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Jiangsu Annual Conference on Automation (JACA 2022)

作者： Y. Ni C. Yang X. Liu X. Luan F. Liu The Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Engineering Jiangnan University Wuxi People's Republic of China The Key Laboratory of Smart Manufacturing in Energy Chemical Process (Ministry of Education) Department of Automation East China University of Science and Technology Shanghai People's Republic of China Department of Radiology Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital/Harvard Medical School Boston USA

In this paper we focus on the sensor scheduling for dynamic state estimation among multiple processes. Multiple sensors transmit their measurements to the remote estimator via a shared wireless channel. Only a subset of sensors are allowed to transmit at each time. The objective of the scheduler is to maximize a linear combination of the terminal time estimation error covariances in a log-determinant sense. We develop conditions under which the objective is monotone and submodular. A submodularity-based greedy scheduling algorithm is proposed, and its performance bound is provided. Numerical examples are presented to illustrate the theoretical findings.

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Suitable feature selection for prediction of lithium-ion batteries remaining useful life 7

Suitable feature selection for prediction of lithium-ion bat...

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7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

作者： Ma, Zhengyang Chen, Meili Cao, Jianyuan Yao, Yuan Liu, Yi Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China Hangzhou Arcvideo Technology Co. Ltd. Hangzhou China Shanghai Nuclear Engineering Research and Design Institute Shanghai China National Tsing Hua University Department of Chemical Engineering Taiwan

ISBN: (纸本)9781728162461

In this work, a classification and regression tree (CART) based extreme gradient boosting (XGBoost) model, simply denoted as XCART, is proposed to predict the lithium-ion batteries remaining useful life (RUL). First, the fluctuations in the RUL series are regarded as inherent characteristics, and voltage series which have the similar fluctuations are extracted as important health indicators (HI). Then, the HIs are selected by the feature importance indicator of XCART. After that, XCART is used to learn the selected HIs to acquire the RUL prediction results. Experiments on the NASA Prognostic Center of Excellence dataset show that the proposed XCART method has good prediction performance. © 2020 IEEE.

关键词： Lithium-ion batteries

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Enhanced Photocatalytic Co2 Reduction to Ch4 Using Rgo Supported and AU Coated Tio2 Nanotube Arrays (Tntas)

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SSRN 2023年

作者： Hossen, Md. Arif Khatun, Fatema Muhammad, Aamina Din Aziz, Azrina Abd Leong, Kah Hon Sim, Lan Ching Ikreedeegh, Riyadh Ramadhan Lihua, Wu Monir, Minhaj Uddin Faculty of Chemical and Process Engineering Technology Universiti Malaysia Pahang Pahang Gambang26300 Malaysia Center for Environmental Science & Engineering Research Chittagong University of Engineering and Technology Chattogram4349 Bangladesh Faculty of Civil Engineering Technology Universiti Malaysia Pahang Pahang Gambang26300 Malaysia Department of Environmental Engineering Faculty of Engineering and Green Technology Universiti Tunku Abdul Rahman Kampar Perak 31900 Malaysia Department of Chemical Engineering Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul Rahman Selangor Kajang43200 Malaysia Department of Analysis and Quality Control Sarir Oil Refinery Arabian Gulf Oil Company Benghazi Libya School of Chemical and Energy Engineering Universiti Teknologi Malaysia Johor Johor Bahru81310 UTM Malaysia Kuantan Sunny Scientific Collaboration Sdn. Imbi Plaza Jalan Imbi Bhd. Suites 7.23 7th Floor Kuala Lumpur55100 Malaysia Department of Petroleum and Mining Engineering Jashore University of Science and Technology Jashore7408 Bangladesh

Photocatalytic CO2 reduction into hydrocarbon fuels is one of the most efficient processes since it serves as a renewable energy source while also lowering atmospheric CO2 levels. The development of appropriate materials and technology to attain greater yield in CO2 photoreduction is one of the key issues facing the 21st century. This study successfully fabricated novel ternary reduced graphene oxide/Au-TiO2 nanotube arrays (RGO/ Au-TNTAs) photocatalyst to promote CO2 photoreduction to *** light responsive RGO/ Au-TNTAs composite were synthesized by facile electrochemical deposition of Au nanoparticles (NPs) and immersion of RGO nanosheets onto TNTAs. Under the source of visible light, the maximum yield of CH4 was attained 35.13 ppm/cm2 for RGO/Au-TNTAs composite photocatalyst after 4 h, which was much higher than that of pure TNTAs, Au-TNTAs and RGO-TNTAs. The CO2 photoreduction of RGO/Au-TNTAs composite has been improved due to combined effects of Au NPs and RGO. Due to its surface plasmonic resonance mechanism, Au NPs plays a crucial role as a photosensitizer for the absorption of visible light. Additionally, the middle RGO layers serve as effective electron transporters, facilitating better separation of electron-hole pairs. The newly constructed composite would be a promising photocatalyst for future photocatalytic applications in other fields. © 2023, The Authors. All rights reserved.

