Browsing by Author "Raj, B."

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Influence of temperature on MWCNT bundle, SWCNT bundle and copper interconnects for nanoscaled technology nodes
(Springer New York LLC journals@springer-sbm.com, 2015) Sandha, K.; Raj, B.
This paper presents the comparative analysis of temperature dependent performance of Multi-walled carbon nanotubes (MWCNT), Single-walled carbon nanotube (SWCNT) and copper interconnects for nanoscaled technology nodes. The temperature dependent impedance circuit model is proposed for MWCNT bundle interconnects. The proposed model for MWCNT bundle shows the various electron–phonon scattering mechanisms dependency as a function of temperature. The performance in terms of propagation delay, power dissipation and power delay product for MWCNT bundle interconnects is simulated on the basis of temperature dependent electrical parameters for global interconnects at three different technology nodes viz. 32, 22 and 16 nm for temperature range 200 to 450 K. A similar analysis is performed for SWCNT bundle and copper interconnects and results are compared with the MWCNT bundle interconnects. The comparative results revealed that the performance of MWCNT bundle interconnects is better than the performance of SWCNT bundle and copper interconnects at different temperature ranging from 200 to 450 K for 32, 22 and 16 nm technology nodes at global interconnects. © 2015, Springer Science+Business Media New York.
Performance and analysis of temperature dependent multi-walled carbon nanotubes as global interconnects at different technology nodes
(Kluwer Academic Publishers barbara.b.bertram@gsk.com, 2015) Sandha, K.; Raj, B.
A temperature dependent performance in terms of power delay product (PDP) of multi-walled carbon nanotube (MWCNT) bundle interconnect has been analyzed for temperature range from 200 to 450 K at three different technology nodes viz. 32, 22 and 16nm. A similar analysis is performed for copper interconnect and results are compared with MWCNT bundle interconnect. Comparative results revealed that delay and PDP is increased with rise in temperature ranging from 200 to 450 K. It has also been observed that the temperature dependent MWCNT bundle interconnect gives better performance in terms of delay, power and PDP as compared to copper interconnect for three technology nodes at global interconnect length. © 2015, Springer Science+Business Media New York.
Scale independent raga identification using chromagram patterns and swara based features
(2013) Dighe, P.; Agrawal, P.; Karnick, H.; Thota, S.; Raj, B.
In Indian classical music a raga describes the constituent structure of notes in a musical piece. In this work, we investigate the problem of scale independent automatic raga identification by achieving state-of-the-art results using GMM based Hidden Markov Models over a collection of features consisting of chromagram patterns, mel-cepstrum coefficients and timbre features. We also perform the above task using 1) discrete HMMs and 2) classification trees over swara based features created from chromagrams using the concept of vadi of a raga.On a dataset of 4 ragas- darbari, khamaj, malhar and sohini; we have achieved an average accuracy of ? 97%. This is a certain improvement over previous works because they use the knowledge of scale used in the raga performance. We believe that with a more careful selection of features and by fusing results from multiple classifiers we should be able to improve results further. � 2013 IEEE.
Scale independent raga identification using chromagram patterns and swara based features
(2013) Dighe, P.; Agrawal, P.; Karnick, H.; Thota, S.; Raj, B.
In Indian classical music a raga describes the constituent structure of notes in a musical piece. In this work, we investigate the problem of scale independent automatic raga identification by achieving state-of-the-art results using GMM based Hidden Markov Models over a collection of features consisting of chromagram patterns, mel-cepstrum coefficients and timbre features. We also perform the above task using 1) discrete HMMs and 2) classification trees over swara based features created from chromagrams using the concept of vadi of a raga.On a dataset of 4 ragas- darbari, khamaj, malhar and sohini; we have achieved an average accuracy of âˆ¼ 97%. This is a certain improvement over previous works because they use the knowledge of scale used in the raga performance. We believe that with a more careful selection of features and by fusing results from multiple classifiers we should be able to improve results further. Â© 2013 IEEE.