For a class of fuzzy metric spaces (in the sense of George and Veeramani) with an H-type t-norm,  we present a method to construct a metric on a  fuzzy metric space. The induced metric space shares many important properties with the given fuzzy metric space.  Specifically, they generate the same topology, and have the same completeness. Our results can give the constructive proofs to some probl...

This paper presents an enhanced human identification method based on matching both the contours of teeth and the shapes of dental works (DWs) using bitewing radiographs. To reduce teeth matching error due to unsatisfactory alignment of two incomplete tooth contours, we propose an enhanced contour alignment by pruning the outliers from both contours after they are aligned with the original conto...

This paper proposes a re-centering variable friction device (RVFD) for control of civil structures subjected to near-field earthquakes. The proposed hybrid device has two subcomponents. The first subcomponent of this hybrid device consists of shape memory alloy (SMA) wires that exhibit a unique hysteretic behavior and full recovery following post-transformation deformations. The second subcompo...

This paper describes an improved algorithm, motivated by fuzzy logic theory, for the selection of speech segments for concatenative synthesis from a huge database. Triphone HMM clustering is employed as an adaptive measure for articulatory similarity within a given database. Stress level contours are evaluated in the context of their surrounding vocalic peaks. The algorithm uses a beam search t...

The commercial availability of random peptide libraries displayed on the M13 phage is increasing their use forstudies on epitope identification, enzyme inhibitors, receptor ligands, etc. In this study two experimentswhere planned for selection of peptides. First with sheep antibodies, the positive selector was IgG, preparedon Protein G column from a pool of 11 sheeps immunized...

Active contour models have been widely used in image segmentation, and the level set method (LSM) is most popular approach for solving models, via implicitly representing by a function. However, LSM suffers from high computational burden numerical instability, requiring additional regularization terms or re-initialization techniques. In this paper, we use characteristic functions to represent c...

A multi-threshold level set model for image segmentations is presented in the paper. The multi-threshold level set formulation uses a speed function for stopping the locations of the active contours. The speed function with multiple thresholds is designed for detecting boundaries of multiple regions of interest (ROI) in images. These thresholds can be automatically obtained by Fuzzy C-means met...