A control strategy for power maximization which is an important mechanism to extract maximum under changing environmental conditions using Adaptive Particle Swarm Optimization (APSO) proposed in this paper. An Inertia Weighting Factor (AIWF) utilized the velocity update equation of traditional PSO improvement speed convergence and precision tracking Maximum Power Point (MPP) standalone Photovol...

With the rapid growth of isolated micro-grids, combined heating and power (CHP) can be integrated with photovoltaic (PV) system. The integration CHP-PV systems has a tremendous potential to increase system reliability efficiency as well reduce energy consumption CO2 emission. However, operating models require considerable analysis due uncertainty load demand, so it is not easy apply in order si...

The determination of the bearing capacity pile foundations is very important for their design. Due to high uncertainty various factors between and soil, many methods predicting ultimate focus on correlation with field tests. In recent years, artificial neural networks (ANN) have been successfully applied types complex issues in geotechnical engineering, among which back-propagation (BP) method ...

Primary lymphomas of the canine female genital tract are uncommon tumours. A 9-year-old intact female Lhasa Apso dog presenting with a closed pyometra underwent an ovariohysterectomy (OHE), and the hyperplastic uterine horn along with multiple follicular cysts on the right ovary was examined by histological analysis. Severe infiltration of medium-sized lymphocytes with strong positive immunorea...

It is important to forecast the pedestrian flows for organizing crowd activities and making risk assessments. In this article, the daily pedestrian flows in the Tiananmen Square are forecasted based on historical data, the distribution of holidays and weather conditions including rain, wind, temperature, relative humidity, and AQI (Air Quality Index). Three different methods have been discussed...

This research paper presents a new evolutionary optimization model based on the particle swarm optimization (PSO) algorithm that incorporates the flocking behavior of a spider. The search space is divided into several segments like the net of a spider. The social information sharing among the swarms are made strong and adaptive. The main focus is on the fitness of the swarms adjusting to the le...