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How can we develop an automated, embedded, networked IT-based solution with complete monitoring and guidance system by benefiting from the sensing and acting technologies to coordinate among all the stakeholders and decision makers?
In most cases, embedded networked computers control and monitor physical resources (i.e., sensors), usually with feedback loops, where the physical resources are strongly coupled and interact with the computational resources.
For the symbiosis of humans and machines, various kinds of sensing devices will be either implicitly or explicitly embedded, networked, and cooperatively function in our future living environment [1 3].
Wang et al. [Intergrated Coverage and Connectivity Configuration in Wireless Sensor Networks, in: Proceedings of the First ACM Conference on Embedded Networked Sensor Systems (SenSys 2003), Los Angeles, November 2003] and Zhang and Hou [Maintaining Sensing Coverage and Connectivity in Large Sensor Networks.
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However, the dynamic topology, embedded redundancy, and embedded user dynamic demand of mobile embedded network [5] makes the limited network resources cannot satisfy the requirements of embedded users.
In this paper, we present our methodology for embedded network applications.
With the integration, live video content can easily be embedded networks hosted by Ning, allowing users to broadcast via Ustream.
The minimally resourced design is therefore suited to embedded network applications from both economic and performance standpoints.
In embedded network applications, typically a very large part of the area cost is due to memory units.
On the other hand, embedded network implementations, such as InfiniBand, can move much of the communication work to the embedded architecture.
All in all, Twitter offers a publicly available, comprehensive and in large parts spatially embedded network dataset, which can be of great value for researchers [45].
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