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Chinese control Conference (CCC)

作者： keyang Wang Rui Zhao Yintao Wang School of Marine Science and Technology Northwestern Polytechnical University Xi'an P. R. China National Key Laboratory of Underwater Information and Control Xi'an P. R. China The 705 Research Institute of China State Shipbuilding Corporation Limited Xi'an P. R. China

Defense-intrusion games are fascinating in both nature and the artificial world. In these games, the purpose of defender is to protect the target from being attacked by the intruder, and if possible, capture the intruder. This article solves the defense-intrusion game with considering the bio-inspired model adopted by two agents-a defender and an intruder, and obtains the attack and interception strategies. The intruder usually need to avoid the defender, so we provide attack strategy based on setting the intruder's emergency maneuver distance, and compare it with the strategy based on artificial potential field method proposed in our previous work. For the defender, we design a radical interception strategy and a conservative interception strategy according to different circumstances. Numerical simulations are conducted to illustrate the effectiveness of the proposed strategies. The results are consistent with natural observations and disclose some natural laws in the defense-intrusion scenario. This paper will provide a reference for the research of intrusion prevention related to marine robots.

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Fault Diagnosis for Wind Turbine Flange Bolts Based on One-Dimensional Depthwise Separable Convolutions

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The International Journal of Intelligent control and Systems 2024年第1期29卷 42-47页

作者： Yongchao Liu Shuqing Dong Qingfeng Wang Wenhe Cai Ruizhuo Song Qinglai Wei North China Electric Power Test and Research Institute China Datang Corporation Science and Technology Research Institute Company LimitedBeijing 100040China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100040China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China

In this paper,a new bolt fault diagnosis method is developed to solve the fault diagnosis problem of wind turbine flange bolts using one-dimensional depthwise separable *** main idea is to use a one-dimensional convolutional neural network model to classify and identify the acoustic vibration signals of bolts,which represent different bolt damage *** the methods of knock test and modal simulation,it is concluded that the damage state of wind turbine flange bolt is related to the natural frequency distribution of acoustic vibration *** is found that the bolt damage state affects the modal shape of the structure,and then affects the natural frequency distribution of the bolt vibration ***,the damage state can be obtained by identifying the natural frequency distribution of the bolt acoustic vibration *** the present one-dimensional depth-detachable convolutional neural network model,the one-dimensional vector is first convolved into multiple channels,and then each channel is separately learned by depth-detachable convolution,which can effectively improve the feature quality and the effect of data *** the perspective of the realization mechanism of convolution operation,the depthwise separable convolution operation has fewer parameters and faster computing speed,making it easier to build lightweight models and deploy them to mobile devices.

关键词： Wind turbine flange bolts one-dimensional convolutional neural network(1DCNN)model depthwise separable convolutions damage identification

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Hapten Synthesis, Monoclonal Antibody Production and Immunoassay Development for Analysing Spiropidion Residues

SSRN

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SSRN 2024年

作者： Jin, Yaqi Sun, Di Jin, Zihui Xu, Bo Zhao, Qiyang He, Yue Gong, Lei Li, Jing Zhang, Yaohai Cui, Yongliang Liu, Yifan Key Laboratory of Quality and Safety Control of Citrus Fruits Ministry of Agriculture and Rural Affairs Southwest University Chongqing400712 China National Citrus Engineering Research Center Chongqing400712 China Ministry of Agriculture Citrus Research Institute Southwest University Chongqing400712 China Key Laboratory of Detection Technology of Focus Chemical Hazards in Animal-derived Food for State Market Regulation Hubei Provincial Institute for Food Supervision and Test Wuhan430075 China

Spiropidion developed by Syngenta shows high insecticidal and acaricidal activity against a wide range of sucking pests. In this study, according to the structure of spiropidion, two haptens were synthesized by introducing carboxyl groups from the ester group. After cell fusion, a monoclonal antibody (mAb 8B5) of spiropidion was obtained. The IC50 of the established heterologous indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) was 7.36 ng/mL, and its working range was 1.75-34.92 ng/mL. The average recoveries were 76.05-124.78% in the Yangtze River and citrus samples. Moreover, the ic-ELISA results of 15 citrus samples agreed well with ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Overall, the established ic-ELISA could be applied for the spiropidion residue monitor in food and agricultural samples. © 2024, The Authors. All rights reserved.

