Category: Engineering

In this section, the proposed SCB-Darknet53 backbone network is introduced firstly, and then the enhanced asymptotic feature pyramid network (AFPN), and finally the architecture of the proposed SCB-AF-Detector in detail.

SCB-Darknet53 backbone…

AISC 360

AISC 360 specifications primarily address prismatic members, with shear strength predictions based on section-by-section evaluations. However, applying these methods on the girders with opening in the web panel have notable limitations,…

Tensile strength evaluation

The tensile test result of the composites is shown in Fig. 1, from the mean of three specimens from each sample. The tensile strength of the neat resin sample (S1) achieved was 12 MPa. The addition of PALF and roselle…

In order to achieve asymptotic consensus in AC MG, DGs should communicate to each other to restore the voltages and frequency of MG and real power sharing. In this section, we have developed the new protocols based on fully distributed…

Physical model

In China, owing to factors such as transmission distance, environment constraints, and operation maintenance, cables are often laid in pipes. HV cable joints are typically installed in an underground special power cabin, as shown in…

This paper obtained data through questionnaire survey. After referring to the official website of the State Department of Emergency Management, the China Safety Production Network and the Code for Safe Construction of Geological Drilling…

The Model Free Adaptive Control (MFAC) for BLDC Motor Drive is a novel approach to enhance this efficiency. This is a data-driven control (DDC) strategy that reduces the simulation time and complexity of a nonlinear system. Unlike model-based…

Electrification

A diesel engine tractor includes devices to reduce exhaust gases such as carbon monoxide (CO), hydrocarbons (HCs), nitrogen oxides (NOx), and particulate matter (PM). The types of exhaust gas reduction devices employed are exhaust…

Relation between duncan’s and the Mohr–Coulomb strength parameters

The proposed linearization method falls under the category of local Taylor expansion approximation, aligning with the nonlinear dimensionality reduction framework. Unlike…

Problem formulation

We consider a federated learning scenario involving a set of K clients denoted as Clinent = {client₁, client₂,…,client_K}. Each client \(client_i\) possesses a private local dataset \(D_i\), which is retained locally and is…