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Physical priors accelerate neural network training for imaging through multimode fiber

Optics Letters 2025年第10期50卷 3377-3380页

作者： Zhang, Tianhao Liu, Zeqi Zhang, Hengkang Liu, Kaige Fu, Xing Liu, Qiang State Key Laboratory of Precision Space-Time Information Sensing Technology Beijing100084 China Ministry of Education Beijing100084 China Department of Precision Instrument Tsinghua University Beijing100084 China Huazhong Institute of Electron-Optics Wuhan National Laboratory for Optoelectronics Wuhan430223 China Beijing Institute of Control Engineering Beijing100190 China

In multimode fiber (MMF) imaging, neural networks typically require large datasets and extensive training times, which present substantial challenges for both data acquisition and practical deployment. To address this limitation, we propose a pre-training approach that utilizes data generated from a physical model. By incorporating physically based training data, the required training time for actual fiber data is reduced to approximately one-third. Additionally, this method demonstrates superior performance on the test set, with a 0.04 increase in the average structural similarity index measure (SSIM) and a 31.25% reduction in the average mean squared error (MSE) compared to the baseline model. This approach not only accelerates the training process but also improves the model’s accuracy and generalization capabilities, offering a more efficient and effective solution for MMF imaging. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Large datasets

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Dynamic Modeling of key Operating Parameters for Supercritical Circulating Fluidized Bed Units based on Data-Knowledge-Driven Method

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Journal of Thermal Science 2024年第3期33卷 1216-1230页

作者： YU Haoyang GAO Mingming ZHANG Hongfu CHEN Jiyu LIU Jizhen YUE Guangxi The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power UniversityBeijing102206China CHN Energy New Energy Technology Research Institute Co. Ltd.Beijing102209China Department of Energy and Power Engineering Tsinghua UniversityBeijing100084China

To address the pressing need for intelligent and efficient control of circulating fluidized bed(CFB)units,it is crucial to develop a dynamic model for the key operating parameters of supercritical circulating fluidized bed(SCFB)***,data-knowledge-driven dynamic model of bed temperature,load,and main steam pressure of the SCFB unit has been ***,a knowledge-driven method is employed to develop a dynamic model for key operating parameters of SCFB *** model parameters are determined based on the operating data of the unit and continuously optimized in real ***,Bidirectional Long Short-Term Memory combined with Convolutional Neural Network and Attention Mechanism is utilized to build the dynamic model of bed temperature,load,and main steam ***,a collaboration and integration method based on the critic weight method and the variation coefficient method is proposed to establish data-knowledge-driven model of key operating parameters for SCFB *** model displays great accuracy and fitting ability compared with other methods and effectively captures the dynamic characteristics,which can provide a research basis for the design of intelligent flexible control mode of SCFB unit.

关键词： circulating fluidized bed dynamic model data-knowledge-driven method deep learning power plant

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A review of whole-process control of industrial volatile organic compounds in China

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Journal of Environmental Sciences 2023年第1期123卷 127-139页

作者： Hailin Wang Shumei Sun Lei Nie Zhongshen Zhang Wenpeng Li Zhengping Hao Beijing Key Laboratory for Urban Atmospheric VOCs Pollution Control and Technology Application Beijing Municipal Research Institute of Environmental ProtectionBeijing 100037China College of Resources Environment and Tourism Capital Normal UniversityBeijing 100048China National Engineering Laboratory for VOCs Pollution Control Material&Technology Research Center for Environmental Material and Pollution Control TechnologyUniversity of Chinese Academy of SciencesBeijing 101408China

