How to perform oracle database 11g version update to oracle database 19C

Due to the discontinuity of support for one of the database versions most used by organizations, Oracle Database 11g, it is important that companies that still use this version, pay attention to the next upgrade from Oracle. This work was elaborated by means of exploratory research, using as methods and research techniques the documentary and bibliographic analysis, with the purpose of providing steps with techniques and methods of how to proceed with two oracle projects, one of migration from the Linux operating system Red Hat 4.4.7-3 for Oracle Linux 7.7, and a version upgrade from Oracle Database 11g to Oracle Database 19c, presenting strategies using tools and following Oracle\u27s recommendations. This study was built based on real demands that companies have been facing with this great dilemma, the discontinuity of support for the Oracle database 11g version. The observed results were, official support from Oracle, architectural change in order to be prepared for a supposed intervention with updating and migration of services to the cloud

Application of the nonlinear autoregressive model with exogenous inputs for river level forecast in the Amazon

The present work is justified by three basic lines that involve the problem of the theme, which are the use of Artificial Intelligence, the problem of floods in the Amazon and the issue of technology in favor of decision making. The environmental impacts caused by economic and social factors are problems portrayed in scenarios such as floods and ebbs of rivers, bringing up situations such as an increase in diseases, reduction of agricultural production in locations that depend on accurate geological control, in addition to the increase in erosive processes. in risk locations. Thus, the use of AI to predict the river level, which consequently can minimize problems arising from floods that cause an environmental impact, is highly possible, since when it is known in advance that an event is close to happening, decisions can be taken so that the impacts be smaller. This work models and applies NARX to forecast the river level in the Amazon with variables of easy access and implementation through the MATLAB software, in order to contribute with a forecast model capable of predicting a possible flood from the river level.

Composting model with the reuse of organic waste in rural schools

School institutions become producers of organic waste as a result of the daily consumption of school meals offered to students during the school year. An alternative, so that this material is not incorrectly released into the environment, is the implementation of a composting model that will reuse organic waste, generating humus, which will serve as fertilizer for the implementation of a vegetable garden in the school in the rural area. This work aims to propose a composter model in a School in the Rural Area of Manaus for the reuse of organic waste, to develop a prototype of composter for the production of humic substances and mineral nutrients for the creation of gardens, to prepare the manual with guidelines for the correct and sustainable management of the composting plant and the school garden and implementing the garden system through the composting process using school organic waste. The work is a case study that proposes to implement a prototype of compost for the production of humic substances and mineral nutrients for the construction of a school garden. It is intended that the proposal raises the awareness of the school community for the correct management and reuse of solid waste generated by the school and arouse in students and teachers the interest in environmental education and behavior change for the preservation of the environment in which they live

Proposal improvement program, supported the DMAIC approach : a case study at an educational institution Amazon

Dissertação de mestrado em Engenharia Industrial (área de especialização em gestão Industrial)O projeto desta dissertação aconteceu dentro de um cenário real de uma instituição de ensino no Estado Amazonas, onde foram identificados problemas com o atendimento ao cliente, o que levou ao aumento do percentual de insatisfação. A proposta para melhoria foi realizada através da metodologia DMAIC, um método da filosofia Seis Sigma. Os resultados foram obtidos a partir da aplicação de um questionário aos clientes da instituição. Foi utilizada a escala SERVQUAL, como instrumento de medição e posteriormente representado em gráficos. Também foram identificados os principais pontos críticos, que estão apresentados por meio do gráfico radar, mais especificamente identificado no texto como gráfico de áreas ruins. Os resultados também podem ser vistos na tabela que identifica as médias por questão e médias das dimensões da escala SERVQUAL. A proposta de melhorias para implantação da metodologia do DMAIC será apresentada através da ferramenta da qualidade denominada 5W2H. Vale ressaltar que a escala SERVQUAL, foi utilizada para auxiliar na fase da Definição do problema, onde esta escala possui 5 dimensões: Tangibilidade; Confiabilidade; Garantia; Presteza; Flexibilidade. Além das dimensões mencionada, a mesma possui 5 escalas: Ruim; Regular; Bom; Satisfatório; Excelente.This project was developed in an Educational Institution of Estado de Amazonas – Brazil, where problems with the customer service were detected, leading to a decrease of the customer satisfaction. An improvement proposal was projected through DMAIC methodology. The results were obtained from a survey that was conducted in the institution. The SERVQUAL was used as a measuring instrument and the results were plotted on graphs. The main critical points were identified and plotted on Radar graphs, which is identified as bad areas graphic. The results are also presented in a table, in which can be found the average by question and the average by dimension of the SERVQUAL scale. The 5W2H tool was used to present the improvement proposal to the implementation of DMAIC methodology. The SERVQUAL scale was adopted in order to support the problem definition phase and includes 5 dimensions: tangibility; reliability; guarantee; agility; flexibility. In addition, a 5 points likert-scale was used: bad; regular; good; satisfactory, and excellent

Proposta de reorganização da estrutura organizacional: estudo de caso na Ótica Extra

A partir do diagnóstico organizacional realizado nas óticas extra, identificou-se que através desse estudo de caso a necessidade de padronizar e inovar as suas perspectivas diante do mercado, pois através dessa percepção. O objetivo geral do artigo busca-se apresentar alternativas resolutivas no ambiente organizacional implantado através das ações interventivas. O presente estudo pretende responder: Como a reformulação de processos e investimento em capacitações pode contribuir com o aprimoramento da gestão da empresa estudada? Como desenvolvimento metodológico caracteriza-se de natureza qualitativa, quantos aos fins descritivos e quanto aos meios bibliográficos. Espera-se que este estudo possibilite o incremento da qualidade dos serviços influenciando na capacitação dos gestores de forma eficiente trazendo o entendimento de suas respectivas áreas, com o intuito de esclarecer a importância das tomadas de decisões

Swot Analysis Implemented With Fuzzy Inference to Support Decision Making

Current market conditions require organizations to understand the business environment in order to achieve strategic planning and decision-making processes. An organization's competitive advantage is associated with an understanding of how to determine the potential of these companies when examining internal and external conditions (insertions) and the effort to meet customer needs. Among the many tools that contribute to this understanding, the SWOT analysis stands out, which can assist organizations to better understand the internal and external environment and formulate strategic plans in a collaborative way. This work aimed to implement an evaluation model for SWOT analysis using fuzzy inference methods. The adopted methodology started from a survey on the internal and external characteristics of the organization, definition of the linguistic criteria of the SWOT matrix, correlation between the variables found and elaboration of the fuzzy inference system for crossing the inputs. The approach proposed by the Fuzzy Inference model for the SWOT matrix proved to be simplified and efficient for a better collection of information that allows the prediction of the future environment, enabling reasoned strategies resulting from the model presented

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data