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 investment relations betwee...

investing in stock markets usually is involved in more risks than the bounds and bank deposits. it is expected that resulting returns (capital gain plus yields) from trading in a stock market to be more than those of in a risk free investment. therefore, developing accurate techniques of estimation and forecasting in volatility analysis of financial markets is inevitable. sum squares of weekly ...

Context. Observations with the Hinode spectro-polarimeter have revealed strong horizontal internetwork magnetic fields in the quiet solar photosphere. Aims. We aim at interpreting the observations by means of results from numerical simulations. Methods. Radiative MHD simulations of dynamo action by near-surface convection are analyzed with respect to the relation between vertical and horizontal...

In this paper we consider linear systems with faults. We present a new system decomposition well suited for sensor location in the Fault Detection and Isolation problem. We deal with this problem when the system under consideration is structured, that is, the entries of the system matrices are either fixed zeros or free parameters. To such structured systems one can associate a graph. We presen...

abstract the purpose of this paper is to test the hypothesis first proposed by romer (1993); suggesting that inflation is lower in more open economies. according to this hypothesis, central banks have a lower incentive to engineer surprise inflations in more-open economies because the phillips curve is steeper. furthermore, comparing with other empirical studies, this paper has used the new kof...

A new event detection scheme for power quality analysis based on the statistical analysis of adaptive decomposition signals is proposed. Proposed scheme is implemented using MATLAB Simulink DSP Blockset. The combination of an adaptive prediction filter based subband decomposition structure with a rule based histogram analysis block produced successful detection and classification results on ou...

Modular neural networks have the possibility of overcoming common scalability and interference problems experienced by fully connected neural networks when applied to large databases. In this paper we trial an approach to constructing modular ANN's for a very large problem from CEDAR for the classification of handwritten characters. In our approach, we apply progressive task decomposition metho...