Volatile organic compounds(VOCs)play an important role in the formation of ground-level ozone and secondary organic aerosol(SOA),and they have been key issues in current air pollution prevention and control in *** attention has been paid to industrial activities due to their large and relatively complex VOCs *** present research aims to provide a comprehensive review on whole-process control of industrial VOCs,which mainly includes source reduction,collection enhancement and end-pipe *** VOCs materials including water-borne ones are the keys to source substitution in industries related to coating and solvent usage,leak detection and repair(LDAR)should be regarded as an efficient means of source reduction in refining,petrochemical and other chemical *** types of VOCs collection methods such as gas-collecting hoods,airtight partitions and others are discussed,and airtight collection at negative pressure yields the best collection *** end-pipe treatments like UV oxidation,low-temperature plasma,activated carbon adsorption,combustion,biodegradation,and adsorption-combustion are discussed in ***,several recommendations are made for future advanced treatment and policy development in industrial VOCs emission control.

关键词： Volatile organic compounds Materials substitution Collection enhancement End-pipe treatments

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A Novel Battery RUL Prediction Approach Based on Probabilistic Hyperparameter Optimization 16

A Novel Battery RUL Prediction Approach Based on Probabilist...

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16th IEEE PES Asia-Pacific Power and Energy engineering Conference, APPEEC 2024

作者： Wang, Ziqi He, Hongwen Zhao, Xuyang Gong, Sikai Zhou, Zhiqiang Beijing Institute of Technology National Engineering Laboratory for Electric Vehicles National Key Laboratory of Advanced Vehicle Integration and Control Beijing China

ISBN: (纸本)9798350386127

The remaining useful life (RUL) of lithium-ion batteries, a pivotal metric for assessing battery performance and service life, is not amenable to direct measurement. To refine the precision of estimating the remaining useful lifespan for battery systems, this paper proposes a prediction method based on the Bayesian optimization algorithm for Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks. The research utilized the battery dataset provided by the MIT Stanford Toyota Research institute. The method first preprocesses the battery data, selecting key health indicators (HI) through the Pearson correlation coefficient, and then estimates the RUL of the battery using LSTM and GRU networks. In order to augment the efficacy of the RUL estimation model, this paper applies Bayesian optimization technology to determine the optimal hyperparameters, thereby saving time required for model prediction. © 2024 IEEE.

关键词： Long short-term memory

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A flexible pressure sensor with highly customizable sensitivity and linearity via positive design of microhierarchical structures with a hyperelastic model

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Microsystems & Nanoengineering 2023年第1期9卷 103-114页

作者： Zhenjin Xu Dezhi Wu Zhiwen Chen Zhongbao Wang Cong Cao Xiangyu Shao Gang Zhou Shaohua Zhang Lingyun Wang Daoheng Sun Department of Mechanical and Electrical Engineering Xiamen UniversityXiamen361005China Shenzhen Research Institute of Xiamen University Shenzhen518057China Beijing Key Laboratory of Long-Life Technology of Precise Rotation and Transmission Mechanisms Beijing Institute of Control EngineeringBeijing100094China

The tactile pressure sensor is of great significance in flexible electronics,but sensitivity customization over the required working range with high linearity still remains a critical *** numerous efforts to achieve high sensitivity and a wide working range,most sensitive microstructures tend to be obtained only by inverting naturally existing templates without rational design based on fundamental contact principles or models for piezoresistive pressure ***,a positive design strategy with a hyperelastic model and a Hertzian contact model for comparison was proposed to develop a flexible pressure sensor with highly customizable linear sensitivity and linearity,in which the microstructure distribution was precalculated according to the desired requirement prior to *** a proof of concept,three flexible pressure sensors exhibited sensitivities of 0.7,1.0,and 1.3 kPa−1 over a linear region of up to 200 kPa,with a low sensitivity error(<5%)and high linearity(~0.99),as *** on the superior electromechanical performance of these sensors,potential applications in physiological signal recognition are demonstrated as well,and such a strategy could shed more light on demand-oriented scenarios,including designable working ranges and linear sensitivity for next-generation wearable devices.

