Navegando por Autor "Bocanegra, Silvana"

Agora exibindo 1 - 17 de 17

Acompanhamento preventivo e agendamento de pacientes com câncer utilizando programação inteira e matroides
(2023-04-26) Oliveira, Estéfane Paula Bezerra de; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/7916017096302322
Within the context of the growing number of cancer cases globally, optimization models can help physicians and health professionals to ensure the best use of available resources. This paper presents two constrained optimization models, one for the prioritization of patients for preventive follow-up of cervical cancer and the other for the scheduling of oncology patients in treatment, both using integer programming and AMPL. In addition, a performance analysis of a patient scheduling algorithm using matroids is presented. The models were tested on randomly generated instances, resulting in a list of hypothetical priority patients for performing tests, as well as a list of patients scheduled in their respective shifts.
Alagamentos e Inundações - Uso de visualização geométrica para análise de risco associados ao volume de chuva e altura das marés na cidade do Recife
(2022-06-06) Gomes, Igor de Melo Laurentino; Bocanegra, Silvana; Albuquerque, Jones Oliveira de; http://lattes.cnpq.br/1220553574304474; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/3909324432072958
The purpose of this paper is to present a model of a risk diagram related to the occurrence of floods in the city of Recife. Visual artifacts that could be used as information sources and support decisions, disaster prevention and specific actions to mitigate adverse effects caused by rains are the expected results of this paper. To achieve the main goal, the calculating model for COVID-19 propagation risk created by IRRD in association with the Polytechnic University of Catalunya was adapted to the climatology’s theme. The presented results were collected in a day with big rain precipitation in the metropolitan region of Recife, and this was good for evidence capture and to prove the proposed model is applicable indeed.
Um algoritmo para geração de Navigation Meshes em mapas bidimensionais homogêneos: uma aplicação no jogo Dragon Age: Origins
(2019) Costa, Ingrid Danielle Vilela; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/6113606913639280
In the field of electronic gaming and more recently in robotics, autonomous agent soften need to repeatedly solve the problem of searching for the smallest path. This need can eventually consume a lot of resources and demands optimizations to make these searches more efficient. Such optimizations may include improvements in search algorithms, map representation, data structures used. This work presents an optimization for search algorithms based on the reduction of the search space by means of an automatic Navigation Meshes generation algorithm which are networks of walka blemap areas implying in a reduction of the search space and consequently improving the search processing time. The generation of Navigation Meshes is a problem with no consolidated solution. To prove the heuristic, path finding problems were solved on 156 benchmark maps. The path findings were performmed by the A* algorithm and the solutions were compared between the original maps and the optimized ones. An average search space reduction of 97.42% was achieved, with a standard deviation of 0.026and the search had an average marginal reduction in execution time of 46.76%.
Análise das dinâmicas de transmissão da Mpox em Pernambuco através do uso de Modelo SEIQR com otimização de parâmetros
(2022-11-23) Pessoa, Wagner Palacio; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/0525335441263931
In recent years, as a result of the COVID-19 pandemic, the importance of the accuracy of the results of studies related to the evolution and propagation of diseases has become evident, so that scientific authorities have enough inputs to make quick decisions in the containment and prevention of epidemics and mitigate their effects on society and the economy as soon as possible. At the end of July 2022, the Mpox (Monkeypox) outbreak was declared a global health emergency by the WHO, accelerating a possible return to the state of alert for a new pandemic. This work aims to analyze the transmission dynamics of this virus in Pernambuco using the SEIQR compartmental epidemiological model (Susceptible, Exposed, Infected, Quarantineed and Recovered), with data available from July 12 to November 3, 2022. The simulations were performed with the Wolfram Language. Experiments were performed with manual adjustment of the model parameters by a graphical interface and also considering the dynamic adjustment over time intervals, using a non-linear optimization function. The results suggest a possible regression in the spread of the virus in the state between mid-December 2022 and January 2023.
