The National Science Foundation has announced the formation of the Institute for Civil Infrastructure Systems (ICIS). The effort, which involves New York University, Cornell University, Polytechnic University of New York, and the University of Southern California, links professional activities related to what Richard E. Schuler, director of the Cornell Institute of Public Affairs, calls a fragmented industry. "The institute will link engineering and the applied social sciences to develop better solutions for the myriad of infrastructure problems facing the nation," Schuler adds. Institute projects include: expanded use of Geographical Information Systems (GIS) by the electric, gas, and water utility industries, workshops and white papers on improved public and private cooperation, use of art to develop community participation in local projects, telecommunications to educate K-6 graders about the infrastructure, and programs to reduce the institutional barrier to new technology. E-mail bpf2@. edu.
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.