关键词： Carbon dioxide

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Cold plasma: a promising technology for improving the rheological characteristics of food

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Critical Reviews in Food Science and Nutrition 2022年第32期63卷 11370-11384页

作者： Kaavya, R. Pandiselvam, R. Gavahian, Mohsen Tamanna, R. Jain, Surangna Dakshayani, R. Khanashyam, Ananda Chandra Shrestha, Pratiksha Kothakota, Anjineyulu Arun Prasath, V. Mahendran, R. Kumar, Manoj Khaneghah, Amin Mousavi Nayik, Gulzar Ahmad Dar, Aamir Hussain Uddin, Jalal Ansari, Mohammad Javed Hemeg, Hassan A. Department of Dairy and Food Science South Dakota State University BrookingsSD United States Physiology Biochemistry and Post-Harvest Technology Division ICAR-Central Plantation Crops Research Institute Kerala Kasaragod India Department of Food Science National Pingtung University of Science and Technology Pingtung Taiwan Innovation and Technology Kraft Heinz Company ChicagoIL United States Department of Biotechnology Mahidol University Bangkok Thailand Department of Food Processing and Quality Control ThassimBeevi Abdul Kader College for Women Tamil Nadu Ramanathapuram India Department of Food Science and Technology Kasetsart University Bangkok Thailand Babarmahal Nepal Kerala Thiruvananthapuram India Department of Food Process Engineering National Institute of Technology Odisha Rourkela India Tamil Nadu Thanjavur India Chemical and Biochemical Processing Division ICAR-Central Institute for Research on Cotton Technology Maharashtra Mumbai India São Paulo Campinas Brazil Department of Food Science and Technology Government Degree College Shopian Jammu & Kashmir Srinagar India Department of Food Technology Islamic University of Science and Technology Kashmir Jammu & Kashmir Awantipora India Department of Pharmaceutical Chemistry College of Pharmacy King Khalid University Abha Saudi Arabia Department of Botany Hindu College Moradabad [Mahatma Jyotiba Phule Rohilkhand University Uttar Pradesh Bareilly India Department of Medical Laboratory Technology College of Applied Medical Sciences Taibah University Medina Saudi Arabia

At the beginning of the 21st century, many consumers show interest in purchasing safe, healthy, and nutritious foods. The intent requirement of end-users and many food product manufacturers are trying to feature a new processing technique for the healthy food supply. The non-thermal nature of cold plasma treatment is one of the leading breakthrough technologies for several food processing applications. The beneficial response of cold plasma processing on food quality characteristics is widely accepted as a substitution technique for new food manufacturing practices. This review aims to elaborate and offer crispy innovative ideas on cold plasma application in various food processing channels. It highlights the scientific approaches on the principle of generation and mechanism of cold plasma treatment on rheological properties of foods. It provides an overview of the behavior of cold plasma in terms of viscosity, crystallization, gelatinization, shear stress, and shear rate. Research reports highlighted that the cold plasma treated samples demonstrated a pseudoplastic behavior. The published literatures indicated that the cold plasma is a potential technology for modification of native starch to obtain desirable rheological properties. The adaptability and environmentally friendly nature of non-thermal cold plasma processing provide exclusive advantages compared to the traditional processing technique. © 2022 Taylor & Francis Group, LLC.

关键词： Viscosity

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Hierarchical Anion Exchange and Reverse Electron Transfer in Ldh/Peroxymonosulfate System for Roxarsone Elimination

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SSRN 2024年

作者： Pei, Wenkai Zheng, Yifan Gao, Jianyu Lei, Juying Liu, Yongdi Zhou, Liang Zhang, Jinlong Wang, Yu National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process East China University of Science and Technology Shanghai200237 China Shanghai Engineering Research Center for Multi-media Environmental Catalysis and Resource Utilization Key Laboratory for Advanced Materials Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research Center School of Chemistry and Molecular Engineering East China University of Science and Technology 130 Meilong Road Shanghai200237 China Department of Molecular Engineering Graduate School of Engineering Kyoto University Kyoto-Daigaku Katsura Nishikyo-ku Kyoto615-8510 Japan State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin150090 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China

