The INACITY platform (an acronym for INvestigate and Analyse a City) empowers users allowing them to select a region over a map and see urban features inside that region that have relevance to the urban architecture context, for instance trees. The implementation is extensible and is designed to make it easy to add or replace new modules, such as new maps, different GISes, and Computer Vision filters. The companion tool Street-Level Image Labeler (SLIL) aids in the labeling process of the images collected with INACITY.
The HealthDashboard project, based on advanced Computer Science technologies (Big Data, Data Visualization, and Data Science), is an innovative visualization and decision-making support tool for health professionals and public managers. It is an interactive visual dashboard for large-scale data analysis based on the Brazilian National Health System (SUS) hospitalization data. Its software architecture enables integration with the Hospital Information System (SIH-SUS) datasets from any region of Brazil so that health professionals can use it in hundreds of different cities.
Buzu (2019) at first edition of “Sons de Silício” (photo by Subtil Jéssica)
This project, a partnership of the InterSCity project and the NuSom GPI (Interactive Practices Group of NuSom), aims at providing aesthetic auralizations of urban-related data. It was featured in the Buzu sound installation during the first edition of the sound art occupation and experimental lutherie “Sons de Silício” (Silicon Sounds) realized at EdA (Space of Arts) at Usp (University of Sao Paulo) in April,
CulturaEduca is a social network that aggregates both official and user-supplied geolocated data on educational infrastructure and related resources, such as theatres, libraries, cultural initiatives etc.
The collection, processing, and analysis of data generated by varied sources can help us better understand the functioning and demands of the cities. However, developing efficient solutions to explore urban data is challenging due to the large volume, heterogeneity, and lack of accessibility and integration of this kind of data. This happens because many systems are built in silos: they are closed and developed for specific needs. Despite several works that have already presented approaches for the different stages of data integration (such as ingesting,
PCNSim is an open-source, modular, and lightweight payment channel network simulator that uses the OMNET++ framework. PCNsim is designed to support multiple routing algorithms, topologies, and transactions workloads to meet the requirements of PCN researchers. It presents a unique simulator that accuratly mimics the behavior of the Lightning Network, such as message formats and message exchange.
STEER is a prototype for an IDN-based IoT programming platform. Its main characteristic is the self-adaptation of the network behavior according to high-level goals (intents) provided by network applications. By combining SDN (Software-Defined Networks) and IDN (Intent-Driven Networks), the idea is to self-adapt the network at runtime without predefined rules, considering only the network operational context and the high level goals defined by the applications. To achieve this, SDN is used as the network adaptation mechanism,