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COF-derived porous nitrogen-doped carbon for removal of emerging organic contaminants and efficient uranium extraction from seawater

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Chemosphere 2024年 365卷 143354页

作者： Hou, Hairui Ma, Zixuan Wu, Dedong Wang, Xiangxue Yu, Shujun Zhang, Pan Ma, Xiaoying Fu, Dong MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China

The development of adsorbents for efficient and highly selective seawater extraction of uranium was instrumental in fostering sustainable progress in energy and addressing the prevailing energy crisis. However, the complex background composition of the marine environment, including radionuclides, organic pollutants, and a large number of co-existing heavy metal ions, were non-negligible obstacles to the extraction of uranium from seawater. The present investigation successfully employed a self-templated approach to synthesize porous nitrogen-doped carbon (PNC) derived from COF, which exhibited tremendous potential as an adsorbent for pollutant removal in environmental treatment. LZU1@PNC not only retained the structural features of the original COF-LZU1, but also overcame the acid-base instability problem commonly found in COFs. Subsequently, the removal process of two typical water pollutants on the material was investigated using 2,4-DCP and [UO2(CO3)3]4-. The results demonstrated that LZU1@PNC exhibited superior removal performance for the target pollutants compared to COF-LZU1, owing to its larger specific surface area and abundant defect structure. After six desorption-regeneration cycles, LZU1@PNC still maintained a high removal rate of the target contaminants, demonstrating the stability of this material and its excellent recyclability. In addition, based on various characterization techniques, the removal mechanism of 2,4-DCP was presumed to be mainly electrostatic attraction, hydrogen bonding, and π-π stacking interactions. Conversely, the elimination process of [UO2(CO3)3]4- predominantly relied on surface complexation phenomena. The present investigation provided new perspectives and stimulated a broader study of other COF-derived carbon materials and their modifications as adsorbents for uranium extraction from seawater and other applications. © 2024 Elsevier Ltd

关键词： Uranium dioxide

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Denoising and Rhythms Extraction of EEG under +Gz Acceleration Based on Wavelet Packet Transform

Denoising and Rhythms Extraction of EEG under +Gz Accelerati...

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2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Yifeng Li Tao Zhang Lue Deng Bei Wang Masatoshi Nakamura Department of Automation Tsinghua University Beijing 100084 China Air Force Institute of Aeromed Department of Automation Tsinghua University Beijing 100084 China Key Laboratory of Advanced Con Air Force Institute of Aeromedicine Beijing 100142 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai 200237 China Research Institute of Systems Control Saga University Saga 840-0047 Japan

ISBN: (纸本)9781467329705

Filtering and feature extraction are very important in the analysis and study of EEG signal under +Gz *** this study,a new filter of different frequency characteristics of EEG signal under +Gz acceleration is constructed and four kinds of rhythms of EEG signal are extracted by using wavelet packet *** under different G loads is analyzed and compared,and then EEG dynamic characteristics are studied in order to analyze its advantages and *** results show that wavelet packet method can effectively suppress interference bands in EEG,such as EMG,power and so on,and effectively reflect the dynamic characteristics of different rhythms,exhibiting good *** proposed method is also applicable for analyzing and studying other dynamic biomedical signals.

关键词： EEG wavelet packet filtering denoising rhythms extraction

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Multi-objective Machine Learning for control performance assessment in PID control loops ⁎

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IFAC-PapersOnLine 2024年第7期58卷 168-173页

作者： Gilberto Reynoso-Meza Jesús Carrillo-Ahumada Tainara Marques Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifícia Universidade Católica do Paraná (PUCPR) Rua Imaculada Conceição 1155 Curitiba Brazil Control Systems Optimization Laboratory (LOSC) Pontifícia Universidade Católica do Paraná (PUCPR) Ingeniería en Alimentos. Universidad del Papaloapan. Circuito Central 200 Col. Parque Industrial 68301 Tuxtepec Oaxaca Mex

control Performance Assessment (CPA) is a critical endeavor in industrial processes, ensuring optimal functioning of control systems. Traditionally, CPA has been addressed through solutions using some control performance indicators. Nowadays, the integration of data science and machine learning has emerged as a viable alternative, particularly in classification tasks related to CPA. That is, in a binary classification scheme, the goal is to predict whether incoming data from the control loop belongs to class 0 or 1, representing the absence or presence of an anomaly (performance degradation). In such a case, a trade-of between false positives and false negatives should be obtained, via the training phase of a given supervised machine learning structure for example. Usually, this is a conflicting trade-of, where multi-objective optimization techniques in the training phase of such learners could bring interesting results. In this paper, we explore the usability of multi-objective optimization training in machine learning, for control performance assessment classification. A database describing 30 control performance indicators (features) in a PID control loop is used. The obtained results indicate that the proposed approach could bring interesting applications to improve the performance of CPA classification systems.

