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Real-time Data Acquisition, Transmis...

Agarwal, Piyush K.

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Real-time Data Acquisition, Transmission and Archival Framework.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Real-time Data Acquisition, Transmission and Archival Framework./
作者:	Agarwal, Piyush K.
面頁冊數:	114 p.
附註:	Source: Masters Abstracts International, Volume: 49-05, page: 3279.
Contained By:	Masters Abstracts International49-05.
標題:	Engineering, Computer. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1490540
ISBN:	9781124555904

Real-time Data Acquisition, Transmission and Archival Framework.
Agarwal, Piyush K.

Real-time Data Acquisition, Transmission and Archival Framework. - 114 p.

Source: Masters Abstracts International, Volume: 49-05, page: 3279.

Thesis (M.S.)--Rochester Institute of Technology, 2011.

Most human actions are a direct response to stimuli from their five senses. In the past few decades there has been a growing interest in capturing and storing the information that is obtained from the senses using analog and digital sensors. By storing this data it is possible to further analyze and better understand human perception. While many devices have been created for capturing and storing data, existing software and hardware architectures are aimed towards specialized devices and require expensive high-performance systems. This thesis aims to create a framework that supports capture and monitoring of a variety of sensors and can be scaled to run on low and high-performance systems such as netbooks, laptops and desktop systems.

ISBN: 9781124555904Subjects--Topical Terms:

1669061
Engineering, Computer.

Real-time Data Acquisition, Transmission and Archival Framework.
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520 $a Most human actions are a direct response to stimuli from their five senses. In the past few decades there has been a growing interest in capturing and storing the information that is obtained from the senses using analog and digital sensors. By storing this data it is possible to further analyze and better understand human perception. While many devices have been created for capturing and storing data, existing software and hardware architectures are aimed towards specialized devices and require expensive high-performance systems. This thesis aims to create a framework that supports capture and monitoring of a variety of sensors and can be scaled to run on low and high-performance systems such as netbooks, laptops and desktop systems.
520 $a The proposed architecture was tested using aural and visual sensors due to their availability and higher bandwidth requirements compared to other sensors. Four different portable computing devices were used for testing with a varied set of hardware capabilities. On each of the systems the same suite of tests were run to benchmark and analyze CPU, memory, network, and storage usage statistics. From the results it was shown that on all of these platforms capturing data from multiple video, audio and other sensor sources was possible in real-time. Performance was shown to scale based on several factors, but the most important were CPU architecture, network topology and data interfaces used.
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