Macroeconomic Implications of Capital Inflows in India

The study attempts to analyse the behaviour of some macroeconomic variables in response to total capital inflows in India using quarterly data for the period 1994Q1-2007Q4. Time trend of all variables except nominal effective exchange rate-both export and trade based and current account balance shows instability over the period of study. Current account balance is the only variable which is stationary in level form all other variables are stationary in first difference form. Cointegration test confirms the long run equilibrium relation between total capital inflows (TCI) and real effective exchange rate-both trade based and export based and between TCI and nominal effective exchange rate-export based. Granger causality test confirms the bidirectional causality between real effective exchange rate-export based and TCI and between foreign exchange reserve & TCI and unidirectional causality from TCI to real effective exchange rate-trade based.International Capital Inflows, Time Series Econometrics

Problems and Prospects of Islamic Banking: a case Study of Takaful

The paper is an attempt to analyse the working of Takaul in the world and its popularity in the insurance sector in the world. Keeping in view of Sharia we have also tried all possible aspects of insurance system popular in the world and tried to look at its possibility to familiarize more amongst Muslims of the world. It is observed that customer awareness remain low, however this is often attributed to a limited understanding of Islamic finance in the banking and insurance world. We wish to have a proper salesmanship and advertisement of Islamic banking system in India and all around the world.Islamic Banking, Takaful

The performance of two mothers wavelets in function approximation.

Research into Wavelet Neural Networks was conducted on numerous occasions in the past. Based on previous research, it was noted that the Wavelet Neural Network could reliably be used for function approximation. The research conducted included comparisons between the mother functions of the Wavelet Neural Network namely the Mexican Hat, Gaussian Wavelet and Morlet Functions. The performances of these functions were estimated using the Normalised Square Root Mean Squared Error (NSRMSE) performance index. However, in this paper, the Root Mean Squared Error (RMSE) was used as the performance index. In previous research, two of the best mother wavelets for function approximations were determined to be the Gaussian Wavelet and Morlet functions. An in-depth investigation into the two functions was conducted in order to determine which of these two functions performed better under certain conditions. Simulations involving one-dimension and two-dimension were done using both functions. In this paper, we can make a specifically interpretation that Gaussian Wavelet can be used for approximating function for the function domain [−1, 1]. While Morlet function can be used for big domain. All simulations were done using Matlab V6.5

Irregular repetition code hybrid ARQ in wireless system

Error control consists of error detection and error correction in the communication system. The purpose of this research work is to reduce error in the wireless communication system by using the advantages of both error correction techniques which are forward error correction (FEC) and automatic repeat request (ARQ). Thus, error can be corrected without retransmission and also via retransmission(s) when needed. Combination of FEC and ARQ is known as Hybrid ARQ. In this paper, Hybrid ARQ system is designed using three components which are the irregular repetition code (IRC) as a simple code, bit-interleaved coded modulation with iterative decoding (BICM-ID) as a simple Turbo processing and ARQ. The HARQ system is enhanced by the extended mapping (EM) adopted in the mapping system. The performance of the systems is evaluated in the additive white Gaussian noise (AWGN). The results show the Hybrid ARQ with extended mapping (Hybrid ARQ-EM) outperforms Hybrid ARQ with standard mapping (Hybrid ARQ-SM). Hybrid ARQ-EM achieves low bit error rate BER (10-5) at low signal-to-noise ratio SNR which only 3.03dB close to the theoretical limit. The proposed system Hybrid ARQ-EM achieves 52 percent gain enhancement of SNR gap from the theoretical limit compared to Hybrid ARQ-SM. Hybrid ARQ-EM gives better performance although in worse channel condition

Generation of Q-switched thulium-doped fiber laser (TDFL) using differentsaturable absorbers

A Q-switched Thulium-doped Fiber Laser (TDFL) operating at approximately 2 µm wavelength is successfully generated by using four different saturable absorbers (SAs) which are nitrogen-doped graphene in PVA (NG:PVA), nitrogen-doped graphene in PEO (NG:PEO), single-walled carbon nanotube in PVA (SWCNT:PVA), and high pressure carbon monoxide carbon nanotube in PVA (CNTHiPCO:PVA). The SAs integrated in the cavity were able to provide the real saturable absorption in modulating the intra-cavity losses. SWCNT gives the best results with the highest repetition rate and lowest pulse width of 57.45 kHz and 1.958 nJ correspondingly as compared to the other three SAs

