Abstract: A method and/or system for automated simulation of releases in Agile environments is disclosed. The system is an automated simulation engine comprising—release simulation engine to perform simulate at program or release level and sprint simulation engine to perform simulation at sprint level. The system enables user to simulate execution pattern of user stories, identify spillover user stories and risks in the execution pattern simulated by the system and re-run the simulation iteratively by modifying various project related parameters to arrive at an optimal release plan for projects in Agile environment before the actual allocation to project teams, thereby foreseeing the possible risks and mitigating them for efficient project delivery.

Abstract: Systems and methods provide customers with a need-based warranty using a deep learning neural network. After categorizing, a customer need is mapped to a warranty type based on the SLA needs. Warranties may then be suggested based on customer need. In another embodiment, systems and methods detect an optimal warranty based on part failure and performance of a server. A mean time to resolve or replace can be minimized in future failure instances by comparing the derived replacement time with available warranty offerings to identify potential deviations and thereby recommend an optimal warranty from the available offerings. In a further embodiment, systems and methods identify and offer additional service contracts for vender services. A warranty proposer looks for warranty types that are emitted by a warranty-types analyzer and by a technical-support analyzer. The overlapping warranty offers are provided to customers.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: Embodiments are related to processing of one or more input audio feeds for generation of a target audio stream that includes at least one object of interest to a listener. In some embodiments, the target audio stream may exclusively or primarily include the sound of the object of interest to the listener, without including other persons. This allows a listener to focus on an object of his or her interest and not necessarily have to listen to the performances of other objects in the input audio feed. Some embodiments contemplate multiple audio feeds and/or with multiple objects of interest.

Abstract: Embodiments are related to processing of one or more input audio feeds for generation of a target audio stream that includes at least one object of interest to a listener. In some embodiments, the target audio stream may exclusively or primarily include the sound of the object of interest to the listener, without including other persons. This allows a listener to focus on an object of his or her interest and not necessarily have to listen to the performances of other objects in the input audio feed. Some embodiments contemplate multiple audio feeds and/or with multiple objects of interest.

Abstract: Facilitation of transfer of pre-operating system (pre-OS) data to a persistent store is enabled relative to an operation performed external to the OS. A system can comprise a processor, and a memory that stores computer executable instructions that, when executed by the processor, can facilitate performance of operations. The operations can comprise writing data relative to a pre-OS environment to a partition external to an operating system (OS) partition, and, in response to a reboot operation, booting an OS and transferring the data or a copy of the data to the OS partition. Alternatively, the operations can comprise, writing data relative to an updating operation to a log accessible by an OS of the system, assigning a variable value to the log, automatically searching, while operating the OS, for the variable value, and copying or transferring the data relative to the OS via identifying the variable value upon the identification.

Abstract: Systems and methods provide customers with a need-based warranty using a deep learning neural network. After categorizing, a customer need is mapped to a warranty type based on the SLA needs. Warranties may then be suggested based on customer need. In another embodiment, systems and methods detect an optimal warranty based on part failure and performance of a server. A mean time to resolve or replace can be minimized in future failure instances by comparing the derived replacement time with available warranty offerings to identify potential deviations and thereby recommend an optimal warranty from the available offerings. In a further embodiment, systems and methods identify and offer additional service contracts for vender services. A warranty proposer looks for warranty types that are emitted by a warranty-types analyzer and by a technical-support analyzer. The overlapping warranty offers are provided to customers.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: The present disclosure provides a method [200] and system [100] for identifying a target order item. The method encompasses identifying, by an identification unit [102], one or more active order items associated with one or more users and one or more features of the one or more active order items. Further the method encompasses determining, by a processing unit [104], a ranking score of the one or more active order items based on the feature(s) of the one or more active order items. The method then leads to comparing, by the processing unit [104], the ranking score of the active order item(s) with a threshold ranking score. Further, the method encompasses identifying, by the identification unit [102], the target order item based at least on a successful comparison of a ranking score of a first active order item from the active order item(s) with the threshold ranking score.

Abstract: An example hydraulic motor comprises: a stator comprising (i) a stator body having plurality of roller pockets, wherein the stator body comprises a plurality of grooves that are longitudinally-extending, and (ii) a plurality of rollers disposed respectively in the plurality of roller pockets; a rotor having a plurality of external teeth configured to engage with the plurality of rollers of the stator, such that the plurality of rollers and the plurality of external teeth define fluid chambers therebetween configured to expand and contract as the rotor rotates within the stator; and an anti-cogging passage configured to provide pressurized fluid from at least one of the fluid chambers to at least one groove of the plurality of grooves of the stator body, such that pressurized fluid provided to the at least one groove applies a radially-inward force on a respective roller toward the rotor.