Análise de sentimentos dos tweets relacionados ao Superior Tribunal Federal no ano de 2019
(2022-11-10) Cadengue, Guilherme Lapa de Araújo; Andrade, Ermeson Carneiro de; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/8502533221842320
The Social media since its inception has affected all Internet users. Networks such as Twitter provide a new form of communication, interaction and, above all, a way of expressing opinions about the different events of life in society, consequently enabling the generation of content. Knowing the opinions of Brazilians about public institutions is very important for engaging people in society, as agents participating in decisions that affect all individuals, that is, it is a form of social inclusion. The application of Sentiment Analysis is carried out in several areas in order to extract the content of public opinion. The objective of this work is to identify the feelings of the Brazilian population about the Superior Federal Court of Brazil through the content of published tweets between January and December 2019. For this, the tweets in the period were collected, which were pre-processed, classified and then analyzed. The results show highly polarized opinions, but generally negative opinions regarding the STF are predominant (estimate at 51.7%).
Desenvolvimento da Plataforma Corporate: autogestão de serviços de saúde para empresas
(2025-03-26) Morais, Gabriel Lourenço de; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/7194069568041433
A rede privada de saúde do Brasil ano após ano vem sofrendo prejuízos que atingem patamares de bilhões de reais e ainda assim uma parcela significativa da população brasileira não possui acesso à saúde de qualidade. Afetadas diretamente por este cenário, as empresas são impactadas financeiramente por reajustes livres de negociação dos planos de saúde, forçando-as a buscar alternativas seguras, sustentáveis e de qualidade. Neste relatório, será apresentado um produto desenvolvido na empresa Exmed capaz de proporcionar uma economia real para as empresas brasileiras, ofertando um serviço de autogestão da saúde para seus colaboradores que, em uma única plataforma, poderão gerenciar seus gastos com saúde, aprovar os procedimentos necessários e assim evitar desperdícios. Também serão abordados os detalhes técnicos do desenvolvimento, envolvendo os conceitos fundamentais de plataformas modernas, as ferramentas utilizadas na implementação, as estratégias de performance, a estruturação de um projeto escalável e auto-gerenciável, além dos módulos e formas de comunicação entre os sistemas internos da Exmed. Por fim, serão apresentados alguns resultados obtidos pela empresa com a implementação desta plataforma.
Desenvolvimento de aplicação em Outsystems para área de saúde utilizando práticas do HIPAA compliance
(2025-03-26) Carvalho, Udney Epaminondas; Bocanegra, Silvana; Marques, Paulo César Florentino; http://lattes.cnpq.br/1264573844331881; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/3835096844800301
A iminente necessidade das empresas de adotarem o processo de transformação digital induziu muitas a buscarem recursos que possam fornecer entregas ágeis e robustas para a digitalização dos seus processos. Esta transformação digital também atinge o setor de saúde, que atrelado aos desafios inerentes a própria natureza destas mudanças, também precisa lidar com cautela ao tratar das informações sensíveis dos pacientes e o compartilhamento destes dados. Para atender a demandas como estas, onde é necessário agilidade e segurança para a elaboração de projetos, tem se popularizado o uso de plataformas low-code, que por usar os benefícios da computação em nuvem e a possibilidade de criar código utilizando recursos visuais, vai facilitar o aprendizado técnico e permitir a criação de aplicações robustas em um tempo reduzido. O presente trabalho tem como objetivo apresentar o uso de uma plataforma low-code (OutSystems) no desenvolvimento de uma aplicação web para gerenciamento e realização de consultas médicas. Como estudo de caso, será utilizado um produto da start up ZophIA.tech, que faz uso de inteligência artificial aprimorada por análise geométrica para auxiliar no diagnóstico de esquizofrenia e outras doenças mentais através da fala e gestos de pacientes. Serão implementadas as regras de segurança de dados do padrão americano HIPAA para tratar com informações sensíveis dos pacientes.
