Xerox PARC scientist Markus Jakobsson has developed a way to detect malware on mobile devices that can catch unknown viruses and protect a device without draining its battery or straining its processor. The approach relies on having a central server monitor a device’s memory for signs that it has been infected. The system checks a device by shutting down nonvital applications to make sure nothing is running except the detection software and the operating system. If malware is present and active, it will need to use some random access memory (RAM) to execute instructions on the device. The central server contacts the detection software to see if malware is using RAM by measuring how much memory is available. Once a device passes this check, the system can be certain that no malware programs are actively running, at which point it can scan secondary storage for dormant malware. Jakobsson notes the system is designed to find existing malware, and is not a prevention program.
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Oxford University researchers have developed the Parallel Tracking and Mapping (PTAM) program, a camera-tracking system for fusing real and three-dimensional (3D) computer-generated visuals. PTAM enables users to project virtual objects or characters into a video stream that appears on real world surfaces. “The blending of real and virtual worlds is common enough in films and television, but is usually achieved by extensive processing of the recorded images or by filming in studios with known objects at fixed locations,” says Oxford professor David Murray. “The PTAM software allows developers to augment a camera’s video stream in real time and in everyday locations.” PTAM builds a map of thousands of features from objects and scenes, tracks accurately and at a standard frame rate, and calculates the camera viewpoint and angle. The technology also could improve global positioning systems and digital compasses, and provide support for satellite, 3G, and Wi-Fi signals.
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University of the Basque Country (UBC) researcher Markel Vigo recently published his Ph.D. thesis on the Web Accessibility Quantitative Metric (WAQM), a system that automatically measures the accessibility level of a Web page. WAQM can measure the level of accessibility according to the type of disability of each person and automatically create an accessibility report for each Web page. This allows users to conduct an Internet search and have criteria related to their specific disability taken into consideration. The system uses the Unified Guidelines Language to give each Web page a score, which is shown next to the Web page’s link, based on its level of accessibility. Vigo says his system gives people with disabilities more control when carrying out a search on the Internet. WAQM also can create different accessibility grades based on the type of device that is being used. Each user gets a profile based on information about the type of disability, the Internet device of choice, and other factors, and this profile is used to personalize the accessibility report for each Web page.
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