Abstract: Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Abstract: The present disclosure provides a water activated transmitter assembly configured to provide a signal to a wireless light assembly when the water activated transmitter assembly is exposed to water. A water emergency device system is also disclosed, which comprises the water activated transmitter assembly and the wireless light assembly coupled to a water flotation device. A method of manufacture of the water activated transmitter assembly is also disclosed.

Abstract: A method is provided to predict a disaster for a computer system based on logs. The method includes representing existing logs as first vectors by tokenizing the existing logs and partitioning the first vectors into clusters. The clusters represent disaster types. The method further includes selecting representative vectors for the clusters, representing a new log of the computer system as a second vector by tokenizing the new log, matching the second vector to a cluster by comparing the second vector and the representative vectors, and categorizing the new log as a disaster type represented by the cluster.

Abstract: A leak and/or overflow detection system for an aircraft may comprise a first sensor configured to be disposed in a toilet bowl, a second sensor configured to be disposed in a waste tank, a first acoustic emission sensor and a second acoustic emission sensor configured to be disposed upstream and downstream of a valve, or any combination of the first sensor, the second sensor, and the acoustic emission sensors. A controller may receive various data from the sensors and determine whether a leak and/or an overflow condition is occurring or about to occur.

Abstract: An inflatable slide-raft may include a primary inflatable structure configured to inflate upon deployment of the inflatable slide-raft, a first secondary inflatable structure coupled to the primary inflatable structure, and a second secondary inflatable structure coupled to the primary inflatable structure. The first secondary inflatable structure and the second secondary inflatable structure siderail are configured to remain in a stowed state when the inflatable slide-raft is operated in a slide mode and to inflate when the inflatable slide-raft is operated in a raft mode.

Abstract: Present disclosure relates to an assembly for mounting solar panel tiles or other tiles/panels over a roof (surface). Assembly includes C-shaped base frames provided with holes at the bottom for fixing them parallelly over the roof. Rows of tiles are then mounted over two adjacent base frames. Assembly further includes Z-shaped clamping frames for holding the tile which sits and is mounted on the base frames. Clamping frames hold the tile at the top, and the bottom of another tile resting on a previous clamping frame. An area close to the bottom edge of tiles has a layer of adhesive that helps in attaching the bottom edge of tile to the top of a previous clamping frame, thereby making the assembly aesthetically pleasing and leakproof. Another set of holes are provided on the base frames, and clamping frames, to allow cables to pass through them, and provide proper ventilation beneath the assembly.

Abstract: A system and method for expedited tile installation are disclosed. The system may include a clamp strip and at least one tile. The clamp strip may be made of conjoined foldable strips. Each strip may include one or more clamps. The clamp strip role may be configured to unroll on a surface. The clamp strip may be adhered to the surface, after unrolling, using one or more fastening mechanisms. The at least one tile may include one or more wedges fixed to a rear side of the at least one tile. Each wedge may be configured to be inserted into the one or more clamp for installing the at least one tile. The one or more clamps and the one or more wedges may be configured to interlock for gripping the at least one tile to the clamp strip.

Abstract: Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing performance engineering are disclosed. In one aspect, a method includes the actions of providing, to a cloud computing system that is configured to implement multiple different types of virtual computing nodes, an instruction to execute an application on a virtual computing node that is a first type of virtual computing node of the multiple different types of virtual computing nodes. The actions further include determining computing performance parameters of the virtual computing node. The actions further include determining to execute the application on both the virtual computing node and an additional virtual computing node. The actions further include selecting, from among the multiple different types of virtual computing nodes, a second type of virtual computing node.

Abstract: Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Abstract: An inflation control system includes a valve module and a controller. The valve module includes a first valve fluidly connected to a fluid source, a second valve fluidly connected to the first valve, and a pressure regulator fluidly connected to the second valve and an aspirator. The controller is in communication with the first valve.

Abstract: A method for determining the phase of an electric meter includes: selecting a population of electric meters; selecting a historical time range based at least in part on the selected population of electric meters; selecting an interval period; creating profiles for each electric meter in the selected population of electric meters based on the voltage measurements over one or more interval periods; calculating a correlation coefficient matrix based on the profiles; clustering the selected population of electric meters into a plurality of clusters; and determining a phase of each cluster of the plurality of clusters.

