Japanese scientists have developed a statistical program that could enable portable baby-monitoring devices to determine whether infant cries mean a baby is sleepy, hungry, needs a change, or is in pain. Tomomasa Nagashima and colleagues at the Muroran Institute of Technology used a sound pattern recognition strategy to analyze infants’ crying patterns. The team analyzed the frequency of cries and the power function of the audio spectrum to classify different types of crying. Nagashima and colleagues were able to correlate the different recorded audio spectra with the emotional state of a baby as confirmed by the parents. Recordings of a crying baby with a painful genetic disorder helped the researchers differentiate the cries of babies who are in pain. They were able to achieve a 100 percent success rate in classifying pained cries and normal cries via their technique.
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The fusion of high-performance computing (HPC) and high-performance data (HPD) could potentially result in the generation of robust systems that are at least one order of magnitude faster than anything the HPC community currently uses for certain applications, says San Diego Supercomputer Center (SDSC) interim director Michael Norman. Last November, SDSC announced plans to construct Gordon, a data-intensive supercomputer that is expected to read latency-bound files at 10 times the speed and efficiency of current HPC systems with the help of flash memory solid state drives. Ultimately, Gordon will possess 245 teraflops of total compute power, 64 TB of digital random access memory, and 256 TB of flash memory. Gordon also will assist in the integration of HPC and HPD because it is designed for data-intensive predictive science as well as data-mining applications.
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The United States is engaged in an international race to develop both cyberweapons and cyberdefenses. Thousands of daily attacks on federal and private computer systems in the United States, some malicious and some testing for weak points in the U.S.’s firewalls, have prompted the Obama administration to review the nation’s strategy. Efforts include developing a highly classified replica of the Internet of the future to simulate what would be needed for the country’s enemies to shut down power stations, telecommunications, and aviation systems. Obama is expected to propose a significantly larger cyberdefensive effort, including the expansion of a $17 billion, five-year program approved by Congress last year, as well as an end to the bureaucratic battle over who is responsible for defending the country’s cyberinfrastructure. However, Obama is not expected to discuss the U.S.’s cyberoffensive capabilities, which has been a major investment area for the nation’s intelligence agencies, as many of these cyberweapons remain classified. The White House declined to comment on whether Obama supports or opposes the use of U.S. cyberweapons. Some exotic cyberweapons under consideration would enable a military programmer to enter a computer server in Russia or China and destroy a botnet, or activate malicious code that is secretly embedded on computer chips when manufactured, enabling the U.S. to take control of an enemy’s computer system.
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Florida State University (FSU) researchers have discovered four crystals that possess properties which could lead to the development of a new generation of computer chips and other information storage devices. “We identified these four crystals as ‘multiferroic,’ meaning that they are simultaneously ferromagnetic and ferroelectric in nature when cooled to a specific temperature,” says FSU professor Naresh Dalal. Multiferroic crystals could be used to create high-powered computer memories that could hold far more information than is currently possible, says FSU professor Sir Harold Kroto. “Theoretically, it might be possible to design devices that are much smaller and faster than the ones we use today to store and transmit data,” Kroto says. The researchers say that electronic devices using multiferroic crystals would have far less environmental impact than devices used today. “The four new multiferroic crystals that we have identified all substitute other, less toxic metals for lead, which is a potent neurotoxin,” Dalal says.
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ACM has named Cornell University professor Jon Kleinberg the winner of the 2008 ACM-Infosys Foundation Award in the Computing Sciences. ACM and the Infosys Foundation created the award in 2007 to recognize personal contributions by young scientists and system developers to a contemporary innovation that exemplifies the greatest recent achievements in the computing field. Kleinberg’s models show how information is organized on the Web, how it spreads through large social networks, and how the structure of these networks leads to the six degrees of separation phenomenon. “With his innovative models and algorithms, he has broadened the scope of computer science to extend its influence to the burgeoning world of the Web and the social connections it enables,” says ACM President Dame Wendy Hall. “We are fortunate to have the benefit of his profound insights into the link between computer network structure and information that has transformed the way information is retrieved and shared online.” ACM will present Kleinberg with the ACM-Infosys Foundation Award at the annual ACM Awards Banquet on June 27 in San Diego, Calif. Financial support for the $150,000 award is provided by an endowment from the Infosys Foundation.
