Abstract: In some implementations, a system may receive code for a package to be deployed on a cloud computing platform. The system may cause the cloud computing platform to build the package from the code. The system may install the package on the cloud computing platform in a first non-production environment, wherein the first non-production environment is a development environment. The system may automatically test the package in the first non-production environment based on first testing information for the first non-production environment in a configuration file associated with the code. The system may deploy the package on the cloud computing platform in a production environment. The system may automatically test the package in the production environment based on second testing information for the production environment in the configuration file.

Abstract: A method for measuring and logging the performance of a wheeled vehicle suspension system by measuring the dynamic performance of at least one component of said vehicle suspension system, the method including the steps of: setting the vehicle on a pre-determined path and within a pre-determined speed range; causing the suspension of said vehicle to be displaced by a substantially predetermined amount by causing the wheels of the vehicle to roll over one or more objects of known size on said path; measuring the displacement of said at least one suspension system component relative to the sprung mass of the vehicle and/or one or more fixed objects in response to said displacement; measuring the oscillation frequency of said at least one vehicle suspension system component in response to said displacement; and determining the suspension damping characteristics relating to the at least one vehicle suspension system component using the displacement and frequency measurements.

Abstract: A computer-implemented method of modelling a hydraulic network comprising pipes and pressure monitoring points, the method comprising: creating a model comprising a plurality of nodes and a plurality of edges connecting the nodes; wherein each node represents a pressure monitoring point within the hydraulic network, and each edge connects two nodes and represents an amalgamation of the pipes of the network that span between the pressure monitoring points represented by the two nodes.

Abstract: Banknote processing equipment is disclosed, which comprises a chamber having an open end for insertion of a bag into the chamber and an extractor adapted to establish a lower ambient pressure between the chamber and the hag to that within the bag to cause the bag to expand into an open configuration during a banknote filling operation, whereby the banknote processing equipment can deposit banknotes in the bag.

Abstract: Banknote processing equipment is disclosed, which comprises a chamber having an open end for insertion of a bag into the chamber and an extractor adapted to establish a lower ambient pressure between the chamber and the bag to that within the bag to cause the bag to expand into an open configuration during a banknote filling operation, whereby the banknote processing equipment can deposit banknotes in the bag.

Abstract: A system and method for controlling a system, comprising estimating an optimal control policy for the system; receiving data representing sequential states and associated trajectories of the system, comprising off-policy states and associated off-policy trajectories; improving the estimate of the optimal control policy by performing at least one approximate value iteration, comprising: estimating a value of operation of the system dependent on the estimated optimal control policy; using a complex return of the received data, biased by the off-policy states, to determine a bound dependent on at least the off-policy trajectories, and using the bound to improve the estimate of the value of operation of the system according to the estimated optimal control policy; and updating the estimate of the optimimal control policy, dependent on the improved estimate of the value of operation of the system.

Abstract: A fluid discharge suppressor can include a body having one or more internal spaces, a first cap adapted to be coupled to the body, a second cap adapted to be coupled to the first cap, and one or more ports for allowing fluid flow out of the body. A suppressor can be adapted for allowing a wireline to pass therethrough and one or more caps can be adapted to hold a packing element. A suppressor can include one or more fluid deflectors for biasing fluid flow toward one or more ports. A suppressor can be adapted to couple with a pack-off or other well equipment for suppressing fluid discharge therefrom.

Abstract: Dynamic provisioning of parking spaces on-demand can include receiving search requests from first user devices, searching a register based on user types and locations associated with the search requests, and causing search results to be displayed on graphical user interfaces (“GUI”) of the first user devices. Linked user options can be determined with a server based on space assets selected from the search results, user registration profiles, or the search requests. Correspondence can be sent between the first user devices and second user devices associated with users that are linked to users of the first user devices or control access to selected space assets Linked user options can be displayed on GUIs of first and second user devices based on the correspondence and space assets selected Space assets can be provisioned by the server based on provisioning agreements facilitated through the first and second user devices.

Abstract: A control system and method for controlling a system, which employs a data set representing a plurality of states and associated trajectories of an environment of the system; and which iteratively determines an estimate of an optimal control policy for the system. The iterative process performs the substeps, until convergence, of estimating a long term value for operation at a respective state of the environment over a series of predicted future environmental states; using a complex return of the data set to determine a bound to improve the estimated long term value; and producing an updated estimate of an optimal control policy dependent on the improved estimate of the long term value. The control system may produce an output signal to control the system directly, or output the optimized control policy. The system preferably is a reinforcement learning system which continually improves.

Abstract: A lubricator clamp can include a first component clamp for coupling to a first piece of a lubricator on a first side of a lubricator nut, a second component clamp for coupling to a second piece of the lubricator on a second side of the lubricator nut, and a tie member coupled to the first and second component clamps. A component clamp can include a first portion having a first hinge end and a first latch end and a second portion having a second hinge end and a second latch end, wherein the first hinge end is hingeably coupled to the second hinge end and the first latch end is configured to couple with the second latch end. A tie member can include a coupler for coupling with a lubricator nut.

