By Narendra Patel (auth.), David C. Wyld, Jan Zizka, Dhinaharan Nagamalai (eds.)
The overseas convention sequence on computing device technology, Engineering & purposes (ICCSEA) goals to compile researchers and practitioners from academia and to target figuring out machine technology, engineering and functions and to set up new collaborations in those parts. the second one overseas convention on desktop technology, Engineering & purposes (ICCSEA-2012), held in Delhi, India, in the course of may perhaps 25-27, 2012 attracted many neighborhood and foreign delegates, offering a balanced mix of mind and examine either from the East and from the West. Upon a strenuous peer-review technique the simplest submissions have been chosen resulting in an exhilarating, wealthy and a top quality technical convention software, which featured high-impact displays within the most recent advancements of assorted parts of laptop technological know-how, engineering and purposes research.
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Extra info for Advances in Computer Science, Engineering & Applications: Proceedings of the Second International Conference on Computer Science, Engineering and Applications (ICCSEA 2012), May 25-27, 2012, New Delhi, India, Volume 1
3 DFCW_FH Genetic Algorithm DFCW_LFM ACC_PSO DFCW_FH ACC_PSO DFCW_LFM ACC_PSO Modified DFCW_LFM 5 Conclusions In this paper, we have presented a new numerically optimized method of discrete frequency-coding waveform for orthogonal MIMO radar. This method is applicable to the case where the transmitted waveforms are orthogonal. The proposed method applies the Accelerated particle swarm optimization algorithm can get superior correlation properties to any existing sequences in literature. This approach is an alternative tool for the design of multiple orthogonal discrete frequency coding sequences with good correlation.
8 N. A. Zaveri Where ωn is the weight of the nth FAP, FAPUn is the FAPU to nth FAP and FAPn is the amplitude of FAP. In fact, the term, ωn * FAPUn *FAPn defines the maximum displacement of mth vertices. We have developed scan line algorithm  which establish correspondence between each triangle of neutral model and expression model for each scan line for each pixel to generate expression specific texture. Table 3. Facial expressions and FAPs Expressions Happiness Sadness Disgust Surprise Anger Fear FAPs no Raise corner lip, stretch corner lip, mouth open 59,60,6,7,4,5,51,52 Lower corner lip, lower inner eyebrow, close eyelid 59,60,31,32,19,20 Close eyelid , mouth open , raise corner lip 19,20, 4,5,51,52,59,60 Raise eyebrow , mouth open, open eyelid 31,32,33,34,35,36, 4,5,51,52,19,20 Open eyelid, lower eyebrow, squeeze eyebrow , mouth open 19,20 ,31,32,37,38, 4,5,51,52 eyebrow, mouth open 19,20 ,31,32,33,34,35,36,37,38, 4,5,51,52 5 Expression Mapping Our proposed algorithm determines FAP from the given expressions database.
However, the capability of synthesizing expressive speech including emotional speech is currently not high enough to match the needs. We have to explore features from natural speech to achieve a method for a variety of expressive-speech synthesis. Among expressive speech, we have so far placed a focus on emotional speech. New applications such as speech-to-speech translation, dialogue or multimodal systems demand for attitude and emotion modeling. Humans would choose different ways to pronounce the same sentence depending on their intention, emotional state, etc.
Advances in Computer Science, Engineering & Applications: Proceedings of the Second International Conference on Computer Science, Engineering and Applications (ICCSEA 2012), May 25-27, 2012, New Delhi, India, Volume 1 by Narendra Patel (auth.), David C. Wyld, Jan Zizka, Dhinaharan Nagamalai (eds.)