Feature extraction and accurate classification of the emotion-related EEG-characteristics have a key role in success of emotion recognition systems. In this paper, an optimal EEG-based emotion recognition algorithm based on spectral features and neural network classifiers is proposed. In this algorithm, spectral, spatial and temporal features are selected from the emotion-related EEG signals by...

Real-time testing of coal ash plays a vital role in the chemical, power generation, metallurgical, and separation sectors. The rapid online using radiation measurement as mainstream technology has problems such strict sample requirements, poor safety, low accuracy, complicated equipment replacement. In this study, an intelligent detection technique based on feed-forward neural networks improved...

Recently, Plug-in Hybrid Electric Vehicles (PHEVs) have gathered a lot of attention by integrating an electric motor with Internal Combustion Engine (ICE) to minimize fuel consumption and greenhouse gas emissions. The On-Board Chargers (OBCs) are selected in this research because they limited dimensions mass, also consume low amounts power. Equivalent Series Resistance (ESR) filter capacitor is...

Tris(trimethylsilyl)silane (TTMSS) and azobisisobutironitrile (AIBN) promote the intramolecular heteroarylation of arenesulfonamides with pyridyl radicals under thermal conditions. The arenesulfonamides are easily prepared from pyridinium N-2 0pyridylaminide. The heteroarylation process involves pyridyl radical cyclization and ipso substitution. q 2004 Elsevier Ltd. All rights reserved.

Little work has been carried out to predict the comfort of aircraft seats, a component in close contact with human body during travel. In order more accurately nonlinear and complex relationship between subjective objective evaluations comfort, this paper proposes prediction method based on Improved Particle Swarm Algorithm (IPSO) optimized Support Vector Machine Regression (SVR). Focusing prob...

In order to meet security requirements of space on orbit service, an obstacle avoidance trajectory planning method using improved particle swarm optimization had been presented in this paper. On the basis actual overall structure 7 degrees freedom redundant manipulator and characteristics obstacles, envelope was used model arm respectively. The limit conditions avoid collision between them were...

This article analyzes and compares the integration of two different maximum power point tracking (MPPT) control methods, which are tested under partial shading fast ramp conditions. These MPPT methods designed by Improved Particle Swarm Optimization (IPSO) a combination technique between Neural Network Perturb Observe method (NN-P&O). implemented simulated for photovoltaic systems (PV), whe...