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Performance Evaluation on EZW & SPIH Image Compression Techniques

The wavelet transform is widely used in image processing algorithms. In this paper two different wavelet compression techniques are applied on the image. The compression is performed using EZW and SPIHT wavelet based compression techniques. In compression, wavelets have presented a good flexibility to a wide range of data, while being of reasonable complexity. These techniques are more efficient and provide a better quality in the image. The techniques are compared by using the performance parameters Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Compression Ratio (CR) and Bit rate (BR) at different threshold. In the end the conclusion is observed to know which technique is better for image compression. It is observed that compression ratio for SPIHT is better as compared to compression ratio of EZW.

Tags: EZW, MSE, PSNR, SPIHT., Science,
Zoom FFT Algorithm in Ultrasonic Blood Flow Analysis  Using MATLAB

An adequate blood supply is required for the normal functioning of all organs in the body. However this flow can be impeded due to several reasons, thrombus or clot being a major one. Detection of such clots is done with the help of an imaging technique called “DOPPLER ULTRASONOGRAPHY” by transmitting an ultrasound pulse and calculating the frequency of the received signal. If there is no clot the reception is always a homogenous signal, whereas if a certain part being sonographed has a clot the received signal shows a variance in frequency which depends upon the distance from the receiver. Hence blood clot detection in ultrasonography is based on obtaining the frequency variance and applying adaptive thresholding.In this work we propose a ZOOM FFT based technique followed by automated adaptive thresholding to detect the clot. Data files are synthesized by simulation in MATLAB. Also the entire system is developed in a Matlab environment for the system to be both simple

Design and Evaluation of Extended release tablet of  Venlafaxine Hydrochloride using Compression coa

Venlafaxine Hcl is an anti-depressant drug which is used in depression. The aim of present investigation was to prepare an ER tablet of Venlafaxine Hcl with similar dissolution profile matching to Effexor ER. An immediate release core tablet of 100mg was prepared and it was compression coated using HPMC matrix system. HPMC of three viscosity grades i.e., K4M, K15M, K100M and different concentrations of 15% polymer, 25% polymer, 35% polymer & 45% polymer were taken. With the above polymers by using wet granulation and direct compression process 24 formulations were prepared. The data obtained from in vitro drug release was used to determine the similarity factor between marketed and optimized product. Out of all F7 formulation (K15M 35% polymer) is optimized and is matching with the marketed product.

Does Practicing Good Governance Enhance the Public  Trust Towards the Lebanese Government?

The objective of this paper is to examine empirically the influence of good governance practices on the public trust in Lebanon. It presents a theoretical research framework to understand this relationship supported by literature review from recent studies. A survey was conducted among SMEs in the capital Beirut, where 400 questionnaires were distributed among managers and employees resulting 94 percent usable response rate. The research hypothesis was accepted through analyzing the data by SPSS and SEM. The main findings indicate that good governance practices have a positive and significant influence on public trust in Lebanon (p<0.001). Future studies are recommended to extend the empirical research in terms of good governance practices and more specifically at the level of sample and geographical distribution.

Effect of Gravitational Waves on Hydrogen in near-by  Universe

This paper attempts to explain the postulate that 80% of light is unaccounted for in the current universe. [1] It tends to pin the cause of the excess light observed by the Cosmic Origins Spectrograph on Gravitational waves, and how it interacts with the light in the near universe which could further augment the research going in this field and provide an alternate method of detecting these elusive waves that are considered to carry crucial data about the primordial universe and how it came into being.

Nonlinear observers for attitude estimation in gyroless  spacecraft via Extended Kalman filter algor

This paper designs an observer to estimate the spacecraft’s angular velocity using only Euler angles attitude without gyroscope measurement. This work contributes as an alternative or backup system during unavailable gyroscope measurement due to faulty sensor or reduction of sensor hardware for cost reduction.In this work, the observer model for satellite attitude is derived in their nonlinear form, and the observability of the nonlinear system is investigated using Lie derivative. The performance of the designed observer is analyzed and verified using real flight data of Malaysian satellite by employing Extended Kalman Filter algorithm.

The Study of the Application of Data Encryption  Techniques in Cloud Storage to Ensure Stored Data

The Study of the Application of Data Encryption Techniques in Cloud Storage to Ensure Stored Data Integrity and Availability

Economics of different enterprises in identified Farming  System in Chittoor district of Andhra Prad

Farming systems represent integration of farm enterprises such as cropping systems, animal husbandry, fisheries, forestry, etc. for optimal utilization of resources bringing prosperity to the farmer. The present study has been made to identify types of farming system and to assess the potentialities for increasing farm income through reallocation of resources in farming system. The data were collected from 90 respondents pertaining Chittoor district of Andhra Pradesh during 2012-13. The study revealed that maximum return obtained from dairy based farming system.

Bayesian Inference for Mean of the Lognormal  Distribution

Lognormal distribution has wide applications in the analysis of failure time data, stock prices and rainfall. In this paper we derive Bayes estimator and credible regions for the mean of the lognormal distribution. We compare the coverage probability and length of the Bayes credible interval with the confidence interval obtained from the maximum likelihood estimator of the log location and scale parameters. The procedure is illustrated using the failure time data of locomotive control and stock price.

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