Roxarsone (ROX) is the main form of As pollution in the world, and developing effective methods for its elimination is beneficial to human health and ecological environment. Herein, we report glutaraldehyde-crosslinked chitosan encapsulated CoCe-LDH as an outstanding catalyst for the advanced oxidation of ROX and the efficient adsorption of inorganic arsenic. 100% of ROX and more than 98.5% of As(III)/As(V) were eliminated, and over 99.3% of remained inorganic arsenic was oxidized to low toxicity As(V) in the PMS-activation system, and some specific properties of LDH are considered the main reasons. The hierarchical anion exchange has been confirmed to be beneficial for constructing a high concentration PMS inter layer microenvironment. And the unique reverse electron transfer process induced the 100% selective production of singlet oxygen. This work not only develops an advanced ROX removal method, but also provides a new understanding of LDH-based advanced oxidation process. © 2024, The Authors. All rights reserved.

关键词： chemical activation

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A combined computational-fluid-dynamics model and control strategies for perfusion bioreactor systems in tissue engineering

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IFAC-PapersOnLine 2021年第3期54卷 324-329页

作者： Ioana Nascu Daniel Sebastia-Saez Tao Chen Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China Department of Chemical and Process Engineering University of Surrey GU2 7XH Guildford United Kingdom

This work sets the foundations for the design of control algorithms to facilitate manufacturing of a cell growth process using a continuous perfusion bioreactor. The algorithms are designed to work with different types of cell cultures and deal with major disturbances that might appear in the process. Different types of control strategies are designed, implemented and tested. First, a comprehensive mathematical model of convection and diffusion in a perfusion bioreactor, combined with cell growth kinetics, is developed and implemented using Computational Fluid Dynamics. The model describes the spatio-temporal evolution of glucose concentration and cell density within a 3D polymeric scaffold. Since such a model is too complex to be used directly for control studies, a simplified version is used for the design of the controllers. Finally, the performances of the control strategies are validated against the original high-fidelity CFD model, thus closing the loop. The simulations show good performances and satisfactory behavior.

关键词： tissue engineering perfusion bioreactor CFD modeling PID

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Global Sensitivity Analysis for a perfusion bioreactor system in tissue engineering

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IFAC-PapersOnLine 2021年第15期54卷 550-555页

作者： Ioana Nascu Tao Chen Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China Department of Chemical and Process Engineering University of Surrey GU2 7XH Guildford United Kingdom

This work presents a global sensitivity analysis and simulations of a perfusion bioreactor process using the method of high-dimensional model representation (HDMR). This method was developed to express the input–output relationships of a complex model with a high dimensional input space. The comprehensive mathematical model of convection and diffusion in a perfusion bioreactor, combined with cell growth kinetics, is developed and implemented using Computational Fluid Dynamics (with the commercial software COMSOL Multiphysics v5.5). The model describes the spatio-temporal evolution of glucose concentration, oxygen concentration, lactate concentration and cell density within a 3D polymeric scaffold. A quantitative analysis of the complex kinetic mechanisms using recent development of advanced mathematical approaches to global sensitivity and uncertainty analysis through HDMR can be exploited to investigate the important features of the perfusion bioreactor process as well as possible factors underlying qualitative discrepancies.

关键词： tissue engineering perfusion bioreactor CFD modeling high-dimensional model representation global sensitivity analysis

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Transformed Manipulated Variables for Linearization, Decoupling and Perfect Disturbance Rejection

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IFAC-PapersOnLine 2020年第2期53卷 4052-4057页

作者： Cristina Zotică Nicholas Alsop Sigurd Skogestad Department of Chemical Engineering Norwegian University of Science and Technology N-7491 Trondheim Norway Senior Process Control Engineer Borealis AB Stenungsund Sweden

The objective of this work is to find new transformed manipulated variables (MVs) for nonlinear systems which linearize and decouple the system, and give perfect disturbance rejection (at least at steady-state). The proposed new input transformation is more general than feedback linearization in that it also allows for multiple-inputs multiple-outputs (MIMO) systems, disturbances, a more general class of models, and introduces a tuning parameter τ 0 . The key idea is to use decentralized SISO controllers for the output y using the new transformed inputs v as MVs. The SISO controllers give v , and a nonlinear calculation block solves algebraic equations which explicitly gives the original input u as a function of the controller output v , output y and disturbances d. The calculation block also handles decoupling, and feedforward action from the disturbance d. This new procedure can be applied both for static and dynamic processes, which is typical in process control.

