Engineering equations apply to much more than just engineering. Registered civil engineer and former Boeing structural engineer, Patricia Kramer, took equations normally used to calculate the structural integrity and placement of cargo doors on an airliner to explain the evolutionary record of early humans. "The equations can predict how much energy is required for something to move in space," says Kramer, now a University of Washington (Seattle, WA) doctoral candidate and lecturer in anthropology. "If you take them and develop models that take into account the different leg lengths for Lucy and modern humans, and calculate the different levels of energy required for each, the result is a comparison of how much energy is required for Lucy and a modern human to move at any speed." Lucy is the name of the 40%-complete skeleton of a small female Australopithecus afarensis, discovered by Donald Johanson in Ethiopia in 1974. Kramer found that Lucy and her colleagues walked through life in no more than a stroll, matching the environmental demands of the time. Call: (206) 286-6698 or e-mail: email@example.com.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
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.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.