng School of Agriculture and Life Science Shanxi Datong University Datong 037009 China School of Chemistry and Chemical Engineering Shanxi Provincial Key Laboratory of Chemical Biosensing Shanxi Datong University Datong 037009 China State Key Laboratory of Food Nutrition and Safety Key Laboratory of Industrial Microbiology Ministry of Education Tianjin Key Laboratory of Industry Microbiology National and Local United Engineering Lab of Metabolic Control Fermentation Technology China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry College of Biotechnology Tianjin University of Science and Technology Tianjin 300457 China

An increasing number of applications demand the simultaneous detection of multiple nucleic acid targets within a single reaction, which results in a reduction in both the time required for the assay and the overall cost. The programmable nucleases Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated (Cas) system and Argonaute have evolved into state-of-the-art molecular tools for the development of bioanalytical assays. In the review, the classification of the CRISPR/Cas and Argonaute were introduced followed by barriers of current multiplexed detection. Then the review systematically summarized the application of multiplexed CRISPR/Cas and Argonaute detection according to spatial/local separation, color-labelling differentiation, programmable nucleases sequence preference, sequence specific recognition. Finally, the review put forward the existing challenges and prospects of emerging field. The advancement of multiplexed CRISPR/Cas and Argonaute detection is ushering in a new era in bioanalysis with high sensitivity as well as specificity, offering great promise and desirability.

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Polyimide Nanofiber Aerogel-Based Portable Solar Interfacial Evaporator for Efficient and Durable Desalination Via Heat Localization

SSRN

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SSRN 2022年

作者： Xue, Tiantian Yang, Fan Zhao, Xingyu He, Feng Wang, Zhenyu Wali, Qamar Fan, Wei Liu, Tianxi Key Laboratory of Synthetic and Biological Colloids Ministry of Education School of Chemical and Material Engineering Jiangnan University Wuxi214122 China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University 2999 North Renmin Road Shanghai201620 China Institute of Environmental Processes and Pollution Control School of Environment and Civil Engineering Jiangnan University Wuxi214122 China NUTECH School of Applied Sciences & Humanities National University of Technology Islamabad44000 Pakistan

Solar vapor generation is a friendly water purification technology via efficiently utilization of natural sunlight. However, the present solar evaporation devices are impeded by high cost, inferior mechanical property, low efficiency and poor durability. Here, inspired by plant transpiration, we designed and fabricated a scalable and portable polypyrrole-modified polyimide nanofiber aerogel (PPy-PI NAG) for efficient and durable solar vapor generation. During the evaporation process, the bottom hydrophilic PI NAG with hierarchical cellular fibrous structure acts as the roots for fast water transportation, while the upper PPy layer with porous and rough surface plays as the leaves for evaporation. More importantly, the highly porous PPy-PI NAG possesses a low thermal conductivity (0.05 W m-1 K-1), which can confine the heat energy on the air-water interface, exhibiting superior heat localization effect. Under one sun illumination, the PPy-PI NAG exhibits a high average evaporation rate of 1.42 kg m-2 h-1 and achieved 99.7% ion removal efficiency for seawater. Moreover, the PPy-PI NAG exhibits stable evaporation efficiency with continuous desalination for 15 days and compressing/folding for 1000 cycles, and can be compressed or folded into small size to the benefit of carriage or transportation, demonstrating great potential as portable solar evaporation device for personal and household evaporation systems. © 2022, The Authors. All rights reserved.

关键词： Nanofibers

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Adsorption of Ch4/Co2/N2 by Different Functional Groups in Coal

SSRN

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SSRN 2022年

作者： Jia, Jinzhang Wu, Yumo Zhao, Dan Li, Bin Wang, Dongming College of Safety Science and Engineering Liaoning Technical University Liaoning Fuxin123000 China Key Laboratory of Thermal Dynamic Disaster Prevention and Control of Ministry of Education Liaoning Technical University Liaoning Huludao125105 China Faculty of Civil Engineering and Architecture Zhanjiang University of Science and Technology Guangdong Zhanjiang524000 China School of Environmental and Chemical Engineering Shenyang Ligong University Shenyang110159 China

To explore the microscopic mechanism of gas adsorption by different functional groups in coal and provide theoretical support for the prevention and control of coal mine gas disasters, a slit-pore model and fragment model modified by different functional groups were built using Materials Studio software, based on density functional theory and the Monte Carlo method. The adsorption characteristics of seven different functional group models on the gas were analyzed, and the microscopic mechanism of adsorption performance of different functional groups on CH 4 /CO 2 /N 2 was revealed. The results showed that the order of the electrophilic ability of each functional group fragment followed benzene ring >‒OH>‒C=O>‒O‒CH 3 >‒COOH>‒CH 3 >‒CH 2 ‒CH 3 , and the order of nucleophilic ability was benzene ring >‒CH 2 ‒CH 3 >‒CH 3 >‒COOH>‒OH>‒C=O>‒O‒CH 3 . After adding different functional groups to the surface of the complete activated carbon, the electrophilic ability and nucleophilic ability decreased. The adsorption heat was not only affected by the adsorption amount but also by the non-uniformity of the adsorbent surface. The oxygen-containing functional groups were beneficial to the adsorption of CO 2 gas, and the aliphatic functional groups were committed to the adsorption of CH 4 and N 2 . © 2022, The Authors. All rights reserved.

