By Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu Chaki

The publication comprises the prolonged model of the works which have been offered and mentioned within the moment overseas Doctoral Symposium on utilized Computation and protection structures (ACSS 2015) held in the course of may perhaps 23-25, 2015 in Kolkata, India. The symposium has been together prepared via the AGH collage of technology & expertise, Cracow, Poland; Ca’ Foscari college, Venice, Italy and collage of Calcutta, India. The booklet is split into volumes and offers dissertation works within the components of snapshot Processing, Biometrics-based Authentication, delicate Computing, facts Mining, subsequent iteration Networking and community safety, distant Healthcare, Communications, Embedded platforms, software program Engineering and repair Engineering.

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Int. J. Recent Trends Eng. 2(2) (2009) 14. : Enhanced speech recognition using ADAG SVM approach. Int. J. Emerg. Trends Technol. Comput. Sci. (IJETTCS) 1(4) (2012) 15. : Development of indian language speech databases for large vocabulary speech recognition systems. In: Proceedings of International Conference on Speech and Computer (SPECOM). Patras (2005) 16. : A large vocabulary continuous speech recognition system for Hindi. In: Proceedings of the National conference on Communications, pp. 366–370.

Design and Development of Marathi … 19 The MSAC system is tested on the basis of individual feature extraction techniques, fusion approach of MFCC and proposed WDCC approach. From the analysis, we observed the following: • Efficient accuracy is achieved with MFCC for 39 coefficients but RTF is bit increased than MFCC with 13 coefficients. MFCC 13 coefficient proved to be effective in term of accuracy and RTF. • MFLDWT is proven a higher accuracy than other fused techniques with acceptable RTF. • WDCC with 54 coefficients gives the high accuracy but the real time factor is slightly greater than other 18 and 36 coefficients.

Initially image dilation is performed using default 3 × 3 kernel [18]. Then, the images are interpolated using different mechanism namely nearest neighbor, bilinear, pixel area resampling method, bicubic interpolation. Normally nearest neighbor interpolation takes the closest pixel value for resizing calculation. The 2 × 2 surroundings are taken for bilinear operation. The virtual overlapping between the resized image and original image is performed and then the average of the covered pixel values is computed in case of pixel area re-sampling method.

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