Abstract: A system access a session profile. The session profile may include log source identifiers and model identifiers. The system may deploy a log projection session based on the session profile. The system may receive, in response to deployment of the log projection session, a log stream from a log source corresponding to at least one of the log identifiers. The system may generate a log projection stream based on the log stream and an initial machine-learning model. The system may calibrate the session profile and select an alternative machine-learning model based on model performance metrics. The system may redeploy the log projection session based on the calibrated session profile. The system may automatically scale computer resources for improved job performance based on forecasted log information derived from the selected machine-learning model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing performance engineering are disclosed. In one aspect, a method includes the actions of providing, to a cloud computing system that is configured to implement multiple different types of virtual computing nodes, an instruction to execute an application on a virtual computing node that is a first type of virtual computing node of the multiple different types of virtual computing nodes. The actions further include determining computing performance parameters of the virtual computing node. The actions further include determining to execute the application on both the virtual computing node and an additional virtual computing node. The actions further include selecting, from among the multiple different types of virtual computing nodes, a second type of virtual computing node.

Abstract: An inflation control system includes a valve module and a controller. The valve module includes a first valve fluidly connected to a fluid source, a second valve fluidly connected to the first valve, and a pressure regulator fluidly connected to the second valve and an aspirator. The controller is in communication with the first valve.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing performance engineering are disclosed. In one aspect, a method includes the actions of providing, to a cloud computing system that is configured to implement multiple different types of virtual computing nodes, an instruction to execute an application on a virtual computing node that is a first type of virtual computing node of the multiple different types of virtual computing nodes. The actions further include determining computing performance parameters of the virtual computing node. The actions further include determining to execute the application on both the virtual computing node and an additional virtual computing node. The actions further include selecting, from among the multiple different types of virtual computing nodes, a second type of virtual computing node.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing performance engineering are disclosed. In one aspect, a method includes the actions of providing, to a cloud computing system that is configured to implement multiple different types of virtual computing nodes, an instruction to execute an application on a virtual computing node that is a first type of virtual computing node of the multiple different types of virtual computing nodes. The actions further include determining computing performance parameters of the virtual computing node. The actions further include determining to execute the application on both the virtual computing node and an additional virtual computing node. The actions further include selecting, from among the multiple different types of virtual computing nodes, a second type of virtual computing node.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing performance engineering are disclosed. In one aspect, a method includes the actions of providing, to a cloud computing system that is configured to implement multiple different types of virtual computing nodes, an instruction to execute an application on a virtual computing node that is a first type of virtual computing node of the multiple different types of virtual computing nodes. The actions further include determining computing performance parameters of the virtual computing node. The actions further include determining to execute the application on both the virtual computing node and an additional virtual computing node. The actions further include selecting, from among the multiple different types of virtual computing nodes, a second type of virtual computing node.

Abstract: A method for ranking network assets based on downstream events may include: receiving communications from one or more sensors in a power distribution network, the communications indicating the occurrence of a network event; calculating a probability of a network asset causing a problem indicated by the event for each network asset in an affected area of the network; calculating a spread probability of the network asset causing the problem for each network asset in the affected area of the network; based on the probability and the spread probability, calculating a probability of the network asset malfunctioning for each network asset in the affected area of the network; comparing the probability of the network asset malfunctioning to a threshold value; based on the comparison, determining a network asset having a highest probability of malfunctioning; and controlling one of more other network assets to mitigate the problem.

Abstract: A method may include generating, by a diagnosis manager, a plurality of pre-processed files based on a plurality of log files containing operational information related to one or more of the plurality of modules operating in the cloud environment. The method may include generating a set of weightage matrices based on a plurality of tokens extracted from the plurality of pre-processed files, and identifying a plurality of clusters based on the set of weightage matrices. The method may further include determining, by a resolution manager coupled with the diagnosis manager, an operational issue for a specific module selected from the plurality of modules and associated with a specific cluster selected from the plurality of clusters, based on the subset of tokens associated with the specific cluster; and performing a predefined action on the specific module based on the operational issue.