IEEE

Intelligent Quality Control of Surface Defects in Fabrics: A Comprehensive Research Progress

Abstract: Fabric defect detection is a crucial step of quality control in textile enterprises. The use of computer vision inspection technology in the textile industry is key to achieving intelligent ...
IEEE

Supply Chain Network Robustness Against Disruptions: Topological Analysis, Measurement, and Optimization

Abstract: This paper focuses on understanding the robustness of a supply network in the face of a disruption. We propose a decision support system for analyzing the robustness of supply chain networks ...
IEEE

Sequence Impedance Modeling and Stability Comparative Analysis of Voltage-Controlled VSGs and Current-Controlled VSGs

Abstract: The premise that the virtual synchronous generator (VSG) can actively support the weak grid is that the VSG can operate stably. In this paper, the small-signal sequence impedance models of ...
IEEE

AMFLW-YOLO: A Lightweight Network for Remote Sensing Image Detection Based on Attention Mechanism and Multiscale Feature Fusion

Abstract: The scale of targets in remote sensing images varies greatly and is diverse. It has many small targets that are distributed densely and high complexity of image background. The number of ...
IEEE

Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation

Abstract: The current sequential recommendation systems mainly focus on mining information related to users to make personalized recommendations. However, there are two subjects in the user historical ...
IEEE

Control Barrier Function-Based Quadratic Programs Introduce Undesirable Asymptotically Stable Equilibria

Abstract: Control Lyapunov functions (CLFs) and control barrier functions (CBFs) have been used to develop provably safe controllers by means of quadratic programs (QPs), guaranteeing safety in the ...
IEEE

Learning and Transferring Deep Joint Spectral–Spatial Features for Hyperspectral Classification

Abstract: Feature extraction is of significance for hyperspectral image (HSI) classification. Compared with conventional hand-crafted feature extraction, deep learning can automatically learn features ...
IEEE

Image quality assessment: from error visibility to structural similarity

Abstract: Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a ...
IEEE

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

Abstract: We present a compact but effective CNN model for optical flow, called PWC-Net. PWC-Net has been designed according to simple and well-established principles: pyramidal processing, warping, ...
IEEE

Impedance-Based Harmonic Current Suppression Method for VSG Connected to Distorted Grid

Abstract: For the virtual synchronous generator (VSG) connected to the distorted grid, it is difficult to address the distorted grid current issue by the conventional harmonic suppression methods. To ...
IEEE

KADID-10k: A Large-scale Artificially Distorted IQA Database

Abstract: Current artificially distorted image quality assessment (IQA) databases are small in size and limited in content. Larger IQA databases that are diverse in content could benefit the ...
IEEE

UAV Path Planning Based on the Combination of A-star Algorithm and RRT-star Algorithm

Abstract: In order for UAVs to perform tasks safely and efficiently, path planning for UAVs is required. The A-star algorithm can calculate the optimal path, but it needs to rasterize the map in ...