Archives-December 2014

Salinity is one of the major stresses in arid and semi-arid regions causing adverse effects at physiological, biochemical, and molecular levels, limiting crop productivity. In this research, three canola cultivars (Licord, Talayeh, Zarfam) were compared at 5 salinity levels (control, 50, 100, 150 and 200 mM) for their catalase, guaiacol peroxidase, superoxide dismutase activity,proline and yield in a completely randomized design with 3 replications. In our study, we found that NaCl concentrations greater than 150 and 200 mM caused the irreversible disorders. Increased salt concentrations led to significant changes in the levels of antioxidative enzymes and proline in three canola cultivars. Also, yield rates in three varieties decreased in the presence of NaCl concentrations.

Face recognition recently plays an important role in many application areas such as: commercel, politic, and security. That’s why recognition and high recognition rates of them is very important. features extraction ,decrease of extracted features dimentions and classify are three major and important in the face recognition systems, in the project, we apply third level of gabor wavelet transform for compress and features extraction, also, we apply principle component analyse(PCA)for dimention decrease of extracted features at extremity, we use radial basis function network(RBFN)for classify and recognition this proposal system performs on the ORL face database. This system results average correct recognition percent 97.75% on ORL database.

Indoor radon levels were measured in four seasons throughout 2013 in public hospitals for Iraqi Kurdistan, using a passive technique CR-39 nuclear track detectors. Thus, the highest and lowest values of rate indoor radon were in winter (105.3 ± 17.20 Bq/m3) and summer (39.92 ± 8.28 Bq/m3) season, respectively. This different value depended for ventilation rate, building material and geological formation. According to the estimation risk factor, the radon induced lung cancer risks for public hospitals in selected locations was varied from 2.7 ± 0.08 to 11.16 ± 1.94 per million people. The highest and lowest values of annual effective dose were recorded in winter and summer seasons, respectively.

The presented paper treats as one dimensional inverse heat conduction problem using boundary integral method. Here we try to give an algorithm for the inverse heat conduction problem by using basic solution. To verify our algorithm, we consider a numerical problem and then solve it.

In the present study fulvic acids (FAs) were first isolated from fulvic water (FW) and fulvic urea (SU) and then their quantification was accomplished by spectrophotometric methods. Aqueous solutions of FAs, FW and SU were made at pH 7.0 in the visible wavelength region at 25 oC using calibration curve method. Plot of absorbance Vs concentration of FAs at fixed wavelength (424 nm) was linear up to 120 mg L-1. The calculated FAs concentrations were in reasonable agreement with the gravimetric estimation made by solvent extraction.

The OFDM based architectures severely suffers with the Impairments like IQ imbalance and Carrier Frequency Offset (CFO). These impairments lead to Inter Carrier Interference (ICI). It causes reduction in the performance of the systems in terms of Bit Error Rate (BER). In this paper we propose an adaptive equalizer to compensate for these impairments caused at Tx and Rx while considering Inter Block Interference (IBI) due to mismatch between Cyclic Prefix (CP) and Channel Impulse Response. If the cyclic prefix is sufficient an LMS based adaption with 2 tap is proposed which converges easily. In case of lesser length of CP a Frequency domain Per Tone Equalizer (PTEQ) is proposed which uses separate T-taps for each tone unlike Time domain Equalizer (TEQ) which equalizes all tones jointly and limits the system performance. This proposed equalizer thus increases the delay of channel response and hence reduces the IBI. The frequency domain equalizer after FFT will perform well and the simulation results shows that both the equalizers BER values are very near to the curves for ideal case.

This study examined and compared six basic time series forecasting models (Exponential model, Double Exponential model, Holt-Winter models, Time Series linear regression model, the ad-hoc Bootstrapping model and the Self Adjusting model) with application to twenty-four Months Nigeria’s CPI inflation sample data, from January 2009 to December 2010 inflation data. With the aids of five different standard forecasting accuracy measures (MSE, MAE, RMSE, SSE, and MAPE), results from the out-of-sample forecasts shows that the double exponential model with a smoothening constant of 0.68 is the best forecasting model for the Nigeria inflation rate data among the other ad-hoc model considered.

The main objective of the current proposed work is to emphasizes on the fact that there is a dire need to discover novel bionic shapes for the urban wind turbine rotors which would dovetail with the cornered flow patterns and thereby enable the capture of the high kinetic energy existing in the vicinity of the cornered flow past a building in an urban terrain. And this clearly affirms the effectiveness of the urban wind turbines and its utility as a renewable source rendering us with an alternative and superior way of electricity generation.

The main objective of the current proposed work is to study the technical, environmental and economical feasibility of the implantation of co firing technology in a Biomass power plant with pulverised low rank coal. Co-firing biomass and coal increases the use of sustainable fuels without large capital investments, and takes advantage of the high efficiencies obtainable in coal-fired power plants. Fuel diversity is another advantage of biomass/coal co-firing. Co-firing reduces the need for a constant supply of biomass required as in a biomass power plant, and is a viable way to decrease the emissions of greenhouse gases and other pollutants from power-generating facilities. As a result, using renewable and sustainable energy resources, such as biomass co-firing, for electricity production exhibits great potential in the near future. The use of dedicated biomass feed stocks for electricity generation could help to reduce the accumulation of greenhouse gases. This work focuses on minimization of overall unit cost of electricity with a maximum performance.

The main objective of the research presented herein was to developed poly(dodecyl phenol formaldehyde)-b-poly(oxypropylene) block copolymer for asphaltene precipitation problem and performance of some asphaltene inhibitors\dispersant for a heavy crude oil provided by the Hossia crude oil (Ras Gharib – Egyptian Eastern desert). The dispersants/inhibitors was synthesized in tow steps; 1) synthesis of poly(dodecyl phenol formaldehyde) resin (PDPF) at three different molecular weights (1936, 4047 and 8092) namely PDPF1, PDPF2 and PDPF3 respectively; 2) propoxylation of the prepared compounds to produce PDPF1-b-POP, PDPF2-b-POP and PDPF3-b-POP has molecular weight (3096, 5179 and 9202) respectively. All of the synthesized compounds were evaluated as asphaltene inhibitors/dispersants at 100, 500 and 1000 ppm using UV spectrophotometer. The molecular weights were determined by GPC. The chemical structure of the prepared compounds was confirmed by IR and H1NMR. The crude oil was analyzed by GC. The results also revealed distinct inhibition of asphaltene precipitation in crude oils.