Y. H. Sharath Kumar

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With the advent of new technologies and advancement in medical science we are trying to process the information artificially as our biological system performs inside our body. Artificial intelligence through a biological word is realized based on mathematical equations and artificial neurons. Our main focus is on the implementation of Neural Network(More)
This paper gives the idea about the introduction of transport applications which are based upon near field communication (NFC). It presents the benefits and needs of NFC in this domain. The main factors leading to success of NFC and the different considerations are also explained in this paper. Public as well as personal transport modes can use NFC for the(More)
In this work, we propose a method for the classification of animal in images. Initially, a graph cut based method is used to perform segmentation in order to eliminate the background from the given image. The segmented animal images are partitioned in to number of blocks and then the color texture moments are extracted from different blocks. Probabilistic(More)
In this paper a novel approach for identification of whorl part of flowers useful for flower classification is presented. The problem is challenging because of the sheer variety of flower classes, intra-class variability, variation within a particular flower, and variability of imaging conditions like lighting, pose, foreshortening etc. A flower image is(More)
Clock Distribution has played a key role in designing the synchronous systems. Even with the systems moving towards Globally Asynchronous and Locally Synchronous (GALS) a need for low power clock distribution network exists as it consumes a major portion of the circuit power. In this paper we demonstrate the effect of various level converters on clock(More)
The Electrocardiogram (ECG) is undoubtedly the most used biological signal in the clinical world and it is a means for detection of several cardiac abnormalities. Pattern recognition, diagnostic classification of ECGs constitutes an interesting application of Artificial Neural Networks (ANNs). This paper illustrates the ability of a feed-forward back(More)
Huge quantities of suspended particles in our atmosphere, cause scenes to appear hazy or foggy, this reduces visibility of objects and their contrast, and makes detection of objects within the scene more difficult. Most existing algorithms are based on a strong, statistically based prior, the dark channel prior. We introduce an improved Dark Channel Prior(More)