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Although the analysis of data is a task that has gained the interest of the statistical community in recent years and whose familiarity with the statistical computing environment, they encourage the current statistical community (to students and teachers of the area) to complete statistical analysis reproducible by means of the tool R. However for years there has been a gap between the calculation of matrices on a large scale and the term "big data", in this work the Normalized Cut algorithm for images is applied. Despite the expected, the R environment to do image analysis is poorly, in comparison with other computing platforms such as the Python language or with specialized software such as OpenCV. Being well known the absence of such function, in this work we share an implementation of the Normalized Cut algorithm in the R environment with extensions to programs and processes performed in C ++, to provide the user with a friendly interface in R to segment images. The article concludes by evaluating the current implementation and looking for ways to generalize the implementation for a large scale context and reuse the developed code. Key words: Normaliced Cut, image segmentation, Lanczos algorithm, eigenvalues and eigenvectors, graphs, similarity matrix, R (the statistical computing environment), open source, large scale and big data.

Ficha Catalográfica para Trabalhos Acadêmicos Francisco Reinaldo (https://orcid.org/0000-0001-6161-6755) (http://lattes.cnpq.br/7401534350061823) 18/05/18 v1tuned Agradecimentos a Overleaf pela oportunidade Curso de Licenciatura em Informática - Francisco Beltrão/PR

O conceito de automação residencial é definido como o conjunto de serviços proporcionados por sistemas tecnológicos integrados, sendo a melhor maneira de satisfazer as necessidades básicas de segurança, comunicação, gestão energética e conforto de uma habitação. Seguindo essa concepção, surgiu-se a ideia da criação de um Kit automatizado para janelas utilizando a plataforma Arduíno, visando a solução de problemas do dia a dia como o transtorno causado pela chuva e principalmente, gerando praticidade e comodidade para os cidadãos.

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In this calculus project, students use infinite series to investigate Euler's Equation: $e^{i\pi} + 1 = 0$.