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Medvedev, et al., “Waste management as an IoTenabledservice in smartcities,” in Proceedings of the Lecture Notesin Computer Science Internet of Things, Smart Spaces, and Next Generation Networks and Systems, Petersburg, Russia, 26–28 August 2015, pp. 104–115" }, { "path": "references.10.doi", "from": null, "to": "10.1145/3283458.3283470" }, { "path": "references.10.key", "from": null, "to": "ref11" }, { "path": "references.10.unstructured", "from": null, "to": "J. Aneke, et al., “A low-cost flexible IoT system support-ing elderly’s healthcare in rural villages,” in Conference for Human Computer Interaction on Thriving Communities, Windhoek, Namibia, 2018, Vol. 18, pp. 1–4" }, { "path": "references.11.doi", "from": null, "to": "10.1109/mcom.2017.1600425cm" }, { "path": "references.11.key", "from": null, "to": "ref12" }, { "path": "references.11.unstructured", "from": null, "to": "G. Muhammad, S. M. M. Rahman, A. Alelaiwi, and A. 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Raut, “IoT based waste col-lection management system for smart cities: An overview,”ICCMC, pp. 802–805, Mar. 2019" }, { "path": "references.14.key", "from": null, "to": "ref15" }, { "path": "references.14.unstructured", "from": null, "to": "S. R. Gupta, and R. T. Karadbhajne. “Design and imple- mentation of iot based health monitoring system using raspberry PI,” 2019" }, { "path": "references.15.doi", "from": null, "to": "10.1109/tla.2022.9661473" }, { "path": "references.15.key", "from": null, "to": "ref16" }, { "path": "references.15.unstructured", "from": null, "to": "F. Ulloa-Vásquez, L. Garcia-Santander, D. Carrizo, and V.Heredia-Figueroa, “Intelligent electrical pattern recogni- tion of appliances consumption for home energy man- agement using high resolution measurement,” IEEE LatinAm. Trans., Vol. 20, no. 2, pp. 326–334, Feb. 2022. 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Verma, “AIEMLA: artificial intel- ligence enabled machine learning approach for routing attacks on internet of things.” J Supercomput., Vol. 77, no.12, pp. 13757–13787, 2021" }, { "path": "references.18.doi", "from": null, "to": "10.1177/1550147719835098" }, { "path": "references.18.key", "from": null, "to": "ref19" }, { "path": "references.18.unstructured", "from": null, "to": "V. K. Verma, K. Ntalianis, C. M. Moreno, and C.-T. Yang,“Next-generation internet of things and cloud securitysolutions,” Int. J. Distrib. Sens. Netw., Vol. 15, no. 3, 2019. DOI:10.1177/1550147719835098 DOI:https://doi.org/10.46243/jst.2024.v9.i4.pp96-10282 P. Saravana Kumar, L. 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It assesses the design and implementation of a smart city based on the Internet of Thingsusing Raspberry Pi. The main aim is to develop an urban IoT system that will aid in the realizationof a smart city while also resolving domestic issues using Raspberry Pi. Raspberry Pi is an essential component of the smart city model’s implemented system. The concept of the IoT helps analyze the functions used to define the functions of Raspberry Pi. By considering the developing country such as India, IoT plays an essential role in building a smart city model. 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DOI:10.3390/s18114015" }, { "key": "ref14", "doi": "10.1109/iccmc.2019.8819776", "unstructured": "M. S. Chaudhari, B. Patil, and V. Raut, “IoT based waste col-lection management system for smart cities: An overview,”ICCMC, pp. 802–805, Mar. 2019" }, { "key": "ref15", "unstructured": "S. R. Gupta, and R. T. Karadbhajne. “Design and imple- mentation of iot based health monitoring system using raspberry PI,” 2019" }, { "key": "ref16", "doi": "10.1109/tla.2022.9661473", "unstructured": "F. Ulloa-Vásquez, L. Garcia-Santander, D. Carrizo, and V.Heredia-Figueroa, “Intelligent electrical pattern recogni- tion of appliances consumption for home energy man- agement using high resolution measurement,” IEEE LatinAm. Trans., Vol. 20, no. 2, pp. 326–334, Feb. 2022. DOI:10.1109/TLA.2022.9661473" }, { "key": "ref17", "doi": "10.1109/lgrs.2021.3113662", "unstructured": "Y. Jiang, et al., “Non-watertight polygonal surface recon-struction from building point cloud via connection and data fit,” Geosci. Remote Sens. Lett., Vol. 19, pp. 1–5, 2022" }, { "key": "ref18", "doi": "10.1007/s11227-021-03833-1", "unstructured": "S. Sharma, and V. K. Verma, “AIEMLA: artificial intel- ligence enabled machine learning approach for routing attacks on internet of things.” J Supercomput., Vol. 77, no.12, pp. 13757–13787, 2021" }, { "key": "ref19", "doi": "10.1177/1550147719835098", "unstructured": "V. K. Verma, K. Ntalianis, C. M. Moreno, and C.