IDR @ IIT Bhubaneswar
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Item Impact of policy reforms on the productivity growth of Indian coal mining: A decomposition analysis(2018) Sahoo A.K.; Sahu N.C.; Sahoo D.Globalisation of the mining sector in India effectively began in 2005 in the form of opening up the sector for foreign direct investment (FDI) fully. This liberalisation has been criticised by some researchers, while some others have argued that the liberalisation has improved the productivity growth of the coal mining sector. These arguments necessitate further empirical analyses to gauge the productivity growth before and after the liberalisation. In this context, the paper analyses the sources of total factor productivity (TFP) growth in a decomposed formulation for the coal mining sector in India during 1988�2014. Further, a comparative analysis of TFP growth has been made by splitting the whole period into pre-liberalisation (1989�2005) and post-liberalisation (2006�2014) of the mining sector. It is found that technical efficiency change has significantly improved from 1.65% during 1989�2005 to 3.09% in 2006�2014, while technical progress has shown no such improvement even after opening up the sector fully. Thus, it calls for the attention of policymakers to enhance investment in technological upgradation as well as scale of operation of coal mining sector in India. � 2018 Elsevier LtdItem Has Odisha become less poor in the last decade?(2014) Samantaraya A.; Sahoo A.K.; Mallick A.; Bhuyna B.Though there has been overall economic progress in India in the post-reform period, it has not been uniform across the country. This article points out that contrary to popular perception, Odisha gradually improved its relative economic position in the second half of the post-reform period. This is evident both in terms of per capita income and key socio-economic indicators. A household survey undertaken to assess the situation at the grass-roots level also corroborates this. An analysis of the information from the survey also suggests that good irrigation facilities, road connectivity, and proximity to vibrant economic activities, such as mining and industry, facilitate more earning and a better standard of living.Item Suppression of grating lobes in stepped frequency LFM pulse train using PSO(2014) Sahoo A.K.; Panda G.Frequency stepping technique is used in radar to achieve high range resolution and this technique requires inexpensive transmitter hardware. However, its matched filter output introduces undesired peaks known as grating lobes. In this letter efficient particle swarm optimization (PSO) based technique is proposed which judiciously determines the parameters of a linear frequency modulated (LFM) pulse train that enables effective suppression of grating lobes. Simulation results have been provided to demonstrate the efficacy of the proposed method. � 2014 Published by Elsevier Masson SAS.Item Mineral export and economic growth in India: evidence from VAR model analysis(2014) Sahoo A.K.; Sahu N.C.; Sahoo D.; Pradhan B.B.Mineral resource is one of the important natural resources of India which contributes to the national income through mineral export earnings and acts as an important input for the industrial sector of domestic economy. In this paper, an attempt has been made to explore the dynamic relationship among mineral export, economic growth and industrial production in India over the period from 1981 to 2010. The present study is based on secondary data which is extracted from the Reserve Bank of India database on Indian economy. We have adopted a vector auto regression (VAR) model analysis based upon impulse response function (IRF) and variance decomposition (VD) to find out the relationship among variables. The result of IRF suggests that economic growth responses positively to a shock in mining export, whereas industrial production responses in a negative way. It has been found that mining export is not contributing at large towards industrial production of India in the short run, but in the long run, a significant share of industrial production is caused by mining export. It is also found that both industrial production and economic growth explain for variation in mineral export in India in the long run. � 2014, Springer-Verlag Berlin Heidelberg.Item Mining export, industrial production and economic growth: A cointegration and causality analysis for India(2014) Sahoo A.K.; Sahoo D.; Sahu N.C.This paper investigates the relationship among mining export, industrial production, and economic growth in India using annual time series data from 1981 to 2010. It is based on the secondary sources of data extracted from Reserve Bank of India database. The multivariate cointegration technique has been employed to see the long run equilibrium relationship among variables. Further, Granger causality based on vector error correction model (VECM) has been adopted to see both short run and long run causality among the variables. The cointegration results confirm that mineral exports, industrial production and economic growth are cointegrated, indicating an existence of long run equilibrium relationship among variables. Similarly, the VECM Granger causality result holds that there is a long-run Granger causality relationship running from economic