Abstract: Disclosed is a method implemented in an MHS host for managing a plurality of MHS clients. The method includes: monitoring the plurality of MHS clients connected to the MHS host and a data usage of each of the plurality of MHS clients; displaying a list of the plurality of MHS clients and a statistic of the data usage of the plurality of MHS clients; providing an option to manage an MHS client from the plurality of MHS clients; providing, based on a selection of the MHS client, an option to set one at least one of a data limit or a time limit for the metered data usage for the selected MHS client; and controlling the data usage of the selected MHS client based on setting of the data limit or the time limit.

Abstract: An extensible platform-as-a-service (PaaS) system is used during the software development lifecycle (SDLC) processes of an application. The system facilitates the process of getting security approval for the application. The system allows developers to use software bundles including software modules that are pre-approved. The system allows a developer to customize one or more software modules of the software bundle if necessary. The system monitors the development of the application to check if the developer customizes any software module to use a configuration that is not pre-approved. The system automatically generates a report noting the customization to the software module and requests the security team to review the modified configuration for security approval.

Abstract: An electronic device and method for iterative enhancement of speech recognition, voice conversion, and text-to-speech models are disclosed. The electronic device receives a text dataset and a dataset associated with a speech recognition task. Speech recognition, voice conversion, and TTS conversion models are trained for corresponding tasks. The device further iteratively executes operations, which include: generating an augmented speech dataset via application of the trained voice conversion model, finetuning the TTS conversion model using the augmented speech dataset, applying the finetuned TTS conversion model to the text dataset to generate speech samples, applying the trained voice conversion model to the speech samples to create an augmented text-speech dataset, finetuning the speech recognition model utilizing the augmented text-speech dataset, and finetuning the trained voice conversion model using the finetuned speech recognition model.

Abstract: In a radar system, an intermediate frequency amplifier (IFA) is configured with two high-pass filter stages, each having an amplifier and a configurable impedance component. A control signal is activated as the radar system begins to transmit a chirp signal to lower the impedance of the configurable impedance components during an initial portion of the chirp transmission to achieve faster settling of the IFA output signal. After the initial portion, the control signal deactivates while transmission of the chirp continues to increase the impedance of the configurable impedance components to a level sufficient to effectively perform filtering of unwanted signals received by the radar system.

Abstract: Disclosed herein is a method, an Access Point (AP) device for creating a closed Wireless Fidelity (Wi-Fi) hotspot network, and a method, a station device for connecting to the closed Wi-Fi hotspot network. The AP device receives a first input for creating the closed Wi-Fi hotspot network, transmits an encryption key to the station device, which is present within a predefined region, over an in-band communication medium or an out-of-band communication medium, and creates the closed Wi-Fi hotspot network by communicating management frames in cipher text with the station device. The station device receives the encryption key and the management frames from the AP device; and transmits a connection request to the AP device for connecting to the closed Wi-Fi hotspot network. The communication of the management frames in the cipher text provides improved security against attacks associated with Wi-Fi hotspot networks.

Abstract: In an embodiment, a system includes: an analog-to-digital converter (ADC); a transmitter path; a receiver path including a first amplifier including: an output coupled to the ADC, and a first high-pass filter; and a controller coupled to the transmitter path and to the receiver path, where the controller is configured to: cause a corner frequency of the first high-pass filter to increase from a first value to a second value, simultaneously or after causing the corner frequency of the first high-pass filter to increase, cause the transmitter path to be enabled, and after a first signal begins transmission in the enabled transmitter path, and during transmission of the first signal in the enabled transmitter path, cause the corner frequency of the first high-pass filter to decrease from the second value to the first value.

Abstract: In an embodiment, a system includes: an analog-to-digital converter (ADC); a receiver path including a transimpedance amplifier having an output coupled to the ADC; and a controller coupled to the receiver path and configured to, upon detection of a jamming event of the receiver path, cause an increase in a transconductance of the transimpedance amplifier from a first transconductance value to a second transconductance value.

Abstract: An extensible platform-as-a-service (PaaS) system is used during the software development lifecycle (SDLC) processes of an application. The system, according to various embodiments, receives indications that changes are made to one or more templates or software bundles stored in a software library and coordinates how changes to a particular template will be applied to applications for an enterprise system. Specifically, the system may identify applications that are using the template and determine an ordering for a plurality of application groups that indicates a sequence in which the updates will be applied to the applications. In this manner, template updates can be automatically and systematically deployed to applications without significant involvement by users of the PaaS system.

Abstract: A method, a system and an electronic device are disclosed herein for providing a controlled transmission of a content pack from a primary electronic device 104 to the electronic device being used by a child. The primary electronic device 104 is configured to operate, via a server 108 in a communication network 106, a content delivery module 110 for delivering at least one part of the content pack. The electronic device is configured to receive the at least one part of the content pack from the primary electronic device 104, wherein the at least one part of the content pack is pre-selected from the content pack by a user associated with the primary electronic device 104.

