Tag Archives: algorithm

Researchers Boost Efficiency of Multi-Hop Wireless Networks

Multi-hop wireless networks can provide data access for large and unconventional spaces, but they have long faced significant limits on the amount of data they can transmit. Now researchers from North Carolina State University have developed a more efficient data transmission approach that can boost the amount of data the networks can transmit by 20 to 80 percent.

“Our approach increases the average amount of data that can be transmitted within the network by at least 20 percent for networks with randomly placed nodes – and up to 80 percent if the nodes are positioned in clusters within the network,” says Dr. Rudra Dutta, an associate professor of computer science at NC State and co-author of a paper on the research. The approach also makes the network more energy efficient, which can extend the lifetime of the network if the nodes are battery-powered. (more…)

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Researchers Discover Potential Key To Lowering Energy Costs of Cell Phones and Data Centers

AUSTIN, Texas — A systematic analysis of power usage in microprocessors could help lower the energy consumption of both small cellphones and giant data centers, report computer science professors from The University of Texas at Austin and the Australian National University.

Their results may point the way to how companies such as Google, Apple, Intel and Microsoft can make software and hardware that will lower the energy costs of very small and very large devices. (more…)

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Preventing Problems: Georgia Tech Helps to Develop System That Will Detect Insider Threats from Massive Data Sets

When a soldier in good mental health becomes homicidal or a government employee abuses access privileges to share classified information, we often wonder why no one saw it coming. When looking through the evidence after the fact, a trail often exists that, had it been noticed, could have possibly provided enough time to intervene and prevent an incident.

With support from the Defense Advanced Research Projects Agency (DARPA) and the Army Research Office, researchers at the Georgia Institute of Technology are collaborating with scientists from four other organizations to develop new approaches for identifying these “insider threats” before an incident occurs. The two-year, $9 million project will create a suite of algorithms that can detect multiple types of insider threats by analyzing massive amounts of data — including email, text messages and file transfers — for unusual activity. (more…)

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Fighting Violent Gang Crime with Math

UCLA mathematicians working with the Los Angeles Police Department to analyze crime patterns have designed a mathematical algorithm to identify street gangs involved in unsolved violent crimes. Their research is based on patterns of known criminal activity between gangs, and represents the first scholarly study of gang violence of its kind.

The research appears today on the website of the peer-reviewed mathematical journal Inverse Problems and will be published in a future print edition. (more…)

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Can Scientists Look at Next Year’s Climate?

Is it possible to make valid climate predictions that go beyond weeks, months, even a year? UCLA atmospheric scientists report they have now made long-term climate forecasts that are among the best ever — predicting climate up to 16 months in advance, nearly twice the length of time previously achieved by climate scientists.

Forecasts of climate are much more general than short-term weather forecasts; they do not predict precise temperatures in specific cities, but they still may have major implications for agriculture, industry and the economy, said Michael Ghil, a distinguished professor of climate dynamics in the UCLA Department of Atmospheric and Oceanic Sciences and senior author of the research. (more…)

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Go Figure: Math Model May Help Researchers with Stem Cell, Cancer Therapies

GAINESVILLE, Fla. — The difficult task of sorting and counting prized stem cells and their cancer-causing cousins has long frustrated scientists looking for new ways to help people who have progressive diseases.

But in a development likely to delight math teachers, University of Florida researchers have devised a series of mathematical steps that accomplishes what the most powerful microscopes, high-throughput screening systems and protein assays have failed to do — assess how rapidly stem cells and their malignant, stemlike alter egos increase their numbers. (more…)

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