Allan Sadowski wants to use jpg files to catch criminals. That's why the Technology Officer for the North Carolina State Highway Patrol contacted Hamid Krim, an associate professor of electrical and computer engineering at North Carolina State University. "Sadowski said it took six to ten minutes to download jpg images of mug shots," says Krim. "Now, we are doing it in seconds." Krim and graduate student Gozde Bozkurt-Unal must work within the 10-byte capacity of the existing wireless data transmission system to develop compression algorithms that speed downloads of jpg files to police and FBI laptops. How does he do it? Krim points out that faces have many features in common. Removal of the redundant ones speeds the transmission of a jpg file that may be accessed by up to 4,000 law enforcement officers at one time in North Carolina alone. "It's not like we were trying to win any prizes with the images," says Krim. "We're just trying to help the police know quickly whether or not they are dealing with a criminal." For more information, visit www.ncsu.edu or e-mail Krim at firstname.lastname@example.org.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.