关键词： Coal

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Removal characteristics of microplastics by Fe-based coagulants during drinking water treatment

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Journal of Environmental sciences 2019年第4期31卷 267-275页

作者： Baiwen Ma Wenjing Xue Yanyan Ding Chengzhi Hu Huijuan Liu Jiuhui Qu Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of Sciences College of Environment and Safety Engineering Qingdao University of Science and Technology University of Chinese Academy of Sciences School of Environment State Key Joint Laboratory of Environment Simulation and Pollution ControlTsinghua University Research Center for Water Quality and Ecology Tsinghua University

Microplastics have caused great concern worldwide recently due to their ubiquitous presence within the marine environment. Up to now, most attention has been paid to their sources,distributions, measurement methods, and especially their eco-toxicological effects. With microplastics being increasingly detected in freshwater, it is urgently necessary to evaluate their behaviors during coagulation and ultrafiltration(UF) processes. Herein, the removal behavior of polyethylene(PE), which is easily suspended in water and is the main component of microplastics, was investigated with commonly used Fe-based salts. Results showed that although higher removal efficiency was induced for smaller PE particles, low PE removal efficiency(below 15%) was observed using the traditional coagulation process, and was little influenced by water characteristics. In comparison to solution pH, PAM addition played a more important role in increasing the removal efficiency, especially anionic PAM at high dosage(with efficiency up to 90.9%). The main reason was ascribed to the dense floc formation and high adsorption ability because of the positively charged Fe-based flocs under neutral conditions. For ultrafiltration, although PE particles could be completely rejected,slight membrane fouling was caused owing to their large particle size. The membrane flux decreased after coagulation; however, the membrane fouling was less severe than that induced by flocs alone due to the heterogeneous nature of the cake layer caused by PE, even at high dosages of Fe-based salts. Based on the behavior exhibited during coagulation and ultrafiltration, we believe these findings will have potential application in drinking water treatment.

关键词： Microplastics Removal FeCl3·6H2O Coagulation Ultrafiltration

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Comparative Analysis of Nitrate Evolution Patterns During Pollution Episodes: Method Development and Results from Tianjin, China

SSRN

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SSRN 2022年

作者： Li, Yafei Han, Yan Ma, Simeng Zhang, Yufen Wang, Haoqi Yang, Jingyi Yao, Lu Bi, Xiaohui Wu, Jianhui Feng, Yinchang State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Center for Urban Transport Emission Research College of Environmental Science and Engineering Nankai University Tianjin300350 China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research Tianjin300000 China Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing 400714 China

Nitrate plays an increasingly important role in the formation of pollution process, while the main mechanisms of nitrate concentration change are different in each stage, same as the driving factors. In this study, we proposed an episode-based analysis to illustrate the typical nitrate evolution patterns and identify the possible impacting factors in different evolution stages. Applying into twelve pollution episodes, three typical patterns of nitrate evolution were abstracted, and the corresponding conceptual models were constructed. All the pollution episodes were grouped by their evolving shapes, which were driven by physical and chemical processes. Type 1 ("hump-shaped type"), accounting for 66.3% of the total episode durations, including two "peak" concentrations, displays a rapid growth rate, mainly relying on the sharp drop in the planetary boundary layer height. Type 2 ("triangle-shaped type", 24.3%) shows a gentle growth rate and short duration. Both physical and chemical effects are weaker compared with Type 1. Type 3 ("trapezoid-shaped type", 9.4%) presents a long platform stage, during which the source and sink keep balance. Our study highlights the importance of pattern identification for understanding the nitrate evolution behavior, it may also provide insights for pollution prediction and scientific mitigation strategies. © 2022, The Authors. All rights reserved.

关键词： Nitrates

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Experimental Study on Adsorption-Deformation-Seepage of Co2, Ch4, and N2 in Anthracite

SSRN

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SSRN 2022年

The adsorption capacity, deformation, and permeability of coal are the key factors that affect coalbed methane yield and CO 2 geological storage. To explore the adsorption-deformation-seepage mechanism of coal, this paper takes anthracite as the research object and uses the coal rock adsorption-deformation-seepage test platform under multi-physical field conditions to conduct an adsorption-deformation-seepage experimental study of columnar anthracite through the adsorption of CO 2 , CH 4 , and N 2 under stress. The results showed that the adsorption capacity and deformation of anthracite for CO 2 gas were the largest, followed by CH 4 and N 2 . An increase in the adsorption pressure showed an initial decrease and then increase in the permeability of anthracite. The critical pressure points of CO 2 /CH 4 /N 2 gas permeabilities in anthracite were about 2.0 MPa, 1.75 MPa, and 1.5 MPa, respectively. N 2 showed the greatest permeability, followed by CH 4 and CO 2 . Improvements in the dynamic prediction models of adsorption capacity, coal deformation, and permeability based on the law of adsorption-deformation-seepage of coal were established. © 2022, The Authors. All rights reserved.

关键词： Carbon dioxide

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