Abstract: Distributed computing systems, devices, and associated methods of packet processing are disclosed herein. One example method includes receiving a packet having a header with a protocol field, a source address field, a source port field, a destination address field, and a destination port field individually containing a corresponding value. The method also includes extracting the values of the protocol field, the source address field, the source port field, the destination field, and the destination port field, determining whether a first match action table (“MAT”) contains an entry indexed to the extracted values, and in response to determining that the first MAT does not contain an entry indexed to the extracted values, using a subset of the extracted values to identify an entry in a second MAT.

Abstract: A forced upgrade technique for airgapped network management system (NMS) deployments utilizes a package upgrade record. The package upgrade record includes metadata about a target major version of a software package for the NMS deployment, and is generated by an update server that is airgapped from the NMS deployment. A control server of the NMS deployment determines whether the package upgrade record has been provided to the control server. Access to a user interface of the control server is denied in response to the package upgrade record not having been provided to the control server within an upgrade check window, while access to the user interface of the control server is permitted in response to the package upgrade record having been provided to the control server. Additionally, the NMS deployment may be forced to upgrade the software package to the target major.

Abstract: The present invention is related to data processing methods and systems thereof. According to an embodiment, the present invention provides a method of processing documents using a machine learning model. The process begins by accessing data files and extracting information from them, which is subsequently stored. This document information, along with the machine learning model trained on various document formats, is used to classify the data files and generate tabular data. From this tabular data, data objects are created and included in an output data file. The information from the output file is then used to update the data of the machine learning model, optimizing it for improved future document processing. There are other embodiments as well.

Abstract: The present invention relates to the novel formulation for sustained or delayed release of rohitukine-rich Dysoxylum binectariferum extract/fraction and a process for preparing the same wherein the extract is wet-granulated using excipients i.e. biodegradable polymers and/or non-biodegradable polymers alone or in combination, and the said granules are either filled into a capsule or compressed into a tablet. The said formulation comprising a granulated extract/fraction of rohitukine-rich Dysoxylum binectariferum with polymers has resulted in a sustained release of the extract or fraction over a period of 16-24 hrs. The said formulations are useful in the treatment of inflammatory diseases.

Abstract: Generally discussed herein are devices, systems, and methods for globally accessible virtual private network (VPN) as a service. A method can include receiving a domain name request at a domain name system (DNS), the domain name request being received from a tenant premise equipment and including a domain name of a plurality of domain names associated with a VPN service, identifying, by the DNS and based on the domain name, an Internet Protocol (IP) address of a node of nodes dedicated to servicing traffic of the domain name, and establishing, by the DNS, a VPN tunnel between the tenant premise equipment and the identified node.

Abstract: Generally discussed herein are devices, systems, and methods for globally accessible virtual private network (VPN) as a service. A method can include receiving a domain name request at a domain name system (DNS), the domain name request being received from a tenant premise equipment and including a domain name of a plurality of domain names associated with a VPN service, identifying, by the DNS and based on the domain name, an Internet Protocol (IP) address of a node of nodes dedicated to servicing traffic of the domain name, and establishing, by the DNS, a VPN tunnel between the tenant premise equipment and the identified node.

Abstract: A network interface controller (NIC) associated with a virtual machine (VM) in a cloud computing network is configured to be flexibly attached and detached from a parent NIC to thereby enable the virtual machine to simultaneously be attached to multiple different virtual networks (VNets) and/or subnets that are associated with the same or different subscriptions. The inventive NIC, referred to herein as a flexibly extensible NIC (eNIC), enables a service provider to inject compute instances into an existing VNet using a multi-homing configuration in which the data plane uses a dedicated network interface to connect the customer's VNet, while another dedicated network interface provides management plane connectivity to the service provider. Such multi-VNet homing advantageously provides data plane isolation for the customer's VNet to comply with applicable security policies without disrupting management traffic between the injected resources and the service provider.

Abstract: In some examples, a system provides a data structure containing an entry to store information for an object for sharing by a plurality of entities. The system allocates the object to a first entity of the plurality of entities based on an atomic access of the entry, the atomic access to update, in one operation, multiple information elements in the entry relating to allocation of the object. The system returns, to the first entity, a handle to the object, the handle based on a value in the entry.

Abstract: A system and method for generation of a user feedback data is provided. The method encompasses extracting in real time, from social media platform(s), a set of social media posts, wherein each social media post comprises mention(s) related to e-commerce platform(s). The method thereafter encompasses categorizing, each social media post into one of a promotional post and non-promotional post. The method further comprises identifying, a sentiment associated with each social media post. Further, the method encompasses assigning, a customer experience node and/or a business unit with the social media post(s). The method thereafter leads to removing, irrelevant posts from the set of social media posts. The method then generates the user feedback data based on the removal of the at least one irrelevant post and the assigned customer experience node, the assigned business unit and/or the sentiment of each social media post.

Abstract: A composition comprising: (i) an electrically non-conductive fiber having a surface; and (ii) piezoelectric particles adhered to the surface of said electrically non-conductive fiber, and optionally, (iii) a sizing agent (e.g., epoxy) coated over the piezoelectric particles and surface of the electrically non-conductive fiber. Also described are composites in which the above fiber composition is embedded within a matrix, e.g., a polymer, ceramic, or glassy carbon matrix. Also described is a method for producing a passive sensing fiber composition by: coating a fiber having a surface with a liquid suspension containing piezoelectric particles suspended in a solvent; and removing the solvent to result in the piezoelectric particles adhered to the surface of the fiber. Also described are methods for detecting formation of defects in a material and methods of generating electrical energy from ambient vibration by use of the above described fiber compositions and composites thereof.

