Abstract: A computer-implemented method comprising providing a graphical user interface for user selection of fraud rules that comprises fraud transaction parameters determined based on transaction parameters included in a plurality of known fraudulent transactions. The GUI also comprises high risk merchants with a fraud rate that exceeds a threshold fraud rate. The method includes receiving a user selection of fraud rules relating to at least the fraud transaction parameters, the high risk merchants, and the high frequency merchants. The method includes receiving test transaction data including at least one transaction parameter and at least one merchant associated with the test transaction, applying the fraud rules to the received transaction data to identify probable fraudulent transactions.

Abstract: A computer-implemented method comprising providing a graphical user interface for user selection of fraud rules that comprises fraud transaction parameters determined based on transaction parameters included in a plurality of known fraudulent transactions. The GUI also comprises high risk merchants with a fraud rate that exceeds a threshold fraud rate. The method includes receiving a user selection of fraud rules relating to at least the fraud transaction parameters, the high risk merchants, and the high frequency merchants. The method includes receiving test transaction data including at least one transaction parameter and at least one merchant associated with the test transaction, applying the fraud rules to the received transaction data to identify probable fraudulent transactions.

Abstract: A computer-implemented method comprising providing a graphical user interface for user selection of fraud rules that comprises fraud transaction parameters determined based on transaction parameters included in a plurality of known fraudulent transactions. The GUI also comprises high risk merchants with a fraud rate that exceeds a threshold fraud rate. The method includes receiving a user selection of fraud rules relating to at least the fraud transaction parameters, the high risk merchants, and the high frequency merchants. The method includes receiving test transaction data including at least one transaction parameter and at least one merchant associated with the test transaction, applying the fraud rules to the received transaction data to identify probable fraudulent transactions.

Abstract: A power supply device for a computer device mainly comprises a DC to DC converter used to receive and convert an outside DC power supply to a variety of DC voltages needed for a computer device and an up/down regulator connected to the DC to DC converter and used to stabilize an output voltage. According to the present invention, the up/down regulator is installed before the +12 voltage input end of the computer device. Whereby, the +12 voltage can be stabilized and the work loss of the power supply for the computer can be lowered down.

Abstract: A system of software diagnosis to diagnose a un-debugged software having a plurality of program segments related to at least one event. The system is characterized in that it includes an event ratio-calculating module and an event-generating module. The event ratio-calculating module calculates the production weight of the individual event based on the ratios of the program segments in the un-debugged software and the relation of the program segments with the individual events. The event-generating module generates the individual event based on the production weight for diagnosing the un-debugged software.