Information system for analysis of large volumes of contaminated areas data

• Grant number: 19/21693-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2020
• End date: February 29, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Pedro Luiz Pizzigatti Corrêa
• Grantee: Rosa Virginia Encinas Quille
• Host Institution: Escola de Artes, Ciências e Humanidades (EACH). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 17/50343-2 - Institutional development plan in the area of digital transformation: advanced manufacturing and smart and sustainable cities (PDIp), AP.PDIP
• Associated scholarship(s): 22/12695-2 - Analysis and management of large volumes of environmental data based on US ARM Data Center experience, BE.EP.DR

Abstract

In this PhD research project proposes the development of high volume data management and system analysis for the management of contaminated areas to digital plan transformations, intelligent cities, and sustainable. Applications of this development involve soil remediation methods, emergency actions, among other types of interventions made by specialists and/or entities working on these concerning areas. The data to be used will vary from georeferenced data from different sources, such as historical data, dynamic data (i.e. optical, digital, laser, and radar airborne sensors) as well as other new studies. The characteristics of these data can be classified by a large amount of information (volume), potentially obtained by sensor technologies, where new elements are inserted in real time (velocity). The nature of the information is also very diverse, from historical data, to physical-chemical analysis of the materials present in the areas investigated (variety). Therefore, this data will be studied and processed by means of Data Science techniques, where a methodology of data analysis in the big data architecture will be proposed considering its applicability in the context of the smart and sustainable cities. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

FILGUEIRAS, LUCIA VILELA LEITE; CORREA, PEDRO LUIZ PIZZIGATTI; ALVES-SOUZA, SOLANGE N.; TEODORO, SIGMAR MONROE; DA SILVA, MARIANA SAVAREZZE PEREIRA; QUILLE, ROSA VIRGINIA ENCINAS; DEMUNER, VANESSA RAFAELA DE SOUZA. Working with robotic process automation: User experience after 18 months of adoption. FRONTIERS IN COMPUTER SCIENCE, v. 4, p. 20-pg., 2022-09-16. (19/21693-0)

QUILLE, ROSA VIRGINIA ENCINAS; BARROS, JOSE MELENDEZ; BARBADO JUNIOR, MARCIO; DE ALMEIDA, FELIPE VALENCIA; PIZZIGATTI CORREA, PEDRO LUIZ. Detecting Favorite Topics in Computing Scientific Literature via Dynamic Topic Modeling. IEEE ACCESS, v. 11, p. 11-pg., 2023-01-01. (19/21693-0)

ENCINAS QUILLE, ROSA VIRGINIA; DE ALMEIDA, FELIPE VALENCIA; BORYCZ, JOSHUA; PIZZIGATTI CORREA, PEDRO LUIZ; FILGUEIRAS, LUCIA VILELA LEITE; MACHICAO, JEANETH; DE ALMEIDA, GUSTAVO MATHEUS; MIDORIKAWA, EDSON TOSHIMI; DE SOUZA DEMUNER, VANESSA RAFAELA; RAMIREZ BEDOYA, JOHN ALEXANDER; et al. Performance Analysis Method for Robotic Process Automation. SUSTAINABILITY, v. 15, n. 4, p. 19-pg., 2023-02-01. (19/21693-0, 20/03514-9)