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Fault detection in induction motors operated by inverters is an actual industrial need. Most line-fed machines are being replaced by inverter-fed drives, due to their improved speed regulation, and fast dynamic response, despite the insertion of undesired harmonics. Under this particular operating condition, most of the detection techniques so far developed are unable to distinguish induction motor...
In this paper, we propose a locomotion system based on a central pattern generator (CPG) for a hexapod robot, suitable for embedded hardware implementation. The CPG system was built as a network of spiking neurons, which produce rhythmic signals for three different gaits (walk, jogging and run) in the hexapod robot. The spiking neuron model used in this work is a simplified form of the well-known...
In this work, we present the implementation in a reconfigurable architecture of a dense stereo vision algorithm based on census transform. Analyzing census transform algorithm we found that size and access memory could be reduced, which consequently also reduced the latency time. Furthermore, architecture resources are optimized and efficient thanks to binary operations and integer arithmetic used...
This article presents a reconfigurable architecture to calculate a dense disparity map of two stereo images based on census transform. This architecture is simplified and efficient as a result of binary operations and integer arithmetic used by census transform. Our architecture was prototyped using GAUT which is a practical tool to develop high-level synthesis. We take advantage of GAUT rapid prototyping...
In this paper a research in classification of natural images by using Adaboost (adapting boosting) method is presented. This technique is used to identify the nature of the main regions in the image, that is, to identify if they are roads, trees, shades, sky, bushes or others interesting regions; image is previously segmented and each of its regions are represented by a R12 data vector (including...
The radio frequency identification technique has been known since decades ago, however due to some important advances in technology, the amount of micro devices built-in on a chip and the cost of manufacturing, this technology has been implemented in many applications nowadays. A radio frequency identification system used to security check in a University is presented in this work. In this system...
This work presents the design and implementation of vehicular access control using radio frequency identification (RFID). This system controls the accesses of three different parking and also it checks the access of each driver. With this system is possible to monitor, administer and report all the accesses and departs in each parking, this information can be available on a Web site. To this end,...
In this paper, we presented some results of the extended simulations of the images of the real-world applying to the maximum entropy variational analysis algorithm with computational implementation of the recurrent neural networks to the natural resource management. To the try the computational efficient of the new propose, we are applying two metrics to the quantitative evaluation, the improvement...
In this works we present the design and implementation of a self-tuning control using artificial neural networks of second order. The control is implemented as an embedded system through a digital signal process (DSP). This system uses a digital control of closed loop proportional, derivative and integral (PID) self-tuning by artificial neural networks. In this works furthermore is presented a practical...
In this paper, we present the theories aspects of the problem from the reconstruction and enhancing of radar imaging in the natural resource management with detection of specials characteristics. The problem is oriented to the data massive processing involving with recurrent neural networks. The Maximum Entropy Variational Analysis method is implemented into the recurrent neural networks modified...
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