A Self-Aware Robotic Machining Architecture Based on Physics-Informed Neural Networks See

Industrial robots have been widely used in various industrial scenarios due to their flexibility and expandability. However, robots are susceptible to instability at high speeds and load conditions due to their low stiffness and dynamic characteristics variation with posture. Enhancing the p...

Live Demonstration: Real-Time High-Amplitude Signal Acquisition with 2-Channel Modulo ADC See

Modulo analog-to-digital converters (ADCs) offer a potential solution to the clipping challenges in conventional ADCs by folding signals that exceed the threshold. This makes them suitable for high-amplitude signal acquisition in wide dynamic range applications. In this demonstration, we present ...

Threshold Sensitivity in Two-Channel Modulo ADCs: Analysis and Robust Reconstruction See

This paper presents a comprehensive analysis of two-channel modulo analog-to-digital converters (ADCs) systems, focusing on the sensitivity of ADC thresholds. By exploiting analytic number theory, we first investigate the relationship among ADC threshold precision, maximum signal dynamic range, and er...

Low Carbon Economic Dispatch of Power Systems with Wind Power for Electric Vehicle Carbon Quotas See

With The rapid advancement of electric vehicles (EVs) and renewable energy technologies has opened up new possibilities for their integration into low-carbon power systems. Considering EVs as a flexible dispatch resource and incorporating them into the economic dispatch of power systems cont...

Analysis of Power System Harmonic Effects Based on Data Features and Gene Expression Programming See

In order to quantitatively recognize the harmonic impacts of harmonic source users at the common connection point (PCC), a method to calculate the system harmonic impedance and quantify the harmonic impacts by using gene expression programming to analyses data features was proposed in&#...

A Multi-Objective Genetic Programming with Size Diversity for Symbolic Regression Problem See

Genetic programming has been positioned as a fit-for-purpose approach for symbolic regression. Researchers tend to select algorithms that produce a model with low complexity and high accuracy. Multi-objective genetic programming (MOGP) is a promising approach for finding appropriate models by con...

Numerical Simulation of Overburden Deformation Mechanism and Surface Settlement Characteristics Induced by Underground Coal Mining: A Case Study See

Underground mining in mountainous regions presents a significant geological hazard, characterised by the occurrence of land subsidence and movement of overlying strata. To aggrandise the theory of mine rock mechanics, we conducted a systematic investigation into the deformation and failure mechan...

Modeling and control of functional electrical stimulation cycling training system See

Functional electrical stimulation (FES), a rehabilitation technique, typically relies on physiotherapists using trial-and-error tests to determine effective stimulation patterns. Therefore, this study proposed a kind of pedal hill modeling to establish an optimal stimulus mode with the maximum torque ...

Fracture mechanical properties of shale and macro-meso-micro multi-scale fracture surface characteristics See

The presence of bedding planes imparts pronounced anisotropy to the mechanical behavior of shale, fundamentally influencing its response to external stress. This anisotropic behavior is critical in determining the fracturing characteristics and overall mechanical performance of shale in engineering ap...