There are some ∼1,100 known antimicrobial peptides (AMPs), which permeabilize microbial membranes but have diverse sequences. Here, we develop a support vector machine (SVM)-based classifier to investigate ⍺-helical AMPs and the interrelated nature of their functional commonality and sequence homology. SVM is used to search the undiscovered peptide sequence space and identify Pareto-optimal can...

Each of these problems used a 2-D steering filter. Fomel (1999) introduced a method to construct a 3-D steering filter. Fomel formed a 3-D steering filter operator by first convolving two 2-D operators. To obtain a minimum-phase filter he performed spectral factorization for each dip component (px , py) pair in the data, significantly increasing the cost of constructing the operator. In order f...

The minimum backward Fréchet distance (MBFD) problem is a natural optimization problem for the weak Fréchet distance, a variant of the well-known Fréchet distance. In this problem, a threshold ε and two polygonal curves, T1 and T2, are given. The objective is to find a pair of walks on T1 and T2, which minimizes the union of the portions of backward movements while the distance between the movi...

A Wireless Object Sorting Robot Arm System (WOSRAS) is the combination of Machine Vision System (MVS), Wireless Embedded System (WES) and Robot Arm System (RAS). MVS is the essential fragment of the object sorting robot arm system which constitutes of an image sensor and LabVIEW installed personal computer system to classify the object from an image. NI vision acquisition express of LabVIEW acq...

We study the use of mathematical morphology for handprinted character recognition. Our approach uses the morphological skeleton transform as the shape descriptor. An efficient skeletonmatching algorithm, which renders the similarity between two skeletons as a distance measure, is employed. Based on this distance measure, a character is classified by a minimum distance classifier. The morphologi...

In this paper a further generalization of differential evolution based data classification method is proposed, demonstrated and initially evaluated. The differential evolution classifier is a nearest prototype vector based classifier that applies a global optimization algorithm, differential evolution, for determining the optimal values for all free parameters of the classifier model during the...