Navegando por Assunto "Database"

Agora exibindo 1 - 7 de 7

Acesso aberto (Open Access)
Banco de Produtos Educacionais Acessíveis (BPEA) como proposta estratégica para Núcleos de Acessibilidade
(Universidade Federal do Pará, 2024-06-24) WANZELER, Jaqueline do Nascimento Brito; SARDINHA, Ana Paula de Andrade; http://lattes.cnpq.br/5647500559593317; COUTO, Danielle Costa Carrara; http://lattes.cnpq.br/4583227212550116; https://orcid.org/0000-0003-3810-1686
The objective of this work was to develop a prototype of a Bank of Accessible Educational Products (BPEA) that support Accessibility Centers in Higher Education. In this context, the BPEA enables the standardization and storage, search/consultation, preservation and sharing of institutionally prepared Accessible Educational Products (PEA). The research was divided into five moments: 1) In the first phase, a bibliographical search was carried out in the data-bases between 2020 and 2023 on topics of interest; 2) Technical visits were then carried out at the Accessibility Coordination at the Federal University of Pará (UFPA) and at the Amazon Center for Accessibility, Inclusion and Technology at the Federal Rural University of the Amazon (UFRA) with interviews and application of the form on Google Forms and collection an exhibition of Accessible Educational Products created in the last five years; 3) In this phase, planning began through diagrams using Unified Modeling Language (UML) in the relational model; 4) PostgreSQL implementation of the database in the specificities/functionalities raised in partnership with the Institutional Scientific Initiation Scholarship Program (PIBIC)-UFPA 5) In the last phase, validation tests were carried out based on the Digital Preservation Reference Model ( OAIS) using the Likert scale (in four scales). You Selected experts were from four groups (teachers, pedagogues, accessibility and information technology professionals) and the validation results demonstrate the potential to contribute to accessibility services in the “Curriculum, Communication and Information” axis of the Include Program of the Minis-try of Education. Finally, it is believed that the BPEA prototype demonstrates how necessary the automatic management of Accessible Educational Products is to improve the lives of education professionals and apprentices, in addition to contributing to the evolution of Accessibility Centers in Higher Education in Brazil.
Acesso aberto (Open Access)
Desenvolvimento de monitoração na geração fotovoltaica em comunidades isoladas
(Universidade Federal do Pará, 2023-04-26) GONÇALVES, Francisco Reginaldo Conceição; VIEIRA JÚNIOR, Petronio; http://lattes.cnpq.br/1958791286192330
Nowadays, photovoltaic solar energy represents a significant portion of all electricity consumed in the world. It is crucial to develop tools for monitoring the solar system that aim to maintain generation productivity and mitigate security risks. This work presents a proposal for a development platform for monitoring photovoltaic generation for isolated communities, consisting of generation simulation, data transmission, database and supervisory system. The mathematical model used in the simulation is based on a system being implemented by the Automation Technology Group (GTA) at the Electrical Engineering Laboratory of the UFPA University Campus in Belém. Data are obtained by simulation and are transmitted to the cloud through a NodeMCU ESP8266 microcontroller. The computer, in addition to performing the simulation to obtain photovoltaic generation data, also accesses the clouds, acquiring data for the supervisory. The supervisory system is developed on the Internet of Things (IoT) platforms Thingspeak and Cloud Database, allowing the detection and diagnosis of failures. Measures such as solar radiation intensity, temperature, humidity, electric voltage and electric current are analyzed in order to diagnose faults. Through cloud computing, data is stored and made available in real time, with ample capacity and mobility, allowing remote monitoring of the system. Database tools with dedicated interfaces are used, as well as platforms focused on the internet of things. The photovoltaic generation is being implemented in an experimental bench, and the parameters of the simulated model have the same amplitudes as the real model, which has 1 solar panel with a maximum power of 130W, a maximum voltage of 17.6V and a maximum current of 7.39A. The perspective of this work is to improve the supply of electricity to isolated communities through remote monitoring of the generation system, with social and economic impact.
Acesso aberto (Open Access)
Efeito da adição de agregados reciclados na resistência ao cisalhamento de vigas de concreto armado
(Universidade Federal do Pará, 2018-07-31) CARDOSO, Allan Carvalho; FERREIRA, Maurício de Pina; http://lattes.cnpq.br/4242041552985485
The present work evaluates the influence of the incorporation of recycled concrete aggregate (RCA) on the shear strength of beams in reinforced concrete. An experimental analysis composed of twelve beams will be performed: four executed with conventional concrete (composed of natural aggregates) and eight with RAC. The experiment aims to evaluate the influence of the transverse reinforcement (ρw) and the variation of the longitudinal reinforcement ratio (ρl), on the shear strength of the parts. The concrete beams were divided into two groups, with RCA rates varying from 0 to 100%. In addition, three codes will be discussed: ACI 318 (2014); EUROCODE 2 (2004); NBR 6118 (2014) and MODEL CODE (2010), which will be applied to a concrete beams database (DB) with RCA. The performance of these codes will be evaluated through the parameter λ, by means of the relation between the ultimate experimental load (Vexp) and the theoretical ultimate load (Vteo), λ = Vexp / Vteo. This parameter was analyzed according to the level of conservatism and related to the main variables of this research: ρl, ρw and AGRC. The value of λ is analyzed according to the level of conservatism.
