Search

Memristors are devices that promise a great impact on the electronic industry at the level of implementation, comparable to that caused by the invention of the transistor and the integrated circuit, both based on semiconductors. These devices may contribute to the improvement of the performance in both analog and digital circuits, especially in those demanding high consumption of resources due to signal processing. Although implementation approaches based on materials such as titanium dioxide (TiO2), led by HP Labs, are available for these devices, a wide commercial adoption of this technology has not arrived yet. A large set of contributions in the last ten (10) years, including patents and academic papers, are oriented to implementation models based on simulation and emulation at different fields of the electronics industry. Among these contributions, the simulation of biological systems has been extensively studied. This paper presents an overview of the impact of the memristor on the main application scenarios in the electronics industry, from the device implementation approaches to the architectural schemes of hardware systems for specific applications based on the models and features of these devices.

This paper presents a research on the practical and advanced processing, which is supported by the geometric analysis for the features extraction in images of finger vein patterns in order to contribute to a system that minimizes the degree of phishing. This article develops a method of hybrid curves, which are supported on the tangent and secant curves, based on the Hough transform. A standardized system is formulated with a subset of data that are operated and extracted automatically from the vein image for index finger to save the characteristic information in terms of the angle. Proposal has some advantages, over other methods, as a low approach in terms of computational cost and a robust system test with the obtained percentage in the results.