There is uncertainty in the neuromusculoskeletal system, and deterministic models cannot describe this significant presence of uncertainty, affecting accuracy model predictions. In paper, a knee joint angle prediction based on surface electromyography (sEMG) signals proposed. To address instability EMG non-parametric probabilistic developed using Gaussian process combined with physiological properties muscle activation. Since system dynamic further non-linear autoregressive eXogenous inputs...

Leakage from buried pipelines can lead to an increase in the water content of subgrade soils and a rise table, leading soil loosening, erosion ultimately formation hidden voids roadway collapses. This study presents discrete-element method validates its accuracy by utilising cavity data model experiments. It investigates mechanism seepage resulting pipe leakage analyses development arch effect. Furthermore, it discusses influence sand void ratio particle size on erosion. The results indicate...

Green and efficient recycling technology is an important challenge that restricts the large-scale application sustainable development of energy storage batteries. Liquid metal batteries (LMBs) are considered to be ideal choice for stationary due inherent advantages low cost, long lifetime, high safety. Herein, a full-lifetime reutilization strategy LMBs based on facile molten salt electrochemical processes proposed first time, which verified in Li||Sn–Sb LMBs. The achieved efficiencies...

Joint torque estimation is of great significance for the research and clinical application intelligent rehabilitation technology. This paper proposes a closed-loop model joint based on surface electromyography (sEMG). Combined with physiological characteristics muscle activation, nonlinear autoregressive eXogenous inputs(NARX) neural network sEMG signals established. In order to solve drift phenomenon estimation, state-space framework constructed by regarding NARX as state developing...

This work demonstrates a feasible strategy for the synthesis of new zeolite-like framework materials. With using two different supertetrahedral clusters as secondary building units, heterometallic frameworks with isomeric structures but tunable topologies were first made. Besides, porous nature and proton conduction performance materials further studied.

Quantitative comparison of the diagnostic value spectral CT imaging and conventional post-processing technique in differentiating malignant benign renal tumors.

The third generation of MicroWave Temperature Sounder (MWTS-III) is a major payload FengYun-3F (FY-3F) satellite, which was launched on August 3, 2023. It can provide valuable atmospheric temperature profiles in morning time for numerical weather prediction (NWP) applications. prelaunch thermal vacuum (TVAC) calibration test performed to examine the instrument quality. This paper briefly describes design MWTS-III and details TVAC tests methodology radiometric performance, including...

Cypate is an organic material with tumor treatment function, which has photothermal effect. Based on the characteristics of this material, study adopted coupling method to obtain FB-Cypate nano-microspheres, BDI-1-FB-Cypate albumin nano-microsphere diad and CPPs-BDI-1-FB-Cypate triad. materials were characterized by scanning TEM, particle size analyzer, spectrophotometer. An injection-ureter introduction device was used perfuse pediatric bladder cancer cells into cavity nude mice, different...

Purpose 45 steel is a common material for the manufacture of various components such as shafts or gears. However, its poor surface properties often limit applications. The purpose this paper to find way enhance performance steel, which expected improve wear resistance steel. Design/methodology/approach Double glow plasma metallurgy technique was used prepare hafnium carbide (HfC) coatings on with two preparation process; one diffuse elements together, while other step by step. scanning...

The HY-2A satellite was first launched in August of 2011, the microwave scatterometer as one main loads, is primarily applied sea surface wind observation. used two pencil beam conical scan system, and radar worked Ku band. characteristics are tested laboratory Echo Wave simulator function validation performed by airborne experiment. System composition performance requirements presented this paper, experiment scheme its results also introduced. On-orbit test show that expected measurement achieved.

We present MobiFuse, a high-precision depth perception system on mobile devices that combines dual RGB and Time-of-Flight (ToF) cameras. To achieve this, we leverage physical principles from various environmental factors to propose the Depth Error Indication (DEI) modality, characterizing error of ToF stereo-matching. Furthermore, employ progressive fusion strategy, merging geometric features stereo maps with DEI modality create precise maps. Additionally, new ToF-Stereo dataset, RealToF,...

The third generation Microwave Temperature Sounder (MWTS-III) onboard Fengyun-3E (FY-3E) can obtain the atmospheric temperature profile in early morning time, which is valuable for numerical weather prediction (NWP), climate analysis and other environment studies. However, calibrated brightness (BT) of surface-insensitive sounding channels (i.e. 7-17) have a sea-land contrast bias. It 0.2 K-0.3 K 9-17 -1.33 -2.86 7 8, respectively. bias characteristic similar to that corresponding FY-3C,...

The article has analyzed the domestic and international present research status development trend of electric hybrid vehicles (HEV). Considering actual scientific research, according to characteristic environment requirement all-terrain vehicle (ATV), principle elected designed component parts for powertrain coupling system ATV, demands performance parameter power, torque speed moving this studies on control strategy engine, motor storage battery. optimization matching, modeling simulation...

Abstract With the advent of age multimedia technology and image data, commercial library services have emerged. We need to use classification parse into content that computer can understand. But when recognizing features for classification, data will inevitably produce noise, so in order make more accurate, we remove information is irrelevant noise. The Deep Residual Shrinkage Network (DRSN) proposed this paper effectively denoise images, then learn classify images. combines (ResNet) SENet...

This article proposes a combustion system model for power plant boilers based on the BP neural network algorithm, and feasibility of this is demonstrated through verification model. On basis, optimization particle swarm (PSO) algorithm was proposed, which optimizes NOx emissions boiler efficiency boiler, while also balancing efficiency. The results show that can achieve good results.

Enabling fast charging of lithium-ion batteries (LIBs) may accelerate the commercial application electric vehicles (EVs). This paper proposes a SOC-based optimization strategy with coupled electro-thermal-aging model. The state charge (SOC), instead cut-off voltage Ut, max, is employed to govern multi-stage constant current (MSCC) process. optimal sequence MSCC determined by dynamic programming (DP). And Pareto curve used evaluate performance proposed strategy. Considering tradeoff between...