Data Processing and Analysis to Improve the Management of Broadcasting Grants in Brazil

Authors

DOI:

https://doi.org/10.14209/jcis.2024.22

Keywords:

Broadcasting, Data Processing, Grants

Abstract

The Brazilian Ministry of Communications (MCom) currently utilizes the Mosaico platform for managing broadcasting grants. However, this platform primarily focuses on channel data, which does not align directly with the requirements of grant management. Consequently, there arises an imperative need for the development of a dedicated grants management system (GMS). To address this need effectively, it is crucial to undertake a thorough sanitation process for channel data. The objective is to identify errors and inconsistencies within the records and to adapt this data to a structure tailored to broadcasting grants. In this context, this paper presents the results of data processing derived from a python module named Mosaico Database Analysis (MDbA). The MDbA serves the purpose of automating the detection of errors and inconsistencies within the Mosaico channel database. It achieves this by applying predefined processing rules, which were defined in conjunction with a MCom team. Additionally, the module facilitates the creation of a new data structure specifically designed for grants, referred to as the grant data structure (GDS). As a result of the analysis conducted by MDbA, approximately 46941 inconsistencies of various types were identified within the Mosaico data. Moreover, leveraging a novel methodology for aggregating channel data in grants, approximately 23257 GDSs were established.

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Author Biographies

Higo Thaian Pereira da Silva, Instituto Federal da Paraíba, João Pessoa

Higo T. P. Silva was born in Nova Floresta, Paraíba, Brazil, in 1993. He received the B.Sc. degree in electrical engineering in 2016 at the Federal University of Paraíba. At the Federal University of Campina Grande, he received his M.Sc. and D.Sc. degrees in electrical engineering in 2018 and 2023, respectively. His research interests include signal processing and the channel modeling of wireless
Communication.

Pedro Henrique Dornelas Almeida, University of Brasília, Department of Electrical Engineering

Pedro H. D. Almeida, received his B.Sc. degree in Communication Network Engineering from University of Brasília, Brazil, in 2023. He is currently M.Sc student at the same university. His main research interests include digital signal processing and mobile networks.

José Alberto Sousa Torres, University of Brasília, LATITUDE Laboratory

José Alberto Sousa Torres was born in Salvador, Bahia, Brazil, in 1982. He received his Bachelor's degree in IT Systems Analysis in 2005 from the State University of Bahia. At the University of Salvador, he obtained his M.Sc. in Systems and Computing in 2012. He is currently a doctoral student in Electrical Engineering at the University of Brasília. His research interests include signal processing, data science, and theoretical and practical applications of machine learning.

Uanderson Aguiar da Ponte Frota, University of Brasília, LATITUDE Laboratory

Uanderson A.P. Frota was born in Sobradinho, Brasília, Brazil, in 1982. He graduated in Data Processing in 2007 from the Institute of Exact Sciences (ICEX). In 2011, he obtained a specialization in Software Engineering, followed by a specialization in Project Management in 2015. His research interests include agile methodologies, software design, implementation and evolution, as well as effective methodologies for the development of digital products.

Pedro Duarte Alvim, University of Brasília, Department of Electrical Engineering

Pedro D. Alvim was born in Brasília, DF, Brazil, in 2000. He received the B. Sc. degree in Communication Network Engineering in 2023 at the University of Brasília. He is studying for his M. Sc. degree in Eletrical Engineering with his research interests including channel modeling of wireless communication systems and machine learning.

Daniel Pereira Gonçalves, University of Brasília, LATITUDE Laboratory

Daniel P. Gonçalves was born in Brasília, Brazil, in 1997. He received the B.Sc. degree in network engineering in 2020 at the Federal University of Brasília. His research interests include Big Data solutions and machine learning applied to wireless communication.

Hugerles S. Silva, University of Brasília, Department of Electrical Engineering

Hugerles S. Silva received his B.Sc., M.Sc. and Ph.D. degrees in Electrical Engineering from University Federal of Campina Grande, Brazil, in 2014, 2016 and 2019, respectively. He is currently an adjunct professor at the University of Brasília. His main research interests include wireless communication, digital signal processing and wireless channel modeling.

