Abstract: A system and method for monitoring and optimizing work assistant search engines implemented within secured enterprise computing systems include one or more processing devices to receive diagnostic data of a work assistant search engine from a secured enterprise computing system. The one or more processing devices may further determine, by analyzing the diagnostic data, a search quality metric value associated with the feature values and the scores. Responsive to determining that the search quality metric value differs from a target search quality metric value by a predetermined threshold value, the one or more processing devices may further determine an updated score model, and provide the updated score model to the secured enterprise computing system to update the work assistant search engine.

Abstract: Aspects of the present disclosure relate to waveform calculation using a hybrid evaluation and simulation approach. Using one or more processors, one or more first portions of a design that are capable of being evaluated using waveform propagation are identified. The identified one or more first portions of the design are evaluated using waveform propagation. One or more second portions of the design that are not capable of being evaluated using waveform propagation are identified. Operation of the one or more second portions of the design is simulated.

Abstract: A system for determining corrosion under insulation of an industrial asset is provided. The system includes an infrared camera configured to acquire one or more time-series infrared images of an industrial asset. The system further includes a computing device configured to receive data characterizing the one or more time-series infrared images, and to identify an area of interest of the industrial asset within the one or more time-series infrared images. The computing device further configured to identify, by a machine learning algorithm, a plurality of defects within the area of interest based on pixel-wise assignment of at least one defect category selected from a plurality of defect categories associated with corrosion under insulation of the industrial asset, and to provide the plurality of defects within the area of interest of the industrial asset. Related methods, apparatuses, and computer-readable mediums are also provided.

Abstract: Data characterizing a first set of locations of a plurality of sensors at an industrial site is received. Gas concentration, wind velocity at the industrial site, and an identified leakage area at the industrial site are detected by the plurality of sensors. Locations and leakage rates of one or more leakage sources is determined in the identified leakage area by a predictive dispersion model. The predictive dispersion model is configured to receive the wind velocity at the industrial site and the locations and leakage rates of the one or more potential leakage sources as input and generate the set of estimated gas concentration as output. A comparative metric based on the set of estimated gas concentrations is compared to the detected gas concentrations. The selected location and leakage rates of the potential leakage sources in a current iteration of the iterative determination are provided.

Abstract: A method includes receiving data characterizing locations of potential sources and of potential sensors at an industrial site, and receiving data characterizing a plurality of wind velocities at the industrial site. The method includes calculating a first prediction error of localization associated with a first set of potential sensors of the plurality of potential sensors, calculating a second prediction error of localization associated with a second set of potential sensors of the plurality of potential sensors, the calculating being based on a second set of scenario prediction errors associated with the plurality of scenarios, and selecting the first set of potential sensors to provide locations associated the first sub-set of potential sensors.

Abstract: Techniques are described herein that are capable of monitoring connectivity and latency of network links in virtual networks. For instance, a ping agent injects first ping packets into network traffic on behalf of hosts in the virtual network. The ping agent monitors incoming packets to identify first ping response packets, which are in response to the first ping packets, among the incoming packets. A ping responder rule that is included in inbound packet filter rules for a port in a virtual switch intercepts second ping packets in the network traffic. The ping responder rule converts the second ping packets into second ping response packets and injects the second ping response packets into outbound packet filter rules to be transferred to sources from which the second ping packets are received.

Abstract: Techniques are described herein that are capable of monitoring connectivity and latency of network links in virtual networks. For instance, a ping agent injects first ping packets into network traffic on behalf of hosts in the virtual network. The ping agent monitors incoming packets to identify first ping response packets, which are in response to the first ping packets, among the incoming packets. A ping responder rule that is included in inbound packet filter rules for a port in a virtual switch intercepts second ping packets in the network traffic. The ping responder rule converts the second ping packets into second ping response packets and injects the second ping response packets into outbound packet filter rules to be transferred to sources from which the second ping packets are received.