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Recognition of Lower Limb Movements Based on Multi-Regional Plantar Pressure and Foot Posture

IEEE Sensors Journal 2025年第10期25卷 16754-16763页

作者： Zhao, Hongyu Han, Ying Yue, Dongyang She, Menglin Wang, Zhelong Yang, Fan Tu, Huabin Qiu, Sen Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Dalian University of Technology School of Control Science and Engineering Dalian116024 China Kweichow Moutai Co. Ltd China Guizhou Key Laboratory of Microbial Resources Exploration in the Fermentation Industry China Guizhou Brewing Engineering Technology Research Center China

Lower limb movement is one of the basic features of human locomotion, and its recognition technology has been widely applied in medical, sports, and industrial fields in recent years. Currently, wearable devices based on pressure and inertial sensors have been used to recognize lower limb movement but still have deficiencies in hardware and algorithms. This paper proposes a novel and low-cost solution for lower limb movement recognition, which involves embedding a smart insole with sixteen pressure sensors under each foot and installing a ten-axis inertial sensor on each ankle. The pressure and inertial data are synchronously collected via a wireless Bluetooth module, enabling efficient and accurate recognition. This multi-sensor configuration not only enriches the data features but also effectively addresses the misrecognition issues associated with single-sensor solutions. The experimental data include six common lower limb movements: upstairs, uphill, walking, squatting, downstairs, and downhill. To recognize movements during various locomotion states, this paper improves the temporal convolutional network (TCN) by introducing a self-attention mechanism, proposing a self-attention TCN to achieve this purpose. The self-attention TCN model was compared with support vector machine (SVM), k-nearest neighbor (KNN), Decision Tree (DT), Random Forest (RF), Gated Recurrent Unit (GRU), long short-term memory (LSTM), convolutional neural network (CNN), bi-directional long short-term memory (BiLSTM), and long short-term memory convolutional neural network (LSTM-CNN). Experimental results demonstrate that the self-attention TCN achieves the highest recognition accuracy of 98.29%±0.10%. © 2001-2012 IEEE.

关键词： Convolutional neural networks

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Investigations of a 439 W Narrow-Linewidth Er/Yb Fiber Amplifier Pumped by 1018 nm Fiber Lasers

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Journal of Lightwave technology 2025年第9期43卷 4491-4499页

作者： Li, Guanzhong Li, Dan Cai, Yuexuan Fu, Guohao Yu, Weilong Li, Pei Xiao, Qirong Gong, Mali Yan, Ping Tsinghua University Department of Precision Instrument Beijing100084 China State Key Laboratory of Precision Space-Time Information Sensing Technology Beijing100084 China Tsinghua University Key Laboratory of Photonics Control Technology of the Ministry of Education Beijing100084 China

In this paper, a 439 W, 1567 nm, narrow-linewidth Er/Yb co-doped fiber (EYDF) laser system pumped by 1018 nm fiber lasers is demonstrated. The 1018 nm fiber lasers are utilized as pumping source to suppress the ∼1 μm amplified spontaneous emission. It is the highest output power reported for EYDF lasers to date. A novel EYDF model considering the pair-induced quenching (PIQ) and the excited state absorption (ESA) of Er ions is built to predict the experiment more accurately. Simulation results reveal that ESA and PIQ both contribute to the decline of laser efficiency. Moreover, the scheme of the main amplifier is optimized theoretically based on the model to reach higher output power. © 1983-2012 IEEE.

关键词： Quenching

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Microstructural evolution and hydraulic response of shale self-propped fracture using X-ray computed tomography and digital volume correlation

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International Journal of Mining Science and technology 2025年第3期35卷 345-362页

作者： Ting Huang Cheng Zhai Ting Liu Yong Sun Hexiang Xu Yu Wang Jing Huang State Key Laboratory of Coal Mine Disaster Prevention and Control Ministry of EducationChina University of Mining and TechnologyXuzhou 221116China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China School of Low-Carbon Energy and Power Engineering China University of Mining and TechnologyXuzhou 221116China

