Abstract: There are provided high power laser perforating tools and methods of delivering laser energy patterns that enhance the flow of energy sources, such as hydrocarbons, from a formation into a production tubing or collection system. These tools and methods precisely deliver predetermined laser beam energy patterns, to provide for custom geometries in a formation. The patterns and geometries are tailored and customized to the particular geological and structural features of a formation and reservoir.

Abstract: In an embodiment, a computer-implemented method for a MAC addresses synchronization mechanism for a bridge port failover is disclosed.

Abstract: Methods, systems and apparatuses are described to detect and resolve device configuration and/or communication incompatibilities (e.g. incompatible messages, improper addressing, malfunctions) for a communication protocol such as HDMI-CEC.

Abstract: An asset location and management system, the system including multiple reader nodes, each reader node having a Bluetooth Low Energy (BLE) radio in communication with a plurality of peripheral devices, a local service module and a communications manager in communication with a cloud server. The system further including the cloud server having a communication module, a process flow library to describe how peripheral devices are expected to move through a facility, a rules library describing trigger events associated with one or more peripheral device and identifying a corresponding action for each trigger event, and a real-time compute engine to generate a sequence of events based on the data from the peripheral devices and the process flow library.

Abstract: Methods, server, devices and registered terminals for requiring approval of toll charges are provided. A server receives, from a fixed communication device at a toll booth location, a tollway transponder identifier of a vehicle tollway transponder on a vehicle. The server determines whether a registered terminal is associated with the tollway transponder identifier. Responsive to determining that the registered terminal is associated with the tollway transponder identifier, a toll approval request message is transmitted to the registered terminal, which sends a response message back to the server. The server determines if a location of the registered terminal is within a defined distance from the toll booth location. Responsive to the location of the registered terminal being within the defined distance, the server triggers a toll charge against an account associated with the tollway transponder identifier when the response message indicates approval of the toll.

Abstract: A system and method for identifying a value gap in a patent portfolio strategy of an organization. A processor of a computing system defines a first data cluster that includes a first plurality of focus areas that are ranked according to an internal ranking of the organization, and a second data cluster that includes a second plurality of focus areas having a universal market significance. A patent worthiness is ranked so that the second plurality of focus areas is ranked according to a universal ranking. A Kemeny distance is calculated between the internal ranking and the universal ranking for each focus area of the first plurality of focus areas. A loss function is applied using the Kemeny distance to calculate the value gap score which defines a business penalty for the misalignment between the patent portfolio strategy of the organization and a universal market focus.

Abstract: Methods and devices for enriching a molecular component within a sample. Certain embodiments include a rigid body, a malleable adhesive, and a nanoporous layer coupled to the rigid planar substrate.

Abstract: An automatic heuristic deporting-based modeling system is described. The system constructs a state of a space graph data structure. The data structure contains a number of nodes, each corresponding to a different machine learning model instance. Each stores a model type of the model instance, model parameter values of the model instance, and data features of the model instance. The contents of the data structure can be used to discern a model evolution history and select a model instance suited to a new machine learning project.

Abstract: This disclosure provides a pre-mixed lost circulation treatment that can be pre-mixed ahead of time at a plant and delivered to a drilling site in one or more transport containers because the pre-mixture having a shelf life of at least one month and possibly longer. Because the components of the lost circulation treatment are mixed at a controlled mix site, the consistency of the lost circulation treatment is improved and can be better maintained from one lost circulation treatment to another. Further, one or more of the components of the pre-mixed treatment can be placed in a portable tote container that can be quickly and easily transported to the drilling site upon demand, or the tote can be delivered to the drilling site before a lost circulation zone is actually encountered.

Abstract: A method includes identifying a statistical performance of a monitoring rule associated with an asset monitoring system. The monitoring rule includes logic configured to identify one or more faults with at least one asset, and the statistical performance includes an effectiveness of the monitoring rule in identifying the one or more faults. The method also includes identifying an economic performance of the monitoring rule, where the economic performance is based on costs associated with different outcomes of the monitoring rule. The method further includes updating or replacing the monitoring rule based on the economic performance.

Abstract: The presently disclosed systems and methods collect information associated with client instances, and use the information associated with the instances. In particular, information related to database servers and/or applications servers providing the instance may be retrieved from databases that store information relating to instances, and written and saved in an instance configuration file. Moreover, instances may be deployed or provisioned by reading an instance configuration file and setting properties of the instance using the parameters saved in the instance configuration file. Two instance configuration files may be compared to determine differences between the two files. Additionally, the instance may be reverted back to the previously healthy version of the instance using the previous instance configuration file.

