Abstract: Fragmented user engagement stacks are generated from users that use multiple devices to view messages. The fragmented user engagement stacks include a universal unique identifier (UUID). A computer platform stores cross-device mapping information, derived from a shared characteristic between two or more devices, that associates the UUIDs of multiple devices to a single user. The computer platform processes the cross-device mapping data to identify the UUIDs from different devices associated with a single user and to join touchpoint encounters from the single user to generate at least one cross-device user engagement stack. The computer platform uses the cross-device user engagement stack and the response data to determine attribution as a measure of influence attributed to touchpoint encounters from a single user.

Abstract: A lighting relay panel may include lower-cost features or components related to improved safety and reliability. In some cases, the relay panel includes a power supply capable of protecting the panel from high-voltage and high-current transients. A microcontroller may determine a power interruption based on a zero-cross signal received from the power supply, and may also configure latching relays during the interruption. In some implementations, the relay panel includes a relay sense circuit that is capable of receiving actuation signals from multiple relays connected to different phases of a power signal, and the microcontroller may synchronize or repeat the actuations based on a signal from the relay sense circuit. The microcontroller may generate relay addresses based on the relay positions within the relay panel. In some cases, the relay panel may include isolation circuits that are capable of providing an isolated control signal having an improved voltage range.

Abstract: A lighting relay panel may include lower-cost features or components related to improved safety and reliability. In some cases, the relay panel includes a power supply capable of protecting the panel from high-voltage and high-current transients. A microcontroller may determine a power interruption based on a zero-cross signal received from the power supply, and may also configure latching relays during the interruption. In some implementations, the relay panel includes a relay sense circuit that is capable of receiving actuation signals from multiple relays connected to different phases of a power signal, and the microcontroller may synchronize or repeat the actuations based on a signal from the relay sense circuit. The microcontroller may generate relay addresses based on the relay positions within the relay panel. In some cases, the relay panel may include isolation circuits that are capable of providing an isolated control signal having an improved voltage range.

Abstract: Fragmented user engagement stacks are generated from users that use multiple devices to view messages. The fragmented user engagement stacks include a universal unique identifier (UUID). A computer platform stores cross-device mapping information, derived from a shared characteristic between two or more devices, that associates the UUIDs of multiple devices to a single user. The computer platform processes the cross-device mapping data to identify the UUIDs from different devices associated with a single user and to join touchpoint encounters from the single user to generate at least one cross-device user engagement stack. The computer platform uses the cross-device user engagement stack and the response data to determine attribution as a measure of influence attributed to touchpoint encounters from a single user.

Abstract: Touchpoint encounters, which represent exposure to messages transmitted through a network to users, include attributes that define universal unique identifiers (UUIDs) for user devices and at least one cross-device user engagement stack. The cross-device user engagement stack consolidates the touchpoint encounters from the user devices with different UUIDs but associated with a single user. A stimulus attribution predictive model outputs attribution parameters to estimate an effectiveness of the messages to elicit positive responses from the users. Media buy execution feed parameters are generated to quantify a set of spending amounts, based on the attribution parameters, so as to specify a cost-effective amount to deliver one of the messages to the users. The media buy execution feed parameters are delivered to programmatic media buying execution platforms that attempt to deliver the messages in accordance with the spending amounts.

Abstract: A method, system, and computer program product for classifying, weighting, and quantifying audience responses to stimulation. A method commences by forming a predictive model comprising parameters derived from response data records taken from the Internet and stimulus data records takers item the performance or execution of a media plan. A database of user configurations is consulted to access brand engagement event weighting parameters. The brand engagement event weighting parameters are combined with simulation data to generate weighted touchpoint contribution values that can in turn be used to predict future responses front the audience or a similar future audience. The weighted touchpoint contribution values are used to calculate audience engagement scores. A selected set of audience engagement scores are used to determine spending in a media plan.

Abstract: In one embodiment, a computing system includes a cache having one or more memories, a cache journal operable to store data associated with one or more portions of the cache, and a configuration manager operable to access the cache and the cache journal. The configuration manager is operable to determine whether the cache journal includes data associated with a first portion of the cache, and to create, in the cache journal, data associated with the first portion of the cache if the cache journal does not yet comprise data associated with the first portion of the cache. The configuration manager is also operable to determine whether the first portion of the cache is valid for use, and to communicate with a memory manager associated with the first portion of the cache regarding whether the first portion of the cache is valid for use.

