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DC Field | Value | Language |
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dc.contributor.author | SHARMA, SUHANI | - |
dc.date.accessioned | 2019-09-04T06:21:52Z | - |
dc.date.available | 2019-09-04T06:21:52Z | - |
dc.date.issued | 2018-06 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/16336 | - |
dc.description.abstract | The efficiency of any ITS depends upon two crucial aspects- To gather the information from multiple-hop- event-driven nodes and to store it in a way that the database extracts relevant information in a time bounded manner. In my research work, I was able to find out the various connectivity glitches that led to ITS not performing relevant actions as and when required. I broke down my work into three modules viz-a-viz data collection, data processing and data storage. By doing this I was able to focus on the different levels of working of a smart transportation and find out the glitches. In my work, the functions follow as follows; first the data is gathered from the sensors using a dedicated server-client connection, then the data is processed in a way that the system doesn't stop working even if data is not available for a while due to loss in connectivity and then stored in a way that it can be accessed using keywords. This will lead to less dependence on technically skilled workforce and help the unskilled workers to secure jobs. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-4228; | - |
dc.subject | DATA COLLECTION | en_US |
dc.subject | PROCESSING FRAMEWORK | en_US |
dc.subject | SMART TRANSPORTATION | en_US |
dc.subject | LOT | en_US |
dc.title | DATA COLLECTION AND PROCESSING FRAMEWORK FOR SMART TRANSPORTATION BASED ON LOT | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
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2K16CSE16.pdf | 1.41 MB | Adobe PDF | View/Open |
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