Abstract: A method of reconstructing tomography images comprising: acquiring data on individual radiation events; distributing a weight of the individual radiation events along a line of flight associated with the event determined from the acquired data; and iteratively reconstructing the image based on the individually reprojected data.

Abstract: A method and apparatus for detecting abnormal behavior of enterprise software applications is disclosed. A profile that represents the behavior of the function is created for each service and error function integrated in an enterprise software application. This profile is based on input measurements, such as response time, throughput, and non-availability. For each such input measurement, the expected behavior is determined, as well as the upper and lower bounds on that expected behavior. The invention further monitors the behavior of service and error functions and produces an exception if at least one of the upper or lower bounds is violated. The detection scheme disclosed is dynamic, adaptive, and has self-learning capabilities.