Abstract: Embodiments of the present invention provide systems and methods for associating rule mining in data comprising first and second variables, by generating a first and second filtering bitmap. The first filtering bitmap represents a set of values for the second variable for each of a plurality of values of the first variable. The second filtering bitmap represents, associations between frequent values of the second variable, which enables the identification of frequent 2-pattern itemsets. Thus, by performing first logical operations on the frequent 2-pattern itemsets, frequent high order-pattern itemsets may be identified. A max pattern itemset may be identified among the frequent high order-pattern itemsets. As a result, embodiments may mitigate performance and stability problems associated with conventional association rule mining approaches.

Abstract: Embodiments of the present invention provide systems and methods for associating rule mining in data comprising first and second variables, by generating a first and second filtering bitmap. The first filtering bitmap represents a set of values for the second variable for each of a plurality of values of the first variable. The second filtering bitmap represents, associations between frequent values of the second variable, which enables the identification of frequent 2-pattern itemsets. Thus, by performing first logical operations on the frequent 2-pattern itemsets, frequent high order-pattern itemsets may be identified. A max pattern itemset may be identified among the frequent high order-pattern itemsets. As a result, embodiments may mitigate performance and stability problems associated with conventional association rule mining approaches.

Abstract: Embodiments of the present invention provide systems and methods for associating rule mining. By way of example, embodiments obviate or mitigate performance and stability problems associated with conventional association rule mining approaches, by proposing concepts implementing association rule mining using rolling filtering bitmaps over dynamic data.

Abstract: Embodiments of the present invention provide systems and methods for associating rule mining. By way of example, embodiments obviate or mitigate performance and stability problems associated with conventional association rule mining approaches, by proposing concepts implementing association rule mining using rolling filtering bitmaps over dynamic data.

Abstract: A method of non-destructively evaluating or validating a processed area of an object such as a metallic laser shock peened surface by determining Rayleigh wave angles at various positions on the surface.

Abstract: An apparatus for aiming an ultrasonic beam to nondestructively test an object has an ultrasonic transducer for generating the ultrasonic beam having a beam axis and impinging the ultrasonic beam upon the object. The apparatus includes a laser aiming apparatus for directing at least one laser beam having a laser sight line substantially coaxial with the ultrasonic beam axis.The laser aiming apparatus, in one embodiment of the invention, includes a cross-hair apparatus for generating a laser beam cross-hair having a center along the laser sight line. Another embodiment of the present invention provides an ultrasonic mirror apparatus for bending the ultrasonic beam and which has a mirror made of a material that is substantially transparent to the laser beam.

Abstract: A light weight hand held ultrasonic scanner for ultrasonic flaw detection systems utilizes an omnidirectional rolling ball element which drive optical encoders for X-Y coordinate position location of flaws. The rolling ball element is mounted in a body for rolling contact with a surface to be inspected. An ultrasonic transducer is mounted at one end of a second hollow body attached to the first body. An ultrasound reflector is provided in the hollow body to reflect an ultrasound beam transversely out of the second body.

Abstract: A transducer device for an ultrasonic flaw detection system comprises a right angle rectangular block with one longitudinal edge being shaped to accurately conform to the curvature of the surface to be inspected. An ultrasonic sound wave beam in the block is reflected 90.degree. by a rotating mirror to cut a 360.degree. arc path through the surface to be inspected.

Abstract: A method for locating and identifying defects in a variable geometry workpiece using first and second transceivers positioned of a preselected distance apart adjacent opposite surfaces of the workpiece and aligned to direct ultrasonic signals toward each other through the workpiece. An ultrasound signal is transmitted from each transceiver toward the workpiece. Signal reflections from each adjacent workpiece surface are detected and used to compute workpiece thickness. Signals from one transceiver are detected at the other transceiver and their intensity determined. The signal intensity is normalized in proportion to the obtained workpiece thickness to establish a signal intensity independent of workpiece thickness. In one form, at least three signal processing paths, each having a different preselected gain, provide three signals of different amplified intensities for each measurement point.