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Bone marrow stem cells nullify acquired and non-acquired diseases of liver through multiple strategies including antiinflammation. However, little is known about the in vivo mechanism of immunomodulation by stem cells in mediating liver cirrhosis. Mesenchymal stem cells (MSC) or hematopoietic stem cells (HSC) isolated from bone marrow of male mice were(More)
We present the packet wavelet coder implemented with cellular neural network architecture, and show its superiority over the pyramidal wavelet representation. This paper also demonstrates how the cellular neural universal machine (CNNUM) architecture can be extended to image compression. The packet wavelet coder performs the operation of image compression,(More)
Cloud is becoming a dominant computing platform. Naturally, a question that arises is whether we can beat notorious DDoS attacks in a cloud environment. Researchers have demonstrated that the essential issue of DDoS attack and defence is resource competition between defenders and attackers. A cloud usually possesses profound resources, and has full control(More)
We present a novel approach for image segmentation using genetic algorithm (GA) implemented in cellular neural networks (CNNUM). This paper also demonstrates how the cellular neural universal machine architecture can be extended to image segmentation. It uses the highly parallel nature of the CNN structure and its speed outperforms traditional digital(More)
The Peer-to-peer is a decentralized model where each peer has equivalent abilities providing the data (or) services to other peers. Each peer manages its own data. In this paper we present a query routing to provide an effective and efficient querying in Peer-to Peer environment. We describe how the queries need to search the target file in a largest number(More)
We present frequency and spatial adaptive packet wavelet coder implemented with cellular neural network architecture. This paper also demonstrates how the cellular neural universal machine (CNNUM) architecture can be extended to image compression. The packet wavelet coder performs the operation of image compression, aided by CNN architecture. It uses the(More)
There has been increasing interest in pattern classification methods and neuroimaging studies using permutation tests to estimate the statistical significance of a classifier (p-value). Permutation tests usually use the test error as a dataset statistic to estimate the p-value(s)by measuring the dissimilarity between two or more number of populations. Using(More)
This paper investigates the new method of combined image compression from the well known discrete wavelet transform (DWT) and singular value decomposition (SVD). The method makes use of the energy compaction properties of both the transforms. On a sub block of an original image 2D wavelet transform is applied. On the transformed image the singular value(More)
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