Abstract: Embodiments of systems and methods for verification of software packages prior to deployment on an Information Handling System (IHS) are described. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions for identifying a configuration characteristic of at least one resource of a client IHS that a software package depends upon to operate on the client IHS, and updating a data structure to indicate the identified software package dependency to the configuration characteristic. When the client IHS requests to be upgraded with the software package, the instructions access the data structure to determine whether or not the configuration characteristic meets the identified software package dependency, allows or inhibits the software upgrade based on if the configuration characteristic meets the identified software package dependency.

Abstract: An example hydraulic motor comprises: a stator comprising (i) a stator body having plurality of roller pockets, wherein the stator body comprises a plurality of grooves that are longitudinally-extending, and (ii) a plurality of rollers disposed respectively in the plurality of roller pockets; a rotor having a plurality of external teeth configured to engage with the plurality of rollers of the stator, such that the plurality of rollers and the plurality of external teeth define fluid chambers therebetween configured to expand and contract as the rotor rotates within the stator; and an anti-cogging passage configured to provide pressurized fluid from at least one of the fluid chambers to at least one groove of the plurality of grooves of the stator body, such that pressurized fluid provided to the at least one groove applies a radially-inward force on a respective roller toward the rotor.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: Embodiments are related to processing of one or more input audio feeds for generation of a target audio stream that includes at least one object of interest to a listener. In some embodiments, the target audio stream may exclusively or primarily include the sound of the object of interest to the listener, without including other persons. This allows a listener to focus on an object of his or her interest and not necessarily have to listen to the performances of other objects in the input audio feed. Some embodiments contemplate multiple audio feeds and/or with multiple objects of interest.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: Embodiments are related to processing of one or more input audio feeds for generation of a target audio stream that includes at least one object of interest to a listener. In some embodiments, the target audio stream may exclusively or primarily include the sound of the object of interest to the listener, without including other persons. This allows a listener to focus on an object of his or her interest and not necessarily have to listen to the performances of other objects in the input audio feed. Some embodiments contemplate multiple audio feeds and/or with multiple objects of interest.

Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: Devices (e.g., client media receivers), methods, and program products are provided enabling personal network streaming and concurrent Wide Area Network (WAN) access. In embodiments, the method is carried-out by a client media receiver utilized with a Personal Video Recorder (PVR) and a display device. The method includes the step or process of identifying a user desire to conduct a wireless PVR viewing session utilizing the receiver, while maintaining wireless access to a WAN. When identifying such a user desire, the receiver: (i) creates a personal Local Area Network (LAN) enabling wireless communication between the receiver and the PVR, and (ii) establishes Dual Virtual Antenna (DVA) parameters defining first and second virtual antennae assigned to the WAN and to the personal LAN, respectively. The second virtual antenna is then utilized to support a wireless PVR viewing session, while WAN data is concurrently routed through the first virtual antenna as needed.

Abstract: Devices (e.g., client media receivers), methods, and program products are provided enabling personal network streaming and concurrent Wide Area Network (WAN) access. In embodiments, the method is carried-out by a client media receiver utilized with a Personal Video Recorder (PVR) and a display device. The method includes the step or process of identifying a user desire to conduct a wireless PVR viewing session utilizing the receiver, while maintaining wireless access to a WAN. When identifying such a user desire, the receiver: (i) creates a personal Local Area Network (LAN) enabling wireless communication between the receiver and the PVR, and (ii) establishes Dual Virtual Antenna (DVA) parameters defining first and second virtual antennae assigned to the WAN and to the personal LAN, respectively. The second virtual antenna is then utilized to support a wireless PVR viewing session, while WAN data is concurrently routed through the first virtual antenna as needed.

Abstract: Embodiments are related to processing of one or more input audio feeds for generation of a target audio stream that includes at least one object of interest to a listener. In some embodiments, the target audio stream may exclusively or primarily include the sound of the object of interest to the listener, without including other persons. This allows a listener to focus on an object of his or her interest and not necessarily have to listen to the performances of other objects in the input audio feed. Some embodiments contemplate multiple audio feeds and/or with multiple objects of interest.