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Ordered mesoporous carbon as an efficient heterogeneous catalyst to activate peroxydisulfate for degradation of sulfadiazine

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Chinese Chemical Letters 2022年第5期33卷 2747-2752页

作者： Zhi-Ling Li Di Cao Hao Cheng Fan Chen Jun Nan Bin Liang Kai Sun Cong Huang Ai-Jie Wang State Key Laboratory of Urban Water Resource and Environment School of EnvironmentHarbin Institute of TechnologyHarbin 150090China School of Civil&Environmental Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China School of Ecology and Environment Northwestern Polytechnical UniversityXi’an 710129China Key Lab of Structures Dynamic Behavior and Control of China Ministry of Education School of Civil EngineeringHarbin Institute of TechnologyHarbin 150090China National Technology Innovation Center of Synthetic Biology Tianjin Institute of Industrial BiotechnologyChinese Academy of SciencesTianjin 300308China

Catalytic potential of carbon nanomaterials in peroxydisulfate(PDS)advanced oxidation systems for degradation of antibiotics remains poorly *** study revealed ordered mesoporous carbon(type CMK)acted as a superior catalyst for heterogeneous degradation of sulfadiazine(SDZ)in PDS sys-tem,with a first-order reaction kinetic constant(k)and total organic carbon(TOC)mineralization efficiency of 0.06 min^(–1) and 59.67%±3.4%within 60min,*** catalyzed PDS system exhibited high degradation efficiencies of five other sulfonamides and three other types of antibiotics,verifying the broad-degradation capacity of *** neutral pH conditions,the optimal catalytic parameters were an initial SDZ concentration of 44.0mg/L,CMK dosage of 0.07g/L,and PDS dosage of 5.44mmol/L,respectively.X-ray photoelectron spectroscopy and Raman spectrum analysis confirmed that the defect structure at edge of CMK and oxygen-containing functional groups on surface of CMK were major active sites,contributing to the high catalytic *** radical quenching analysis revealed that both SO_(4)•−and•OH were generated and participated in catalytic *** addition,direct electron transfer by CMK to activate PDS also occurred,further promoting catalytic *** of SDZ molecule was optimized using density functional theory,and the possible reaction sites in SDZ molecule were calculated using Fukui *** ultra-high-performance liquid chromatography(UPLC)–mass spectrometry(MS)/MS analysis,three potential degradation pathways were proposed,including the direct removal of SO_(2)molecules,the 14S-17N fracture,and the 19C-20N and 19C-27N cleavage of the SDZ *** study demonstrated that ordered mesoporous carbon could work as a feasible catalytic material for PDS advanced oxidation during removal of antibiotics from wastewater.

关键词： Ordered mesoporous carbon CMK Sulfadiazine Peroxydisulfate Degradation pathway Density functional theory Physicochemical properties

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Adaptive neural network based boundary control of a flexible marine riser system with output constraints

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Frontiers of Information technology & Electronic Engineering 2022年第8期23卷 1229-1238页

作者： Chuyang YU Xuyang LOU Yifei MA Qian YE Jinqi ZHANG Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan UniversityWuxi 214122China College of Internet of Things Technology Wuxi Institute of TechnologyWuxi 214122China Wuxi Good Cloud IoT Technology Co. Ltd.Wuxi 214196China

In this study,we develop an adaptive neural network based boundary control method for a flexible marine riser system with unknown nonlinear disturbances and output constraints to suppress *** begin with describing the dynamic behavior of the riser system using a distributed parameter system with partial differential *** compensate for the effect of nonlinear disturbances,we construct a neural network based boundary controller using a radial basis neural network to reduce *** the proposed boundary controller,the state of the riser is guaranteed to be uniformly bounded based on the Lyapunov *** proposed methodology provides a way to integrate neural networks into boundary control for other flexible robotic manipulator ***,numerical simulations are given to demonstrate the effectiveness of the proposed control method.

关键词： Marine riser system Partial differential equation Neural network Output constraint Boundary control Unknown disturbance

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Oxidation of emerging organic contaminants by in-situ H_(2)O_(2) fenton system

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Green Energy & Environment 2024年第3期9卷 417-434页

作者： Yuqin Ni Chuxiang Zhou Mingyang Xing Yi Zhou State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes School of Resources&Environmental EngineeringEast China University of Science and TechnologyShanghai200237China Key Laboratory for Advanced Materials and Institute of Fine Chemicals National Engineering Laboratory for Industrial Wastewater TreatmentSchool of Chemistry and Molecular EngineeringEast China University of Science and Technology130 Meilong RoadShanghai200237China Department of Applied Natural Sciences Technische Hochschule LubeckMonkhofer Weg 23923562 LubeckGermany

