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A preconditioner for transient stability time domain simulation
(2011)
Transient Stability analysis which is one of the most important tasks of power system dynamic security analysis determines the dynamic behaviour of the power system after a large disturbance. Differential and algebraic ...
Gelation electrical conductivity and elasticity of PAM- MWNT
(Cambridge Univ Press, 2011)
Polyacrylamide- Multiwalled carbonnanotube (PAM- MWNT) composites were prepared via free radical crosslinking copolymerization with different amounts of MWNT varying in the range between 0.1 and 15 wt. %. PAM- MWNT composite ...
An Efficient SAGE-based Data Detection Algorithm for OFDM Systems in the Presence of Very Fast Fading Channels
(IEEE, 2013)
In this paper an iterative and computationally efficient data detection algorithm is proposed based on the space alternating generalized expectation maximization (SAGE) technique for orthogonal division multiplexing (OFDM) ...
An intelligent approach to CAM software selection
(IEEE, 2012)
In this paper an intelligent approach is presented to help the companies select most suitable CAM software for their current and future needs. For this purpose fuzzy AHP method is used to carry out CAM selection process ...
Complex event post processing for traffic accidents
(IEEE, 2012)
In this paper we describe a framework for an expert system that tries to predict effects of an accident based on past data using supervised learning employing artificial neural networks. For this purpose sensory data events ...
Recent developments in the shell model Monte Carlo approach to nuclei
(IOP Publishing Ltd, 2012)
The shell model Monte Carlo (SMMC) approach provides a powerful method for the microscopic calculation of statistical and collective nuclear properties in model spaces that are many orders of magnitude larger than those ...
Nuclear level density of 161Dy in the shell Model Monte Carlo Method
(EDP Sciences, 2012)
We extend the shell-model Monte Carlo applications to the rare-earth region to include the odd-even nucleus Dy-161. The projection on an odd number of particles leads to a sign problem at low temperatures making it impractical ...
Recent Advances in the Application of the Shell Model Monte Carlo Approach to Nuclei
(IOP Publishing Ltd, 2015)
The shell model Monte Carlo (SMMC) method is a powerful technique for calculating the statistical and collective properties of nuclei in the presence of correlations in model spaces that are many orders of magnitude larger ...
Collective enhancement of nuclear state densities by the shell model Monte Carlo approach
(IOP Publishing Ltd, 2015)
The shell model Monte Carlo (SMMC) approach allows for the microscopic calculation of statistical and collective properties of heavy nuclei using the framework of the configuration-interaction shell model in very large ...
Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods
(Institute of Electrical and Electronics Engineers Inc., 2018)
Deep learning is a subfield of machine learning and deep neural architectures can extract high level features automatically without handcraft feature engineering unlike traditional machine learning algorithms. In this ...