Study of mental states in online classes caused by COVID-19, using brain-computer Interface

The pandemic caused by COVID-19, has achieved the confinement of people around the world, changing many habits and customs. Education is one of the areas where this aspect has caused many changes in the way of studying, mainly in the physical place where the classes are received, in the educational process they went from studying in a classroom to a room in the house And in many cases in the classroom, this new way of studying is causing changes in many aspects, one of the most important and which is the object of this study are changes in the levels of attention provided by students, because they are being affected by agents. distractors such as television, family members among others. The present work focuses on being able to analyze how the concentration and meditation levels are presenting at the time they do their classes, these measurements are made through a brain-computer interface, where the brain signals are recorded and presents concentration and meditation in a range of 0 to 100%, the results show that the children present a low level of concentration at the beginning and at the end of the class sessions, the maximum attention values are presented between 10 to 15 minutes of classes with values above 80%.Campus At

Methodology for edge detection in high resolution optical satellite image

Optical satellite images are an important and indispensable tool in the analysis of large areas of land, for this reason many applications arise, among them the subject of the detection of objects present in the images, in order to carry out this task, high resolution images are used. , one of the advantages of these images is the level of detail that can be observed, but they have a disadvantage, which is the coverage, which allows the registration of a limited area, as well as the opportunity for the registration of the image by the satellite depends on the orbit, the time and the weather, all these factors cause that the registration of a specific area is of vital importance, in the present work focuses on presenting a methodology for the detection of edges in high resolution satellite images where evidence of the presence of ships that are present in the image, the technique consists of applying the sobel matrices in their different configurations actions, these found edges can serve as input into pattern recognition systems, as a feature or input to a neural network.Campus At