关键词： hierarchical template custom

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Research on Digital Twin System Platform Framework and key Technologies of Unmanned Ground Equipment

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Complex System Modeling and Simulation 2024年第2期4卷 109-123页

作者： Kunyu Wang Lin Zhang Cheng Xu Han Lu Zhen Chen Hongbo Cheng Rui Guo the School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China the State Key Laboratory of Intelligent Manufacturing System Technology Beijing 100854China the Beijing Institute of Electronic System Engineering Beijing 100854China

As an emerging technology,digital twin is expected to bring novel application modes to the whole life cycle process of unmanned ground equipment,including research and development,design,control optimization,operation and maintenance,*** highly dynamic,complex,and uncertain characteristics of unmanned ground equipment and the battlefield environment also pose new challenges for digital twin *** from the new challenges faced by the digital twin of unmanned ground equipment,this paper designs a service-oriented cloud-edge-end collaborative platform architecture of the digital twin system of unmanned ground equipment,and further analyzes several key technologies supporting the implementation of the platform architecture.

关键词： unmanned ground equipment digital twin native cloud platform Modeling and Simulation(M&S) artificial intelligence

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Enhancing spool valve sealing performance with an annular groove 3

Enhancing spool valve sealing performance with an annular gr...

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2024 3rd International Conference on Aerospace, Aerodynamics and mechatronics engineering, AAME 2024

作者： Xia, Haijie Zhang, Guoqing Key Laboratory of Dynamics and Control of Flight Vehicle School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China

Spool valves in aviation engine fuel control devices have a vital effect on fuel supply to ensure the engine runs properly. Therefore, the sealing performance of valve components is particularly important for the overall performance and safety of the system. A more accurate fit between the valve body and the moving parts is needed to enhance the sealing performance of the spool valve. However, leaks still exist even with more precise manufacturing due to various factors. This paper proposes a novel design, an annular groove, which differs from previous methods and is described by the dimensionless design parameters of the spool valve. This paper concludes that dimensionless parameters depth h/d and relative position l/L of the annular groove have little influence on the leakage amount. Still, the width w/d has an obvious influence on that. The lower the w/d is, the smaller the leakage is, and the greater the vice versa. According to the simulation calculation, this is mainly because w is easier to induce the reverse pressure gradient of the flow field, leading to the formation of vortices within the annular groove and a consequent reduction in induced velocity, thereby minimizing leakage. © Published under licence by IOP Publishing Ltd.

关键词： Reels

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Preferentially selective extraction of lithium from spent LiCoO_(2)cathodes by medium-temperature carbon reduction roasting

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International Journal of Minerals,Metallurgy and Materials 2024年第2期31卷 315-322页

作者： Daixiang Wei Wei Wang Longjin Jiang Zhidong Chang Hualei Zhou Bin Dong Dekun Gao Minghui Zhang Chaofan Wu School of Chemistry and Biological Engineering University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Biochemical Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Anhui Chaoyue Environmental Protection Technology Co. LtdChuzhou 239060China Anhui Huihong Technology Co. LtdChuzhou 239060China

Lithium recovery from spent lithium-ion batteries(LIBs)have attracted extensive attention due to the skyrocketing price of *** medium-temperature carbon reduction roasting was proposed to preferential selective extraction of lithium from spent Li-CoO_(2)(LCO)cathodes to overcome the incomplete recovery and loss of lithium during the recycling *** LCO layered structure was destroyed and lithium was completely converted into water-soluble Li2CO_(3)under a suitable temperature to control the reduced state of the cobalt *** Co metal agglomerates generated during medium-temperature carbon reduction roasting were broken by wet grinding and ultrasonic crushing to release the entrained *** results showed that 99.10%of the whole lithium could be recovered as Li2CO_(3)with a purity of 99.55%.This work provided a new perspective on the preferentially selective extraction of lithium from spent lithium batteries.

