Ivanovitch Silva

Ivanovitch Silva
Universidade Federal do Rio Grande do Norte | IIP · Department of Computer Engineering and Automation

Doctor of Engineering
Professor at UFRN/Brazil CNPq Fellowship PQ-2 Interesting: MLOps, TinyML, Mobility as a Service, Electromobility, IIoT

About

114
Publications
29,292
Reads
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1,249
Citations
Citations since 2016
87 Research Items
1122 Citations
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Introduction
I'm an experimenter by design and "curiousholic" regarding data-driven technologies such as Machine Learning/TinyML/MLOps and Data-Driven approaches. Nowadays, I have been focused on developing projects solving challenges from Sustainable Cities and Industry 4.0 (mobility as a service). In a world, where the abundance of knowledge is not for all, I have been tried to promote the sharing of knowledge about the data ecosystem from diverse public repo in https://github.com/ivanovitchm

Publications

Publications (114)
Article
Full-text available
The school dropout problem has been recurrent in different educational areas, which has reinforced important challenges when pursuing education objectives. In this scenario, technical schools have also suffered from considerable dropout levels, even when considering a still increasing need for professionals in areas associated to computing and engi...
Conference Paper
The Internet of Things (IoT) has reduced the distance between one point and another and between people by connecting multiple devices to the web. However, the volume and speed of data creation and transmission have also increased. In this scenario, some challenges start to emerge, such as potentially irrelevant or redundant data transmission, that...
Article
Full-text available
Vehicles are the major source of air pollution in modern cities, emitting excessive levels of CO2 and other noxious gases. Exploiting the OBD-II interface available on most vehicles, the continuous emission of such pollutants can be indirectly measured over time, although accuracy has been an important design issue when performing this task due the...
Article
Full-text available
Public health interventions to counter the COVID-19 pandemic have accelerated and increased digital adoption and use of the Internet for sourcing health information. Unfortunately, there is evidence to suggest that it has also accelerated and increased the spread of false information relating to COVID-19. The consequences of misinformation, disinfo...
Article
The mapping and analysis of scientific knowledge makes it possible to identify the dynamics and/or growth of a particular field of research or to support strategic decisions related to different research entities, based on bibliometric and/or scientometric indicators. However, with the exponential growth of scientific production, a systematic and d...
Article
Many different application domains are taking advantage from the adoption of the Internet of Things (IoT) paradigm. Among them, intelligent transportation systems can improve efficiency and sustainability by exploiting increased awareness about the actual mobility resource availability. For this reason, the idea of mobility as a service is gaining...
Conference Paper
Full-text available
The mapping and analysis of scientific knowledge makes it possible to identify the dynamics and/or growth of a particular research field or to support strategic decisions related to different research entities, based on bibliometric and/or scientometric indicators. However, with the exponential growth of scientific production, a systematic and data...
Article
Advances in technology allowed the fast and easy creation and configuration of industrial alarms. The growth in the number of alarms, however, brought some problems to the alarm management systems, for example, alarm flooding. In this paper, it is propose a new method to detect the causal relationships between industrial alarm variables using Trans...
Article
Full-text available
For some IoT applications, mobile entities are considered as the main source of sensed data, requiring the attachment of sensor modules on them. The endowing of sensing capabilities to such mobile entities can be performed in different ways, but the adoption of a reference hardware framework can bring a series of advantages, specially in dynamic co...
Article
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The fast transformation of the urban centers, pushed by the impacts of climatic changes and the dramatic events of the COVID-19 Pandemic, will profoundly influence our daily mobility. This resulted scenario is expected to favor adopting cleaner and flexible modal solutions centered on bicycles and scooters, especially as last-mile options. However,...
Article
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Currently, the applications of the Internet of Things (IoT) generate a large amount of sensor data at a very high pace, making it a challenge to collect and store the data. This scenario brings about the need for effective data compression algorithms to make the data manageable among tiny and battery-powered devices and, more importantly, shareable...
Article
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License plates are the primary source of vehicle identification data used in a wide range of applications including law enforcement, electronic tolling, and access control amongst others. License plate detection (LPD) is a critical process in automatic license plate recognition (ALPR) that reduces complexity by delimiting the search space for subse...
