QUATÉRNIOS: GENERALIZAÇÃO DOS NÚMEROS COMPLEXOS NA PERSPECTIVA DO USO DO SOFTWARE EDUCATIVO GEOGEBRA E O SOFTWARE ON-LINE LIVRE QUATERNION

This article was carried out under the Tutorial Education Program (PET Mathematical Knowledge connections), of the Mathematics Degree Course at the Federal University of Mato Grosso do Sul (UFMS) - Três Lagoas Campus (CPTL). Our objective was to present both the consolidation of Complex Numbers (1833) and the class of hyper-complex Quaternions (1843), both conceptualized by Sir William Rowan Hamilton, as well as using the Free Educational Software GeoGebra and the Free Online Software QUATERNION, as alternative pedagogical resources facilitating the development of the teaching and learning process of abstract mathematical content.

MONITORAMENTO DE FALHAS EM SISTEMAS DINÂMICOS UTILIZANDO UM MÉTODO DE ANÁLISE DE DADOS BASEADO NO ALGORITMO DE SELEÇÃO NEGATIVA

This work presents the application of a method for monitoring and diagnosing failures in mechanical structures based on the theory of vibration signals and on Artificial Immune Systems to assist in data processing. It uses the Negative Selection Algorithm as a tool to identify fault samples extracted from the laboratory simulated signals of a dynamic rotor. This methodology can help mechanical structure maintenance professionals, facilitating decision-making. The data set used in the processing of the intelligent system was generated through experiments. For normal (base-line) conditions, the signals of the rotor in free operation were used, that is, without the addition of unbalance mass, and for the fault conditions, unbalance masses were added to the system. The results are satisfactory, showing precision and robustness.

PROJETO DE REATOR ANAERÓBIO DE FLUXO ASCENDENTE (RAFA) PARA TRATAMENTO DE VINHAÇA

Brazil is the largest sugar and alcohol producer in the world, consequently, it is also a major vinasse producer, which is a problem, as it has a high potential for pollution, severely impacting the soil and water, despite being used in fertigation of cane fields. When treated in anaerobic conditions, however, it can produce energy and be used as a biofertilizer for the soil. This treatment can be performed by an Upflow Anaerobic Sludge Blanket (UASB), considered efficient by the literature. Based on this, this article tries to gather equations and collect data, reviewing the scientific literature with the objective of designing an UASB for the treatment of vinasse, exposing an alternative of suitable final disposal for this by-product. The results show good opportunities, with a great potential for reducing BOD and COD and producing biogas, electricity and biofertilizer, in addition to providing a compilation of equations and important data for future calculations.

BUSCA DE PALAVRAS CHAVE EM IMAGENS DE LIVROS IMPRESSOS USANDO VISÃO COMPUTACIONAL

With the increasingly frequent use of books in digital format, people search for the desired subjects in a faster way compared to the search in physical books. This work aimed to develop a computational resource in the form of an application for Android smartphones, which, based on an image captured from a page in a book, performs searches by keywords. The purpose of using the application is to help the reader to find the desired information quickly. We use Computer Vision techniques with the aid of the OpenCV library in the development of algorithms to perform segmentation, correction of the perspective of the book page image, identification and rectification of the wavy lines, recognition and character classification. The results shown were promising with a hit rate of over 88%.

ANÁLISE DE MÉTODOS DE DETECÇÃO E RECONHECIMENTO DE FACES UTILIZANDO VISÃO COMPUTACIONAL E ALGORITMOS DE APRENDIZADO DE MÁQUINA

The advancement in technology in recent decades has provided many facilities for humanity in various applications, and facial recognition technology is one of them. There are several problemsto be solved to perform face recognition from digital images, such as varying ambient lighting, changing the face physical characteristics and resolution of the images used. This work aimed to perform a comparative analysis between some of thedetection and facial recognition methods, as well as their execution time. We use the Eigenface, Fisherface and LBPH facial recognition algorithms in conjunction with the Haar Cascade facedetection algorithm, all from the OpenCV library. We also explored the use of CNN neural network for facial recognition in conjunction with the HOG facial detection algorithm, these from the Dlib library. The work aimed, besides analyzing the algorithms in relation to hit rates, factors such as reliability and execution time were also considered

