Abstract: Methods, computer systems, and computer-storage media, and graphical user interfaces are provided for facilitating efficient meeting management, according to embodiments of the present technology. In one embodiment, engagement data associated with an attendee of an online meeting is obtained. Thereafter, an engagement metric is generated using the engagement data, the engagement metric indicating an extent of engagement of the attendee to the online meeting. Based on the engagement metric indicating that the extent of engagement of the attendee to the online meeting falls below an engagement threshold, a request is provided to disconnect or throttle an audio and/or video stream of the online meeting to and/or from an attendee device associated with the attendee of the online meeting. Efficient meeting management may also be performed by clustering related messages.

Abstract: The present disclosure relates to an apparatus (100) for distributing supply of power to one or more loads, the apparatus includes a switchboard (102) that includes one or more first connectors (106), configured to supply power to corresponding one or more loads, and configured to receive an input power supply, one or more smart-devices (104) associated with corresponding one or more loads, and electrically couple with corresponding one or more first connectors. A processor (114) configured to receive, the input pertaining to parameters of power to be supplied to the associated load, and operate a regulator to supply power to the corresponding coupled first connector according to the received parameters, wherein the power supplied to the corresponding coupled first connector is transmitted to the associated load to operate the associated load.

Abstract: Provided is a system to provide natural utterance by a voice assistant and method thereof, wherein the system comprises an automatic speech recognition module for converting one or more unsegmented voice inputs into textual format in real-time. Further, a natural language understanding module extracts the information and intent of the user from the converted textual inputs, wherein the natural language understanding module comprises a communication classification unit for classifying the user inputs into one or more pre-defined classes. Further, the system comprises a processing module for analyzing and processing the inputs from the natural language understanding module and activity identification module, wherein the processing module provides real-time intuitive mingling responses based on the responses, contextual pauses and ongoing activity of the user.

Abstract: Methods, systems, and devices for wireless communications are described. In some aspects, a user equipment (UE) may be configured with multiple bandwidth parts (BWPs) and may support multiple subscriber identification modules (SIMs) (e.g., may operate in a multi-SIM (MSIM) mode). The UE may tune away from a default data SIM (DDS) subscription for a tune away gap and may miss any downlink signaling, such as an indication of a BWP switch, for a duration of the tune away. To avoid latency resulting from such missed downlink signaling, the UE may support a mechanism according to which the UE may autonomously switch to a different BWP despite a missed command from a network entity. Such a mechanism may include transmission of a scheduling request (SR) on each of multiple BWPs configured for the UE and monitoring each of the multiple BWPs for signaling responsive to the SR.

Abstract: Some embodiments of the invention provide a method for collecting metric values relating to operations of a set of one or more resources executing on host computers in a datacenter. In some embodiments, the method hierarchically collects and analyzes samples, with a first set of samples collected and analyzed in the data plane, and a second set of samples collected and analyzed in the control plane by aggregating the samples collected in the data plane. In some embodiments, the data plane includes host computers on which sample collecting engines (e.g., service engines) execute, while the control plane includes a set of one or more servers that obtains sample data collected by the host computers, and aggregates and analyzes this data.

Abstract: A method for optimizing a UI of an application in an electronic device is provided. The method includes detecting, by the electronic device, at least one first application installed in the electronic device, determining, by the electronic device, at least one data item associated with at least one UI of the at least one first application to be modified, modifying, by the electronic device, the at least one data item associated with the at least one UI of the at least one first application based on a level of proficiency of a user with an already used application in the electronic device, and displaying, by the electronic device, the at least one UI with the at least one modified data item of the at least one first application.

Abstract: Apparatus, methods, and computer-readable media for facilitating power savings while monitoring for paging messages and wakeup signals are disclosed herein. An example method for wireless communication at a UE includes receiving an indication of an active BWP associated with an ON duration of a DRX cycle. The example method also includes monitoring a first bandwidth for a WUS at a WUS occasion of the DRX cycle, the first bandwidth corresponding to a subset of the active BWP. The example method also includes transitioning to an awake state for the ON duration when the WUS is received at the WUS occasion.

Abstract: A method for authorization of multiple transactions using a single authentication process is described. The method includes determining that a user is an authorized user based on user credentials associated with the user; authorizing a transaction device identified by the authorized user for future electronic transactions with one or more restrictions; and providing previously stored payment card information associated with a user account of the authorized user for electronic transactions initiated at the authorized transaction device in accordance with the one or more restrictions.

Abstract: A lubricating oil composition including a major amount of a base oil, one or more calcium-containing detergents to provide at least 1000 ppmw of calcium, and one or more silicon-containing compound(s) to provide at least 50 ppmw of silicon to the lubricating oil composition, all based on the total weight of the lubricating oil composition, wherein a ratio of ppmw of silicon provided by the one or more silicon-containing compound(s) to the lubricating oil composition to the ppmw of calcium provided by the one or more calcium-containing detergent(s) to the lubricating oil composition is from 0.02 to 1. Methods of using these compositions and silicon-containing detergents are also described.

