Monografias em Ciência da Computação

2020

ABSTRACTS

Departmento de Informática 
Pontifícia Universidade Católica do Rio de Janeiro - PUC-Rio
Rio de Janeiro - Brazil

This file contains a list of the technical reports of the Departmento de Informática, Pontifícia Universidade Católica do Janeiro - PUC-Rio, Brazil, which are published in our series Monografias em Ciência da Computação (ISSN 0103-9741). The serie scientific editor is Prof. Carlos Lucena and Rosane Castilho is it's technical editor. Please note that the reports not available for download are available in their print format and can be obtained via the e-mail below.
For any questions, requests or suggestions, please contact:
publicar@inf.puc-rio.br

Last update: 13/DECEMBER/2020

INDEX

[MCC01/20]
ALMEIDA, V.P.; CARVALHO, F.O.; ENDLER, M. Sistema de rastreamento de encontros entre pessoas e sintomas para COVID-19. 14 p. Port. E-mail: endler@inf.puc-rio.br

Abstract:  A pandemic is an epidemic of infectious disease that spreads among the population of a large geographic region, for example, a continent, or even the entire planet. One of the biggest problems during a scenario like this is to find an effective method to reduce the spread of the virus. Each virus has its specificities and each geographical subregion has a population with different behavior. Due to the current problem with the rise of the COVID-19 pandemic in Brazil and worldwide, in our work developed at the LAC (Laboratory for Advanced Collaboration) laboratory at PUC-RIO, we developed the COVIDTracker. It is an application that allows to monitor meetings between people and also allows users to report symptoms that they are currently experiencing. This technical report describes the COVIDTracker system, developed using a simulator to generate data about people, their displacements, encounters, and symptoms; and Apache Kafka, used as a communication bus and for processing the event stream generated by the simulator.

[MCC02/20]
SOUZA, B.J.O.; VASCONCELOS, M.P.J.; ENDLER, M. GrADyS: Exploring movement awareness for efficient routing in Ground-and-Air Dynamic Sensor Networks. 22 p. Eng. E-mail: endler@inf.puc-rio.br

Abstract: Several situations exist where a geographic region of some size needs to be scanned or monitored through many sensors. Still, it is either absolutely impossible or prohibitively expensive to deploy and maintain wireless communication infrastructure for the distributed sensors. Either because the region is hidden behind walls, not easily accessible, hard to get through, or infected with some lethal bacteria or virus transmitter. In this case, the best is to scatter (disposable) sensors in the region and let them transmit the collected sensor data by wireless means to an overflying UAV/drone. Which then physically hauls the collected data from the monitored area to a central base station that functions as a gateway to the Internet. The project GrADyS aims to research two sets of problems regarding such data collection. The former aims to coordinate several autonomous UAVs in a distributed manner to collect the generated data while relying only on ad-hoc communication. The latter aims to develop routing protocols to mesh networks Bluetooth Mesh's Low Power Nodes. Both research lines already present preliminary results that are presented in this paper.