Results 271 to 280 of about 128,433 (326)
Research on a Drone‐Based Vacant Parking Detection System
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.It can be difficult to know which spaces are available in parking lots and bicycle parking areas, so knowing the availability status is necessary for efficient parking. Therefore, in this study, we developed the drone that can display the availability status. Availability is determined by whether it can read a QR code attached to the ground. To conduct
Hiroki Mineshita +2 more
wiley +1 more source
Speed Control of Three Phase Induction Motor Using Universal Bridge and PID Controller
, 2019 H Hartono +2 more
openalex +1 more source
Wildlife Biology, EarlyView.Reliable abundance estimates provide essential information in ecology, conservation and management of many wild grouse populations. In this 3‐year study, we comparatively evaluate the suitability of traditional line transect distance sampling of flushed birds versus a spatial capture–recapture survey with noninvasive DNA samples for individual ...
Henrik Brøseth +2 more
wiley +1 more source
Optimisation of PID controller for load frequency control in two-area power system using evolutionary particle swarm optimisation [PDF]
, 2016 Hazlee Azil Illias +2 more
openalex
AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang +6 more
wiley +1 more source
Optimization of PID controller parameters for active control of single degree of freedom structures
, 2019 Serdar Ulusoy +2 more
openalex +1 more source
A Survey on Reinforcement Learning for Optimal Decision‐Making and Control of Intelligent Vehicles
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Reinforcement learning (RL) has been widely studied as an efficient class of machine learning methods for adaptive optimal control under uncertainties. In recent years, the applications of RL in optimised decision‐making and motion control of intelligent vehicles have received increasing attention.
Yixing Lan +5 more
wiley +1 more source