Smart system model for the recruitment of teachers

Times change, for many reasons, due to technological development, new ways of doing things and in some cases forced by a global condition, is the case of the present case, where we analyze the teacher selection processes, although many of the Academic activities are developed at a distance, the selection processes also accompany this model, in this process factors that must be presented according to the profile required by the institution are analyzed, in this work a technique is proposed to be able to classify the best candidates in a Teacher selection process, the methodology consists of analyzing three groups of characteristics that the candidates must present, such as the writing exercises, the group interview and finally a demonstration class, in each of them particular criteria are evaluated, a demonstrative example It is presented as a demonstration, where it can be conditioned according to the criteria of each ins As a result, we have a computational model based on neural networks, where the best candidates can be pre-selected or classified in a teacher selection process, the prototype can be scaled and used in different sectors.Campus At

Methodology for information security, in the process of sending biomedical signals in telemedicine applications for rural areas

With the advancement of information and communication technologies, new ways of being able to transmit information from remote places where they are technologically inaccessible are being presented, these applications related to the health area, gain importance because in areas with little access to technology and much more to mobile technology, it occurs in most of the countries of South America, where due to the conditions of the Andes mountain range, this work makes it very difficult to implement large-scale solutions. But the need for health care cannot be ignored and much more when the population is at risk. This work proposes a methodology to be able to transmit medical information safely and with integrity, and with it biomedical signals, for solutions where telemedicine is applied, the methodology proposes a communication protocol based on the ordering of information based on a priority structure and XML modeling for sending and receiving, the result presented is an easy to implement and scalable protocol depending on the complexity of the information to send and is not linked to a particular telecommunication network, it can be implemented in telephone networks and wireless networks of different architecture.Campus At

Methodology for the use of machine learning, applied in predicting the level of success in legal cases

ICTs have allowed the applications of artificial intelligence to grow exponentially, where different applications are being presented, based on the application of neural networks as prediction mechanisms for different processes and applications, in the present work the use of the Neural networks for the legal case prediction process, in which the analysis of approximately 200 cases was used between cases that had "positive and negative" final results, the expected results after implementing the solution in the MATLAB tool, they presented us effectiveness results in a value of 93%, as a conclusion we can indicate that the model provided allows us to be applied in other conditions as well as to be scaled, taking into account the historical data that may be available for the training process.Campus At

Method for the registration and analysis of aerial images, applied to the architecture of construction sites, using low-cost devices

FPGA-based hardware architectures are being used more frequently in many applications, thanks to the different programming languages that allow us to access them. The applications are also being varied, one of the most common areas of work with aerial images, normally acquired with cameras that are on board drones, the working mode of these configurations, is focused on being able to use visualize the images online As the flight is carried out, if you want to carry out some type of processing, it is necessary to download the image from the camera's memory, this process is already carried out when the drone has finished the flight. In this work we present a methodology to be able to use the low-cost hardware myRIO, since it has a processor and an FPGA included, we present the steps to be able to work with the device, as well as an example of online processing so that the video and images that the drone camera can process on board and transmitted online, so that images and videos are processed while the drone is in flight, thereby improving the performance of the drone and can be applied In special operations, as a result we present the device configuration and the results of an example.Campus Lima Su