Methane in-situ explosive fracturing technology produces shale debris particles within fracture channels,enabling a self-propping effect that enhances the fracture network conductivity and long-term *** study employs X-ray computed tomography(CT)and digital volume correlation(DVC)to investigate the microstructural evolution and hydromechanical responses of shale self-propped fracture under varying confining pressures,highlighting the critical role of shale particles in maintaining fracture *** indicate that the fracture aperture in the self-propped sample is significantly larger than in the unpropped sample throughout the loading process,with shale particles tending to crush rather than embedded into the matrix,thus maintaining flow *** confining pressure increases,contact areas between fracture surfaces and particles expand,enhancing the system's stability and compressive *** analyses show flow paths becoming increasingly concentrated and branched under high *** resulted in a significant reduction in connectivity,restricting fracture permeability and amplifying the nonlinear gas flow *** study introduces a permeability-strain recovery zone and a novel sensitivity parameter m,delineating stress sensitivity boundaries for permeability and normal strain,with m-value increasing with stress,revealing four characteristic *** findings offer theoretical support for optimizing fracturing techniques to enhance resource extraction efficiency.

关键词： Digital volume correlation X-ray CT scanning Fracture aperture Deformation characteristics Stress sensitivity Permeability

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Stability analysis of karst anti dip rock slope induced by underground coal mining——A case study of Jiguanling landslide, China

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Journal of Mountain Science 2025年第4期22卷 1226-1244页

作者： ZHONG Zuliang LIANG Erwei WANG Nanyun XU Yawei School of Civil Engineering Chongqing UniversityChongqing 400045China State key laboratory of coal mine disaster dynamics and control Chongqing 400044China Key Laboratory of New Technology for Construction of Cities in Mountain Area of Ministry of Education Chongqing 400045China

In recent years,the southwestern region of China has experienced a surge in significant mountain collapses,predominantly linked to underground mining *** investigation targets the Jiguanling area in Wulong,Chongqing,employing the UDEC numerical simulation technique to meticulously examine the deformation and failure characteristics,rock mass movement patterns,fracture evolution processes,and stress transmission mechanisms of anti-dip rock slopes composed of stratified *** slopes are inherently susceptible to bending and tilting due to their own *** findings elucidate that the predominant failure mode of anti-dip rock karst slopes is the inclined sliding(shear)type,which mirrors the fracture evolution mechanism as they extend in a quadrilateral pattern from the top and bottom plates of the mining area to the critical blocks at the rear and front edges of the *** disaster mechanism can be encapsulated as the"initial roof movement phase,direct roof collapse and crack propagation phase,critical block locking and sliding resistance phase,and deterioration phase".The four distinct stages of development and transformation encompass critical block slip(shear)and slope instability *** increase in coal seam thickness enlarges the deformation space in the lower part,while the dip angle of the coal seam influences the length and displacement range of rock fracture *** mining sequence alters the stress failure mode of the underlying critical blocks,and the vertical height of the mining step distance modifies the potential sliding surface and failure mode of the underlying critical ***,the distance between the goaf and the surface,along with the height of the mining impact,impacts the stability of the reverse *** results demonstrate that mining activities are the primary factor inducing the collapse of anti-dip rock slopes,with natural factors playing a secondary role.

关键词： Anti-dip rock slope Mining action Slope deformation mechanism Slope instability mechanism Evolution law of cracks

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Atomic cerium-doped CuO_(x) catalysts for efficient electrocatalytic CO_(2) reduction to CH_(4)

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Chinese Chemical Letters 2025年第1期36卷 326-331页

作者： Xiangyu Chen Aihao Xu Dong Wei Fang Huang Junjie Ma Huibing He Jing Xu Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology School of Chemistry and Chemical EngineeringGuangxi UniversityNanning 530004China State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures Guangxi UniversityNanning 530004China State Key Laboratory of Green Chemical Engineering and Industrial Catalysis School of Chemical EngineeringEast China University of Science and TechnologyShanghai 200237China

Copper(Cu)is widely used in the electrochemical carbon dioxide reduction reaction(ECO_(2)RR)for efficient methane(CH_(4))***,the morphology and valence of Cu-based catalysts are usually unstable under reaction *** this work,we prepared Ce-doped MOF-199 precursor(Ce/HKUST-1)and further obtained nanoparticle electrocatalyst Ce/CuO_(x)-NPs by cyclic voltammetry(CV)*** Faradic efficiency of methane(FE_(CH_(4)))maintains above 62%within a broad potential window of 350 mV and the maximum FE_(CH_(4))reaches 67.4%with a partial current density of 293 mA/cm^(2)at-1.6 V vs.a reversible hydrogen *** characterization and theoretical calculations revealed that the unique electronic structure and large ionic radius of Cerium(Ce)not only promoted the generation of key intermediate*CO but also lowered energy barrier of the*CO to*CHO *** study provides a novel and efficient catalyst for methane production in ECO_(2)RR and offers profound insights into constructing high performance Cu-based catalysts.

