In this paper, the effects of horizontal stress and dimensions of barrier pillars on the stability of drifts hr been investigated. An elastoplastic hybrid finite/boundary element program has been used. A plastic analysis of stresses in barrier pillars above the drifts in one of the underground coal mines with inclined seams is examined. Computed stresses and safety factor controur lines around ...

Ranking of companies listed on the exchange represent their status and considered a criterion for investment. Also, it increases market's competition, development and efficiency. In this study, the fifty superior companies listed in Tehran Stock Exchange were ranked based on financial ratios (liquidity, operational, leverage and profitability) using FAHP- FTOPSIS hybrid approach during the year...

Milling vibration is one of the most serious factors affecting machining quality and precision. In this paper a novel hybrid error criterion-based frequency-domain LMS active control method is constructed and used for vibration suppression of milling processes by piezoelectric actuators and sensors, in which only one Fast Fourier Transform (FFT) is used and no Inverse Fast Fourier Transform (IF...

In order to improve the accuracy and efficiency of the image retrieval systems vast research is going on in the direction of Content Based Image Retrieval instead of text based search of images which has got many constraints and drawbacks in the retrieval process. In this paper, we describe the novel techniques to retrieve similar images from large volume of databases based on contents. Feature...

During the fusion of audio and video information for speech recognition, the estimation of the reliability of the noise affected audio channel is crucial to get meaningful recognition results. In this paper we compare two types of reliability measures. One is the use of the statistics of the phoneme a-posteriori probabilities and the other is the analysis of the audio signal itself. We implemen...

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...

The phase-retrieval problem, fundamental in applied physics and engineering, addresses the question of how to determine the phase of a complex-valued function from modulus data and additional a priori information. Recently we identified two important methods for phase retrieval, namely, Fienup's basic input-output and hybrid input-output (HIO) algorithms, with classical convex projection method...

In this paper, the color image segmentation problem is addressed in supervised framework. In the supervised framework, we assume to have one original image from the class of images from which the given image is derived. In this framework, We have used Markov Random Field(MRF) to model the image label process and the MRF model parameters are estimated using the conditional pseudolikelihood crite...