R. Thangarajan

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Building a continuous speech recognizer for the Indian language like Tamil is a challenging task due to the unique inherent features of the language like long and short vowels, lack of aspirated stops, aspirated consonants and many instances of allophones. Stress and accent vary in spoken Tamil language from region to region. But in formal read Tamil(More)
We and others show that SOSTDC1 is down-regulated in breast cancer tissues compared to matched normal tissues. Previously, we found that epigenetic mechanisms underlie the down-regulation of SOSTDC1 in gastric cancer cells. The aim of this study was to assess the putative epigenetic regulation of SOSTDC1 expression in breast cancer cells. Microarray-based(More)
Human papillomavirus infection (HPV) and HPV related immune perturbation play important roles in the development of cervical cancer. Since mature dendritic cells (DCs) are potent antigen-presenting cells (APC), they could be primed by HPV antigens against cervical cancers. In this study we were able to generate, maintain and characterize, both(More)
A Wireless Sensor Network (WSN) consists of several sensor nodes that are deployed in a aggressive environment to monitor and record the changes that take place in certain parameters of the environment. Sensor nodes that can communicate with each other over a wireless channel can be captured and compromised by an adversary. After such a compromise an(More)
Environmental robustness is an important area of research in speech recognition. Mismatch between trained speech models and actual speech to be recognized is due to factors like background noise. It can cause severe degradation in the accuracy of recognizers which are based on commonly used features like mel-frequency cepstral coefficient (MFCC) and linear(More)
Parsing is an important process of Natural Language Processing (NLP) and Computational Linguistics which is used to understand the syntax and semantics of a natural language sentences confined to the grammar. Parser is a computational system which processes input sentence according to the productions of the grammar, and builds one or more constituent(More)
Classification plays a vital role in many information management and retrieval tasks. This paper studies classification of text document. Text classification is a supervised technique that uses labeled training data to learn the classification system and then automatically classifies the remaining text using the learned system. In this paper, we propose a(More)
Underwater sensor networks are used to detect the objects and the environmental pattern under the sea water. Some of its limiting features are high latency, low bandwidth, and high energy consumption. Some of the applications of under sensor networks are oceanographic data collection, pollution monitoring and disaster prevention. The issues which have to be(More)