IEEE

Prediction of Burn-Through Point in Sintering Process Based on Improved Hybrid Optimization Algorithm and TCN-BiGRU-AM

Abstract: Sintering is a crucial upstream process in the steelmaking process, and accurately predicting the burning through point (BTP) is vital for the yield and quality of sintered ore. The rise of ...
IEEE

Multi-Target Point Path Planning and Tracking of Unmanned Surface Vehicle Using SFLOS Algorithm and Incremental PID Control With Crane-Assisted

Abstract: To enhance the multi-target path planning and tracking performance of Unmanned Surface Vehicles (USVs), a combined control strategy integrating the Serret-Frenet Line-of-Sight (SFLOS) ...
IEEE

A Low-Complexity Compressive Sensing Algorithm for Point Target Detection Using Ultrafast Plane Wave Imaging

Abstract: Ultrasound plane wave imaging is an ultrafast technique to obtain the reconstructed images in real-time. However, identifying the point targets (such as microcalcifications) is challenging ...
IEEE

A Multithreaded Denoising Algorithm for LiDAR Point Clouds Based on Moving Least Squares

Abstract: LiDAR point cloud data is essential in autonomous driving, robotic navigation, and 3D modeling. However, noise caused by sensor errors and environmental factors degrades data quality and ...
IEEE

A Study on a Planar Point Cloud ICP Registration Algorithm Based on Boundary Extraction

Abstract: The demand for 3D scanning of workpiece geometries in automated assembly within workshops is increasingly critical, playing a vital role in the process. Point cloud registration, as an ...
IEEE

An Efficient PCA-Based Target Pose Estimation Algorithm for Low-Precision Point Clouds

Abstract: This paper introduces a grasping pose estimation algorithm tailored for two-fingered parallel grippers and consumer-grade depth cameras that can only capture low-precision point cloud ...
IEEE

A Comprehensive and Comparative Investigation of Maximum Power Point Tracking Algorithms for Photovoltaic Systems

Abstract: This paper presents a detailed comparative analysis of conventional and AI-driven Maximum Power Point Tracking (MPPT) techniques utilized in photovoltaic (PV) systems. The study evaluates ...
IEEE

FSAC-IA: A Hierarchical Constructed SAC-IA Algorithm for Point Cloud Alignment Acceleration

Abstract: Point cloud alignment plays a crucial role in numerous fields and applications, enabling the integration, analysis, and reconstruction of 3D data. SAmple Consensus Initial Alignment (SAC-IA) ...
IEEE

A Review of Point Target and Extended Target Tracking Algorithms

Abstract: In this paper, we investigate the methods of multitarget tracking in imaging process, focusing on both point targets and extended targets. Point target imaging is characterized by low signal ...
IEEE

Analysis of Quantization Noise in Fixed-Point HDFT Algorithms

Abstract: The Discrete Fourier Transform (DFT) algorithm is widely used in signal processing and communication systems to transform the signal to the frequency-domain. As real-time signal analysis is ...
IEEE

Enhanced Harmony Search Algorithm for Maximum Power Point Tracking Under Partial Shading in PV Systems

Abstract: Multiple power peaks are introduced under nonuniform irradiation conditions in photovoltaic (PV) systems. However, conventional maximum power point tracking (MPPT) algorithms, such as the ...