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The problem of tagging in natural language processing is to find a way to tag every word in a text as a particular part of speech, e.g., proper pronoun. POS tagging is a very important preprocessing task for language processing activities. This paper reports about the Part of Speech (POS) taggers proposed for various Indian Languages like Hindi, Punjabi,(More)
This paper addresses the area of image compression as it is applicable to various fields of image processing. On the basis of evaluating and analyzing the current image compression techniques this paper presents the Principal Component Analysis approach applied to image compression. PCA approach is implemented in two ways – PCA Statistical Approach & PCA(More)
This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms. For reasons of space and consistency, we concentrate on the validation of algorithms processing color fundus camera images, currently the largest section of the ARIA literature. We sketch the context (imaging instruments and target tasks) of ARIA validation,(More)
This paper presents a concept of solving the back-up node failure problem of the RDEEP (Reliable Distributed Energy Efficient Protocol). This technique will also help to make the wireless sensor network more energy efficient. The energy efficiency is one of the most important factors in case of wireless sensor networks. In this era of green computing,(More)
The Distributed denial of service attacks (DDoS) have become more and more frequent and caused some fatal problems in the recent time. Internet users experience denial-of-service (DoS) attacks every day. Our inboxes are swamped with spam containing subject lines that sometimes fool us; our search-engine queries return many irrelevant results; and online(More)
A mobile ad hoc network is a collection of wireless mobile nodes that communicate with each other without centralized control or established infrastructure. The mobility model should represent the realistic behavior of each mobile node in the ad hoc network as routing protocols performances vary widely across the different mobility models. Since not many(More)
Data compression is the most important step in many signal processing and pattern recognition applications. We come across very high dimensional data in such applications. Before processing of large-dimensional datasets, we need to reduce the dimensions to have lesser storage space and reduced computational complexities while retaining the maximum(More)