An Empirical Method for Particle Damping Design

Design of a New IPFC-Based Damping Neurocontrol for Enhancing Stability of a Power System Using Particle Swarm Optimization

The interline power flow controller (IPFC) is a concept of the FACTS controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. This paper proposes a novel IPFC-Based Damping Neuro-control scheme using PSO for damping oscil‌la‌t‌i‌o‌ns in a power system to improve power system stability. The add‌i‌tion of a supplementary controll...

development of an explicit eulerian method for treating particle laden turbulent flow in dust collectors

An Empirical Method for Measuring the Effectiveness of an Object-oriented Design Process

The effectiveness of a design process can be critical to the success of information system development projects. There have been very few empirical studies on the effectiveness of design processes that use unified modeling language (UML). This paper establishes a model for measuring the effectiveness of diagram derivation as a way of measuring the effectiveness of the object-oriented design (OO...

HYBRID PARTICLE SWARM OPTIMIZATION, GRID SEARCH METHOD AND UNIVARIATE METHOD TO OPTIMALLY DESIGN STEEL FRAME STRUCTURES

This paper combines particle swarm optimization, grid search method and univariate method as a general optimization approach for any type of problems emphasizing on optimum design of steel frame structures. The new algorithm is denoted as the GSU-PSO. This method attempts to decrease the search space and only searches the space near the optimum point. To achieve this aim, the whole search space...

An Empirical Selection Method for Document Clustering

Model Selection is a task selecting set of potential models. This method is capable of establishing hidden semantic relations among the observed features, using a number of latent variables. In this paper, the selection of the correct number of latent variables is critical. In the most of the previous researches, the number of latent topics was selected based on the number 1 / 4