关键词： Monoclonal antibodies

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Experimental study on echo acquisition based on the correlation of low reverberation 49

Experimental study on echo acquisition based on the correlat...

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49th International Congress and Exposition on Noise control Engineering, INTER-NOISE 2020

作者： Yang, Baoshan Ma, Zhongcheng Zhu, Lingguo Liu, Wenzhang Dalian Scientific Test and Control Technology Institute 16 Binhai street Zhongshan District Dalian Liaoning China Science and Technology on Underwater Test and Control Laboratory 16 Binhai street Zhongshan District Dalian Liaoning China Harbin Engineering University No.145 Nantong street Nangang District Harbin City Heilongjiang Province China

ISBN: (纸本)9788994021362

In order to solve the problem of strong reverberation interference in the test of low-frequency echo characteristics of targets, the reverberation suppression method based on the time-space correlation characteristics of low-frequency reverberation is studied, and the real-time matching and suppression method of reverberation based on the separation of target echo and background reverberation based on target motion is proposed. The results show that, based on the matching processing of background reverberation and target echo parameters, this method can significantly reduce the low-frequency reverberation background in the test water area, and the reverberation in the lake test environment can be reduced by more than 10 dB, and the suppression effect is related to the correlation coefficient and phase difference of reverberation. This method has reference value for practical engineering application. © Proceedings of 2020 International Congress on Noise control Engineering, INTER-NOISE 2020. All rights reserved.

关键词： Reverberation

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Effect of Synergistic Microalloying on the Microstructural Optimization of Mo/Nial Alloy with Excellent Mechanical Properties Under Rapid Non-Equilibrium Solidification

SSRN

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SSRN 2024年

作者： Zhong, Xinmiao Li, Yilu Yang, Hong-Yu Shao, Yong Jia, Meng Qiu, Feng Jiang, Qichuan State Key Laboratory of Automotive Simulation and Control Jilin University China Key Laboratory of Automobile Materials Ministry of Education Department of Materials Science and Engineering Jilin University Renmin Street NO. 5988 Jilin Province Changchun130025 China School of Materials Science and Engineering Jiangsu University of Science and Technology Zhenjiang212003 China QA Department and Test Center FAW-Volkswagen Automotive Co. Ltd Jilin Province Changchun130011 China

Low room-temperature plasticity and poor high-temperature strength extremely restrain the extensive application of NiAl composites. Herein, our work synergistically optimized the NiAl microstructure via alloying of Mo to relieve imbalance of strength ductility under rapid non-equilibrium solidification supplemented with the first principle calculation. Remarkably, the addition of Mo significantly refined the microstructure of NiAl-15Mo. Moreover, enhanced by the uniform precipitation Mo phase, the coordinately deformed Mo phase at the grain boundary and the partial Mo solid solution occupied Ni sites, the NiAl-15Mo showed superior strength-ductility. The mechanical properties (σ0.2, σUCS, UT) of NiAl-15Mo composites at room temperature were 944 MPa, 1841 MPa, and 27068 MPa·%, which were increased by ~55.3%, ~48.7% and ~41.0% compared with the conventional NiAl composites, respectively. In particular, owing to solid-solution Mo atoms restrict the climb of dislocations and the stronger covalent bond orbital hybridization between Ni-3d and Mo-4d, the mechanical properties (σ0.2, σUCS, UT) of NiAl-15Mo at 1000 ℃ are 212 MPa, 265 MPa and 7922 MPa·%, which has an increase of ~175.3 %, ~120.8 % and ~228.0%, respectively. This work provides a new perspective to manipulate and coordinate Mo multiple reinforcing ways and achieve the high strength and plasticity of NiAl composites. © 2024, The Authors. All rights reserved.

关键词： Ductility

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Nitrogen Removal Performance and Sludge Characteristics of Wastewater from Industrial Recirculating Aquaculture Using Anammox Coupled with Denitrification

SSRN

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SSRN 2022年

作者： Jian, Jianxiong Sun, Shuiyu Guan, Zhijie Liao, Xiaojian Li, Shoupeng Chen, Shaojin Huang, Zhenhua Chen, Junhao Zhou, Xingfan Zhang, Yumin Yin, Baixuan Guangzhou Key Laboratory Environmental Catalysis and Pollution Control Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and Engineering Institute of Environmental Health and Pollution Control Guangdong University of Technology Guangzhou510006 China Guangdong Province Solid Waste Recycling and Heavy Metal Pollution Control Engineering Technology Research Center Guangdong Polytechnic of Environmental Protection Engineering Foshan528216 China Analysis and Test Center Guangdong University of technology Guangzhou510006 China

