Repositório do Conhecimento Institucional do Centro Universitário FEI
 

Ciência da Computação

URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/342

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Resultados da Pesquisa

Agora exibindo 1 - 5 de 5
  • Artigo 10 Citação(ões) na Scopus
    Discrete-event simulation of an irrigation system using Internet of Things
    (2022-06-01) GOMES ALVES, R.; Rodrigo Maia; Fabio Lima
    © 2003-2012 IEEE.Agricultural water consumption represents 69% of all freshwater used on the planet. In addition, it is necessary to increase food production by 50% by 2050. The use of Internet of Things platforms to carry out the sensing and monitoring of the agricultural environment is increasingly present in the literature. One of the difficulties that such platforms face is to validate the platform's operation in different irrigation systems, as it is often necessary for specialists to work in the connection of sensors and actuators that already exist on farms or that are defined in the design of such systems. Within this context, a discrete-event simulation of an irrigation system integrated into an Internet of Things platform was developed in this work. The digital manufacturing software Plant Simulation was used to perform the discrete event simulation. An OPC UA server establishes real-time communication between the Internet of Things platform and the simulation software. Thus, farmers may verify, in real-time, how a given irrigation prescription, sent by the IoT platform, takes place in the irrigation system.
  • Artigo de evento 1 Citação(ões) na Scopus
    The signs of semiotic engineering in the IoT interaction design
    (2018) FERARI, M. I.; BIM, S. A.; Plinio Thomaz Aquino Junior
    © Springer International Publishing AG 2018.In an IoT (Internet of Things) environment new forms of interaction between human and computer can occur through devices that combine the object with sensors and actuators. In view of this scenario, one of the purposes of bringing together the areas of HCI (Human Computer Interaction) and IoT design is to understand how this new form of interaction with the participation of sensors and actuators happens, and thus contribute to the development of the design of interaction adequate to the needs of user. The objective of this paper is to establish the application of the concepts Semiotic Engineering (a theory of HCI), which is based on the study of signs and considers every form of interaction as an artifact to communicate a message between the system designer and the user, to contribute to effective and efficient communication, and consequently increase the quality of use of the system. The validation of this application occurred in a positive way, but with some restrictions that reflect the specific characteristics of this type of interaction, such as ubiquity and the distancing from the traditional forms of interaction (mouse, screen, and key-board) between the person and the computer.
  • Artigo de evento 27 Citação(ões) na Scopus
    SWAMP: Smart Water Management Platform Overview and Security Challenges
    (2018-07-19) KAMIENSKI, C.; KLEINSCHMIDT, J. H.; SOININEN, J-P.; KOLEHMAINEN, K.; ROFFIA, L.; VISOLI, M.; Rodrigo Maia; Fernandes S.
    © 2018 IEEE.The intensive use of technology in precision irrigation for agriculture is getting momentum in order to optimize the use of water, reduce the energy consumption and improve the quality of crops. Internet of Things (IoT) and other technologies are the natural choices for smart water management applications, and the SWAMP project is expected to prove the appropriateness of IoT in real settings with the deployment of on-site pilots. At the same time, the more intense the use of technology is, agriculture turns new security risks, which may affect both crop development and the commodities market. A security breach may irreversibly compromise a crop and data eavesdropping may compromise price and contracts exposing sensitive data such crop quality, development or management. This paper discusses security challenges and technologies for the application of IoT in agriculture and indicates that one of the most relevant challenges to be handled in SWAMP project is dealing with the multitude of behaviors from IoT application and what would be considered as normal and what would be considered as a threat.
  • Artigo de evento 62 Citação(ões) na Scopus
    SWAMP: An IoT-based smart water management platform for precision irrigation in agriculture
    (2018-11-13) KAMIENSKI, C.; SOININEN, J. - P.; TAUMBERGER, M.; FERNANDES, S.; TOSCANO, A.; CINOTTI, T. S.; Rodrigo Maia; TORRE NETO, A.
    © 2018 IEEE.Irrigation for agriculture is the biggest consumer of freshwater in the world, which makes a case for the intensive use of technology to optimize the use of water, reduce the consumption of energy and improve the quality of crops. While the Internet of Things (IoT) and other associated technologies are the natural choice for smart water management applications, their appropriateness is still to be proven in real settings with the deployment of on-site pilots. Also, IoT-based application development platforms should be generic enough to be adapted to different crops, climates, and countries. The SWAMP project develops IoT based methods and approaches for smart water management in precision irrigation domain and pilots them in Italy, Spain, and Brazil. In this paper, we present the SWAMP view, architecture, pilots and the scenario-based development process adopted in the project.
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    Artigo 355 Citação(ões) na Scopus
    Smart water management platform: IoT-based precision irrigation for agriculture
    (2019) Kamienski C.; Soininen J.-P.; Taumberger M.; Dantas R.; Toscano A.; Cinotti T.S.; Maia R.F.; Neto A.T.
    © 2019 by the authors. Licensee MDPI, Basel, Switzerland.The smart management of freshwater for precision irrigation in agriculture is essential for increasing crop yield and decreasing costs, while contributing to environmental sustainability. The intense use of technologies offers a means for providing the exact amount of water needed by plants. The Internet of Things (IoT) is the natural choice for smart water management applications, even though the integration of different technologies required for making it work seamlessly in practice is still not fully accomplished. The SWAMP project develops an IoT-based smart water management platform for precision irrigation in agriculture with a hands-on approach based on four pilots in Brazil and Europe. This paper presents the SWAMP architecture, platform, and system deployments that highlight the replicability of the platform, and, as scalability is a major concern for IoT applications, it includes a performance analysis of FIWARE components used in the Platform. Results show that it is able to provide adequate performance for the SWAMP pilots, but requires specially designed configurations and the re-engineering of some components to provide higher scalability using less computational resources.