The main objective of this work is to develop an interactive mobile application for monitoring, description and training in the operation of a laser engraving machine using augmented reality technology. The CAD design of the machine is used, generating a visualization of each of the elements that make it up with a description of its main characteristics. Also, an option is included where you can observe the 3D animation of the engraving process. All of the above is generated through the use of open source software (Unity, Vuforia and C #) thus creating a practical option for training in the handling of this type of machinery. This type of technology can be implemented in different educational and industrial environments. For the convenience of use, the generated application has a user-friendly virtual environment and is developed for the main digital platforms (Android, iOS, Windows).

Computer vision is a tool used to understand images that have been analyzed and processed. And in health and human body applications it is no exception, since they help to vectorize the body and its movement, analyzing the changes between them. The main objective of this work is to develop an interactive mobile application for the monitoring, description and recording of body postures in the neck and upper back areas when using cellular devices. The OpenPose algorithm is used to identify and register the specific points of the established zones. In the analysis process, the Keras framework is used in order to build a deep learning convolutional neural network. A graphical user interface is designed in order to facilitate the use and interpretation of measurements. In addition, it is accompanied by an alert system sent when the maximum load angle accepted by the neck in an adult is exceeded (30 ° with respect to the imaginary vertical line on the back). This work contributes to the prevention of future injuries in the cervical areas according to the information provided by specialists in physical rehabilitation.

Currently in the country there are more than 27 thousand cases of annual amputations and more than 80% correspond to lower limbs, therefore, the demand for prosthetic equipment is greater than what the health sector institutions can provide. It should be noted that the equipment developed by these institutions is only passive equipment, so that only 10% of patients who receive a prosthetic equipment successfully complete their rehabilitation. The main problems that the patient faces when adapting to their prosthetic equipment is the response time and alignment vs the healthy limb, since it does not have an intelligent control system that allows them to respond in real time as the losted limb did. This causes gaps when performing your gait cycle, this over time can bring about abnormalities in your posture affecting the alignment of your motor system. This work allows us to analyze the range of motion of the ankles and knees, in addition to determining the angular velocity of both, it is essential information for the development of control systems necessary for active prosthetic equipment. The programming language where it was developed is the Python 3.7 software and additionally reproduce the simulation of the gait cycle.

Scheduling activities in flow shops involves generating a sequence in which the jobs must be processed. To generate the sequence, some criteria are taken into account, such as the completion time of all the jobs, delay time in delivery, idle time, cost of processing the jobs, work in process, among others. In this case, completion time of all jobs and idle time are taken as the objective function. To generate the sequence, a Memetic Algorithm (MA) is used that combines Simulated Annealing (SA) and Genetic Algorithms (GA) to solve the problem. A permutation type decoding was used for the vectors that make up the MA population. The SA was used for the generation of the initial population. Selection, recombination and mutation processes are generated in a similar way to GA. In this case there are 6 parameters to be set; temperature, z parameter, recombination probability, mutation probability, cycles and initial population. To set these parameters, the Response Surface Methodology is used for two objectives. Achieving improvements in the algorithm result of at least 2%. These results help to minimize processing times which impacts with the economics of the enterprise. Using the MA in an interface that helps the user to make a decisión about the Schedule of the Jobs.

Science, technology and innovation are elements to respond to the challenges that must be faced, such as, among others, climate change, renewable energies, the nutrition of humanity, health and the administration of resources. Currently, women have a low percentage of representation in science, technology, engineering and mathematics majors, STEM, for its acronym in English; the gender gap persists in the labor issue, where companies are required to allow women to enter leadership positions. The ONU, to respond to this evident disparity, in 2015 establishes an international day to recognize the important role it has in science and technology, which is proclaimed on February 11 as International Day of Women and Girls in the Science. This research analyzes the perception of women who were trained in STEM careers, with the purpose of knowing their perception in six aspects, namely; Perception of their academic training, ability to learn and solve problems in STEM areas, social, educational or family support, academic training, satisfaction in their work and the work environment, gender stereotypes and the analysis of the skills or competencies required.