Gomathi Nandagopal
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Gomathi Nandagopal has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- D. Sugumaran
Department of Information Technology, Vel Tech University, Chennai – 600062, Tamil Nadu
1 shared publication Daphne Ronald
Department of Information Technology, Anna University, MIT Campus, Chennai, Tamil Nadu 600044, India
1 shared publication- P. Darwin
Manonmaniam Sundaranar University
1 shared publication - Radha Senthilkumar
Department of Information Technology, Madras Institute of Technology Campus, Anna University, Chennai, India
1 shared publication - Raghavendran Srinivasan
Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India
1 shared publication
Latest Publications
- Open Access
- 26 August 2016
- Published by Indian Society for Education and Environment in Indian Journal of Science and Technology
- Vol. 9 (31)
Cross Layer Architecture for Maintaining QoS in Multimedia Applications
Cross Layer Architecture for Maintaining QoS in Multimedia Applications
- 26 August 2016
- Published by Indian Society for Education and Environment in Indian Journal of Science and Technology
- Vol. 9 (31)
Open AccessCross Layer Architecture for Maintaining QoS in Multimedia Applications
Cross Layer Architecture for Maintaining QoS in Multimedia Applications
- Open Access
- 1 January 2015
- Published by Wiley in The Scientific World Journal
- Vol. 2015 (1) , 864750
QRFXFreeze: Queryable Compressor for RFX
The verbose nature of XML has been mulled over again and again and many compression techniques for XML data have been excogitated over the years. Some of the techniques incorporate support for querying the XML database in its compressed format while others have to be decompressed before they can be queried. XML compression in which querying is directly supported instantaneously with no compromise over time is forced to compromise over space. In this paper, we propose the compressor, QRFXFreeze, which not only reduces the space of storage but also supports efficient querying. The compressor does this without decompressing the compressed XML file. The compressor supports all kinds of XML documents along with insert, update, and delete operations. The forte of QRFXFreeze is that the textual data are semantically compressed and are indexed to reduce the querying time. Experimental results show that the proposed compressor performs much better than other well‐known compressors.
- 1 January 2015
- Published by Wiley in The Scientific World Journal
- Vol. 2015 (1) , 864750
Open AccessQRFXFreeze: Queryable Compressor for RFX
The verbose nature of XML has been mulled over again and again and many compression techniques for XML data have been excogitated over the years. Some of the techniques incorporate support for querying the XML database in its compressed format while others have to be decompressed before they can be queried. XML compression in which querying is directly supported instantaneously with no compromise over time is forced to compromise over space. In this paper, we propose the compressor, QRFXFreeze, which not only reduces the space of storage but also supports efficient querying. The compressor does this without decompressing the compressed XML file. The compressor supports all kinds of XML documents along with insert, update, and delete operations. The forte of QRFXFreeze is that the textual data are semantically compressed and are indexed to reduce the querying time. Experimental results show that the proposed compressor performs much better than other well‐known compressors.