In the paper, we design and develop a speech driven face animation system based on the dynamic mapping method. The face animation is synthesized by the unit concatenating, and synchronous with the real speech. The units are selected according to the cost functions which correspond to voice spectrum distance between training and target units. Visual distance between two adjacent training units i...

today, extensive improvements in fields of soil mapping have increased the purity and accuracy ofsoil maps. usual mapping methods moreover depend on skills and experience of surveyor inidentifying and delineating the boundaries, also need the high cost and time consuming that face thesoil mapping with restrictions. in this study, aerial photographs with 1/40000 scale were used in orderto prepar...

A method of deriving vegetation mapping units from quantitative data is described based on results from an ecological survey of Tongariro National Park. A particular aim was to develop a repeatable procedure. The method of classifying the samples uses a polythetic agglomerative technique in which the sorting strategy has as a priority the combining of similar entities that are closest together ...

The paper proposes a new continuous flow parallel Fast Fourier Transform (FFT)processor using a novel address mapping scheduling strategy and two costefficient non-conflict address mapping approaches. Four parallel butterfly computation units enhance the high throughput. The novel address mapping scheduling strategy uses only two memory units for a continuous flow parallel FFT implementation, w...

We consider extra dimensional field theory descriptions of backgrounds with N different throats where one of the extra dimensions in each throat is much larger than the others. Such backgrounds can be described by field theory on N 5D warped spaces which intersect on a ultraviolet (UV) brane. Given a field that propagates in all N throats there are N boundary conditions on the UV brane (which a...

This paper proposes a novel optimization which named as Swarm based Mean-variance mapping optimization (MVMOS) for solving the economic dispatch. The proposed optimization algorithm is the extension of the original single particle mean-variance mapping optimization (MVMO). The novel feature is the special mapping function applied for the mutation base on the mean and variance of n-best populati...

We are concerned with the practical feasibility of the neural basis of analogical mapping. All existing connectionist models of analogical mapping rely to some degree on localist representation (each concept or relation is represented by a dedicated unit/neuron). These localist solutions are implausible because they need too many units for human-level competence or require the dynamic re-wiring...