DETECÇÃO DE ANIMAIS BOVINOS UTILIZANDO IMAGENS AÉREAS POR MEIO DE REDES NEURAIS

Nowadays, with the evolution of technology, many areas that cover agriculture are making use of professional drones that have several tools that help in monitoring. With the advancement of Neural Networks, several researchers are choosing to use neural networks to detect objects. As the counting of bovine animals requires time and physical effort, in addition to being risky in certain situations, with the use of aerial images and neural networks, this activity becomes more viable and with less time spent. In this work, the focus is on detecting bovine animals using two neural networks, with aerial images captured from a drone.

MAKEMESEE –UMA SOLUÇÃO PARA O AUXÍLIO DE DEFICIENTES VISUAIS

Solutions involving artificial intelligence has become increasingly common in the last years because the increase of computer power and emergence of new technologies. These works include many humansneeds, like autonomous cars, segmentation of medical images or financial market predictions. Since accessibility is a very important area and the techniques like artificial intelligence and computer vision can make solutions to help disabled people, this paper is showing an aid that can detect, calculate and narrate obstacles to help visual impairment people. With a hardware compound by two webcams, responsible by to get different images from a scene, and a software that can processing the images, classifying, and detecting the obstacles, the system can informthe user what are ahead.

CONSTRUÇÃO DE IMAGENS PANORÂMICAS EM MÚLTIPLAS FAIXAS DE ALTURA E LARGURA USANDO ALGORITMOS WATERSHED E GRAPH-CUT

In this work we developed an algorithm for building panoramas with multiple height and width ranges. For multilinear stitching, images were initially placed in a matrix and partial panoramas with images from the same column are generated. To complete the final panorama, the columns were divided with the help of support points and the neighboring columns were stitched, being reassembled at the end of the process. The stitching was performed with a graph cut algorithm in conjunction with the Watershed algorithm.

APLICAÇÃO DE REDES NEURAIS CONVOLUCIONAIS NO RECONHECIMENTO DE CARACTERES EM PLACAS INFORMATIVAS JAPONESAS

Unlike most Western countries, which have a Latin-derived base alphabet, Japan has two syllabic alphabets called Hiragana and Katakana, and a Chinese alphabet, called Kanji. The vast differences in the writing of these Eastern alphabets to Western alphabets, Western alphabet-based OCR algorithms tend not to efficiently detect Japanese characters. This work contributes to a methodology applying digital image processing techniques, such as color range-based segmentation, edge detection and mathematical morphology techniques, to detect Japanese traffic informationalplates correctly the perspective and segment the characters contained in it. A convolutional neural network wasused to perform the classification of Hiragana characters contained in the segmented plates, withaccuracyof 94.37%.

OTIMIZAÇÃO DE ROTAS DE AUTOMÓVEIS E ESCALAS PARA ATENDIMENTO DE HOME CARE

The Brazilian vehicle fleet has been growing year by year. This increase in the number of vehicles brings with it some problems, such as congestion and an increase in greenhouse gas emissions. In almost all urban centers, parking outside private establishments is a difficult task, and the time spent on commuting is increasingly high. As an alternative to reduce the number of vehicles in circulation, the sharing of vehicles, as a kind of ride between people who make similar journeys, is gaining ground in urban centers around the world. With an eye on the financial and environmental benefits offered by this alternative, some companies are beginning to adhere to its use, groupingprofessionals who follow similar paths in groups that use the same vehicle. This work aims to seek ways to optimize the route that this group of professionals takes in each work cycle, mitigating vehicle maintenance costs and reducing fuel costs, which consequently reduces pollutant gas emissions. For customers, this can offer greater punctuality in the provision of the service and greater availability of professionals' time. At the end of the work, it is expected that an application will be developed thatperforms the route calculation in the best possible way, allowing its users to have a better use of time when using it.