Article
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Among the problems resulting from the continuous urbanization process, inefficient urban mobility and high pollution levels have been complex challenges that have demanded a lot of public investments and research efforts. Recently, some alternative transportation means have been leveraged as sustainable options for such challenges, which has brough...
Article
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Social distancing is a powerful non-pharmaceutical intervention used as a way to slow the spread of the SARS-CoV-2 virus around the world since the end of 2019 in China. Taking that into account, this work aimed to identify variations on population mobility in South America during the pandemic (15 February to 27 October 2020). We used a data-driven...
Article
The Industrial Internet of Things (IIoT) has the potential to deeply change the technological landscape in factories, transforming the way automation procedures are performed and relevant objects are identified. For that, however, reliability and performance issues have to be considered when providing the expected communication services. When emplo...
Article
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p>Industry 4.0 is the term used to specify the current industrial revolution, not only from a technological point of view but also from economical, sociological and strategical points of view. The revolution involves several traditional economic sectors, as is the case with the industrial ecosystem. The main benefits are related to creating value d...
Conference Paper
A Internet das Coisas (IoT, do inglês Internet of Things) vem provocando diversas transformações em vários setores industriais, como é o caso do automotivo. A quantidade de sensores e poder computacional que os veículos modernos apresentam cresce significativamente, municiando uma oportunidade de instrumentação, monitoramento e criação de algoritmo...
Conference Paper
O avançado processo de urbanização e desenvolvimento tecnológico possibilita a busca por novas formas de avaliar a qualidade de vida no meio urbano. Pesquisas na área e que utilizam a Uber como fonte de dados apontam que o tempo de espera do serviço pode se relacionar com características socioeconômicas das cidades. A fim de se testar a hipótese de...
Article
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Mercosur (a.k.a. Mercosul) is a trade bloc comprising five South American countries. In 2018, a unified Mercosur license plate model was rolled out. Access to large volumes of ground truth Mercosur license plates with sufficient presentation variety is a significant challenge for training supervised models for license plate detection (LPD) in autom...
Article
Full-text available
A baixa visão é uma condição caracterizada pelo comprometimento visual mesmo após tratamento ou correção médica, gerando diversos impactos na vida dos indivíduos. Diante disso, a utilização de dispositivos auxiliares é fundamental para mitigar os efeitos da perda visual. Entre os diversos auxílios ópticos disponíveis atualmente, a maior parte ainda...
Technical Report
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A pandemia provocada pela COVID-19 é caracterizada pela incerteza em múltiplas dimensões, como a forma de transmissão e aspectos relacionados às medidas de mitigação não farmacêuticas, como a prática do distanciamento social. A redução das interações sociais por meio do fechamento de estabelecimentos como escolas e setores econômicos representa um...
Article
Full-text available
COVID-2019 has been recognized as a global threat, and several studies are being conducted in order to contribute to the fight and prevention of this pandemic. This work presents a scholarly production dataset focused on COVID-19, providing an overview of scientific research activities, making it possible to identify countries, scientists and resea...
Data
The dataset is composed of rumors and non-rumors related to COVID-19 collected from three different online sources: (a) the Brazilian Ministry of Health official website, (b) a journalistic initiative named boatos.org focused on debunking online rumors, including COVID-19, and (c) the O Globo news that provides a special track to follow rumors abou...
Article
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This technical report presents information related to the Social Isolation Index (SII) of the city of Caruaru, Pernambuco, Brazil. The data was provided by In Loco, a technology startup that has collected the movement of around 60 million Brazilians through cell phone location.
Preprint
Full-text available
In a scenario where there is no vaccine for COVID-19, non-pharmaceutical interventions are necessary to contain the spread of the virus and the collapse of the health system in the affected regions. One of these measures is social distancing, which aims to reduce interactions in the community by closing public and private establishments that involv...
Article
Full-text available
Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number of variables. This dataset comprises (i) sociodemographic characteristics, compiled from 35 datasets obtained at UN Data; (ii) mobility metrics that can assist the analysis of social distancing, from Google Community Mobility Reports and; (iii) dail...
