Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/453801
Title: Developing Smart City Model Based on Internet of Things
Researcher: Rai, Divyarth
Guide(s): Phulre, Sunil
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
University: LNCT University
Completed Date: 2022
Abstract: A smart city utilizes the information and communication technology to make efficient newlineconsumption of limited resources like space, mobility, energy, etc. The recent developments on newlineInternet of Things (IoT) for smart city applications have been conducted; Yet a new concept of newlineIoT integrated smart city vision has to be proposed to include a combination of systems like newlinenoise and air impairments monitoring, web monitoring and fire detection systems, smart waste newlinebin systems, etc., which have not been clearly addressed in the previous researches. This thesis newlinefocuses on developing an effective system for Air and Noise impairments Monitoring/Control newlineSystem, Speed and web monitoring system, Temperature and weather Monitoring System, Fire newlineDetecting System, Smart Waste-bin management System, Geographic information system for newlinesmart city innovation with digitalized software for fast and effective implementations using IoT. newlineIn the proposed system, every time the collected readings for a certain parameter increase the newlinerisk zone. A real time analysis have been done on the data collected by different sensors to detect newlinethe exact status of the factors. The proposed work have been validated on a real time case study. newline
Pagination: 
URI: http://hdl.handle.net/10603/453801
Appears in Departments:Department of Computer Science and Engineering

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01_title.pdfAttached File78.98 kBAdobe PDFView/Open
02_certificate.pdf11.21 kBAdobe PDFView/Open
03_declaration.pdf12.23 kBAdobe PDFView/Open
04_chapter 1.pdf222.23 kBAdobe PDFView/Open
05_chapter 2.pdf223.85 kBAdobe PDFView/Open
06_chapter 3.pdf692.48 kBAdobe PDFView/Open
07_chapter 4.pdf927.93 kBAdobe PDFView/Open
08_chapter 5.pdf50.47 kBAdobe PDFView/Open
12_ content and index.pdf464.98 kBAdobe PDFView/Open
14_acknowledgements.pdf9.55 kBAdobe PDFView/Open
80_recommendation.pdf126.2 kBAdobe PDFView/Open
abstract.pdf7.53 kBAdobe PDFView/Open
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