Acesso aberto (Open Access)
Metagenomic Approaches to Analyze Antimicrobial Resistance: an overview
(Frontiers Media S.A., 2021-01) ABREU, Vinicius Augusto Carvalho de; PERDIGÃO, José; ALMEIDA, Sintia Silva de
Antimicrobial resistance is a major global public health problem, which develops when pathogens acquire antimicrobial resistance genes (ARGs), primarily through genetic recombination between commensal and pathogenic microbes. The resistome is a collection of all ARGs. In microorganisms, the primary method of ARG acquisition is horizontal gene transfer (HGT). Thus, understanding and identifying HGTs, can provide insight into the mechanisms of antimicrobial resistance transmission and dissemination. The use of high-throughput sequencing technologies has made the analysis of ARG sequences feasible and accessible. In particular, the metagenomic approach has facilitated the identification of community-based antimicrobial resistance. This approach is useful, as it allows access to the genomic data in an environmental sample without the need to isolate and culture microorganisms prior to analysis. Here, we aimed to reflect on the challenges of analyzing metagenomic data in the three main approaches for studying antimicrobial resistance: (i) analysis of microbial diversity, (ii) functional gene analysis, and (iii) searching the most complete and pertinent resistome databases.
Acesso aberto (Open Access)
Metodologia para a classificação automática de doenças em plantas utilizando redes neurais convolucionais.
(Universidade Federal do Pará, 2019-11-07) REZENDE, Vanessa Castro; OLIVEIRA, Roberto Célio Limão de; http://lattes.cnpq.br/4497607460894318; SANTOS, Adam Dreyton Ferreira dos; http://lattes.cnpq.br/2616572481839756
Convolutional neural networks (CNNs) are one of the deep learning techniques that, due to the computational advancement of recent years, have enhanced the field of computer vision by enabling substantial gains in various classification problems, especially those involving digital images. Given the advantages of using these networks, a variety of applications for automatic plant diseases identification have been developed for specialized assistance or automated screening tools, contributing to more sustainable farming practices and improved food production security. In this context, this work aims to propose a methodology for the classification of multiple pathologies from distinct plant species, having as input a database composed of digital images of plant diseases. Initially, this methodology involved image preprocessing activities on the plant disease database to provide the appropriate input for selected CNN models (VGG16, RestNet101v1, ResNet101v2, ResNetXt50 and DenseNet169), as well as to generate ten new bases, ranging from 50 to 66 classes with greater representativeness, to submit the models to different situations. After model training, a comparative study was conducted based on widely used classification metrics such as test accuracy, f1-score, and area under the curve. To attest the significance of obtained results, the Friedman nonparametric statistical test and two post-hoc procedures were performed, which showed that ResNetXt50 and DenseNet169 obtained superior results when compared with VGG16 and ResNets.
Acesso aberto (Open Access)
Modelo para resistência de cisalhamento em vigas de concreto sem estribos
(Universidade Federal do Pará, 2021-11-30) LIMA, João Carlos Lisboa de; OLIVEIRA, Dênio Ramam Carvalho de; http://lattes.cnpq.br/1324105476558186
The analysis of shear strength in concrete beams involves significant complexities and iteration between parameters. The development of models for the design and verification of the ultimate limit state of beams began in the 19th century with empirical, theoretical and numerical models such as the Ritter-Mörsch truss analogy and the modified compression field theory. However, the almost stochastic ratios of compressive strength of concrete, longitudinal reinforcement ratio, loading slenderness, transverse dimensions and coarse aggregate diameter add up to numerous difficulties in creating simple and easily applicable formulas. Thus, the present work aims to develop a model based on proportionality relations and the application of an iterative algorithm to optimize the values of an initial database of 220 beams (62 authors) that failure by shear and define a theoretical model that will be compared with a database of 510 beams (63 authors) and other methods of calculation of relevance. The proposed formula provided a coefficient of variation of 6.23%, being between 34.97% and 59.52% lower than the models analyzed. Thus, the results of the proposed method, when considering the experimental and theoretical relationship of the database, present all values within the appropriate safety range, allowing greater accuracy in defining the ultimate load of concrete beams without stirrups.
Acesso aberto (Open Access)
Utilização de ambientes virtuais tridimensionais colaborativos em visualização de informação
(Universidade Federal do Pará, 2005-01-14) SOUZA JÚNIOR, Rosevaldo Dias de; MEIGUINS, Bianchi Serique; http://lattes.cnpq.br/3032638002357978; RIBEIRO FILHO, Manoel; http://lattes.cnpq.br/9329438229733907
Now thanks to the exponential evolutionary process of the hardware equipments, mainly the related to storage of data, it is possible to store enormous amounts of data, of all possible types, in a centralized base and/or distributed. There are some a little years ago was known what to do with such amount of stored data, in the days you act is known already that the organization that best to dominate the coming information of the is half that more chance will have to be well happened. Based on the mentioned premises is necessary that the responsible for the take of decision use tools of information visualization to aid in the ruling process, doing with that the same if turns more reliable, fast, intuitive and accurate. The information visualization uses techniques of data presentation with the objective of turning them more perceptible and intuitive for the user, however when there is need to present great amounts of data, the visualization is prejudiced for several reasons. To resolve this visualization problem, the use of the Virtual Reality (VR) if it turns essential due to the possibility that this interface provides just as interaction and navigability, characteristics that turn the most productive and interesting visualization. However, usually the ruling of decision is not made by a single person, and the tools in his great majority are mono-users, harming the ruling decision, mainly if the people are distant some of the other ones. With a collaborative environment of data visualization, it is possible to discuss on the same vision of data decreasing the time and unnecessary misunderstandings to the ruling decision. This work has for aim project and implementation a tool of information visualization in an environment three-dimensional virtual collaborative to aid the user in the ruling decentralized decision. Therefore it was used in the development of this characteristic tool of the areas of Database, Information Visualization and Collaborative Virtual Environments.