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Chinese control and Decision Conference, CCDC

作者： Xiaoqing Liu Sen Zhang Wendong Xiao School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Shunde Graduate School University of Science and Technology Beijing Foshan China Beijing Engineering Research Center of Industrial Spectrum Imaging Beijing China

ISBN: (纸本)9781665478977

Emotion Recognition plays a key role in human social activities. Most current methods choose facial information for emotion recognition. But facial information is easily limited by distance in large scenes. Gait information can break this limitation, but the amount of publicly available data is small. This paper proposes two feature fusion network based on efficient deep residual shrinkage spatial-temporal graph convolution to achieve automatic emotion recognition from gaits in large scenes. Firstly chebyshev polynomial approximation graph convolution is combined with efficient deep residual shrinkage network to obtain efficient deep residual shrinkage spatial-temporal graph convolution network to extract deep features. Then sixteen temporal affective features extracted from gaits are used as input of efficient deep residual shrinkage network to extract new affective features. Finally the deep features is spliced with new affective features to divided emotion into happy,angry,sad and neutral. We performed a ten-flod cross-validation experiment on the E-gait real datasets. The highest recognition accuracy is 0.87, with an average of 0.85. Experimental results show that the proposed model is effective in dealing with emotion recognition promblem from gait in fewer sample situation.

关键词： Emotion recognition Convolution Chebyshev approximation Feature extraction

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Research on Denoising Method Based on Iterative SVD Decomposition

Research on Denoising Method Based on Iterative SVD Decompos...

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Chinese Automation Congress (CAC)

作者： Dongting Chu Bingyou Liu Guoyang Wan Jingjing Qi Luanfei Wan College of Electrical Engineering Anhui Polytechnic University Wuhu China The Key Lab. of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Anhui Polytechnic University Wuhu China Wuhu HIT Robot Industrial Technology Research Institute Co. Ltd Wuhu China College of Electrical Engineering Wuhu Institute of Technology Wuhu China

In response to the poor denoising ability of Singular Value Decomposition (SVD), and the extracted motion waveform containing some residual noise signals, this paper proposes an iterative SVD decomposition denoising method. Firstly, the original signal is constructed into a binary recursive matrix form, and then SVD decomposition is used to obtain singular values with different contributions to the original matrix. Then, singular values with small contributions are discarded, while those with large contributions are retained. By modifying the signal reconstruction method, the denoised signal can be obtained once, and the required signal can be obtained by repeating the above process continuously. In simulation experiments and tuning fork vibration experiments, this article uses the iterative SVD decomposition denoising method and two existing denoising methods to denoise signals containing noise and uses signal-to-noise ratio (SNR) and root mean square error method (RMSE) as denoising performance indicators for data comparison, confirming the effectiveness and superiority of iterative SVD decomposition denoising method and its excellent denoising ability. In the tuning fork vibration experiment, the error between the measured results and the actual results is 0.3125%, proving that this denoising method has practical application value.

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Respiratory Rate Measurement Method Based on Singular Value Decomposition

Respiratory Rate Measurement Method Based on Singular Value ...

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Chinese Automation Congress (CAC)

In order to enhance the measurement accuracy of respiratory rate, a respiratory rate measurement method based on high-speed vision is presented in this paper. Initially, a high-speed camera is utilized to capture the experimenter's chest breathing movement video sequence, and singular value decomposition (SVD) is applied to extract the displacement resulting from respiratory movement. However, the extracted motion waveform contains some noise signals due to the poor denoising capabilities of SVD. To address this issue, an improved wavelet denoising approach is proposed in this paper to enhance the accuracy of respiratory measurement frequency. Finally, the respiratory frequency measurement method based on high-speed vision is simulated and experimented, and the respiratory rate is calculated through spectral analysis. The experiments indicate that the proposed method can accurately extract the respiratory displacement signal and effectively denoise it, making it convenient for practical use.

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Research on an Improved Hybrid Fault-Tolerant control Method for NCS Based on DETCS 5

Research on an Improved Hybrid Fault-Tolerant Control Method...