-T. Yang,“Next-generation internet of things and cloud securitysolutions,” Int. J. Distrib. Sens. Netw., Vol. 15, no. 3, 2019. DOI:10.1177/1550147719835098 DOI:https://doi.org/10.46243/jst.2024.v9.i4.pp96-10282 P. Saravana Kumar, L. SaiPrathyusha, N.Abhinaya, P.NeelimaSai: City Guard: Raspberry Pi 4 Driven Accident Surveillance System with MEMS, GPS, GSM, and Integrated Applications" }, { "key": "ref20", "doi": "10.1109/jproc.2018.2812212", "unstructured": "M. Masera, E. F. Bompard, F. Profumo, and N. 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DOI:10.1109/JPROC.2018.281 2212" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-08-29", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "url_after": "https://www.jst.org.in/index.php/pub/article/view/66", "sha256_before": null, "sha256_after": "04f01bca974242bd7daeee2c79828447fec14c7c21ca86ff5d967546f324dba3" }, { "seq": 2, "kind": "update", "at": "2026-09-29 23:59:52", "by": "Administrator (admin)", "by_kind": "user", "note": "record re-read from api.crossref.org", "changes": [ { "path": "container.titles.0.value", "from": "Journal of Science & Technology", "to": "Journal of Science & Technology" } ], "record_after": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2024.v9.i4.pp96-102", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "City Guard: Raspberry Pi 4 Driven Accident Surveillance System with MEMS, GPS, GSM, and Integrated Applications", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2024.v9.i4.pp96-102" } ], "agents": [ { "role": "author", "name": { "given": "", "family": "P.SaravanaKumar" }, "sequence": "first" }, { "role": "author", "name": { "given": "", "family": "L.SaiPrathyusha" }, "sequence": "additional" }, { "role": "author", "name": { "given": "", "family": "]N.Abhinaya" }, "sequence": "additional" }, { "role": "author", "name": { "given": "", "family": "P.NeelimaSai" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2024-04-16", "date_type": "PublicationDate", "online": "2024-04-16" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "09", "issue": "04", "pages": { "first": "96", "last": "102" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/66", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/66/57", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/66/1340", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://jst.org.in/index.php/pub/article/view/66/57", "purpose": "similarity-checking" } ], "abstract": { "value": "This study is focused on the concept of the Internet of Things (IoT)-based smart city model on Rasp- berry Pi. It assesses the design and implementation of a smart city based on the Internet of Thingsusing Raspberry Pi. The main aim is to develop an urban IoT system that will aid in the realizationof a smart city while also resolving domestic issues using Raspberry Pi. Raspberry Pi is an essential component of the smart city model’s implemented system. The concept of the IoT helps analyze the functions used to define the functions of Raspberry Pi. By considering the developing country such as India, IoT plays an essential role in building a smart city model. In this work, the different low-cost operations have been analyzed based on the functions of Raspberry Pi for the smart city model", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2024-04-16", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1109/jiot.2017.2724845", "unstructured": "Tohe, et al, “Multitier fog computing with largescale IoTdata analytics for smart cities,” IEEE Internet Things J., Vol.5, no. 2, pp. 677–686, 2017" }, { "key": "ref2", "doi": "10.1007/978-3-319-23126-6_10", "unstructured": "A. Medvedev, et al., “Waste management as an IoTenabledservice in smartcities,” in Proceedings of the Lecture Notesin Computer Science Internet of Things, Smart Spaces, and Next Generation Networks and Systems, Petersburg, Russia, 26–28 August 2015, pp. 104–115" }, { "key": "ref3", "doi": "10.1016/j.jtte.2019.10.002", "unstructured": "S. 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