Recovery of palm oil and valuable material from oil palm empty fruit bunch by sub-critical water

Oil palm empty fruit bunch (EFB) is one of the solid wastes produced in huge volume by palm oil mill. Whilst it still contains valuable oil, approximately 22.6 million tons is generated annually and treated as solid waste. In this work, sub-critical water (sub-cw) was used to extract oil, sugar and tar from spikelet of EFB. The spikelet was treated with sub-cw between 180-280°C and a reaction time of 2 and 5 minutes. The highest yield of oil was 0.075 g-oil/g-dry EFB, obtained at 240°C and reaction time of 5 minutes. Astonishingly, oil that was extracted through this method was 84.5% of that obtained through Soxhlet method using hexane. Yield of oil extracted was strongly affected by the reaction temperature and time. Higher reaction temperature induces the dielectric constant of water towards the non-polar properties of solvent; thus increases the oil extraction capability. Meanwhile, the highest yield of sugar was 0.20 g-sugar/g-dry EFB obtained at 220°C. At this temperature, the ion product of water is high enough to enable maximum sub-critical water hydrolysis reaction. This study showed that oil and other valuable material can be recovered using water at sub-critical condition, and most attractive without the use of harmful organic solvent

Selection of mother wavelets thresholding methods in denoising multi-channel EEG signals during working memory task

The aim of this pilot study was to select the most similar mother wavelet function and the most efficient threshold in order to use with wavelet basis function for the human brain electrical activity during working memory task. A 60 seconds was recorded from the scalp using the Electroencephalography (EEG). 19 electrodes were placed over different sites on the scalp where analyzed for one control subject and one post-stroke patients in the first week of his stroke onset. In this study, forty-five mother wavelet basis functions from orthogonal families with four thresholding methods were used. The selection of mother wavelet functions like Daubechies (db), symlet (sym) and coiflet (coif) and the thresholding methods these are sqtwolog, rigrsure, heursure and minimax are to check mother wavelet functions similarity with the recorded EEG signals during working memory task. The test have been done using four evaluating criteria, namely signal to noise ratio (SNR), peak signal to noise ratio (PSNR) mean square error (MSE) and crosscorelation method (xcorr). Symlet mother wavelet of order 9 (sym9) is the most compatible for all the 19 channels for both EEG datasets that selected to be examined and the best results have been obtained by using the rigrsure thresholding method

Technical Efficiency of Microfinance Institutions in India- A Stochastic Frontier Approach

Study attempts to measure the efficiency level and its determinants of a sample of microfinance institutions operating in India by applying stochastic frontier approach for unbalanced panel of 40 microfinance institutions for the 2005-08. It has been found that mean efficiency level of microfinance institutions is quite low but it increases over the period of study. Age of microfinance institutions is positive determinant of efficiency level but size does not matter much. Higher outreach is associated with higher efficiency which negates the general perception of trade off between outreach and efficiency. Microfinance institutions operating in southern states are more efficient than their counterparts. It has been found that regulated microfinance institutions are less efficient

Macroeconomic Implications of Capital Inflows in India

The study attempts to analyse the behaviour of some macroeconomic variables in response to total capital inflows in India using quarterly data for the period 1994Q1-2007Q4. Time trend of all variables except nominal effective exchange rate-both export and trade based and current account balance shows instability over the period of study. Current account balance is the only variable which is stationary in level form all other variables are stationary in first difference form. Cointegration test confirms the long run equilibrium relation between total capital inflows (TCI) and real effective exchange rate-both trade based and export based and between TCI and nominal effective exchange rate-export based. Granger causality test confirms the bidirectional causality between real effective exchange rate-export based and TCI and between foreign exchange reserve & TCI and unidirectional causality from TCI to real effective exchange rate-trade based

An Econometric Analysis of Inter-State Variations in Women’s Labour Force Participation in India

The study attempts to investigate the factors responsible for the inter-state variations in women’s labour force participation in India by using the NSSO 61st round (2004-05) data. Two separate regression models for rural and urban women between women’s labor force participation as dependent variable and its various possible determinants have been estimated to identify the factors determining the rural and urban women’s labour force participation by using cross sectional data of all states and union territories of India. Our findings suggest that Personal variables education and wages are significant determinants of urban women’s labour force participation but not of rural women’s labour force participation. Other important determinants of women’s labour force participation are sex ratio, Muslim population, SC and ST population and Unemployment rate