关键词： ECO_(2)RR Cu-based catalyst Structure evolution DFT calculation

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Fault-Tolerant Soft Sensor Modeling Based on a Two-Dimensional Group Distributionally Robust Optimization Framework

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IEEE Transactions on Automation Science and Engineering 2025年 22卷 14396-14406页

作者： Zhang, Xiangrui Song, Chunyue Zhao, Jun Huang, Biao College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Industry Intelligence and Systems Engineering Hangzhou310027 China University of Alberta Department of Chemical and Materials Engineering EdmontonABT6G 1H9 Canada

In industrial automation and intelligence, fault tolerance mechanisms have always been an attractive topic. To develop soft sensors with fault tolerance for different types of faults and unforeseen new faults, this article proposes a two-dimensional group distributionally robust optimization (2D-GDRO) framework for fault-tolerant soft sensor modeling. We propose to describe the potential distributions of new fault conditions with an uncertainty set and optimize the soft sensor model by minimizing the worst-case risk over the uncertainty set. Considering the restricted representation range of the uncertainty set constructed directly from a mixture distribution of a limited number of existing fault conditions in the training set, a two-dimensional uncertainty set is designed at the group dimension and the sample dimension. To efficiently train a fault-tolerant soft sensor within the 2D-GDRO framework, we introduce a triple-interleaved optimization algorithm. This algorithm integrates mini-batch stochastic gradient descent, exponentiated gradient ascent, and group-wise SoftMax techniques. Finally, the fault tolerance of the 2D-GDRO framework based soft sensor is verified using the Tennessee-Eastman process and the real three-phase flow facility. The experimental results show that 2D-GDRO outperforms other training frameworks in average soft sensing accuracy under new fault conditions. © 2004-2012 IEEE.

关键词： Stochastic systems

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Understanding interfacial engineering of surface functionalized boron nitride nanosheets within thermal interface materials

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Science China Materials 2025年第4期68卷 1300-1302页

作者： Gaojie Han Yuezhan Fengg Changyu Shen State Key Laboratory of Structural Analysis Optimization and CAE Software for Industrial EquipmentNational Engineering Research Center for Advanced Polymer Processing TechnologyZhengzhou UniversityZhengzhou 450002China

The continuous miniaturization and high-power development of electronic devices have given rise to severe interface thermal issues,which urgently demand highly thermally conductive thermal interface materials(TIMs)to ... 详细信息

关键词： interfacial engineering heat accumulation interface thermal issueswhich thermal interface materials surface functionalized boron nitride nanosheets electronic devices thermal conductivity

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Effects of bedding characteristics on crack propagation of coal under mode Ⅱ loading:laboratory experiment and numerical simulation

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Journal of Rock Mechanics and Geotechnical Engineering 2025年第2期17卷 1037-1052页

作者： Zhuang Sun Yixin Zhao Yirui Gao Xiaoliang Wang Hao Wang Bin Liu Yaodong Jiang Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources China University of Mining and Technology(Beijing)Beijing100083China School of Energy and Mining Engineering China University of Mining and Technology(Beijing)Beijing100083China State Key Laboratory of Coal Resources and Safe Mining China University of Mining and Technology(Beijing)Beijing100083China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan454003China

The fracture network of hydraulic crack is significantly influenced by the bedding plane in coalbed methane *** mode Ⅱ loading,crack deflection holds a key position in hydraulic cracking,especially in hydraulic *** study first analyzed the crack deflection theory of layered *** semi-circle bending test under asymmetric loading is performed,and the four-dimensional Lattice Spring Model(4D-LSM)is established to examine how the bedding parameters affect coal crack propagation under mode Ⅱ dominant *** 4D-LSM results are comparable to the coal loading test results under quasi-mode Ⅱ and the analytical prediction of crack deflection *** mode Ⅱ loading,the coal crack propagation is greatly influenced by the angle,strength,and elastic modulus of the bedding plane,while the effects of thickness and spacing of bedding are *** crack of coal tends to propagate towards the bedding,following a decrease in bedding angle,a decrease in bedding strength,and an increase in elastic *** higher bedding strength,spacing,and thickness,the peak load on the coal sample is *** influences of bedding strength,elastic modulus,spacing,and thickness on the peak load of coal samples and its anisotropy gradually *** is proved that compared with the tangential stress ratio and traditional energy release ratio theories,the corrected energy release ratio criterion can more accurately predict the direction of crack deflection of coal,especially under mode Ⅱ *** results can provide assistance in the design of initiation pressure and fracturing direction in coal seam hydraulic fracturing.