Technical Report
O objetivo principal desta nota é apresentar as tendências de isolamento social para o estado de Pernambuco e para a Região Metropolitana do Recife (RMR). Em 12 de março foram registrados os dois primeiros casos do novo coronavírus em Pernambuco. Conforme é possível verificar pela Figura 1, desde então o número de casos acumulados da doença para ca...
Research
Full-text available
O objetivo principal desta nota é apresentar as tendências de isolamento social para o estado de Pernambuco e para a Região Metropolitana do Recife (RMR). Em 12 de março foram registrados os dois primeiros casos do novo coronavírus em Pernambuco. Conforme é possível verificar pela Figura 1, desde então o número de casos acumulados da doença para ca...
Conference Paper
Laboratórios são ambientes que necessitam ser controlados, principalmente devido ao fato de que nesses ambientes são realizados processos químicos. Controlar a temperatura e a umidade relativa do ar é tarefa primordial para que os processos desenvolvidos dentro de tais laboratórios possam ser repetidos dentro dos parâmetros exigidos. Buscando propo...
Article
Full-text available
The application of the most recent advances of the Internet-of-Things (IoT) technology to the automation of buildings is emerging as a promising solution to achieve greater efficiencies in energy consumption, and to allow the realization of sustainable models. The application of IoT has been demonstrated as effective in many fields, such as confirm...
Article
Industries are considered data rich but information poor environments. Mainly due to systems design restrictions, to the lack of adequate processing power and to a sector culture notably focused on collecting, selecting, storing and preserving historical series in on-demand access repositories, massive data generated in industrial operations is tra...
Article
Full-text available
Automated license plate recognition (ALPR) technology is a powerful technology enabling more efficient and effective law enforcement, security, payment collection, and research. A common license plate standard was adopted by the member states of the Mercosur trading bloc (Argentina, Brazil, Paraguay and Uruguay) and consequently requires an upgrade...
Conference Paper
Full-text available
Increased complexity in IT, big data, and advanced analytical techniques are some of the trends driving demand for more sophisticated and scalable search technology. Despite Quality of Service (QoS) being a critical success factor in most enterprise software service offerings, it is often not a generic component of the enterprise search software st...
Article
Full-text available
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the students...
Conference Paper
Full-text available
Intelligent vehicles are the very next future of the automotive sector, which is renewing itself following Industry 4.0 paradigms. Today, car manufacturers are rapidly increasing the number of vehicles that continuously transmit data to the Internet, in order to enable the virtuous feedback paths foreseen by Industry 4.0. Such data are used to impr...
Article
The purpose of this paper is to analize how the Correspondence Analysis Techinique can be used to enhance the Exploratory Data Analysis on the drop-out for a set of educational data with a majority of the categorical type. In order to do these analisys, the independence calculation was implemented from the chi-square test, and the heatmap and perce...
Article
Full-text available
The data set is composed of 2285 definitions posted on the Urban Dictionary platform from 1999 to May 2016. The data was classified as misogynistic and non-misogynistic by three independent researchers with domain knowledge. The data set is available in public repository in a table containing two columns: the text-based definition from Urban Dictio...
Article
Full-text available
Alarm and event logs are an immense but latent source of knowledge commonly undervalued in industry. Though, the current massive data-exchange, high efficiency and strong competitiveness landscape, boosted by Industry 4.0 and IIoT (Industrial Internet of Things) paradigms, does not accommodate such a data misuse and demands more incisive approaches...
Conference Paper
Full-text available
Recent moves to consider misogyny as a hate crime have refocused efforts for owners of web properties to detect and remove misogynistic speech. This paper considers the use of deep learning techniques for detection of misogyny in Urban Dictionary, a crowdsourced online dictionary for slang words and phrases. We compare the performance of two deep l...
Conference Paper
Full-text available
Urban liveability is a key concept in the New Urban Agenda (NUA) adopted by the United Nations (UN) in 2016. The UN has recognized that effective benchmarks and monitoring mechanisms are essential for the successful implementation of the NUA. However, the timely and cost effective collection of objective international quality of life urban data rem...
Article
Full-text available
Smart grids are a new trend in electric power distribution, which has been guiding the digitization of electric ecosystems. These smart networks are continually being introduced in order to improve the dependability (reliability, availability) and efficiency of power grid systems. However, smart grids are often complex, composed of heterogeneous co...