关键词： control performance assessment machine learning multi-objective optimization PID control multi-criteria analysis

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Speciation analysis of arsenic in coal and its combustion by-products in coal-fired power plants

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Ranliao Huaxue Xuebao/Journal of Fuel Chemistry and Technology 2020年第11期48卷 1310-1317页

作者： He, Kai-Qiang Shi, Meng-Dan Li, Yan Jiang, Yang-Hong Li, Yuan-Peng Yuan, Chun-Gang Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science & Engineering North China Electric Power University Baoding071000 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China

The speciations of Arsenic (As) in coal will inevitably convert during the combustion process. The As speciations in coal and its by-products are closely related to human health and environmental safety which is urgent to be identified. However, there is a lack of pretreatment procedure and analysis method on the As species in coal-related products in power plants. In this study, the As species in coal, fly ash (FA), and gypsum were successfully determined by high performance liquid chromatography coupled with hydride generation atomic fluorescence spectrometry (HPLC-HG-AFS). The instrument parameters, extract reagents, and pretreatment methods (i.e. ultrasound and microwave-assisted) were optimized. The whole separation time of inorganic As was shorten to 7 min after optimization, with the detection limit of 1.8 and 4.6 ng/g for As(III) and As(V), respectively. The efficient As extract reagent was the mixture of 1.0 mol/L H3PO4 and 0.1 mol/L ascorbic acid solution. Microwave-assisted (2000 W, 80℃, 40 min) and ultrasound-assisted (40 kHz, 20℃, 40 min) schemes were the optimal extraction methods for coal/FA and gypsum samples, respectively. Under the proposed microwave and ultrasound extraction procedure, the recovery of As(III) and As(V) could reach to 95.8%/104.5% and 90.6%/89.7%, respectively. The dominant occurrence of As species in coal was As(V) with a small percentage of As(III), while As(V) was the only occurrence form observed in FA and gypsum. It is indicated that revealing the transformation of As(III) to As(V) is the key for gaseous As capture. The As species distribution investigation provides a scientific insight to the controlling of As emission from power plant. © 2020, Science Press. All right reserved.

关键词： Coal

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Research on Dynamic Maintenance Strategy of Complex Equipment System

Research on Dynamic Maintenance Strategy of Complex Equipmen...

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Prognostics and System Health Management (PHM-Jinan), International Conference on

作者： Yingshun Li Aina Wang Xiaojian Yi Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China The School of Mechatronical Engineering Beijing Institute of Technology Beijing China Chinese Academy of Sciences China North Vehicle Research Institute & Academy of Mathematics and Systems Science Beijing China

ISBN: (数字)9781728151816

ISBN: (纸本)9781728151823

In recent years, the complex equipment system presents the rapid development of integration and intelligence, and it is easy to break down when it works in bad environment for a long time. The maintenance support ability and comprehensive maintenance economic benefit of the complex equipment system play an important role in the defense ability. Therefore, in order to improve the combat readiness of equipment, solve the current situation of economic loss and low operation ability caused by insufficient or excessive maintenance. In this paper, a dynamic maintenance strategy for complex equipment system is proposed. The goal of this maintenance strategy is to minimize the average cost in a short period of time,to update the running state of the system and the execution time of fault maintenance in real time. Finally, the effectiveness of the dynamic maintenance strategy proposed in this paper is verified by the analysis of maintenance model parameters. The dynamic maintenance strategy proposed in this paper considers the operation state and economic cost of complex equipment system, which is more applicable to practical engineering application.

关键词： Maintenance engineering Real-time systems Degradation Decision making Economics Correlation optimization

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Towards Robust Bayesian Estimation for Linear Dynamical systems

Towards Robust Bayesian Estimation for Linear Dynamical Syst...

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Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Xinpeng Liu Xianqiang Yang School of Artificial Intelligence Dalian University of Technology Dalian P. R. China The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian P. R. China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin P. R. China

This paper presents a robust Bayesian approach for identification of linear dynamical systems (LDS) with non-Gaussian observation noises. The Bayesian treatment of the identification problem is formulated by introducing suitable likelihood functions and prior information. The posterior distributions over unknown parameters and hidden states are jointly estimated under variational Bayesian (VB) framework, where the augmentation technique is adopted to make inference of the LDS with random parameters, and the parameter uncertainties can be also quantified by the variance statistics. Numerical studies are performed to confirm the effectiveness of the proposed method.

