Abstract: A method and system for in situ cross-linking of polymers, Bitumen, and other materials to produce arbitrary functional or ornamental three-dimensional features using electron beams provided by mobile accelerators comprises defining a desired pattern for imparting on a target area, mapping the target area, defining at least one discrete voxel in the target area according to the desired pattern to be imparted on the target area, assigning an irradiation value to each of the at least one discrete voxels, and delivering a dose of irradiation to each of the at least one discrete voxels according to the assigned irradiation value.

Abstract: Systems and arrangements for determining whether a scheduled modification of a system, or the like, is a likely cause of an incident are provided. Historical data related to previous incidents may be received and analyzed to identify incidents having a significant business impact and the system, or the like, associated with those incidents. Scheduled modification data may be received and may include a system, or the like, for which a modification has occurred, and a time and date at which the modification is occurred. An incident may be received and the system, or the like associated with the incident may be identified and compared to systems, or the like, identified in the scheduled modification data. If there is a match, a determination may be made as to whether the incident occurred at a time and date of the scheduled modification. If so, the scheduled modification may be identified as a likely cause of the incident.

Abstract: Systems and arrangements for using temporal analysis to evaluate incidents to determine whether they are likely to cause a significant business impact are provided. Historical data may be analyzed to identify incidents having a significant business impact. The historical data associated with incidents having a significant business impact may be further analyzed to identify a time and/or date at which the incident occurred, as well as the particular system, or the like, impacted by the incident. Normal business hours associated with the system, or the like, may be retrieved and a profile may be generated for the system, or the like. An incident may be received and processed to identify a system, or the like, associated with the incident and profile may be retrieved. The incident data may be compared to the profile to determine whether the incident is likely to cause a significant business impact based, at least in part, on the date and/or time at which it occurred.

Abstract: Systems and arrangements for pre-processing data to detect and analyze system, application, or the like, incidents to identify incidents likely to cause a significant business impact are provided. Historical data related to incidents that previously occurred may be analyzed to quantify an impact of each incident. The quantified impact may be compared to a threshold and, if the impact above the threshold, the incident may be flagged as having a significant business impact. If the impact is below the threshold, the incident may be flagged as not having a significant business impact. Upon detecting an incident, data from the incident may be compared to the historical data of incidents having a significant business impact. If aspects of the incident are similar to one or more incidents having a significant business impact, the system may determine that the newly received incident is also likely to cause a significant business impact.

Abstract: Systems and arrangements for performing a textual analysis to identify incidents likely to cause a significant business impact are provided. Historical data related to previously occurring incidents may be analyzed to determine a magnitude of impact of the incident. The magnitude may be compared to a predetermined threshold and, if above the threshold, the incident may be flagged as having a significant business impact. If the magnitude is below the threshold, the incident may be flagged as not having a significant business impact. The incidents in each group may then be analyzed to identify keywords, combinations, and/or sequences having a strong correlation to incidents having a significant business impact and incidents not having a significant business impact, which may form inclusion and exclusion criteria. Data from newly received incidents may be compared to the inclusion and exclusion criteria to determine whether the incident is likely to have a significant business impact.

Abstract: Systems and arrangements for determining whether a scheduled modification of a system, or the like, is a likely cause of an incident are provided. Historical data related to previous incidents may be received and analyzed to identify incidents having a significant business impact and the system, or the like, associated with those incidents. Scheduled modification data may be received and may include a system, or the like, for which a modification has occurred, and a time and date at which the modification is occurred. An incident may be received and the system, or the like associated with the incident may be identified and compared to systems, or the like, identified in the scheduled modification data. If there is a match, a determination may be made as to whether the incident occurred at a time and date of the scheduled modification. If so, the scheduled modification may be identified as a likely cause of the incident.

Abstract: Systems and arrangements for using temporal analysis to evaluate incidents to determine whether they are likely to cause a significant business impact are provided. Historical data may be analyzed to identify incidents having a significant business impact. The historical data associated with incidents having a significant business impact may be further analyzed to identify a time and/or date at which the incident occurred, as well as the particular system, or the like, impacted by the incident. Normal business hours associated with the system, or the like, may be retrieved and a profile may be generated for the system, or the like. An incident may be received and processed to identify a system, or the like, associated with the incident and profile may be retrieved. The incident data may be compared to the profile to determine whether the incident is likely to cause a significant business impact based, at least in part, on the date and/or time at which it occurred.

Abstract: Systems and arrangements for performing a textual analysis to identify incidents likely to cause a significant business impact are provided. Historical data related to previously occurring incidents may be analyzed to determine a magnitude of impact of the incident. The magnitude may be compared to a predetermined threshold and, if above the threshold, the incident may be flagged as having a significant business impact. If the magnitude is below the threshold, the incident may be flagged as not having a significant business impact. The incidents in each group may then be analyzed to identify keywords, combinations, and/or sequences having a strong correlation to incidents having a significant business impact and incidents not having a significant business impact, which may form inclusion and exclusion criteria. Data from newly received incidents may be compared to the inclusion and exclusion criteria to determine whether the incident is likely to have a significant business impact.

Abstract: Systems and arrangements for pre-processing data to detect and analyze system, application, or the like, incidents to identify incidents likely to cause a significant business impact are provided. Historical data related to incidents that previously occurred may be analyzed to quantify an impact of each incident. The quantified impact may be compared to a threshold and, if the impact above the threshold, the incident may be flagged as having a significant business impact. If the impact is below the threshold, the incident may be flagged as not having a significant business impact. Upon detecting an incident, data from the incident may be compared to the historical data of incidents having a significant business impact. If aspects of the incident are similar to one or more incidents having a significant business impact, the system may determine that the newly received incident is also likely to cause a significant business impact.

Abstract: System and method for facilitating the implementation of changes to the configuration of resources in an enterprise. Embodiments of the present invention facilitate the use of historical information about an enterprise's IT configuration to evaluate the risk and impact of proposed changes. Risk can be evaluated using a success history for an organization within the enterprise that is responsible for the proposed change, or by applying a neural network to the historical data to detect recognizable patterns in the historical data. A risk evaluation can take into account sensitivity of the change to dates assigned on a change calendar, based on sensitivity dates gathered from the historical data. Historical data can be maintained and provided by a configuration database.

Abstract: System and method for managing the configuration of resources in an enterprise. Embodiments of the present invention gather, store, and maintain institutional knowledge of configurations of IT resources of an enterprise. A configuration database serves as a temporal record of the configurations of the resources. The configuration database can reflect a dimensional model of the enterprise configuration where various configuration items are linked together. A configuration change can be analyzed and approved, and then reflected in a change to a configuration item (CI) which imposes an appropriate change to other configuration items based on upstream, downstream, peer relationships and/or views. A system according to an embodiment of the invention can also include a change database, an inventory database, a problem database, and/or a service level management subsystem to ensure changes to an enterprise's configuration are consistent with service level agreements and/or operating level agreements.