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 a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
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.