Wastewater from industrial recirculating aquaculture systems (IRAS) is highly susceptible to eutrophication and may harm aquatic organisms. To address this problem, we applied a simultaneous anammox and denitrification (SAD) process to treat IRAS wastewater, conducting a static research test and dynamic continuous test lasting 132 days. The results showed that the optimal working parameters of the SAD process were: Temperature (T) = 30℃, pH = 8, Dissolved Oxygen (DO) = 0-0.3 mg/L, solid-liquid ratio = 1:1. At 132 d of operation, the NO2-N : NH4+-N : NO3-N ratio was 1.27 : 1 : 0.08, and the NH4+-N, NO2-N, and TN removal rates were 93.13%, 93.54%, and 89.42%, respectively. The average particle size of the anammox granular sludge increased from 1 mm to 1 cm;the extracellular polymeric substances (EPS) content increased;and the heme content increased from 1.00 mg•g-1 to 2.72 mg•g-1. These results showed a gradual increase in anaerobic ammonia oxidation bacteria (AnAOB) activity. The 16S rRNA gene sequencing results revealed that the community structure is gradually unitary and the genus Candidatus Kuenenia became the dominant bacterium of AnAOB in the dynamic UASB reactor, enhancing the nitrogen removal efficiency. The abundance of denitrifying bacteria also increased. This indicated that the synergistic effect of AnAOB and denitrifying bacteria in nitrogen removal was excellent. The SAD process has high nitrogen removal efficiency and wide applicability, providing a strong theoretical basis and supporting data for subsequent industrial applications. © 2022, The Authors. All rights reserved.

关键词： Nitrogen removal

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Effective prediction of organosilicon molecular structures and risks in aquatic environment with machine learning

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Science of the Total Environment 2025年 959卷 178320页

作者： Cao, Shengyu Tian, Youliang Zhao, Rusong Gu, Wen Tang, Song Xu, Lin Cai, Yaqi State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China School of Environment Hangzhou Institute for Advanced Study UCAS Hangzhou330106 China Guizhou Environmental Scientific Research and Design Institute Guizhou Guiyang550081 China Shandong Analysis and Test Center Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province Jinan250014 China China CDC Key Laboratory of Environment and Population Health National Institute of Environmental Health Chinese Center for Disease Control and Prevention Beijing100021 China Center for Global Health School of Public Health Nanjing Medical University Jiangsu Nanjing211166 China

Until now, mass spectrometry databases lack molecular information of most organosilicon oligomers, and risk models needing accurate molecular descriptors are unavailable for these emerging contaminants with thousands of monomers. To address this issue, based on molecular/fragment ions and relative abundance from GC-Orbitrap-MS, this study developed appropriate classification (accuracies = 0.750–0.804) and regression (MSE = 0.008–0.014) models through neural network and support vector framework for organosilicon main/branch chain structures, which were subsequently used for speculating their persistent, bio-accumulative and toxic (PBT) potentials with neural networks (MSE = 0.002–0.017). By these methods, 116 oligomers [with 1–7 Si atoms, Si[sbnd]O (68.6 %) or C[sbnd]C (31.4 %) backbones, cyclic (14.7 %) or linear (85.3 %) structure, and six kinds of branch groups] were identified in waters from 21 Chinese cities, where hazard indices of total organosilicons were larger than 1 in 17 cities, with 5–43 oligomers first found in rivers showing persistent, bio-accumulative or toxic potential. Characteristic oligomers indicated dyeing, textile, and petrochemical industries making major contribution (13.1–34.8 %) to local organosilicon emission, and petrochemical industry was first found as ubiquitous source of nationwide organosilicon distribution. This study provided valuable methodology for risk assessment of organosilicons and also other chemicals lacking MS database. © 2024 Elsevier B.V.

关键词： Organosilicon

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Spiking Neuron Networks based Energy-Efficient Object Detection for Mobile Robot

Spiking Neuron Networks based Energy-Efficient Object Detect...

