A Decision based scheme using a improved mesh based snake like sorting is proposed for the restoration of gray scale images that are heavily corrupted by salt and pepper noise. The proposed algorithm uses modified mean or median for image restoration. The processed pixel is examined for 0 or 255; if checked pixel is equal to 0 or 255, then it is considered as noisy pixel else not noisy. The noisy pixel is replaced by median of unsymmetrical trimmed output, if the current window has at least three noisy pixels or mean of first and last values of the un-symmetrical trimmed output. The uncorrupted pixel is left unchanged. The proposed algorithm shows excellent noise suppression capability with good edge preservation in heavy noisy conditions both qualitative and quantitatively. The proposed algorithm was applied on various grayscale images and found to have excellent PSNR and high IEF , low MSE and consumes less time even at very high noise densities with edge preservation.

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CAB coronary artery Blockage is a main difficulty; this causes the heart problems. Different models are utilized to diagnosis the CAB as well as a category of heart problems. This work involves the heart surgery operations & very fast diagnosis. This research just requires the heart images i.e., CT-angiography images. Speed and real diagnosis are possible with technical Image processing (TIP) with the use of ML (Machine Learning) algorithm. With the help of RFO-DT (random forest optimization decision Trees) based, TIP and ML are used to detect the ROH (region of a Heart problem). Entire work consists of 2 stages; at first pre-processing is performed and the second stage DT is extracted, probability values are calculated performed the RFO-DT-ML model. Coronary artery is the main tissue in the heart, so it needs more concentration; normal scanning procedures are not sufficient, so CTA is necessary. In this, data sets are collated from the IEEE data house website. Conventional methods like GA, DE, and GWO are not efficient for heart functionality assessment for coronary artery disorders findings. If a patient with heart diseases have a problem for fast disease findings. So Fast and accurate disease finding models are required; therefore, this model i.e., RFO with AI, gives the best diagnosis results with accuracy.   Finally, the design has been done and progressed by 4.766% OV, OF by using 6.5%, OT by 2.5%. These are efficient results.

Increase in population results in increase in usage of materials which cause much pollution to environmental surroundings if not disposed properly. Replacement of costlier building material by disposable waste material is one of best engineering practice in construction. In this paper replacement of cement using silica fume is done up to 20% and replacement of fine aggregate using glass powder is done up to 40% also silica fume  and glass powder are replaced by 15% and 20%.compressive strength for replaced materials and conventional concrete is studied for 7thday and 28th day. From test result it is concluded that glass powder and silica fume is better effective replaceable materials which is cost effective and eco-friendly.

The bioinformatics research community has a demand of enormous compute resources to run bioinformatics tools. Next generation sequencing technologies have further increased the overall demand for computational analysis. The traditional Cluster and Grid computing are having their own complexities to program and use while there is a silver-line in cloud for on-demand high-performance infrastructures with the advent of cloud computing era and its advantages. We have adopted the technology so that it canprove its mandate with more benefits to the community. We are able to bring out a private cloud using BRAF which is a high end cluster facility dedicated for bioinformatics. Open source equivalents to prominent commercially available solutions are used as the cloud middle-ware stack. In this paper we will summarize our implementation of a virtualized private cloud environment using Eucalyptus.