The existence and risk of emerging organic contaminants(EOCs)have been under consideration and paid much effort to degrade these *** system is one of the most widely used technologies to solve this *** original Fenton system relies on the hydroxyl radicals produced by Fe(Ⅱ)/H_(2)O_(2) to oxidize the organic ***,the application of the Fenton system is limited by its low iron cycling efficiency and the high risks of hydrogen peroxide transportation and *** introduction of external energy(including light and electricity etc.)can effectively promote the Fe(Ⅲ)/Fe(Ⅱ)cycle and the reduction of oxygen to produce hydrogen peroxide in *** review introduces three in-situ Fenton systems,which are electro-Fenton,Photo-Fenton,and chemical *** mechanism,influencing factors,and catalysts of these three in-situ Fenton systems in degrading EOCs are discussed *** review strengthens the understanding of Fenton and in-situ Fenton systems in degradation,offering further insight into the real application of the in-situ Fenton system in the removal of EOCs.

关键词： In-situ H_(2)O_(2)production Fenton Emerging organic contaminants Photocatalysis Electrocatalysis

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Inhomogeneous strain and doping of transferred CVD-grown graphene

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Rare Metals 2022年第5期41卷 1727-1734页

作者： Yu-Ting Niu Fang-Zhu Qing Xue-Song Li Bo Peng National Engineering Research Center of Electromagnetic Radiation Control Materials University of Electronic Science and Technology of ChinaChengdu 611731China State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of ChinaChengdu 611731China School of Electronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen 518110China

Chemical vapor deposition(CVD)-grown graphene on copper foils is subject to the Cu substrate, which affects the spatial distribution of strain and doping, thus influencing the electronic properties of graphene. However, plenty of electronic devices based on CVD-grown graphene require transfer process and the distribution of doping and strain in CVD-grown graphene transferred onto the insulating substrates remains elusive.

关键词： graphene transferred strain

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Boolean matrix compressed sensing

Boolean matrix compressed sensing

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International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Qiang Liu Mahdi Soleymani Hessam Mahdavifar National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Halıcıoğlu Data Science Institute University of California San Diego La Jolla CA USA Department of Electrical and Computer Engineering Northeastern University Boston MA USA

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

In real-world datasets, leveraging the low-rank and sparsity properties enables developing efficient algorithms across a diverse array of data-related tasks, including compression, compressed sensing, matrix completion, etc. Notably, these two properties often coexist in certain real-world datasets, especially in Boolean datasets and quantized real-valued datasets. To harness the advantages of low-rank and sparsity simultaneously, we adopt a technique inspired by compressed sensing and Boolean matrix completion. Our approach entails compressing a low-rank sparse Boolean matrix by performing inner product operations with a randomly generated Boolean matrix. We then propose a decoding algorithms based on message-passing techniques to recover the original matrix. Our experiments demonstrate superior recovery performance of our proposed algorithms compared to Boolean matrix completion, with equal measurement requirements.

关键词： Image coding Signal processing algorithms Signal processing Acoustics Sensors Decoding Sparse matrices Speech processing Compressed sensing

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Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Zibo Miao Yu Pan Qing Gao Guangdong Key Laboratory of Intelligent Morphing Mechanisms School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Shenzhen China State Key Laboratory of Industrial Control Technology The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University Hangzhou China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique.

关键词： Perturbation methods Design methodology Quantum optics Robustness Feedback control Closed loop systems Tuning Cybernetics

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Accurate monitoring of machining process of Ti-6Al-4V using deep multi-task learning

Accurate monitoring of machining process of Ti-6Al-4V using ...

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2024 International Conference on advanced Mechatronic Systems, ICAMechS 2024

作者： Park, Soyeon Yang, Sang Min Kim, Gyeongho Kim, Dong Min Lee, Hoon Hee Choi, Jae Gyeong Jeon, Sujin Lim, Sunghoon Park, Hyung Wook Unist Department of Industrial Engineering Ulsan44949 Korea Republic of Unist Department of Mechanical Engineering Ulsan44949 Korea Republic of Tech University of Korea Department of Mechanical Design Engineering Siheung15073 Korea Republic of Kitech Extreme Process Control Group Jinju52845 Korea Republic of Industry Intelligentization Institute Unist Graduate School of Artificial Intelligence Department of Industrial Engineering Ulsan44949 Korea Republic of Ulsan National Institute of Science and Technology Department of Industrial Engineering Department of Mechanical Engineering Ulsan44949 Korea Republic of Unist Department of Mechanical Engineering Ulsan44919 Korea Republic of