Abstract: A method of controlling an electronic device is provided. The method includes transmitting a communication signal to a plurality of candidate devices in the vicinity of the electronic device, generating a function code including configuration information of the electronic device, receiving candidate function codes including configuration information of the plurality of candidate devices from the plurality of candidate devices based on the communication signal, and when a feature of the plurality of candidate devices is determined to be similar to a feature of the electronic device based on the candidate function condes, generating at least one of an alert signal or a setting signal based on whether the function code matches the candidate function codes.

Abstract: The present disclosure provides a loading tube to be used in a perforating gun. The loading tube is capable of securely engaging with shaped charges while maintaining the structural integrity and being made by injection molding.

Abstract: Some embodiments provide a novel method for dynamically adjusting sampling rates of a middlebox service. In some embodiments, the method is performed by the controller. The method configures the forwarding element to collect samples from packets processed by the forwarding element at a first sampling rate. The method analyzes the samples in order to collect information regarding the packets processed by the forwarding element. Based on the analysis, the method detects a new traffic pattern in the packets processed by the forwarding element. The method then configures the forwarding element to collect samples from packets processed by the forwarding element at a second sampling rate different than the first sampling rate.

Abstract: Described are systems and methods for automatically generating, by a computing device, a regular expression that matches a list of input strings. A method includes identifying a set of baseline regular expression classes that match a portion of an input string of the list of input strings. The method further generates a current regular expression as a sequence of baseline regular expression classes from the set of baseline regular expression classes based on matching baseline regular expression classes to characters of a first input string of the list of input strings. The method further determines whether the current regular expression matches all input strings of the list of input strings, and if it does not, the method regenerates a portion of the current regular expression that occurs after an earliest character, in order, of one of the one or more input strings, that does not match the current regular expression.

Abstract: A system and method for generating an optimized image with scribble-based interactive image segmentation model using a machine learning are provided. The method includes, (i) segmenting, using a machine learning model, an image to classify into classes each class is represented with a label, (ii) displaying the classified image which specifies the classes on the classified image with outlines, (iii) enabling a user to scribble on the classified image to annotate the classes if an area is not classified, (iv) assigning a color mask for each scribbled area, (v) computing, using the machine learning model, a loss function for a location of pixels based on color mask, (vi) modifying pre-defined weights for each scribbled area to match the annotated image and a determined class on the classified image, and (vii) generating the optimized image if the annotated image is matched with the determined class on the classified image.

Abstract: A system and method generating an optimized medical image using a machine learning model are provided. The method includes (i) receiving one or more medical images, (ii) segmenting to generate a transformed medical image for detecting a plurality of target elements, (iii) displaying the transformed medical image, (iv) receiving markings and scribblings associated with scribble locations from a user, (v) identifying errors associated with an outline of a target element, (vi) computing a loss function for a location of pixels where the target element is located on the transformed medical image, (vii) modifying the pre-defined weights (w) to match the segmentation output and the determined target element, (viii) determining whether the segmentation output is matched with the target element and (ix) generating the optimized medical image if the segmentation output is matched with the determined target element.

Abstract: A method for decoding an audio query may include: extracting one or more acoustic features from the audio query in response to receiving the audio query from a user; determining a generic word and a domain specific word based on the one or more acoustic features; and decoding the audio query based on the generic word, the domain specific word, and the one or more acoustic features to identify at least one word associated with the audio query.

Abstract: Disclosed herein are systems and methods that identify and improve upon false positive scores. Some embodiments may include artificial neural network learning methods that utilize data input from users as well as enterprise machines. Information, such as transaction timing, prior transaction data, and demographics, may be taken as inputs to the neural network processing. The processing may be done on one or more neural network computers or nodes.

Abstract: Embodiments of the present disclosure relate to assisting forwarding of multicast traffic over Ethernet Virtual Private Network (EVPN) from a multicast source to a host multi-homed to multiple provider edge (PE) devices. Embodiments are based on the inclusion of an Ethernet Segment Identification (ESI) to EVPN type-6 routes advertised by PE devices which received a multicast Join message. Other PE devices receiving such routes are able to determine whether they belong to the ES identified by the ESI and to determine whether they are designated forwarders (DFs) for the host. Furthermore, PE devices which are the DFs are configured to re-originate the EVPN type-6 routes, i.e. re-send the advertisements, indicating themselves as DFs. This ensures that a remote PE device associated with the multicast source will also send multicast traffic to such DF PE devices, which, in turn, would allow the multicast traffic to successfully reach the host.

Abstract: A method for optimizing a UI of an application in an electronic device is provided. The method includes detecting, by the electronic device, at least one first application installed in the electronic device, determining, by the electronic device, at least one data item associated with at least one UI of the at least one first application to be modified, modifying, by the electronic device, the at least one data item associated with the at least one UI of the at least one first application based on a level of proficiency of a user with an already used application in the electronic device, and displaying, by the electronic device, the at least one UI with the at least one modified data item of the at least one first application.

Abstract: Some embodiments of the invention provide a method for collecting metric values relating to operations of a set of one or more resources executing on host computers in a datacenter. In some embodiments, the method hierarchically collects and analyzes samples, with a first set of samples collected and analyzed in the data plane, and a second set of samples collected and analyzed in the control plane by aggregating the samples collected in the data plane. In some embodiments, the data plane includes host computers on which sample collecting engines (e.g., service engines) execute, while the control plane includes a set of one or more servers that obtains sample data collected by the host computers, and aggregates and analyzes this data.