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Tom Mitchell, head of Carnegie Mellon University’s Machine Learning Department, says that advances in machine learning could bring about a transformation in psychology and neuroscience. Mitchell says that his group has trained an algorithm to study functional magnetic resonance imaging scans of a person’s brain activity and determine what object they are thinking about. “We can look inside your brain when you see the color red, and we can look inside my brain when I see the color red, and we can ask, ‘Is it or is it not the same pattern of neural activity?’ ” he notes. Mitchell speculates that people could conceivably be networked to exchange information so that one person can tell what the other is thinking. He observes that a number of researchers are developing brain-computer interfaces that can enable the decoding of a person’s thoughts. This could be particularly useful for “locked in” patients who are speech- and mobility-disabled.
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Vienna University of Technology researchers have developed the “deanonymization” attack as a way to reveal the identity of Internet users based on their interactions in social networks. The attack uses social networking groups as well as traditional browser history-stealing tactics to single out specific users. The researchers focused on Germany’s Xing business social network and Facebook and matched stolen browsing histories with social network group members to identify users. “It is the combination of history stealing and group information that is novel,” says Vienna University post-doctoral researcher Gilbert Wondracek. Criminals could use the deanonymization method for targeted attacks, which only requires that the victim visit a malicious Web site that contains the attack code. There is no fix for the attack, but users can turn off their browsing history or use a private-browsing mode to minimize the risk.
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University of Illinois at Urbana-Champaign professor Carole Palmer says data curation is an important part of supporting and advancing research. “This is especially important in data-intensive science, where the power of discovery lies in applying computational approaches to large, aggregated data sets,” Palmer says. She says researchers need to plan around data-management requirements from the beginning of their projects, and to think in terms of a data set’s lifecycle. The biggest hurdles to overcome in collecting, curating, and managing data over a long period of time involve cost and labor. Even with the Internet and search engines, data stored online does not last nearly as long as data preserved in print. “We’re just beginning to do the research needed to guide how we build large-scale, multidisciplinary data repositories and collect and manage data in ways that add value and promote sharing and integration across laboratories, institutions, and disciplines,” Palmer says.
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Websense researchers have developed FireShark, software that automatically monitors malicious activity on Web sites. Websense researcher Stephan Chenette says the experimental system scans the Web, identifies the source of embedded content in Web pages, and determines whether any code on a site is acting maliciously. FireShark then creates a map of interconnected Web sites and looks for potentially malicious content. FireShark, which maps nearly one million Web sites and servers per day, decodes the HTML, Javascript, and other code embedded in each Web site, looking for the ultimate source of content. “When you graph multiple sites, you can see their communities of content,” Chenette says. Websense researchers plan to release a plug-in for Firefox that will reveal the content hubs that a site is linked to.
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University of Jaen (UJA) telecommunications engineers have developed a method to automatically detect and identify musical notes in an audio file and generate sheet music. The system can identify notes from different instruments, musicians, types of music, or recording studio conditions. “We propose an automatic system to detect and transcribe musical notes for one-instrument musical signals which, unlike other methods, is capable of adapting to the music scene,” says UJA’s Julio Jose Carabias. “Automatic music transcription has many practical applications for musicological analysis and is of enormous assistance, for example, in recovering musical content, separating audio sources, and codifying or converting audio files.” The researchers’ method converts WAV music files into MIDI files, which makes it possible to visualize the sheet music and listen to the result. “Another advantage of this method is that it does not require prior training with a musical database,” Carabias says.
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