growth and industrial production to the mineral export of India. � 2014 Elsevier Ltd.Item A multiobjective optimization approach to determine the parameters of stepped frequency pulse train(2013) Sahoo A.K.; Panda G.Frequency stepping techniques are commonly used in modern radar system to get high range resolution with the disadvantage that its autocorrelation function (ACF) yield undesirable "grating lobes". Wider mainlobe deteriorates the range resolution capability of the waveform and higher peak sidelobe either hides the small targets or causes the false target detection. Several techniques have been used to choose the parameters of linear frequency modulated (LFM) pulse train to suppress the grating lobes without paying much attention to the mainlobe width and peak sidelobe level. In this paper a multiobjective optimization (Nondominated Sorting Genetic Algorithm-II (NSGA-II)) approach is proposed to optimize the parameters of the LFM pulse train to achieve reduced grating lobes, low peak sidelobe level and narrow mainlobe width. The optimization problem has been studied in two different ways: first one is associated with the reduction of grating lobes and the minimization of peak sidelobe level of the ACF with constraints and second one is related to the minimization of the peak sidelobe level and mainlobe width of the ACF with constraints. Simulation studies have been carried out to justify the potentiality of the proposed approach. � 2011 Elsevier Masson SAS. All rights reserved.Item A technique for pulse RADAR detection using RRBF neural network(2012) Sahoo A.K.; Panda G.; Majhi B.Pulse compression technique combines the high energy characteristic of a longer pulse width with the high resolution characteristic of a narrower pulse width. The major aspects that are considered for a pulse compression technique are signal to sidelobe ratio (SSR), noise and Doppler shift performances. The traditional algorithms like autocorrelation function (ACF), recursive least square (RLS) algorithm, multilayer perceptron (MLP), radial basis function (RBF) and recurrent neural network (RNN) have been applied for pulse compression and their performances have also been studied. This paper presents a new approach for pulse compression using recurrent radial Basis function (RRBF) neural network. 13 and 35-bit Barker codes are taken as input to RRBF network for pulse compression and the results are compared with MLP, RNN and RBF network based pulse compression schemes. The analysis of simulation results reveals that RRBF yields higher SSR, improved noise performance, better Doppler tolerance and hence more robust for pulse radar detection compared to the other techniques. � 2012 Newswood Limited. All rights reserved.Item Sidelobe suppression using convolutional windows in radar(2012) Sahoo A.K.; Panda G.The matched filter output of pulse compression radar is associated with range sidelobes along with the mainlobe. To reduce these sidelobes, different types of windows are used as weighing function at the receiver. When the target is in motion, the reflected signal is Doppler-shifted version of the original transmitted signal. If this Doppler-shifted signal is passed through the receiver matched filter, it produces very low Peak to Sidelobe Ratio (PSR). In this paper, we have proposed the use of convolutional windows at the receiver along with amplitude tapered or phase distorted transmitted Linearly Frequency Modulated (LFM) signal to get high PSR value in Doppler shift condition. Exhaustive simulation studies are carried out for Time-Bandwidth (TB) product of 50 and 100 and it is found that convolutional windows provide superior PSR performance over conventional windows. � 2012 Inderscience Enterprises Ltd.Item A recurrent neural network approach to pulse radar detection(2009) Sailaja A.; Sahoo A.K.; Panda G.; Baghel V.Matched filtering of biphase coded radar signals create unwanted sidelobes which may mask some of the desired information. This paper presents a new approach for pulse compression using recurrent neural network (RNN). The 13-bit and 35-bit barker codes are used as input signal codes to RNN. The pulse radar detection system is simulated using RNN. The results of the simulation are compared with the results obtained from the simulation of pulse radar detection using Multilayer Perceptron (MLP) network. The number of input layer neurons is same as the length of the signal code and three hidden neurons are taken in the present systems. The Simulation results show that RNN yields better signal-to-sidelobe ratio (SSR) and doppler shift performance than neural network (NN) and some traditional algorithms like auto correlation function (ACF) algorithm. It is also observed that RNN based system converges faster as compared to the MLP based system. Hence the proposed RNN provides an efficient means for pulse radar detection.Item Generation of pulse compression codes using NSGA-II(2009) Sahoo A.K.; Panda G.; Pradhan P.M.Pulse compression technique avoids the transmission of a signal having small pulse width and high peak power for better range resolution by transmitting phase or frequency modulated large pulse width signal having comparatively low peak power signal. This paper demonstrates an application of non dominated sorting genetic algorithm-II (NSGA-II)