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5th International Conference on control Science and Systems Engineering, ICCSSE 2019

作者： Wang, Jun Ling, Miaomiao College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Key Lab of Advanced Control for Industrial Process Lanzhou University of Technology Lanzhou China

ISBN: (纸本)9781728145303

In this paper, the linear networked control system (NCS) with any actuator failures is discussed. The offline design of the fault-tolerant controller under the discrete event triggering communication mechanism (DETCS) and the control problem of online scheduling and compensation are studied. Firstly, according to certain rules, the actuator fault is divided into four sections. By constructing Lyapunov-Krasovskii functional and improved Jesson inequalities, a set of controllers with less conservativeness is designed based on common faults in the interval. Secondly, when the fault detection observer detects the fault, the corresponding interval controller is dispatched through the scheduling mechanism. In case of sudden and rare failure within the interval, the controller in which the fault occurs should be compensated to meet the fault-tolerant control requirements. Finally, a simulation example is given to verify the correctness and effectiveness of the proposed method. © 2019 IEEE.

关键词： Fault detection

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An Improved Chimp Optimization Algorithm for Short-term Hydrothermal Scheduling

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2022年第3期49卷 666页

作者： Chen, Gonggui Wang, Shumin He, Yongsheng Shang, Wanfeng Long, Hongyu Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing University of Posts and Telecommunications Chongqing400065 China State Grid Chongqing Electric Power Company Chongqing400015 China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Shenzhen518055 China Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China

The short-term hydrothermal scheduling (STHS) is a complex non-linear, non-convex and high-dimensional mathematical optimization problem. Due to the fact that the original chimp optimization algorithm (ChOA) is likely to fall into local optimum and has the disadvantage of low population diversity, an improved chimp optimization algorithm (IChOA) is proposed to solve the STHS problem. Firstly, Logistic-Tent chaotic mapping is employed to initialize the population and increase the population diversity. Then a new nonlinear convergence factor is introduced to make the optimization search process more applicable to STHS problems. Next, particle swarm algorithm (PSO) and gravitational search algorithm (GSA) are combined to enhance the shortcoming and balance the global search ability and local exploration ability of ChOA. Moreover, Cauchy mutation and opposition-based learning strategy are supplemented as perturbation interference when the optimal position is not updated to improve the ability to leap out of the local optimum. Finally, a graded optimization strategy is adopted for the constraint handing of dynamic reservoir balance and thermal power balance. Three standard hydrothermal power systems are utilized to verify the practicability and validity of the proposed method. Results of simulations reveal that IChOA has significant competitive advantages in addressing the STHS problem. © 2022, IAENG International Journal of Computer Science. All Rights Reserved.

关键词： Particle swarm optimization (PSO)

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

SSRN

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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 Binary Dumbbell Visible Light Driven Photocatalyst for Simultaneous Hydrogen Production with the Selective Oxidation of Benzyl Alcohol to Benzaldehyde

SSRN

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SSRN 2024年

作者： Tayyab, Muhammad Mansoor, Seemal Akmal, Zeeshan Khan, Mazhar Zhou, Liang Lei, Juying Zhang, Jinlong Key Laboratory for Advanced Materials Shanghai Engineering Research Center for Multimedia Environmental Catalysis and Resource Utilization 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 Shanghai200237 China Institute of Materials Research Tsinghua Shenzhen International Graduate School Tsinghua University Guangdong Shenzhen518055 China 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 Institute of Pollution Control and Ecological Security Shanghai200092 China State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology Harbin150090 China

Photocatalytic H2 production with selective oxidation of organic moieties in an aqueous medium is a fascinating research area. However, the rational design of photocatalysts and their photocatalytic performance are still inadequate. In this work, we efficiently synthesized the MoS2 tipped CdS nanowires (NWs) photocatalyst using soft templates via the two-step hydrothermal method for efficient H2 production with selective oxidation of benzyl alcohol (BO) under visible light illumination. The optimized MoS2 tipped CdS NWs (20% MoS2) photocatalyst exhibits the highest photocatalytic H2 production efficiency of 13.55 mmol g-1 h-1 with 99% selective oxidation of BO, which was 42.34 and 2.21 times greater photocatalytic performance than that of pristine CdS NWs and MoS2/CdS NWs, respectively. The directional loading of MoS2 at the tips of CdS NWs (as compared to nondirectional MoS2 at CdS NWs) is the key factor towards superior H2 production with 99% selective oxidation of BO and has an inhibitory effect on the photo corrosion of pristine CdS NWs. Therefore, the amazing enhancement in the photocatalytic performance and selectivity of optimized MoS2 tipped CdS NWs (20% MoS2) photocatalyst is due to the spatial separation of their photoexcited charge carriers through the Schottky junction. Moreover, the unique structure of MoS2 flower at the tip of 1D CdS NWs offers separate active sites for adsorption and surface reactions such as H2 production at the MoS2 flower (confirmed by Pt photo deposition) and subsequently the selective oxidation of BO at the stem of CdS NWs. This rational design of a photocatalyst could be an inspiring work for the further development of efficient photocatalytic system for H2 production with selective oxidation of BO (a strategy of mash two potatoes with one fork). © 2024, The Authors. All rights reserved.

