Background: Recombinant insulin glargine, a long-acting analogue of insulin, is expressed as proinsulin in host cell and after purification and refolding steps cleaved to active insulin by enzymatic digestion using trypsin and carboxypeptidase B. Since the proinsulin's B and C chains have several internal arginine and lysine residues, a number of impurities are generated following treatment wit...

This paper proposes a rational approximation-based approach to find positive real parameters for the extended Debye model (EDM), aimed at condition assessment of insulation systems power transformers. The EDM can slow and fast polarization phenomenon, including relaxation mechanisms with different times within composite dielectric material. In proposed approach, complex permittivity transformer...

A method is described in this paper for crack propagation prediction using only the initial length of target specimen. The proposed consists two parts, (1) estimation support vector regression (SVR) and (2) a new trans-fitting method. Features based on filtered wave signals were defined model was constructed SVR to estimate length. hyper-parameters selected grid search algorithm. Prediction pre...

Effective representation and recognition of human faces are essential in a number of applications including human-computer interaction (HCI), biometrics or video conferencing. This paper presents initial results obtained for a novel method of 3-D facial expressions representation based on the shape space vector of the statistical shape model. The statistical shape model is constructed based on ...

In this Paper, five recent natural inspired algorithms are proposed to optimize and train Least SquareSupport Vector Machine (LS-SVM). These algorithms are namely, Flower Pollination Algorithm (FPA), Bat algorithm (BA), Modified Cuckoo Search (MCS), Artificial Bee Colony (ABC), and Particle Swarm Optimization (PSO). These algorithms are proposed to automatically select best free parameters comb...

Scientists study trajectory data to understand trends in movement patterns, such as human mobility for traffic analysis and urban planning. In this paper, we introduce a novel trajectory clustering technique whose central idea is to use vector fields to induce a notion of similarity between trajectories, letting the vector fields themselves define and represent each cluster. We present an effic...

In this paper we describe a procedure for generating building models from large scale vector maps and laser altimeter data. First the vector map is analyzed. The result is used to mask the elevation data of single buildings and to derive a coarse 3D-description by prismatic models. Afterwards roofs are reconstructed by fitting planar surfaces to obtain a polyhedral model.