Universidad Tecnológica de Bolívar

About: Universidad Tecnológica de Bolívar is a education organization based out in Cartagena, Colombia. It is known for research contribution in the topics: AC power & Computer science. The organization has 507 authors who have published 724 publications receiving 3900 citations. The organization is also known as: UTB & Utb.

Spatio-Temporal Filtering for Evoked Potentials Detection

Abstract: We propose the new application of the spatio-temporal filtering (STF) method, which is a detection of visual evoked potentials applied to brain-computer interfaces (BCI). STF aims in creating a new, enhanced channel basing on the current and the neighbouring samples from all the input channels . The new channel of the better quality facilitates quick detection of visual evoked potential in the EEG recording by reducing number of averaging operations. The BCI experiments include precise information on the times the specific events took place. This feature allowed us to design very accurately the learning step which is based on generalized eigendecomposition and aims in determining the spatio-temporal filter weights. STF based algorithm allows to achieve good results for enhancement and detection of visual evoked potentials applied for brain-computer interfaces. Advantageous classification accuracies obtained with the use of combined spatial and temporal approach suggest the method can contribute to improvement of the existing solutions and stimulate development of more accurate and faster EEG based interfaces between machines and humans.

From a Home-Area-Network to a Secure Internet of Things Application

Abstract: In this paper, we present a secure system to control devices at home through the web, which we implement based on the Do It Yourself (DIY) culture. We use a model based on the Goal Question Metric approach to evaluate the quality of our system. Given that we are now in the era of the Internet of Things (IoT), security must be at the same level or even in a higher priority than other aspects such as speed, size, and power consumption. The objective of this work is to verify that acceptable levels of confidentiality, integrity, availability, access control, authentication and non-repudiation can be guaranteed in open platforms such as Arduino, Galileo, Energia, Tiva C, among others. Taking into account these platforms, we developed a system with access control that implements motion detection, light control, and generates a power consumption record. The results show a comparison between our security implementation and other authors’ implementation.

Instrumented Insole for Plantar Pressure Measurement in Sports

Abstract: Novel technological aids have been developed to evaluate sport performance. Among these tools there are wearable sensors that monitor physical and physiological variables during the execution of exercises. This paper describes the design and construction of an instrumented insole for acquisition and transmission of plantar pressure. The system was designed to support heavy weights, such as in weightlifting. It uses five high-range force sensors located in relevant anatomical points. It can be worn comfortably by the athlete and plantar pressure can be transmitted wirelessly to be registered and visualized in real-time.

Numerical Simulations of a Polydisperse Sedimentation Model by Using Spectral WENO Method with Adaptive Multiresolution

Abstract: In this work, we apply adaptive multiresolution (Harten’s approach) characteristic-wise fifth-order Weighted Essentially Non-Oscillatory (WENO) for computing the numerical solution of a polydisperse sedimentation model, namely, the Hofler and Schwarzer model. In comparison to other related works, time discretization is carried out with the ten-stage fourth-order strong stability preserving Runge–Kutta method which is more efficient than the widely used optimal third-order TVD Runge–Kutta method. Numerical results with errors, convergence rates and CPU times are included for four and 11 species.