关键词： spent LiCoO_(2)cathodes medium-temperature carbon reduction lithium extraction priority crystal transformation macro-scopic transport resistance

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A Closed-Loop Dynamic controller for Active Vibration Isolation Working on A Parallel Wheel-Legged Robot

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Chinese Journal of Mechanical engineering 2023年第3期36卷 147-160页

作者： Fei Guo Shoukun Wang Daohe Liu Junzheng Wang School of Automation Beijing Institute of TechnologyBeijing 100081China National Key Laboratory of Human Factors Engineering China Astronaut Research and Training CenterBeijing 100094China China State Shipbuilding Corporation Systems Engineering Research Institute Beijing 100048China

Serving the Stewart mechanism as a wheel-legged structure,the most outstanding superiority of the proposed wheel-legged hybrid robot(WLHR)is the active vibration isolation function during rolling on rugged ***,it is difficult to obtain its precise dynamic model,because of the nonlinearity and uncertainty of the heavy *** paper presents a dynamic control framework with a decentralized structure for single wheel-leg,position tracking based on model predictive control(MPC)and adaptive impedance module from inside to *** the Newton-Euler dynamic model of the Stewart mechanism,the controller first creates a predictive model by combining Newton-Raphson iteration of forward kinematic and inverse kinematic calculation of *** actuating force naturally enables each strut to stretch and retract,thereby realizing six degrees-of-freedom(6-DOFs)position-tracking for Stewart *** adaptive impedance control in the outermost loop adjusts environmental impedance parameters by current position and force feedback of wheel-leg along *** adjustment allows the robot to adequately control the desired support force tracking,isolating the robot body from vibration that is generated from unknown *** availability of the proposed control methodology on a physical prototype is demonstrated by tracking a Bezier curve and active vibration isolation while the robot is rolling on decelerate *** comparing the proportional and integral(PI)and constant impedance controllers,better performance of the proposed algorithm was operated and evaluated through displacement and force sensors internally-installed in each cylinder,as well as an inertial measurement unit(IMU)mounted on the robot *** proposed algorithm structure significantly enhances the control accuracy and vibration isolation capacity of parallel wheel-legged robot.

关键词： Wheel-legged hybrid robot Adaptive impedance control Model predictive control Stewart mechanism Vibration isolation Parallel robot

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Review on the abiotic degradation of biodegradable plastic poly(butylene adipate-terephthalate):Mechanisms and main factors of the degradation

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Chinese Chemical Letters 2025年第1期36卷 158-164页

作者： Haibo Ye Qianyu Li Juan Li Didi Li Zhimin Ao Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health Guangzhou Key Laboratory Environmental Catalysis and Pollution ControlInstitute of Environmental Health and Pollution ControlGuangzhou 510006China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of EducationSchool of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China Advanced Interdisciplinary Institute of Environment and Ecology Beijing Normal UniversityZhuhai 519087China School of Environment Beijing Normal UniversityBeijing 100875China

Poly(butylene adipate-terephthalate)(PBAT),as one of the most common and promising biodegradable plastics,has been widely used in agriculture,packaging,and other industries due to its strong biodegradability *** is well known that PBAT suffers a series of natural weathering,mechanical wear,hydrolysis,photochemical transformation,and other abiotic degradation processes before being ***,it is particularly important to understand the role of abiotic degradation in the life cycle of *** the abiotic degradation of PBAT has not been systematically summarized,this review aims to summarize the mechanisms and main factors of the three major abiotic degradation pathways(hydrolysis,photochemical transformation,and thermochemical degradation)of *** was found that all of them preferentially destroy the chemical bonds with higher energy(especially C-O and C=O)of PBAT,which eventually leads to the shortening of the polymer chain and then leads to reduction in molecular *** main factors affecting these abiotic degradations are closely related to the energy or PBAT *** findings provide important theoretical and practical guidance for identifying effective methods for PBAT waste management and proposing advanced schemes to regulate the degradation rate of PBAT.

关键词： Biodegradable plastics PBAT Abiotic degradation Degradation mechanism

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