Desertificação - Uso de visualização geométrica para análise de risco
(2022-06-06) Paiva Neto, José Augusto de; Bocanegra, Silvana; Albuquerque, Jones Oliveira de; http://lattes.cnpq.br/1220553574304474; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/0458859679894808
The process of misuse of land, lack of rain and several other factors can lead the region to become a desert. Once a region becomes deserted it may be impossible to reverse this condition.Frequently analyzing the risk of desertification can facilitate public policies to mitigate these effects.This paper aims to bring a proposal for risk analysis of regions that are at the nucleus of desertification in the northeast using vegetation data. This paper presented a high risk of desertification in 3 municipalities in northeastern Brazil.
Um modelo Fuzzy para estimar o risco de desenvolver câncer de colo de útero
(2021-03-05) Freitas Neto, Manoel Antônio de; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/9209693395568082
Cervical cancer is the fourth type of cancer that kills more women in the world and in Brazil. There are almost 600.000 cases per year in which more than half die. Despite this high incidence rate, the probability of recuperation in cases with early detection is equally high. In view of this, the proposal of this work is the development of a mathematical computational model that can be useful to estimate the risk of a person developing the disease and thus help the specialists in a possible prediction and prevention of this disease. To build the model the theory of fuzzy logical sets was used. Initially was studied the main risk factors associated to the development of the cancer and created linguistics variables to subsidize the building of the fuzzy rules system. By selecting the variables age, age of the first sexual relationship, parent’s historical of cancer, presence of ISTs, smoking, amount of male partners in the last year and HPV vaccination is possible to estimate the risk of a patient developer cervical cancer. They can be classified into five categories: very low, low, moderate, high and very high. Besides that, a mobile application was developed for data capture and future integration with the model for risk estimation.
Mpox - uso de visualização geométrica para análise de risco
(2024-03-05) Oliveira, Filipe Carlos Xavier de; Bocanegra, Silvana; Albuquerque, Jones Oliveira de; http://lattes.cnpq.br/1220553574304474; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/5558598271009886
The point of this paper is to analyze the risk levels of monkeypox in countries belonging to the continents of Europe, North America and South America, which have a greater number of cases. To this, an approach based on an empirical methodology that shown good results will be used to assess the risk of Covid-19, through diagrams. Frequent visual information on the state of the disease maximizes the effects of prevention, control and decisions by responsible agencies, as risk analysis can be done in advance. The results obtained with the proposed approach represent that: The countries selected in the study presented high risk levels in the months of July and September 2022, and in July 2023 they presented low risk levels.
Mssbox, um pacote python para facilitar a automação de testes mobile que envolvem sim cards usando o hardware matrix SIM switch box
(2022-06-03) Silva, Antonio Carlos da; Bocanegra, Silvana; Oliveira, Renan Marques Gomes de; http://lattes.cnpq.br/6483902648151599; http://lattes.cnpq.br/4596111202208863
Mobile apps require testing like any other software system. However, running mobile tests is quite challenging, as you need to think carefully about each test type when thinking about creating test cases. For automation, the challenges are even greater due to the variety of devices, operating systems and mobile network issues. Bringing it to the testing scenario on cell phones, one of the ways to test considering the mobile network is by inserting a SIM card in the device. The need to manipulate these SIM cards during testing is the challenge that this work seeks to explore. The present work has as main objective to present a tool to aid in the automation of tests that need this manipulation and the development of a package that allows the tool to be used in automation. For this, an action research was carried out through an experiment in a mobile testing project, in which it was possible to describe the tool and its functionalities, as well as the necessary steps for its use. It is also described how the created package was structured and the tests implemented to use the package. Finally, it was possible to identify the benefits that can be obtained using this tool for test execution and automation on cell phones.
Processo de ETL voltado para jurimetria
(2021-12-20) Cristovam, Edson Fagner da Silva; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/1519472768897299
Large companies may have difficulty managing numerous court cases they are defendants in, as a team of the size needed to manage these cases can be very costly. With the digitization of judicial processes, a strategy that automates the adjustment of process information and is easy to consult can be very useful. Therefore, the data warehouse seems to be a very suitable technique for this, as it normalizes and standardizes information from different sources that are contained in it. But to load the data into a data warehouse, it’s necessary to prepare it with a method commonly known as ETL. With this method we can create data extraction, transformation and load flows that will be written in the data warehouse. With a data warehouse filled with legal data, we can use it to help decision-making in the legal sector of companies through jurimetry, which consists of applying statistical tools to Law, providing new points of view based on data.
