scholarly journals Cross-Correlation Wavelet-Domain-Based Particle Swarm Optimization for Lightning Mapping

2021 ◽  
Vol 11 (18) ◽  
pp. 8634
Author(s):  
Ammar Alammari ◽  
Ammar Ahmed Alkahtani ◽  
Mohd Riduan Ahmad ◽  
Ahmed Aljanad ◽  
Fuad Noman ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Cross Correlation ◽  
Particle Swarm ◽  
Sliding Window ◽  
Event Extraction ◽  
Wavelet Domain ◽  
Estimation Errors ◽  
Swarm Optimization ◽  
Lightning Strikes ◽  
The Real

Several processing methods have been proposed for estimating the real pattern of the temporal location and spatial map of the lightning strikes. However, due to the complexity of lightning signals, providing accurate lightning maps estimation remains a challenging task. This paper presents a cross-correlation wavelet-domain-based particle swarm optimization (CCWD-PSO) technique for an accurate and robust representation of lightning mapping. The CCWD method provides an initial estimate of the lightning map, while the PSO attempts to optimize the trajectory of the lightning map by finding the optimal sliding window of the cross-correlation. The technique was further enhanced through the introduction of a novel lightning event extraction method that enables faster processing of the lightning mapping. The CCWD-PSO method was validated and verified using three narrow bipolar events (NBEs) flashes. The observed results demonstrate that this technique offers high accuracy in representing the real lightning mapping with low estimation errors.

Particle Swarm Optimization MPPT Method for PV Materials in Partial Shading

2011 ◽  
Vol 321 ◽  
pp. 72-75 ◽  
Author(s):  
Chun Xia Liu ◽  
Li Qun Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Large Scale ◽  
Particle Swarm ◽  
Response Speed ◽  
Pso Algorithm ◽  
Development Stage ◽  
Partial Shading ◽  
Swarm Optimization ◽  
The Real ◽  
Point Tracking

Today, the large-scale Photovoltaic (PV) power system, connected to grid, is in their advanced development stage and is extremely interest in whole world. The real large-scale PV array can be partially shaded by the shadow of building, cloud, bird and dirt. The output characteristic of PV materials in partially shaded conditions is strong nonlinear, and there are multi local peaks in output power voltage curve, and the only one real peak exists in these local peaks. Certainly, the maximum power point tracking (MPPT) method is very important to extract the as much as possible energy from the costly PV materials. The variant weight Particle Swarm Optimization (PSO) method is proposed to track the real peak by using the excellent multi-peak value optimization characteristic of PSO algorithm. The simulation results shows that the proposed PSO method can improve the response speed and output efficiency of PV materials in partial shading as compared to the conventional Incremental conductance (IC) method.

scholarly journals Passengers’ Evacuation in Ships Based on Neighborhood Particle Swarm Optimization

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Gan-Nan Yuan ◽  
Li-Na Zhang ◽  
Li-Qiang Liu ◽  
Kan Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Degree Of Freedom ◽  
Swarm Optimization ◽  
The Real ◽  
Environment Factor ◽  
Evacuation Model ◽  
Freedom Movement ◽  
Intelligent Model ◽  
Test Scenarios

A new intelligent model to simulate evacuation behavior in ships called neighborhood particle swarm optimization is proposed. This model determines the rules of behavior and velocity updating formulas to solve staff conflicts. The individuals in evacuation are taken as particles in PSO and update their behaviors by individual attributes, neighborhood attributes, and social attributes. Putting the degree of freedom movement of ships into environment factor and using the real Ro-Ro ship information and IMO test scenarios to simulate the evacuation process, the model in this paper can truly simulate the behavior of persons in emergency and provide a new idea to design excellent evacuation model.

scholarly journals Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm

2017 ◽  
Vol 6 (3) ◽  
pp. 127-138
Author(s):  
Nyayu Husni Latifah ◽  
Ade Silvia ◽  
Siti Nurmaini ◽  
Falah Yuridho ◽  
Irsyadi Yani
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Real Experiment ◽  
The Real ◽  
Simulation Validation ◽  
Swarm Robot

In this reseach, a PSO method is impelemented in searching a gas leakage.  A swarm robot consisted of 3 agents, yelow, blue, and green, was used.  The research was done in 2 type of experiments, i.e. in simulation and real expeiment.  A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used.  From the experiment,  it can be concluded that a good performance of a swam can be achieved using PSO method.

Sign in / Sign up

Export Citation Format

Share Document