关键词： linearization decentralized control decoupling problems process control disturbance rejection

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Design,modeling and experiments of broadband tristable galloping piezoelectric energy harvester

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Acta Mechanica Sinica 2020年第3期36卷 592-605页

作者： Junlei Wang Linfeng Geng Shengxi Zhou Zhien Zhang Zhihui Lai Daniil Yurchenko Engineering Research Center of Energy Saving Technology and Equipment of Thermal Energy System Ministry of EducationZhengzhou 450000China School of Aeronautics Northwestern Polytechnical UniversityXi'an 710072China William G.Lowrie Department of Chemical and Biomolecular Engineering The Ohio State UniversityColumbusOH 43210USA Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China Institute of Mechanical Process&Energy EngineeringHeriot-Watt UniversityEdinburgh EH 144ASUK

Galloping based piezoelectric energy harvester is a kind of micro-environmental energy harvesting device based on flowinduced vibrations.A novel tristable galloping-based piezoelectric energy harvester is constructed by introducing a nonlinear magnetic force on the traditional galloping-based piezoelectric energy *** on Euler-Bernoulli beam theory and Kirchhoff’s law,the corresponding aero-electromechanical model is proposed and validated by a series of wind tunnel *** parametric study is performed to analyse the response of the tristable galloping-based piezoelectric energy *** results show that comparing with the galloping-based piezoelectric energy harvester,the mechanism of the tristable galloping-based piezoelectric energy harvester is more *** the increase of a wind speed,the vibration of the bluff body passes through three branches:intra-well oscillations,chaotic oscillations,and inter-well *** threshold wind speed of the presented harvester for efficiently harvesting energy is 1.0 m/s,which is decreased by 33% compared with the galloping-based piezoelectric energy *** maximum output power of the presented harvester is 0.73 mW at 7.0 m/s wind speed,which is increased by 35.3%.Compared with the traditional galloping-based piezoelectric energy harvester,the presented tristable galloping-based piezoelectric energy harvester has a better energy harvesting performance from flow-induced vibrations.

关键词： Energy harvesting Galloping Tristable Flow induced vibrations

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Chronic exposure to 3,6-dichlorocarbazole exacerbates non-alcoholic fatty liver disease in zebrafish by disrupting lipid metabolism and inducing special lipid biomarker accumulation

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Chemosphere 2024年 352卷 141442页

作者： Hou, Cunchuang Huang, Mengyao Wang, Pingping Zhang, Qiaoyun Wang, Guowei Gao, Shixiang School of Environmental Ecology and Biological Engineering Key Laboratory for Green Chemical Process of Ministry of Education Wuhan Institute of Technology Wuhan 430205 China Department of Human Microbiome & Implantology & Orthodontics School and Hospital of Stomatology Cheeloo College of Medicine Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration Jinan 250012 China State Key Laboratory of Pollution Control and Resource Reuse School of the Environment Nanjing University Nanjing 210093 China

Most previous studies have focused primarily on the adverse effects of environmental chemicals on organisms of good healthy. Although global prevalence of non-alcoholic fatty liver disease (NAFLD) has reached approximately 25%, the impact of environmentally persistent organic chemicals on organisms with NAFLD is substantially unknown. Polyhalogenated carbazoles (PHCZs) as emerging contaminants have been frequently detected in the environment and organisms. In this study, we investigated the impact of the most frequently detected PHCZs, 3,6-dichlorocarbazole (36-CCZ), on zebrafish with high-fat diet (HFD)-induced NAFLD. After 4 weeks exposure to environmentally relevant concentrations of 36-CCZ (0.16–0.45 μg/L), the accumulation of lipid in zebrafish liver dramatically increased, and the transcription of genes involved in lipid synthesis, transport and oxidation was significantly upregulated, demonstrating that 36-CCZ had exacerbated the NAFLD in zebrafish. Lipidomic analysis indicated that 36-CCZ had significantly affected liver lipid metabolic pathways, mainly including glycerolipids and glycerophospholipids. Additionally, fifteen lipids were identified as potential lipid biomarkers for 36-CCZ exacerbation of NAFLD, including diacylglycerols (DGs), triglycerides (TGs), phosphatidylcholines (PCs), phosphatidylethanolamines (PEs), phosphatidic acid (PA), and phosphatidylinositol (PI). These findings demonstrate that long-term exposure to 36-CCZ can promote the progression of NAFLD, which will contribute to raising awareness of the health risks of PHCZs. © 2024 Elsevier Ltd

关键词： Adverse effects Histological analysis Lipidomic analysis Persistent organic pollutants Polyhalogenated carbazoles

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