Framework iMercur: Processamento Contextual Direcionadas ao Usuário Final na Ciência de Situação dos Artefatos do SANEP
Resumo
Este trabalho tem como objetivo o desenvolvimento do framework iMercur, o qual visa contribuir com os serviços de Ciência de Contexto e Situação utilizados para inferir o estado dos diferentes artefatos utilizados no saneamento básico no município de Pelotas. A concepção do iMercur incorpora uma arquitetura de mensageria para integrar diferentes plataformas de computação científica no serviço de processamento de Contexto e Situação. Assim, ao utilizar o iMercur, os usuários finais podem criar regras para processamento contextual, associá-las a um conjunto de sensores e instanciá-las no hardware mais oportuno para o seu processamento. Para avaliação do iMercur junto à comunidade usuária foi utilizado o Modelo TAM. Os resultados alcançados são promissores e apontam para a continuidade da pesquisa.
Referências
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de Souza, R. S., Barbará Lopes, J. L., Resin Geyer, C. F., da Rosa Silveira João, L., Afonso Cardozo, A., Corrêa Yamin, A., Gadotti, G. I., and Victoria Barbosa, J. L. (2019). Continuous monitoring seed testing equipaments using internet of things. Computers and Electronics in Agriculture, 158:122 – 132.
DeVellis, R. F. (2016). Scale development: Theory and applications, volume 26. Sage publications.
Enu-Kwesi, F. and Opoku, M. (2020). Relevance of the technology acceptance model (tam) in information management research: a review of selected empirical evidence. Pressacademia, 7:34–44.
Hu, S., Gao, J., Zhong, D., Deng, L., Ou, C., and Xin, P. (2021). An innovative hourly water demand forecasting preprocessing framework with local outlier correction and adaptive decomposition techniques. Water, 13(5).
Knappmeyer, M., Kiani, S. L., Reetz, E. S., Baker, N., and Tonjes, R. (2013). Survey of Context Provisioning Middleware. IEEE Communications Surveys & Tutorials, 15(3):1492–1519.
Lopes, J. L. B. (2016). Uma arquitetura para provimento de ciência de situação direcionada às aplicações ubíquas na infraestrutura da internet das coisas.
Nie, X., Fan, T., Wang, B., Li, Z., Shankar, A., and Manickam, A. (2020). Big data analytics and iot in operation safety management in under water management. Computer Communications, 154:188–196.
Qaisar Alvi, M. S., Mahmood, I., Javed, F., Malik, A. W., and Sarjoughian, H. (2018). Dynamic behavioural modeling, simulation and analysis of household water consumption in an urban area: a hybrid approach. In 2018 Winter Simulation Conference (WSC), pages 2411–2422.
Qiu, T., Chen, N., Li, K., Atiquzzaman, M., and Zhao, W. (2018). How can heterogeneous internet of things build our future: A survey. IEEE Communications Surveys & Tutorials, 20(3):2011–2027.
Rahmani, A. M., Bayramov, S., and Kiani Kalejahi, B. (2022). Internet of things applications: opportunities and threats. Wireless Personal Communications, 122(1):451–476.
South, L., Saffo, D., Vitek, O., Dunne, C., and Borkin, M. A. (2022). Effective use of likert scales in visualization evaluations: a systematic review. In Computer Graphics Forum, volume 41, pages 43–55. Wiley Online Library.
Streiner, D. L. (2003). Starting at the beginning: an introduction to coefficient alpha and internal consistency. Journal of personality assessment, 80(1):99–103.
Temdee, P. and Prasad, R. (2018). Context-Aware Communication and Computing: Applications for Smart Environment. Number 1 in Springer Series in Wireless Technology. Springer International Publishing, Switzerland.
Capt, T., Mirchi, A., Kumar, S., and Walker, W. S. (2021). Urban water demand: Statistical optimization approach to modeling daily demand. Journal of Water Resources Planning and Management, 147(2):04020105.
de Souza, R. S., Barbará Lopes, J. L., Resin Geyer, C. F., da Rosa Silveira João, L., Afonso Cardozo, A., Corrêa Yamin, A., Gadotti, G. I., and Victoria Barbosa, J. L. (2019). Continuous monitoring seed testing equipaments using internet of things. Computers and Electronics in Agriculture, 158:122 – 132.
DeVellis, R. F. (2016). Scale development: Theory and applications, volume 26. Sage publications.
Enu-Kwesi, F. and Opoku, M. (2020). Relevance of the technology acceptance model (tam) in information management research: a review of selected empirical evidence. Pressacademia, 7:34–44.
Hu, S., Gao, J., Zhong, D., Deng, L., Ou, C., and Xin, P. (2021). An innovative hourly water demand forecasting preprocessing framework with local outlier correction and adaptive decomposition techniques. Water, 13(5).
Knappmeyer, M., Kiani, S. L., Reetz, E. S., Baker, N., and Tonjes, R. (2013). Survey of Context Provisioning Middleware. IEEE Communications Surveys & Tutorials, 15(3):1492–1519.
Lopes, J. L. B. (2016). Uma arquitetura para provimento de ciência de situação direcionada às aplicações ubíquas na infraestrutura da internet das coisas.
Nie, X., Fan, T., Wang, B., Li, Z., Shankar, A., and Manickam, A. (2020). Big data analytics and iot in operation safety management in under water management. Computer Communications, 154:188–196.
Qaisar Alvi, M. S., Mahmood, I., Javed, F., Malik, A. W., and Sarjoughian, H. (2018). Dynamic behavioural modeling, simulation and analysis of household water consumption in an urban area: a hybrid approach. In 2018 Winter Simulation Conference (WSC), pages 2411–2422.
Qiu, T., Chen, N., Li, K., Atiquzzaman, M., and Zhao, W. (2018). How can heterogeneous internet of things build our future: A survey. IEEE Communications Surveys & Tutorials, 20(3):2011–2027.
Rahmani, A. M., Bayramov, S., and Kiani Kalejahi, B. (2022). Internet of things applications: opportunities and threats. Wireless Personal Communications, 122(1):451–476.
South, L., Saffo, D., Vitek, O., Dunne, C., and Borkin, M. A. (2022). Effective use of likert scales in visualization evaluations: a systematic review. In Computer Graphics Forum, volume 41, pages 43–55. Wiley Online Library.
Streiner, D. L. (2003). Starting at the beginning: an introduction to coefficient alpha and internal consistency. Journal of personality assessment, 80(1):99–103.
Temdee, P. and Prasad, R. (2018). Context-Aware Communication and Computing: Applications for Smart Environment. Number 1 in Springer Series in Wireless Technology. Springer International Publishing, Switzerland.
Publicado
06/08/2023
Como Citar
RATUCHENEI, Victor; ZIMPECK, Alexandra; LOPES, João; REISER, Renata; MOTA, Fernanda; YAMIN, Adenauer.
Framework iMercur: Processamento Contextual Direcionadas ao Usuário Final na Ciência de Situação dos Artefatos do SANEP. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 15. , 2023, João Pessoa/PB.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 81-90.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2023.230853.