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BSG-starcraft radius improvements of particle swarm optimization algorithm: An application to ceramic matrix composites

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8472卷 166-174页

作者： Chamoret, Dominique Salmon, SáEbastien Cesare, Noelie Di Xu, Yingjie J IRTES-M3M-EA7274 Universitée de Technologie de Belfort Montbáeliard Belfort France Optimization Command and Control Systems Besançcon France Engineering Simulation and Aerospace Computing Key Laboratory of Contemporary Design and Integrated Manufacturing Technology Northwestern Polytechnical University Xi’an710072 China

The thermal residual stresses (TRS) induced in ceramic matrix composites (CMCs) with multi-layered interphases when cooling down from the processing temperature, have a significant influence on the mechanical behavior and lifetime of CMCs. The objective of this work is to minimize the TRS of the unidirectional CMCs with multilayered interphases by controlling the interphases thicknesses. A new Particle Swarm optimization (PSO) algorithm is interfaced with a finite element code to find an optimal design and thereby significantly reduce the TRS within CMCs. This new PSO allows a faster convergence rate and gets a new effective stopping criteria based on real physical limits. © 2014 Springer International Publishing Switzerland. All Rights Reserved.

关键词： Finite element method

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Synchronization of Kuramoto Oscillators with Non-identical Natural Frequencies: a Quantum Dynamical Decoupling Approach

Synchronization of Kuramoto Oscillators with Non-identical N...

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IEEE Annual Conference on Decision and control

作者： Zhifei Zhang Alain Sarlette Zhihao Ling SYSTeMS research group Faculty of Engineering and Architecture Ghent University Technologiepark Zwijnaarde 914 9052 Zwijnaarde(Ghent) Belgium Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology No.130 Meilong Road Shanghai 200237 China

ISBN: (纸本)9781467360890

This paper proposes a method to counter the drift associated to unknown non-identical natural frequencies in the Kuramoto model of coupled oscillators. Inspired by the quantum dynamical decoupling technique, it builds on a time-varying variant of the dynamics to effectively bring the oscillator phases closer to the same value. This allows effective synchronization despite arbitrarily large differences in natural frequencies. For two agents admitting instantaneous position exchanges, we exactly compute how the relative phase converges to a stable periodic fixed point. The latter tends to zero when the dynamics switches at a faster rate. With continuous state evolutions, using a related dynamic controller instead of instantaneous jumps, we show with a Lyapunov function that exact phase synchronization is obtained. We generalize the method to multiple oscillators with instantaneous state exchanges, that can be implemented by cycling through a predefined or random sequence of exchanges. Simulation results illustrate the effectiveness of the algorithms.

关键词： Natural frequencies Oscillators DECOUPLING phase synchronization coupled oscillators dynamics quanta

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Optimizing RSUs Network against Cascading Failure

Optimizing RSUs Network against Cascading Failure

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Wenzhong Tang Xiongyu Shan Daxin Tian Zhengguo Sheng Haiying Xia Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing China The Ministry of Public Security of China ITS Technology Optimization and Integration Hefei China Department of Engineering and Design The University of Sussex Richmond UK Research Institute of Highway Ministry Transport Beijing China

ISBN: (纸本)9781467372121

Nowadays, with the development of the vehicular ad hoc network, the reliability and stability of the communication network between RSUs has become a critical issue. So in the case of cascading failure, what topological structure can generate a relatively robust network with a relatively low cost? In this paper, we take advantage of a cascading failure model to simulate the cascading failure process of the network, at the same time, we make use of an evolution algorithm to evolve the network. Thus can obtain the network with relatively best comprehensive properties. Then take advantage of the statistical characteristics to analyze the topological structure of the network. The analysis shows that, the high clustering, high assortativity and the relatively large average shortest path length are all beneficial to improve the comprehensive properties of the network, while the network with good comprehensive properties also has a relatively homogeneous degree distribution.

关键词： Power system faults Power system protection Complex networks Communication networks Vehicles Vehicular ad hoc networks Load modeling

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Prediction-based Optimal Distributed Filtering with Communication Delay over Sensor Networks

Prediction-based Optimal Distributed Filtering with Communic...

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第三十八届中国控制会议

作者： Jun Hu Guo-Ping Liu Zidong Wang Hongxu Zhang School of Engineering University of South Wales Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems Harbin University of Science and Technology CTGT center Harbin Institute of Technology Department of Computer Science Brunel University London School of Measurement and Communication Harbin University of Science and Technology

In this paper, the prediction-based distributed filtering problem is discussed for a class of time-varying stochastic systems with communication delay and different types of noises over sensor networks. The communication delay is characterized when the state estimations are transmitted between adjacent sensor nodes. In order to compensate the effects induced by the communication delay, the prediction-based idea is employed and then the active compensation estimation is provided when designing the time-varying distributed filter. In particular, both the prediction-based state estimation and its own innovation measurements are utilized in terms of the concerned sensor networks under given topological structure. Subsequently, a locally minimum upper bound of the filtering error covariance is given by determining the filter gain at each time step. Finally, the validity and advantages of the presented prediction-based distributed filtering method are illustrated by some simulations.

关键词： Time-varying stochastic systems Sensor networks Optimal distributed filtering Communication delay Prediction compensation

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