Abstract. In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on it...
While wireless sensor networks are proving to be a versatile tool, many of the applications in which they are implemented have sensitive data. In other words, security is crucial ...
Mary Mathews, Min Song, Sachin Shetty, Rick McKenz...
A significant fraction of the total power in highly synchronous systems is dissipated over clock networks. Hence, low-power clocking schemes would be promising approaches for futu...
Matthew Cooke, Hamid Mahmoodi-Meimand, Kaushik Roy
For data-collection applications in sensor networks, it is important to ensure all data sources have equal (or weighted) access to network bandwidth so that the base stations rece...
We have developed an application-driven methodology for implementing parallel and heterogeneous programmable platforms. We deploy our flow for network access platforms where we h...