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

Formation Control Algorithms for Drone Swarms and The Single Point of Failure Crisis: A Review

Abstract: Formation control algorithms are a prominent area of study in the domain of drones and drone swarms. The goal of the formation control algorithms is to manage and manipulate individuals to ...
IEEE

Reference Point MCDM Algorithm for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems

Abstract: This paper proposes a new algorithm for choosing a solution in the Pareto Optimal Front of the multi-objective optimization problem of the spectral and energy efficiency trade-off in Massive ...
IEEE

Research on Cargo Volume Prediction in Logistics Sorting Centers Based on ARIMA-LSTM Forecasting Algorithm

Abstract: This paper presents a study on the prediction of cargo volumes in 57 logistics sorting centers using the ARIMA-LSTM forecasting algorithm. The primary objective is to forecast the volume of ...
IEEE

Multi-GPU Radix Sort Algorithm in High Performance Computing Environment

Abstract: Generally, the single GPU computing method is utilized for the conventional radix sort algorithm based on GPU parallel computing. Nevertheless, as the data scale grows, the single GPU ...
IEEE

Robot Dynamic Path Planning Based on the Fusion of Jump Point Search Algorithm and Dynamic Window Approach

Abstract: To address the problem of slow route computation caused by excessive exploration of unnecessary nodes in traditional A* algorithm combined with the dynamic window approach, as well as the ...
IEEE

Intelligent Nonlinear PID-Controller Combined With Optimization Algorithm for Effective Global Maximum Power Point Tracking of PV Systems

Abstract: Many advanced techniques efficiently harvest the global maximum power (GMP) of the photovoltaic (PV) system, including machine learning techniques and metaheuristic algorithms based maximum ...
IEEE

Research On Multi-scale Adaptive Cross-source Point Cloud Registration Algorithm

Abstract: With the rapid development of sensing technology and the demand for digital construction, three-dimensional data has been widely applied in many industries. In the processing and application ...
IEEE

Point Cloud Segmentation Algorithm Based on Improved Euclidean Clustering

Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...
IEEE

Generating Adversarial Examples for 3D Point Clouds Using Evolutionary Algorithms

Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...