Abstract: The presently disclosed systems and methods collect information associated with client instances, and use the information associated with the instances. In particular, information related to database servers and/or applications servers providing the instance may be retrieved from databases that store information relating to instances, and written and saved in an instance configuration file. Moreover, instances may be deployed or provisioned by reading an instance configuration file and setting properties of the instance using the parameters saved in the instance configuration file. Two instance configuration files may be compared to determine differences between the two files. Additionally, the instance may be reverted back to the previously healthy version of the instance using the previous instance configuration file.

Abstract: A central processing unit (CPU) may be directly coupled to an accelerator dual in-line memory module (DIMM) card that is plugged into a DIMM slot. The CPU may include a master memory controller that sends requests or offloads tasks to the accelerator DIMM card via a low-latency double data rate (DDR) interface. The acceleration DIMM card may include a slave memory controller for translating the received requests, a decoder for decoding the translated requests, control circuitry for orchestrating the data flow within the DIMM card, hardware acceleration resources that can be dynamically programmed to support a wide variety of custom functions, and input-output components for interfacing with various types of non-volatile and/or volatile memory and for connecting with other types of storage and processing devices.

Abstract: A biometrically encrypted access policy is provided. A commercial transaction request to access a client-supported institution received from a client device is identified. A database structure associates each of a plurality of client-supported institutions with one or more respective biometric tokens for authentication. A one-time password is associated with the client-supported institution based on biometric tokens. An encrypted code is associated with the client-supported institution based on biometric tokens. A encrypted OTP is transmitted to client device, and instructions to capture a biometric scan data via the client device are generated based on parameters of biometric tokens. A decryption key is generated via the client device, and the decryption key is determined to authenticate the user of the client device, and, in response, the commercial transaction request to access the client-support institution is approved.

Abstract: A device may configure a state of a data plane to test the state of the data plane using a set of components. The device may provide a set of packets from a first virtual component of the device to a first port of the device. The first virtual component may include a first virtual representation of a first device. The first virtual component may be included in the set of components. The device may loop back the set of packets at the first port of the device based on providing the set of packets to the first port. The device may perform an action based on the state of the data plane in association with looping back the set of packets at the first port. The device may determine whether a test of the state of the data plane is associated with a pass status or a fail status.

Abstract: An end user premises device includes a memory, one or more transceivers, and one or more processors. The one or more processors are configured to receive a user request for data and determine a time to retrieve the data that is during an off-peak time for a network. The retrieval time is determined based on a time when the data will likely be accessed by a client device. At the determined retrieval time, the data is retrieved via the network and stored in the memory. In response to another user request, the data is transmitted to the client device. The one or more processors are optionally also configured to predict data that will likely be accessed by the client device and to retrieve the predicted data during an off-peak time for the network and before a time when the data will likely be accessed.

Abstract: Systems and methods of the present disclosure relate generally to a data processing system that identifies possibly manipulated or fraudulent digital components in a computer network environment. The data processing system can improve the efficiency and effectiveness of data packet (or other protocol based) transmission over one or more computer networks by, for example, preventing or reducing the number of manipulated or fraudulent digital component transmissions.

Abstract: A production host that hosts virtual machines includes a physical disk and a backup agent. The physical disk is utilized by a virtual machine of the virtual machines. The backup agent obtains a backup generation request; makes a first determination that the backup generation request impacts the physical disk; in response to the first determination: generates a mirror virtual disk for the physical disk; generates a backup of the mirror virtual disk as a backup of the physical disk; and stores the backup of the mirror virtual disk in backup storage.

Abstract: A production host for hosting virtual machines includes a persistent storage and a production agent. The persistent storage stores virtual machine data of the virtual machines. The production agent obtains a dynamic backup generation rule for the virtual machines; for a predetermined period of time after obtaining the dynamic backup generate rule: generates first backups of the virtual machines based on the dynamic backup generate rule; and identifies a change rate of the virtual machine data; after the predetermined period of time, obtain a prediction-based backup generation rule that is based on the change rate of the virtual machine data over the predetermined period of time; and generates second backups of the virtual machines based on the prediction-based backup generation rule.

Abstract: Example implementations relate to transposed passwords. A computing device may comprise a processing resource; and a memory resource storing machine-readable instructions to cause the processing resource to: receive an entered password; generate, based on the entered password, a transposed version of the entered password; compare the transposed version of the password to a stored password; and grant access based on the comparison.