<p>In this paper certain type of biometric measurements has been used to identify the cone beam computed tomography (CBCT) radiograph subject in a fast and reliable way. Where CBCT person is as data stored database for later use person’s recognition process. The aim research various stages preprocessing operations obtain clearest possible image that will help us identification process mor...

Heart chaotic system and the ability of particle swarm optimization (PSO) method motivated us to benefit the method of chaotic particle swarm optimization (CPSO) to synchronize the heart three-oscillator model. It can be a suitable algorithm for strengthening the controller in presence of unknown parameters. In this paper we apply adaptive control (AC) on heart delay model, also examine the sys...

Thresholding is one of the most important techniques for performing image segmentation. In this paper to compute optimum thresholds for Maximum Tsallis entropy thresholding (MTET) model, a new hybrid algorithm is proposed by integrating the Comprehensive Learning Particle Swarm Optimizer (CPSO) with the Powell’s Conjugate Gradient (PCG) method. Here the CPSO will act as the main optimizer for s...

This study present the optimal design of OFD (OFD) controller for static synchronous compensator (STATCOM) connected to a power system, in order to increase the damping of low frequency electromechanical oscillations. The design process is converted to an optimization problem with the time domain-based objective function which is solved by a Quantum-behaved Particle Swarm Optimization (QPSO) te...

Winding hotspot temperature is the key factor affecting the load capacity and service life of transformers. For the early detection of transformer winding hotspot temperature anomalies, a new prediction model for the hotspot temperature fluctuation range based on fuzzy information granulation (FIG) and the chaotic particle swarm optimized wavelet neural network (CPSO-WNN) is proposed in this pa...

The particle swarm optimizer (PSO) is a populationbased optimization technique that can be widely utilized to many applications. The cooperative particle swarm optimization (CPSO) applies cooperative behavior to improve the PSO on finding the global optimum in a high-dimensional space. This is achieved by employing multiple swarms to partition the search space. However, independent changes made...

This paper presents an approach to the design of optimal control strategy for plug-in hybrid electric vehicles (PHEVs) incorporating Internet Vehicles (IoVs). The is designed and implemented by employing a mobile edge computing (MEC) based framework IoVs. thresholds in can be instantaneously optimized chaotic particle swarm optimization with sequential quadratic programming (CPSO-SQP) units (ME...

This paper develops a full-bridge DC-AC converter, which uses robust optimal tracking control strategy to procure high-quality sine output waveshape even in the presence of unpredictable intermissions. The proposed brings out advantages non-singular fast convergent terminal attractor (NFCTA) and chaos particle swarm optimization (CPSO). Compared with typical TA, NFCTA affords convergence within...

Four chromogenic media were compared for their ability to detect urinary tract pathogens in 299 urine specimens, of which 175 were found positive, allowing the growth of 279 microorganisms. After 18 to 24 h of incubation, the CPS ID4, CPSE, CPSO (bioMérieux), and UriSelect4 (Bio-Rad) media showed sensitivities of 97.1%, 99.3%, 99.6%, and 99.6%, respectively.