Louisiana State University (LSU) professors Supratik Mukhopadhyay and S.S. Iyengar have developed software that can monitor systems and use the data it collects to make decisions on what to do next. The software can sift through massive amounts of data to detect a complex event or pattern. Iyengar says a complex event might involve multiple events that take place over time, with the software comparing the current circumstances to events in the past. Each time the network takes an action, it reevaluates the situation to make the next decision. Iyengar says the software learns quickly, which makes the system as efficient as possible. The researchers’ goal is to embed the software in a computer chip so that customers can take the chip and develop their own interface. They say the system could be adapted for use in many applications, such as military procedures, golf course sprinkler systems, and the electrical power grid.
View Full Article
For More Information Visit: http://www.cpccci.com

Clear and simple visualizations of biomechanical data could improve rehabilitation after a stroke, accelerate the recovery from joint replacements, and prevent older people from falling, according to United Kingdom researchers. University of Strathclyde professor Philip Rowe is leading an initiative to develop bespoke software for capturing biomechanical data and presenting it in a way that would assist health care professionals in their effort to communicate movement information to patients. Currently, movement information is only available in graphical, tabular, or numerical form. The software would work with Strathclyde’s specialist motion analysis system and portable motion sensors. “By using animation, we can enable patients to visualize a movement, and how it affects their body,” Rowe says.
View Full Article
For More Information Visit: http://www.cpccci.com