Machine-to-machine communication for automatic retrieval of scientific data

Indiana University-Purdue University Indianapolis (IUPUI) === With the increasing need for accurate weather predictions, we need large samples of data from different data sources for an accurate estimate. There are a number of data sources that keep publishing data periodically. These data sources h...

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Bibliographic Details
Main Author:	Gangaraju, SricharanLochan
Other Authors:	Liang, Yao
Language:	en_US
Published:	2016
Subjects:	Data Model for Weather Data Machine-to-Machine Communication
Online Access:	http://hdl.handle.net/1805/10820

id	ndltd-IUPUI-oai-scholarworks.iupui.edu-1805-10820
record_format	oai_dc
spelling	ndltd-IUPUI-oai-scholarworks.iupui.edu-1805-108202019-05-10T15:21:40Z Machine-to-machine communication for automatic retrieval of scientific data Gangaraju, SricharanLochan Liang, Yao Raje, Rajeev R. Zou, Xukai Fang, Shiaofen Data Model for Weather Data Machine-to-Machine Communication Indiana University-Purdue University Indianapolis (IUPUI) With the increasing need for accurate weather predictions, we need large samples of data from different data sources for an accurate estimate. There are a number of data sources that keep publishing data periodically. These data sources have their own server protocols that a user needs to follow while writing client for retrieving data. This project aims at creating a generic semi-automatic client mechanism for retrieving scientific data from such sources. Also, with the increasing number of data sources there is also a need for a data model to accommodate data that is published in different formats. We have come up with a data model that can be used across various applications in the domain of scientific data retrieval. 2016-08-31T20:39:35Z 2016-08-31T20:39:35Z 2016-03 Thesis http://hdl.handle.net/1805/10820 10.7912/C26W21 en_US
collection	NDLTD
language	en_US
sources	NDLTD
topic	Data Model for Weather Data Machine-to-Machine Communication
spellingShingle	Data Model for Weather Data Machine-to-Machine Communication Gangaraju, SricharanLochan Machine-to-machine communication for automatic retrieval of scientific data
description	Indiana University-Purdue University Indianapolis (IUPUI) === With the increasing need for accurate weather predictions, we need large samples of data from different data sources for an accurate estimate. There are a number of data sources that keep publishing data periodically. These data sources have their own server protocols that a user needs to follow while writing client for retrieving data. This project aims at creating a generic semi-automatic client mechanism for retrieving scientific data from such sources. Also, with the increasing number of data sources there is also a need for a data model to accommodate data that is published in different formats. We have come up with a data model that can be used across various applications in the domain of scientific data retrieval.
author2	Liang, Yao
author_facet	Liang, Yao Gangaraju, SricharanLochan
author	Gangaraju, SricharanLochan
author_sort	Gangaraju, SricharanLochan
title	Machine-to-machine communication for automatic retrieval of scientific data
title_short	Machine-to-machine communication for automatic retrieval of scientific data
title_full	Machine-to-machine communication for automatic retrieval of scientific data
title_fullStr	Machine-to-machine communication for automatic retrieval of scientific data
title_full_unstemmed	Machine-to-machine communication for automatic retrieval of scientific data
title_sort	machine-to-machine communication for automatic retrieval of scientific data
publishDate	2016
url	http://hdl.handle.net/1805/10820
work_keys_str_mv	AT gangarajusricharanlochan machinetomachinecommunicationforautomaticretrievalofscientificdata
_version_	1719080038849052672

Machine-to-machine communication for automatic retrieval of scientific data

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