Ugo Silva Dias, University of Brasília, Department of Electrical Engineering

Ugo Silva Dias was born in Belém, Pará, Brazil, in 1981. He received the B.Sc. degree in Electrical Engineering from The Federal University of Pará, Brazil, in 2004, and the M.Sc. and Ph.D. degrees in Electrical Engineering, from The State University of Campinas, Brazil, in 2006 and 2010, respectively. Since March 2010, Dr. Ugo Dias is Professor at University of Brasilia (UnB), Brazil. He is a faculty member of the Department of Electrical Engineering. Prof. Dias has been involved on the Organizing Committee of several conferences. He acts as a Scientific Consultant of the National Council of Scientific and Technological Development (CNPq), Brazil, and he is a Productivity Research Fellow of CNPq. Currently, Prof. Dias serves as President of the Brazilian Telecommunications Society (SBrT), chair of the IEEE ComSoc CN Brazil Chapter, and advisor of the IEEE ComSoc UnB Student Branch Chapter. He is a Senior Member of both IEEE and SBrT, and Member of IEEE Communications Society and Brazilian Communications Committee.

Daniel G. Silva, University of Brasília, Department of Electrical Engineering

Daniel G. Silva was born in Botucatu, Brazil, in 1983. He received the B.S. degree in computer engineering and the M.S. and Ph.D. degrees in electrical engineering, all from the University of Campinas (UNICAMP), Sao Paulo, Brazil, in 2006, 2009, and 2013, respectively. Currently, he is a Professor at the Department of Electrical Engineering (ENE) of the University of Brasília (UnB). His main research interests are information theoretic learning and computational intelligence.

Thiago Aguiar Soares, MCOM

Thiago Aguiar Soares has a master's degree in Electrical Engineering – Telecommunications from the University of Brasília (UnB), a postgraduate degree in Telecommunications Regulation from the National Institute of Telecommunications (Inatel) and a degree in Electrical Engineering from UnB. He worked at the National Telecommunications Agency (Anatel) for 12 years, coordinating projects in digital television, digital radio, spectrum management, technical regulation of broadcasting services, implementation of IT systems, among others. Since 2020, he has been General Coordinator of Innovation, Regulation and Systems at the Secretariat of Electronic Social Communication of the Ministry of Communications, being responsible for developing public policies for the broadcasting sector, including technological and regulatory innovation strategies. Thiago also represents the Brazilian government in international forums and is currently President of Study Commission 6 of the Radiocommunications Sector of the International Telecommunications Union (ITU-R), in which issues related to the global harmonization and standardization of technologies for the radiocommunications sector are discussed.

Thiago Rizza Silva, MCOM

Thiago Rizza Silva was born in 1982 in Brasília, Federal District, Brazil. He graduated as a Telecommunications Technician from the Technical School of Brasília in 2005. With a 16-year career at the Ministry of Communications (MCom), he is a specialist in broadcasting data, systems and documentation.

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Published

2024-12-13

How to Cite

Thaian Pereira da Silva, H., Henrique Dornelas Almeida, P., Alberto Sousa Torres, J., Aguiar da Ponte Frota, U., Duarte Alvim, P., Pereira Gonçalves, D., … Rizza Silva, T. (2024). Data Processing and Analysis to Improve the Management of Broadcasting Grants in Brazil. Journal of Communication and Information Systems, 39(1), 205–218. https://doi.org/10.14209/jcis.2024.22

Issue

Vol. 39 No. 1 (2024): Vol. 39 No. 1 (2024)

Section

Regular Papers

License

Copyright (c) 2024 Higo Thaian Pereira da Silva, Pedro Henrique Dornelas Almeida, José Alberto Sousa Torres, Uanderson Aguiar da Ponte Frota, Pedro Duarte Alvim, Daniel Pereira Gonçalves, Hugerles S. Silva, Ugo Silva Dias, Daniel G. Silva, Thiago Aguiar Soares, Thiago Rizza Silva (Author)

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Received 2024-06-04
Accepted 2024-12-01
Published 2024-12-13