Abstract: Methods, apparatus, and processor-readable storage media for proactively predicting large orders and providing fulfillment support related thereto are provided herein. An example computer-implemented method includes classifying, via a first set of one or more machine learning techniques, a transaction quote as a transaction quote that exceeds one or more size-related parameters or a transaction quote that does not exceed the one or more size-related parameters; determining, if the transaction quote is classified as a transaction quote that exceeds one or more size-related parameters, supportability of converting the transaction quote into a transaction order via a second set of one or more machine learning techniques; and outputting, based on the determined supportability, information pertaining to converting the transaction quote into a transaction order and fulfilling the transaction order to one or more entities associated with transaction order fulfillment.

Abstract: Techniques of partition abstraction in a wide area network are disclosed herein. In one example, a method includes receiving, at a partition of the wide area network, a request to perform a computing task with a computing resource in the wide area network, the computing resource having a resource identifier. In response to receiving the request, the method also includes determining whether the resource identifier of the computing resource includes a partition embedded globally unique identifier (PEGUID) and in response to determining that the resource identifier includes a PEGUID, extracting the PEGUID from the resource identifier and decoding the PEGUID to identify a partition corresponding to the computing resource.

Abstract: A network interface controller (NIC) associated with a virtual machine (VM) in a cloud computing network is configured to be flexibly attached and detached from a parent NIC to thereby enable the virtual machine to simultaneously be attached to multiple different virtual networks (VNets) and/or subnets that are associated with the same or different subscriptions. The inventive NIC, referred to herein as a flexibly extensible NIC (eNIC), enables a service provider to inject compute instances into an existing VNet using a multi-homing configuration in which the data plane uses a dedicated network interface to connect the customer's VNet, while another dedicated network interface provides management plane connectivity to the service provider. Such multi-VNet homing advantageously provides data plane isolation for the customer's VNet to comply with applicable security policies without disrupting management traffic between the injected resources and the service provider.

Abstract: Methods, apparatus, and processor-readable storage media for dynamically determining customer intent and related recommendations using deep learning techniques are provided herein.

Abstract: In some examples, a system provides a data structure containing an entry to store information for an object for sharing by a plurality of entities. The system allocates the object to a first entity of the plurality of entities based on an atomic access of the entry, the atomic access to update, in one operation, multiple information elements in the entry relating to allocation of the object. The system returns, to the first entity, a handle to the object, the handle based on a value in the entry.

Abstract: Systems and methods for monitoring a change to a region of interest over time are disclosed. Exemplary embodiments may: (a) apply one or more layers of a stress-sensitive material to an object of interest; (b) incorporate the object of interest into a region of interest; (c) insert the region of interest with stress-sensitive material into an electrical capacitance tomography (ECT) device to interrogate the region of interest; (d) generate a first map of the region of interest based on captured information from the ECT device; (e) after a first length of time, repeat steps (c)-(d) to generate a second map of the region of interest; and (f) compare the first map to the second map to determine changes to the region of interest based on changes to the stress-sensitive material.

Abstract: A method and apparatus for generating reports. A computer system displays an application with fields in a graphical user interface on a display system. The application is used to perform transactions for an organization. The computer system identifies a group of the fields displayed in the graphical user interface that is selectable for use in a group of the reports. The computer system displays a group of graphical indicators in association with the group of the fields in the graphical user interface. The computer system receives a selection of a portion of the group of the fields displayed in the graphical user interface in user input. The computer system creates the group of the reports using the portion of the group of the fields. The computer system sends the group of the reports to an output device, enabling performing an operation for the organization using the group of the reports.

Abstract: Methods, apparatus, and processor-readable storage media for image-based search and recommendation techniques implemented via artificial intelligence are provided herein. An example computer-implemented method includes detecting, in response to a user search query comprising an image, an object in the image by applying one or more artificial intelligence algorithms to the image; determining one or more features of the object by applying the one or more artificial intelligence algorithms to one or more portions of the image containing at least a portion of the object; identifying the detected object as a particular enterprise offering based at least in part on the one or more determined features of the object; determining one or more additional enterprise offerings based at least in part on the identified enterprise offering; outputting, to the user, information pertaining to the identified enterprise offering and information pertaining to the one or more additional enterprise offerings.

Abstract: A method and apparatus for generating reports. A computer system displays an application with fields in a graphical user interface on a display system. The application is used to perform transactions for an organization. The computer system identifies a group of the fields displayed in the graphical user interface that is selectable for use in a group of the reports. The computer system displays a group of graphical indicators in association with the group of the fields in the graphical user interface. The computer system receives a selection of a portion of the group of the fields displayed in the graphical user interface in user input. The computer system creates the group of the reports using the portion of the group of the fields. The computer system sends the group of the reports to an output device, enabling performing an operation for the organization using the group of the reports.

Abstract: Methods, apparatus, and processor-readable storage media for image-based search and recommendation techniques implemented via artificial intelligence are provided herein. An example computer-implemented method includes detecting, in response to a user search query comprising an image, an object in the image by applying one or more artificial intelligence algorithms to the image; determining one or more features of the object by applying the one or more artificial intelligence algorithms to one or more portions of the image containing at least a portion of the object; identifying the detected object as a particular enterprise offering based at least in part on the one or more determined features of the object; determining one or more additional enterprise offerings based at least in part on the identified enterprise offering; outputting, to the user, information pertaining to the identified enterprise offering and information pertaining to the one or more additional enterprise offerings.