Abstract: A device comprises a digital ramp generator, an oscillator, a power amplifier, a low-noise amplifier (LNA), a mixer, and an intermediate frequency amplifier (IFA). The oscillator generates a chirp signal based on an output from the digital ramp generator. The power amplifier receives the chirp signal and outputs an amplified chirp signal to a transmitter antenna. The LNA receives a reflected chirp signal from a receiver antenna. The mixer receives output of the LNA and combines it with the chirp signal from the oscillator. The IFA receives the mixer output signal and includes a configurable high-pass filter, which has a first cutoff frequency during a first portion of the chirp signal and a second cutoff frequency during a second portion of the chirp signal. In some implementations, the first cutoff frequency is chosen based on a frequency of a blocker signal introduced by couplings between the transmitter and receiver antennas.

Abstract: An extensible platform-as-a-service (PaaS) system is used during the software development lifecycle (SDLC) processes of an application. The system facilitates the process of getting security approval for the application. The system allows developers to use software bundles including software modules that are pre-approved. The system allows a developer to customize one or more software modules of the software bundle if necessary. The system monitors the development of the application to check if the developer customizes any software module to use a configuration that is not pre-approved. The system automatically generates a report noting the customization to the software module and requests the security team to review the modified configuration for security approval.

Abstract: System and methods are described for implementing controlled updates of containers in a distributed application deployment environment. In one implementation, a method comprises: receiving a request to update a target container of a plurality of containers within a deployed computing unit; identifying an updated configuration object to be applied to the target container based on the request; receiving or computing a health indicator representative of performance of the deployed computing unit or other containers to which the updated configuration object has been applied; and assigning the updated configuration object to the target container based on the health indicator.

Abstract: An electronic device and method for machine learning (ML) based emotion and voice conversion in audio using virtual domain mixing and fake pair-masking is disclosed. The electronic device receives a source audio associated with a first user, a reference-speaker audio associated with a second user, and a reference-emotion audio associated with a third user. The electronic device applies a set of ML models to generate a converted audio. The generated converted audio is associated with content of the source audio, an identity of the second user and an emotion of the third user. The electronic device applies each of a source speaker classifier and a source emotion classifier on the converted audio, and re-trains an adversarial model. Based on the re-training, the adversarial model may allow conversion of an input audio to an output audio associated with the identity of the second user and the emotion of the third user.

Abstract: A computer-implemented method for tracking surgical textiles includes receiving a first image comprising a first textile-depicting image region, receiving a second image comprising a second textile-depicting image region, measuring a likelihood that the first and second image regions depict at least a portion of the same textile, and incrementing an index counter if the measure of likelihood does not meet a predetermined threshold. The measure of likelihood may be based on at least one classification feature at least partially based on aspects or other features of the first and second images.

Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: A method includes receiving, by a tracking system server, and from a first computing device of a plurality of computing devices, a request to locate a tracking device associated with the tracking system server. The request includes reward information for locating the tracking device. The method includes establishing, by the tracking system server, a search party for locating the tracking device in response to the request. The established search party includes one or more second computing devices of the plurality of computing devices. The method includes receiving, by the tracking system server, and from at least one of the one or more second computing devices, location information associated with the tracking device, and in response to receiving the location information associated with the tracking device, transmitting, by the tracking system server, the reward information to the at least one of the one or more second computing devices.

Abstract: Provided are methods and systems for suggesting an enhanced multimodal interaction. The method for suggesting at least one modality of interaction, includes: identifying, by an electronic device, initiation of an interaction by a user with a first device using a first modality; detecting, by the electronic device, an intent of the user and a state of the user based on the identified initiated interaction; determining, by the electronic device, at least one of a second modality and at least one second device, to continue the initiated interaction, based on the detected intent of the user and the detected state of the user; and providing, by the electronic device, a suggestion to the user to continue the interaction with the first device using the determined second modality, by indicating the second modality on the first device or the at least one second device.

Abstract: A tracking system can provide intervention notifications to a user to notify the user that a tracking device is potentially lost or is in a predicted state. The tracking system may notify the user that a tracking device is potentially lost or in a predicted state based on a number of factors, including: a proximity of a tracking device to other tracking devices or a user's mobile device, a movement of a tracking device to more than a threshold distance away from a mobile device or other tracking devices, a location of a tracking device relative to a geographic location or to geographic boundaries, a usage or movement behavior of the tracking device, a usage or movement behavior of a user or owner of a tracking device, information received from an external source, or information received from sensors within the tracking device or a user's mobile.

Abstract: A computer-implemented method for tracking surgical textiles includes receiving a first image comprising a first textile-depicting image region, receiving a second image comprising a second textile-depicting image region, measuring a likelihood that the first and second image regions depict at least a portion of the same textile, and incrementing an index counter if the measure of likelihood does not meet a predetermined threshold. The measure of likelihood may be based on at least one classification feature at least partially based on aspects or other features of the first and second images.

Abstract: An extensible platform-as-a-service (PaaS) system is used during the software development lifecycle (SDLC) processes of an application. The system, according to various embodiments, receives indications that changes are made to one or more templates or software bundles stored in a software library and coordinates how changes to a particular template will be applied to applications for an enterprise system. Specifically, the system may identify applications that are using the template and determine an ordering for a plurality of application groups that indicates a sequence in which the updates will be applied to the applications. In this manner, template updates can be automatically and systematically deployed to applications without significant involvement by users of the PaaS system.