Navegando por Autor "Naldi, Murilo Coelho"

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    Multiplatform automated system for monitoring and sprinkler irrigation control
    (Revista de Sistemas De Informação da FSMA, 2016) Pinto, Marlon Lopes; Mendes, Aldo Henrique Dias; Drumond, Luis Cesar Dias; Naldi, Murilo Coelho
    The automation systems together with web and mobile control is a facilitator of the various processes in several areas, among them the agricultural sector. Specifically in the irrigation management, the lowest cost technology is not able to satisfy the farmer’s needs, which are the correct water supply to plants and remote monitoring of the irrigation. The objective of this paper is to present a system for controlling and monitoring irrigation with a multiplatform support for both desktop and web/mobile. The system is designed to realize automatic irrigation management in order to provide the exact amount of water needed for culture, avoiding water stress both the culture and the waste of resources such as water and electricity. Additionally, the system allows remote monitoring from anywhere by means of a computer and/or mobile device by internet. This work was developed during the undergraduate mentorship of the authors.
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    Visualization in Big Data: a tool for pattern recognition in data stream
    (Revista de Sistemas de Informação da FSMA, 2018-01) Soares, Victor Hugo Andrade; Santos, Joelson Antônio dos; Naldi, Murilo Coelho
    The development of new technologies is responsible for the generation and storage of continuous and massive amounts of data. Such type of data is known as data stream. The analysis of data streams may be advantageous in many fields, like bioinformatics, medicine, companies and others, as it may result in important information about the data. In this work, we propose a new software tool for Data Visualization that permits the analysis of the evolution of clusters in real time during the data streaming. The proposed visualization tool is add-on for SAMOA, a new variant of MOA (Massive Online Analysis) for massive data streams mining and processing distribution.