Abstract: A method for gait-based behavioral verification of user identity of a subject user of a computer system includes obtaining an enrollment signature corresponding to an identified user and serving as a unique identifier of the identified user, the enrollment signature including an enrollment determinate vector generated based on supplying enrollment gait data to a deep neural network for processing. The method further includes obtaining verification determinate vector(s), the verification determinate vector(s) for comparison to the enrollment signature to determine whether the subject user is the identified user.

Abstract: A method for keystroke-based behavioral verification of user identity of a subject user of a computer system includes obtaining an enrollment signature corresponding to an identified user and serving as a unique identifier of the identified user, the enrollment signature including an enrollment determinate vector generated based on supplying enrollment keystroke data to a deep neural network for processing. The method further includes obtaining verification determinate vector(s), the verification determinate vector(s) for comparison to the enrollment signature to determine whether the subject user is the identified user.

Abstract: A lubricator clamp can include a first component clamp for coupling to a first piece of a lubricator on a first side of a lubricator nut, a second component clamp for coupling to a second piece of the lubricator on a second side of the lubricator nut, and a tie member coupled to the first and second component clamps. A component clamp can include a first portion having a first hinge end and a first latch end and a second portion having a second hinge end and a second latch end, wherein the first hinge end is hingeably coupled to the second hinge end and the first latch end is configured to couple with the second latch end. A tie member can include a coupler for coupling with a lubricator nut.

Abstract: A method for measuring and logging the performance of a wheeled vehicle suspension system by measuring the dynamic performance of at least one component of said vehicle suspension system, the method including the steps of: setting the vehicle on a pre-determined path and within a pre-determined speed range; causing the suspension of said vehicle to be displaced by a substantially predetermined amount by causing the wheels of the vehicle to roll over one or more objects of known size on said path; measuring the displacement of said at least one suspension system component relative to the sprung mass of the vehicle and/or one or more fixed objects in response to said displacement; measuring the oscillation frequency of said at least one vehicle suspension system component in response to said displacement; and determining the suspension damping characteristics relating to the at least one vehicle suspension system component using the displacement and frequency measurements.

Abstract: Polymeric charge transfer layer compositions suitable for organic layers of electronic devices that show reduced driving voltage and increased luminous efficiency.

Abstract: A fluid discharge suppressor can include a body having one or more internal spaces, a first cap adapted to be coupled to the body, a second cap adapted to be coupled to the first cap, and one or more ports for allowing fluid flow out of the body. A suppressor can be adapted for allowing a wireline to pass therethrough and one or more caps can be adapted to hold a packing element. A suppressor can include one or more fluid deflectors for biasing fluid flow toward one or more ports. A suppressor can be adapted to couple with a pack-off or other well equipment for suppressing fluid discharge therefrom.

Abstract: Behavioral verification of user identity includes building a deep neural network for keystroke-based behavioral verification of user identity. The building includes receiving recorded keystroke events, each such recorded keystroke event including (i) an indication of whether the recorded keystroke event is a key press or a key release, (ii) a key identifier of the respective key pressed or released, and (iii) a timestamp of the recorded keystroke event. The building further includes performing pre-processing of the recorded keystroke events to provide data structures representing sequential key events for processing by a deep neural network to extract local patterns, and training the deep neural network using the data structures. The method also includes providing the trained deep neural network for keystroke-based behavioral verification of user identity based on determinate vectors output from the trained deep neural network.

Abstract: A method for keystroke-based behavioral verification of user identity of a subject user of a computer system includes obtaining an enrollment signature corresponding to an identified user and serving as a unique identifier of the identified user, the enrollment signature including an enrollment determinate vector generated based on supplying enrollment keystroke data to a deep neural network for processing. The method further includes obtaining verification determinate vector(s), the verification determinate vector(s) for comparison to the enrollment signature to determine whether the subject user is the identified user.

Abstract: A method for gait-based behavioral verification of user identity of a subject user of a computer system includes obtaining an enrollment signature corresponding to an identified user and serving as a unique identifier of the identified user, the enrollment signature including an enrollment determinate vector generated based on supplying enrollment gait data to a deep neural network for processing. The method further includes obtaining verification determinate vector(s), the verification determinate vector(s) for comparison to the enrollment signature to determine whether the subject user is the identified user.

Abstract: Behavioral verification of user identity includes building a deep neural network for gait-based behavioral verification of user identity. The building includes receiving movement data describing movement, in multiple dimensions, of computer system(s) of user(s), the movement data including sensor data acquired from sensor(s) of the computer system(s). The building further includes performing pre-processing of the movement data to provide processed movement data for processing by a deep neural network to extract local patterns, and training the deep neural network using the processed movement data. The method also includes providing the trained deep neural network for gait-based behavioral verification of user identity based on determinate vectors output from the trained deep neural network.