Analysis of Different Routing Algorithm for 2D-Torus Topology NoC Architecture under Load Variation

The recital of Network-on-Chip (NoC) depends on the underlying routing techniques. There are a lot of requirements that has to be met. Such performance metrics are minimum latency, least power and maximum throughput. This paper deals with XY route, PROM routing, FTXY routing and DyAD routing on 5x5 2D torus topology. The simulation is performed on nirgam NoC simulator version 2.1 for constant bit rate traffic condition. The simulation results reveals the dominance of XY, PROM, FTXY and DyAD algorithms depicting the minimum values of overall average latency per channel (in clock cycles per flit) as 0.409836 overall average latency per channel (in clock cycles per packet) as 6.2535, average throughput as 16.68, and total network power as 35.6768 mw, achieved for FTXY routing algorithm

Adaptive Noise Cancellation using Delta Controlled Affine Projection Algorithm

This paper presents the Adaptive No ise Cancellation using Delta Controlled Affine Projection Algorithm to adaptive filter the noise using a concept of minimum absolute mean square error. It is very simple with less computational complexity. All the computer simulations are c a dried out in Matlab software. Results are presented graphically to illustrate the improvement of performance. Performance in terms of Signal to noise ratio (SNR) is also presented in tabular form

PERFORMANCE OF PID CONTROLLER OF NONLINEAR SYSTEM USING SWARM INTELLIGENCE TECHNIQUES

In this paper swarm intelligence based PID controller tuning is proposed for a nonlinear ball and hoop system. Particle swarm optimization (PSO), Artificial bee colony (ABC), Bacterial foraging optimization (BFO) is some example of swarm intelligence techniques which are focused for PID controller tuning. These algorithms are also tested on perturbed ball and hoop model. Integral square error (ISE) based performance index is used for finding the best possible value of controller parameters. Matlab software is used for designing the ball and hoop model. It is found that these swarm intelligence techniques have easy implementation & lesser settling & rise time compare to conventional methods

A ROBUST NON-BLIND HYBRID COLOR IMAGE WATERMARKING WITH ARNOLD TRANSFORM

Due to development of the internet technologies and other services, requirement of rightful ownership and copyright is highly required. Hence to protect the copyrighted data from unauthorized user, a robust non-blind hybrid color image watermarking scheme is presented. In this proposed scheme, we use color watermark instead of gray watermark which is generally used in most of the existing digital image watermarking techniques. YCbCr color space used to separate the R, G and B channel of images. Y channel of color watermark is embedded into corresponding Y channel of cover image using proposed scheme. Arnold transform are used to scramble the watermark image before embedding process in order to provide more security. The singular value of bands is going to embed with singular values of watermark by making use of variable scaling factor (a). As original image is required at the time of extraction of watermark hence propose scheme belong to non-blind technique group. The two-fidelity parameter namely Peak signal to noise ratio (PSNR) and structural similarity (SSIM) index are used to measure the imperceptibility whereas similarity between original and extracted watermark is measured by using normalized correlation coefficient (NCC). We also compared the results of proposed scheme with other existing watermarking schemes. The experimental results prove effectiveness of the proposed image watermarking scheme in term of robustness and imperceptibility

Oestrogen receptors and the functionality of the receptor mediated pathway in human breast cancer

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Rainfall-Runoff Modelling using Artificial Neural Network: A Case Study of Banas River Catchment

In the last two decades, Artificial Neural Networks (ANNs) have become one of the most promising tools for modelling complex hydrological processes such as the Rainfall-Runoff interaction. The Artificial Neural Network could be used in cases where the availability of required data is limited. The Rainfall-Runoff model developed in this study was applied to the Banas River catchment of Gujarat, India. The hydrologic data were available for twelve years at CWC, Gandhinagar (such as Meteorological, weather, etc.). The Rainfall-Runoff model was developed by using an ANN technique (Feed-Forward Backpropagation algorithm) and a Multiple Linear Regression (MLR) method. The performance of both models was assessed by correlation coefficient (R), coefficient of determination (R2), and Mean Square Error (MSE). As the ANN gives only a black-box image, the sensitivity analysis was done to find the relative importance of input parameters. For the ANN models, the evaluation shows correlation coefficient (R) was obtained as 0.9318 whereas an MLR model, the correlation coefficient (R) was obtained as 0.8831. The RMSE values for the ANN and MLR models were 0.023535 and 0.15073 respectively. The results and analysis indicate that the ANN model provides better outcomes for datasets scaled between zero and one based on this study. In the comparison of both ANN and MLR models, the Artificial Neural Network technique was more suitable than the Multiple Linear Regression method. Hence the present study suggests that ANN models are an essential tool for predicting the hydrological responses in the Banas River Catchment

An Analysis of the Effectiveness of Different Types of Lids in Managing Urban Storm Water

City increase is one such phenomenon that drives deep changes in land use patterns. From a hydrological perspective, urbanization will increase the impervious surfaces, which end result lower of infiltration and boom of runoff. This consequences is a boom in runoff extent and glide that could reason flooding, watercourse and habitat destruction. In recent state of affairs several Indian cities have witnessed remarkable incidences of flooding due to numerous reasons. Defective urban planning and failure of drainage gadget are taken into consideration as principal motives in the back of flooding and surface inundation in urban regions in growing countries. Most important question stand up that how runoff from new tendencies must be controlled? For that the use of SWMM (Storm Water Management Model) for specific Low Impact Development (LID) as gear for lowering runoff as well as discharge in the storm drainage