关键词： Precious metals

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Cu-loaded C₃N₄-MgO nanorods for promising antibacterial and dye degradation

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Applied Nanoscience (Switzerland) 2022年第8期12卷 2443-2458页

作者： Akbar, M.U. Ikram, M. Imran, M. Haider, A. Ul-Hamid, A. Dilpazir, S. Shahzadi, I. Nazir, G. Shahzadi, A. Nabgan, W. Haider, J. Solar Cell Applications Research Lab Department of Physics Government College University Punjab Lahore 54000 Pakistan State Key Laboratory of Chemical Resource Engineering Beijing Advanced Innovation Centre for Soft Matter Science and Engineering Beijing Engineering Center for Hierarchical Catalysts Beijing University of Chemical Technology Beijing 100029 China Faculty of Veterinary and Animal Sciences Muhammad Nawaz Shareef University of Agriculture Punjab Multan 66000 Pakistan Core Research Facilities King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia CAS Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing China Punjab University College of Pharmacy University of the Punjab Lahore 54000 Pakistan Department of Nanotechnology and Advanced Materials Engineering Sejong University Seoul 05006 South Korea Faculty of Pharmacy University of the Lahore Lahore Pakistan School of Chemical and Energy Engineering Faculty of Engineering Universiti Teknologi Malaysia Johor Skudai 81310 Malaysia Departament d’Enginyeria Química Universitat Rovira I Virgili Av Països Catalans 26 Tarragona 43007 Spain Tianjin Institute of Industrial Biotechnology Chinese Academy of Sciences Tianjin 300308 China

Photocatalytic and magnetic stability of two-dimensional nanomaterials is enhanced by metal doping, which is an environmentally friendly technique used in various industries. There is an urgent need to discover new antimicrobial compounds or extracts to address the crucial problem of increasing microbial resistance against current antibiotics. Similarliy, the whole world is facing water crisis and a possible cost-effective solution is photocatalysis. In this study, an economical and convenient co-precipitation method was adopted to synthesize copper (Cu) loaded graphitic carbon nitride (g-C₃N₄) and magnesium oxide (MgO) composites. Various concentrations (2.5, 5, 7.5, and 10%) of Cu were doped into a fixed amount of g-C₃N₄/MgO nanostructures for efficient photocatalytic and antimicrobial activities. Results showed that 2.5% Cu loaded samples exhibited best possible results for the photocatalytic activity and 10% loaded Cu nanocomposites displayed enhanced antimicrobial performance. Improved crystallinity and increase in crystal size upon doping were confirmed with X-ray differaction (XRD) analysis, which was corroborated with Selected Area Electron Diffraction (SAED) results. Fourier-transform infrared spectroscopy (FTIR) revealed that MgO spectra consisted of stretching vibrations of Mg-O bond and other functional groups with minor changes in the vibrational modes upon doping. An high resolution transmission electron microscope (HRTEM) fitted with Gatan ® digital software indicated hexagonal phase formation in as-prepared samples and nanorods upon doping, with confirmed d-spacing values. The UV–visible spectroscopy (UV–Vis) analysis exhibited a slight redshift in absorption intensity leading to decreased bandgap (Eg) for Cu-loaded g-C₃N₄/MgO. Photoluminescence (PL) spectra were acquired to investigate the recombination of electron–hole pairs. X-ray photoelectron spectroscopy (XPS) was employed to eva

关键词： Antimicrobial Co-precipitation, g-C3N4, nanorods DSC MgO XPS

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Polyvinyl chloride microplastics and drought co-exposure alter rice growth by affecting metabolomics and proteomics

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Science of the Total Environment 2024年 955卷 177002页

