Tsiimene: Mobile application to improve the knowledge and revitalisation of the Bora language in the context of COVID-19 in Loreto Peru

This work proposes the design and development and validation of the mobile application Tsiimene aimed at preserving and rescuing the Bora language in times of pandemic, which currently faces extinction problems due to the few existing speakers. This work was carried out in the town of San Joaquin de Omaguas, located 64 km from the city of Iquitos. The application of the mobile device was carried out through traditional and experimental methodology in which the application was used. It has been validated that the use of a mobile application is more effective than traditional teaching, mainly in the learning of a native language.

Recognition of violent actions on streets in urban spaces using Machine Learning in the context of the Covid-19 pandemic

Currently, recognition systems based on Artificial Intelligence and Computer Vision have enabled various applications in fields such as Medicine, Industrial Engineering, and in an emerging way in the field of Public Safety as a useful and necessary tool in smart cities that favours the control, management and prevention of criminal acts. Given that violence is a very frequent social problem in Latin American countries. A pilot case has been proposed in the city of Iquitos, Peru, with a tool generated to recognise violent actions from a video or image captured from a mobile phone. This work proposes the application of a mobile tool that facilitates the recognition of high-frequency violent actions on public roads. A bank of 500 images has been generated for each class of violent action prioritised in this work, then a manual labelling tool called "LabelImg" has been used with the extraction of FPS from videos, and the convolutional neural network algorithm YOLO v3 has been used with the Darknet variant. The results of the experiment achieved an accuracy of 94% in the detection of 4 violent actions: punching, kicking, grappling and strangling.

Perception of the quality of virtual educational services during the COVID-19 pandemic at the National University of the Peruvian Amazon (UNAP)

This work consists of a second descriptive study on the implementation of the use of virtual education services at the National University of the Peruvian Amazon (UNAP), in the context of the COVID-19 pandemic. Iquitos, home to UNAP, is a Peruvian city located in the Amazon, with no road connection to the rest of Peru and with a series of limitations in electricity and telecommunications services, which conditions or negatively affects the quality of e-learning services at UNAP. The Peruvian government has suspended face-to-face educational activities since March 2020, motivated by the spread of the COVID-19 pandemic in the main cities of Peru, so digital tools are being used as mechanisms for the continuity of educational services. For this descriptive research, the survey method was used. The surveys have been designed based on the usefulness of virtual services using the UNE 66181:2008 Standard, considering indicators such as the levels of Information, Employability, Ease of assimilation and Accessibility. Virtual teaching is carried out at UNAP through the following tools: Zoom, Google Meet, Youtube, Whatsapp, Moodle and others. The results of this second experience, unlike the first study, show that the participating students have improved their perception of the quality of university educational services through virtual media. At the same time, the low quality of connectivity and the low penetration of the use of technologies among teachers are still limiting factors. © 2021 IEEE.

Mobile application for the dissemination, learning and revitalisation of the native Muniche language in the Peruvian Amazon, in the context of Covid-19

The present work comprises the conceptualisation, design, development and validation of the software called 'Jiaminchií', created to support educational processes in times of COVID-19 and the recovery of the Muniche language. The Muniches are an endangered indigenous Peruvian nation located in the province of Alto Amazonas in the Loreto region. The research group proposes as educational tools the use of mobile software applications to continue with the educational service in indigenous communities, which is a complex problem in Peru, considering the limitations and conditions generated by the Covid-19 pandemic. The application has been conceptualised based on the basic contents for learning the Muniche language (review of the dictionary and other documentation), the community of Villa Muniche has been visited and the participation of one of the 3 speakers has been achieved through the generation of a sound bank based on the prioritised contents. The validation included a test group with children from indigenous communities. Two groups were formed, the first used the software and the second received the same contents using the traditional method. Among the most important results, it can be mentioned that the use of the 'Jiaminchií' application in the education of the indigenous communities of Alto Amazonas overcomes a series of limitations typical of schools in the indigenous communities of the Peruvian Amazon. © 2021 IEEE.