Category: Engineering

Energy conduction under multi-factor influence

To capture the effects of rough fractures while coupling convective–conductive heat and mass transfer with adsorption-induced deformation, we adopt the simplifying assumptions^22,23,30,35: (1) coal…

Based on the previous analysis, it is clear that if the capacitance between the robot and the overhead conductor (C_ab) and the capacitance between the robot and the ground (C_ac), as well as the initial voltage of C_ab, are known, the waveform and…

The uncertainties and ambiguities incorporated into the data are the main issues when evaluating sports skills quantitatively. The fuzzy set (FS) is a popular approach for handling ambiguity and uncertainty in data from various real-world…

Density function

For any orientation data following an elliptically symmetric distribution, when the coordinate transformation is performed to align the z-axis with the average orientation, and the x-axis and y-axis coincide with the major and…

Multibody model description

The rubber crawler Yanmar VI027 is modeled in Simpack\(\circledR\), with geometric and inertial properties configured based on a real vehicle reference. The basic dimensions are given in the manufacturer site…

To produce hydrogen under high pressure using non-noble materials as electrodes, we tested various separators, alkaline membranes, and AEMs. Our focus was on the most effective way to produce pure hydrogen with the gas-diffusion electrodes…

The proposed model is implemented using the PyTorch framework in Python 3.8. All experiments are conducted on a workstation equipped with an NVIDIA RTX 3080 GPU.The Adam optimizer are utilized for model training, with an initial learning rate set…

To evaluate the performance and practicality of the proposed DQN-based optimization framework, a detailed case study is conducted using synthesized and assumed data to mimic realistic power system operations under extreme weather conditions and…