This study explored carryover effects from show-ups to subsequent line-up identifications using a novel paradigm in which participants rendered multiple identification judgements. A total of 160 participants studied a series of faces and subsequently viewed a series of target-absent and target-present show-ups. Following a retention interval, participants then made identification judgements fro...

Identification and prediction problem of nonlinear time-series generated by discrete dynamic system is considered via Kernel Method approach. A unified approach to recurrent kernel identification algorithms design is proposed. In such a way a recurrent modification of initial Kernel Method with growing windows is considered. In order to prevent the model complexity increasing under on-line iden...

A system for writer identification based on handwritten text lines is described in this paper. The system uses Hidden Markov Model based recognizers which are designed for text line recognition. Features are extracted from a text line and used to train the recognizers. Prior to feature extraction, normalization operations are applied to a text line. On the one hand, there exists a strong correl...

This paper presents an example of solving the parameter identification problem in case a robot with two degrees freedom. In this study, weighted recursive least squares algorithm was generalised to nonlinear parameterisation which identified parameters did not satisfy linear model. The generalisation involved linearising model neighbourhood current values estimates. It assumed that estimates we...

In this study, UAVs were used to collect data of distribution line resources, and defects in equipment construction process identified through deep learning. Different algorithms are identify the process. The research will ultimately support regional synchronization online development for intelligent automatic acceptance wire UAV.

A novel vibration-based method (VBM) for damage identification, nodal line active modulation (NLAM), is proposed in this study. Unlike traditional VBMs, the NLAM can identify by taking advantage of effect, which that when a defect located on lines, dynamic responses structure remain nearly unchanged. The basic idea introduced through simply supported beam. In numerical study, we have discussed ...