A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
When a distributed robotic system is assigned to perform reconnaissance or surveillance, restrictions inherent to the design of an individual robot limit the system’s performanc...
Andrew Drenner, Ian T. Burt, Tom Dahlin, Bradley K...
Although cryptographic algorithms are designed to resist at least thousands of years of cryptoanalysis, implementing them with either software or hardware usually leaks additional...
Embedded application requirements, including high performance, low power consumption and fast time to market, are uncommon in the broader domain of general purpose applications. I...