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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This quantity comprises contributions to the 1st Kazakh-German complicated study Workshop on Computational technological know-how and excessive functionality Computing offered in September 2005 at Almaty, Kazakhstan. The workshop was once geared up by way of the excessive functionality Computing middle Stuttgart (Stuttgart, Germany), al-Farabi Kazakh nationwide collage (Almaty, Kazakhstan) and the Institute of Computational applied sciences SB RAS (Novosibirsk, Russia) within the framework of actions of the German-Russian heart for Computational applied sciences and excessive functionality Computing.
This e-book is a suite of conscientiously reviewed papers provided in the course of the HP-SEE person discussion board, the assembly of the High-Performance Computing Infrastructure for South East Europe’s (HP-SEE) study groups, held in October 17-19, 2012, in Belgrade, Serbia. HP-SEE goals at assisting and integrating nearby HPC infrastructures; imposing strategies for HPC within the sector; and making HPC assets on hand to investigate groups in SEE, sector, that are operating in a few medical fields with particular wishes for hugely parallel execution on robust computing assets.
L. a. rivoluzione digitale distrugge più posti di lavoro di quanti ne crei. Ci rallegriamo di scoprire che sul internet tutto è «gratis» e «open», o sta in line with diventarlo, ma nel frattempo l’economia dell’informazione concentra sempre più potere e ricchezza nelle mani di pochi. Mentre celebriamo le virtù democratiche di net, consegniamo il futuro ai colossi che controllano i server centrali e traggono immensi profitti dai dati che ricavano osservando le nostre vite.
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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 . 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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