QA Metrics: integração das métricas de qualidade de software, em ambiente Docker, para exibição de dashboards Grafana alimentado pelo banco de dados temporal InfluxDB via Newman
(2022-07-15) Silva, Lucas Ferreira da; Bocanegra, Silvana; Assad, Rodrigo Elia; http://lattes.cnpq.br/3791808485485116; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/9075508106025707
Software Quality metrics and indicators are able to help a software tester, commonly known as QA, to assess what needs to be done to improve performance of a software development project. In addition, it makes it possible to monitor the progress of a project in order to suggest initiatives based on the collected data. However, gathering the metrics obtained from different data sources to present them in real time is not an easy task for some companies. Nevertheless, with the use of APIs, it is possible to collect the data, analyze and present them in dashboards and reduce QA rework. In this paper, it was developed a system capable of collecting data from three services in order to present, in dashboards, the metrics that are essential in the area of Software Quality. Furthermore, the collection and storage of these metrics are performed in an automated and orchestrated manner through a compact, fast, efficient, safe, portable and isolated application.
Raspagem de Dados Jurídicos Utilizando Scrapy
(2021-12-20) Barbosa, Jadiel Eudes Mendonça; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/8044959053132773
Web scraping is a computational technique that uses a program to extract data that are hidden in web pages. In this way, this academic work aims to use how web scraping techniques to extract data from legal processes from the websites of the courts in order to help contracting companies to take strategic decisions with their legal departments.
Recomendação de psicólogos por meio de algoritmos de filtragem colaborativa, conteúdo e híbrida
(2023-09-14) Gomes Júnior, Augusto Rosário; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863
There is a rising number of people diagnosed with mental health disorders such as depression and anxiety, disorders that have been long neglected by science and society. Even so, more and more advances are being made in the ways of treating these people, such as platforms that offer psychological care remotely. However, choosing a psychologist or therapist is not always an easy task, given the large amount of information involved in the choosing process. Based on that, the goal of this article was to develop a psychologist recommender system based on a hybrid model, which should be able to recommend psychologists with expertise that meet the needs of different types of patients. The model showed promising results, where the similarity between the recommended psychologists was consistent and good results were achieved in the evaluation metrics MAE (<0.5) and RMSE (<0.75). It was also possible to mitigate weaknesses from both content and collaborative recommendations.
Sociedade Empreendedora, uma opção de unir o povo ao povo
(2021-12-20) Santiago, Maria Isabel Costa; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/8924969712341979
Sociedade Empreendedora was a project developed to serve small communities in Recife, Pernambuco, with the objective of creating a textit e-commerce for mobile application, aiming to serve citizens in these areas Who have small businesses or work as painters, bricklayers, plumbers, etc. The system consists of an application and an administrative panel responsible for managing users, which will be detailed in this article. The technological solutions used in the development of the front-end of the panel were Vue.Js and Nuxt.Js, frameworks Javascript, with Nuxt.Js being an extension of Vue.
Sugestão de livros baseada em algoritmo híbrido de recomendação e grau de interesse recente
(2023-05-26) Tavares, Eduardo Brandão; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863
With a vast and growing range of books available, choose your next reading can become a complex job amid so many options. In the context of Brazil, where most readers have to choose well which book to buy, due to the low purchasing power of our population, an assertive recommendation has become more valuable. This article presents a book recommendation algorithm based on a hybrid model, which consists of using both techniques related to association rules and techniques that are based on the content of books, aiming to present unknown books that follow the recent interest of the reader. The model managed to reach an accuracy comparable to other models in the RMSE and MAE metrics and delivers recommendations closely related to the last readings of each reader.