作者： Khan, Kiran Yasmin Ali, Barkat Ghani, Hafiz Usman Cui, Xiaoqiang Luo, Xiaohan Ali, Zeshan Ahmed, Waqar Tan, Jinglu Lysenko, Vladimir Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi214122 China Food Science Research Institute National Agricultural Research Centre Islamabad44000 Pakistan Hebei Medical University Shijiazhuang050000 China School of Environmental Science and Engineering/Tianjin Key Lab of Biomass Waste Utilization Tianjin University Tianjin300072 China Ecotoxicology Research Program Institute of Plant and Environmental Protection National Agriculture Research Center Islamabad44000 Pakistan Department of Biomedical Biological & Chemical Engineering University of Missouri ColumbiaMO65211 United States Southern Federal University Academy of Biology and Biotechnology Rostov-on-Don344041 Russia International Joint Research Center for Intelligent Optical Sensing and Applications at Jiangnan University Wuxi214122 China

Microplastics, interacting with drought stress, have become threat to crops by altering soil environment. Currently, the effect of combined microplastic and drought stress on crop growth remain poorly understood. In this work, the mechanism of multi-stress responses was investigated under the exposure of polvinylchloride microplastic (PV) and drought (D) individually and in combination (DPV) on rice varieties Hanyou73 and Q280 through proteomics and metabolomic analysis. All treatments negatively affect chlorophyll content, antioxidant enzyme activities, rice grain composition, metabolome and proteomic profiling of both rice varieties. Full rice grain yield was decreased under all treatments except PV treatment in which it was increased in both rice varieties. DPV treatment shows the lowest grain yield and more adverse effects on metabolome by affecting glycerophospholipid metabolism, tryptophan metabolism and alanine, aspartate and glutamate metabolism. Soluble sugar contents were decreased in H73 but in Q280 increased by 159 % under DPV and 123 % in PV treatment, compared to their control group. The results from metabolomics illustrate that glycerophospholipid metabolism is commonly altered in both rice types under all treatments. PV and drought alone and in combination induce extensive alterations in proteomics of rice leaves especially impacting proteins related to binding, translation and photosynthetic process. The results reveal that PV and DPV treatments highly distort the abundance of metabolites and proteins in both rice types, demonstrating that microplastic toxicity effects on rice plants become more severe when combined with drought stress. © 2024 Elsevier B.V.

关键词： Drought Metabolite Polyvinyl chloride microplastic Protein Rice

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Transcriptome analysis of unsaturated fatty acids biosynthesis shows essential genes in sprouting of Acer truncatum Bunge seeds

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Food Bioscience 2021年 41卷

作者： Chen, Dong-Ju Luo, Xue-Gang Yan, Li-Hua Si, Chuan-Ling Wang, Nan He, Hong-Peng Zhang, Tong-Cun Key Lab of Industrial Fermentation Microbiology of the Ministry of Education Tianjin Key Lab of Industrial Microbiology College of Biotechnology Tianjin University of Science and Technology Tianjin 300457 China Tianjin Engineering Research Center of Microbial Metabolism and Fermentation Process Control Tianjin 300457 China Tianjin Key Laboratory of Pulp & Paper Tianjin University of Science & Technology Tianjin 300457 China

The seeds of Acer truncatum Bunge (ATB) are rich in unsaturated fatty acids (UFA), especially nervonic acid, an important nutrient for the growth and maintenance of the brain. Therefore, the oil of ATB seeds has been approved as a New Resource Food in China. In the present study, changes of transcriptomic profiling and contents of UFA during the sprouting of ATB seeds were analyzed. The results of RNA-seq-based transcriptome analysis showed that the transcription of genes in various metabolic pathways, including the biosynthesis pathway of UFA, were significantly altered during seed sprouting. The gas chromatography-mass spectrometry assay consistently showed that the content of palmitoleic acid, palmitic acid, stearic acid, gondoic acid, arachidic acid, behenic acid, nervonic acid and lignoceric acid increased 77.9, 20.9, 39.6, 26.3, 95.6, 80.0, 41.7 and 141%, respectively, while the content of oleic acid decreased 49.2%, after sprouting. The whole coding sequence regions of genes involved in the UFA biosynthesis were cloned and sequenced, and the alignment analysis predicted that omega-6 fatty acid desaturase and short-chain type dehydrogenase/reductase might have important roles in the biosynthesis of UFA during the sprouting. The results suggested that nervonic acid could be enriched in ATB seeds via sprouting-stimulation, which had not been previously observed. © 2020

关键词： Acer truncatum Bunge Bioinformatics analysis Cloning Transcriptome sequencing Unsaturated fatty acids Yuanbao maple

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