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2021 China Automation Congress, CAC 2021

作者： Liu, Bo-Chao Yu, Qian Gao, Jing-Wen Zhao, Shuang Liu, Xiong-Chang Lu, Yan-Feng Beijing Information Science and Technology University Beijing China Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China School of Instrument Science and Optoelectronic Engineering Beijing Information Science and Technology University Beijing China The State Key Laboratory of Management and Control for Complex Systems CASIA Beijing China Science and Technology on Underwater Vehicle Technology Laboratory Harbin Engineering University Harbin China

ISBN: (纸本)9781665426473

This paper focuses on the highly energy-efficient visual detection method, which first apples spiking neuron networks based object detection method in mobile robot. Visual perception is an important part of mobile robot, but the real-time visual perception is with high energy consumption that limits the battery running time of the robotic platform. In this paper, we bring in a Spiking-YOLO algorithm for the visual detection of the mobile robot, which combines the YOLO algorithm with the third generation artificial neural network-Spiking Neural Network (SNN). The Spiking-YOLO integrates the characteristics in real-time and high precision of the YOLO, and event-driven and low-powered nature of the SNN. We introduce the Spiking-YOLO model to the Robotnik's SUMMIT-XL mobile robot to perform the task of visual detection and the experimental verification is carried out on data sets. The experimental results show that this method has excellent energy-efficient and precision on the detection task of the robot. © 2021 IEEE

关键词： Neural networks

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Efficient green separation of Fe-Mn magnetics in manganese sulfate residue via Mn morphology control

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Separation and Purification technology 2025年 359卷

作者： Li, Wentao Zhang, Qian Liu, Zuohua Tao, Changyuan Zheng, Guocan Chen, Nanxiong Wang, Dong Chen, Hufei School of Chemistry and Chemical Engineering Chongqing University Chongqing400044 China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing400044 China Chongqing University Analysis and Test Center Chongqing401331 China Changsha Research Institute of Mining and Metallurgy CO. LTD Hunan Changsha 410012 China Southern Manganese Industry Group Guangxi Environmental Protection Technology Co. LTD Nanning Guangxi 530000 China

The long-term accumulation of manganese sulfate residues can lead to the release of soluble manganese ions, thereby contaminating the surrounding environment. Although numerous methods exist to address the issue of soluble manganese ions, current harmless treatment approaches fail to consider the subsequent utilization of manganese slag. This study aims to control the magnetic properties of processed residues by adjusting the addition of barium hydroxide and the reaction duration. Our results reveal that the harmless treatment of manganese sulfate slag is achievable with various amounts of barium hydroxide, and the magnetic properties of the reconstructed slag increase with the increased barium hydroxide dosage. Magnetic separation is employed to separate the magnetic components from the reconstructed slag, and the distribution state of these magnetic substance is modulated by altering the particle size and reagent addition. Under optimal conditions, this study finds that the grade of iron was 24.17 %, the grade of manganese was 8.08 %, and the recovery could reach 79 % for iron and 70 % for manganese. Finally, the fining slag obtained by magnetic separation was utilized as an additive in the preparation of ferrites, reducing the minimum reflection loss of the ferrites to −16.18 dB, signifying up to 90 % electromagnetic wave attenuation. These findings indicate that the fining slags holds great potential as a dopant for ferrites, offering a viable pathway for the resourceful and environmentally friendly treatment of manganese sulfate residues. © 2024

关键词： Ferrites

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The Study on Inversion of Wave Equation Based on Adaptive Homotopic Regularization Method

The Study on Inversion of Wave Equation Based on Adaptive Ho...

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Communication, Image and Signal Processing (CCISP), International Conference on

作者： Jingying Wang GuoFeng Feng Yunfei Zhu Bing Jia Yunfei Chen Rui Wang Science and Technology on Underwater Test and Control Laboratory Dalian China Harbin Engineering University Harbin China

ISBN: (数字)9781728185897

ISBN: (纸本)9781728185903

The inversion of wave equation has a widespread applications in practice in the detection of buried targets. It faces non-linear and ill-posedness difficulties. Aiming to the ill- posedness and non-linear nature of the inverse problem of wave equation, the widely convergent homotopy method and regularization method are combined to constructing of minimum optimization equation. The linear relationship between homotopy parameters and regularization parameters is constructed in order to avoid the uncertainty of regularization parameters selected by experience. Then the adaptive homotopy regularization inversion method is formed by combining this technique with the Regularization- Gauss-Newton method. The results of numerical experiments show that the method is effectively deal with nonlinear and ill-posedness problem of buried target detection.

关键词： Propagation Mathematical model Inverse problems Optimization Numerical simulation Jacobian matrices Earthquakes

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