关键词： Bedding plane Coal ModeⅡdominant loading Crack propagation 4D-lattice spring model(4D-LSM)

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DBDB: de-bimodal defocus blur in joint infrared-visible imaging

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Visual Intelligence 2025年第1期3卷 1-12页

作者： Cao, Zhe Xu, Lixin Zhang, Jin Yang, Biwen Chen, Kaizheng Zhang, Ruiheng State Key Laboratory of Electromechanical Dynamic Control the School of Mechatronical Engineering Beijing Institute of Technology Beijing 100081 China

Despite the recent accomplishments in joint infrared-visible imaging, the bimodal defocus blur (BDB) phenomenon received scant attention. Our analysis reveals that BDB is predominantly attributable to disparities in optical parameters between cameras, resulting in two primary challenges: incomplete single-modal information and difficulty in cross-modal information interaction. With regard to the former, the infrared modality is the primary victim, as the deblurring networks’ bias toward high-frequency results in erroneous low-frequency reconstruction (e.g., over-sharpening). In the latter case, the relative nature of the blur effect can lead to ambiguity in determining which modality’s information should be prioritized for guidance, and conflicts may arise between the clear components of the blurred image and the blurry components of the clear image. To address these issues, we propose the first de-bimodal defocus blur (DBDB) method, which consists of a low-frequency semantic hold (LSH) module with a pre-trained infrared model and a cross-modal complementary feature induction (CCFI) module driven by a max-min blur entropy loss. LSH is designed to ensure that the low-frequency information captured by the infrared modality does not contain any misleading data, while CCFI facilitates the acquisition of accurate information by means of adaptive adjustment and the loss function. The experimental results of deblurring and downstream tasks on two synthetic datasets demonstrate the superiority of our method. © The Author(s) 2025.

关键词： Defocus blur Image reconstruction Multimodal learning Pre-training model RGBT

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Kinetics of isothermal reduction of carbon-containing silicomanganese dust

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International Journal of Minerals,Metallurgy and Materials 2025年第4期32卷 869-878页

作者： Ju Xu Guojun Ma Jie Xu Mengke Liu Xiang Zhang Dingli Zheng Junlong Li The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and TechnologyWuhan 430081China Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Education Wuhan University of Science and TechnologyWuhan 430081China State Key Laboratory of Vanadium and Titanium Resources Comprehensive Utilization Pangang Group Research Institute Co.Ltd.Panzhihua 617000China Energy Recycling Economy Co. Ltd.Ningxia Shengyan Industrial GroupPingluo 753400China

Silicomanganese dust contains large amounts of valuables,such as Si and Mn,which can be used as raw materials for the smelting of ***,the direct addition of dust to the submerged arc furnace can influence the permeability of burden due to the fine particle size of dust,which results in incomplete reduction reactions during the smelting *** this paper,silicomanganese dust,graphite powder,and other additives were pressed to form carbon-containing dust briquettes,and the self-reduction process of the dust briquettes was investigated through the isothermal thermogravimetric method with different carbon–oxygen (C/O) molar ratios,contents of fluxing agents,and reduction *** reduction kinetic models for dust briquettes at different temperatures were *** results show that the reaction fraction of the dust briquettes was about 90%at a C/O molar ratio of 1.2 with optimal reduction *** addition of CaF_(2)contributed to the decrease in the melting point and viscosity of dust briquettes,which increased their reduction *** the reduction temperature increased,the reduction rate of dust briquettes *** reduction reaction rate of dust briquettes was controlled through gas-phase ***,their reduction process was analyzed kinetically,with the reaction time of 5 min as the dividing *** apparent activation energies for the two diffusion stages were 56.10 and 100.52 kJ/mol,*** kinetic equations are expressed as[1-(1-f)^(1/3)]^(2)=0.69e^(-56100/(RT))t and [1-(1-f)^(1/3)]^(2)=2.06e^(-100520/(RT))t.

关键词： silicomanganese dust carbothermal reduction isothermal reduction kinetics

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