ISBN: (纸本)9798350366204

Accurate machining process monitoring (MPM) is crucial to ensure manufacturing process stability and efficiency. In particular, tool wear, surface roughness, and cutting force comprise primary elements of MPM, which are physically interconnected and significantly affect machining quality and productivity. Hence, MPM should be performed through comprehensive consideration of the primary elements and their interactions. Yet, there is a lack of a unified approach to MPM that holistically predicts, which limits the practical applicability of MPM in real-world machining processes. Therefore, this work proposes a novel deep multi-task learning (MTL)-based method that integrates primary MPM elements by simultaneously predicting tool wear, surface roughness, and cutting force. To this end, the proposed method develops a probabilistic multitask likelihood that considers task uncertainty for seamless end-to-end training. The proposed method's efficacy in MPM is validated with real-world datasets from an end-milling process of Ti-6Al-4V. The comprehensive experimental results demonstrate that the proposed method consistently shows superior prediction performance compared to existing single-task and MTL methods, indicating its effectiveness in real-world MPM. © 2024 IEEE.

关键词： Multi-task learning

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UV-LED/P25-based photocatalysis for effective degradation of isothiazolone biocide

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Frontiers of Environmental Science & Engineering 2021年第5期15卷 97-108页

作者： Xinzheng Li Zhiming Li Zhihui Xing Zhimin Song Bei Ye Zhengming Wang Qianyuan Wu Key Laboratory of Microorganism Application and Risk Control of Shenzhen Guangdong Provincial Engineering Research Center for Urban Water Recycling and Environmental SafetyInternational Graduate School at ShenzhenTsinghua UniversityShenzhen518055China China Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen InstituteShenzhen518055China Environmental Management Research Institute National Institute of Advanced Industrial Science and Technology16-1 OnogawaTsukubaIbaraki305-8569Japan

In this work,LED-based photocatalysis using mixed rutile and anatase phase TiO_(2)(P25)as the photocatalyst could effectively remove 5-chloro-2-methyl-4-isothiazolin-3-one(CMIT)and methylisothiazolone(MIT)simultaneously,with removal efficiencies above 80%within 20 *** photocatalytic degradation of both CMIT and MIT could be modeled using a pseudo-first-order rate *** photocatalytic degradation rates of CMIT and MIT under LED280 illumination were higher than under LED310 or LED360 *** concentrations below 100 mg/L,the degradation rate of CMIT and MIT under LED illumination significantly increased with increasing catalyst ***,the effects of the chloride ion concentration,alkalinity and dissolved organic matter on the photocatalytic degradation reaction were also ***·OH free radicals were determined to play the primary role in the photocatalytic degradation reaction,with a degradation contribution of>95%.The photocatalytic degradation of CMIT and MIT mainly occurred via oxidation,hydrolysis,and chain growth ***,the possible photocatalytic degradation pathways of CMIT and MIT over LED/P25 are proposed.

关键词： Degradation Photocatalytic LED CMIT P25

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UWIA-AODV:Improved Ad-Hoc On-Demand Distance Vector Routing Protocol for Underwater Acoustic Sensor Networks

UWIA-AODV:Improved Ad-Hoc On-Demand Distance Vector Routing ...

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第42届中国控制会议

作者： Xueyi Wang Meiqin Liu Senlin Zhang Shanling Dong National Key Laboratory of Industrial Control Technology Zhejiang University College of Electrical Engineering Zhejiang University Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University

In the past a few years,underwater acoustic networks have developed as a powerful technique used for variety of ***-Hoc On-Demand Distance Vector(AODV) is a popular and effective routing protocol,while it is not suitable for underwater usage due to the features of underwater acoustic channel such as low data rate,long delay,limited bandwidth and *** this paper,we propose an improved AODV based on implicit acknowledgement which employs broadcast features of nodes to overhear packets and retransmit those that fail to be *** addition,residual energy is considerded for energy ***,the in-field experiment results shows that our proposed protocol can select the route with more residual energy for energy *** our proposed protocol also outperforms AODV in terms of throughput and packet discovery *** it is more suitable for underwater scenarios that require high transmission reliability.

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Multimodel control of Nonlinear Systems Using A New Weighting Method Based on Gap Metric

Multimodel Control of Nonlinear Systems Using A New Weightin...

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International Conference on Systems and control (ICSC)

作者： Khouloud Elkhalil Ali Zribi Research Laboratory: Numerical Control of Industrial Processes University of Gabes National Engineering School of Gabes Gabes Tunisia Higher Institute of Applied Science and Technology of Gabes

Multi-linear model approach is employed to control a strongly nonlinear process where a global controller is constructed based on a weighted combination of local controller outputs. In this paper, a new weighting method is presented for multimodel control of nonlinear systems, in which the gap metric is used to design weighting functions for local controllers combination. Compared to conventional weighting approaches, the suggested new weighting approach requires just one tuning parameter. It is therefore simple and easy to adjust, and improves closed-loop performance.

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