Abstract: In one embodiment, a computer system includes a cache having one or more memories and a metadata service. The metadata service is able to receive requests for data stored in the cache from a first client and from a second client. The metadata service is further able to determine whether the performance of the cache would be improved by relocating the data stored in the cache. The metadata service is further operable to relocate the data stored in the cache when such relocation would improve the performance of the cache.

Abstract: In one embodiment, a computer system includes a cache having one or more memories and a metadata service. The metadata service is able to receive requests for data stored in the cache from a first client and from a second client. The metadata service is further able to determine whether the performance of the cache would be improved by relocating the data stored in the cache. The metadata service is further operable to relocate the data stored in the cache when such relocation would improve the performance of the cache.

Abstract: In one embodiment, a computer system includes a cache having one or more memories and a metadata service. The metadata service is able to receive requests for data stored in the cache from a first client and from a second client. The metadata service is further able to determine whether the performance of the cache would be improved by relocating the data stored in the cache. The metadata service is further operable to relocate the data stored in the cache when such relocation would improve the performance of the cache.

Abstract: The disclosed subject matter relates to an integrated decision support “cockpit” or control center for displaying, analyzing, and/or responding to, various events and contingencies that can occur within an electrical grid.

Abstract: The disclosed subject matter relates to an integrated decision support “cockpit” or control center for displaying, analyzing, and/or responding to, various events and contingencies that can occur within an electrical grid.

Abstract: In one embodiment, a computing system includes a cache having one or more memories, a cache journal operable to store data associated with one or more portions of the cache, and a configuration manager operable to access the cache and the cache journal. The configuration manager is operable to determine whether the cache journal includes data associated with a first portion of the cache, and to create, in the cache journal, data associated with the first portion of the cache if the cache journal does not yet comprise data associated with the first portion of the cache. The configuration manager is also operable to determine whether the first portion of the cache is valid for use, and to communicate with a memory manager associated with the first portion of the cache regarding whether the first portion of the cache is valid for use.

Abstract: In one embodiment, a computer system includes a cache having one or more memories and a metadata service. The metadata service is able to receive requests for data stored in the cache from a first client and from a second client. The metadata service is further able to determine whether the performance of the cache would be improved by relocating the data stored in the cache. The metadata service is further operable to relocate the data stored in the cache when such relocation would improve the performance of the cache.

Abstract: A system and computer-implemented method of providing contingency analysis information for a utility service network that includes obtaining contingency analysis information from a plurality of external sources, integrally combining the contingency analysis information obtained from each of the plurality of external sources into a single application and prioritizing the contingency analysis information in a predetermined order, dynamically updating, the contingency analysis information obtained from each of the plurality of external sources and the prioritization of the contingency analysis information based on status information, and displaying the contingency analysis information to a user via a graphical user interface.

Abstract: The disclosed subject matter relates to an integrated decision support “cockpit” or control center for displaying, analyzing, and/or responding to, various events and contingencies that can occur within an electrical grid.

Abstract: A machine learning system creates failure-susceptibility rankings for feeder cables in a utility's electrical distribution system. The machine learning system employs martingale boosting algorithms and Support Vector Machine (SVM) algorithms to generate a feeder failure prediction model, which is trained on static and dynamic feeder attribute data. Feeders are dynamically ranked by failure susceptibility and the rankings displayed to utility operators and engineers so that they can proactively service the distribution system to prevent local power outages. The feeder rankings may be used to redirect power flows and to prioritize repairs. A feedback loop is established to evaluate the responses of the electrical distribution system to field actions taken to optimize preventive maintenance programs.

Abstract: A machine learning system creates failure-susceptibility rankings for feeder cables in a utility's electrical distribution system. The machine learning system employs martingale boosting algorithms and Support Vector Machine (SVM) algorithms to generate a feeder failure prediction model, which is trained on static and dynamic feeder attribute data. Feeders are dynamically ranked by failure susceptibility and the rankings displayed to utility operators and engineers so that they can proactively service the distribution system to prevent local power outages. The feeder rankings may be used to redirect power flows and to prioritize repairs. A feedback loop is established to evaluate the responses of the electrical distribution system to field actions taken to optimize preventive maintenance programs.