Abstract
Recently, with the advancement in computation technology, ubiquitous computing paradigms like Intelligent Spaces are not only gaining popularity but are also slowly getting into the price range of average households. However, while many everyday devices and services can be accessed and afforded by middle class families, smart refrigerators are still too expensive, even though they can be very useful to aid the economics and budgeting of the household. In this paper, an affordable smart refrigerator framework is proposed that can be implemented by using cheap, easily accessible devices to augment older, regular refrigerator models, integrating the core functionalities that many expensive models have, for a much lower cost.
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López, G., Quesada, L., Guerrero, L.A.: Alexa vs. Siri vs. Cortana vs. Google Assistant: a comparison of speech-based natural user interfaces. In: Nunes I. (eds.) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592, pp. 241–250. Springer, Cham (2018)
Shadangi, V., Jain, N.: Medical internet refrigerator. In: International Conference on Control, Instrumentation, Communicational Technologies, pp. 363–366 (2015)
Pescosolido, L., Berta, R., Scalise, L., Revel, G.M., De Gloria, A., Orlandi, G.: An IoT-inspired cloud-based web service architecture for e-health applications. In: IEEE International Smart Cities Conference, pp. 1–4 (2016)
Luo, S., Jin, J.S., Li, J.: A Smart fridge with an ability to enhance health and enable better nutrition. In: Int. J. Multimed. Ubiquitous Eng. 69–76 (2009)
Rouillard, J.: The pervasive fridge. A smart computer system against uneaten food loss. In: 7th International Conference on Systems, pp. 135–140 (2012)
Wu., H.-H., Chuang, Y.-T.: Low-cost smart refrigerator. In: 1st International Conference on Edge Computing, pp. 228–231 (2017)
Edward, M., Karyono, K., Meidia, H.: Smart fridge design using NodeMCU and home server based on Raspberry Pi 3. In: 4th International Conference on New Media Studies, pp. 1–4 (2017)
Gay, W.W.: Raspberry Pi Hardware Reference (2014). https://doi.org/10.1007/978-1-4842-0799-4
Hashimoto, H.: Intelligent space: interaction and intelligence. In: Artificial Life and Robotics, vol. 7, no. 3, pp. 79–85 (2003)
Várkonyi-Kóczy, A.R., Tusor, B., Tóth, J.T.: A multi-attribute classification method to solve the problem of dimensionality. In: Advances in Intelligent Systems and Computing, vol. 519, pp. 403–410. Springer, Heidelberg (2017)
Tusor, B., Várkonyi-Kóczy, A.R., Tóth, J.T.: A fuzzy data structure for variable length data and missing value classification. In: Recent Advances in Technology Research and Education. Advances in Intelligent Systems and Computing, vol. 660, pp. 297–304. Springer, Heidelberg (2017)
Tusor, B., Simon-Nagy, G., Várkonyi-Kóczy, A.R., Tóth, J.T.: Personalized dietary assistant-an intelligent space application. In: 21st IEEE International Conference on Intelligent Engineering Systems (INES 2017), pp. 27–32 (2017)
Tusor, B., Várkonyi-Kóczy, A.R., Bukor, J.: An iSpace-based dietary advisor. In: 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1–6 (2018)
Cass, S.: Taking AI to the edge: Google’s TPU now comes in a maker-friendly package. IEEE Spectr. 56(5), 16–17 (2019)
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The publication was prepared with the financial support of Pallas Athéné Domus Educationis Foundation, project number: PADE-0117-5.
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Tusor, B., Gubo, Š., Kmeť, T., Tóth, J.T. (2020). Augmented Smart Refrigerator—An Intelligent Space Application. In: Várkonyi-Kóczy, A. (eds) Engineering for Sustainable Future. INTER-ACADEMIA 2019. Lecture Notes in Networks and Systems, vol 101. Springer, Cham. https://doi.org/10.1007/978-3-030-36841-8_17
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DOI: https://doi.org/10.1007/978-3-030-36841-8_17
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