Abstract: An example operation may include one or more of storing an index that comprises identifiers of role-based access privileges for a plurality of users with respect to a database, receiving a database query associated with a user from a software program, identifying data records within the database that the user has permission to access based on database accessibility rights of the user stored within the index, prior to execution of the database query, loading the identified data records into the memory and filtering out other data records from the database which the user does not have permission to access, and executing the database query on the identified data records loaded from the database and returning query results from the execution to the software program.

Abstract: A computer-implemented method includes receiving a data stream, the data stream including one or more driving factors. The computer-implemented method further includes comparing the one or more driving factors to one or more known driving factors to identify a driving scenario. The computer-implemented method further includes monitoring the driving scenario for a risk. Monitoring the driving scenario for a risk further includes detecting the risk. The computer-implemented method further includes generating an intervention, wherein the intervention is generated based on detecting the risk for the driving scenario. A corresponding computer system and computer program product are also disclosed.

Abstract: A computer-implemented method includes receiving a data stream, the data stream including one or more driving factors. The computer-implemented method further includes comparing the one or more driving factors to one or more known driving factors to identify a driving scenario. The computer-implemented method further includes monitoring the driving scenario for a risk. Monitoring the driving scenario for a risk further includes detecting the risk. The computer-implemented method further includes generating an intervention, wherein the intervention is generated based on detecting the risk for the driving scenario. A corresponding computer system and computer program product are also disclosed.

Abstract: A computer-implemented method includes receiving a data stream, the data stream including one or more driving factors. The computer-implemented method further includes comparing the one or more driving factors to one or more known driving factors to identify a driving scenario. The computer-implemented method further includes monitoring the driving scenario for a risk. Monitoring the driving scenario for a risk further includes detecting the risk. The computer-implemented method further includes generating an intervention, wherein the intervention is generated based on detecting the risk for the driving scenario. A corresponding computer system and computer program product are also disclosed.

Abstract: A method of reducing noise in a video signal which includes a plurality of video frames being composed of a plurality of pixels, the method comprising the steps of: comparing video information contained in a current video frame and a plurality of temporally adjacent video frames; selecting from the current video frame and the adjacent video frames the video information that according to a predetermined condition is likely to be correct for the current video frame; and finally assigning the selected video information to the current video frame to thereby produce a video frame wherein noise has been reduced.