regarding the decentralization of credits management, this study examined the effect of fiscal policies on gross domestic product of the iranian provinces over the period 2001-2009. therefore, we used dynamic panel data and employed gmm-sys method to examine the model. the results show that the government expenditure and tax multiplier coefficients are less than one in short - run but greater t...

This paper provides a unified framework for quantifying the cross-country and cross-sector interactions among trade, innovation, knowledge diffusion. is used to study effect of trade liberalization in an endogenous growth model which comparative advantage stock are determined by innovation The calibrated match observed heterogeneity production, efficiency, spillovers. counterfactual analysis sh...

Gaussian Mixture Model (GMM) with Fuzzy c-means attempts to classify signals into speech and music. Feature extraction is done before classification. The classification accuracy mainly relays on the strength of the feature extraction techniques. Simple audio features such as Time domain and Frequency domain are adopted. The time domain features are Zero Crossing Rate (ZCR) and Short Time Energy...

I study how trade affects urbanization and real income. To this end, exploit large-scale exogenous changes in stemming from the redrawing of Hungary’s borders after First World War. show that counties near new border decreased significantly relative to farther away. rationalize reduced-form finding a spatial model which benefits trading drive agglomeration around locations where activity takes ...

â â â  â  â  abstract â  this paper aims to identify key challenges facing iran and south korea in their bilateral trade and investment relations. in particular, it is concerned with the policy implications which can be useful for policy makers and business people of both countries. for this purpose, we review and analyze the recent developments of the iranian economy and bilateral trade and in...

The problem of unsupervised audio classification continuous to be a challenging research problem which significantly impacts ASR and Spoken Document Retrieval (SDR) performance. This paper addresses novel advances in audio classification for speech recognition. A new algorithm is proposed for audio classification, which is based on Weighted GMM Network (WGN). Two new high-level features: VSF (V...

this study is an attempt to develop a model of the simultaneous structure of the aggregate dynamic supply and demand to be used for estimation of parameters from data related to iran’s economy. the method for developing the model is an application of the dynamic and simultaneous process of aggregate supply and demand. obtained differential equations are used for solve the model. to estimate the...

This study focuses on the classification of pathological voice using GMM (Gaussian Mixture Model) and compares the results to the previous work which was done by ANN (Artificial Neural Network). Speech data from normal people and patients were collected, then diagnosed and classified into two different categories. Six characteristic parameters (Jitter, Shimmer, NHR, SPI, APQ and RAP) were chose...