Abstract: In this paper, an impact angle control guidance law, which considers simultaneously the impact angle and seeker's look angle constraints, is proposed for a constant speed missile against a ...
Abstract: In this article, a speed control scheme based on an analytically designed fractional-order PID with Bode’s ideal cutoff (FOPID-BICO) filter is proposed. The FOPID controller is designed to ...
Abstract: This article describes the design, implementation, and results of the latest installment of the dermoscopic image analysis benchmark challenge. The goal is to support research and ...
Abstract: The Lee sigma filter was developed in 1983 based on the simple concept of two-sigma probability, and it was reasonably effective in speckle filtering. However, deficiencies were discovered ...
Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...
Abstract: Clarification of the responsibility for carbon emission is fundamental in a carbon-constrained world. Existing statistical methods for carbon emission estimation usually attribute the ...
Abstract: In a position sensorless permanent magnet synchronous motor (PMSM) drive system, parameter mismatch will introduce estimation error in the stator flux and ...
Abstract: Integrated energy system is important for the high-efficient utilization of multitype energy systems. In this paper, the stochastic optimal operation is investigated for the micro integrated ...
Abstract: Object 3D reconstruction from a single-view image is an ill-posed problem. Inferring the self-occluded part of an object makes 3D reconstruction a challenging and ambiguous task. In this ...
Abstract: In order to suppress the swing of slung load during the flight of the quadrotor unmanned aerial vehicle (UAV), a new double closed-loop nonlinear control method Newton–Euler is proposed ...
Abstract: In recent years, supervised learning has been widely used in various tasks of optical remote sensing image (RSI) understanding, including RSI classification, pixel-wise segmentation, change ...
Abstract: In recent years, the popularity of depth sensors and 3D scanners has led to a rapid development of 3D point clouds. Semantic segmentation of point cloud, as a key step in understanding 3D ...