In the previous work by Jacobs, Sokolova and the author, synchronous parallel composition of coalgebras—yielding a coalgebra—and parallel composition of behaviors—yielding a behavior, where behaviors are identified with states of the final coalgebra—were observed to form an instance of the microcosm principle. The microcosm principle, a term by Baez and Dolan, refers to the general phenomenon o...

ICA deals with finding linear projections in the input space along which the data shows most independence. Therefore, mutual information between the projected outputs, which are usually called the separated outputs due to links with blind source separation (BSS), is considered to be a natural criterion for ICA. Minimization of the mutual information requires primarily the estimation of this qua...

A bioinformatics method was used to analyze F/10 and G/11 xylanase basing on principle component analysis, and a model was made to classify between these two folds with an ideal result. The principle components were predicated to be secondary structures, the components were analyzed with the architecture of each family, and found comparable with (beta/alpha)(8)-barrel of F/10 xylanase and right...

Time-lapse photography, in which images are captured at a lower rate than that at which they will ultimately be played back. Classic time-lapse photography subjects are scenes. Today, most of those image sequences are collected by the thousands of Internet cameras. They typically provide outdoor views of cities, construction sites, traffic, the weather, or natural phenomena. However, Time-lapse...

this paper presents a mathematical model for the vibration analysis of a three-component piezoelectric force sensor. the cubic theory of weakly nonlinear electroelasticity is applied to the model for describing the electromechanical coupling effect in the piezoelectric sensing elements which operate in thickness-shear and thickness-stretch vibration modes. hamilton's principle is used to d...

In face recognition feature extraction and classification are the two aspects to be focused. In principle component analysis (PCA) based face recognition technique, the 2D face image matrices must be previously transformed in to one dimensional image vectors. In this paper two dimensional principle component analysis(2DPCA) is used to extract the features. Comparing to conventional principle co...